{"dp_type": "Dataset", "free_text": "Satellite"}
[{"awards": "1929991 Pettit, Erin C", "bounds_geometry": ["POLYGON((-106.5 -74.5,-106.3 -74.5,-106.1 -74.5,-105.9 -74.5,-105.7 -74.5,-105.5 -74.5,-105.3 -74.5,-105.1 -74.5,-104.9 -74.5,-104.7 -74.5,-104.5 -74.5,-104.5 -74.6,-104.5 -74.7,-104.5 -74.8,-104.5 -74.9,-104.5 -75,-104.5 -75.1,-104.5 -75.2,-104.5 -75.3,-104.5 -75.4,-104.5 -75.5,-104.7 -75.5,-104.9 -75.5,-105.1 -75.5,-105.3 -75.5,-105.5 -75.5,-105.7 -75.5,-105.9 -75.5,-106.1 -75.5,-106.3 -75.5,-106.5 -75.5,-106.5 -75.4,-106.5 -75.3,-106.5 -75.2,-106.5 -75.1,-106.5 -75,-106.5 -74.9,-106.5 -74.8,-106.5 -74.7,-106.5 -74.6,-106.5 -74.5))"], "date_created": "Fri, 21 Feb 2025 00:00:00 GMT", "description": "This dataset comprises GeoTiff files that capture the yearly averages of ice-flow velocity (including x- and y-components, and flow speed) and strain rates (longitudinal, transverse, and shear) for the Thwaites Eastern Ice Shelf (TEIS) from 2013 to 2022. The velocity grids were generated using ITS_LIVE image-pair velocities available throughout the year, ensuring a consistent extent and spatial resolution for each annual composite. These composites were created by stacking all available image pairs and taking the median value for each grid cell. Small data gaps near the grounding line were filled using bilinear interpolation. Each pixel in the grid represents the median value of all available pixels during the specified period. The data are gridded at a spatial resolution of 120m in a polar stereographic projection (EPSG:3031). Speed is given in metres per day (m/yr), and strain rates are given in units/day. Additional funding was received from NE/S006419/1.", "east": -104.5, "geometry": ["POINT(-105.5 -75)"], "keywords": "Antarctica; Cryosphere; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Glaciology; Ice Shelf; Remote Sensing; Satellite Imagery; Thwaites; Thwaites Glacier; Velocity", "locations": "Thwaites Glacier; Antarctica; Thwaites; Antarctica", "north": -74.5, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Banerjee, Debangshu; Lilien, David; Truffer, Martin; Luckman, Adrian; Wild, Christian; Pettit, Erin; Scambos, Ted; Muto, Atsuhiro; Alley, Karen", "project_titles": "NSF-NERC: Thwaites-Amundsen Regional Survey and Network (TARSAN) Integrating Atmosphere-Ice-Ocean Processes affecting the Sub-Ice-Shelf Environment", "projects": [{"proj_uid": "p0010162", "repository": "USAP-DC", "title": "NSF-NERC: Thwaites-Amundsen Regional Survey and Network (TARSAN) Integrating Atmosphere-Ice-Ocean Processes affecting the Sub-Ice-Shelf Environment"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "Thwaites (ITGC)", "south": -75.5, "title": "Yearly velocity and strain-rate averages from the Thwaites Eastern Ice Shelf, 2013-2022", "uid": "601904", "west": -106.5}, {"awards": "1853291 Girton, James", "bounds_geometry": ["POLYGON((-70 -58,-68.8 -58,-67.6 -58,-66.4 -58,-65.2 -58,-64 -58,-62.8 -58,-61.6 -58,-60.4 -58,-59.2 -58,-58 -58,-58 -58.8,-58 -59.6,-58 -60.4,-58 -61.2,-58 -62,-58 -62.8,-58 -63.6,-58 -64.4,-58 -65.2,-58 -66,-59.2 -66,-60.4 -66,-61.6 -66,-62.8 -66,-64 -66,-65.2 -66,-66.4 -66,-67.6 -66,-68.8 -66,-70 -66,-70 -65.2,-70 -64.4,-70 -63.6,-70 -62.8,-70 -62,-70 -61.2,-70 -60.4,-70 -59.6,-70 -58.8,-70 -58))"], "date_created": "Mon, 17 Feb 2025 00:00:00 GMT", "description": "This data file collects the initial processed versions of all upper-ocean and lower-atmosphere data streams (along with subsampled satellite and reanalysis products along the survey track) from the 2019/20 deployment of the APL-UW Wave Glider autonomous surface vehicle (SV3-153) in Drake Passage.\r\n\u003cbr/\u003e", "east": -58.0, "geometry": ["POINT(-64 -62)"], "keywords": "Antarctica; Cryosphere; Drake Passage; LMG1909; LMG2002; R/v Laurence M. Gould; Temperature; Wave Glider; Wind Speed", "locations": "Antarctica; Drake Passage", "north": -58.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "persons": "Girton, James", "project_titles": "Wave Glider Observations of Surface Fluxes and Mixed-layer Processes in the Southern Ocean", "projects": [{"proj_uid": "p0010493", "repository": "USAP-DC", "title": "Wave Glider Observations of Surface Fluxes and Mixed-layer Processes in the Southern Ocean"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -66.0, "title": "APL-UW Southern Ocean Wave Glider Data from 2019/20 Mission", "uid": "601902", "west": -70.0}, {"awards": "1143836 Leventer, Amy", "bounds_geometry": ["POLYGON((117 -66,119.9 -66,122.8 -66,125.7 -66,128.6 -66,131.5 -66,134.4 -66,137.3 -66,140.2 -66,143.1 -66,146 -66,146 -66.1,146 -66.2,146 -66.3,146 -66.4,146 -66.5,146 -66.6,146 -66.7,146 -66.8,146 -66.9,146 -67,143.1 -67,140.2 -67,137.3 -67,134.4 -67,131.5 -67,128.6 -67,125.7 -67,122.8 -67,119.9 -67,117 -67,117 -66.9,117 -66.8,117 -66.7,117 -66.6,117 -66.5,117 -66.4,117 -66.3,117 -66.2,117 -66.1,117 -66))"], "date_created": "Mon, 21 Oct 2024 00:00:00 GMT", "description": "Totten Glacier is the termination of the largest marine-based portion of the East Antarctic Ice Sheet, the Aurora Subglacial Basin. Yet little is known about the glacial evolution of the catchment and the factors influencing its present and past behavior. Due its remote location and heavy sea ice, the continental shelf in front of the Totten Glacier had not been comprehensively surveyed prior to this study. Satellite observations indicate that the Totten ice drainage system is thinning, and it has been hypothesized that this thinning is in response to undermelting by warm ocean waters over the continental shelf. While this process is observed elsewhere in Antarctica (e.g. the rapidly retreating Pine Island Glacier in West Antarctica), the Totten Glacier system is potentially Antarcticas most important glacial drainage system due to its large size; it is three times larger than any system in West Antarctica. \u003c/br\u003eThe main goals of this proposal were: \u003c/br\u003eTo generate multibeam bathymetric maps of the continental shelf proximal to the Totten Glacier system to understand the recent regional glacial history and to document the pathways, if any, for circumpolar deep water to move onto the shelf. \u003c/br\u003eTo conduct a physical oceanographic survey of the region proximal to the Totten Glacier system, to determine the presence, if any, of warm ocean waters over the continental shelf.\u003c/br\u003eTo conduct a seismic survey of the continental shelf to assess the long-term evolution of the glacial system in the Aurora Subglacial Basin.\u003c/br\u003eTo collect marine sediment cores to determine the regional deglacial to Holocene climate history and the influence of warm circumpolar deep water.", "east": 146.0, "geometry": ["POINT(131.5 -66.5)"], "keywords": "Antarctica; Cryosphere; Diatom; NBP1402; Totten Glacier", "locations": "Antarctica; Antarctica; Totten Glacier", "north": -66.0, "nsf_funding_programs": "Antarctic Integrated System Science", "persons": "Leventer, Amy; NBP1402 science party, ", "project_titles": "Collaborative Research: Totten Glacier System and the Marine Record of Cryosphere - Ocean Dynamics", "projects": [{"proj_uid": "p0000008", "repository": "USAP-DC", "title": "Collaborative Research: Totten Glacier System and the Marine Record of Cryosphere - Ocean Dynamics"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -67.0, "title": "NBP1402 diatom data", "uid": "601845", "west": 117.0}, {"awards": "2136938 Tedesco, Marco", "bounds_geometry": ["POLYGON((-40 67.55,-39.611 67.55,-39.222 67.55,-38.833 67.55,-38.444 67.55,-38.055 67.55,-37.666 67.55,-37.277 67.55,-36.888 67.55,-36.499 67.55,-36.11 67.55,-36.11 67.28999999999999,-36.11 67.03,-36.11 66.77,-36.11 66.51,-36.11 66.25,-36.11 65.99,-36.11 65.73,-36.11 65.47,-36.11 65.21000000000001,-36.11 64.95,-36.499 64.95,-36.888 64.95,-37.277 64.95,-37.666 64.95,-38.055 64.95,-38.444 64.95,-38.833 64.95,-39.222 64.95,-39.611 64.95,-40 64.95,-40 65.21000000000001,-40 65.47,-40 65.73,-40 65.99,-40 66.25,-40 66.51,-40 66.77,-40 67.03,-40 67.28999999999999,-40 67.55))"], "date_created": "Mon, 07 Oct 2024 00:00:00 GMT", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003eThe data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Mod\u00e9le Atmosph\u00e9rique R\u00e8gional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. \r\n\u003cbr/\u003e\u003cbr/\u003eA similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. \r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003e", "east": -36.11, "geometry": ["POINT(-38.055 66.25)"], "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Greenland; Ice Sheet; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "locations": "Greenland; Antarctica; Greenland", "north": 67.55, "nsf_funding_programs": "Polar Cyberinfrastructure", "persons": "Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco", "project_titles": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "projects": [{"proj_uid": "p0010277", "repository": "USAP-DC", "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": 64.95, "title": "Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications", "uid": "601841", "west": -40.0}, {"awards": "2136938 Tedesco, Marco", "bounds_geometry": ["POLYGON((-68.5 -65.25,-67.35 -65.25,-66.2 -65.25,-65.05 -65.25,-63.9 -65.25,-62.75 -65.25,-61.6 -65.25,-60.45 -65.25,-59.3 -65.25,-58.15 -65.25,-57 -65.25,-57 -65.652,-57 -66.054,-57 -66.456,-57 -66.858,-57 -67.25999999999999,-57 -67.66199999999999,-57 -68.064,-57 -68.466,-57 -68.868,-57 -69.27,-58.15 -69.27,-59.3 -69.27,-60.45 -69.27,-61.6 -69.27,-62.75 -69.27,-63.9 -69.27,-65.05 -69.27,-66.2 -69.27,-67.35 -69.27,-68.5 -69.27,-68.5 -68.868,-68.5 -68.466,-68.5 -68.064,-68.5 -67.66199999999999,-68.5 -67.25999999999999,-68.5 -66.858,-68.5 -66.456,-68.5 -66.054,-68.5 -65.652,-68.5 -65.25))"], "date_created": "Mon, 07 Oct 2024 00:00:00 GMT", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Lambert azimuthal equal area projection; EPSG 9820) over Larsen C Ice Shelf and surrounding areas in Antarctica. The data is prepared to be used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n\u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003eThe data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Mod\u00e9le Atmosph\u00e9rique R\u00e8gional (MAR) regional climate model, a static digital elevation model (DEM), and an ice sheet mask. \r\n\u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003eA similar dataset has been produced for Helheim Glacier, Greenland and is also available through the US Antarctic Program Data Center.", "east": -57.0, "geometry": ["POINT(-62.75 -67.25999999999999)"], "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Larsen C Ice Shelf; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "locations": "Antarctica; Larsen C Ice Shelf", "north": -65.25, "nsf_funding_programs": "Polar Cyberinfrastructure", "persons": "Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco", "project_titles": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "projects": [{"proj_uid": "p0010277", "repository": "USAP-DC", "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.27, "title": "Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications", "uid": "601842", "west": -68.5}, {"awards": "1853377 Shero, Michelle; 0838937 Costa, Daniel; 0838892 Burns, Jennifer", "bounds_geometry": ["POLYGON((-180 -72,-179.8 -72,-179.6 -72,-179.4 -72,-179.2 -72,-179 -72,-178.8 -72,-178.6 -72,-178.4 -72,-178.2 -72,-178 -72,-178 -72.7,-178 -73.4,-178 -74.1,-178 -74.8,-178 -75.5,-178 -76.2,-178 -76.9,-178 -77.6,-178 -78.3,-178 -79,-178.2 -79,-178.4 -79,-178.6 -79,-178.8 -79,-179 -79,-179.2 -79,-179.4 -79,-179.6 -79,-179.8 -79,180 -79,178.2 -79,176.4 -79,174.6 -79,172.8 -79,171 -79,169.2 -79,167.4 -79,165.6 -79,163.8 -79,162 -79,162 -78.3,162 -77.6,162 -76.9,162 -76.2,162 -75.5,162 -74.8,162 -74.1,162 -73.4,162 -72.7,162 -72,163.8 -72,165.6 -72,167.4 -72,169.2 -72,171 -72,172.8 -72,174.6 -72,176.4 -72,178.2 -72,-180 -72))"], "date_created": "Fri, 20 Sep 2024 00:00:00 GMT", "description": "Diel vertical migrations (DVM) have been well-documented across numerous taxa, with prey descend through the water column during daylight hours to avoid visual predators and feed at the surface at night. However, the ability of marine mammals such as Weddell seals (Leptonychotes weddellii) to follow prey to depths is likely constrained by limited breath-hold capacities and the physiological consequences of pushing aerobic thresholds. In particular, dives that exceed the aerobic dive limit require exponentially longer surface recuperation times to clear lactate byproducts from circulation. This is time that the animals then cannot spend foraging. In this study, we assess the circadian organization of the Weddell seal\u0027s dive efforts and when animals make their longest/deepest (most \u0027extreme\u0027) dives that far exceed aerobic thresholds. Sixty-two adult Weddell seals were instrumented with satellite linked relay loggers in the Ross Sea to collect behavioral information across the austral winter. Daily activities are likely to shift across the year in a highly-seasonal polar environment, and through this \u0027natural experiment\u0027 we test how free-ranging seals alter foraging behavior during Polar Day and Night (continuous light, LL and dark, DD, respectively) and varying light/dark (LD) cycling across the year.", "east": -178.0, "geometry": ["POINT(172 -75.5)"], "keywords": "Aerobic; Antarctica; Cryosphere; Weddell Seal", "locations": "Antarctica; Antarctica", "north": -72.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems", "persons": "Shero, Michelle", "project_titles": "Collaborative Research: Physiological and Genetic Correlates of Reproductive Success in High- versus Low-Quality Weddell seals; Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea", "projects": [{"proj_uid": "p0000661", "repository": "USAP-DC", "title": "Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea"}, {"proj_uid": "p0010369", "repository": "USAP-DC", "title": "Collaborative Research: Physiological and Genetic Correlates of Reproductive Success in High- versus Low-Quality Weddell seals"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -79.0, "title": "Weddell seal dive behavior and rhythmicity from 2010-2012 in the Ross Sea", "uid": "601835", "west": 162.0}, {"awards": "0087144 Conway, Howard", "bounds_geometry": ["POLYGON((-150 -83.5,-148 -83.5,-146 -83.5,-144 -83.5,-142 -83.5,-140 -83.5,-138 -83.5,-136 -83.5,-134 -83.5,-132 -83.5,-130 -83.5,-130 -83.65,-130 -83.8,-130 -83.95,-130 -84.1,-130 -84.25,-130 -84.4,-130 -84.55,-130 -84.7,-130 -84.85,-130 -85,-132 -85,-134 -85,-136 -85,-138 -85,-140 -85,-142 -85,-144 -85,-146 -85,-148 -85,-150 -85,-150 -84.85,-150 -84.7,-150 -84.55,-150 -84.4,-150 -84.25,-150 -84.1,-150 -83.95,-150 -83.8,-150 -83.65,-150 -83.5))"], "date_created": "Mon, 22 Jul 2024 00:00:00 GMT", "description": "Marine ice sheets are low-pass filters of climate variability that take centuries to adjust to interior and near-terminus changes in mass balance. Constraining these century-scale changes from satellite observations that span only the last 40 years is challenging. Here, we take a different approach of carefully synthesizing different data sets to infer changes in the configurations of van der Veen and Mercer Ice Streams on the Siple Coast over the past 3000 years from englacial features encoded in ice-penetrating radar data. Englacial radar data from Conway Ridge reveal smooth, surface conformal layers overlying disrupted stratigraphy that suggest the van der Veen Ice Stream was 40 km wider over 3000 years ago. Englacial layer dating indicates that the ice stream narrowed to its present configuration between $\\sim3000$ and $\\sim1000$ years ago. Similarly disrupted stratigraphy and buried crevasses suggest that ice flowing from Mercer to Whillans Ice Stream across the northwestern tip of the ridge slowed shortly after. Using an ice-flow model capable of simulating shear margin migration, we evaluate whether small changes in ice thickness can lead to large changes in shear margin location. Our results suggest that the tip of Conway Ridge is sensitive to thinning and thickening, and that when the basal strength at the tip of the ridge increases with the height above flotation, the ice sheet shear margins can change quickly.", "east": -130.0, "geometry": ["POINT(-140 -84.25)"], "keywords": "Antarctica; Cryosphere; Siple Coast", "locations": "Siple Coast; Antarctica", "north": -83.5, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Hoffman, Andrew; Conway, Howard; Christianson, Knut", "project_titles": "Glacial History of Ridge AB, West Antarctica", "projects": [{"proj_uid": "p0010470", "repository": "USAP-DC", "title": "Glacial History of Ridge AB, West Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -85.0, "title": "Impulse HF radar data from Conway Ridge", "uid": "601810", "west": -150.0}, {"awards": "2044924 Barrett, John", "bounds_geometry": ["POLYGON((161.70776367188 -77.519802097166,161.899475097661 -77.519802097166,162.091186523442 -77.519802097166,162.282897949223 -77.519802097166,162.474609375004 -77.519802097166,162.666320800785 -77.519802097166,162.858032226566 -77.519802097166,163.049743652347 -77.519802097166,163.241455078128 -77.519802097166,163.433166503909 -77.519802097166,163.62487792969 -77.519802097166,163.62487792969 -77.54867059480199,163.62487792969 -77.57753909243799,163.62487792969 -77.606407590074,163.62487792969 -77.63527608771,163.62487792969 -77.664144585346,163.62487792969 -77.69301308298199,163.62487792969 -77.72188158061799,163.62487792969 -77.750750078254,163.62487792969 -77.77961857589,163.62487792969 -77.808487073526,163.433166503909 -77.808487073526,163.241455078128 -77.808487073526,163.049743652347 -77.808487073526,162.858032226566 -77.808487073526,162.666320800785 -77.808487073526,162.474609375004 -77.808487073526,162.282897949223 -77.808487073526,162.091186523442 -77.808487073526,161.899475097661 -77.808487073526,161.70776367188 -77.808487073526,161.70776367188 -77.77961857589,161.70776367188 -77.750750078254,161.70776367188 -77.72188158061799,161.70776367188 -77.69301308298199,161.70776367188 -77.664144585346,161.70776367188 -77.63527608771,161.70776367188 -77.606407590074,161.70776367188 -77.57753909243799,161.70776367188 -77.54867059480199,161.70776367188 -77.519802097166))"], "date_created": "Wed, 03 Apr 2024 00:00:00 GMT", "description": "Microbial communities are the primary drivers of carbon cycling in the McMurdo Dry Valleys of Antarctica. Dense microbial mats, consisting mainly of photosynthetic cyanobacteria, occupy aquatic areas associated with streams and lakes. Other microbial communities also occur at lower densities as patchy surface biological soil crusts (biocrusts) across the terrestrial landscape. Multispectral satellite data have been used to model microbial mat abundance in high-density areas like stream and lake margins, but no previous studies had investigated the lower detection limits of biocrusts. Here, we describe remote sensing and field-based survey and sampling approaches to study the detectability and distribution of biocrusts in the McMurdo Dry Valleys. Using a combination of multi- and hyperspectral tools and spectral linear unmixing, we modeled the abundances of biocrust in eastern Taylor Valley. Our spectral approaches can detect low masses of biocrust material in laboratory microcosms down to biocrust concentrations of 1% by mass. These techniques also distinguish the spectra of biocrust from both surface rock and mineral signatures from orbit. We found that biocrusts are present throughout the soils of eastern Taylor Valley and are associated with diverse underlying soil communities. The densest biocrust communities identified in this study had total organic carbon 5x greater than the content of typical arid soils. The most productive biocrusts were located downslope of melting snowpacks in unique soil ecosystems that are distinct from the surrounding arid landscape. There are similarities between the snowpack and stream sediment communities (high diversity of soil invertebrates) as well as their ecosystem properties (e.g., persistence of liquid water, high transfer of available nutrients, lower salinity from flushing) compared to the typical arid terrestrial ecosystem of the dry valleys. Our approach extends the capability of orbital remote sensing of photosynthetic communities out of the aquatic margins and into the drier soils which comprise most of this landscape. This interdisciplinary work is critical for measuring and monitoring terrestrial carbon stocks and predicting future ecosystem dynamics in this currently water-limited but increasingly dynamic Antarctic landscape, which is particularly climate-sensitive and difficult to access.\r\n", "east": 163.62487792969, "geometry": ["POINT(162.666320800785 -77.664144585346)"], "keywords": "Antarctica; Carbon; Cryosphere; McMurdo Dry Valleys; Snow", "locations": "McMurdo Dry Valleys; Antarctica", "north": -77.519802097166, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Barrett, John", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -77.808487073526, "title": "Hyperspectral reflectance values and biophysicochemical properties of biocrusts and soils in the Fryxell Basin, McMurdo Dry Valleys, Antarctica", "uid": "601773", "west": 161.70776367188}, {"awards": "1643436 Donohoe, Aaron", "bounds_geometry": ["POLYGON((-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 72,-180 54,-180 36,-180 18,-180 0,-180 -18,-180 -36,-180 -54,-180 -72,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -72,180 -54,180 -36,180 -18,180 0,180 18,180 36,180 54,180 72,180 90,180 90,180 90,180 90,180 90,180 90,180 90,180 90,180 90,180 90,-180 90))"], "date_created": "Fri, 10 Jun 2022 00:00:00 GMT", "description": "The partitioning of top of atmosphere radiation into surface and atmospheric contributions using the isotropic SW model over the CERES satellite record ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Southern Ocean", "locations": "Antarctica; Southern Ocean", "north": 90.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "persons": "Donohoe, Aaron", "project_titles": "What Processes Drive Southern Ocean Sea Ice Variability and Trends? Insights from the Energy Budget of the Coupled Cryosphere-ocean-atmosphere System", "projects": [{"proj_uid": "p0010336", "repository": "USAP-DC", "title": "What Processes Drive Southern Ocean Sea Ice Variability and Trends? Insights from the Energy Budget of the Coupled Cryosphere-ocean-atmosphere System"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Partionining of CERES planetary albedo between atmospheric and surface reflection", "uid": "601579", "west": -180.0}, {"awards": "1844793 Aksoy, Mustafa", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Tue, 29 Mar 2022 00:00:00 GMT", "description": "This MATLAB dataset includes brightness temperatures measured by AMSR2 and SSMIS from 01/01/2020 to 06/30/2021 over the Concordia and Vostok Stations as well as the entire Antarctic Ice Sheet. Vertically and horizontally polarized GPM SSMIS/AMSR2 common intercalibrated brightness temperatures at 10.65 GHz, 18.7 GHz, 19.35 GHz, 23.8 GHz, 36.5 GHz, 37 GHz, 89 GHz, and 91.655 GHz averaged over 0.25-degree x 0.25-degree grid cells are stored. In addition, AMSR2 measurements at 6.9 GHz and 7.3 GHz in both polarizations are included. Please read the text file \u201csatData_readMe.txt\u201d for more details. ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Antarctic Ice Sheet; Satellite; Vostok", "locations": "Vostok; Antarctica; Antarctic Ice Sheet", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Aksoy, Mustafa; Kaurejo, Dua; Kar, Rahul", "project_titles": "Characterization of Antarctic Firn by Multi-Frequency Passive Remote Sensing from Space", "projects": [{"proj_uid": "p0010206", "repository": "USAP-DC", "title": "Characterization of Antarctic Firn by Multi-Frequency Passive Remote Sensing from Space"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Antarctic Firn Brightness Temperatures Measured by AMSR2 and SSMIS (Concordia, Vostok, and the Entire Ice Sheet)", "uid": "601550", "west": -180.0}, {"awards": "1744794 Jenouvrier, Stephanie", "bounds_geometry": null, "date_created": "Mon, 24 Jan 2022 00:00:00 GMT", "description": "In a fast-changing world, polar ecosystems are threatened by climate variability.\r\nUnderstanding the roles of fine-scale processes, and linear and nonlinear effects of climate factors on the demography of polar species is crucial for anticipating the future state of these fragile ecosystems. While the effects of sea ice on polar marine top predators are increasingly being studied, little is known about the impacts of landfast ice (LFI) on this species community. Based on a unique 39-year time series of satellite imagery and in situ meteorological conditions and on the world\u2019s longest dataset of emperor penguin (Aptenodytes forsteri) breeding parameters, we studied the effects of fine-scale variability of LFI andweather conditions on this species\u2019 reproductive success. We found that longer distances to the LFI edge (i.e. foraging areas) negatively affected the overall breeding success but also the fledging success. Climate window analyses suggested that chick mortality was particularly sensitive\r\nto LFI variability between August and November. Snowfall in May also affected hatching success. Given the sensitivity of LFI to storms and changes in wind direction, important future repercussions on the breeding habitat of emperor penguins are to be expected in the context of climate change.\r\n\r\nThese files contain the code and data from this manuscript. ", "east": null, "geometry": null, "keywords": "Antarctica; Breeding Success; Emperor Penguin; Fast Sea Ice", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Jenouvrier, Stephanie; Labrousse, Sara", "project_titles": "A Multi-scale Approach to Understanding Spatial and Population Variability in Emperor Penguins", "projects": [{"proj_uid": "p0010229", "repository": "USAP-DC", "title": "A Multi-scale Approach to Understanding Spatial and Population Variability in Emperor Penguins"}, {"proj_uid": "p0010447", "repository": "USAP-DC", "title": "A Multi-scale Approach to Understanding Spatial and Population Variability in Emperor Penguins"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Landfast ice: a major driver of reproductive success in a polar seabird", "uid": "601513", "west": null}, {"awards": "1246353 Anderson, John; 1745055 Stearns, Leigh; 1745043 Simkins, Lauren", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Wed, 10 Nov 2021 00:00:00 GMT", "description": "The dataset here allows exploration of the causes and significance of Antarctic grounding-line sinuosity by coupling observations of contemporary Antarctic grounding lines and paleo-grounding lines expressed as ice-marginal landforms on the Ross Sea continental shelf. Modern grounding lines are derived from the MEaSUREs Version 2 Differential Satellite Radar Interferometry dataset with spatial resolutions of 25-120 m spanning February 1992 to December 2014 (Rignot et al., 2016; Mouginot et al., 2017). The boundaries of individual grounding lines representative of individual glacial catchments (n=664) were delineated by the inflection points of the shear strain rate, \u03b5xy (c.f Van der Veen et al., 2011). Sinuosity was calculated as the ratio of the true length, orthogonal to ice-flow direction, of the grounding lines and the straight line length between end-points and in units of km/km. Raster data were extracted at 1-km points along each grounding line; the mean was calculated for each grounding line and merged in a table with sinuosity data. A dataset of 6,275 paleo-grounding lines expressed as ice-marginal landforms on the deglaciated western Ross Sea continental shelf are used in this study, originally published by Simkins et al., 2018. The ice-marginal landforms were mapped from multibeam echo sounder data that was collected onboard the RVIB Nathaniel B. Palmer (NBP) 15-02 cruise using a Kongsberg EM122 operating in dual swath mode at 12 kHz frequency with 30-60% swath overlap (Cruise DOI: 10.7284/901477). The resulting bathymetry data was gridded at 20-40 m with decimeter vertical elevation resolution depending on water depth and sea-state. Sinuosity is calculated as a ratio of true (mapped) landform length, measured in the across paleo-ice flow direction at the crest of the landform, to the straight line distance between the mapped landform endpoints and in units of km/km. \r\n\r\nTo compare modern and paleo-grounding lines, we use a consistent length scale by segmenting the grounding lines into 2-km sections for the two datasets (modern, n=12,966; paleo, n=5,832), even though this eliminates grounding lines that are less than 2-km long and thus results in 1 modern and 3,873 paleo-grounding lines removed. The full-length and 2-km segmented groundings lines are provided as shapefiles \"InSAR_groundinglines_full\" and \"InSAR_groundinglines_2km\", the paleo-grounding lines are provided as shapefiles \"RossSea_icemarginal_full\" and \"RossSea_icemarginal_2km\", and points marking modern grounding lines retreat from repeat InSAR surveys are provided as shapefile \"InSAR_retreat_points\", all stored together in a geodatabase named \"Antarctic_groundinglines.gbd\". Additional grounding line metrics, including length, sinuosity, bed roughness, and bed slope for modern and paleo-grounding lines, and height-above-buoyancy gradient, ice-flow velocity, presence of pinning points and ice shelves are provided for modern grounding lines. \r\n\r\nThe published dataset was compiled and analyzed in the article \"Controls on circum-Antarctic grounding-line sinuosity \" by Simkins, L.M., Stearns, L.A., and Riverman, K.L, which will be submitted to a peer-review journal in November 2021.\r\n\r\nReferences\r\nMouginot, J., B. Scheuchl, and E. Rignot. 2017. MEaSUREs Antarctic Boundaries for IPY 2007-2009 from Satellite Radar, Version 2. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. \r\n\r\nRignot, E., J. Mouginot, and B. Scheuchl. 2016. MEaSUREs Antarctic Grounding Line from Differential Satellite Radar Interferometry, Version 2. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. \r\n\r\nSimkins, L. M., Greenwood, S. L., \u0026 Anderson, J. B. (2018). Diagnosing ice sheet grounding line stability from landform morphology. The Cryosphere, 12(8), 2707-2726.\r\n\r\nVan der Veen, C. J., J. C. Plummer, \u0026 L. A. Stearns. (2011). Controls on the recent speed up of Jakobshavn Isbr\u00e6, West Greenland. Journal of Glaciology, 57(204), 770-782", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Bed Roughness; Bed Slope; Elevation; Glaciers/ice Sheet; Glaciers/Ice Sheet; Pinning Points", "locations": "Antarctica; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Earth Sciences; Antarctic Earth Sciences; Antarctic Earth Sciences", "persons": "Simkins, Lauren; Stearns, Leigh; Riverman, Kiya", "project_titles": "Collaborative Research: Topographic controls on Antarctic Ice Sheet grounding line retreat - integrating models and observations; Evidence for Paleo Ice Stream Collapse in the Western Ross Sea since the Last Glacial Maximum.", "projects": [{"proj_uid": "p0000395", "repository": "USAP-DC", "title": "Evidence for Paleo Ice Stream Collapse in the Western Ross Sea since the Last Glacial Maximum."