USAP-DC

{"dp_type": "Dataset", "free_text": "Remote Sensing"}

[{"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.\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, and computed Normalized Difference Water Index (NDWI) from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. \n\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": "Larsen C Ice Shelf; Antarctica", "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": "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\r\n\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 and computed Normalized Difference Water Index (NDWI) from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. \r\n\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\r\n\u003cbr/\u003e\r\n\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": "1443534 Bell, Robin; 1444690 Bell, Robin; 0958658 Bell, Robin", "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 -86,178.1 -86,176.2 -86,174.3 -86,172.4 -86,170.5 -86,168.6 -86,166.7 -86,164.8 -86,162.9 -86,161 -86,161 -85.1,161 -84.2,161 -83.3,161 -82.4,161 -81.5,161 -80.6,161 -79.7,161 -78.8,161 -77.9,161 -77,162.9 -77,164.8 -77,166.7 -77,168.6 -77,170.5 -77,172.4 -77,174.3 -77,176.2 -77,178.1 -77,-180 -77))"], "date_created": "Wed, 22 May 2024 00:00:00 GMT", "description": "This Shallow Ice Radar (SIR) dataset is from the Frequency Modulated Continuous Wave (LFMCW) radar system on board the IcePod while deployed with the ROSETTA-Ice project during the austral summers of November 2015 - December 2017. SIR data was collected along the ROSETTA-Ice Survey Grid where possible. More detailed information is included in the ReadMe. This data was processed at Lamont-Doherty Earth Observatory using MATLAB scripts developed in-house by Tejendra Dhakal and Nicholas Frearson, using CReSIS 2013/14 MCoRDS scripts as a foundation. All levels of processed data are Matfiles as a result.\r\nIncluded in this dataset are the following: \r\n* SIR level1a Matfiles separated by ROSETTA-Ice Survey Grid Line Number;\r\n* SIR long-line images at 300dpi (PNGs) for easy data viewing, rendered in MATLAB from level1 data;\r\n* SIR internal reflector digitization picks (CSV), rendered manually using MATLAB picking scripts;\r\n* SIR digitization frame images (picked and un-picked) as JPGs output from picking process", "east": -150.0, "geometry": ["POINT(-174.5 -81.5)"], "keywords": "Antarctica; Cryosphere; Remote Sensing; Ross Ice Shelf", "locations": "Ross Ice Shelf; Antarctica", "north": -77.0, "nsf_funding_programs": "Antarctic Instrumentation and Support; Antarctic Integrated System Science; Antarctic Astrophysics and Geospace Sciences", "persons": "Cordero, Isabel; Frearson, Nicholas; Dhakal, Tejendra; Bertinato, Christopher; Chu, Winnie; Keeshin, Skye; Wearing, Martin; Spergel, Julian; Packard, Sarah; Dong, LingLing; Das, Indrani; Bell, Robin", "project_titles": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE); Development of an Ice Imaging System for Monitoring Changing Ice Sheets Mounted on the NYANG LC-130", "projects": [{"proj_uid": "p0010035", "repository": "USAP-DC", "title": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE)"}, {"proj_uid": "p0010462", "repository": "USAP-DC", "title": "Development of an Ice Imaging System for Monitoring Changing Ice Sheets Mounted on the NYANG LC-130"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -86.0, "title": "Shallow Ice Radar (SIR) Dataset from Ross Ice Shelf (ROSETTA-Ice)", "uid": "601794", "west": 161.0}, {"awards": "1443534 Bell, Robin; 0958658 Bell, Robin; 1444690 Bell, Robin", "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 -86,178.1 -86,176.2 -86,174.3 -86,172.4 -86,170.5 -86,168.6 -86,166.7 -86,164.8 -86,162.9 -86,161 -86,161 -85.1,161 -84.2,161 -83.3,161 -82.4,161 -81.5,161 -80.6,161 -79.7,161 -78.8,161 -77.9,161 -77,162.9 -77,164.8 -77,166.7 -77,168.6 -77,170.5 -77,172.4 -77,174.3 -77,176.2 -77,178.1 -77,-180 -77))"], "date_created": "Mon, 20 May 2024 00:00:00 GMT", "description": "This Deep ICE (DICE) radar dataset is from the pulse-chirp depth sounding radar system on board the IcePod while deployed with the ROSETTA-Ice Project during the austral summers of November 2015 - December 2017. DICE data was collected along the ROSETTA-Ice Survey grid where possible. More detailed information is included in the ReadMe, including flight lines with data loss. DICE is a dual channel sensor with pulse-chirp rate of 1us and 3us, which means the data can be processed in four pulse/channel configurations: 1usCh1, 3usCh1, 1usCh2, and 3usCh2. The included dataset is 3usCh1 DICE, which is the preferred configuration. The preferred configuration is 3usCh1, which is included in this dataset. This data was processed at Lamont-Doherty Earth Observatory using MATLAB scripts developed in-house by Tejendra Dhakal and Nicholas Frearson, with CReSIS 2014 MCoRDS scripts as a foundation. As such, all processed levels of this data product are Matfiles. Included in this dataset are the following:\r\n* DICE level2a data Matfiles, separated by ROSETTA-Ice Survey Grid Line Number;\r\n* DICE long-line images at 300dpi (PNGs) for easy data viewing rendered in MATLAB from level2 data;\r\n* DICE Ice Base digitization picks, rendered manually using MATLAB picking script;\r\n* DICE digitization frame images (picked and un-picked) as JPGs output from picking process", "east": -150.0, "geometry": ["POINT(-174.5 -81.5)"], "keywords": "Airborne Radar; Antarctica; Cryosphere; Ice Thickness; Remote Sensing; Ross Ice Shelf", "locations": "Ross Ice Shelf; Antarctica", "north": -77.0, "nsf_funding_programs": "Antarctic Integrated System Science; Antarctic Astrophysics and Geospace Sciences; Antarctic Instrumentation and Support", "persons": "Cordero, Isabel; Frearson, Nicholas; Dhakal, Tejendra; Bertinato, Christopher; Millstein, Joanna; Wilner, Joel; Dong, LingLing; Das, Indrani; Spergel, Julian; Chu, Winnie; Bell, Robin", "project_titles": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE); Development of an Ice Imaging System for Monitoring Changing Ice Sheets Mounted on the NYANG LC-130", "projects": [{"proj_uid": "p0010035", "repository": "USAP-DC", "title": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE)"}, {"proj_uid": "p0010462", "repository": "USAP-DC", "title": "Development of an Ice Imaging System for Monitoring Changing Ice Sheets Mounted on the NYANG LC-130"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -86.0, "title": "Deep ICE (DICE) Radar Dataset from Ross Ice Shelf (ROSETTA-Ice)", "uid": "601789", "west": 161.0}, {"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": "Antarctica; McMurdo Dry Valleys", "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": 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 Oct 2023 00:00:00 GMT", "description": "Blue-ice areas (BIAs) and their geographical distribution in Antarctica were mapped using Landsat-7 ETM+ images with 15 m spatial resolution obtained during the 1999\u20132003 austral summers and covering the area north of 82.5\u00b0 S, and a snow grain-size image of the MODIS-based Mosaic of Antarctica (MOA) dataset with 125 m grid spacing acquired during the 2003/04 austral summer from 82.5\u00b0S to the South Pole. A map of BIAs was created with algorithms of thresholds based on band ratio and reflectance for ETM+ data and thresholds based on snow grain size for the MOA dataset. The underlying principle is that blue ice can be separated from snow or rock by their spectral discrepancies and by different grain sizes of snow and ice. We estimate the total area of BIAs in Antarctica during the data acquisition period is 234 549 km2, or 1.67% of the area of the continent. Blue ice is scattered widely over the continent but is generally located in coastal or mountainous regions. The BIA dataset presented in this study is the first map covering the entire Antarctic continent sourced solely from ETM+ and MODIS data. Support by National Natural Science Foundation of China (grant No. 41106157) and NASA grant NNX10AL42G (nsidc0549_hui_V0).", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Blue Ice; GIS; Glaciology; LANDSAT; MODIS; Remote Sensing; Snow/ice; Snow/Ice", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": null, "persons": "Hui, Fengming; Scambos, Ted", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -90.0, "title": "Distribution of blue ice areas in Antarctica derived from Landsat ETM+ and Modis images", "uid": "601742", "west": -180.0}, {"awards": "1933764 Enderlin, Ellyn; 1643455 Enderlin, Ellyn", "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, 06 Apr 2023 00:00:00 GMT", "description": "This dataset includes manually-extracted iceberg geometries and meltwater fluxes from 2011-2022 WorldView digital elevation model time series for 15 study sites around Antarctica. Each file contains the coordinates, median surface elevation, density, volume, surface area, draft, and submerged area estimated for an iceberg on two different observation dates (specified in the file name). The submarine meltwater flux for each iceberg, calculated as the volume change over time corrected for surface mass balance processes and creep thinning between observation dates, is provided for each iceberg. Dates listed in file names are in YYYYMMDDhhmmss format. Site abbreviations in file names are as follows: BG = Blanchard Glacier, CG = Cadman Glacier, FG = Ferrigno Glacier, FI = Filchner Ice Shelf, HG = Heim Glacier, LA = Edgeworth Glacier (Larsen A tributary), LB = Cadman Glacier (Larsen B tributary), LG = Leonardo Glacier, MI = Mertz Ice Tongue, PT = Polar Times, RI = Ronne Ice Shelf, SG = Seller Glacier, TG = Thwaites Glacier, TI = Totten Ice Shelf, and WG = Widdowson Glacier.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Elevation; Glaciology; Iceberg; Meltwater; Submarine Melt", "locations": "Antarctica; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Enderlin, Ellyn; Dickson, Adam; Miller, Emily; Dryak, Mariama; Oliver, Caitlin; Aberle, Rainey", "project_titles": "Antarctic Submarine Melt Variability from Remote Sensing of Icebergs", "projects": [{"proj_uid": "p0010210", "repository": "USAP-DC", "title": "Antarctic Submarine Melt Variability from Remote Sensing of Icebergs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Remotely-sensed iceberg geometries and meltwater fluxes", "uid": "601679", "west": -180.0}, {"awards": "1744584 Klein, Andrew", "bounds_geometry": ["POLYGON((-70 -61,-69 -61,-68 -61,-67 -61,-66 -61,-65 -61,-64 -61,-63 -61,-62 -61,-61 -61,-60 -61,-60 -61.8,-60 -62.6,-60 -63.4,-60 -64.2,-60 -65,-60 -65.8,-60 -66.6,-60 -67.4,-60 -68.2,-60 -69,-61 -69,-62 -69,-63 -69,-64 -69,-65 -69,-66 -69,-67 -69,-68 -69,-69 -69,-70 -69,-70 -68.2,-70 -67.4,-70 -66.6,-70 -65.8,-70 -65,-70 -64.2,-70 -63.4,-70 -62.6,-70 -61.8,-70 -61))"], "date_created": "Wed, 11 Jan 2023 00:00:00 GMT", "description": "This dataset a CSV file containing the percentages of water (non-land) pixels within various sized buffers (100, 300, 3,000 and 10,000 m radii) buffers around fifteen sampling sites that were classified as being either Sea Ice or Cloud in the Antarctic Landsat Views collection housed within Esri\u2019s curated Living Atlas of the world which is a collection of ready-to-use global geographic content. The encompass a portion of the Western Antarctic Peninsula. This dataset was developed in support of projects ANT-1744550, -744570, -1744584, and -1744602.", "east": -60.0, "geometry": ["POINT(-65 -65)"], "keywords": "Antarctica; Antarctic Peninsula; GIS; LANDSAT; LMG1904; Remote Sensing; R/v Laurence M. Gould", "locations": "Antarctica; Antarctic Peninsula", "north": -61.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Klein, Andrew", "project_titles": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity", "projects": [{"proj_uid": "p0010104", "repository": "USAP-DC", "title": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.0, "title": "Landsat Sea Ice/Cloud classifications surrounding project study sites", "uid": "601654", "west": -70.0}, {"awards": "1744584 Klein, Andrew", "bounds_geometry": ["POLYGON((-70 -61,-69 -61,-68 -61,-67 -61,-66 -61,-65 -61,-64 -61,-63 -61,-62 -61,-61 -61,-60 -61,-60 -61.8,-60 -62.6,-60 -63.4,-60 -64.2,-60 -65,-60 -65.8,-60 -66.6,-60 -67.4,-60 -68.2,-60 -69,-61 -69,-62 -69,-63 -69,-64 -69,-65 -69,-66 -69,-67 -69,-68 -69,-69 -69,-70 -69,-70 -68.2,-70 -67.4,-70 -66.6,-70 -65.8,-70 -65,-70 -64.2,-70 -63.4,-70 -62.6,-70 -61.8,-70 -61))"], "date_created": "Thu, 29 Dec 2022 00:00:00 GMT", "description": "This cvs dataset contains time series of sea ice concentrations from four remote sensing derived products \u2013 the Sea Ice Index (Sea Ice Index), AMSR2 and AMSR-E, and National Ice Center NIC Charts. The dataset consists of the daily (or weekly in the case of NIC) timeseries for the available period of record beginning in 1979 for the Sea Ice Index and extending until April 1, 2019. The sea ice concentrations were extracted from the nearest corresponding pixels from the fifteen study sites associated with visited by projects ANT-1744550, -1744570, -1744584, and -1744602 during ARSV Laurence M. Gould cruise LMG 19-04 in April and May 2019. In addition to the original time series, five-year annual means starting on April 1st are computed for the Sea Ice Index, AMSR2 and NIC datasets all of which covered the 2014-2019 period. These five-year means include both annual and summer (October-February).", "east": -60.0, "geometry": ["POINT(-65 -65)"], "keywords": "Antarctica; Antarctic Peninsula; Biota; LMG1904; R/v Laurence M. Gould; Sea Ice Concentration", "locations": "Antarctica; Antarctic Peninsula; Antarctica", "north": -61.