}, {"proj_uid": "p0010269", "repository": "USAP-DC", "title": "Collaborative Research: Topographic controls on Antarctic Ice Sheet grounding line retreat - integrating models and observations"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Circum-Antarctic grounding-line sinuosity", "uid": "601484", "west": -180.0}, {"awards": null, "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Fri, 13 Aug 2021 00:00:00 GMT", "description": "This data set contains (1) ice thickness (H) and basal sliding coefficient (beta) maps for the Antarctic Ice Sheet from Arthern et al. (2015) \"Flow speed within the Antarctic ice sheet and its controls inferred from satellite observations\", and (2) Antarctic subglacial lake locations and estimated sizes from Siegfried and Fricker (2018) \"Thirteen years of subglacial lake activity in Antarctica from multi-mission satellite altimetry\". Data are in zarr (thickness and sliding coefficient maps) and ASCII (lake locations and sizes) formats.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Antarctic Ice Sheet; Ice Thickness; Subglacial Lake", "locations": "Antarctica; Antarctic Ice Sheet", "north": -60.0, "nsf_funding_programs": null, "persons": "Stubblefield, Aaron; Kingslake, Jonathan; Siegfried, Matthew; Arthern, Robert", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -90.0, "title": "Antarctic Ice Thickness, Slipperiness, and Subglacial Lake Locations", "uid": "601470", "west": -180.0}, {"awards": "1543432 Hock, Regine", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Tue, 22 Jun 2021 00:00:00 GMT", "description": "This dataset contains the total number of days per year with meltwater present at the surface across the Antarctic ice sheet and surrounding ice shelves derived from passive microwave satellite observations for each melt year from 1979/80 to 2019/20. This data comes from daily and near-daily SMMR, SSM/I, and SSMIS results at 25 km resolution at 19 GHz horizontal polarization. Each melt year starts on July 1 and ends June 30. The melt detection algorithm is described in Johnson and others (2020) and uses KMeans clustering analysis of the annual brightness temperature time series on each pixel to detect melt for that pixel and year. ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Melt Days; Passive Microwave; Snow/ice; Snow/Ice; Surface Melt", "locations": "Antarctica; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Johnson, Andrew; Hock, Regine; Fahnestock, Mark", "project_titles": "Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model", "projects": [{"proj_uid": "p0010408", "repository": "USAP-DC", "title": "Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Antarctic passive microwave Kmeans derived surface melt days, 1979-2020", "uid": "601457", "west": -180.0}, {"awards": "0636719 Joughin, Ian; 0636970 Tulaczyk, Slawek", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Wed, 21 Apr 2021 00:00:00 GMT", "description": "This data set contains lake boundaries, volume changes, and gridded elevations for 124 active subglacial lakes beneath the Antarctic ice sheet. Lakes were identified using laser altimetry data obtained from 2003 to 2009 by NASA\u0027s Ice, Cloud, and Land Elevation Satellite (ICESat) mission. The data are provided in Keyhole Markup Language (KML), comma-separated values (CSV), and GEOTiff formats.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Altimetry; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Icesat; Laser Altimetry; Subglacial Lake", "locations": "Antarctica; Antarctica", "north": -60.0, "nsf_funding_programs": null, "persons": "Smith, Ben; Joughin, Ian; Tulaczyk, Slawek; Fricker, Helen", "project_titles": "Collaborative Research: Elevation Change Anomalies in West Antarctica and Dynamics of Subglacial Water Transport Beneath Ice Streams and their Tributaries", "projects": [{"proj_uid": "p0000115", "repository": "USAP-DC", "title": "Collaborative Research: Elevation Change Anomalies in West Antarctica and Dynamics of Subglacial Water Transport Beneath Ice Streams and their Tributaries"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Antarctic Active Subglacial Lake Inventory from ICESat Altimetry", "uid": "601439", "west": -180.0}, {"awards": "0440670 Hulbe, Christina", "bounds_geometry": ["POLYGON((-180 -77,-177 -77,-174 -77,-171 -77,-168 -77,-165 -77,-162 -77,-159 -77,-156 -77,-153 -77,-150 -77,-150 -77.9,-150 -78.8,-150 -79.7,-150 -80.6,-150 -81.5,-150 -82.4,-150 -83.3,-150 -84.2,-150 -85.1,-150 -86,-153 -86,-156 -86,-159 -86,-162 -86,-165 -86,-168 -86,-171 -86,-174 -86,-177 -86,180 -86,177.5 -86,175 -86,172.5 -86,170 -86,167.5 -86,165 -86,162.5 -86,160 -86,157.5 -86,155 -86,155 -85.1,155 -84.2,155 -83.3,155 -82.4,155 -81.5,155 -80.6,155 -79.7,155 -78.8,155 -77.9,155 -77,157.5 -77,160 -77,162.5 -77,165 -77,167.5 -77,170 -77,172.5 -77,175 -77,177.5 -77,-180 -77))"], "date_created": "Fri, 19 Feb 2021 00:00:00 GMT", "description": "The surface of the Ross Ice Shelf (RIS) is textured by flow stripes, crevasses and other fea- tures related to ice flow and deformation. Here, moderate resolution optical satellite images are used to map and classify regions of the RIS characterized by different surface textures. Because the textures arise from ice deformation, the map is used to identify structural provinces with common deformation history. We classify four province types: regions associated with large outlet glaciers, shear zones, exten- sion downstream of obstacles and suture zones between provinces with different upstream sources. Adjacent provinces with contrasting histories are in some locations deforming at different rates, suggest- ing that our province map is also an ice fabric map. Structural provinces have more complicated shapes in the part of the ice shelf fed by West Antarctic ice streams than in the part fed by outlet glaciers from the Transantarctic Mountains. The map may be used to infer past variations in stress conditions and flow events that cannot be inferred from flow traces alone.", "east": 155.0, "geometry": ["POINT(-177.5 -81.5)"], "keywords": "Antarctica", "locations": "Antarctica", "north": -77.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Hulbe, Christina; Ledoux, Christine; Forbes, Martin", "project_titles": "Collaborative Research: Using Fracture Patterns and Ice Thickness to Study the History and Dynamics of Grounding Line Migration and Shutdown of Kamb and Whillans Ice Streams", "projects": [{"proj_uid": "p0000096", "repository": "USAP-DC", "title": "Collaborative Research: Using Fracture Patterns and Ice Thickness to Study the History and Dynamics of Grounding Line Migration and Shutdown of Kamb and Whillans Ice Streams"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -86.0, "title": "MOA-derived Structural Feature Map of the Ross Ice Shelf", "uid": "601432", "west": -150.0}, {"awards": "1643715 Moussavi, Mahsa Sadat", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Thu, 10 Dec 2020 00:00:00 GMT", "description": "This dataset contains extents and depths of supraglacial lakes on ice shelves across the Antarctic ice sheet, mapped from Landsat 8 imagery collected over the 2013-2020 period. ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Landsat-8; Satellite Imagery; Supraglacial Lake", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Moussavi, Mahsa; Pope, Allen; Trusel, Luke; Abdalati, Waleed; Halberstadt, Anna Ruth", "project_titles": "Collaborative Research: Water on the Antarctic Ice Sheet: Quantifying Surface Melt and Mapping Supraglacial Lakes", "projects": [{"proj_uid": "p0010088", "repository": "USAP-DC", "title": "Collaborative Research: Water on the Antarctic Ice Sheet: Quantifying Surface Melt and Mapping Supraglacial Lakes"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Supraglacial Lakes in Antarctica", "uid": "601401", "west": -180.0}, {"awards": "1743310 Kingslake, Jonathan", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Sat, 24 Oct 2020 00:00:00 GMT", "description": "This data set contains the results presented in Lai et al. (2020), including; the 125m-resolution fracture map, the spatial distribution of fracture depths and the required initial flaw size for hydrofracture, which is calculated using linear elastic fracture mechanics (LEFM) according to the ice-shelf stress fields and thickness. The dimensionless stress (Rxx_bar, defined in Lai et al. (2020)) governs how fractures behave. Using a dimensionless stress criteria we have determined which ice-shelf areas are vulnerable to hydrofracture if inundated with melt water (Rxx_bar \u003eRxx*_bar).", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Computer Model; Fractures; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Meltwater; Model Data", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Lai, Ching-Yao", "project_titles": "Satellite observations and modelling of surface meltwater flow and its impact on ice shelves", "projects": [{"proj_uid": "p0010184", "repository": "USAP-DC", "title": "Satellite observations and modelling of surface meltwater flow and its impact on ice shelves"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Vulnerability of Antarctica\u2019s ice shelves to meltwater-driven fracture", "uid": "601395", "west": -180.0}, {"awards": null, "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Mon, 04 May 2020 00:00:00 GMT", "description": "Raw Satellite Images acquired during several Nathaniel B. Palmer and LM Gould expeditions. These are mostly downloaded during the cruises, often directly using the ships satellite receiver (TerraSat system). The data include visible and infrared images. They are organized by expedition.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; LMG0301; LMG0302; LMG0304; LMG0309; LMG0411; LMG0412; LMG0413A; LMG0414; LMG0502; LMG0511; LMG0512; LMG0514; LMG0605; LMG0610; LMG0611; LMG0611B; LMG0612; LMG0717; LMG0804; LMG0808; LMG0809; LMG0901; LMG0905; LMG0906A; LMG0909; LMG0910; LMG1001; NBP0107; NBP0301; NBP0302; NBP0304A; NBP0305; NBP0305A; NBP0401; NBP0402; NBP0404; NBP0409; NBP0501; NBP0506; NBP0508; NBP0601; NBP0602A; NBP0603; NBP0608; NBP0701; NBP0702; NBP0703; NBP0709; NBP0710; NBP0711; NBP0801; NBP0802; NBP0803; NBP0804; NBP0805; NBP0806; NBP0808; NBP0901; NBP0908; NBP1101; NBP1102; Satellite; Satellite Imagery", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": null, "persons": null, "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -90.0, "title": "Raw satellite images from NB Palmer and LM Gould Antarctic cruises", "uid": "601313", "west": -180.0}, {"awards": "1558448 Girton, James; 1341496 Girton, James", "bounds_geometry": ["POLYGON((-65 -62,-64.55 -62,-64.1 -62,-63.65 -62,-63.2 -62,-62.75 -62,-62.3 -62,-61.85 -62,-61.4 -62,-60.95 -62,-60.5 -62,-60.5 -62.35,-60.5 -62.7,-60.5 -63.05,-60.5 -63.4,-60.5 -63.75,-60.5 -64.1,-60.5 -64.45,-60.5 -64.8,-60.5 -65.15,-60.5 -65.5,-60.95 -65.5,-61.4 -65.5,-61.85 -65.5,-62.3 -65.5,-62.75 -65.5,-63.2 -65.5,-63.65 -65.5,-64.1 -65.5,-64.55 -65.5,-65 -65.5,-65 -65.15,-65 -64.8,-65 -64.45,-65 -64.1,-65 -63.75,-65 -63.4,-65 -63.05,-65 -62.7,-65 -62.35,-65 -62))"], "date_created": "Thu, 30 Apr 2020 00:00:00 GMT", "description": "This data set was acquired with a Nikon Camera on a towed YoYo camera platform during R/V Laurence M. Gould expedition LMG1703 conducted in 2017. The data are on Jpeg format", "east": -60.5, "geometry": ["POINT(-62.75 -63.75)"], "keywords": "Antarctica; Antarctic Peninsula; Benthic Images; Benthos; Biota; LMG1708; Oceans; Photo; Photo/video; Photo/Video; R/v Laurence M. Gould; Ship; Yoyo Camera", "locations": "Antarctic Peninsula; Antarctica", "north": -62.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "persons": "Girton, James", "project_titles": "Collaborative Research: Pathways of Circumpolar Deep Water to West Antarctica from Profiling Float and Satellite Measurements", "projects": [{"proj_uid": "p0010074", "repository": "USAP-DC", "title": "Collaborative Research: Pathways of Circumpolar Deep Water to West Antarctica from Profiling Float and Satellite Measurements"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -65.5, "title": "Bottom Photographs from the Antarctic Peninsula acquired during R/V Laurence M. Gould expedition LMG1703", "uid": "601302", "west": -65.0}, {"awards": null, "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Wed, 05 Sep 2018 00:00:00 GMT", "description": "In this data set we present observations of locations of surface crevasses in Antarctica collected from satellite images for the period between 2011 and 2015 for 46 ice shelf regions.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Crevasses; Fractures; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Sheet; Ice Shelf; Satellite Remote Sensing", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": null, "persons": "Emetc, Veronika", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -90.0, "title": "Location of surface crevasses in Antarctica", "uid": "601117", "west": -180.0}, {"awards": "1341547 Stroeve, Julienne", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Fri, 31 Aug 2018 00:00:00 GMT", "description": "Sea ice variability within the marginal ice zone (MIZ) and polynyas plays an important role for phytoplankton productivity and krill abundance. Therefore, mapping their spatial extent, seasonal and interannual variability is essential for understanding how current and future changes in these biologically active regions may impact the Antarctic marine ecosystem. Knowledge of the distribution of MIZ, consolidated pack ice and coastal polynyas to the total Antarctic sea ice cover may also help to shed light on the factors contributing towards recent expansion of the Antarctic ice cover in some regions and contraction in others. The long-term passive microwave 21 satellite data record provides the longest and most consistent record for assessing the proportion of the sea ice cover that is covered by each of these ice categories. This data set provides estimates of the MIZ, consolidated pack ice and polynyas from the NASA Team and Bootstrap sea ice concentration data sets, from 1979 to 2017.\r\n", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Pack Ice; Polynya; Sea Ice; Southern Ocean", "locations": "Southern Ocean; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Stroeve, Julienne", "project_titles": "Collaborative Research: Phytoplankton Phenology in the Antarctic: Drivers, Patterns, and Implications for the Adelie Penguin", "projects": [{"proj_uid": "p0000001", "repository": "USAP-DC", "title": "Collaborative Research: Phytoplankton Phenology in the Antarctic: Drivers, Patterns, and Implications for the Adelie Penguin"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Antarctic MIZ, Pack Ice and Polynya Maps from Passive Microwave Satellite Data", "uid": "601115", "west": -180.0}, {"awards": "1142084 Nevitt, Gabrielle", "bounds_geometry": ["POLYGON((40 -25,46 -25,52 -25,58 -25,64 -25,70 -25,76 -25,82 -25,88 -25,94 -25,100 -25,100 -29,100 -33,100 -37,100 -41,100 -45,100 -49,100 -53,100 -57,100 -61,100 -65,94 -65,88 -65,82 -65,76 -65,70 -65,64 -65,58 -65,52 -65,46 -65,40 -65,40 -61,40 -57,40 -53,40 -49,40 -45,40 -41,40 -37,40 -33,40 -29,40 -25))"], "date_created": "Wed, 11 Apr 2018 00:00:00 GMT", "description": "This dataset was recorded from tags fitted to Black-browed Albatross from the breeding colony called \"Canon des Sourcils Noirs\", on Kerguelen Island, located at 70.2433E, -49.6875S. The dataset contains the following items: \r\n1. GPS locations (lat,lon) and timestamps at local time (GMT-5)\r\n2. Timestamped stomach temperature measurements.", "east": 100.0, "geometry": ["POINT(70 -45)"], "keywords": "Albatross; Antarctica; Biota; Birds; Foraging; GPS Data; Southern Ocean; Stomach Temperature", "locations": "Antarctica; Southern Ocean", "north": -25.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Losekoot, Marcel; Nevitt, Gabrielle", "project_titles": "Applying High-resolution GPS Tracking to Characterize Sensory Foraging Strategies of the Black-browed Albatross, a Top Predator of the Southern Ocean Ecosystem", "projects": [{"proj_uid": "p0000420", "repository": "USAP-DC", "title": "Applying High-resolution GPS Tracking to Characterize Sensory Foraging Strategies of the Black-browed Albatross, a Top Predator of the Southern Ocean Ecosystem"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -65.0, "title": "Satellite tracks of Black-browed Albatross in the Southern Indian Ocean", "uid": "601093", "west": 40.0}, {"awards": "1141939 Lubin, Dan", "bounds_geometry": ["POLYGON((166.31 -77.5203,166.38265 -77.5203,166.4553 -77.5203,166.52795 -77.5203,166.6006 -77.5203,166.67325 -77.5203,166.7459 -77.5203,166.81855 -77.5203,166.8912 -77.5203,166.96385 -77.5203,167.0365 -77.5203,167.0365 -77.52527,167.0365 -77.53024,167.0365 -77.53521,167.0365 -77.54018,167.0365 -77.54515,167.0365 -77.55012,167.0365 -77.55509,167.0365 -77.56006,167.0365 -77.56503,167.0365 -77.57,166.96385 -77.57,166.8912 -77.57,166.81855 -77.57,166.7459 -77.57,166.67325 -77.57,166.6006 -77.57,166.52795 -77.57,166.4553 -77.57,166.38265 -77.57,166.31 -77.57,166.31 -77.56503,166.31 -77.56006,166.31 -77.55509,166.31 -77.55012,166.31 -77.54515,166.31 -77.54018,166.31 -77.53521,166.31 -77.53024,166.31 -77.52527,166.31 -77.5203))"], "date_created": "Tue, 12 Dec 2017 00:00:00 GMT", "description": "In this project we made fundamental measurements of cloud optical and microphysical properties at Ross Island, Antarctica, using a versatile shortwave spectroradiometer (Panalytical, Inc.) acquired for atmospheric field research by the Scripps Institution of Oceanography (SIO). This instrument measures downwelling spectral irradiance at the Earth surface in the wavelength interval 350-2200 nm. From this data set one can retrieve properties of coastal Antarctic stratiform clouds including optical depth, thermodynamic phase, liquid water droplet effective radius, and ice cloud effective particle size. The instrument was installed at Arrival Heights, and measurements were made from 10 October 2012 to 4 February 2013. Spectral data recorded in one-minute averages, with some gaps for instrument maintenance and data backup, and some occasional down time when the site was inaccessible. Active satellite remote sensing data (CloudSat and CALIPSO) were used for validation and interpretation of the spectroradiometer retrievals (Scott and Lubin 2014).\r\n\t\r\n\t\u003cbr\u003e\u003cbr\u003eThere are two reasons why this measurement program remains timely. One straightforward reason involves the location of McMurdo Station, which is the US Antarctic Programs air transport entry point to the continent. Improvements in our knowledge of atmospheric physics in this region can eventually lead to improvements in numerical weather forecasting relevant to aviation. A second reason involves the recent advances in cloud microphysics for global climate model simulation. Mixed-phase cloud parameterizations have become very sophisticated, requiring validation with each new improvement. Traditional observational test cases - from the Arctic or mid-latitude storm systems - are often quite complex. A coastal Antarctic site at very high latitudes can provide more straightforward cases for testing current microphysical parameterizations. Over Ross Island aerosol and cloud nucleation sources are essentially all natural and oceanic, and cloud geometry is simple, while at the same time there is abundant supercooled cloud liquid water.\r\n\t\r\n\t\u003cbr\u003e\u003cbr\u003eAncillary meteorological data from the McMurdo Weather Office are also included here for help in interpreting the spectroradiometer data, including rawinsonde profiles, surface weather observations from the active ice runway, and automated FMQ19 surface weather measurements from Williams Field and Pegasus runway. For interpretation of clear sky or nearly cloud-free irradiance spectra (i.e., when a large fraction of the irradiance is directional from the Sun and not diffused by clouds), we recommend consulting Meywerk and Ramanathan (1999) for information about the Panalytical instruments cosine response.", "east": 167.0365, "geometry": ["POINT(166.67325 -77.54515)"], "keywords": "Antarctica; Atmosphere; Meteorology; Radiosounding; Ross Island", "locations": "Ross Island; Antarctica", "north": -77.5203, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "persons": "Lubin, Dan", "project_titles": "Antarctic Cloud Physics: Fundamental Observations from Ross Island", "projects": [{"proj_uid": "p0000327", "repository": "USAP-DC", "title": "Antarctic Cloud Physics: Fundamental Observations from Ross Island"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.57, "title": "Shortwave Spectroradiometer Data from Ross Island, Antarctica", "uid": "601074", "west": 166.31}, {"awards": "1043554 Willenbring, Jane", "bounds_geometry": ["POINT(161.5 -77.5)"], "date_created": "Wed, 09 Nov 2016 00:00:00 GMT", "description": "The PIs propose to address the question of whether ice surface melting zones developed at high elevations during warm climatic phases in the Transantarctic Mountains. Evidence from sediment cores drilled by the ANDRILL program indicates that open water in the Ross Sea could have been a source of warmth during Pliocene and Pleistocene. The question is whether marine warmth penetrated inland to the ice sheet margins. The glacial record may be ill suited to answer this question, as cold-based glaciers may respond too slowly to register brief warmth. Questions also surround possible orbital controls on regional climate and ice sheet margins. Northern Hemisphere insolation at obliquity and precession timescales is thought to control Antarctic climate through oceanic or atmospheric connections, but new thinking suggests that the duration of Southern Hemisphere summer may be more important. The PIs propose to use high elevation alluvial deposits in the Transantarctic Mountains as a proxy for inland warmth. These relatively young fans, channels, and debris flow levees stand out as visible evidence for the presence of melt water in an otherwise ancient, frozen landscape. Based on initial analyses of an alluvial fan in the Olympus Range, these deposits are sensitive recorders of rare melt events that occur at orbital timescales. For their study they will 1) map alluvial deposits using aerial photography, satellite imagery and GPS assisted field surveys to establish water sources and to quantify parameters effecting melt water production, 2) date stratigraphic sequences within these deposits using OSL, cosmogenic nuclide, and interbedded volcanic ash chronologies, 3) use paired nuclide analyses to estimate exposure and burial times, and rates of deposition and erosion, and 4) use micro and regional scale climate modeling to estimate paleoenvironmental conditions associated with melt events.\nThis study will produce a record of inland melting from sites adjacent to ice sheet margins to help determine controls on regional climate along margins of the East Antarctic Ice Sheet to aid ice sheet and sea level modeling studies. The proposal will support several graduate and undergraduates. A PhD student will be supported on existing funding. The PIs will work with multiple K-12 schools to conduct interviews and webcasts from Antarctica and they will make follow up visits to classrooms after the field season is complete.", "east": 161.5, "geometry": ["POINT(161.5 -77.5)"], "keywords": "Antarctica; Chemistry:rock; Chemistry:Rock; Cosmogenic Radionuclides; Geochronology; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Isotope; Sample/collection Description; Sample/Collection Description; Transantarctic Mountains", "locations": "Transantarctic Mountains; Antarctica", "north": -77.5, "nsf_funding_programs": null, "persons": "Willenbring, Jane", "project_titles": "Collaborative Research: Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins", "projects": [{"proj_uid": "p0000429", "repository": "USAP-DC", "title": "Collaborative Research: Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.5, "title": "Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins", "uid": "600379", "west": 161.5}, {"awards": "0839059 Powell, Ross", "bounds_geometry": ["POLYGON((-168.7 -82.3,-168.69 -82.3,-168.68 -82.3,-168.67 -82.3,-168.66 -82.3,-168.65 -82.3,-168.64 -82.3,-168.63 -82.3,-168.62 -82.3,-168.61 -82.3,-168.6 -82.3,-168.6 -82.31,-168.6 -82.32,-168.6 -82.33,-168.6 -82.34,-168.6 -82.35,-168.6 -82.36,-168.6 -82.37,-168.6 -82.38,-168.6 -82.39,-168.6 -82.4,-168.61 -82.4,-168.62 -82.4,-168.63 -82.4,-168.64 -82.4,-168.65 -82.4,-168.66 -82.4,-168.67 -82.4,-168.68 -82.4,-168.69 -82.4,-168.7 -82.4,-168.7 -82.39,-168.7 -82.38,-168.7 -82.37,-168.7 -82.36,-168.7 -82.35,-168.7 -82.34,-168.7 -82.33,-168.7 -82.32,-168.7 -82.31,-168.7 -82.3))"], "date_created": "Fri, 01 Jan 2016 00:00:00 GMT", "description": "The LISSARD project (Lake and Ice Stream Subglacial Access Research Drilling) is one of three research components of the WISSARD integrative initiative (Whillans Ice Stream Subglacial Access Research Drilling) that is being funded by the Antarctic Integrated System Science Program of NSF\u0027s Office of Polar Programs, Antarctic Division. The overarching scientific objective of WISSARD is to assess the role of water beneath a West Antarctic ice stream in interlinked glaciological, geological, microbiological, geochemical, and oceanographic systems. The LISSARD component of WISSARD focuses on the role of active subglacial lakes in determining how fast the West Antarctic ice sheet loses mass to the global ocean and influences global sea level changes. The importance of Antarctic subglacial lakes has only been recently recognized, and the lakes have been identified as high priority targets for scientific investigations because of their unknown contributions to ice sheet stability under future global warming scenarios. LISSARD has several primary science goals: A) To provide an observational basis for improving treatments of subglacial hydrological and mechanical processes in models of ice sheet mass balance and stability; B) To reconstruct the past history of ice stream stability by analyzing archives of past basal water and ice flow variability contained in subglacial sediments, porewater, lake water, and basal accreted ice; C) To provide background understanding of subglacial lake environments to benefit RAGES and GBASE (the other two components of the WISSARD project); and D) To synthesize data and concepts developed as part of this project to determine whether subglacial lakes play an important role in (de)stabilizing Antarctic ice sheets. We propose an unprecedented synthesis of approaches to studying ice sheet processes, including: (1) satellite remote sensing, (2) surface geophysics, (3) borehole observations and measurements and, (4) basal and subglacial sampling.\nThe latest report of the Intergovernmental Panel on Climate Change recognized that the greatest uncertainties in assessing future global sea-level change stem from a poor understanding of ice sheet dynamics and ice sheet vulnerability to oceanic and atmospheric warming. Disintegration of the WAIS (West Antarctic Ice Sheet) alone would contribute 3-5 m to global sea-level rise, making WAIS a focus of scientific concern due to its potential susceptibility to internal or ocean-driven instability. The overall WISSARD project will test the overarching hypothesis that active water drainage connects various subglacial environments and exerts major control on ice sheet flow, geochemistry, metabolic and phylogenetic diversity, and biogeochemical transformations.\nSocietal Relevance: Global warming, melting of ice sheets and consequential sea-level rise are of high societal relevance. Science Resource Development: After a 9-year hiatus WISSARD will provide the US-science community with a renewed capability to access and study sub-ice sheet environments. Developing this technological infrastructure will benefit the broader science community and assets will be accessible for future use through the NSF-OPP drilling contractor. Furthermore, these projects will pioneer an approach implementing recommendations from the National Research Council committee on Principles of Environmental Stewardship for the Exploration and Study of Subglacial Environments (2007). Education and Outreach (E/O): These activities are grouped into four categories: i) increasing student participation in polar research by fully integrating them in our research programs; ii) introducing new investigators to the polar sciences by incorporating promising young investigators in our programs, iii) promotion of K-12 teaching and learning programs by incorporating various teachers and NSTA programs, and iv) reaching a larger public audience through such venues as popular science magazines, museum based activities and videography and documentary films. In summary, WISSARD will promote scientific exploration of Antarctica by conveying to the public the excitement of accessing and studying what may be some of the last unexplored aquatic environments on Earth, and which represent a potential analogue for extraterrestrial life habitats on Europa and Mars.", "east": -168.6, "geometry": ["POINT(-168.65 -82.35)"], "keywords": "Antarctica; Biota; Diatom; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Core Records; Lake Whillans; Paleoclimate; Ross Sea; Southern Ocean; Subglacial Lake; WISSARD", "locations": "Lake Whillans; Southern Ocean; Antarctica; Ross Sea", "north": -82.3, "nsf_funding_programs": null, "persons": "Powell, Ross", "project_titles": "Collaborative Research: Integrative Study of Marine Ice Sheet Stability \u0026 Subglacial Life Habitats in W Antarctica - Lake \u0026 Ice Stream Subglacial Access Research Drilling (LISSARD)", "projects": [{"proj_uid": "p0000105", "repository": "USAP-DC", "title": "Collaborative Research: Integrative Study of Marine Ice Sheet Stability \u0026 Subglacial Life Habitats in W Antarctica - Lake \u0026 Ice Stream Subglacial Access Research Drilling (LISSARD)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -82.4, "title": "Integrative Study of Marine Ice Sheet Stability and Subglacial Life Habitats in W Antarctica - Lake and Ice Stream Subglacial Access Research Drilling (LISSARD)", "uid": "600154", "west": -168.7}, {"awards": "0632399 Jefferies, Stuart", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Fri, 01 Jan 2016 00:00:00 GMT", "description": "The ultimate goal of this project is to determine the structure and dynamics of the Sun\u0027s atmosphere, assess the role of MHD waves in heating the chromosphere/corona and driving the solar wind, and better understand how the Sun\u0027s atmosphere couples to the solar interior. As the solar atmosphere is \u0027home\u0027 to many of the solar phenomena that can have a direct impact on the biosphere, including flares, coronal mass ejections, and the solar wind, the broader impact of such studies is that they will lead to an improved understanding of the Sun-Earth connection. \nUnder the current award we have developed a suite of instruments that can simultaneously image the line-of-sight Doppler velocity and longitudinal magnetic field at four heights in the solar atmosphere at high temporal cadence. The instruments use magneto-optical filters (see Cacciani, Moretti and Rodgers, Solar Physics 174, p.115, 2004) tuned to the solar absorption lines at 422 nm (Ca I), 589 nm (Na D2), 770 nm (K) and 1083 nm (He). These lines sample the solar atmosphere from the mid-photosphere to the high-chromosphere. \nA proof-of-concept run was made in the Austral summer of 2007/2008 using the Na and K versions of the instruments. Here we recorded over 40 hours of full-disk, intensity images of the Sun in the red and blue wings of the Na and K Fraunhofer lines, in both right- and left-circularly polarized light. The images were obtained at a rate of one every five seconds with a nominal spatial resolution of 4 arc-seconds. The run started at 09:44 UT on February 2, 2008 and ended at 03:30 UT on February 4, 2008.\nData Quality Assessment:\nThe temperature controls of the instrument housings were unable to fully compensate for the harse Antartic winds encountered during the observing run. This led to large (~15 C) temperature swings which adversely affected the instruments (and thus data quality) in two ways: 1) Crystals of Na and K were deposited on the magneto-optical filter windows leading to \"hot spots\" in the images. These \"hot spots\" come and go with time as the temperature changes. 2) The changing temperature caused the optical rails to contract and expand causing the final images to go in- and out-of-focus, thus reducing the resolution to greater than 4 arc-seconds. Both these effect are worse in the K data.\nDespite these problems, the intensity images can be combined to provide magnetic images that show a very high sensitivity (\u003c 5 Gauss in a 5 second integration).\nData Description:\nThe raw data are stored as a series of 1024x1024x4 FITS images. The format is: blue image (left circulary polarized light), blue image (right circularly polarized light), red image (left circulary polarized light), red image (right circularly polarized light).\nThe naming convention for the images is: Type_Instrument_Day_hour_minutes_seconds\nwhere Type is I (intensity), F (flatfield), D (dark)\n Instrument is 0 (Na), 1 (K)\n Day is the day number from the beginning of the year where January 1 is day 0\nFor example, I_0_32_12_34_40.fits is an intensity image taken with the Na instrument at 12:34.40 UT on February 2, 2008.\nNotes: \n1) The flatfield images were acquired by moving a diffuser in front of the Sun during the integration. The resulting images therefore have to be corrected for residual low-spatial frequencies due to the non-flat nature of the light source.\n2) Each FITS file header contains a variety of information on the observation, e.g.,\nF_CNTO\t: number of summed frames in each 5 second integration (*)\nFPS\t\t: Camera frame rate (Frames Per Second)\nFLIP\t: Rate at which the half-wave rotator (magnetic switch) was switched\nINT_PER\t: Integration time (in seconds)\nMOF\t\t: Temperature of magneto-optical filter cell\nWS\t\t: Temperature of wing selector cell\nTEMP_0\t: Temperature of camera 0\nTEMP_1\t: Temperature of camera 1\nTEMP_2\t: Temperature inside instrument (location 1)\nTEMP_3\t: Temperature of narrowband filter\nTEMP_5\t: Temperature of magnets surrounding MOF cell\nTEMP_6\t: Temperature inside instrument (location 2)\nTEMP_7\t: Temperature of housing for magnetic switch\n(*) This is the frame count for the camera. The number of frames in each image for the two different polarization states, is half this number.\nThe measured temperatures are only coarse measurements.\n3) Due to reflection in the final polarizing beam splitter (which separates the \"red\" and \"blue\" signals into the two cameras), the camera 1 data need to \"reversed\" along the x-axis (i.e. listed as [1024:1] instead of [1:1024])\n4) Line-of-sight velocity and magnetic field images are generated from the observed intensity images. Doppler images as (red-blue)/(red+blue), magnetic images as the difference between the Doppler images\nfor right- and left-circularly polarized light.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Cosmos; Satellite Remote Sensing; Sun", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": null, "persons": "Jefferies, Stuart M.", "project_titles": "Tomographic Imaging of the Velocity and Magnetic Fields in the Sun\u0027s Atmosphere", "projects": [{"proj_uid": "p0000526", "repository": "USAP-DC", "title": "Tomographic Imaging of the Velocity and Magnetic Fields in the Sun\u0027s Atmosphere"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Tomographic Imaging of the Velocity and Magnetic Fields in the Sun\u0027s Atmosphere", "uid": "600152", "west": -180.0}, {"awards": "1250208 Friedlaender, Ari", "bounds_geometry": ["POLYGON((-80 -63,-78 -63,-76 -63,-74 -63,-72 -63,-70 -63,-68 -63,-66 -63,-64 -63,-62 -63,-60 -63,-60 -63.7,-60 -64.4,-60 -65.1,-60 -65.8,-60 -66.5,-60 -67.2,-60 -67.9,-60 -68.6,-60 -69.3,-60 -70,-62 -70,-64 -70,-66 -70,-68 -70,-70 -70,-72 -70,-74 -70,-76 -70,-78 -70,-80 -70,-80 -69.3,-80 -68.6,-80 -67.9,-80 -67.2,-80 -66.5,-80 -65.8,-80 -65.1,-80 -64.4,-80 -63.7,-80 -63))"], "date_created": "Fri, 01 Jan 2016 00:00:00 GMT", "description": "Whales play a central role in the ecology and biogeochemistry of the Southern Ocean. However, little is known regarding their distribution and behavior, in part because of challenges associated with studying these organisms from large research vessels. This research will take advantage of the unique opportunity presented by the 2012-2013 test run of the smaller, more mobile R/V Point Sur. This work will use the Point Sur to investigate humpback whales in the waters studied by the Palmer Long Term Ecological Research (LTER) Station off the Western Antarctic Peninsula (WAP). Employing a combination of long-term satellite-linked tags and short-term suction cup tags, researchers will investigate the distribution, abundance and foraging behaviors of whales in this region. Whale biogeography will then be related to quantitative surveys of krill, their primary food source. Hypotheses regarding whale distribution and foraging strategies as well as physical oceanographic features will be tested. The WAP is undergoing some of the most dramatic warming on the planet, and a better understanding of the ecology of top predators is central to developing an understanding of the impacts of this change. Results will be widely disseminated through publications as well as through presentations at national and international meetings. In addition, raw data will be made available through open-access databases. Finally, this work will be coordinated with the extensive infrastructure of the Palmer LTER site, enabling outreach and educational activities.\n", "east": -60.0, "geometry": ["POINT(-70 -66.5)"], "keywords": "Antarctica; Antarctic Peninsula; Biota; Oceans; Sample/collection Description; Sample/Collection Description; Southern Ocean; Whales", "locations": "Southern Ocean; Antarctica; Antarctic Peninsula", "north": -63.0, "nsf_funding_programs": null, "persons": "Friedlaender, Ari; Johnston, David; Nowacek, Douglas", "project_titles": "RAPID: Linking the Movement Patterns and Foraging Behavior of Humpback Whales to their Prey across Multiple Spatial Scales within the LTER Study Region", "projects": [{"proj_uid": "p0000666", "repository": "USAP-DC", "title": "RAPID: Linking the Movement Patterns and Foraging Behavior of Humpback Whales to their Prey across Multiple Spatial Scales within the LTER Study Region"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -70.0, "title": "Linking the Movement Patterns and Foraging Behavior of Humpback Whales to their Prey across Multiple Spatial Scales within the LTER Study Region", "uid": "600151", "west": -80.0}, {"awards": "1043580 Reusch, David", "bounds_geometry": ["POLYGON((-180 -47,-144 -47,-108 -47,-72 -47,-36 -47,0 -47,36 -47,72 -47,108 -47,144 -47,180 -47,180 -51.3,180 -55.6,180 -59.9,180 -64.2,180 -68.5,180 -72.8,180 -77.1,180 -81.4,180 -85.7,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.7,-180 -81.4,-180 -77.1,-180 -72.8,-180 -68.5,-180 -64.2,-180 -59.9,-180 -55.6,-180 -51.3,-180 -47))"], "date_created": "Fri, 01 Jan 2016 00:00:00 GMT", "description": "The presence of ice ponds from surface melting of glacial ice can be a significant threshold in assessing the stability of ice sheets, and their overall response to a warming climate. Snow melt has a much reduced albedo, leading to additional seasonal melting from warming insolation. Water run-off not only contributes to the mass loss of ice sheets directly, but meltwater reaching the glacial ice bed may lubricate faster flow of ice sheets towards the ocean. Surficial meltwater may also reach the grounding lines of glacial ice through the wedging open of existing crevasses. The occurrence and amount of meltwater refreeze has even been suggested as a paleo proxy of near-surface atmospheric temperature regimes.\nUsing contemporary remote sensing (microwave) satellite assessment of surface melt occurrence and extent, the predictive skill of regional meteorological models and reanalyses (e.g. WRF, ERA-Interim) to describe the synoptic conditions favourable to surficial melt is to be investigated. Statistical approaches and pattern recognition techniques are argued to provide a context for projecting future ice sheet change.\nThe previous Intergovernmental Panel on Climate Change (IPCC AR4) commented on our lack of understanding of ice-sheet mass balance processes in polar regions and the potential for sea-level change. The IPPC suggested that the forthcoming AR5 efforts highlight regional cryosphere modeling efforts, such as is proposed here.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Atmosphere; Climate Model; Meteorology; Surface Melt", "locations": "Antarctica", "north": -47.0, "nsf_funding_programs": null, "persons": "Reusch, David", "project_titles": "Collaborative Research: Decoding \u0026 Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs", "projects": [{"proj_uid": "p0000447", "repository": "USAP-DC", "title": "Collaborative Research: Decoding \u0026 Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Decoding \u0026 Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs", "uid": "600166", "west": -180.0}, {"awards": "1141973 Tedesco, Marco", "bounds_geometry": ["POLYGON((-94.7374 -56.9464,-89.23679 -56.9464,-83.73618 -56.9464,-78.23557 -56.9464,-72.73496 -56.9464,-67.23435 -56.9464,-61.73374 -56.9464,-56.23313 -56.9464,-50.73252 -56.9464,-45.23191 -56.9464,-39.7313 -56.9464,-39.7313 -59.19838,-39.7313 -61.45036,-39.7313 -63.70234,-39.7313 -65.95432,-39.7313 -68.2063,-39.7313 -70.45828,-39.7313 -72.71026,-39.7313 -74.96224,-39.7313 -77.21422,-39.7313 -79.4662,-45.23191 -79.4662,-50.73252 -79.4662,-56.23313 -79.4662,-61.73374 -79.4662,-67.23435 -79.4662,-72.73496 -79.4662,-78.23557 -79.4662,-83.73618 -79.4662,-89.23679 -79.4662,-94.7374 -79.4662,-94.7374 -77.21422,-94.7374 -74.96224,-94.7374 -72.71026,-94.7374 -70.45828,-94.7374 -68.2063,-94.7374 -65.95432,-94.7374 -63.70234,-94.7374 -61.45036,-94.7374 -59.19838,-94.7374 -56.9464))"], "date_created": "Fri, 01 Jan 2016 00:00:00 GMT", "description": "This award supports a project to generate first-time validated enhanced spatial resolution (5-10 km) maps of surface melting over the Antarctic Peninsula for the period 1958 - to date from the outputs of a regional climate model and different downscaling techniques. These maps will be assessed and validated through new high spatial resolution (2.25 km) surface melting maps obtained from the QuikSCAT satellite for the period 1999 - 2009. The intellectual merit of this work is that it would be the first time that the outputs of a regional climate model would be used to study surface melting over Antarctica at such high spatial resolution and the first time that such results are validated by means of an observational tool that has such a large spatial coverage and high spatial resolution. The results generated in this study would also provide a first-time opportunity to study the melt distribution over the Peninsula and its correlation with climate drivers, such as the Southern Annual Mode (SAM) and the El Nino-Southern Oscillation (ENSO) at these unprecedented spatial scales. The enhanced resolution melting maps will also offer a unique opportunity to study melting trends and patterns over specific regions of the Peninsula, such as the Wilkins and the Larsen A and B ice shelves and evaluate whether the extreme melting observed during the recent collapses was unprecedented over the + 50 years. The broader impacts of the project are that it will integrate research and education by fully supporting one female undergrad student, a PhD student and partially supporting a PostDoc. The work will be done at a minority-serving institution and the PhD student who worked on the development of the high-resolution melting data set from QuikSCAT will become the PostDoc who will work on this project. Teaching and learning will be supported by incorporating research results into graduate and undergrad level courses and will be disseminated over the web and through appropriate channels. Results from this project will also benefit the society at large as they will improve our understanding of the links between atmospheric patterns and surface melting and they will contribute to improving estimates of sea level rise from the Antarctica continent.", "east": -39.7313, "geometry": ["POINT(-67.23435 -68.2063)"], "keywords": "Antarctica; Atmosphere; Climate; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Meteorology; Model", "locations": "Antarctica", "north": -56.9464, "nsf_funding_programs": null, "persons": "Tedesco, Marco", "project_titles": "Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations", "projects": [{"proj_uid": "p0000313", "repository": "USAP-DC", "title": "Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -79.4662, "title": "Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations", "uid": "600160", "west": -94.7374}, {"awards": "1043750 Chen, Jianli", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Fri, 01 Jan 2016 00:00:00 GMT", "description": "This award supports a project to improve the estimate of long-term and inter-annual variability of Antarctic ice sheet mass balance at continental, regional, and catchment scales, using satellite gravity measurements from the Gravity Recovery and Climate Experiment (GRACE) and other geodetic measurements. The work will improve the quantification of long-term mass change rates over Antarctica using GRACE gravity data with a longer record and newer generation(s) of products and will develop advanced numerical forward modeling techniques that can accurately correct leakage effects associated with GRACE data processing, and significantly improve spatial resolution of GRACE mass rate estimates over Antarctica. The work will also contribute to a better understanding of crustal uplift rates due to postglacial rebound (PGR) and present day ice load change over Antarctica via PGR models, GPS measurements, and combined analysis of GRACE and ICESat elevation changes. Inter-annual variations of ice mass over Antarctica will be investigated at continental and catchment scales and connections to regional climate change will be studied. The major deliverables from this study will be improved assessments of ice mass balance for the entire Antarctic ice sheet and potential contribution to global mean sea level rise. The work will also provide estimates of regional ice mass change rates over Antarctica, with a focus along the coast in the Amundsen Sea Embayment, the Peninsula in West Antarctica, and in Wilkes Land and Victoria Land in East Antarctica. Estimates of inter-annual ice mass change over Antarctica at various spatial scales, and assessments of uncertainty of GRACE ice rate estimates and PGR models errors over Antarctica will also be made. The intellectual merits of the proposed investigation include 1) providing improved assessments of Antarctic ice mass balance at different temporal and spatial scales with unprecedented accuracy, an important contribution to broad areas of polar science research; 2) combining high accuracy GPS vertical uplift measurements and PGR models to better quantify long-term crust uplift effects that are not distinguishable from ice mass changes by GRACE; and 3) unifying the work of several investigations at the forefront of quantifying ice sheet and glacier mass balance and crustal uplift based on a variety of modern space geodetic observations. The broader impacts include the fact that the project will actively involve student participation and training, through the support of two graduate students. In addition the project will contribute to general education and public outreach (E/PO) activities and the results from this investigation will help inspire future geoscientists and promote public awareness of significant manifestations of climate change.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; GPS; GRACE; Potential Field; Satellite Data", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": null, "persons": "Chen, Jianli", "project_titles": "Collaborative Research: Long-Term and Interannual Variability of Antarctic Ice Sheet Mass Balance From Satellite Gravimetry and Other Geodetic Measurements", "projects": [{"proj_uid": "p0000415", "repository": "USAP-DC", "title": "Collaborative Research: Long-Term and Interannual Variability of Antarctic Ice Sheet Mass Balance From Satellite Gravimetry and Other Geodetic Measurements"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Long-Term and Interannual Variability of Antarctic Ice Sheet Mass Balance From Satellite Gravimetry and Other Geodetic Measurements", "uid": "600159", "west": -180.0}, {"awards": "0944653 Forster, Richard", "bounds_geometry": ["POLYGON((-119.4 -78.1,-118.46 -78.1,-117.52 -78.1,-116.58 -78.1,-115.64 -78.1,-114.7 -78.1,-113.76 -78.1,-112.82 -78.1,-111.88 -78.1,-110.94 -78.1,-110 -78.1,-110 -78.29,-110 -78.48,-110 -78.67,-110 -78.86,-110 -79.05,-110 -79.24,-110 -79.43,-110 -79.62,-110 -79.81,-110 -80,-110.94 -80,-111.88 -80,-112.82 -80,-113.76 -80,-114.7 -80,-115.64 -80,-116.58 -80,-117.52 -80,-118.46 -80,-119.4 -80,-119.4 -79.81,-119.4 -79.62,-119.4 -79.43,-119.4 -79.24,-119.4 -79.05,-119.4 -78.86,-119.4 -78.67,-119.4 -78.48,-119.4 -78.29,-119.4 -78.1))"], "date_created": "Thu, 01 Jan 2015 00:00:00 GMT", "description": "This award supports a project to broaden the knowledge of annual accumulation patterns over the West Antarctic Ice Sheet by processing existing near-surface radar data taken on the US ITASE traverse in 2000 and by gathering and validating new ultra/super-high-frequency (UHF) radar images of near surface layers (to depths of ~15 m), expanding abilities to monitor recent annual accumulation patterns from point source ice cores to radar lines. Shallow (15 m) ice cores will be collected in conjunction with UHF radar images to confirm that radar echoed returns correspond with annual layers, and/or sub-annual density changes in the near-surface snow, as determined from ice core stable isotopes. This project will additionally improve accumulation monitoring from space-borne instruments by comparing the spatial-radar-derived-annual accumulation time series to the passive microwave time series dating back over 3 decades and covering most of Antarctica. The intellectual merit of this project is that mapping the spatial and temporal variations in accumulation rates over the Antarctic ice sheet is essential for understanding ice sheet responses to climate forcing. Antarctic precipitation rate is projected to increase up to 20% in the coming century from the predicted warming. Accumulation is a key component for determining ice sheet mass balance and, hence, sea level rise, yet our ability to measure annual accumulation variability over the past 5 decades (satellite era) is mostly limited to point-source ice cores. Developing a radar and ice core derived annual accumulation dataset will provide validation data for space-born remote sensing algorithms, climate models and, additionally, establish accumulation trends. The broader impacts of the project are that it will advance discovery and understanding within the climatology, glaciology and remote sensing communities by verifying the use of UHF radars to monitor annual layers as determined by visual, chemical and isotopic analysis from corresponding shallow ice cores and will provide a dataset of annual to near-annual accumulation measurements over the past ~5 decades across WAIS divide from existing radar data and proposed radar data. By determining if temporal changes in the passive microwave signal are correlated with temporal changes in accumulation will help assess the utility of passive microwave remote sensing to monitor accumulation rates over ice sheets for future decades. The project will promote teaching, training and learning, and increase representation of underrepresented groups by becoming involved in the NASA History of Winter project and Thermochron Mission and by providing K-12 teachers with training to monitor snow accumulation and temperature here in the US, linking polar research to the student\u0027s backyard. The project will train both undergraduate and graduate students in polar research and will encouraging young investigators to become involved in careers in science. In particular, two REU students will participate in original research projects as part of this larger project, from development of a hypothesis to presentation and publication of the results. The support of a new, young woman scientist will help to increase gender diversity in polar research.\n", "east": -110.0, "geometry": ["POINT(-114.7 -79.05)"], "keywords": "Airborne Radar; Antarctica; Geology/Geophysics - Other; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Radar; WAIS Divide; WAIS Divide Ice Core", "locations": "Antarctica; WAIS Divide", "north": -78.1, "nsf_funding_programs": null, "persons": "Forster, Richard", "project_titles": "Collaborative Research: Annual satellite era accumulation patterns over WAIS Divide: A study using shallow ice cores, near-surface radars and satellites", "projects": [{"proj_uid": "p0000079", "repository": "USAP-DC", "title": "Collaborative Research: Annual satellite era accumulation patterns over WAIS Divide: A study using shallow ice cores, near-surface radars and satellites"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "WAIS Divide Ice Core", "south": -80.0, "title": "Annual Satellite Era Accumulation Patterns Over WAIS Divide: A Study Using Shallow Ice Cores, Near-Surface Radars and Satellites", "uid": "600146", "west": -119.4}, {"awards": "1043454 Kooyman, Gerald", "bounds_geometry": ["POLYGON((-172.642 -72.55,-170.9074 -72.55,-169.1728 -72.55,-167.4382 -72.55,-165.7036 -72.55,-163.969 -72.55,-162.2344 -72.55,-160.4998 -72.55,-158.7652 -72.55,-157.0306 -72.55,-155.296 -72.55,-155.296 -73.0743,-155.296 -73.5986,-155.296 -74.1229,-155.296 -74.6472,-155.296 -75.1715,-155.296 -75.6958,-155.296 -76.2201,-155.296 -76.7444,-155.296 -77.2687,-155.296 -77.793,-157.0306 -77.793,-158.7652 -77.793,-160.4998 -77.793,-162.2344 -77.793,-163.969 -77.793,-165.7036 -77.793,-167.4382 -77.793,-169.1728 -77.793,-170.9074 -77.793,-172.642 -77.793,-172.642 -77.2687,-172.642 -76.7444,-172.642 -76.2201,-172.642 -75.6958,-172.642 -75.1715,-172.642 -74.6472,-172.642 -74.1229,-172.642 -73.5986,-172.642 -73.0743,-172.642 -72.55))"], "date_created": "Thu, 01 Jan 2015 00:00:00 GMT", "description": "The emperor penguin dives deeper and longer, fasts longer, and endures the harshest weather conditions of all diving birds. It spends about four and half months per annum deep in Antarctic pack ice away from shore and stations, and thus is largely unavailable for study. This time includes preparation for the molt, and travel to the colony to breed, a time period in which great swings in body weight occur. This study will fill an important gap in what we know about the biology of the annual cycle of the emperor by examining the molt-post molt period. The P.I. proposes to traverse the Amundsen and Bellingshausen seas on the Oden, to locate and tag emperor penguins during the molt season. The objectives are to (1) Place satellite tags on 20 adult post molt birds to determine their route, rate of travel, and diving behavior as they return back to their breeding colonies, (2) Obtain an index of body condition, (3) Collect guano to determine the type of food consumed by emperor penguins in the region, (4) Conduct shipboard surveys to sight and plot the location and abundance of adult and juvenile birds on the ship\u0027s track. The PI hypothesizes that bird dives will be shallow during the initial post-molt phase, and that food will consist primarily of krill; that there will be differential dispersal of birds from the Ross Sea vs. Marie Byrd Land, with Ross Sea birds traveling farther; and that the greatest adult mortality occurs during the molt and early post molt period. Broader impacts include training of a post doc, a graduate student, and an aquarium volunteer. The P.I. also will present findings through a website, through public lectures, and in collaboration with the Birch aquarium.\n", "east": -155.296, "geometry": ["POINT(-163.969 -75.1715)"], "keywords": "Amundsen Sea; Biota; Oceans; Penguin; Sample/collection Description; Sample/Collection Description; Southern Ocean", "locations": "Southern Ocean; Amundsen Sea", "north": -72.55, "nsf_funding_programs": null, "persons": "Kooyman, Gerald", "project_titles": "Pre and post molt biology of emperor penguins - Oden trans - Ross / Amundsen Sea cruise", "projects": [{"proj_uid": "p0000325", "repository": "USAP-DC", "title": "Pre and post molt biology of emperor penguins - Oden trans - Ross / Amundsen Sea cruise"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.793, "title": "Pre and Post Molt Biology of Emperor Penguins - Oden Trans - Ross / Amundsen Sea Cruise", "uid": "600149", "west": -172.642}, {"awards": "XXXXXXX Palais, Julie", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Thu, 17 Jul 2014 00:00:00 GMT", "description": "The MODIS Mosaic of Antarctica 2008-2009 (MOA2009) Image Map consists of two cloud-free digital image maps that show mean surface morphology and a quantitative measure of optical snow grain size on the Antarctic continent and surrounding islands using 260 orbit swaths from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the NASA EOS Aqua and Terra satellites.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; MODIS; Satellite Remote Sensing", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Haran, Terry; Bohlander, Jennifer; Scambos, Ted; Painter, Thomas; Fahnestock, Mark", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -90.0, "title": "MODIS Mosaic of Antarctica 2008-2009 (MOA2009) Image Map", "uid": "609593", "west": -180.0}, {"awards": "0838937 Costa, Daniel", "bounds_geometry": ["POLYGON((162 -75,162.7 -75,163.4 -75,164.1 -75,164.8 -75,165.5 -75,166.2 -75,166.9 -75,167.6 -75,168.3 -75,169 -75,169 -75.3,169 -75.6,169 -75.9,169 -76.2,169 -76.5,169 -76.8,169 -77.1,169 -77.4,169 -77.7,169 -78,168.3 -78,167.6 -78,166.9 -78,166.2 -78,165.5 -78,164.8 -78,164.1 -78,163.4 -78,162.7 -78,162 -78,162 -77.7,162 -77.4,162 -77.1,162 -76.8,162 -76.5,162 -76.2,162 -75.9,162 -75.6,162 -75.3,162 -75))"], "date_created": "Wed, 01 Jan 2014 00:00:00 GMT", "description": "Marine mammals of the Southern Ocean have evolved diverse life history patterns and foraging strategies to accommodate extreme fluctuations in the physical and biological environment. In light of ongoing climate change and the dramatic shifts in the extent and persistence of sea ice in the Ross Sea, it is critical to understand how Weddell seals, Leptonychotes weddellii, a key apex predator, select and utilize foraging habitats. Recent advances in satellite-linked animal-borne conductivity, temperature and depth (CTD) tags make it possible to simultaneously collect data on seal locations, their diving patterns, and the temperature and salinity profiles of the water columns they utilize. In other ecosystems, such data have revealed that marine predators selectively forage in areas where currents and fronts serve to locally concentrate prey resources, and that these conditions are required to sustain populations. Weddell seals will be studied in McMurdo Sound and at Terra Nova Bay, Ross Sea and will provide the first new data on Weddell seal winter diving behavior and habitat use in almost two decades. The relationship between an animal\u0027s diving behavior and physical habitat has enormous potential to enhance monitoring studies and to provide insight into how changes in ice conditions (due either to warming or the impact of large icebergs, such as B15) might impact individual time budgets and foraging success. The second thrust of this project is to use the profiles obtained from CTD seal tags to model the physical oceanography of this region. Current mathematical models of physical oceanographic processes in the Southern Ocean are directed at better understanding the role that it plays in global climate processes, and the linkages between physical and biological oceanographic processes. However, these efforts are limited by the scarcity of oceanographic data at high latitudes in the winter months; CTD tags deployed on animals will collect data at sufficient spatial and temporal resolution to improve data density. The project will contribute to two IPY endorsed initiatives: MEOP (Marine Mammals as Explorers of the Ocean Pole to Pole) and CAML (Census of Antarctic Marine Life). In addition, the highly visual nature of the data and analysis lends itself to public and educational display and outreach, particularly as they relate to global climate change, and we have collaborations with undergraduate and graduate training programs, the Seymour Marine Discovery Center, and the ARMADA program to foster these broader impacts.\n", "east": 169.0, "geometry": ["POINT(165.5 -76.5)"], "keywords": "Antarctica; Biota; Oceans; Ross Sea; Southern Ocean", "locations": "Antarctica; Southern Ocean; Ross Sea", "north": -75.0, "nsf_funding_programs": null, "persons": "Costa, Daniel", "project_titles": "Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea", "projects": [{"proj_uid": "p0000661", "repository": "USAP-DC", "title": "Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea", "uid": "600025", "west": 162.0}, {"awards": "1045215 Gooseff, Michael", "bounds_geometry": ["POLYGON((160 -77.25,160.5 -77.25,161 -77.25,161.5 -77.25,162 -77.25,162.5 -77.25,163 -77.25,163.5 -77.25,164 -77.25,164.5 -77.25,165 -77.25,165 -77.375,165 -77.5,165 -77.625,165 -77.75,165 -77.875,165 -78,165 -78.125,165 -78.25,165 -78.375,165 -78.5,164.5 -78.5,164 -78.5,163.5 -78.5,163 -78.5,162.5 -78.5,162 -78.5,161.5 -78.5,161 -78.5,160.5 -78.5,160 -78.5,160 -78.375,160 -78.25,160 -78.125,160 -78,160 -77.875,160 -77.75,160 -77.625,160 -77.5,160 -77.375,160 -77.25))"], "date_created": "Wed, 01 Jan 2014 00:00:00 GMT", "description": "Intellectual Merit: Until recently, wetted soils in the Dry Valleys were generally only found adjacent to streams and lakes. Since the warm austral summer of 2002, numerous \"wet spots\" have been observed far from shorelines on relatively flat valley floor locations and as downslope fingers of flow on valley walls. The source of the water to wet these soils is unclear, as is the spatial and temporal pattern of occurrence from year to year. Their significance is potentially great as enhanced soil moisture may change the thermodynamics, hydrology, and erosion rate of surface soils, and facilitate transport of materials that had previously been stable. These changes to the soil active layer could significantly modify permafrost and ground ice stability within the Dry Valleys. The PIs seek to investigate these changes to address two competing hypotheses: that the source of water to these ?wet spots? is ground ice melt and that the source of this water is snowmelt. The PIs will document the spatiotemporal dynamics of these wet areas using high frequency remote sensing data from QuickBird and WorldView satellites to document the occurrence, dimensions, and growth of wet spots during the 2010-\u00ad11 and 2011-\u00ad12 austral summers. They will test their hypotheses by determining whether wet spots recur in the same locations in each season, and they will compare present to past distribution using archived imagery. They will also determine whether spatial snow accumulation patterns and temporal ablation patterns are coincident with wet spot formation. Broader impacts: One graduate student will be trained on this project. Findings will be reported at scientific meetings and published in peer reviewed journals. They will also develop a teaching module on remote sensing applications to hydrology for the Modular Curriculum for Hydrologic Advancement and an innovative prototype project designed to leverage public participation in mapping wet spots and snow patches across the Dry Valleys through the use of social media and mobile computing applications.