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Klein, Andrew", "project_titles": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity", "projects": [{"proj_uid": "p0010104", "repository": "USAP-DC", "title": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.0, "title": "Sea Ice Concentration Timeseries for study sites", "uid": "601642", "west": -70.0}, {"awards": "1744584 Klein, Andrew", "bounds_geometry": ["POLYGON((-70 -61,-69 -61,-68 -61,-67 -61,-66 -61,-65 -61,-64 -61,-63 -61,-62 -61,-61 -61,-60 -61,-60 -61.8,-60 -62.6,-60 -63.4,-60 -64.2,-60 -65,-60 -65.8,-60 -66.6,-60 -67.4,-60 -68.2,-60 -69,-61 -69,-62 -69,-63 -69,-64 -69,-65 -69,-66 -69,-67 -69,-68 -69,-69 -69,-70 -69,-70 -68.2,-70 -67.4,-70 -66.6,-70 -65.8,-70 -65,-70 -64.2,-70 -63.4,-70 -62.6,-70 -61.8,-70 -61))"], "date_created": "Thu, 29 Dec 2022 00:00:00 GMT", "description": "This csv dataset contains diffuse attenuation coefficients (units: m-1) from the Visible Infrared Imaging Radiometer Suite (VIIRS) Kd(490) product. The values are from the nearest corresponding pixels from the fifteen study sites associated with visited by projects ANT-1744550, -1744570, -1744584, and -1744602 during ARSV Laurence M. Gould cruise LMG 19-04 in April and May 2019. \r\nThese attenuation coefficients were generated by the NOAA CoastWatch/OceanWatch program. They are remote sensing estimates of diffuse attenuation coefficients at a 490 nm wavelength in for approximately 4x4 km cells using the algorithm described in (Wang et al., 2017).\r\nThe dataset includes January-February-March (JFM), October-November-December (OND) as well as October to March averages for each site. OND averages are not available for all sites and therefore are not included in the October-March averages. An indication of the distance from the site to the nearest pixel with a Kd(490) observation is noted.\r\nWang, M., X. Liu, L. Jiang, and S. Son. 2017. Algorithm Theoretical Basis Document (ATBD), The VIIRS Ocean Color Products, Algorithm Theoretical Basis Document Version 1.0.", "east": -60.0, "geometry": ["POINT(-65 -65)"], "keywords": "Antarctica; Biota; Diffuse Attenuation Coefficient; LMG1904; R/v Laurence M. Gould; Turbidity", "locations": "Antarctica", "north": -61.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Klein, Andrew", "project_titles": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity", "projects": [{"proj_uid": "p0010104", "repository": "USAP-DC", "title": "Collaborative Research: Sea ice as a driver of Antarctic benthic macroalgal community composition and nearshore trophic connectivity"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.0, "title": "VIIRS KD(490) diffuse attenuation coefficients for study sites", "uid": "601640", "west": -70.0}, {"awards": "1933764 Enderlin, Ellyn", "bounds_geometry": ["POLYGON((-63.1 -65.2,-62.99 -65.2,-62.88 -65.2,-62.77 -65.2,-62.660000000000004 -65.2,-62.55 -65.2,-62.44 -65.2,-62.33 -65.2,-62.22 -65.2,-62.11 -65.2,-62 -65.2,-62 -65.24000000000001,-62 -65.28,-62 -65.32,-62 -65.36,-62 -65.4,-62 -65.44,-62 -65.47999999999999,-62 -65.52,-62 -65.56,-62 -65.6,-62.11 -65.6,-62.22 -65.6,-62.33 -65.6,-62.44 -65.6,-62.55 -65.6,-62.660000000000004 -65.6,-62.77 -65.6,-62.88 -65.6,-62.99 -65.6,-63.1 -65.6,-63.1 -65.56,-63.1 -65.52,-63.1 -65.47999999999999,-63.1 -65.44,-63.1 -65.4,-63.1 -65.36,-63.1 -65.32,-63.1 -65.28,-63.1 -65.24000000000001,-63.1 -65.2))"], "date_created": "Mon, 24 Oct 2022 00:00:00 GMT", "description": "This dataset contains observed and modeled conditions along the Crane Glacier centerline for ~1994\u20142100. Observations include centerline (cl) coordinates, downscaled RACMO climate variables (runoff, snowfall, snowmelt, and surface mass balance), bed elevations (b), surface elevations (h), glacier width (W), calving front positions (xcf), and surface speeds (U) when available for the 1994\u20142019 period. Modeling results include glacier centerline geometry, speed, glacier mass discharge (Q_gl), and calving front and grounding line positions (x_cf and x_gl) under different future climate scenarios with varying surface mass balance (SMB), ocean thermal forcing (FT), SMB with potential feedbacks associated with enhanced surface melt water discharge and plume strengthening (SMB_enh), and concurrent SMB_enh and FT perturbations (SMB_enh_FT). Data are in \u201c.mat\u201d format, which can be read using MATLAB\u2019s \u201cload\u201d function or using Python with the Scipy \u201cscipy.io.loadmat\u201d function. ", "east": -62.0, "geometry": ["POINT(-62.55 -65.4)"], "keywords": "Antarctica; Antarctic Peninsula; Crane Glacier; Glacier Dynamics; Glacier Mass Discharge; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Modeling; Model Output", "locations": "Antarctica; Antarctic Peninsula; Crane Glacier", "north": -65.2, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Aberle, Rainey; Enderlin, Ellyn; Marshall, Hans-Peter; Kopera, Michal; Meehan, Tate", "project_titles": "Antarctic Submarine Melt Variability from Remote Sensing of Icebergs", "projects": [{"proj_uid": "p0010210", "repository": "USAP-DC", "title": "Antarctic Submarine Melt Variability from Remote Sensing of Icebergs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -65.6, "title": "Crane Glacier centerline observations and modeling results ", "uid": "601617", "west": -63.1}, {"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 dataset includes density, temperature, grain size, and layer thickness measurements collected from various projects available on USAP-DC. Depth listings were recalculated to reflect measurements from the surface of the ice to the deep ice if they were not listed as such in the original dataset. Non-linear least-squares regression was performed on the data to find parameters to existing depth-dependent density and grain size models and the regression results are provided in this dataset. Data is made available in MATLAB and XLSX files. See \u201cinsituData_readMe\u201d for more details.