\n", "east": 165.0, "geometry": ["POINT(162.5 -77.875)"], "keywords": "Antarctica; Climate; Critical Zone; Dry Valleys; Radar; Soil Moisture", "locations": "Antarctica; Dry Valleys", "north": -77.25, "nsf_funding_programs": null, "persons": "Gooseff, Michael N.", "project_titles": "EAGER: Are the Dry Valleys Getting Wetter? A Preliminary Assessment of Wetness Across the McMurdo Dry Valleys Landscape", "projects": [{"proj_uid": "p0000471", "repository": "USAP-DC", "title": "EAGER: Are the Dry Valleys Getting Wetter? A Preliminary Assessment of Wetness Across the McMurdo Dry Valleys Landscape"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.5, "title": "Are the Dry Valleys Getting Wetter? A Preliminary Assessment of Wetness Across the McMurdo Dry Valleys Landscape", "uid": "600131", "west": 160.0}, {"awards": "0732804 McPhee, Miles", "bounds_geometry": ["POINT(166.25 -77.42)"], "date_created": "Wed, 01 Jan 2014 00:00:00 GMT", "description": "The Office of Polar Programs, Antarctic Integrated and System Science Program has made this award to support an interdisciplinary study of the effects of the ocean on the stability of glacial ice in the most dynamic region the West Antarctic Ice Sheet, namely the Pine Island Glacier in the Amundsen Sea Embayment. The collaborative project builds on the knowledge gained by the highly successful West Antarctic Ice Sheet program and is being jointly sponsored with NASA. Recent observations indicate a significant ice loss, equivalent to 10% of the ongoing increase in sea-level rise, in this region. These changes are largest along the coast and propagate rapidly inland, indicating the critical impact of the ocean on ice sheet stability in the region. While a broad range of remote sensing and ground-based instrumentation is available to characterize changes of the ice surface and internal structure (deformation, ice motion, melt) and the shape of the underlying sediment and rock bed, instrumentation has yet to be successfully deployed for observing boundary layer processes of the ocean cavity which underlies the floating ice shelf and where rapid melting is apparently occurring. Innovative, mini ocean sensors that can be lowered through boreholes in the ice shelf (about 500 m thick) will be developed and deployed to automatically provide ocean profiling information over at least three years. Their data will be transmitted through a conducting cable frozen in the borehole to the surface where it will be further transmitted via satellite to a laboratory in the US. Geophysical and remote sensing methods (seismic, GPS, altimetry, stereo imaging, radar profiling) will be applied to map the geometry of the ice shelf, the shape of the sub ice-shelf cavity, the ice surface geometry and deformations within the glacial ice. To integrate the seismic, glaciological and oceanographic observations, a new 3-dimensional coupled ice-ocean model is being developed which will be the first of its kind. NASA is supporting satellite based research and the deployment of a robotic-camera system to explore the environment in the ocean cavity underlying the ice shelf and NSF is supporting all other aspects of this study. \n\nBroader impacts: This project is motivated by the potential societal impacts of rapid sea level rise and should result in critically needed improvements in characterizing and predicting the behavior of coupled ocean-ice systems. It is a contribution to the International Polar Year and was endorsed by the International Council for Science as a component of the \u0027Multidisciplinary Study of the Amundsen Sea Embayment\u0027 proposal #258 of the honeycomb of endorsed IPY activities. The research involves substantial international partnerships with the British Antarctic Survey and the University of Bristol in the UK. The investigators will partner with the previously funded \u0027Polar Palooza\u0027 education and outreach program in addition to undertaking a diverse set of outreach activities of their own. Eight graduate students and one undergraduate as well as one post doc will be integrated into this research project.\n", "east": 166.25, "geometry": ["POINT(166.25 -77.42)"], "keywords": "Antarctica; Atmosphere; McMurdo; Meteorology; Oceans; Ross Island; Southern Ocean", "locations": "Ross Island; Antarctica; McMurdo; Southern Ocean", "north": -77.42, "nsf_funding_programs": null, "persons": "McPhee, Miles G.", "project_titles": "Collaborative Research; IPY: Ocean-Ice Interaction in the Amundsen Sea sector of West Antarctica", "projects": [{"proj_uid": "p0000043", "repository": "USAP-DC", "title": "Collaborative Research; IPY: Ocean-Ice Interaction in the Amundsen Sea sector of West Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.42, "title": "Ocean-Ice Interaction in the Amundsen Sea Sector of West Antarctica", "uid": "600072", "west": 166.25}, {"awards": "0838892 Burns, Jennifer", "bounds_geometry": ["POLYGON((162 -75,162.7 -75,163.4 -75,164.1 -75,164.8 -75,165.5 -75,166.2 -75,166.9 -75,167.6 -75,168.3 -75,169 -75,169 -75.3,169 -75.6,169 -75.9,169 -76.2,169 -76.5,169 -76.8,169 -77.1,169 -77.4,169 -77.7,169 -78,168.3 -78,167.6 -78,166.9 -78,166.2 -78,165.5 -78,164.8 -78,164.1 -78,163.4 -78,162.7 -78,162 -78,162 -77.7,162 -77.4,162 -77.1,162 -76.8,162 -76.5,162 -76.2,162 -75.9,162 -75.6,162 -75.3,162 -75))"], "date_created": "Tue, 01 Jan 2013 00:00:00 GMT", "description": "Marine mammals of the Southern Ocean have evolved diverse life history patterns and foraging strategies to accommodate extreme fluctuations in the physical and biological environment. In light of ongoing climate change and the dramatic shifts in the extent and persistence of sea ice in the Ross Sea, it is critical to understand how Weddell seals, Leptonychotes weddellii, a key apex predator, select and utilize foraging habitats. Recent advances in satellite-linked animal-borne conductivity, temperature and depth (CTD) tags make it possible to simultaneously collect data on seal locations, their diving patterns, and the temperature and salinity profiles of the water columns they utilize. In other ecosystems, such data have revealed that marine predators selectively forage in areas where currents and fronts serve to locally concentrate prey resources, and that these conditions are required to sustain populations. Weddell seals will be studied in McMurdo Sound and at Terra Nova Bay, Ross Sea and will provide the first new data on Weddell seal winter diving behavior and habitat use in almost two decades. The relationship between an animal\u0027s diving behavior and physical habitat has enormous potential to enhance monitoring studies and to provide insight into how changes in ice conditions (due either to warming or the impact of large icebergs, such as B15) might impact individual time budgets and foraging success. The second thrust of this project is to use the profiles obtained from CTD seal tags to model the physical oceanography of this region. Current mathematical models of physical oceanographic processes in the Southern Ocean are directed at better understanding the role that it plays in global climate processes, and the linkages between physical and biological oceanographic processes. However, these efforts are limited by the scarcity of oceanographic data at high latitudes in the winter months; CTD tags deployed on animals will collect data at sufficient spatial and temporal resolution to improve data density. The project will contribute to two IPY endorsed initiatives: MEOP (Marine Mammals as Explorers of the Ocean Pole to Pole) and CAML (Census of Antarctic Marine Life). In addition, the highly visual nature of the data and analysis lends itself to public and educational display and outreach, particularly as they relate to global climate change, and we have collaborations with undergraduate and graduate training programs, the Seymour Marine Discovery Center, and the ARMADA program to foster these broader impacts.", "east": 169.0, "geometry": ["POINT(165.5 -76.5)"], "keywords": "Biota; Oceans; Ross Sea; Seals; Southern Ocean", "locations": "Southern Ocean; Ross Sea", "north": -75.0, "nsf_funding_programs": null, "persons": "Burns, Jennifer", "project_titles": "Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea", "projects": [{"proj_uid": "p0000661", "repository": "USAP-DC", "title": "Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea", "uid": "600101", "west": 162.0}, {"awards": "1019838 Wendt, Dean", "bounds_geometry": null, "date_created": "Tue, 01 Jan 2013 00:00:00 GMT", "description": "The Antarctic Peninsula is among the most rapidly warming regions on earth. Increased heat from the Antarctic Circumpolar Current has elevated the temperature of the 300 m of shelf water below the permanent pycnocline by 0.7 degrees C. This trend has displaced the once dominant cold, dry continental Antarctic climate, and is causing multi-level responses in the marine ecosystem. One striking example of the ecosystem response to warming has been the local declines in ice-dependent Ad\u00e9lie penguins. The changes in these apex predators are thought to be driven by alterations in phytoplankton and zooplankton community composition, and the foraging limitations and diet differences between these species. One of the most elusive questions facing researchers interested in the foraging ecology of the Ad\u00e9lie penguin, namely, what are the biophysical properties that characterize the three dimensional foraging space of this top predator? The research will combine the real-time site and diving information from the Ad\u00e9lie penguin satellite tags with the full characterization of the oceanography and the penguins prey field using an autonomous underwater vehicle (AUV). While some of these changes have been documented over large spatial scales of the WAP, it is now thought that the causal mechanisms that favor of one life history strategy over another may actually operate over much smaller scales than previously thought, specifically on the scale of local breeding sites and over-wintering areas. Characterization of prey fields on these local scales has yet to be done and one that the AUV is ideally suited. The results will have a direct tie to the climate induced changes that are occurring in the West Antarctic Peninsula. This study will also highlight a new approach to linking an autonomous platform to bird behavior that could be expanded to include the other two species of penguins and examine the seasonal differences in their foraging behavior and prey selection. From a vehicle perspective, this effort will inform the AUV user community of new sensor suites and/or data processing approaches that are required to better evaluate foraging habitat. The project also will help transition AUV platforms into routine investigative tools for this region, which is chronically under sampled and will remain difficult to access\n", "east": null, "geometry": null, "keywords": "Biota; Oceans; Southern Ocean", "locations": "Southern Ocean", "north": null, "nsf_funding_programs": null, "persons": "Wendt, Dean; Moline, Mark", "project_titles": "Real-Time Characterization of Adelie Penguin Foraging Environment Using an Autonomous Underwater Vehicle", "projects": [{"proj_uid": "p0000662", "repository": "USAP-DC", "title": "Real-Time Characterization of Adelie Penguin Foraging Environment Using an Autonomous Underwater Vehicle"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Real-Time Characterization of Adelie Penguin Foraging Environment Using an Autonomous Underwater Vehicle", "uid": "600120", "west": null}, {"awards": "0739654 Catania, Ginny", "bounds_geometry": ["POLYGON((-110 -74,-109 -74,-108 -74,-107 -74,-106 -74,-105 -74,-104 -74,-103 -74,-102 -74,-101 -74,-100 -74,-100 -74.2,-100 -74.4,-100 -74.6,-100 -74.8,-100 -75,-100 -75.2,-100 -75.4,-100 -75.6,-100 -75.8,-100 -76,-101 -76,-102 -76,-103 -76,-104 -76,-105 -76,-106 -76,-107 -76,-108 -76,-109 -76,-110 -76,-110 -75.8,-110 -75.6,-110 -75.4,-110 -75.2,-110 -75,-110 -74.8,-110 -74.6,-110 -74.4,-110 -74.2,-110 -74))"], "date_created": "Wed, 30 May 2012 00:00:00 GMT", "description": "This data set provides a coastline history of the eastern Amundsen Sea Embayment and terminus histories of its outlet glaciers derived from those coastlines. These outlet glaciers include Smith, Haynes, Thwaites, and Pine Island Glaciers. The coastlines were derived from detailed tracing of Landsat imagery between late 1972 and late 2011 (at a scale of 1:50,000). The data set also uses some additional data from other sources. The terminus histories are calculated as the intersections between these coastlines and 1996 flowlines.\n\nData are available via FTP in ESRI shapefile and comma separated value (.csv) formats.", "east": -100.0, "geometry": ["POINT(-105 -75)"], "keywords": "Amundsen Sea; Antarctica; Climate Change; Coastline; GIS Data; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Satellite Data Interpretation", "locations": "Antarctica; Amundsen Sea", "north": -74.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Macgregor, Joseph A.; Catania, Ginny; Markowski, Michael; Andrews, Alan G.", "project_titles": "Collaborative Research: Ice-flow history of the Thwaites Glacier, West Antarctica", "projects": [{"proj_uid": "p0000143", "repository": "USAP-DC", "title": "Collaborative Research: Ice-flow history of the Thwaites Glacier, West Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -76.0, "title": "Coastal and Terminus History of the Eastern Amundsen Sea Embayment, West Antarctica, 1972 - 2011", "uid": "609522", "west": -110.0}, {"awards": "1043669 Yuan, Xiaojun", "bounds_geometry": ["POLYGON((70 -64,71 -64,72 -64,73 -64,74 -64,75 -64,76 -64,77 -64,78 -64,79 -64,80 -64,80 -64.6,80 -65.2,80 -65.8,80 -66.4,80 -67,80 -67.6,80 -68.2,80 -68.8,80 -69.4,80 -70,79 -70,78 -70,77 -70,76 -70,75 -70,74 -70,73 -70,72 -70,71 -70,70 -70,70 -69.4,70 -68.8,70 -68.2,70 -67.6,70 -67,70 -66.4,70 -65.8,70 -65.2,70 -64.6,70 -64))"], "date_created": "Sun, 01 Jan 2012 00:00:00 GMT", "description": "Processess governing the formation of Antarctic bottom water (AABW) in the Indian Ocean sector of the Southern Ocean remain poorly described. As with AABW formation in more well studied regions of the Antarctic continent, global climate impacts of the source regions of this dense, cold water that help drive the global ocean thermohaline circulation are uncertain. A combination of (annual) continental shelf and slope moorings, seasonal (summer) hydrographic surveys on board the Chinese icebreaker M/V Xuelong, together with synthesis of historic and satellite data will be used to better constrain shelf processes and the atmosphere-ocean-ice interactions in the Prydz Bay region. Despite the seeming remoteness of the study site, changes in the formation rate of AABW could potentially have impact on northern hemisphere climate via effects on the global heat budget and through sea-level rise in the coming decades. The project additionally seeks to promote international collaboration between Chinese and US researchers. The data collected will be broadly disseminated to the oceanographic community through the National Oceanography Data Center and Chinese Arctic and Antarctic Data Center.", "east": 80.0, "geometry": ["POINT(75 -67)"], "keywords": "Antarctica; CTD Data; Mooring; Oceans; Physical Oceanography; Prydz Bay; Southern Ocean", "locations": "Southern Ocean; Antarctica; Prydz Bay", "north": -64.0, "nsf_funding_programs": null, "persons": "Yuan, Xiaojun", "project_titles": "US/Chinese Collaborative Study: Investigation of Bottom Water Formation in Prydz Bay, Antarctica", "projects": [{"proj_uid": "p0000439", "repository": "USAP-DC", "title": "US/Chinese Collaborative Study: Investigation of Bottom Water Formation in Prydz Bay, Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -70.0, "title": "US/Chinese Collaborative Study: Investigation of Bottom Water Formation in Prydz Bay, Antarctica", "uid": "600126", "west": 70.0}, {"awards": "XXXXXXX Palais, Julie", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -62,180 -64,180 -66,180 -68,180 -70,180 -72,180 -74,180 -76,180 -78,180 -80,144 -80,108 -80,72 -80,36 -80,0 -80,-36 -80,-72 -80,-108 -80,-144 -80,-180 -80,-180 -78,-180 -76,-180 -74,-180 -72,-180 -70,-180 -68,-180 -66,-180 -64,-180 -62,-180 -60))"], "date_created": "Sun, 20 Feb 2011 00:00:00 GMT", "description": "This data set provides grounding line and hydrostatic line locations for the Antarctic coastline and islands around Antarctica. The data are derived using customized software to combine data from Landsat-7 imagery and Ice, Cloud, and land Elevation Satellite (ICESat) laser altimetry, which were primarily collected between 1999 to 2003. The data set also includes elevations along each line, selected from six candidate digital elevation models. The data were developed as part of the Antarctic Surface Accumulation and Ice Discharge (ASAID) project. \r\n\r\nFunding trough NASA grant 509496.02.08.01.81\r\nData are provided in both ASCII text (.txt) and shapefile (.shp, .dbf, .shx) formats.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; ASAID; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Grounding Line Hydrostatic Line; Oceans", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Bindschadler, Robert; Choi, Hyeungu", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -80.0, "title": "High-resolution Image-derived Grounding and Hydrostatic Lines for the Antarctic Ice Sheet", "uid": "609489", "west": -180.0}, {"awards": "0840375 Costa, Daniel", "bounds_geometry": ["POLYGON((-64 -60,-63 -60,-62 -60,-61 -60,-60 -60,-59 -60,-58 -60,-57 -60,-56 -60,-55 -60,-54 -60,-54 -60.4,-54 -60.8,-54 -61.2,-54 -61.6,-54 -62,-54 -62.4,-54 -62.8,-54 -63.2,-54 -63.6,-54 -64,-55 -64,-56 -64,-57 -64,-58 -64,-59 -64,-60 -64,-61 -64,-62 -64,-63 -64,-64 -64,-64 -63.6,-64 -63.2,-64 -62.8,-64 -62.4,-64 -62,-64 -61.6,-64 -61.2,-64 -60.8,-64 -60.4,-64 -60))"], "date_created": "Fri, 01 Jan 2010 00:00:00 GMT", "description": "Long-lived animals such as elephant seals may endure variation in food resources over large spatial and temporal scales. Understanding how they respond to these fluctuations requires knowledge of how their foraging behavior and habitat utilization varies over time. Advances in satellite-linked data logging have made it possible to correlate the foraging behavior of marine mammals with their physical and chemical environment and provide insight into the mechanisms controlling at-sea movements, foraging behavior and, ultimately, reproductive success of these pelagic predators. In addition, these technological advances enable marine mammals to be used as highly cost-effective platforms from which detailed oceanographic data can be collected on a scale not possible with conventional methods. The project will extend the four-year-time-series collected on the foraging behavior and habitat utilization of southern elephant seal (Mirounga leonina) foraging in the Western Antarctic Peninsula. It also will extend the oceanographic time-series of CTD profiles collected by the elephant seals foraging from the Livingston Island rookery. Seals have been collecting CTD profiles in the vicinity of the Wilkins Ice Shelf (WIS) since 2005. We thus have a 4 year data set that preceding and during the breakup of the WIS that occurred during March 2008. Deployment of additional tags on seals will provide a unique opportunity to collect oceanographic data after the ice shelf has collapsed.", "east": -54.0, "geometry": ["POINT(-59 -62)"], "keywords": "Biota; CTD Data; Oceans; Physical Oceanography; Seals; Southern Ocean", "locations": "Southern Ocean", "north": -60.0, "nsf_funding_programs": null, "persons": "Goebel, Michael; Costa, Daniel", "project_titles": "SGER: Foraging Patterns of Elephant Seals in the Vicinity of the WIlkins Ice Shelf", "projects": [{"proj_uid": "p0000158", "repository": "USAP-DC", "title": "SGER: Foraging Patterns of Elephant Seals in the Vicinity of the WIlkins Ice Shelf"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -64.0, "title": "SGER: Foraging Patterns of Elephant Seals in the Vicinity of the WIlkins Ice Shelf", "uid": "600108", "west": -64.0}, {"awards": "0439759 Ballard, Grant", "bounds_geometry": ["POINT(166 -77)"], "date_created": "Tue, 19 May 2009 00:00:00 GMT", "description": "This project is an international collaborative investigation of geographic structuring, founding of new colonies, and population change of Adelie penguins (Pygoscelis adelia) nesting on Ross and Beaufort islands, Antarctica. This ongoing study will continue to consider the relative importance of resources that constrain or enhance colony growth (nesting habitat, access to food); the aspects of natural history that are affected by exploitative or interference competition among neighboring colonies (breeding success, foraging effort); climatic factors that influence the latter, especially sea ice patterns; and behavioral mechanisms that influence colony growth as a function of initial size and location (emigration, immigration). The research includes a census of known-age penguins, studies of foraging effort and overlap among colonies; and identification of the location of molting and wintering areas. ", "east": 166.0, "geometry": ["POINT(166 -77)"], "keywords": null, "locations": null, "north": -77.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Ballard, Grant", "project_titles": "COLLABORATIVE: Adelie Penguin Response to Climate Change at the Individual, Colony and Metapopulation Levels", "projects": [{"proj_uid": "p0000318", "repository": "USAP-DC", "title": "COLLABORATIVE: Adelie Penguin Response to Climate Change at the Individual, Colony and Metapopulation Levels"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.0, "title": "Adelie penguin satellite position data 2000-2009 from the California Avian Data Center hosted by Point Reyes Bird Observatory Conservation Science", "uid": "600012", "west": 166.0}, {"awards": "0440414 Steig, Eric", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Thu, 01 Jan 2009 00:00:00 GMT", "description": "This award supports a project to obtain stable isotope profiles from shallow (\u003c100 m) ice cores from East Antarctica, to add to the growing database of environmental proxy data collected under the auspices of the \"ITASE\" (International TransAntarctic Scientific Expedition) program. In Antarctica, the instrumental record of climate is particularly short (~40 years except in a few isolated locations on the coast), and ice core proxy data are the only means available for extending this record into the past. The use of stable isotopes of water (18-O/16-O and D/H ratios) from ice cores as proxies for temperature is well established for both very short (i.e. seasonal) and long timescales (centuries, millennia). Using multivariate regression methods and shallow ice cores from West Antarctica, a reconstruction of Antarctic climate over the last ~150 years has been developed which suggests the continent has been warming, on average, at a rate of ~0.2 K/century. Further improving these reconstructions is the chief motivation for further extending the US ITASE project. Ten to fifteen shallow (~100 m) from Victoria Land, East Antarctica will be obtained and analyzed. The core will be collected along a traverse route beginning at Taylor Dome and ending at the South Pole. Age-depth relationships for the cores will be determined through a combination of stable isotopes, visual stratigraphy and seasonal chemical signatures and marker horizons. Reconstructions of Antarctic climate obtained from these cores will be incorporated into the global network of paleoclimate information, which has been important in science, policy and educational contexts. The project will include graduate student and postdoctoral training and field experience.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Atmosphere; Climate; Cryosphere; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Core Records; Isotope; ITASE; Meteorology; Paleoclimate; Satellite Remote Sensing; Weather Station Data", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": null, "persons": "Steig, Eric J.", "project_titles": "Stable Isotope Studies at East Antarctic US ITASE Sites", "projects": [{"proj_uid": "p0000202", "repository": "USAP-DC", "title": "Stable Isotope Studies at East Antarctic US ITASE Sites"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "ITASE", "south": -90.0, "title": "Stable Isotope Studies at East Antarctic US ITASE Sites", "uid": "600042", "west": -180.0}, {"awards": "0229546 MacAyeal, Douglas", "bounds_geometry": ["POINT(-178 -78)"], "date_created": "Mon, 15 Dec 2008 00:00:00 GMT", "description": "Since November of 2006, 12 thermistors were planted in the upper 16 meters of the firn on the Ross Ice Shelf near its calving front. Temperature data are collected every 20 minutes and are transmitted via ARGOS satellite relay. Data are intended to provide a view of how firn temperatures change as the ice shelf evolves. Data are available in comma-delimited ASCII format. Data are available via FTP.", "east": -178.0, "geometry": ["POINT(-178 -78)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ross Ice Shelf; Snow/ice; Snow/Ice; Temperature", "locations": "Antarctica; Ross Ice Shelf", "north": -78.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Scambos, Ted; Muto, Atsu; Sergienko, Olga; MacAyeal, Douglas", "project_titles": "Collaborative Research of Earth\u0027s Largest Icebergs", "projects": [{"proj_uid": "p0000117", "repository": "USAP-DC", "title": "Collaborative Research of Earth\u0027s Largest Icebergs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "Ross Ice Shelf Firn Temperature, Antarctica", "uid": "609354", "west": -178.0}, {"awards": "0229546 MacAyeal, Douglas", "bounds_geometry": ["POINT(168 -78)"], "date_created": "Fri, 28 Nov 2008 00:00:00 GMT", "description": "Since November of 2005, 12 thermistors were planted in the upper 2.5 meters of the firn on iceberg C16, Antarctica. Temperature data are collected every 20 minutes and are transmitted via ARGOS satellite relay. Data are intended to provide a view of how firn temperatures change as an iceberg moves north into warmer climate.", "east": 168.0, "geometry": ["POINT(168 -78)"], "keywords": "Glaciology; Iceberg; Oceans; Ross Ice Shelf; Sea Ice; Snow/ice; Snow/Ice; Southern Ocean; Temperature", "locations": "Ross Ice Shelf; Southern Ocean", "north": -78.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Thom, Jonathan; Sergienko, Olga; MacAyeal, Douglas", "project_titles": "Collaborative Research of Earth\u0027s Largest Icebergs", "projects": [{"proj_uid": "p0000117", "repository": "USAP-DC", "title": "Collaborative Research of Earth\u0027s Largest Icebergs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "Iceberg Firn Temperatures, Antarctica", "uid": "609352", "west": 168.0}, {"awards": "0229546 MacAyeal, Douglas", "bounds_geometry": ["POLYGON((-178 -60,-149.2 -60,-120.4 -60,-91.6 -60,-62.8 -60,-34 -60,-5.2 -60,23.6 -60,52.4 -60,81.2 -60,110 -60,110 -61.8,110 -63.6,110 -65.4,110 -67.2,110 -69,110 -70.8,110 -72.6,110 -74.4,110 -76.2,110 -78,81.2 -78,52.4 -78,23.6 -78,-5.2 -78,-34 -78,-62.8 -78,-91.6 -78,-120.4 -78,-149.2 -78,-178 -78,-178 -76.2,-178 -74.4,-178 -72.6,-178 -70.8,-178 -69,-178 -67.2,-178 -65.4,-178 -63.6,-178 -61.8,-178 -60))"], "date_created": "Mon, 20 Oct 2008 00:00:00 GMT", "description": "During 2001-2006, 6 giant icebergs (B15A, B15J, B15K, C16 and C25) adrift in the southwestern Ross Sea, Antarctica, were instrumented with global positioning system (GPS) receivers, magnetic compasses and automatic weather stations (AWS), to monitor their behavior in the near-coastal environment and to record their exit into the Southern Ocean. The GPS and AWS data were collected on a 20-minute interval, Many of the station data timeseries are continuous for periods of up to 7 years, with icebergs C16 and B15J having the longest records.\n\nThe data is considered useful for examining the processes of iceberg drift (and other behaviors) on time scales that are shorter than what is possible through satellite image iceberg tracking. Data are available in comma-delimited ASCII format and Matlab native mat files.", "east": 110.0, "geometry": ["POINT(-34 -69)"], "keywords": "AWS; Glaciology; GPS; Iceberg; Meteorology; Oceans; Ross Sea; Sea Ice; Southern Ocean; Weatherstation", "locations": "Southern Ocean; Ross Sea", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Okal, Emile; Aster, Richard; Bassis, Jeremy; MacAyeal, Douglas", "project_titles": "Collaborative Research of Earth\u0027s Largest Icebergs", "projects": [{"proj_uid": "p0000117", "repository": "USAP-DC", "title": "Collaborative Research of Earth\u0027s Largest Icebergs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "Giant Icebergs of the Ross Sea, in situ Drift and Weather Measurements, Antarctica", "uid": "609350", "west": -178.0}, {"awards": "9526566 Bindschadler, Robert", "bounds_geometry": ["POINT(-119.4 -80.01)", "POINT(-174.45 -82.52)", "POINT(-84 -75.9)", "POINT(160.41 -74.21)"], "date_created": "Tue, 28 Nov 2006 00:00:00 GMT", "description": "This data set includes daily, monthly, and yearly mean surface air temperatures for four interior West Antarctic sites between 1978 and 1997. Data include air surface temperatures measured at the Byrd, Lettau, Lynn, and Siple Station automatic weather stations. In addition, because weather stations in Antarctica are difficult to maintain, and resulting multi-decade records are often incomplete, the investigators also calculated surface temperatures from satellite passive microwave brightness temperatures. Calibration of 37-GHz vertically polarized brightness temperature data during periods of known air temperature, using emissivity modeling, allowed the investigators to replace data gaps with calibrated brightness temperatures.\n\nMS Excel data files and GIF images derived from the data are available via ftp from the National Snow and Ice Data Center.", "east": 160.41, "geometry": ["POINT(-119.4 -80.01)", "POINT(-174.45 -82.52)", "POINT(-84 -75.9)", "POINT(160.41 -74.21)"], "keywords": "Antarctica; Atmosphere; Automated Weather Station; Meteorology; Temperature; West Antarctica", "locations": "West Antarctica; Antarctica", "north": -74.21, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Shuman, Christopher A.; Stearns, Charles R.", "project_titles": "Passive Microwave Remote Sensing for Paleoclimate Indicators at Siple Dome, Antarctica", "projects": [{"proj_uid": "p0000191", "repository": "USAP-DC", "title": "Passive Microwave Remote Sensing for Paleoclimate Indicators at Siple Dome, Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -82.52, "title": "Decadal-Length Composite West Antarctic Air Temperature Records", "uid": "609097", "west": -174.45}, {"awards": "0230197 Holt, John", "bounds_geometry": ["POLYGON((-134.9 -71.7,-129.86 -71.7,-124.82 -71.7,-119.78 -71.7,-114.74 -71.7,-109.7 -71.7,-104.66 -71.7,-99.62 -71.7,-94.58 -71.7,-89.54 -71.7,-84.5 -71.7,-84.5 -72.7,-84.5 -73.7,-84.5 -74.7,-84.5 -75.7,-84.5 -76.7,-84.5 -77.7,-84.5 -78.7,-84.5 -79.7,-84.5 -80.7,-84.5 -81.7,-89.54 -81.7,-94.58 -81.7,-99.62 -81.7,-104.66 -81.7,-109.7 -81.7,-114.74 -81.7,-119.78 -81.7,-124.82 -81.7,-129.86 -81.7,-134.9 -81.7,-134.9 -80.7,-134.9 -79.7,-134.9 -78.7,-134.9 -77.7,-134.9 -76.7,-134.9 -75.7,-134.9 -74.7,-134.9 -73.7,-134.9 -72.7,-134.9 -71.7))"], "date_created": "Wed, 25 Oct 2006 00:00:00 GMT", "description": "This data set includes 5 km gridded data from the Airborne Geophysical Survey of the Amundsen Sea Embayment, Antarctica (AGASEA) conducted during the 2004-2005 austral summer. Investigators derived maps of the ice sheet surface and subglacial topography, which covers the entire catchments of both the Thwaites Glacier and the Pine Islands Glacier, from airborne survey systems mounted on a Twin Otter aircraft. The surveys had sufficient density to identify critical ice dynamic transitions within the Amundsen Sea Embayment (ASE). \n\nThe ASE is the only major drainage to exhibit significant elevation change over the period of available satellite observations. Modeling of the Western Antarctic Ice Sheet (WAIS) deglaciation pinpointed the Pine Island Glacier and the Thwaites Glacier, which comprise a major portion of the ASE, as the most vulnerable features of the WAIS. Present knowledge of the ice thickness and subglacial boundary conditions in the ASE are insufficient to understand its evolution or its sensitivity to climatic change, and it is not yet determined whether these changes are evidence of ongoing deglaciation or simply a fluctuation that does not threaten the equilibrium of the ice sheet. This research will support the efforts of a community of United States and international researchers to assess the present and predict the future behavior of the ice sheet in the ASE. \n\nThese data are available via FTP.", "east": -84.5, "geometry": ["POINT(-109.7 -76.7)"], "keywords": "AGASEA; Airborne Radar; Amundsen Sea; Antarctica; Elevation; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Solid Earth", "locations": "Antarctica; Amundsen Sea", "north": -71.7, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Holt, John W.; Blankenship, Donald D.; Morse, David L.; Vaughan, David G.; Corr, Hugh F. J.; Young, Duncan A.", "project_titles": "Airborne Geophysical Survey of the Amundsen Sea Embayment, Antarctica (AGASEA)", "projects": [{"proj_uid": "p0000243", "repository": "USAP-DC", "title": "Airborne Geophysical Survey of the Amundsen Sea Embayment, Antarctica (AGASEA)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -81.7, "title": "Subglacial Topography: Airborne Geophysical Survey of the Amundsen Sea Embayment, Antarctica", "uid": "609292", "west": -134.9}, {"awards": "0225992 Fahnestock, Mark; 0125570 Scambos, Ted", "bounds_geometry": ["POLYGON((124.4345 -80.77546,124.443718 -80.77546,124.452936 -80.77546,124.462154 -80.77546,124.471372 -80.77546,124.48059 -80.77546,124.489808 -80.77546,124.499026 -80.77546,124.508244 -80.77546,124.517462 -80.77546,124.52668 -80.77546,124.52668 -80.776922,124.52668 -80.778384,124.52668 -80.779846,124.52668 -80.781308,124.52668 -80.78277,124.52668 -80.784232,124.52668 -80.785694,124.52668 -80.787156,124.52668 -80.788618,124.52668 -80.79008,124.517462 -80.79008,124.508244 -80.79008,124.499026 -80.79008,124.489808 -80.79008,124.48059 -80.79008,124.471372 -80.79008,124.462154 -80.79008,124.452936 -80.79008,124.443718 -80.79008,124.4345 -80.79008,124.4345 -80.788618,124.4345 -80.787156,124.4345 -80.785694,124.4345 -80.784232,124.4345 -80.78277,124.4345 -80.781308,124.4345 -80.779846,124.4345 -80.778384,124.4345 -80.776922,124.4345 -80.77546))"], "date_created": "Thu, 05 Oct 2006 00:00:00 GMT", "description": "The Antarctic megadune research was conducted during two field seasons, one in November 2002 and the other during the period of December 2003 through January 2004. The megadune field site is located on the East Antarctic Plateau, southeast of Vostok station. The objectives of this multi-facetted research are 1) to determine the physical characteristics of the firn across the dunes including typical climate indicators such as stable isotopes and major chemical species and 2) to install instruments to measure the time variation of near-surface wind and temperature with depth, to test and refine hypotheses for megadune formation. It is important to improve our current understanding of the megadunes because of their extreme nature, their broad extent, and their potential impact on the climate record. Megadunes are a manifestation of an extreme terrestrial climate and may provide insight on the past terrestrial climate or on processes active on other planets.\n\nSnow megadunes are undulating variations in accumulation and surface texture with wavelengths of 2 to 5 km and amplitudes up to 5 meters. The features cover 500,000 km\u003csup\u003e2\u003c/sup\u003e of the East Antarctic plateau, occurring in areas of moderate regional slope and low accumulation on the flanks of the ice sheet between 2500 and 3800 meters elevation. Landsat images and aerial photography indicate the dunes consist of alternating surfaces of glaze and rough sastrugi, with gradational boundaries. This pattern is oriented perpendicular to the mean wind direction, as modeled in katabatic wind studies. Glazed surfaces cover the leeward faces and troughs; rough sastrugi cover the windward faces and crests. The megadune pattern is crossed by smooth to eroded wind-parallel longitudinal dunes. Wind-eroded longitudinal dunes form spectacular 1-meter-high sastrugi in nearby areas.\n\nThis data set contains automated weather station (AWS) data from two sites. The Mac site was oriented on the rough sastrugi-covered windward face and the Zoe site was on the glazed leeward face. The AWSs collected data throughout the year from 16 January 2004 to 17 November 2004. Investigators received data from the two field sites via the ARGOS Satellite System (http://www.argosinc.com/). Data are provided in space-delimited ASCII text format and are available via FTP.", "east": 124.52668, "geometry": ["POINT(124.48059 -80.78277)"], "keywords": "Antarctica; Atmosphere; East Antarctic Plateau; Glaciers/ice Sheet; Glaciers/Ice Sheet; Meteorology; Snow/ice; Snow/Ice", "locations": "Antarctica; East Antarctic Plateau", "north": -80.77546, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Fahnestock, Mark; Scambos, Ted; Haran, Terry; Bauer, Rob", "project_titles": "Collaborative Research: Characteristics of Snow Megadunes and Their Potential Effect on Ice Core Interpretation", "projects": [{"proj_uid": "p0000587", "repository": "USAP-DC", "title": "Collaborative Research: Characteristics of Snow Megadunes and Their Potential Effect on Ice Core Interpretation"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -80.79008, "title": "AWS Data: Characteristics of Snow Megadunes and Their Potential Effect on Ice Core Interpretation", "uid": "609283", "west": 124.4345}, {"awards": "9909518 Raymond, Charles", "bounds_geometry": ["POLYGON((-158 -81,-155.6 -81,-153.2 -81,-150.8 -81,-148.4 -81,-146 -81,-143.6 -81,-141.2 -81,-138.8 -81,-136.4 -81,-134 -81,-134 -81.3,-134 -81.6,-134 -81.9,-134 -82.2,-134 -82.5,-134 -82.8,-134 -83.1,-134 -83.4,-134 -83.7,-134 -84,-136.4 -84,-138.8 -84,-141.2 -84,-143.6 -84,-146 -84,-148.4 -84,-150.8 -84,-153.2 -84,-155.6 -84,-158 -84,-158 -83.7,-158 -83.4,-158 -83.1,-158 -82.8,-158 -82.5,-158 -82.2,-158 -81.9,-158 -81.6,-158 -81.3,-158 -81))"], "date_created": "Thu, 15 Dec 2005 00:00:00 GMT", "description": "These data consist of ground-based, ice-penetrating radar profiles across satellite-detected lineations and terrains that were taken in the lower reaches of Ross Ice Stream C, also known as the Kamb Ice Stream (KIS); on Roosevelt Island; on the Siple Dome; and on the Shabtaie Ice Ridge.", "east": -134.0, "geometry": ["POINT(-146 -82.5)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; GPR; Radar; Siple Coast", "locations": "Antarctica; Siple Coast", "north": -81.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Raymond, Charles; Conway, Howard; Catania, Ginny", "project_titles": "Collaborative Research:History and Evolution of the Siple Coast Ice Stream Systems as Recorded by Former Shear-Margin Scars", "projects": [{"proj_uid": "p0000275", "repository": "USAP-DC", "title": "Collaborative Research:History and Evolution of the Siple Coast Ice Stream Systems as Recorded by Former Shear-Margin Scars"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -84.0, "title": "Compilation of Antarctic Radar Data, Siple Coast, 2000-2002", "uid": "609274", "west": -158.0}, {"awards": "XXXXXXX Palais, Julie", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Wed, 02 Nov 2005 00:00:00 GMT", "description": "The MODIS Mosaic of Antarctica 2003-2004 (MOA2004) Image Map consists of two cloud-free digital image maps that show mean surface morphology and a quantitative measure of optical snow grain size on the Antarctic continent and surrounding islands. The 260 orbit swaths used to create the 2003/2004 MOA Surface Morphology Image Map and the 2003/2004 MOA Grain Size Image Map were acquired 20 November 2003 through 29 February 2004 by the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the NASA EOS Aqua and Terra satellites. The 122 orbit swaths used to create the 2003 MOA Grain Size Image Map were acquired 1 November 2003 through 17 December 2003. Vector data sets with the corresponding coastlines, ice sheet grounding lines, and islands are also provided.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; MODIS; Sample/collection Description; Sample/Collection Description; Solid Earth", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Haran, Terry; Bohlander, Jennifer; Scambos, Ted; Painter, Thomas; Fahnestock, Mark", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -90.0, "title": "MODIS Mosaic of Antarctica 2003-2004 (MOA2004) Image Map", "uid": "609280", "west": -180.0}, {"awards": null, "bounds_geometry": null, "date_created": "Tue, 14 Dec 2004 00:00:00 GMT", "description": "This data set consists of AVHRR retrievals of surface and cloud properties as well as radiative fluxes for the period 1982 - 1999 over the Arctic and Antarctic at a 25 km resolution. The images times are 1400 and 0400 (Arctic) or 0200 (Antarctic) local solar times. Resulsts are calculated on a twice-daily basis, but only monthly mean images and area-averaged values are currently online.\n\nThe standard AVHRR Polar Pathfinder (APP) product includes gridded radiances, viewing and illumination geometry, clear sky surface temperature and albedo, and three cloud masks at a 5 km resolution. We have extended the standard APP product to include all-sky surface temperature, all-sky surface albedo, cloud properties (particle phase, effective radius, optical depth, temperature and pressure), and radiative fluxes as well as cloud radiative effect (\u201cforcing\u201d). We refer to this dataset as APP-x", "east": null, "geometry": null, "keywords": null, "locations": null, "north": null, "nsf_funding_programs": null, "persons": "Key, Jeffrey R.", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": null, "title": "Extended Advanced Very High Resolution Radiometer Polar Pathfinder Satellite Product", "uid": "600021", "west": null}, {"awards": "XXXXXXX Palais, Julie", "bounds_geometry": ["POLYGON((-180 -50,-144 -50,-108 -50,-72 -50,-36 -50,0 -50,36 -50,72 -50,108 -50,144 -50,180 -50,180 -54,180 -58,180 -62,180 -66,180 -70,180 -74,180 -78,180 -82,180 -86,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -86,-180 -82,-180 -78,-180 -74,-180 -70,-180 -66,-180 -62,-180 -58,-180 -54,-180 -50))"], "date_created": "Tue, 23 Mar 2004 00:00:00 GMT", "description": "This compilation of recent ice velocity data of the Antarctic ice sheet is intended for use by the polar scientific community. The data are presented in tabular form (ASCII), containing latitude, longitude, speed, bearing, and error ranges. A metadata header describes the source of the data, the time of measurement, and gives details on measurement accuracy and precision. The tables are available for ftp transfer.\n\nWeb pages developed specifically for this data set provide detailed information for viewing and selecting the velocity data. These pages contain large satellite image maps (available as jpeg files). The data sets used to create these images were contributed by several investigators, generally from already published work. Both in situ and image-based methods are used.\n\nReferences for the data sets are included with the data tables. If you have well-characterized Antarctic ice velocity data you would like to contribute to this site, please contact teds@icehouse.colorado.edu. If you have any questions concerning the relevance of these data to your work please contact NSIDC User Services.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Geology/Geophysics - Other; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Velocity; Sample/collection Description; Sample/Collection Description", "locations": "Antarctica; Antarctica", "north": -50.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Bindschadler, Robert; Raymond, Charles", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -90.0, "title": "Antarctic Ice Velocity Data", "uid": "609070", "west": -180.0}, {"awards": "9316338 Jacobel, Robert", "bounds_geometry": ["POLYGON((-155 -81,-154 -81,-153 -81,-152 -81,-151 -81,-150 -81,-149 -81,-148 -81,-147 -81,-146 -81,-145 -81,-145 -81.2,-145 -81.4,-145 -81.6,-145 -81.8,-145 -82,-145 -82.2,-145 -82.4,-145 -82.6,-145 -82.8,-145 -83,-146 -83,-147 -83,-148 -83,-149 -83,-150 -83,-151 -83,-152 -83,-153 -83,-154 -83,-155 -83,-155 -82.8,-155 -82.6,-155 -82.4,-155 -82.2,-155 -82,-155 -81.8,-155 -81.6,-155 -81.4,-155 -81.2,-155 -81))"], "date_created": "Fri, 01 Jan 1999 00:00:00 GMT", "description": "The Siple Dome Glaciology and Ice Stream History project was part of Western Divide West Antarctic Ice Cores (WAISCORES), an NSF-funded project to understand the influence of the West Antarctic ice sheet on climate and sea level change. WAISCORES researchers acquired and analyzed ice cores from the Siple Dome, in the Siple Coast region, West Antarctica.\n\nThis project supported glaciological studies of Siple Dome and its surroundings between Ice Streams C and D, via two major goals. First, it sought to characterize the dynamic environment and ice stratigraphy of Siple Dome and its surroundings, with the specific mission of assessing Siple Dome as a potential deep core site; and second, to determine whether the configuration of ice stream flow in the region has changed over time. Both goals are relevant to understanding the dynamics of the West Antarctic Ice Sheet (WAIS), its history, and potential future behavior.\n\nThis project was a collaboration between Saint Olaf College, the University of Washington, and the National Snow and Ice Data Center at the University of Colorado. It included studies of satellite imagery and acquisition and analysis of field data from GPS, firn cores and snow pits, and ground-based ice-penetrating radar.\n\nData in this collection were obtained during two Antarctic field seasons in 1994\u201395 and 1996\u201397. The data set is available via FTP as Microsoft Excel Spreadsheet (.xls) and ASCII tab delimited (.txt) files. Related notes are available as a Microsoft Word (.doc) or text (.txt) file. Related images and charts are available as Graphics Interchange Format (.gif) and Joint Photographic Experts Group (.jpg) files.", "east": -145.0, "geometry": ["POINT(-150 -82)"], "keywords": "Antarctica; Geology/Geophysics - Other; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Sample/collection Description; Sample/Collection Description; Siple Dome; Siple Dome Ice Core", "locations": "Antarctica; Siple Dome", "north": -81.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Jacobel, Robert", "project_titles": "Siple Dome Glaciology and Ice Stream History", "projects": [{"proj_uid": "p0000190", "repository": "USAP-DC", "title": "Siple Dome Glaciology and Ice Stream History"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "Siple Dome Ice Core", "south": -83.0, "title": "Siple Dome Glaciology and Ice Stream History 1994, 1996", "uid": "609085", "west": -155.0}]
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Dataset Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Project Links | Abstract | Bounds Geometry | Geometry | Selected | Visible |
---|---|---|---|---|---|---|---|---|---|
Yearly velocity and strain-rate averages from the Thwaites Eastern Ice Shelf, 2013-2022
|
1929991 |
2025-02-21 | Banerjee, Debangshu; Lilien, David; Truffer, Martin; Luckman, Adrian; Wild, Christian; Pettit, Erin; Scambos, Ted; Muto, Atsuhiro; Alley, Karen |
NSF-NERC: Thwaites-Amundsen Regional Survey and Network (TARSAN) Integrating Atmosphere-Ice-Ocean Processes affecting the Sub-Ice-Shelf Environment |
This dataset comprises GeoTiff files that capture the yearly averages of ice-flow velocity (including x- and y-components, and flow speed) and strain rates (longitudinal, transverse, and shear) for the Thwaites Eastern Ice Shelf (TEIS) from 2013 to 2022. The velocity grids were generated using ITS_LIVE image-pair velocities available throughout the year, ensuring a consistent extent and spatial resolution for each annual composite. These composites were created by stacking all available image pairs and taking the median value for each grid cell. Small data gaps near the grounding line were filled using bilinear interpolation. Each pixel in the grid represents the median value of all available pixels during the specified period. The data are gridded at a spatial resolution of 120m in a polar stereographic projection (EPSG:3031). Speed is given in metres per day (m/yr), and strain rates are given in units/day. Additional funding was received from NE/S006419/1. | ["POLYGON((-106.5 -74.5,-106.3 -74.5,-106.1 -74.5,-105.9 -74.5,-105.7 -74.5,-105.5 -74.5,-105.3 -74.5,-105.1 -74.5,-104.9 -74.5,-104.7 -74.5,-104.5 -74.5,-104.5 -74.6,-104.5 -74.7,-104.5 -74.8,-104.5 -74.9,-104.5 -75,-104.5 -75.1,-104.5 -75.2,-104.5 -75.3,-104.5 -75.4,-104.5 -75.5,-104.7 -75.5,-104.9 -75.5,-105.1 -75.5,-105.3 -75.5,-105.5 -75.5,-105.7 -75.5,-105.9 -75.5,-106.1 -75.5,-106.3 -75.5,-106.5 -75.5,-106.5 -75.4,-106.5 -75.3,-106.5 -75.2,-106.5 -75.1,-106.5 -75,-106.5 -74.9,-106.5 -74.8,-106.5 -74.7,-106.5 -74.6,-106.5 -74.5))"] | ["POINT(-105.5 -75)"] | false | false |
APL-UW Southern Ocean Wave Glider Data from 2019/20 Mission
|
1853291 |
2025-02-17 | Girton, James |
Wave Glider Observations of Surface Fluxes and Mixed-layer Processes in the Southern Ocean |
This data file collects the initial processed versions of all upper-ocean and lower-atmosphere data streams (along with subsampled satellite and reanalysis products along the survey track) from the 2019/20 deployment of the APL-UW Wave Glider autonomous surface vehicle (SV3-153) in Drake Passage. <br/> | ["POLYGON((-70 -58,-68.8 -58,-67.6 -58,-66.4 -58,-65.2 -58,-64 -58,-62.8 -58,-61.6 -58,-60.4 -58,-59.2 -58,-58 -58,-58 -58.8,-58 -59.6,-58 -60.4,-58 -61.2,-58 -62,-58 -62.8,-58 -63.6,-58 -64.4,-58 -65.2,-58 -66,-59.2 -66,-60.4 -66,-61.6 -66,-62.8 -66,-64 -66,-65.2 -66,-66.4 -66,-67.6 -66,-68.8 -66,-70 -66,-70 -65.2,-70 -64.4,-70 -63.6,-70 -62.8,-70 -62,-70 -61.2,-70 -60.4,-70 -59.6,-70 -58.8,-70 -58))"] | ["POINT(-64 -62)"] | false | false |
NBP1402 diatom data
|
1143836 |
2024-10-21 | Leventer, Amy; NBP1402 science party, |
Collaborative Research: Totten Glacier System and the Marine Record of Cryosphere - Ocean Dynamics |
Totten Glacier is the termination of the largest marine-based portion of the East Antarctic Ice Sheet, the Aurora Subglacial Basin. Yet little is known about the glacial evolution of the catchment and the factors influencing its present and past behavior. Due its remote location and heavy sea ice, the continental shelf in front of the Totten Glacier had not been comprehensively surveyed prior to this study. Satellite observations indicate that the Totten ice drainage system is thinning, and it has been hypothesized that this thinning is in response to undermelting by warm ocean waters over the continental shelf. While this process is observed elsewhere in Antarctica (e.g. the rapidly retreating Pine Island Glacier in West Antarctica), the Totten Glacier system is potentially Antarcticas most important glacial drainage system due to its large size; it is three times larger than any system in West Antarctica. </br>The main goals of this proposal were: </br>To generate multibeam bathymetric maps of the continental shelf proximal to the Totten Glacier system to understand the recent regional glacial history and to document the pathways, if any, for circumpolar deep water to move onto the shelf. </br>To conduct a physical oceanographic survey of the region proximal to the Totten Glacier system, to determine the presence, if any, of warm ocean waters over the continental shelf.</br>To conduct a seismic survey of the continental shelf to assess the long-term evolution of the glacial system in the Aurora Subglacial Basin.</br>To collect marine sediment cores to determine the regional deglacial to Holocene climate history and the influence of warm circumpolar deep water. | ["POLYGON((117 -66,119.9 -66,122.8 -66,125.7 -66,128.6 -66,131.5 -66,134.4 -66,137.3 -66,140.2 -66,143.1 -66,146 -66,146 -66.1,146 -66.2,146 -66.3,146 -66.4,146 -66.5,146 -66.6,146 -66.7,146 -66.8,146 -66.9,146 -67,143.1 -67,140.2 -67,137.3 -67,134.4 -67,131.5 -67,128.6 -67,125.7 -67,122.8 -67,119.9 -67,117 -67,117 -66.9,117 -66.8,117 -66.7,117 -66.6,117 -66.5,117 -66.4,117 -66.3,117 -66.2,117 -66.1,117 -66))"] | ["POINT(131.5 -66.5)"] | false | false |
Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications
|
2136938 |
2024-10-07 | Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; Lütjens, Björn; Tedesco, Marco |
Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning |
This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately. <br/><br/> <br/><br/>The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Modéle Atmosphérique Règional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. <br/><br/>A similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. <br/><br/> <br/><br/> <br/><br/> | ["POLYGON((-40 67.55,-39.611 67.55,-39.222 67.55,-38.833 67.55,-38.444 67.55,-38.055 67.55,-37.666 67.55,-37.277 67.55,-36.888 67.55,-36.499 67.55,-36.11 67.55,-36.11 67.28999999999999,-36.11 67.03,-36.11 66.77,-36.11 66.51,-36.11 66.25,-36.11 65.99,-36.11 65.73,-36.11 65.47,-36.11 65.21000000000001,-36.11 64.95,-36.499 64.95,-36.888 64.95,-37.277 64.95,-37.666 64.95,-38.055 64.95,-38.444 64.95,-38.833 64.95,-39.222 64.95,-39.611 64.95,-40 64.95,-40 65.21000000000001,-40 65.47,-40 65.73,-40 65.99,-40 66.25,-40 66.51,-40 66.77,-40 67.03,-40 67.28999999999999,-40 67.55))"] | ["POINT(-38.055 66.25)"] | false | false |
Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications
|
2136938 |
2024-10-07 | Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; Lütjens, Björn; Tedesco, Marco |
Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning |
This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Lambert azimuthal equal area projection; EPSG 9820) over Larsen C Ice Shelf and surrounding areas in Antarctica. The data is prepared to be used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately. <br/><br/><br/>The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Modéle Atmosphérique Règional (MAR) regional climate model, a static digital elevation model (DEM), and an ice sheet mask. <br/><br/><br/>A similar dataset has been produced for Helheim Glacier, Greenland and is also available through the US Antarctic Program Data Center. | ["POLYGON((-68.5 -65.25,-67.35 -65.25,-66.2 -65.25,-65.05 -65.25,-63.9 -65.25,-62.75 -65.25,-61.6 -65.25,-60.45 -65.25,-59.3 -65.25,-58.15 -65.25,-57 -65.25,-57 -65.652,-57 -66.054,-57 -66.456,-57 -66.858,-57 -67.25999999999999,-57 -67.66199999999999,-57 -68.064,-57 -68.466,-57 -68.868,-57 -69.27,-58.15 -69.27,-59.3 -69.27,-60.45 -69.27,-61.6 -69.27,-62.75 -69.27,-63.9 -69.27,-65.05 -69.27,-66.2 -69.27,-67.35 -69.27,-68.5 -69.27,-68.5 -68.868,-68.5 -68.466,-68.5 -68.064,-68.5 -67.66199999999999,-68.5 -67.25999999999999,-68.5 -66.858,-68.5 -66.456,-68.5 -66.054,-68.5 -65.652,-68.5 -65.25))"] | ["POINT(-62.75 -67.25999999999999)"] | false | false |
Weddell seal dive behavior and rhythmicity from 2010-2012 in the Ross Sea
|
1853377 0838937 0838892 |
2024-09-20 | Shero, Michelle |
Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea Collaborative Research: Physiological and Genetic Correlates of Reproductive Success in High- versus Low-Quality Weddell seals |
Diel vertical migrations (DVM) have been well-documented across numerous taxa, with prey descend through the water column during daylight hours to avoid visual predators and feed at the surface at night. However, the ability of marine mammals such as Weddell seals (Leptonychotes weddellii) to follow prey to depths is likely constrained by limited breath-hold capacities and the physiological consequences of pushing aerobic thresholds. In particular, dives that exceed the aerobic dive limit require exponentially longer surface recuperation times to clear lactate byproducts from circulation. This is time that the animals then cannot spend foraging. In this study, we assess the circadian organization of the Weddell seal's dive efforts and when animals make their longest/deepest (most 'extreme') dives that far exceed aerobic thresholds. Sixty-two adult Weddell seals were instrumented with satellite linked relay loggers in the Ross Sea to collect behavioral information across the austral winter. Daily activities are likely to shift across the year in a highly-seasonal polar environment, and through this 'natural experiment' we test how free-ranging seals alter foraging behavior during Polar Day and Night (continuous light, LL and dark, DD, respectively) and varying light/dark (LD) cycling across the year. | ["POLYGON((-180 -72,-179.8 -72,-179.6 -72,-179.4 -72,-179.2 -72,-179 -72,-178.8 -72,-178.6 -72,-178.4 -72,-178.2 -72,-178 -72,-178 -72.7,-178 -73.4,-178 -74.1,-178 -74.8,-178 -75.5,-178 -76.2,-178 -76.9,-178 -77.6,-178 -78.3,-178 -79,-178.2 -79,-178.4 -79,-178.6 -79,-178.8 -79,-179 -79,-179.2 -79,-179.4 -79,-179.6 -79,-179.8 -79,180 -79,178.2 -79,176.4 -79,174.6 -79,172.8 -79,171 -79,169.2 -79,167.4 -79,165.6 -79,163.8 -79,162 -79,162 -78.3,162 -77.6,162 -76.9,162 -76.2,162 -75.5,162 -74.8,162 -74.1,162 -73.4,162 -72.7,162 -72,163.8 -72,165.6 -72,167.4 -72,169.2 -72,171 -72,172.8 -72,174.6 -72,176.4 -72,178.2 -72,-180 -72))"] | ["POINT(172 -75.5)"] | false | false |
Impulse HF radar data from Conway Ridge
|
0087144 |
2024-07-22 | Hoffman, Andrew; Conway, Howard; Christianson, Knut |
Glacial History of Ridge AB, West Antarctica |
Marine ice sheets are low-pass filters of climate variability that take centuries to adjust to interior and near-terminus changes in mass balance. Constraining these century-scale changes from satellite observations that span only the last 40 years is challenging. Here, we take a different approach of carefully synthesizing different data sets to infer changes in the configurations of van der Veen and Mercer Ice Streams on the Siple Coast over the past 3000 years from englacial features encoded in ice-penetrating radar data. Englacial radar data from Conway Ridge reveal smooth, surface conformal layers overlying disrupted stratigraphy that suggest the van der Veen Ice Stream was 40 km wider over 3000 years ago. Englacial layer dating indicates that the ice stream narrowed to its present configuration between $\sim3000$ and $\sim1000$ years ago. Similarly disrupted stratigraphy and buried crevasses suggest that ice flowing from Mercer to Whillans Ice Stream across the northwestern tip of the ridge slowed shortly after. Using an ice-flow model capable of simulating shear margin migration, we evaluate whether small changes in ice thickness can lead to large changes in shear margin location. Our results suggest that the tip of Conway Ridge is sensitive to thinning and thickening, and that when the basal strength at the tip of the ridge increases with the height above flotation, the ice sheet shear margins can change quickly. | ["POLYGON((-150 -83.5,-148 -83.5,-146 -83.5,-144 -83.5,-142 -83.5,-140 -83.5,-138 -83.5,-136 -83.5,-134 -83.5,-132 -83.5,-130 -83.5,-130 -83.65,-130 -83.8,-130 -83.95,-130 -84.1,-130 -84.25,-130 -84.4,-130 -84.55,-130 -84.7,-130 -84.85,-130 -85,-132 -85,-134 -85,-136 -85,-138 -85,-140 -85,-142 -85,-144 -85,-146 -85,-148 -85,-150 -85,-150 -84.85,-150 -84.7,-150 -84.55,-150 -84.4,-150 -84.25,-150 -84.1,-150 -83.95,-150 -83.8,-150 -83.65,-150 -83.5))"] | ["POINT(-140 -84.25)"] | false | false |
Hyperspectral reflectance values and biophysicochemical properties of biocrusts and soils in the Fryxell Basin, McMurdo Dry Valleys, Antarctica
|
2044924 |
2024-04-03 | Barrett, John | No project link provided | Microbial communities are the primary drivers of carbon cycling in the McMurdo Dry Valleys of Antarctica. Dense microbial mats, consisting mainly of photosynthetic cyanobacteria, occupy aquatic areas associated with streams and lakes. Other microbial communities also occur at lower densities as patchy surface biological soil crusts (biocrusts) across the terrestrial landscape. Multispectral satellite data have been used to model microbial mat abundance in high-density areas like stream and lake margins, but no previous studies had investigated the lower detection limits of biocrusts. Here, we describe remote sensing and field-based survey and sampling approaches to study the detectability and distribution of biocrusts in the McMurdo Dry Valleys. Using a combination of multi- and hyperspectral tools and spectral linear unmixing, we modeled the abundances of biocrust in eastern Taylor Valley. Our spectral approaches can detect low masses of biocrust material in laboratory microcosms down to biocrust concentrations of 1% by mass. These techniques also distinguish the spectra of biocrust from both surface rock and mineral signatures from orbit. We found that biocrusts are present throughout the soils of eastern Taylor Valley and are associated with diverse underlying soil communities. The densest biocrust communities identified in this study had total organic carbon 5x greater than the content of typical arid soils. The most productive biocrusts were located downslope of melting snowpacks in unique soil ecosystems that are distinct from the surrounding arid landscape. There are similarities between the snowpack and stream sediment communities (high diversity of soil invertebrates) as well as their ecosystem properties (e.g., persistence of liquid water, high transfer of available nutrients, lower salinity from flushing) compared to the typical arid terrestrial ecosystem of the dry valleys. Our approach extends the capability of orbital remote sensing of photosynthetic communities out of the aquatic margins and into the drier soils which comprise most of this landscape. This interdisciplinary work is critical for measuring and monitoring terrestrial carbon stocks and predicting future ecosystem dynamics in this currently water-limited but increasingly dynamic Antarctic landscape, which is particularly climate-sensitive and difficult to access. | ["POLYGON((161.70776367188 -77.519802097166,161.899475097661 -77.519802097166,162.091186523442 -77.519802097166,162.282897949223 -77.519802097166,162.474609375004 -77.519802097166,162.666320800785 -77.519802097166,162.858032226566 -77.519802097166,163.049743652347 -77.519802097166,163.241455078128 -77.519802097166,163.433166503909 -77.519802097166,163.62487792969 -77.519802097166,163.62487792969 -77.54867059480199,163.62487792969 -77.57753909243799,163.62487792969 -77.606407590074,163.62487792969 -77.63527608771,163.62487792969 -77.664144585346,163.62487792969 -77.69301308298199,163.62487792969 -77.72188158061799,163.62487792969 -77.750750078254,163.62487792969 -77.77961857589,163.62487792969 -77.808487073526,163.433166503909 -77.808487073526,163.241455078128 -77.808487073526,163.049743652347 -77.808487073526,162.858032226566 -77.808487073526,162.666320800785 -77.808487073526,162.474609375004 -77.808487073526,162.282897949223 -77.808487073526,162.091186523442 -77.808487073526,161.899475097661 -77.808487073526,161.70776367188 -77.808487073526,161.70776367188 -77.77961857589,161.70776367188 -77.750750078254,161.70776367188 -77.72188158061799,161.70776367188 -77.69301308298199,161.70776367188 -77.664144585346,161.70776367188 -77.63527608771,161.70776367188 -77.606407590074,161.70776367188 -77.57753909243799,161.70776367188 -77.54867059480199,161.70776367188 -77.519802097166))"] | ["POINT(162.666320800785 -77.664144585346)"] | false | false |