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Antarctic Ice Sheet", "locations": "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": "In-Situ Density, Temperature, Grain Size, and Layer Thickness data for the Antarctic Ice Sheet", "uid": "601551", "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": "Antarctic Ice Sheet; Antarctica; Vostok", "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": "0733025 Blankenship, Donald; 1443690 Young, Duncan; 0424589 Gogineni, S. Prasad; 0941678 ", "bounds_geometry": ["POLYGON((114 -74,115.2 -74,116.4 -74,117.6 -74,118.8 -74,120 -74,121.2 -74,122.4 -74,123.6 -74,124.8 -74,126 -74,126 -74.3,126 -74.6,126 -74.9,126 -75.2,126 -75.5,126 -75.8,126 -76.1,126 -76.4,126 -76.7,126 -77,124.8 -77,123.6 -77,122.4 -77,121.2 -77,120 -77,118.8 -77,117.6 -77,116.4 -77,115.2 -77,114 -77,114 -76.7,114 -76.4,114 -76.1,114 -75.8,114 -75.5,114 -75.2,114 -74.9,114 -74.6,114 -74.3,114 -74))"], "date_created": "Fri, 18 Dec 2020 00:00:00 GMT", "description": "The data set published here consists of 26 ice-penetrating radar IRHs (internal reflecting horizons) which were traced across multiple ice-penetrating radar surveys that deployed several generations of modern ice-penetrating radar sounders over a decade, between 2008 and 2018, over the Dome C region of the East Antarctic Plateau. The data set is associated to publication: Cavitte, M. G. P, Young, D. A, Mulvaney, R., Ritz, C., Greenbaum, J. S., Ng, G., Kempf, S. D., Quartini, E., Muldoon, G. R., Paden, J., Frezzotti, M., Roberts, J. L. , Tozer, C. R. , Schroeder, D. M. and Blankenship, D. D. A detailed radiostratigraphic data set for the central East Antarctic Plateau spanning from the Holocene to the mid-Pleistocene, Earth Syst. Sci. Data, 13, 4759\u20134777, 2021, https://doi.org/10.5194/essd-13-4759-2021.\r\n\r\nWe can subdivide the radar sounders used into three sets. The primary set was collected by the University of Texas at Austin Institute for Geophysics (UTIG) and the Australian Antarctic Division (AAD) as part of the ICECAP project) between 2008 and 2015. This includes the Oldest Ice candidate A (OIA) survey flown by ICECAP in January 2016. Data were collected with the High Capacity Airborne Radar Sounder (HiCARS) 1 \u0026 2 and its Multifrequency Airborne Radar-sounder for Full-phase Assessment (MARFA) descendant. The data was collected from a DC-3T Basler which operated from Concordia Station. \r\n\r\nThe second set consists of the Vostok-Dome C airborne radar transect was flown by the Center for Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas using the Multi-Channel Coherent Radar Depth Sounder (MCoRDS) in a single flight line in 2013. A P-3 Orion operating from McMurdo Station collected these data as part of NASA Operation Ice Bridge. \r\n\r\nThe third set consists of a subset of the LDC ground-based radar survey, towed behind a PistenBully PB300 tractor, collected by the Beyond EPICA - Oldest Ice (BE-OI) European Consortium using the British Antarctic Survey\u2019s (BAS) Deep Looking Radio Echo Sounder (DELORES) radar system. Each IRH has been traced in all three radar sets and is published here as a single csv and netcdf file. Formats are self-documented in these csv/netcdf files. \r\n\r\nWhere HiCARS and MCoRDS radar transects are used, the IRH is provided at a 1 km spatial resolution, where DELORES radar transects are used, the IRH is provided at a 250 m spatial resolution. \r\n\r\nThe 26 IRHs published here were traced semi-automatically by first author Marie Cavitte, using Landmark\u0027s Decision Space Desktop software and its built-in picker. \r\n\r\nThe IRHs are dated at the EDC ice core using the AICC2012 timescale (Veres et al., 2013; Bazin et al., 2013). \r\n\r\nIce core ages are transferred onto the IRHs on radar transect MCM/JKB1a/EDMC01a at distance_m (column in the data sets) = 110.153 m along the transect. That radar point of closest approach is 94\u2009m away from the ice core site. Depth and age uncertainties associated to each IRH are quantified n the associated publication: Cavitte, M. G. P, Young, D. A, Mulvaney, R., Ritz, C., Greenbaum, J. S., Ng, G., Kempf, S. D., Quartini, E., Muldoon, G. R., Paden, J., Frezzotti, M., Roberts, J. L. , Tozer, C. R. , Schroeder, D. M. and Blankenship, D. D. A detailed radiostratigraphic data set for the central East Antarctic Plateau spanning from the Holocene to the mid-Pleistocene, Earth Syst. Sci. Data, 13, 4759\u20134777, 2021, https://doi.org/10.5194/essd-13-4759-2021. \r\n\n\r\n\r\nBesides NSF this dataset is the result of additional support from NERC grant - NE/D003733/1, NASA grants - NX08AN68G, NNX09AR52G, NNX11AD33G, NNX13AD53A, and funding from the G. Unger Vetlesen Foundation.\n\n\\nNote that the dataset was archived before the accompanying paper was officially published. The abstract and dataset description has been updated to cite the correct reference to the ESSD paper (Cavitte et al., 2021) after the paper was published. The headers of the actual data files contain only a placeholder to this reference.", "east": 126.0, "geometry": ["POINT(120 -75.5)"], "keywords": "Antarctica; East Antarctic Plateau; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; ICECAP; Ice Penetrating Radar; Internal Reflecting Horizons", "locations": "East Antarctic Plateau; Antarctica", "north": -74.0, "nsf_funding_programs": "Antarctic Earth Sciences; Antarctic Earth Sciences; Antarctic Glaciology", "persons": "Cavitte, Marie G. P; Young, Duncan A.; Mulvaney, Robert; Ritz, Catherine; Greenbaum, Jamin; Ng, Gregory; Kempf, Scott D.; Quartini, Enrica; Muldoon, Gail R.; Paden, John; Frezzotti, Massimo; Roberts, Jason; Tozer, Carly; Schroeder, Dustin; Blankenship, Donald D.", "project_titles": "Center for Remote Sensing of Ice Sheets (CReSIS); Collaborative Research: Southern Plateau Ice-sheet Characterization and Evolution of the Central Antarctic Plate (SPICECAP); IPY Research: Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP)", "projects": [{"proj_uid": "p0010115", "repository": "USAP-DC", "title": "Collaborative Research: Southern Plateau Ice-sheet Characterization and Evolution of the Central Antarctic Plate (SPICECAP)"}, {"proj_uid": "p0000102", "repository": "USAP-DC", "title": "Center for Remote Sensing of Ice Sheets (CReSIS)"}, {"proj_uid": "p0000719", "repository": "USAP-DC", "title": "IPY Research: Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "Dome C Ice Core", "south": -77.0, "title": "Ice-penetrating radar internal stratigraphy over Dome C and the wider East Antarctic Plateau", "uid": "601411", "west": 114.0}, {"awards": "1443677 Padman, Laurence; 9896041 Padman, Laurence", "bounds_geometry": ["POLYGON((-180 -40.231,-144 -40.231,-108 -40.231,-72 -40.231,-36 -40.231,0 -40.231,36 -40.231,72 -40.231,108 -40.231,144 -40.231,180 -40.231,180 -45.2079,180 -50.1848,180 -55.1617,180 -60.1386,180 -65.1155,180 -70.0924,180 -75.0693,180 -80.0462,180 -85.0231,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.0231,-180 -80.0462,-180 -75.0693,-180 -70.0924,-180 -65.1155,-180 -60.1386,-180 -55.1617,-180 -50.1848,-180 -45.2079,-180 -40.231))"], "date_created": "Thu, 19 Dec 2019 00:00:00 GMT", "description": "CATS2008 is a regional inverse barotropic tide model for the circum-Antarctic ocean on a 4 km grid. The model domain includes ocean cavities under the floating ice shelves. The coastline is based on the MODIS MOA [Scambos et al., 2007; Remote Sensing of Environment] feature identification files, adjusted to match ICESat-derived grounding lines for the Ross and Filchner-Ronne ice shelves and Interferometric Synthetic Aperture Radar (InSAR) grounding lines. The water depth map for open water is based on the 2007 release update to Smith and Sandwell [1997; Science]. Adjustments to this map have been made in various regions, including the open continental shelf in front of the Larsen-C Ice Shelf which has been blended with GEBCO bathymetry.\r\n\nModel type: Tides only; Inverse (data assimilation); barotropic (no vertical variation of currents). \nGrid: 4-km uniform polar stereographic (centered at 71 degrees S, 70 degrees W) \nConstituents: M2, S2, N2, K2, K1, O1, P1, Q1, Mf, Mm. \nUnits: z (sea surface height; meters); u,v (currents; cm/s); U,V (transports; m2/s). \nCoordinates: Currents (u, v) and depth-integrated transports (U, V) are given as East (u, U) and North (v, V) components. \nCitation: \"\u2026 an update to the inverse model described by Padman et al. [2002].\" \n\nSee CATS2008_README.pdf for further details.\r", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Inverse Modeling; Model Data; Ocean Currents; Sea Surface; Tidal Models; Tides", "locations": "Sea Surface; Antarctica", "north": -40.231, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "persons": "Howard, Susan L.; Padman, Laurence; Erofeeva, Svetlana", "project_titles": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE); Ocean Tides around Antarctica and in the Southern Ocean", "projects": [{"proj_uid": "p0010035", "repository": "USAP-DC", "title": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE)"}, {"proj_uid": "p0010116", "repository": "USAP-DC", "title": "Ocean Tides around Antarctica and in the Southern Ocean"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "CATS2008: Circum-Antarctic Tidal Simulation version 2008", "uid": "601235", "west": -180.0}, {"awards": "1758224 Salvatore, Mark", "bounds_geometry": ["POLYGON((-180 -83,-177 -83,-174 -83,-171 -83,-168 -83,-165 -83,-162 -83,-159 -83,-156 -83,-153 -83,-150 -83,-150 -83.5,-150 -84,-150 -84.5,-150 -85,-150 -85.5,-150 -86,-150 -86.5,-150 -87,-150 -87.5,-150 -88,-153 -88,-156 -88,-159 -88,-162 -88,-165 -88,-168 -88,-171 -88,-174 -88,-177 -88,180 -88,177 -88,174 -88,171 -88,168 -88,165 -88,162 -88,159 -88,156 -88,153 -88,150 -88,150 -87.5,150 -87,150 -86.5,150 -86,150 -85.5,150 -85,150 -84.5,150 -84,150 -83.5,150 -83,153 -83,156 -83,159 -83,162 -83,165 -83,168 -83,171 -83,174 -83,177 -83,-180 -83))"], "date_created": "Fri, 15 Mar 2019 00:00:00 GMT", "description": "This data set contains reflectance spectra (350 - 2500 nm) of a range of rocks and sediments from the Central Transantarctic Mountains. Data were acquired using an Analytical Spectral Devices (ASD) FieldSpec4 high-resolution spectrometer under illumination with a high-output halogen bulb, with illumination and observation angles fixed at 0 and 30 degrees off-nadir, respectively. Data were acquired for the purposes of validation and \u0027ground truthing\u0027 of orbital multispectral data.", "east": -150.0, "geometry": ["POINT(180 -85.5)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Remote Sensing; Rocks; Solid Earth; Spectroscopy; Transantarctic Mountains", "locations": "Transantarctic Mountains; Antarctica", "north": -83.0, "nsf_funding_programs": "Antarctic Earth Sciences", "persons": "Salvatore, Mark", "project_titles": "EAGER: Surface Variability and Spectral Analyses of the Central Transantarctic Mountains, Antarctica", "projects": [{"proj_uid": "p0010020", "repository": "USAP-DC", "title": "EAGER: Surface Variability and Spectral Analyses of the Central Transantarctic Mountains, Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -88.0, "title": "Laboratory Hyperspectral Reflectance Data of Central Transantarctic Mountain Rocks and Sediments", "uid": "601163", "west": 150.0}, {"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": "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": "0424589 Gogineni, S. Prasad", "bounds_geometry": ["POLYGON((163.9 -76.5,164.09 -76.5,164.28 -76.5,164.47 -76.5,164.66 -76.5,164.85 -76.5,165.04 -76.5,165.23 -76.5,165.42 -76.5,165.61 -76.5,165.8 -76.5,165.8 -76.57,165.8 -76.64,165.8 -76.71,165.8 -76.78,165.8 -76.85,165.8 -76.92,165.8 -76.99,165.8 -77.06,165.8 -77.13,165.8 -77.2,165.61 -77.2,165.42 -77.2,165.23 -77.2,165.04 -77.2,164.85 -77.2,164.66 -77.2,164.47 -77.2,164.28 -77.2,164.09 -77.2,163.9 -77.2,163.9 -77.13,163.9 -77.06,163.9 -76.99,163.9 -76.92,163.9 -76.85,163.9 -76.78,163.9 -76.71,163.9 -76.64,163.9 -76.57,163.9 -76.5))"], "date_created": "Mon, 28 Aug 2017 00:00:00 GMT", "description": "The Snow Radar data set contains L1B Geolocated Radar Echo Strength Profiles over Antarctica taken with the CReSIS snow radar.