Partionining of CERES planetary albedo between atmospheric and surface reflection
|
1643436 |
2022-06-10 | Donohoe, Aaron |
What Processes Drive Southern Ocean Sea Ice Variability and Trends? Insights from the Energy Budget of the Coupled Cryosphere-ocean-atmosphere System |
The partitioning of top of atmosphere radiation into surface and atmospheric contributions using the isotropic SW model over the CERES satellite record | ["POLYGON((-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 90,-180 72,-180 54,-180 36,-180 18,-180 0,-180 -18,-180 -36,-180 -54,-180 -72,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,-180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -90,180 -72,180 -54,180 -36,180 -18,180 0,180 18,180 36,180 54,180 72,180 90,180 90,180 90,180 90,180 90,180 90,180 90,180 90,180 90,180 90,-180 90))"] | ["POINT(0 -89.999)"] | false | false |
Antarctic Firn Brightness Temperatures Measured by AMSR2 and SSMIS (Concordia, Vostok, and the Entire Ice Sheet)
|
1844793 |
2022-03-29 | Aksoy, Mustafa; Kaurejo, Dua; Kar, Rahul |
Characterization of Antarctic Firn by Multi-Frequency Passive Remote Sensing from Space |
This MATLAB dataset includes brightness temperatures measured by AMSR2 and SSMIS from 01/01/2020 to 06/30/2021 over the Concordia and Vostok Stations as well as the entire Antarctic Ice Sheet. Vertically and horizontally polarized GPM SSMIS/AMSR2 common intercalibrated brightness temperatures at 10.65 GHz, 18.7 GHz, 19.35 GHz, 23.8 GHz, 36.5 GHz, 37 GHz, 89 GHz, and 91.655 GHz averaged over 0.25-degree x 0.25-degree grid cells are stored. In addition, AMSR2 measurements at 6.9 GHz and 7.3 GHz in both polarizations are included. Please read the text file “satData_readMe.txt” for more details. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Landfast ice: a major driver of reproductive success in a polar seabird
|
1744794 |
2022-01-24 | Jenouvrier, Stephanie; Labrousse, Sara |
A Multi-scale Approach to Understanding Spatial and Population Variability in Emperor Penguins A Multi-scale Approach to Understanding Spatial and Population Variability in Emperor Penguins |
In a fast-changing world, polar ecosystems are threatened by climate variability. Understanding the roles of fine-scale processes, and linear and nonlinear effects of climate factors on the demography of polar species is crucial for anticipating the future state of these fragile ecosystems. While the effects of sea ice on polar marine top predators are increasingly being studied, little is known about the impacts of landfast ice (LFI) on this species community. Based on a unique 39-year time series of satellite imagery and in situ meteorological conditions and on the world’s longest dataset of emperor penguin (Aptenodytes forsteri) breeding parameters, we studied the effects of fine-scale variability of LFI andweather conditions on this species’ reproductive success. We found that longer distances to the LFI edge (i.e. foraging areas) negatively affected the overall breeding success but also the fledging success. Climate window analyses suggested that chick mortality was particularly sensitive to LFI variability between August and November. Snowfall in May also affected hatching success. Given the sensitivity of LFI to storms and changes in wind direction, important future repercussions on the breeding habitat of emperor penguins are to be expected in the context of climate change. These files contain the code and data from this manuscript. | [] | [] | false | false |
Circum-Antarctic grounding-line sinuosity
|
1246353 1745055 1745043 |
2021-11-10 | Simkins, Lauren; Stearns, Leigh; Riverman, Kiya |
Evidence for Paleo Ice Stream Collapse in the Western Ross Sea since the Last Glacial Maximum. Collaborative Research: Topographic controls on Antarctic Ice Sheet grounding line retreat - integrating models and observations |
The dataset here allows exploration of the causes and significance of Antarctic grounding-line sinuosity by coupling observations of contemporary Antarctic grounding lines and paleo-grounding lines expressed as ice-marginal landforms on the Ross Sea continental shelf. Modern grounding lines are derived from the MEaSUREs Version 2 Differential Satellite Radar Interferometry dataset with spatial resolutions of 25-120 m spanning February 1992 to December 2014 (Rignot et al., 2016; Mouginot et al., 2017). The boundaries of individual grounding lines representative of individual glacial catchments (n=664) were delineated by the inflection points of the shear strain rate, εxy (c.f Van der Veen et al., 2011). Sinuosity was calculated as the ratio of the true length, orthogonal to ice-flow direction, of the grounding lines and the straight line length between end-points and in units of km/km. Raster data were extracted at 1-km points along each grounding line; the mean was calculated for each grounding line and merged in a table with sinuosity data. A dataset of 6,275 paleo-grounding lines expressed as ice-marginal landforms on the deglaciated western Ross Sea continental shelf are used in this study, originally published by Simkins et al., 2018. The ice-marginal landforms were mapped from multibeam echo sounder data that was collected onboard the RVIB Nathaniel B. Palmer (NBP) 15-02 cruise using a Kongsberg EM122 operating in dual swath mode at 12 kHz frequency with 30-60% swath overlap (Cruise DOI: 10.7284/901477). The resulting bathymetry data was gridded at 20-40 m with decimeter vertical elevation resolution depending on water depth and sea-state. Sinuosity is calculated as a ratio of true (mapped) landform length, measured in the across paleo-ice flow direction at the crest of the landform, to the straight line distance between the mapped landform endpoints and in units of km/km. To compare modern and paleo-grounding lines, we use a consistent length scale by segmenting the grounding lines into 2-km sections for the two datasets (modern, n=12,966; paleo, n=5,832), even though this eliminates grounding lines that are less than 2-km long and thus results in 1 modern and 3,873 paleo-grounding lines removed. The full-length and 2-km segmented groundings lines are provided as shapefiles "InSAR_groundinglines_full" and "InSAR_groundinglines_2km", the paleo-grounding lines are provided as shapefiles "RossSea_icemarginal_full" and "RossSea_icemarginal_2km", and points marking modern grounding lines retreat from repeat InSAR surveys are provided as shapefile "InSAR_retreat_points", all stored together in a geodatabase named "Antarctic_groundinglines.gbd". Additional grounding line metrics, including length, sinuosity, bed roughness, and bed slope for modern and paleo-grounding lines, and height-above-buoyancy gradient, ice-flow velocity, presence of pinning points and ice shelves are provided for modern grounding lines. The published dataset was compiled and analyzed in the article "Controls on circum-Antarctic grounding-line sinuosity " by Simkins, L.M., Stearns, L.A., and Riverman, K.L, which will be submitted to a peer-review journal in November 2021. References Mouginot, J., B. Scheuchl, and E. Rignot. 2017. MEaSUREs Antarctic Boundaries for IPY 2007-2009 from Satellite Radar, Version 2. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. Rignot, E., J. Mouginot, and B. Scheuchl. 2016. MEaSUREs Antarctic Grounding Line from Differential Satellite Radar Interferometry, Version 2. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. Simkins, L. M., Greenwood, S. L., & Anderson, J. B. (2018). Diagnosing ice sheet grounding line stability from landform morphology. The Cryosphere, 12(8), 2707-2726. Van der Veen, C. J., J. C. Plummer, & L. A. Stearns. (2011). Controls on the recent speed up of Jakobshavn Isbræ, West Greenland. Journal of Glaciology, 57(204), 770-782 | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Antarctic Ice Thickness, Slipperiness, and Subglacial Lake Locations
|
None | 2021-08-13 | Stubblefield, Aaron; Kingslake, Jonathan; Siegfried, Matthew; Arthern, Robert | No project link provided | This data set contains (1) ice thickness (H) and basal sliding coefficient (beta) maps for the Antarctic Ice Sheet from Arthern et al. (2015) "Flow speed within the Antarctic ice sheet and its controls inferred from satellite observations", and (2) Antarctic subglacial lake locations and estimated sizes from Siegfried and Fricker (2018) "Thirteen years of subglacial lake activity in Antarctica from multi-mission satellite altimetry". Data are in zarr (thickness and sliding coefficient maps) and ASCII (lake locations and sizes) formats. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Antarctic passive microwave Kmeans derived surface melt days, 1979-2020
|
1543432 |
2021-06-22 | Johnson, Andrew; Hock, Regine; Fahnestock, Mark |
Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model |
This dataset contains the total number of days per year with meltwater present at the surface across the Antarctic ice sheet and surrounding ice shelves derived from passive microwave satellite observations for each melt year from 1979/80 to 2019/20. This data comes from daily and near-daily SMMR, SSM/I, and SSMIS results at 25 km resolution at 19 GHz horizontal polarization. Each melt year starts on July 1 and ends June 30. The melt detection algorithm is described in Johnson and others (2020) and uses KMeans clustering analysis of the annual brightness temperature time series on each pixel to detect melt for that pixel and year. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Antarctic Active Subglacial Lake Inventory from ICESat Altimetry
|
0636719 0636970 |
2021-04-21 | Smith, Ben; Joughin, Ian; Tulaczyk, Slawek; Fricker, Helen |
Collaborative Research: Elevation Change Anomalies in West Antarctica and Dynamics of Subglacial Water Transport Beneath Ice Streams and their Tributaries |
This data set contains lake boundaries, volume changes, and gridded elevations for 124 active subglacial lakes beneath the Antarctic ice sheet. Lakes were identified using laser altimetry data obtained from 2003 to 2009 by NASA's Ice, Cloud, and Land Elevation Satellite (ICESat) mission. The data are provided in Keyhole Markup Language (KML), comma-separated values (CSV), and GEOTiff formats. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
MOA-derived Structural Feature Map of the Ross Ice Shelf
|
0440670 |
2021-02-19 | Hulbe, Christina; Ledoux, Christine; Forbes, Martin |
Collaborative Research: Using Fracture Patterns and Ice Thickness to Study the History and Dynamics of Grounding Line Migration and Shutdown of Kamb and Whillans Ice Streams |
The surface of the Ross Ice Shelf (RIS) is textured by flow stripes, crevasses and other fea- tures related to ice flow and deformation. Here, moderate resolution optical satellite images are used to map and classify regions of the RIS characterized by different surface textures. Because the textures arise from ice deformation, the map is used to identify structural provinces with common deformation history. We classify four province types: regions associated with large outlet glaciers, shear zones, exten- sion downstream of obstacles and suture zones between provinces with different upstream sources. Adjacent provinces with contrasting histories are in some locations deforming at different rates, suggest- ing that our province map is also an ice fabric map. Structural provinces have more complicated shapes in the part of the ice shelf fed by West Antarctic ice streams than in the part fed by outlet glaciers from the Transantarctic Mountains. The map may be used to infer past variations in stress conditions and flow events that cannot be inferred from flow traces alone. | ["POLYGON((-180 -77,-177 -77,-174 -77,-171 -77,-168 -77,-165 -77,-162 -77,-159 -77,-156 -77,-153 -77,-150 -77,-150 -77.9,-150 -78.8,-150 -79.7,-150 -80.6,-150 -81.5,-150 -82.4,-150 -83.3,-150 -84.2,-150 -85.1,-150 -86,-153 -86,-156 -86,-159 -86,-162 -86,-165 -86,-168 -86,-171 -86,-174 -86,-177 -86,180 -86,177.5 -86,175 -86,172.5 -86,170 -86,167.5 -86,165 -86,162.5 -86,160 -86,157.5 -86,155 -86,155 -85.1,155 -84.2,155 -83.3,155 -82.4,155 -81.5,155 -80.6,155 -79.7,155 -78.8,155 -77.9,155 -77,157.5 -77,160 -77,162.5 -77,165 -77,167.5 -77,170 -77,172.5 -77,175 -77,177.5 -77,-180 -77))"] | ["POINT(-177.5 -81.5)"] | false | false |
Supraglacial Lakes in Antarctica
|
1643715 |
2020-12-10 | Moussavi, Mahsa; Pope, Allen; Trusel, Luke; Abdalati, Waleed; Halberstadt, Anna Ruth |
Collaborative Research: Water on the Antarctic Ice Sheet: Quantifying Surface Melt and Mapping Supraglacial Lakes |
This dataset contains extents and depths of supraglacial lakes on ice shelves across the Antarctic ice sheet, mapped from Landsat 8 imagery collected over the 2013-2020 period. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture
|
1743310 |
2020-10-24 | Lai, Ching-Yao |
Satellite observations and modelling of surface meltwater flow and its impact on ice shelves |
This data set contains the results presented in Lai et al. (2020), including; the 125m-resolution fracture map, the spatial distribution of fracture depths and the required initial flaw size for hydrofracture, which is calculated using linear elastic fracture mechanics (LEFM) according to the ice-shelf stress fields and thickness. The dimensionless stress (Rxx_bar, defined in Lai et al. (2020)) governs how fractures behave. Using a dimensionless stress criteria we have determined which ice-shelf areas are vulnerable to hydrofracture if inundated with melt water (Rxx_bar >Rxx*_bar). | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Raw satellite images from NB Palmer and LM Gould Antarctic cruises
|
None | 2020-05-04 | None | No project link provided | Raw Satellite Images acquired during several Nathaniel B. Palmer and LM Gould expeditions. These are mostly downloaded during the cruises, often directly using the ships satellite receiver (TerraSat system). The data include visible and infrared images. They are organized by expedition. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Bottom Photographs from the Antarctic Peninsula acquired during R/V Laurence M. Gould expedition LMG1703
|
1558448 1341496 |
2020-04-30 | Girton, James |
Collaborative Research: Pathways of Circumpolar Deep Water to West Antarctica from Profiling Float and Satellite Measurements |
This data set was acquired with a Nikon Camera on a towed YoYo camera platform during R/V Laurence M. Gould expedition LMG1703 conducted in 2017. The data are on Jpeg format | ["POLYGON((-65 -62,-64.55 -62,-64.1 -62,-63.65 -62,-63.2 -62,-62.75 -62,-62.3 -62,-61.85 -62,-61.4 -62,-60.95 -62,-60.5 -62,-60.5 -62.35,-60.5 -62.7,-60.5 -63.05,-60.5 -63.4,-60.5 -63.75,-60.5 -64.1,-60.5 -64.45,-60.5 -64.8,-60.5 -65.15,-60.5 -65.5,-60.95 -65.5,-61.4 -65.5,-61.85 -65.5,-62.3 -65.5,-62.75 -65.5,-63.2 -65.5,-63.65 -65.5,-64.1 -65.5,-64.55 -65.5,-65 -65.5,-65 -65.15,-65 -64.8,-65 -64.45,-65 -64.1,-65 -63.75,-65 -63.4,-65 -63.05,-65 -62.7,-65 -62.35,-65 -62))"] | ["POINT(-62.75 -63.75)"] | false | false |
Location of surface crevasses in Antarctica
|
None | 2018-09-05 | Emetc, Veronika | No project link provided | In this data set we present observations of locations of surface crevasses in Antarctica collected from satellite images for the period between 2011 and 2015 for 46 ice shelf regions. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Antarctic MIZ, Pack Ice and Polynya Maps from Passive Microwave Satellite Data
|
1341547 |
2018-08-31 | Stroeve, Julienne |
Collaborative Research: Phytoplankton Phenology in the Antarctic: Drivers, Patterns, and Implications for the Adelie Penguin |
Sea ice variability within the marginal ice zone (MIZ) and polynyas plays an important role for phytoplankton productivity and krill abundance. Therefore, mapping their spatial extent, seasonal and interannual variability is essential for understanding how current and future changes in these biologically active regions may impact the Antarctic marine ecosystem. Knowledge of the distribution of MIZ, consolidated pack ice and coastal polynyas to the total Antarctic sea ice cover may also help to shed light on the factors contributing towards recent expansion of the Antarctic ice cover in some regions and contraction in others. The long-term passive microwave 21 satellite data record provides the longest and most consistent record for assessing the proportion of the sea ice cover that is covered by each of these ice categories. This data set provides estimates of the MIZ, consolidated pack ice and polynyas from the NASA Team and Bootstrap sea ice concentration data sets, from 1979 to 2017. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Satellite tracks of Black-browed Albatross in the Southern Indian Ocean
|
1142084 |
2018-04-11 | Losekoot, Marcel; Nevitt, Gabrielle |
Applying High-resolution GPS Tracking to Characterize Sensory Foraging Strategies of the Black-browed Albatross, a Top Predator of the Southern Ocean Ecosystem |
This dataset was recorded from tags fitted to Black-browed Albatross from the breeding colony called "Canon des Sourcils Noirs", on Kerguelen Island, located at 70.2433E, -49.6875S. The dataset contains the following items: 1. GPS locations (lat,lon) and timestamps at local time (GMT-5) 2. Timestamped stomach temperature measurements. | ["POLYGON((40 -25,46 -25,52 -25,58 -25,64 -25,70 -25,76 -25,82 -25,88 -25,94 -25,100 -25,100 -29,100 -33,100 -37,100 -41,100 -45,100 -49,100 -53,100 -57,100 -61,100 -65,94 -65,88 -65,82 -65,76 -65,70 -65,64 -65,58 -65,52 -65,46 -65,40 -65,40 -61,40 -57,40 -53,40 -49,40 -45,40 -41,40 -37,40 -33,40 -29,40 -25))"] | ["POINT(70 -45)"] | false | false |
Shortwave Spectroradiometer Data from Ross Island, Antarctica
|
1141939 |
2017-12-12 | Lubin, Dan |
Antarctic Cloud Physics: Fundamental Observations from Ross Island |
In this project we made fundamental measurements of cloud optical and microphysical properties at Ross Island, Antarctica, using a versatile shortwave spectroradiometer (Panalytical, Inc.) acquired for atmospheric field research by the Scripps Institution of Oceanography (SIO). This instrument measures downwelling spectral irradiance at the Earth surface in the wavelength interval 350-2200 nm. From this data set one can retrieve properties of coastal Antarctic stratiform clouds including optical depth, thermodynamic phase, liquid water droplet effective radius, and ice cloud effective particle size. The instrument was installed at Arrival Heights, and measurements were made from 10 October 2012 to 4 February 2013. Spectral data recorded in one-minute averages, with some gaps for instrument maintenance and data backup, and some occasional down time when the site was inaccessible. Active satellite remote sensing data (CloudSat and CALIPSO) were used for validation and interpretation of the spectroradiometer retrievals (Scott and Lubin 2014). <br><br>There are two reasons why this measurement program remains timely. One straightforward reason involves the location of McMurdo Station, which is the US Antarctic Programs air transport entry point to the continent. Improvements in our knowledge of atmospheric physics in this region can eventually lead to improvements in numerical weather forecasting relevant to aviation. A second reason involves the recent advances in cloud microphysics for global climate model simulation. Mixed-phase cloud parameterizations have become very sophisticated, requiring validation with each new improvement. Traditional observational test cases - from the Arctic or mid-latitude storm systems - are often quite complex. A coastal Antarctic site at very high latitudes can provide more straightforward cases for testing current microphysical parameterizations. Over Ross Island aerosol and cloud nucleation sources are essentially all natural and oceanic, and cloud geometry is simple, while at the same time there is abundant supercooled cloud liquid water. <br><br>Ancillary meteorological data from the McMurdo Weather Office are also included here for help in interpreting the spectroradiometer data, including rawinsonde profiles, surface weather observations from the active ice runway, and automated FMQ19 surface weather measurements from Williams Field and Pegasus runway. For interpretation of clear sky or nearly cloud-free irradiance spectra (i.e., when a large fraction of the irradiance is directional from the Sun and not diffused by clouds), we recommend consulting Meywerk and Ramanathan (1999) for information about the Panalytical instruments cosine response. | ["POLYGON((166.31 -77.5203,166.38265 -77.5203,166.4553 -77.5203,166.52795 -77.5203,166.6006 -77.5203,166.67325 -77.5203,166.7459 -77.5203,166.81855 -77.5203,166.8912 -77.5203,166.96385 -77.5203,167.0365 -77.5203,167.0365 -77.52527,167.0365 -77.53024,167.0365 -77.53521,167.0365 -77.54018,167.0365 -77.54515,167.0365 -77.55012,167.0365 -77.55509,167.0365 -77.56006,167.0365 -77.56503,167.0365 -77.57,166.96385 -77.57,166.8912 -77.57,166.81855 -77.57,166.7459 -77.57,166.67325 -77.57,166.6006 -77.57,166.52795 -77.57,166.4553 -77.57,166.38265 -77.57,166.31 -77.57,166.31 -77.56503,166.31 -77.56006,166.31 -77.55509,166.31 -77.55012,166.31 -77.54515,166.31 -77.54018,166.31 -77.53521,166.31 -77.53024,166.31 -77.52527,166.31 -77.5203))"] | ["POINT(166.67325 -77.54515)"] | false | false |
Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins
|
1043554 |
2016-11-09 | Willenbring, Jane |
Collaborative Research: Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins |
The PIs propose to address the question of whether ice surface melting zones developed at high elevations during warm climatic phases in the Transantarctic Mountains. Evidence from sediment cores drilled by the ANDRILL program indicates that open water in the Ross Sea could have been a source of warmth during Pliocene and Pleistocene. The question is whether marine warmth penetrated inland to the ice sheet margins. The glacial record may be ill suited to answer this question, as cold-based glaciers may respond too slowly to register brief warmth. Questions also surround possible orbital controls on regional climate and ice sheet margins. Northern Hemisphere insolation at obliquity and precession timescales is thought to control Antarctic climate through oceanic or atmospheric connections, but new thinking suggests that the duration of Southern Hemisphere summer may be more important. The PIs propose to use high elevation alluvial deposits in the Transantarctic Mountains as a proxy for inland warmth. These relatively young fans, channels, and debris flow levees stand out as visible evidence for the presence of melt water in an otherwise ancient, frozen landscape. Based on initial analyses of an alluvial fan in the Olympus Range, these deposits are sensitive recorders of rare melt events that occur at orbital timescales. For their study they will 1) map alluvial deposits using aerial photography, satellite imagery and GPS assisted field surveys to establish water sources and to quantify parameters effecting melt water production, 2) date stratigraphic sequences within these deposits using OSL, cosmogenic nuclide, and interbedded volcanic ash chronologies, 3) use paired nuclide analyses to estimate exposure and burial times, and rates of deposition and erosion, and 4) use micro and regional scale climate modeling to estimate paleoenvironmental conditions associated with melt events. This study will produce a record of inland melting from sites adjacent to ice sheet margins to help determine controls on regional climate along margins of the East Antarctic Ice Sheet to aid ice sheet and sea level modeling studies. The proposal will support several graduate and undergraduates. A PhD student will be supported on existing funding. The PIs will work with multiple K-12 schools to conduct interviews and webcasts from Antarctica and they will make follow up visits to classrooms after the field season is complete. | ["POINT(161.5 -77.5)"] | ["POINT(161.5 -77.5)"] | false | false |
Integrative Study of Marine Ice Sheet Stability and Subglacial Life Habitats in W Antarctica - Lake and Ice Stream Subglacial Access Research Drilling (LISSARD)
|
0839059 |
2016-01-01 | Powell, Ross |
Collaborative Research: Integrative Study of Marine Ice Sheet Stability & Subglacial Life Habitats in W Antarctica - Lake & Ice Stream Subglacial Access Research Drilling (LISSARD) |
The LISSARD project (Lake and Ice Stream Subglacial Access Research Drilling) is one of three research components of the WISSARD integrative initiative (Whillans Ice Stream Subglacial Access Research Drilling) that is being funded by the Antarctic Integrated System Science Program of NSF's Office of Polar Programs, Antarctic Division. The overarching scientific objective of WISSARD is to assess the role of water beneath a West Antarctic ice stream in interlinked glaciological, geological, microbiological, geochemical, and oceanographic systems. The LISSARD component of WISSARD focuses on the role of active subglacial lakes in determining how fast the West Antarctic ice sheet loses mass to the global ocean and influences global sea level changes. The importance of Antarctic subglacial lakes has only been recently recognized, and the lakes have been identified as high priority targets for scientific investigations because of their unknown contributions to ice sheet stability under future global warming scenarios. LISSARD has several primary science goals: A) To provide an observational basis for improving treatments of subglacial hydrological and mechanical processes in models of ice sheet mass balance and stability; B) To reconstruct the past history of ice stream stability by analyzing archives of past basal water and ice flow variability contained in subglacial sediments, porewater, lake water, and basal accreted ice; C) To provide background understanding of subglacial lake environments to benefit RAGES and GBASE (the other two components of the WISSARD project); and D) To synthesize data and concepts developed as part of this project to determine whether subglacial lakes play an important role in (de)stabilizing Antarctic ice sheets. We propose an unprecedented synthesis of approaches to studying ice sheet processes, including: (1) satellite remote sensing, (2) surface geophysics, (3) borehole observations and measurements and, (4) basal and subglacial sampling. The latest report of the Intergovernmental Panel on Climate Change recognized that the greatest uncertainties in assessing future global sea-level change stem from a poor understanding of ice sheet dynamics and ice sheet vulnerability to oceanic and atmospheric warming. Disintegration of the WAIS (West Antarctic Ice Sheet) alone would contribute 3-5 m to global sea-level rise, making WAIS a focus of scientific concern due to its potential susceptibility to internal or ocean-driven instability. The overall WISSARD project will test the overarching hypothesis that active water drainage connects various subglacial environments and exerts major control on ice sheet flow, geochemistry, metabolic and phylogenetic diversity, and biogeochemical transformations. Societal Relevance: Global warming, melting of ice sheets and consequential sea-level rise are of high societal relevance. Science Resource Development: After a 9-year hiatus WISSARD will provide the US-science community with a renewed capability to access and study sub-ice sheet environments. Developing this technological infrastructure will benefit the broader science community and assets will be accessible for future use through the NSF-OPP drilling contractor. Furthermore, these projects will pioneer an approach implementing recommendations from the National Research Council committee on Principles of Environmental Stewardship for the Exploration and Study of Subglacial Environments (2007). Education and Outreach (E/O): These activities are grouped into four categories: i) increasing student participation in polar research by fully integrating them in our research programs; ii) introducing new investigators to the polar sciences by incorporating promising young investigators in our programs, iii) promotion of K-12 teaching and learning programs by incorporating various teachers and NSTA programs, and iv) reaching a larger public audience through such venues as popular science magazines, museum based activities and videography and documentary films. In summary, WISSARD will promote scientific exploration of Antarctica by conveying to the public the excitement of accessing and studying what may be some of the last unexplored aquatic environments on Earth, and which represent a potential analogue for extraterrestrial life habitats on Europa and Mars. | ["POLYGON((-168.7 -82.3,-168.69 -82.3,-168.68 -82.3,-168.67 -82.3,-168.66 -82.3,-168.65 -82.3,-168.64 -82.3,-168.63 -82.3,-168.62 -82.3,-168.61 -82.3,-168.6 -82.3,-168.6 -82.31,-168.6 -82.32,-168.6 -82.33,-168.6 -82.34,-168.6 -82.35,-168.6 -82.36,-168.6 -82.37,-168.6 -82.38,-168.6 -82.39,-168.6 -82.4,-168.61 -82.4,-168.62 -82.4,-168.63 -82.4,-168.64 -82.4,-168.65 -82.4,-168.66 -82.4,-168.67 -82.4,-168.68 -82.4,-168.69 -82.4,-168.7 -82.4,-168.7 -82.39,-168.7 -82.38,-168.7 -82.37,-168.7 -82.36,-168.7 -82.35,-168.7 -82.34,-168.7 -82.33,-168.7 -82.32,-168.7 -82.31,-168.7 -82.3))"] | ["POINT(-168.65 -82.35)"] | false | false |
Tomographic Imaging of the Velocity and Magnetic Fields in the Sun's Atmosphere
|
0632399 |
2016-01-01 | Jefferies, Stuart M. |
Tomographic Imaging of the Velocity and Magnetic Fields in the Sun's Atmosphere |