\r\r\nThe L1B data set includes echograms with measurements for time, latitude, longitude, elevation, as well as flight path charts and echogram images.", "east": 165.8, "geometry": ["POINT(164.85 -76.85)"], "keywords": "Airborne Radar; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Navigation; Radar; Snow", "locations": "Antarctica", "north": -76.5, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Paden, John; Leuschen, Carl; Rodriguez, Fernando; Li, Jilu; Allen, Chris; Gogineni, Prasad", "project_titles": "Center for Remote Sensing of Ice Sheets (CReSIS)", "projects": [{"proj_uid": "p0000102", "repository": "USAP-DC", "title": "Center for Remote Sensing of Ice Sheets (CReSIS)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.2, "title": "Snow Radar Echograms", "uid": "601049", "west": 163.9}, {"awards": "0424589 Gogineni, S. Prasad", "bounds_geometry": ["POLYGON((143 -76.5,145.61 -76.5,148.22 -76.5,150.83 -76.5,153.44 -76.5,156.05 -76.5,158.66 -76.5,161.27 -76.5,163.88 -76.5,166.49 -76.5,169.1 -76.5,169.1 -77.07,169.1 -77.64,169.1 -78.21,169.1 -78.78,169.1 -79.35,169.1 -79.92,169.1 -80.49,169.1 -81.06,169.1 -81.63,169.1 -82.2,166.49 -82.2,163.88 -82.2,161.27 -82.2,158.66 -82.2,156.05 -82.2,153.44 -82.2,150.83 -82.2,148.22 -82.2,145.61 -82.2,143 -82.2,143 -81.63,143 -81.06,143 -80.49,143 -79.92,143 -79.35,143 -78.78,143 -78.21,143 -77.64,143 -77.07,143 -76.5))"], "date_created": "Mon, 28 Aug 2017 00:00:00 GMT", "description": "The Ku-band Radar data set contains L1B Geolocated Radar Echo Strength Profiles over Antarctica taken with the CReSIS Ku-band Radar. The L1B data set includes echograms with measurements for time, latitude, longitude, elevation, as well as flight path charts and echogram images.", "east": 169.1, "geometry": ["POINT(156.05 -79.35)"], "keywords": "Airborne Radar; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ku-Band; Navigation; Radar", "locations": "Antarctica", "north": -76.5, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Paden, John; Leuschen, Carl; Rodriguez, Fernando; Li, Jilu; Allen, Chris; Gogineni, Prasad", "project_titles": "Center for Remote Sensing of Ice Sheets (CReSIS)", "projects": [{"proj_uid": "p0000102", "repository": "USAP-DC", "title": "Center for Remote Sensing of Ice Sheets (CReSIS)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -82.2, "title": "Ku-band Radar Echograms", "uid": "601048", "west": 143.0}, {"awards": "0424589 Gogineni, S. Prasad", "bounds_geometry": ["POLYGON((143 -74.2,155.9 -74.2,168.8 -74.2,181.7 -74.2,194.6 -74.2,207.5 -74.2,220.4 -74.2,233.3 -74.2,246.2 -74.2,259.1 -74.2,272 -74.2,272 -75.5,272 -76.8,272 -78.1,272 -79.4,272 -80.7,272 -82,272 -83.3,272 -84.6,272 -85.9,272 -87.2,259.1 -87.2,246.2 -87.2,233.3 -87.2,220.4 -87.2,207.5 -87.2,194.6 -87.2,181.7 -87.2,168.8 -87.2,155.9 -87.2,143 -87.2,143 -85.9,143 -84.6,143 -83.3,143 -82,143 -80.7,143 -79.4,143 -78.1,143 -76.8,143 -75.5,143 -74.2))"], "date_created": "Mon, 28 Aug 2017 00:00:00 GMT", "description": "The MCoRDS data set contains L1B Geolocated Radar Echo Strength Profile Images and L2 Ice Thickness, Ice Surface, and Ice Bottom elevations over Antarctica taken with the CReSIS Radar Depth Sounders (RDS). The L1B data set includes measurements for echograms, time, latitude, longitude, elevation, as well as flight path charts and echogram images.The L2 data set includes measurements for time, latitude, longitude, elevation, surface, bottom, and thickness.", "east": 272.0, "geometry": ["POINT(-152.5 -80.7)"], "keywords": "Airborne Radar; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; MCoRDS; Navigation; Radar", "locations": "Antarctica", "north": -74.2, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Paden, John; Leuschen, Carl; Rodriguez, Fernando; Li, Jilu; Allen, Chris; Gogineni, Prasad", "project_titles": "Center for Remote Sensing of Ice Sheets (CReSIS)", "projects": [{"proj_uid": "p0000102", "repository": "USAP-DC", "title": "Center for Remote Sensing of Ice Sheets (CReSIS)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -87.2, "title": "Radar Depth Sounder Echograms and Ice Thickness", "uid": "601047", "west": 143.0}, {"awards": "0424589 Gogineni, S. Prasad", "bounds_geometry": ["POLYGON((163.884 -76.567,171.5583 -76.567,179.2326 -76.567,186.9069 -76.567,194.5812 -76.567,202.2555 -76.567,209.9298 -76.567,217.6041 -76.567,225.2784 -76.567,232.9527 -76.567,240.627 -76.567,240.627 -77.3847,240.627 -78.2024,240.627 -79.0201,240.627 -79.8378,240.627 -80.6555,240.627 -81.4732,240.627 -82.2909,240.627 -83.1086,240.627 -83.9263,240.627 -84.744,232.9527 -84.744,225.2784 -84.744,217.6041 -84.744,209.9298 -84.744,202.2555 -84.744,194.5812 -84.744,186.9069 -84.744,179.2326 -84.744,171.5583 -84.744,163.884 -84.744,163.884 -83.9263,163.884 -83.1086,163.884 -82.2909,163.884 -81.4732,163.884 -80.6555,163.884 -79.8378,163.884 -79.0201,163.884 -78.2024,163.884 -77.3847,163.884 -76.567))"], "date_created": "Wed, 28 Dec 2016 00:00:00 GMT", "description": "The Center for Remote Sensing of Ice Sheets (CReSIS) participated in an airborne radar survey using a BT-67 Basler aircraft over the Siple Coast of Antarctica. Five personnel deployed from November 29, 2013 to January 18, 2014 with USAP project# I-189-M. The major objective was to collect fine-resolution radar data with an ultra-wideband MCoRDS4 UHF/VHF radar depth sounder in conjunction with data from two microwave (Ku-band and Snow) radars and a Google Camera. This dataset includes reflection profiles for the three radars and ice surface and ice bottom picks for the radar depth sounder.", "east": 240.627, "geometry": ["POINT(-157.7445 -80.6555)"], "keywords": "Airborne Radar; Antarctica; Basler; Glaciers/ice Sheet; Glaciers/Ice Sheet; Kamb Ice Stream; Radar; Siple Coast; Whillans Ice Stream", "locations": "Siple Coast; Kamb Ice Stream; Antarctica; Whillans Ice Stream", "north": -76.567, "nsf_funding_programs": null, "persons": "Paden, John; Hale, Richard", "project_titles": "Center for Remote Sensing of Ice Sheets (CReSIS)", "projects": [{"proj_uid": "p0000102", "repository": "USAP-DC", "title": "Center for Remote Sensing of Ice Sheets (CReSIS)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -84.744, "title": "Airborne radar profiles of the Whillans, Bindschadler, and Kamb Ice Streams", "uid": "600384", "west": 163.884}, {"awards": "0838817 Kyle, Philip", "bounds_geometry": null, "date_created": "Fri, 01 Jan 2016 00:00:00 GMT", "description": "This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Mount Erebus is Antarctica\u0027s most active volcano that has been in a persistent state of activity for at least the last 35 years. It has a unique geochemistry among the Earth\u0027s active volcanoes and is also unique in hosting a persistent convecting lake(s) of anorthclase phonolite magma in its summit crater. The relative simplicity of the magmatic system, consistency of activity, and accessibility of close-range observation make Erebus attractive as a target for extensive studies. Although the Erebus\u0027 seismicity and eruptive activity and processes are becoming increasingly well understood over years of research, there is a near total lack of understanding its deeper magmatic system. The primary goal of this proposal is to continue supporting the Mt. Erebus Volcano Observatory (MEVO III) improving our current understanding of the Erebus eruptive and non-eruptive magmatic system using an integrated approach from geophysical, geochemical and remote sensing observations. This goal can be grouped into the following fundamental research objectives: (a) to sustain year-round surveillance of on-going volcanic activity primarily using geophysical observatories; (b) to understand processes within the convecting conduit which feeds the persistent lava lakes; and (c) to understand the impact of Erebus eruptive activity upon the Antarctic environment. Continued reliance on students provides a broader impact to this proposed research and firmly grounds this effort in its educational mission.", "east": null, "geometry": null, "keywords": "Antarctica; Cable Observatory; Intracontinental Magmatism; IntraContinental Magmatism; MEVO; Mount Erebus; Photo/video; Photo/Video; Ross Sea; Solid Earth; Volcano", "locations": "Ross Sea; Antarctica; Mount Erebus", "north": null, "nsf_funding_programs": null, "persons": "Kyle, Philip", "project_titles": "Mount Erebus Volcano Observatory III (MEVO III): Conduit Processes and Surveillance", "projects": [{"proj_uid": "p0000488", "repository": "USAP-DC", "title": "Mount Erebus Volcano Observatory III (MEVO III): Conduit Processes and Surveillance"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "MEVO", "south": null, "title": "Mount Erebus Volcano Observatory III (MEVO III): Conduit Processes and Surveillance", "uid": "600153", "west": null}, {"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": "Antarctica; Southern Ocean; Lake Whillans; 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": "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": "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": "1343649 Levy, Joseph", "bounds_geometry": ["POLYGON((162.852 -77.6111,162.9893 -77.6111,163.1266 -77.6111,163.2639 -77.6111,163.4012 -77.6111,163.5385 -77.6111,163.6758 -77.6111,163.8131 -77.6111,163.9504 -77.6111,164.0877 -77.6111,164.225 -77.6111,164.225 -77.65331,164.225 -77.69552,164.225 -77.73773,164.225 -77.77994,164.225 -77.82215,164.225 -77.86436,164.225 -77.90657,164.225 -77.94878,164.225 -77.99099,164.225 -78.0332,164.0877 -78.0332,163.9504 -78.0332,163.8131 -78.0332,163.6758 -78.0332,163.5385 -78.0332,163.4012 -78.0332,163.2639 -78.0332,163.1266 -78.0332,162.9893 -78.0332,162.852 -78.0332,162.852 -77.99099,162.852 -77.94878,162.852 -77.90657,162.852 -77.86436,162.852 -77.82215,162.852 -77.77994,162.852 -77.73773,162.852 -77.69552,162.852 -77.65331,162.852 -77.6111))"], "date_created": "Thu, 01 Jan 2015 00:00:00 GMT", "description": "The PIs propose to quantify the hillslope water, solute, and carbon budgets for Taylor Valley in the McMurdo Dry Valleys, using water tracks to investigate near-surface geological processes and challenge the paradigm that shallow groundwater is minimal or non-exixtant. Water tracks are linear zones of high soil moisture that route shallow groundwater downslope in permafrost dominated soils. Four hypotheses will be tested: 1) water tracks are important pathways for water and solute transport; 2) water tracks transport more dissolved silica than streams in Taylor Valley indicating they are the primary site of chemical weathering for cold desert soils and bedrock; 3) water tracks that drain highland terrains are dominated by humidity-separated brines while water tracks that drain lowland terrains are dominated by marine aerosols; 4) water tracks are the sites of the highest terrestrial soil carbon concentrations and the strongest CO2 fluxes in Taylor Valley and their carbon content increases with soil age, while carbon flux decreases with age. To test these hypotheses the PIs will carry out a suite of field measurements supported by modeling and remote sensing. They will install shallow permafrost wells in water tracks that span the range of geological, climatological, and topographic conditions in Taylor Valley. Multifrequency electromagnetic induction sounding of the upper ~1 m of the permafrost will create the first comprehensive map of soil moisture in Taylor Valley, and will permit direct quantification of water track discharge across the valley. The carbon contents of water track soils will be measured and linked to global carbon dynamics.\n\nNon-science majors at Oregon State University will be integrated into the proposed research through a new Global Environmental Change course focusing on the scientific method in Antarctica. Three undergraduate students, members of underrepresented minorities, will be entrained in the research, will contribute to all aspects of field and laboratory science, and will present results at national meetings.\n", "east": 164.225, "geometry": ["POINT(163.5385 -77.82215)"], "keywords": "Antarctica; Chemistry:soil; Chemistry:Soil; Critical Zone; Dry Valleys; Permafrost; Sample/collection Description; Sample/Collection Description; Well Measurements", "locations": "Dry Valleys; Antarctica", "north": -77.6111, "nsf_funding_programs": null, "persons": "Levy, Joseph", "project_titles": "Cryptic Hydrology of the McMurdo Dry Valleys: Water Track Contributions to Water and Geochemical Budgets in Taylor Valley, Antarctica", "projects": [{"proj_uid": "p0000407", "repository": "USAP-DC", "title": "Cryptic Hydrology of the McMurdo Dry Valleys: Water Track Contributions to Water and Geochemical Budgets in Taylor Valley, Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0332, "title": "Cryptic Hydrology of the McMurdo Dry Valleys: Water Track Contributions to Water and Geochemical Budgets in Taylor Valley, Antarctica", "uid": "600139", "west": 162.852}, {"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": "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": "Southern Ocean; Antarctica; McMurdo; Ross