The ultimate goal of this project is to determine the structure and dynamics of the Sun's atmosphere, assess the role of MHD waves in heating the chromosphere/corona and driving the solar wind, and better understand how the Sun's atmosphere couples to the solar interior. As the solar atmosphere is 'home' to many of the solar phenomena that can have a direct impact on the biosphere, including flares, coronal mass ejections, and the solar wind, the broader impact of such studies is that they will lead to an improved understanding of the Sun-Earth connection. Under the current award we have developed a suite of instruments that can simultaneously image the line-of-sight Doppler velocity and longitudinal magnetic field at four heights in the solar atmosphere at high temporal cadence. The instruments use magneto-optical filters (see Cacciani, Moretti and Rodgers, Solar Physics 174, p.115, 2004) tuned to the solar absorption lines at 422 nm (Ca I), 589 nm (Na D2), 770 nm (K) and 1083 nm (He). These lines sample the solar atmosphere from the mid-photosphere to the high-chromosphere. A proof-of-concept run was made in the Austral summer of 2007/2008 using the Na and K versions of the instruments. Here we recorded over 40 hours of full-disk, intensity images of the Sun in the red and blue wings of the Na and K Fraunhofer lines, in both right- and left-circularly polarized light. The images were obtained at a rate of one every five seconds with a nominal spatial resolution of 4 arc-seconds. The run started at 09:44 UT on February 2, 2008 and ended at 03:30 UT on February 4, 2008. Data Quality Assessment: The temperature controls of the instrument housings were unable to fully compensate for the harse Antartic winds encountered during the observing run. This led to large (~15 C) temperature swings which adversely affected the instruments (and thus data quality) in two ways: 1) Crystals of Na and K were deposited on the magneto-optical filter windows leading to "hot spots" in the images. These "hot spots" come and go with time as the temperature changes. 2) The changing temperature caused the optical rails to contract and expand causing the final images to go in- and out-of-focus, thus reducing the resolution to greater than 4 arc-seconds. Both these effect are worse in the K data. Despite these problems, the intensity images can be combined to provide magnetic images that show a very high sensitivity (< 5 Gauss in a 5 second integration). Data Description: The raw data are stored as a series of 1024x1024x4 FITS images. The format is: blue image (left circulary polarized light), blue image (right circularly polarized light), red image (left circulary polarized light), red image (right circularly polarized light). The naming convention for the images is: Type_Instrument_Day_hour_minutes_seconds where Type is I (intensity), F (flatfield), D (dark) Instrument is 0 (Na), 1 (K) Day is the day number from the beginning of the year where January 1 is day 0 For example, I_0_32_12_34_40.fits is an intensity image taken with the Na instrument at 12:34.40 UT on February 2, 2008. Notes: 1) The flatfield images were acquired by moving a diffuser in front of the Sun during the integration. The resulting images therefore have to be corrected for residual low-spatial frequencies due to the non-flat nature of the light source. 2) Each FITS file header contains a variety of information on the observation, e.g., F_CNTO : number of summed frames in each 5 second integration (*) FPS : Camera frame rate (Frames Per Second) FLIP : Rate at which the half-wave rotator (magnetic switch) was switched INT_PER : Integration time (in seconds) MOF : Temperature of magneto-optical filter cell WS : Temperature of wing selector cell TEMP_0 : Temperature of camera 0 TEMP_1 : Temperature of camera 1 TEMP_2 : Temperature inside instrument (location 1) TEMP_3 : Temperature of narrowband filter TEMP_5 : Temperature of magnets surrounding MOF cell TEMP_6 : Temperature inside instrument (location 2) TEMP_7 : Temperature of housing for magnetic switch (*) This is the frame count for the camera. The number of frames in each image for the two different polarization states, is half this number. The measured temperatures are only coarse measurements. 3) Due to reflection in the final polarizing beam splitter (which separates the "red" and "blue" signals into the two cameras), the camera 1 data need to "reversed" along the x-axis (i.e. listed as [1024:1] instead of [1:1024]) 4) Line-of-sight velocity and magnetic field images are generated from the observed intensity images. Doppler images as (red-blue)/(red+blue), magnetic images as the difference between the Doppler images for right- and left-circularly polarized light. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Linking the Movement Patterns and Foraging Behavior of Humpback Whales to their Prey across Multiple Spatial Scales within the LTER Study Region
|
1250208 |
2016-01-01 | Friedlaender, Ari; Johnston, David; Nowacek, Douglas |
RAPID: Linking the Movement Patterns and Foraging Behavior of Humpback Whales to their Prey across Multiple Spatial Scales within the LTER Study Region |
Whales play a central role in the ecology and biogeochemistry of the Southern Ocean. However, little is known regarding their distribution and behavior, in part because of challenges associated with studying these organisms from large research vessels. This research will take advantage of the unique opportunity presented by the 2012-2013 test run of the smaller, more mobile R/V Point Sur. This work will use the Point Sur to investigate humpback whales in the waters studied by the Palmer Long Term Ecological Research (LTER) Station off the Western Antarctic Peninsula (WAP). Employing a combination of long-term satellite-linked tags and short-term suction cup tags, researchers will investigate the distribution, abundance and foraging behaviors of whales in this region. Whale biogeography will then be related to quantitative surveys of krill, their primary food source. Hypotheses regarding whale distribution and foraging strategies as well as physical oceanographic features will be tested. The WAP is undergoing some of the most dramatic warming on the planet, and a better understanding of the ecology of top predators is central to developing an understanding of the impacts of this change. Results will be widely disseminated through publications as well as through presentations at national and international meetings. In addition, raw data will be made available through open-access databases. Finally, this work will be coordinated with the extensive infrastructure of the Palmer LTER site, enabling outreach and educational activities. | ["POLYGON((-80 -63,-78 -63,-76 -63,-74 -63,-72 -63,-70 -63,-68 -63,-66 -63,-64 -63,-62 -63,-60 -63,-60 -63.7,-60 -64.4,-60 -65.1,-60 -65.8,-60 -66.5,-60 -67.2,-60 -67.9,-60 -68.6,-60 -69.3,-60 -70,-62 -70,-64 -70,-66 -70,-68 -70,-70 -70,-72 -70,-74 -70,-76 -70,-78 -70,-80 -70,-80 -69.3,-80 -68.6,-80 -67.9,-80 -67.2,-80 -66.5,-80 -65.8,-80 -65.1,-80 -64.4,-80 -63.7,-80 -63))"] | ["POINT(-70 -66.5)"] | false | false |
Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs
|
1043580 |
2016-01-01 | Reusch, David |
Collaborative Research: Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
The presence of ice ponds from surface melting of glacial ice can be a significant threshold in assessing the stability of ice sheets, and their overall response to a warming climate. Snow melt has a much reduced albedo, leading to additional seasonal melting from warming insolation. Water run-off not only contributes to the mass loss of ice sheets directly, but meltwater reaching the glacial ice bed may lubricate faster flow of ice sheets towards the ocean. Surficial meltwater may also reach the grounding lines of glacial ice through the wedging open of existing crevasses. The occurrence and amount of meltwater refreeze has even been suggested as a paleo proxy of near-surface atmospheric temperature regimes. Using contemporary remote sensing (microwave) satellite assessment of surface melt occurrence and extent, the predictive skill of regional meteorological models and reanalyses (e.g. WRF, ERA-Interim) to describe the synoptic conditions favourable to surficial melt is to be investigated. Statistical approaches and pattern recognition techniques are argued to provide a context for projecting future ice sheet change. The previous Intergovernmental Panel on Climate Change (IPCC AR4) commented on our lack of understanding of ice-sheet mass balance processes in polar regions and the potential for sea-level change. The IPPC suggested that the forthcoming AR5 efforts highlight regional cryosphere modeling efforts, such as is proposed here. | ["POLYGON((-180 -47,-144 -47,-108 -47,-72 -47,-36 -47,0 -47,36 -47,72 -47,108 -47,144 -47,180 -47,180 -51.3,180 -55.6,180 -59.9,180 -64.2,180 -68.5,180 -72.8,180 -77.1,180 -81.4,180 -85.7,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.7,-180 -81.4,-180 -77.1,-180 -72.8,-180 -68.5,-180 -64.2,-180 -59.9,-180 -55.6,-180 -51.3,-180 -47))"] | ["POINT(0 -89.999)"] | false | false |
Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations
|
1141973 |
2016-01-01 | Tedesco, Marco |
Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations |
This award supports a project to generate first-time validated enhanced spatial resolution (5-10 km) maps of surface melting over the Antarctic Peninsula for the period 1958 - to date from the outputs of a regional climate model and different downscaling techniques. These maps will be assessed and validated through new high spatial resolution (2.25 km) surface melting maps obtained from the QuikSCAT satellite for the period 1999 - 2009. The intellectual merit of this work is that it would be the first time that the outputs of a regional climate model would be used to study surface melting over Antarctica at such high spatial resolution and the first time that such results are validated by means of an observational tool that has such a large spatial coverage and high spatial resolution. The results generated in this study would also provide a first-time opportunity to study the melt distribution over the Peninsula and its correlation with climate drivers, such as the Southern Annual Mode (SAM) and the El Nino-Southern Oscillation (ENSO) at these unprecedented spatial scales. The enhanced resolution melting maps will also offer a unique opportunity to study melting trends and patterns over specific regions of the Peninsula, such as the Wilkins and the Larsen A and B ice shelves and evaluate whether the extreme melting observed during the recent collapses was unprecedented over the + 50 years. The broader impacts of the project are that it will integrate research and education by fully supporting one female undergrad student, a PhD student and partially supporting a PostDoc. The work will be done at a minority-serving institution and the PhD student who worked on the development of the high-resolution melting data set from QuikSCAT will become the PostDoc who will work on this project. Teaching and learning will be supported by incorporating research results into graduate and undergrad level courses and will be disseminated over the web and through appropriate channels. Results from this project will also benefit the society at large as they will improve our understanding of the links between atmospheric patterns and surface melting and they will contribute to improving estimates of sea level rise from the Antarctica continent. | ["POLYGON((-94.7374 -56.9464,-89.23679 -56.9464,-83.73618 -56.9464,-78.23557 -56.9464,-72.73496 -56.9464,-67.23435 -56.9464,-61.73374 -56.9464,-56.23313 -56.9464,-50.73252 -56.9464,-45.23191 -56.9464,-39.7313 -56.9464,-39.7313 -59.19838,-39.7313 -61.45036,-39.7313 -63.70234,-39.7313 -65.95432,-39.7313 -68.2063,-39.7313 -70.45828,-39.7313 -72.71026,-39.7313 -74.96224,-39.7313 -77.21422,-39.7313 -79.4662,-45.23191 -79.4662,-50.73252 -79.4662,-56.23313 -79.4662,-61.73374 -79.4662,-67.23435 -79.4662,-72.73496 -79.4662,-78.23557 -79.4662,-83.73618 -79.4662,-89.23679 -79.4662,-94.7374 -79.4662,-94.7374 -77.21422,-94.7374 -74.96224,-94.7374 -72.71026,-94.7374 -70.45828,-94.7374 -68.2063,-94.7374 -65.95432,-94.7374 -63.70234,-94.7374 -61.45036,-94.7374 -59.19838,-94.7374 -56.9464))"] | ["POINT(-67.23435 -68.2063)"] | false | false |
Long-Term and Interannual Variability of Antarctic Ice Sheet Mass Balance From Satellite Gravimetry and Other Geodetic Measurements
|
1043750 |
2016-01-01 | Chen, Jianli |
Collaborative Research: Long-Term and Interannual Variability of Antarctic Ice Sheet Mass Balance From Satellite Gravimetry and Other Geodetic Measurements |
This award supports a project to improve the estimate of long-term and inter-annual variability of Antarctic ice sheet mass balance at continental, regional, and catchment scales, using satellite gravity measurements from the Gravity Recovery and Climate Experiment (GRACE) and other geodetic measurements. The work will improve the quantification of long-term mass change rates over Antarctica using GRACE gravity data with a longer record and newer generation(s) of products and will develop advanced numerical forward modeling techniques that can accurately correct leakage effects associated with GRACE data processing, and significantly improve spatial resolution of GRACE mass rate estimates over Antarctica. The work will also contribute to a better understanding of crustal uplift rates due to postglacial rebound (PGR) and present day ice load change over Antarctica via PGR models, GPS measurements, and combined analysis of GRACE and ICESat elevation changes. Inter-annual variations of ice mass over Antarctica will be investigated at continental and catchment scales and connections to regional climate change will be studied. The major deliverables from this study will be improved assessments of ice mass balance for the entire Antarctic ice sheet and potential contribution to global mean sea level rise. The work will also provide estimates of regional ice mass change rates over Antarctica, with a focus along the coast in the Amundsen Sea Embayment, the Peninsula in West Antarctica, and in Wilkes Land and Victoria Land in East Antarctica. Estimates of inter-annual ice mass change over Antarctica at various spatial scales, and assessments of uncertainty of GRACE ice rate estimates and PGR models errors over Antarctica will also be made. The intellectual merits of the proposed investigation include 1) providing improved assessments of Antarctic ice mass balance at different temporal and spatial scales with unprecedented accuracy, an important contribution to broad areas of polar science research; 2) combining high accuracy GPS vertical uplift measurements and PGR models to better quantify long-term crust uplift effects that are not distinguishable from ice mass changes by GRACE; and 3) unifying the work of several investigations at the forefront of quantifying ice sheet and glacier mass balance and crustal uplift based on a variety of modern space geodetic observations. The broader impacts include the fact that the project will actively involve student participation and training, through the support of two graduate students. In addition the project will contribute to general education and public outreach (E/PO) activities and the results from this investigation will help inspire future geoscientists and promote public awareness of significant manifestations of climate change. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Annual Satellite Era Accumulation Patterns Over WAIS Divide: A Study Using Shallow Ice Cores, Near-Surface Radars and Satellites
|
0944653 |
2015-01-01 | Forster, Richard |
Collaborative Research: Annual satellite era accumulation patterns over WAIS Divide: A study using shallow ice cores, near-surface radars and satellites |
This award supports a project to broaden the knowledge of annual accumulation patterns over the West Antarctic Ice Sheet by processing existing near-surface radar data taken on the US ITASE traverse in 2000 and by gathering and validating new ultra/super-high-frequency (UHF) radar images of near surface layers (to depths of ~15 m), expanding abilities to monitor recent annual accumulation patterns from point source ice cores to radar lines. Shallow (15 m) ice cores will be collected in conjunction with UHF radar images to confirm that radar echoed returns correspond with annual layers, and/or sub-annual density changes in the near-surface snow, as determined from ice core stable isotopes. This project will additionally improve accumulation monitoring from space-borne instruments by comparing the spatial-radar-derived-annual accumulation time series to the passive microwave time series dating back over 3 decades and covering most of Antarctica. The intellectual merit of this project is that mapping the spatial and temporal variations in accumulation rates over the Antarctic ice sheet is essential for understanding ice sheet responses to climate forcing. Antarctic precipitation rate is projected to increase up to 20% in the coming century from the predicted warming. Accumulation is a key component for determining ice sheet mass balance and, hence, sea level rise, yet our ability to measure annual accumulation variability over the past 5 decades (satellite era) is mostly limited to point-source ice cores. Developing a radar and ice core derived annual accumulation dataset will provide validation data for space-born remote sensing algorithms, climate models and, additionally, establish accumulation trends. The broader impacts of the project are that it will advance discovery and understanding within the climatology, glaciology and remote sensing communities by verifying the use of UHF radars to monitor annual layers as determined by visual, chemical and isotopic analysis from corresponding shallow ice cores and will provide a dataset of annual to near-annual accumulation measurements over the past ~5 decades across WAIS divide from existing radar data and proposed radar data. By determining if temporal changes in the passive microwave signal are correlated with temporal changes in accumulation will help assess the utility of passive microwave remote sensing to monitor accumulation rates over ice sheets for future decades. The project will promote teaching, training and learning, and increase representation of underrepresented groups by becoming involved in the NASA History of Winter project and Thermochron Mission and by providing K-12 teachers with training to monitor snow accumulation and temperature here in the US, linking polar research to the student's backyard. The project will train both undergraduate and graduate students in polar research and will encouraging young investigators to become involved in careers in science. In particular, two REU students will participate in original research projects as part of this larger project, from development of a hypothesis to presentation and publication of the results. The support of a new, young woman scientist will help to increase gender diversity in polar research. | ["POLYGON((-119.4 -78.1,-118.46 -78.1,-117.52 -78.1,-116.58 -78.1,-115.64 -78.1,-114.7 -78.1,-113.76 -78.1,-112.82 -78.1,-111.88 -78.1,-110.94 -78.1,-110 -78.1,-110 -78.29,-110 -78.48,-110 -78.67,-110 -78.86,-110 -79.05,-110 -79.24,-110 -79.43,-110 -79.62,-110 -79.81,-110 -80,-110.94 -80,-111.88 -80,-112.82 -80,-113.76 -80,-114.7 -80,-115.64 -80,-116.58 -80,-117.52 -80,-118.46 -80,-119.4 -80,-119.4 -79.81,-119.4 -79.62,-119.4 -79.43,-119.4 -79.24,-119.4 -79.05,-119.4 -78.86,-119.4 -78.67,-119.4 -78.48,-119.4 -78.29,-119.4 -78.1))"] | ["POINT(-114.7 -79.05)"] | false | false |
Pre and Post Molt Biology of Emperor Penguins - Oden Trans - Ross / Amundsen Sea Cruise
|
1043454 |
2015-01-01 | Kooyman, Gerald |
Pre and post molt biology of emperor penguins - Oden trans - Ross / Amundsen Sea cruise |
The emperor penguin dives deeper and longer, fasts longer, and endures the harshest weather conditions of all diving birds. It spends about four and half months per annum deep in Antarctic pack ice away from shore and stations, and thus is largely unavailable for study. This time includes preparation for the molt, and travel to the colony to breed, a time period in which great swings in body weight occur. This study will fill an important gap in what we know about the biology of the annual cycle of the emperor by examining the molt-post molt period. The P.I. proposes to traverse the Amundsen and Bellingshausen seas on the Oden, to locate and tag emperor penguins during the molt season. The objectives are to (1) Place satellite tags on 20 adult post molt birds to determine their route, rate of travel, and diving behavior as they return back to their breeding colonies, (2) Obtain an index of body condition, (3) Collect guano to determine the type of food consumed by emperor penguins in the region, (4) Conduct shipboard surveys to sight and plot the location and abundance of adult and juvenile birds on the ship's track. The PI hypothesizes that bird dives will be shallow during the initial post-molt phase, and that food will consist primarily of krill; that there will be differential dispersal of birds from the Ross Sea vs. Marie Byrd Land, with Ross Sea birds traveling farther; and that the greatest adult mortality occurs during the molt and early post molt period. Broader impacts include training of a post doc, a graduate student, and an aquarium volunteer. The P.I. also will present findings through a website, through public lectures, and in collaboration with the Birch aquarium. | ["POLYGON((-172.642 -72.55,-170.9074 -72.55,-169.1728 -72.55,-167.4382 -72.55,-165.7036 -72.55,-163.969 -72.55,-162.2344 -72.55,-160.4998 -72.55,-158.7652 -72.55,-157.0306 -72.55,-155.296 -72.55,-155.296 -73.0743,-155.296 -73.5986,-155.296 -74.1229,-155.296 -74.6472,-155.296 -75.1715,-155.296 -75.6958,-155.296 -76.2201,-155.296 -76.7444,-155.296 -77.2687,-155.296 -77.793,-157.0306 -77.793,-158.7652 -77.793,-160.4998 -77.793,-162.2344 -77.793,-163.969 -77.793,-165.7036 -77.793,-167.4382 -77.793,-169.1728 -77.793,-170.9074 -77.793,-172.642 -77.793,-172.642 -77.2687,-172.642 -76.7444,-172.642 -76.2201,-172.642 -75.6958,-172.642 -75.1715,-172.642 -74.6472,-172.642 -74.1229,-172.642 -73.5986,-172.642 -73.0743,-172.642 -72.55))"] | ["POINT(-163.969 -75.1715)"] | false | false |
MODIS Mosaic of Antarctica 2008-2009 (MOA2009) Image Map
|
None | 2014-07-17 | Haran, Terry; Bohlander, Jennifer; Scambos, Ted; Painter, Thomas; Fahnestock, Mark | No project link provided | The MODIS Mosaic of Antarctica 2008-2009 (MOA2009) Image Map consists of two cloud-free digital image maps that show mean surface morphology and a quantitative measure of optical snow grain size on the Antarctic continent and surrounding islands using 260 orbit swaths from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the NASA EOS Aqua and Terra satellites. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea
|
0838937 |
2014-01-01 | Costa, Daniel |
Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea |
Marine mammals of the Southern Ocean have evolved diverse life history patterns and foraging strategies to accommodate extreme fluctuations in the physical and biological environment. In light of ongoing climate change and the dramatic shifts in the extent and persistence of sea ice in the Ross Sea, it is critical to understand how Weddell seals, Leptonychotes weddellii, a key apex predator, select and utilize foraging habitats. Recent advances in satellite-linked animal-borne conductivity, temperature and depth (CTD) tags make it possible to simultaneously collect data on seal locations, their diving patterns, and the temperature and salinity profiles of the water columns they utilize. In other ecosystems, such data have revealed that marine predators selectively forage in areas where currents and fronts serve to locally concentrate prey resources, and that these conditions are required to sustain populations. Weddell seals will be studied in McMurdo Sound and at Terra Nova Bay, Ross Sea and will provide the first new data on Weddell seal winter diving behavior and habitat use in almost two decades. The relationship between an animal's diving behavior and physical habitat has enormous potential to enhance monitoring studies and to provide insight into how changes in ice conditions (due either to warming or the impact of large icebergs, such as B15) might impact individual time budgets and foraging success. The second thrust of this project is to use the profiles obtained from CTD seal tags to model the physical oceanography of this region. Current mathematical models of physical oceanographic processes in the Southern Ocean are directed at better understanding the role that it plays in global climate processes, and the linkages between physical and biological oceanographic processes. However, these efforts are limited by the scarcity of oceanographic data at high latitudes in the winter months; CTD tags deployed on animals will collect data at sufficient spatial and temporal resolution to improve data density. The project will contribute to two IPY endorsed initiatives: MEOP (Marine Mammals as Explorers of the Ocean Pole to Pole) and CAML (Census of Antarctic Marine Life). In addition, the highly visual nature of the data and analysis lends itself to public and educational display and outreach, particularly as they relate to global climate change, and we have collaborations with undergraduate and graduate training programs, the Seymour Marine Discovery Center, and the ARMADA program to foster these broader impacts. | ["POLYGON((162 -75,162.7 -75,163.4 -75,164.1 -75,164.8 -75,165.5 -75,166.2 -75,166.9 -75,167.6 -75,168.3 -75,169 -75,169 -75.3,169 -75.6,169 -75.9,169 -76.2,169 -76.5,169 -76.8,169 -77.1,169 -77.4,169 -77.7,169 -78,168.3 -78,167.6 -78,166.9 -78,166.2 -78,165.5 -78,164.8 -78,164.1 -78,163.4 -78,162.7 -78,162 -78,162 -77.7,162 -77.4,162 -77.1,162 -76.8,162 -76.5,162 -76.2,162 -75.9,162 -75.6,162 -75.3,162 -75))"] | ["POINT(165.5 -76.5)"] | false | false |
Are the Dry Valleys Getting Wetter? A Preliminary Assessment of Wetness Across the McMurdo Dry Valleys Landscape
|
1045215 |
2014-01-01 | Gooseff, Michael N. |
EAGER: Are the Dry Valleys Getting Wetter? A Preliminary Assessment of Wetness Across the McMurdo Dry Valleys Landscape |
Intellectual Merit: Until recently, wetted soils in the Dry Valleys were generally only found adjacent to streams and lakes. Since the warm austral summer of 2002, numerous "wet spots" have been observed far from shorelines on relatively flat valley floor locations and as downslope fingers of flow on valley walls. The source of the water to wet these soils is unclear, as is the spatial and temporal pattern of occurrence from year to year. Their significance is potentially great as enhanced soil moisture may change the thermodynamics, hydrology, and erosion rate of surface soils, and facilitate transport of materials that had previously been stable. These changes to the soil active layer could significantly modify permafrost and ground ice stability within the Dry Valleys. The PIs seek to investigate these changes to address two competing hypotheses: that the source of water to these ?wet spots? is ground ice melt and that the source of this water is snowmelt. The PIs will document the spatiotemporal dynamics of these wet areas using high frequency remote sensing data from QuickBird and WorldView satellites to document the occurrence, dimensions, and growth of wet spots during the 2010-11 and 2011-12 austral summers. They will test their hypotheses by determining whether wet spots recur in the same locations in each season, and they will compare present to past distribution using archived imagery. They will also determine whether spatial snow accumulation patterns and temporal ablation patterns are coincident with wet spot formation. Broader impacts: One graduate student will be trained on this project. Findings will be reported at scientific meetings and published in peer reviewed journals. They will also develop a teaching module on remote sensing applications to hydrology for the Modular Curriculum for Hydrologic Advancement and an innovative prototype project designed to leverage public participation in mapping wet spots and snow patches across the Dry Valleys through the use of social media and mobile computing applications. | ["POLYGON((160 -77.25,160.5 -77.25,161 -77.25,161.5 -77.25,162 -77.25,162.5 -77.25,163 -77.25,163.5 -77.25,164 -77.25,164.5 -77.25,165 -77.25,165 -77.375,165 -77.5,165 -77.625,165 -77.75,165 -77.875,165 -78,165 -78.125,165 -78.25,165 -78.375,165 -78.5,164.5 -78.5,164 -78.5,163.5 -78.5,163 -78.5,162.5 -78.5,162 -78.5,161.5 -78.5,161 -78.5,160.5 -78.5,160 -78.5,160 -78.375,160 -78.25,160 -78.125,160 -78,160 -77.875,160 -77.75,160 -77.625,160 -77.5,160 -77.375,160 -77.25))"] | ["POINT(162.5 -77.875)"] | false | false |
Ocean-Ice Interaction in the Amundsen Sea Sector of West Antarctica
|
0732804 |
2014-01-01 | McPhee, Miles G. |
Collaborative Research; IPY: Ocean-Ice Interaction in the Amundsen Sea sector of West Antarctica |
The Office of Polar Programs, Antarctic Integrated and System Science Program has made this award to support an interdisciplinary study of the effects of the ocean on the stability of glacial ice in the most dynamic region the West Antarctic Ice Sheet, namely the Pine Island Glacier in the Amundsen Sea Embayment. The collaborative project builds on the knowledge gained by the highly successful West Antarctic Ice Sheet program and is being jointly sponsored with NASA. Recent observations indicate a significant ice loss, equivalent to 10% of the ongoing increase in sea-level rise, in this region. These changes are largest along the coast and propagate rapidly inland, indicating the critical impact of the ocean on ice sheet stability in the region. While a broad range of remote sensing and ground-based instrumentation is available to characterize changes of the ice surface and internal structure (deformation, ice motion, melt) and the shape of the underlying sediment and rock bed, instrumentation has yet to be successfully deployed for observing boundary layer processes of the ocean cavity which underlies the floating ice shelf and where rapid melting is apparently occurring. Innovative, mini ocean sensors that can be lowered through boreholes in the ice shelf (about 500 m thick) will be developed and deployed to automatically provide ocean profiling information over at least three years. Their data will be transmitted through a conducting cable frozen in the borehole to the surface where it will be further transmitted via satellite to a laboratory in the US. Geophysical and remote sensing methods (seismic, GPS, altimetry, stereo imaging, radar profiling) will be applied to map the geometry of the ice shelf, the shape of the sub ice-shelf cavity, the ice surface geometry and deformations within the glacial ice. To integrate the seismic, glaciological and oceanographic observations, a new 3-dimensional coupled ice-ocean model is being developed which will be the first of its kind. NASA is supporting satellite based research and the deployment of a robotic-camera system to explore the environment in the ocean cavity underlying the ice shelf and NSF is supporting all other aspects of this study. Broader impacts: This project is motivated by the potential societal impacts of rapid sea level rise and should result in critically needed improvements in characterizing and predicting the behavior of coupled ocean-ice systems. It is a contribution to the International Polar Year and was endorsed by the International Council for Science as a component of the 'Multidisciplinary Study of the Amundsen Sea Embayment' proposal #258 of the honeycomb of endorsed IPY activities. The research involves substantial international partnerships with the British Antarctic Survey and the University of Bristol in the UK. The investigators will partner with the previously funded 'Polar Palooza' education and outreach program in addition to undertaking a diverse set of outreach activities of their own. Eight graduate students and one undergraduate as well as one post doc will be integrated into this research project. | ["POINT(166.25 -77.42)"] | ["POINT(166.25 -77.42)"] | false | false |
Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea
|
0838892 |
2013-01-01 | Burns, Jennifer |
Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea |
Marine mammals of the Southern Ocean have evolved diverse life history patterns and foraging strategies to accommodate extreme fluctuations in the physical and biological environment. In light of ongoing climate change and the dramatic shifts in the extent and persistence of sea ice in the Ross Sea, it is critical to understand how Weddell seals, Leptonychotes weddellii, a key apex predator, select and utilize foraging habitats. Recent advances in satellite-linked animal-borne conductivity, temperature and depth (CTD) tags make it possible to simultaneously collect data on seal locations, their diving patterns, and the temperature and salinity profiles of the water columns they utilize. In other ecosystems, such data have revealed that marine predators selectively forage in areas where currents and fronts serve to locally concentrate prey resources, and that these conditions are required to sustain populations. Weddell seals will be studied in McMurdo Sound and at Terra Nova Bay, Ross Sea and will provide the first new data on Weddell seal winter diving behavior and habitat use in almost two decades. The relationship between an animal's diving behavior and physical habitat has enormous potential to enhance monitoring studies and to provide insight into how changes in ice conditions (due either to warming or the impact of large icebergs, such as B15) might impact individual time budgets and foraging success. The second thrust of this project is to use the profiles obtained from CTD seal tags to model the physical oceanography of this region. Current mathematical models of physical oceanographic processes in the Southern Ocean are directed at better understanding the role that it plays in global climate processes, and the linkages between physical and biological oceanographic processes. However, these efforts are limited by the scarcity of oceanographic data at high latitudes in the winter months; CTD tags deployed on animals will collect data at sufficient spatial and temporal resolution to improve data density. The project will contribute to two IPY endorsed initiatives: MEOP (Marine Mammals as Explorers of the Ocean Pole to Pole) and CAML (Census of Antarctic Marine Life). In addition, the highly visual nature of the data and analysis lends itself to public and educational display and outreach, particularly as they relate to global climate change, and we have collaborations with undergraduate and graduate training programs, the Seymour Marine Discovery Center, and the ARMADA program to foster these broader impacts. | ["POLYGON((162 -75,162.7 -75,163.4 -75,164.1 -75,164.8 -75,165.5 -75,166.2 -75,166.9 -75,167.6 -75,168.3 -75,169 -75,169 -75.3,169 -75.6,169 -75.9,169 -76.2,169 -76.5,169 -76.8,169 -77.1,169 -77.4,169 -77.7,169 -78,168.3 -78,167.6 -78,166.9 -78,166.2 -78,165.5 -78,164.8 -78,164.1 -78,163.4 -78,162.7 -78,162 -78,162 -77.7,162 -77.4,162 -77.1,162 -76.8,162 -76.5,162 -76.2,162 -75.9,162 -75.6,162 -75.3,162 -75))"] | ["POINT(165.5 -76.5)"] | false | false |
Real-Time Characterization of Adelie Penguin Foraging Environment Using an Autonomous Underwater Vehicle
|
1019838 |
2013-01-01 | Wendt, Dean; Moline, Mark |
Real-Time Characterization of Adelie Penguin Foraging Environment Using an Autonomous Underwater Vehicle |
The Antarctic Peninsula is among the most rapidly warming regions on earth. Increased heat from the Antarctic Circumpolar Current has elevated the temperature of the 300 m of shelf water below the permanent pycnocline by 0.7 degrees C. This trend has displaced the once dominant cold, dry continental Antarctic climate, and is causing multi-level responses in the marine ecosystem. One striking example of the ecosystem response to warming has been the local declines in ice-dependent Adélie penguins. The changes in these apex predators are thought to be driven by alterations in phytoplankton and zooplankton community composition, and the foraging limitations and diet differences between these species. One of the most elusive questions facing researchers interested in the foraging ecology of the Adélie penguin, namely, what are the biophysical properties that characterize the three dimensional foraging space of this top predator? The research will combine the real-time site and diving information from the Adélie penguin satellite tags with the full characterization of the oceanography and the penguins prey field using an autonomous underwater vehicle (AUV). While some of these changes have been documented over large spatial scales of the WAP, it is now thought that the causal mechanisms that favor of one life history strategy over another may actually operate over much smaller scales than previously thought, specifically on the scale of local breeding sites and over-wintering areas. Characterization of prey fields on these local scales has yet to be done and one that the AUV is ideally suited. The results will have a direct tie to the climate induced changes that are occurring in the West Antarctic Peninsula. This study will also highlight a new approach to linking an autonomous platform to bird behavior that could be expanded to include the other two species of penguins and examine the seasonal differences in their foraging behavior and prey selection. From a vehicle perspective, this effort will inform the AUV user community of new sensor suites and/or data processing approaches that are required to better evaluate foraging habitat. The project also will help transition AUV platforms into routine investigative tools for this region, which is chronically under sampled and will remain difficult to access | [] | [] | false | false |
Coastal and Terminus History of the Eastern Amundsen Sea Embayment, West Antarctica, 1972 - 2011
|
0739654 |
2012-05-30 | Macgregor, Joseph A.; Catania, Ginny; Markowski, Michael; Andrews, Alan G. |
Collaborative Research: Ice-flow history of the Thwaites Glacier, West Antarctica |
This data set provides a coastline history of the eastern Amundsen Sea Embayment and terminus histories of its outlet glaciers derived from those coastlines. These outlet glaciers include Smith, Haynes, Thwaites, and Pine Island Glaciers. The coastlines were derived from detailed tracing of Landsat imagery between late 1972 and late 2011 (at a scale of 1:50,000). The data set also uses some additional data from other sources. The terminus histories are calculated as the intersections between these coastlines and 1996 flowlines. Data are available via FTP in ESRI shapefile and comma separated value (.csv) formats. | ["POLYGON((-110 -74,-109 -74,-108 -74,-107 -74,-106 -74,-105 -74,-104 -74,-103 -74,-102 -74,-101 -74,-100 -74,-100 -74.2,-100 -74.4,-100 -74.6,-100 -74.8,-100 -75,-100 -75.2,-100 -75.4,-100 -75.6,-100 -75.8,-100 -76,-101 -76,-102 -76,-103 -76,-104 -76,-105 -76,-106 -76,-107 -76,-108 -76,-109 -76,-110 -76,-110 -75.8,-110 -75.6,-110 -75.4,-110 -75.2,-110 -75,-110 -74.8,-110 -74.6,-110 -74.4,-110 -74.2,-110 -74))"] | ["POINT(-105 -75)"] | false | false |
US/Chinese Collaborative Study: Investigation of Bottom Water Formation in Prydz Bay, Antarctica
|
1043669 |
2012-01-01 | Yuan, Xiaojun |
US/Chinese Collaborative Study: Investigation of Bottom Water Formation in Prydz Bay, Antarctica |
Processess governing the formation of Antarctic bottom water (AABW) in the Indian Ocean sector of the Southern Ocean remain poorly described. As with AABW formation in more well studied regions of the Antarctic continent, global climate impacts of the source regions of this dense, cold water that help drive the global ocean thermohaline circulation are uncertain. A combination of (annual) continental shelf and slope moorings, seasonal (summer) hydrographic surveys on board the Chinese icebreaker M/V Xuelong, together with synthesis of historic and satellite data will be used to better constrain shelf processes and the atmosphere-ocean-ice interactions in the Prydz Bay region. Despite the seeming remoteness of the study site, changes in the formation rate of AABW could potentially have impact on northern hemisphere climate via effects on the global heat budget and through sea-level rise in the coming decades. The project additionally seeks to promote international collaboration between Chinese and US researchers. The data collected will be broadly disseminated to the oceanographic community through the National Oceanography Data Center and Chinese Arctic and Antarctic Data Center. | ["POLYGON((70 -64,71 -64,72 -64,73 -64,74 -64,75 -64,76 -64,77 -64,78 -64,79 -64,80 -64,80 -64.6,80 -65.2,80 -65.8,80 -66.4,80 -67,80 -67.6,80 -68.2,80 -68.8,80 -69.4,80 -70,79 -70,78 -70,77 -70,76 -70,75 -70,74 -70,73 -70,72 -70,71 -70,70 -70,70 -69.4,70 -68.8,70 -68.2,70 -67.6,70 -67,70 -66.4,70 -65.8,70 -65.2,70 -64.6,70 -64))"] | ["POINT(75 -67)"] | false | false |
High-resolution Image-derived Grounding and Hydrostatic Lines for the Antarctic Ice Sheet
|
None | 2011-02-20 | Bindschadler, Robert; Choi, Hyeungu | No project link provided | This data set provides grounding line and hydrostatic line locations for the Antarctic coastline and islands around Antarctica. The data are derived using customized software to combine data from Landsat-7 imagery and Ice, Cloud, and land Elevation Satellite (ICESat) laser altimetry, which were primarily collected between 1999 to 2003. The data set also includes elevations along each line, selected from six candidate digital elevation models. The data were developed as part of the Antarctic Surface Accumulation and Ice Discharge (ASAID) project. Funding trough NASA grant 509496.02.08.01.81 Data are provided in both ASCII text (.txt) and shapefile (.shp, .dbf, .shx) formats. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -62,180 -64,180 -66,180 -68,180 -70,180 -72,180 -74,180 -76,180 -78,180 -80,144 -80,108 -80,72 -80,36 -80,0 -80,-36 -80,-72 -80,-108 -80,-144 -80,-180 -80,-180 -78,-180 -76,-180 -74,-180 -72,-180 -70,-180 -68,-180 -66,-180 -64,-180 -62,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
SGER: Foraging Patterns of Elephant Seals in the Vicinity of the WIlkins Ice Shelf
|
0840375 |
2010-01-01 | Goebel, Michael; Costa, Daniel |
SGER: Foraging Patterns of Elephant Seals in the Vicinity of the WIlkins Ice Shelf |
Long-lived animals such as elephant seals may endure variation in food resources over large spatial and temporal scales. Understanding how they respond to these fluctuations requires knowledge of how their foraging behavior and habitat utilization varies over time. Advances in satellite-linked data logging have made it possible to correlate the foraging behavior of marine mammals with their physical and chemical environment and provide insight into the mechanisms controlling at-sea movements, foraging behavior and, ultimately, reproductive success of these pelagic predators. In addition, these technological advances enable marine mammals to be used as highly cost-effective platforms from which detailed oceanographic data can be collected on a scale not possible with conventional methods. The project will extend the four-year-time-series collected on the foraging behavior and habitat utilization of southern elephant seal (Mirounga leonina) foraging in the Western Antarctic Peninsula. It also will extend the oceanographic time-series of CTD profiles collected by the elephant seals foraging from the Livingston Island rookery. Seals have been collecting CTD profiles in the vicinity of the Wilkins Ice Shelf (WIS) since 2005. We thus have a 4 year data set that preceding and during the breakup of the WIS that occurred during March 2008. Deployment of additional tags on seals will provide a unique opportunity to collect oceanographic data after the ice shelf has collapsed. | ["POLYGON((-64 -60,-63 -60,-62 -60,-61 -60,-60 -60,-59 -60,-58 -60,-57 -60,-56 -60,-55 -60,-54 -60,-54 -60.4,-54 -60.8,-54 -61.2,-54 -61.6,-54 -62,-54 -62.4,-54 -62.8,-54 -63.2,-54 -63.6,-54 -64,-55 -64,-56 -64,-57 -64,-58 -64,-59 -64,-60 -64,-61 -64,-62 -64,-63 -64,-64 -64,-64 -63.6,-64 -63.2,-64 -62.8,-64 -62.4,-64 -62,-64 -61.6,-64 -61.2,-64 -60.8,-64 -60.4,-64 -60))"] | ["POINT(-59 -62)"] | false | false |
Adelie penguin satellite position data 2000-2009 from the California Avian Data Center hosted by Point Reyes Bird Observatory Conservation Science
|
0439759 |
2009-05-19 | Ballard, Grant |
COLLABORATIVE: Adelie Penguin Response to Climate Change at the Individual, Colony and Metapopulation Levels |
This project is an international collaborative investigation of geographic structuring, founding of new colonies, and population change of Adelie penguins (Pygoscelis adelia) nesting on Ross and Beaufort islands, Antarctica. This ongoing study will continue to consider the relative importance of resources that constrain or enhance colony growth (nesting habitat, access to food); the aspects of natural history that are affected by exploitative or interference competition among neighboring colonies (breeding success, foraging effort); climatic factors that influence the latter, especially sea ice patterns; and behavioral mechanisms that influence colony growth as a function of initial size and location (emigration, immigration). The research includes a census of known-age penguins, studies of foraging effort and overlap among colonies; and identification of the location of molting and wintering areas. | ["POINT(166 -77)"] | ["POINT(166 -77)"] | false | false |
Stable Isotope Studies at East Antarctic US ITASE Sites
|
0440414 |
2009-01-01 | Steig, Eric J. |
Stable Isotope Studies at East Antarctic US ITASE Sites |
This award supports a project to obtain stable isotope profiles from shallow (<100 m) ice cores from East Antarctica, to add to the growing database of environmental proxy data collected under the auspices of the "ITASE" (International TransAntarctic Scientific Expedition) program. In Antarctica, the instrumental record of climate is particularly short (~40 years except in a few isolated locations on the coast), and ice core proxy data are the only means available for extending this record into the past. The use of stable isotopes of water (18-O/16-O and D/H ratios) from ice cores as proxies for temperature is well established for both very short (i.e. seasonal) and long timescales (centuries, millennia). Using multivariate regression methods and shallow ice cores from West Antarctica, a reconstruction of Antarctic climate over the last ~150 years has been developed which suggests the continent has been warming, on average, at a rate of ~0.2 K/century. Further improving these reconstructions is the chief motivation for further extending the US ITASE project. Ten to fifteen shallow (~100 m) from Victoria Land, East Antarctica will be obtained and analyzed. The core will be collected along a traverse route beginning at Taylor Dome and ending at the South Pole. Age-depth relationships for the cores will be determined through a combination of stable isotopes, visual stratigraphy and seasonal chemical signatures and marker horizons. Reconstructions of Antarctic climate obtained from these cores will be incorporated into the global network of paleoclimate information, which has been important in science, policy and educational contexts. The project will include graduate student and postdoctoral training and field experience. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Ross Ice Shelf Firn Temperature, Antarctica
|
0229546 |
2008-12-15 | Scambos, Ted; Muto, Atsu; Sergienko, Olga; MacAyeal, Douglas |
Collaborative Research of Earth's Largest Icebergs |
Since November of 2006, 12 thermistors were planted in the upper 16 meters of the firn on the Ross Ice Shelf near its calving front. Temperature data are collected every 20 minutes and are transmitted via ARGOS satellite relay. Data are intended to provide a view of how firn temperatures change as the ice shelf evolves. Data are available in comma-delimited ASCII format. Data are available via FTP. | ["POINT(-178 -78)"] | ["POINT(-178 -78)"] | false | false |
Iceberg Firn Temperatures, Antarctica
|
0229546 |
2008-11-28 | Thom, Jonathan; Sergienko, Olga; MacAyeal, Douglas |
Collaborative Research of Earth's Largest Icebergs |
Since November of 2005, 12 thermistors were planted in the upper 2.5 meters of the firn on iceberg C16, Antarctica. Temperature data are collected every 20 minutes and are transmitted via ARGOS satellite relay. Data are intended to provide a view of how firn temperatures change as an iceberg moves north into warmer climate. | ["POINT(168 -78)"] | ["POINT(168 -78)"] | false | false |
Giant Icebergs of the Ross Sea, in situ Drift and Weather Measurements, Antarctica
|
0229546 |
2008-10-20 | Okal, Emile; Aster, Richard; Bassis, Jeremy; MacAyeal, Douglas |
Collaborative Research of Earth's Largest Icebergs |
During 2001-2006, 6 giant icebergs (B15A, B15J, B15K, C16 and C25) adrift in the southwestern Ross Sea, Antarctica, were instrumented with global positioning system (GPS) receivers, magnetic compasses and automatic weather stations (AWS), to monitor their behavior in the near-coastal environment and to record their exit into the Southern Ocean. The GPS and AWS data were collected on a 20-minute interval, Many of the station data timeseries are continuous for periods of up to 7 years, with icebergs C16 and B15J having the longest records. The data is considered useful for examining the processes of iceberg drift (and other behaviors) on time scales that are shorter than what is possible through satellite image iceberg tracking. Data are available in comma-delimited ASCII format and Matlab native mat files. | ["POLYGON((-178 -60,-149.2 -60,-120.4 -60,-91.6 -60,-62.8 -60,-34 -60,-5.2 -60,23.6 -60,52.4 -60,81.2 -60,110 -60,110 -61.8,110 -63.6,110 -65.4,110 -67.2,110 -69,110 -70.8,110 -72.6,110 -74.4,110 -76.2,110 -78,81.2 -78,52.4 -78,23.6 -78,-5.2 -78,-34 -78,-62.8 -78,-91.6 -78,-120.4 -78,-149.2 -78,-178 -78,-178 -76.2,-178 -74.4,-178 -72.6,-178 -70.8,-178 -69,-178 -67.2,-178 -65.4,-178 -63.6,-178 -61.8,-178 -60))"] | ["POINT(-34 -69)"] | false | false |
Decadal-Length Composite West Antarctic Air Temperature Records
|
9526566 |
2006-11-28 | Shuman, Christopher A.; Stearns, Charles R. |
Passive Microwave Remote Sensing for Paleoclimate Indicators at Siple Dome, Antarctica |
This data set includes daily, monthly, and yearly mean surface air temperatures for four interior West Antarctic sites between 1978 and 1997. Data include air surface temperatures measured at the Byrd, Lettau, Lynn, and Siple Station automatic weather stations. In addition, because weather stations in Antarctica are difficult to maintain, and resulting multi-decade records are often incomplete, the investigators also calculated surface temperatures from satellite passive microwave brightness temperatures. Calibration of 37-GHz vertically polarized brightness temperature data during periods of known air temperature, using emissivity modeling, allowed the investigators to replace data gaps with calibrated brightness temperatures. MS Excel data files and GIF images derived from the data are available via ftp from the National Snow and Ice Data Center. | ["POINT(-119.4 -80.01)", "POINT(-174.45 -82.52)", "POINT(-84 -75.9)", "POINT(160.41 -74.21)"] | ["POINT(-119.4 -80.01)", "POINT(-174.45 -82.52)", "POINT(-84 -75.9)", "POINT(160.41 -74.21)"] | false | false |
Subglacial Topography: Airborne Geophysical Survey of the Amundsen Sea Embayment, Antarctica
|
0230197 |
2006-10-25 | Holt, John W.; Blankenship, Donald D.; Morse, David L.; Vaughan, David G.; Corr, Hugh F. J.; Young, Duncan A. |
Airborne Geophysical Survey of the Amundsen Sea Embayment, Antarctica (AGASEA) |
This data set includes 5 km gridded data from the Airborne Geophysical Survey of the Amundsen Sea Embayment, Antarctica (AGASEA) conducted during the 2004-2005 austral summer. Investigators derived maps of the ice sheet surface and subglacial topography, which covers the entire catchments of both the Thwaites Glacier and the Pine Islands Glacier, from airborne survey systems mounted on a Twin Otter aircraft. The surveys had sufficient density to identify critical ice dynamic transitions within the Amundsen Sea Embayment (ASE). The ASE is the only major drainage to exhibit significant elevation change over the period of available satellite observations. Modeling of the Western Antarctic Ice Sheet (WAIS) deglaciation pinpointed the Pine Island Glacier and the Thwaites Glacier, which comprise a major portion of the ASE, as the most vulnerable features of the WAIS. Present knowledge of the ice thickness and subglacial boundary conditions in the ASE are insufficient to understand its evolution or its sensitivity to climatic change, and it is not yet determined whether these changes are evidence of ongoing deglaciation or simply a fluctuation that does not threaten the equilibrium of the ice sheet. This research will support the efforts of a community of United States and international researchers to assess the present and predict the future behavior of the ice sheet in the ASE. These data are available via FTP. | ["POLYGON((-134.9 -71.7,-129.86 -71.7,-124.82 -71.7,-119.78 -71.7,-114.74 -71.7,-109.7 -71.7,-104.66 -71.7,-99.62 -71.7,-94.58 -71.7,-89.54 -71.7,-84.5 -71.7,-84.5 -72.7,-84.5 -73.7,-84.5 -74.7,-84.5 -75.7,-84.5 -76.7,-84.5 -77.7,-84.5 -78.7,-84.5 -79.7,-84.5 -80.7,-84.5 -81.7,-89.54 -81.7,-94.58 -81.7,-99.62 -81.7,-104.66 -81.7,-109.7 -81.7,-114.74 -81.7,-119.78 -81.7,-124.82 -81.7,-129.86 -81.7,-134.9 -81.7,-134.9 -80.7,-134.9 -79.7,-134.9 -78.7,-134.9 -77.7,-134.9 -76.7,-134.9 -75.7,-134.9 -74.7,-134.9 -73.7,-134.9 -72.7,-134.9 -71.7))"] | ["POINT(-109.7 -76.7)"] | false | false |
AWS Data: Characteristics of Snow Megadunes and Their Potential Effect on Ice Core Interpretation
|
0225992 0125570 |
2006-10-05 | Fahnestock, Mark; Scambos, Ted; Haran, Terry; Bauer, Rob |
Collaborative Research: Characteristics of Snow Megadunes and Their Potential Effect on Ice Core Interpretation |
The Antarctic megadune research was conducted during two field seasons, one in November 2002 and the other during the period of December 2003 through January 2004. The megadune field site is located on the East Antarctic Plateau, southeast of Vostok station. The objectives of this multi-facetted research are 1) to determine the physical characteristics of the firn across the dunes including typical climate indicators such as stable isotopes and major chemical species and 2) to install instruments to measure the time variation of near-surface wind and temperature with depth, to test and refine hypotheses for megadune formation. It is important to improve our current understanding of the megadunes because of their extreme nature, their broad extent, and their potential impact on the climate record. Megadunes are a manifestation of an extreme terrestrial climate and may provide insight on the past terrestrial climate or on processes active on other planets. Snow megadunes are undulating variations in accumulation and surface texture with wavelengths of 2 to 5 km and amplitudes up to 5 meters. The features cover 500,000 km<sup>2</sup> of the East Antarctic plateau, occurring in areas of moderate regional slope and low accumulation on the flanks of the ice sheet between 2500 and 3800 meters elevation. Landsat images and aerial photography indicate the dunes consist of alternating surfaces of glaze and rough sastrugi, with gradational boundaries. This pattern is oriented perpendicular to the mean wind direction, as modeled in katabatic wind studies. Glazed surfaces cover the leeward faces and troughs; rough sastrugi cover the windward faces and crests. The megadune pattern is crossed by smooth to eroded wind-parallel longitudinal dunes. Wind-eroded longitudinal dunes form spectacular 1-meter-high sastrugi in nearby areas. This data set contains automated weather station (AWS) data from two sites. The Mac site was oriented on the rough sastrugi-covered windward face and the Zoe site was on the glazed leeward face. The AWSs collected data throughout the year from 16 January 2004 to 17 November 2004. Investigators received data from the two field sites via the ARGOS Satellite System (http://www.argosinc.com/). Data are provided in space-delimited ASCII text format and are available via FTP. | ["POLYGON((124.4345 -80.77546,124.443718 -80.77546,124.452936 -80.77546,124.462154 -80.77546,124.471372 -80.77546,124.48059 -80.77546,124.489808 -80.77546,124.499026 -80.77546,124.508244 -80.77546,124.517462 -80.77546,124.52668 -80.77546,124.52668 -80.776922,124.52668 -80.778384,124.52668 -80.779846,124.52668 -80.781308,124.52668 -80.78277,124.52668 -80.784232,124.52668 -80.785694,124.52668 -80.787156,124.52668 -80.788618,124.52668 -80.79008,124.517462 -80.79008,124.508244 -80.79008,124.499026 -80.79008,124.489808 -80.79008,124.48059 -80.79008,124.471372 -80.79008,124.462154 -80.79008,124.452936 -80.79008,124.443718 -80.79008,124.4345 -80.79008,124.4345 -80.788618,124.4345 -80.787156,124.4345 -80.785694,124.4345 -80.784232,124.4345 -80.78277,124.4345 -80.781308,124.4345 -80.779846,124.4345 -80.778384,124.4345 -80.776922,124.4345 -80.77546))"] | ["POINT(124.48059 -80.78277)"] | false | false |
Compilation of Antarctic Radar Data, Siple Coast, 2000-2002
|
9909518 |
2005-12-15 | Raymond, Charles; Conway, Howard; Catania, Ginny |
Collaborative Research:History and Evolution of the Siple Coast Ice Stream Systems as Recorded by Former Shear-Margin Scars |
These data consist of ground-based, ice-penetrating radar profiles across satellite-detected lineations and terrains that were taken in the lower reaches of Ross Ice Stream C, also known as the Kamb Ice Stream (KIS); on Roosevelt Island; on the Siple Dome; and on the Shabtaie Ice Ridge. | ["POLYGON((-158 -81,-155.6 -81,-153.2 -81,-150.8 -81,-148.4 -81,-146 -81,-143.6 -81,-141.2 -81,-138.8 -81,-136.4 -81,-134 -81,-134 -81.3,-134 -81.6,-134 -81.9,-134 -82.2,-134 -82.5,-134 -82.8,-134 -83.1,-134 -83.4,-134 -83.7,-134 -84,-136.4 -84,-138.8 -84,-141.2 -84,-143.6 -84,-146 -84,-148.4 -84,-150.8 -84,-153.2 -84,-155.6 -84,-158 -84,-158 -83.7,-158 -83.4,-158 -83.1,-158 -82.8,-158 -82.5,-158 -82.2,-158 -81.9,-158 -81.6,-158 -81.3,-158 -81))"] | ["POINT(-146 -82.5)"] | false | false |
MODIS Mosaic of Antarctica 2003-2004 (MOA2004) Image Map
|
None | 2005-11-02 | Haran, Terry; Bohlander, Jennifer; Scambos, Ted; Painter, Thomas; Fahnestock, Mark | No project link provided | The MODIS Mosaic of Antarctica 2003-2004 (MOA2004) Image Map consists of two cloud-free digital image maps that show mean surface morphology and a quantitative measure of optical snow grain size on the Antarctic continent and surrounding islands. The 260 orbit swaths used to create the 2003/2004 MOA Surface Morphology Image Map and the 2003/2004 MOA Grain Size Image Map were acquired 20 November 2003 through 29 February 2004 by the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the NASA EOS Aqua and Terra satellites. The 122 orbit swaths used to create the 2003 MOA Grain Size Image Map were acquired 1 November 2003 through 17 December 2003. Vector data sets with the corresponding coastlines, ice sheet grounding lines, and islands are also provided. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Extended Advanced Very High Resolution Radiometer Polar Pathfinder Satellite Product
|
None | 2004-12-14 | Key, Jeffrey R. | No project link provided | This data set consists of AVHRR retrievals of surface and cloud properties as well as radiative fluxes for the period 1982 - 1999 over the Arctic and Antarctic at a 25 km resolution. The images times are 1400 and 0400 (Arctic) or 0200 (Antarctic) local solar times. Resulsts are calculated on a twice-daily basis, but only monthly mean images and area-averaged values are currently online. The standard AVHRR Polar Pathfinder (APP) product includes gridded radiances, viewing and illumination geometry, clear sky surface temperature and albedo, and three cloud masks at a 5 km resolution. We have extended the standard APP product to include all-sky surface temperature, all-sky surface albedo, cloud properties (particle phase, effective radius, optical depth, temperature and pressure), and radiative fluxes as well as cloud radiative effect (“forcing”). We refer to this dataset as APP-x | [] | [] | false | false |
Antarctic Ice Velocity Data
|
None | 2004-03-23 | Bindschadler, Robert; Raymond, Charles | No project link provided | This compilation of recent ice velocity data of the Antarctic ice sheet is intended for use by the polar scientific community. The data are presented in tabular form (ASCII), containing latitude, longitude, speed, bearing, and error ranges. A metadata header describes the source of the data, the time of measurement, and gives details on measurement accuracy and precision. The tables are available for ftp transfer. Web pages developed specifically for this data set provide detailed information for viewing and selecting the velocity data. These pages contain large satellite image maps (available as jpeg files). The data sets used to create these images were contributed by several investigators, generally from already published work. Both in situ and image-based methods are used. References for the data sets are included with the data tables. If you have well-characterized Antarctic ice velocity data you would like to contribute to this site, please contact teds@icehouse.colorado.edu. If you have any questions concerning the relevance of these data to your work please contact NSIDC User Services. | ["POLYGON((-180 -50,-144 -50,-108 -50,-72 -50,-36 -50,0 -50,36 -50,72 -50,108 -50,144 -50,180 -50,180 -54,180 -58,180 -62,180 -66,180 -70,180 -74,180 -78,180 -82,180 -86,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -86,-180 -82,-180 -78,-180 -74,-180 -70,-180 -66,-180 -62,-180 -58,-180 -54,-180 -50))"] | ["POINT(0 -89.999)"] | false | false |
Siple Dome Glaciology and Ice Stream History 1994, 1996
|
9316338 |
1999-01-01 | Jacobel, Robert |
Siple Dome Glaciology and Ice Stream History |
The Siple Dome Glaciology and Ice Stream History project was part of Western Divide West Antarctic Ice Cores (WAISCORES), an NSF-funded project to understand the influence of the West Antarctic ice sheet on climate and sea level change. WAISCORES researchers acquired and analyzed ice cores from the Siple Dome, in the Siple Coast region, West Antarctica. This project supported glaciological studies of Siple Dome and its surroundings between Ice Streams C and D, via two major goals. First, it sought to characterize the dynamic environment and ice stratigraphy of Siple Dome and its surroundings, with the specific mission of assessing Siple Dome as a potential deep core site; and second, to determine whether the configuration of ice stream flow in the region has changed over time. Both goals are relevant to understanding the dynamics of the West Antarctic Ice Sheet (WAIS), its history, and potential future behavior. This project was a collaboration between Saint Olaf College, the University of Washington, and the National Snow and Ice Data Center at the University of Colorado. It included studies of satellite imagery and acquisition and analysis of field data from GPS, firn cores and snow pits, and ground-based ice-penetrating radar. Data in this collection were obtained during two Antarctic field seasons in 1994–95 and 1996–97. The data set is available via FTP as Microsoft Excel Spreadsheet (.xls) and ASCII tab delimited (.txt) files. Related notes are available as a Microsoft Word (.doc) or text (.txt) file. Related images and charts are available as Graphics Interchange Format (.gif) and Joint Photographic Experts Group (.jpg) files. | ["POLYGON((-155 -81,-154 -81,-153 -81,-152 -81,-151 -81,-150 -81,-149 -81,-148 -81,-147 -81,-146 -81,-145 -81,-145 -81.2,-145 -81.4,-145 -81.6,-145 -81.8,-145 -82,-145 -82.2,-145 -82.4,-145 -82.6,-145 -82.8,-145 -83,-146 -83,-147 -83,-148 -83,-149 -83,-150 -83,-151 -83,-152 -83,-153 -83,-154 -83,-155 -83,-155 -82.8,-155 -82.6,-155 -82.4,-155 -82.2,-155 -82,-155 -81.8,-155 -81.6,-155 -81.4,-155 -81.2,-155 -81))"] | ["POINT(-150 -82)"] | false | false |