Island", "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": "0838850 Gooseff, Michael", "bounds_geometry": ["POLYGON((-163.3 -77.62,-163.202 -77.62,-163.104 -77.62,-163.006 -77.62,-162.908 -77.62,-162.81 -77.62,-162.712 -77.62,-162.614 -77.62,-162.516 -77.62,-162.418 -77.62,-162.32 -77.62,-162.32 -77.631,-162.32 -77.642,-162.32 -77.653,-162.32 -77.664,-162.32 -77.675,-162.32 -77.686,-162.32 -77.697,-162.32 -77.708,-162.32 -77.719,-162.32 -77.73,-162.418 -77.73,-162.516 -77.73,-162.614 -77.73,-162.712 -77.73,-162.81 -77.73,-162.908 -77.73,-163.006 -77.73,-163.104 -77.73,-163.202 -77.73,-163.3 -77.73,-163.3 -77.719,-163.3 -77.708,-163.3 -77.697,-163.3 -77.686,-163.3 -77.675,-163.3 -77.664,-163.3 -77.653,-163.3 -77.642,-163.3 -77.631,-163.3 -77.62))"], "date_created": "Tue, 01 Jan 2013 00:00:00 GMT", "description": "Two models have been proposed to describe controls over microbial biogeography. One model proposes that microbes are ubiquitously distributed across the global environment, and that environmental conditions select for taxa physiologically adapted to local physical conditions. An alternative model predicts that dispersal is the important limitation to the distribution of microorganisms and that spatial heterogeneity of microbial communities is a result of both dispersal and local environmental limitations. According to both models, spatial heterogeneity of microbial communities may be especially pronounced in extreme ecosystems where the environmental selection for organisms with suitable physiology is most strongly manifest. We propose that Antarctic terrestrial environments are ideal places to examine microbial biogeography for 3 reasons: 1) the pristine nature and remoteness of Antarctica minimizes the prevalence of exotic species dispersed through human vectors; 2) the extreme conditions of Antarctic environments provide a strong environmental filter which limits the establishment of non-indigenous taxa; and 3) extreme heterogeneity in the terrestrial environment provides natural gradients of soil conditions (temperature, water and nutrient availability). In the proposed research we will investigate the influence of snow on the composition and spatial distribution of soil microbial communities and linked biogeochemical cycling in the McMurdo Dry Valleys. We will conduct fieldwork at the landscape scale (repeated remote sensing to characterize snow distribution), at the valley and patch scales (quantify snow patch ablation, microbial communities and biogeochemical cycling in subnivian soils). We hypothesize that snow patches play an important role in structuring the spatial distribution of soil microbial communities and their associated ecosystem functioning because of the physical and hydrological influences that snow patches have on the soil environment. The research will contribute to greater public awareness of the importance of polar research to fundamental questions of biology, ecology and hydrology through direct linkages with International Antarctic Institute public outreach activities, including dissemination of web-based learning units on environmental science and microbiology, targeted as resources for secondary and post-secondary educators. Three graduate students, one postdoctoral scholar and multiple undergraduates will participate in the research activities.\n", "east": -162.32, "geometry": ["POINT(-162.81 -77.675)"], "keywords": "Antarctica; Critical Zone; Mps-1 Water Potential Sensor; Physical Properties; Soil Moisture; Soil Temperature", "locations": "Antarctica", "north": -77.62, "nsf_funding_programs": null, "persons": "Gooseff, Michael N.", "project_titles": "Collaborative Research: The Role of Snow Patches on the Spatial Distribution of Soil Microbial Communities and Biogeochemical Cycling in the Antarctic Dry Valleys", "projects": [{"proj_uid": "p0000489", "repository": "USAP-DC", "title": "Collaborative Research: The Role of Snow Patches on the Spatial Distribution of Soil Microbial Communities and Biogeochemical Cycling in the Antarctic Dry Valleys"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.73, "title": "The Role of Snow Patches on the Spatial Distribution of Soil Microbial Communities and Biogeochemical Cycling in the Antarctic Dry Valleys", "uid": "600100", "west": -163.3}, {"awards": "0122520 Gogineni, S. Prasad", "bounds_geometry": ["POLYGON((-110 -62,-105 -62,-100 -62,-95 -62,-90 -62,-85 -62,-80 -62,-75 -62,-70 -62,-65 -62,-60 -62,-60 -63.5,-60 -65,-60 -66.5,-60 -68,-60 -69.5,-60 -71,-60 -72.5,-60 -74,-60 -75.5,-60 -77,-65 -77,-70 -77,-75 -77,-80 -77,-85 -77,-90 -77,-95 -77,-100 -77,-105 -77,-110 -77,-110 -75.5,-110 -74,-110 -72.5,-110 -71,-110 -69.5,-110 -68,-110 -66.5,-110 -65,-110 -63.5,-110 -62))"], "date_created": "Wed, 01 Jul 2009 00:00:00 GMT", "description": "The Center for Remote Sensing of Ice Sheets (CReSIS) data from the 2002 and 2006 Flight missions.\n\nBasic Processing has been done to obtain the radar echograms and derived ice thickness data. Algorithms are being developed to reduce the multiples to obtain accurate measurement of ice sheet thickness over some areas. Data are available in Matlab (.mat) and Adobe .pdf formats.", "east": -60.0, "geometry": ["POINT(-85 -69.5)"], "keywords": "Airborne Radar; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Radar", "locations": "Antarctica", "north": -62.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Gogineni, Prasad", "project_titles": "ITR/SI+AP: A Mobile Sensor Web for Polar Ice Sheet Measurements", "projects": [{"proj_uid": "p0000583", "repository": "USAP-DC", "title": "ITR/SI+AP: A Mobile Sensor Web for Polar Ice Sheet Measurements"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.0, "title": "Antarctic Radar Echograms and Derived Ice Thickness Data from CReSIS", "uid": "609414", "west": -110.0}, {"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": "9526566 Bindschadler, Robert", "bounds_geometry": ["POINT(160.41 -74.21)", "POINT(-119.4 -80.01)", "POINT(-84 -75.9)", "POINT(-174.45 -82.52)"], "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(160.41 -74.21)", "POINT(-119.4 -80.01)", "POINT(-84 -75.9)", "POINT(-174.45 -82.52)"], "keywords": "Antarctica; Atmosphere; Automated Weather Station; Meteorology; Temperature; West Antarctica", "locations": "Antarctica; West 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}]

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