{"dp_type": "Dataset", "free_text": "Meltwater"}
[{"awards": "2136938 Tedesco, Marco", "bounds_geometry": ["POLYGON((-40 67.55,-39.611 67.55,-39.222 67.55,-38.833 67.55,-38.444 67.55,-38.055 67.55,-37.666 67.55,-37.277 67.55,-36.888 67.55,-36.499 67.55,-36.11 67.55,-36.11 67.28999999999999,-36.11 67.03,-36.11 66.77,-36.11 66.51,-36.11 66.25,-36.11 65.99,-36.11 65.73,-36.11 65.47,-36.11 65.21000000000001,-36.11 64.95,-36.499 64.95,-36.888 64.95,-37.277 64.95,-37.666 64.95,-38.055 64.95,-38.444 64.95,-38.833 64.95,-39.222 64.95,-39.611 64.95,-40 64.95,-40 65.21000000000001,-40 65.47,-40 65.73,-40 65.99,-40 66.25,-40 66.51,-40 66.77,-40 67.03,-40 67.28999999999999,-40 67.55))"], "date_created": "Mon, 07 Oct 2024 00:00:00 GMT", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003eThe data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Mod\u00e9le Atmosph\u00e9rique R\u00e8gional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. \r\n\u003cbr/\u003e\u003cbr/\u003eA similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. \r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003e", "east": -36.11, "geometry": ["POINT(-38.055 66.25)"], "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Greenland; Ice Sheet; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "locations": "Greenland; Antarctica; Greenland", "north": 67.55, "nsf_funding_programs": "Polar Cyberinfrastructure", "persons": "Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco", "project_titles": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "projects": [{"proj_uid": "p0010277", "repository": "USAP-DC", "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": 64.95, "title": "Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications", "uid": "601841", "west": -40.0}, {"awards": "2136938 Tedesco, Marco", "bounds_geometry": ["POLYGON((-68.5 -65.25,-67.35 -65.25,-66.2 -65.25,-65.05 -65.25,-63.9 -65.25,-62.75 -65.25,-61.6 -65.25,-60.45 -65.25,-59.3 -65.25,-58.15 -65.25,-57 -65.25,-57 -65.652,-57 -66.054,-57 -66.456,-57 -66.858,-57 -67.25999999999999,-57 -67.66199999999999,-57 -68.064,-57 -68.466,-57 -68.868,-57 -69.27,-58.15 -69.27,-59.3 -69.27,-60.45 -69.27,-61.6 -69.27,-62.75 -69.27,-63.9 -69.27,-65.05 -69.27,-66.2 -69.27,-67.35 -69.27,-68.5 -69.27,-68.5 -68.868,-68.5 -68.466,-68.5 -68.064,-68.5 -67.66199999999999,-68.5 -67.25999999999999,-68.5 -66.858,-68.5 -66.456,-68.5 -66.054,-68.5 -65.652,-68.5 -65.25))"], "date_created": "Mon, 07 Oct 2024 00:00:00 GMT", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Lambert azimuthal equal area projection; EPSG 9820) over Larsen C Ice Shelf and surrounding areas in Antarctica. The data is prepared to be used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n\u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003eThe data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Mod\u00e9le Atmosph\u00e9rique R\u00e8gional (MAR) regional climate model, a static digital elevation model (DEM), and an ice sheet mask. \r\n\u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003eA similar dataset has been produced for Helheim Glacier, Greenland and is also available through the US Antarctic Program Data Center.", "east": -57.0, "geometry": ["POINT(-62.75 -67.25999999999999)"], "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Larsen C Ice Shelf; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "locations": "Antarctica; Larsen C Ice Shelf", "north": -65.25, "nsf_funding_programs": "Polar Cyberinfrastructure", "persons": "Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco", "project_titles": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "projects": [{"proj_uid": "p0010277", "repository": "USAP-DC", "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.27, "title": "Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications", "uid": "601842", "west": -68.5}, {"awards": "1841467 MacAyeal, Douglas; 1841607 Banwell, Alison", "bounds_geometry": ["POLYGON((-68.28 -71.1,-68.202 -71.1,-68.124 -71.1,-68.046 -71.1,-67.968 -71.1,-67.89 -71.1,-67.812 -71.1,-67.734 -71.1,-67.656 -71.1,-67.578 -71.1,-67.5 -71.1,-67.5 -71.14999999999999,-67.5 -71.19999999999999,-67.5 -71.25,-67.5 -71.3,-67.5 -71.35,-67.5 -71.39999999999999,-67.5 -71.44999999999999,-67.5 -71.5,-67.5 -71.55,-67.5 -71.6,-67.578 -71.6,-67.656 -71.6,-67.734 -71.6,-67.812 -71.6,-67.89 -71.6,-67.968 -71.6,-68.046 -71.6,-68.124 -71.6,-68.202 -71.6,-68.28 -71.6,-68.28 -71.55,-68.28 -71.5,-68.28 -71.44999999999999,-68.28 -71.39999999999999,-68.28 -71.35,-68.28 -71.3,-68.28 -71.25,-68.28 -71.19999999999999,-68.28 -71.14999999999999,-68.28 -71.1))"], "date_created": "Wed, 20 Mar 2024 00:00:00 GMT", "description": "This dataset contains all of the field data (GNSS, weather station data, timelapse camera images) used in the publication \u0027Banwell et al., 2024\u0027, which documents observations of surface meltwater-induced flexure and fracture at a doline on north George VI Ice Shelf, Antarctic Peninsula. ", "east": -67.5, "geometry": ["POINT(-67.89 -71.35)"], "keywords": "Antarctica; Antarctic Peninsula; AWS; Cryosphere; GNSS; GPS Data; Ice-Shelf Flexure; Ice Shelf Fracture; Ice-Shelf Melt; Timelaps Images", "locations": "Antarctic Peninsula; Antarctica", "north": -71.1, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "persons": "Banwell, Alison; Willis, Ian; Stevens, Laura; Dell, Rebecca; MacAyeal, Douglas", "project_titles": "NSFGEO-NERC: Ice-shelf Instability Caused by Active Surface Meltwater Production, Movement, Ponding and Hydrofracture", "projects": [{"proj_uid": "p0010449", "repository": "USAP-DC", "title": "NSFGEO-NERC: Ice-shelf Instability Caused by Active Surface Meltwater Production, Movement, Ponding and Hydrofracture"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -71.6, "title": "Dataset for: Banwell et al. 2024, \u0027Observed meltwater-induced flexure and fracture at a doline on George VI Ice Shelf, Antarctica\u0027, Journal of Glaciology.", "uid": "601771", "west": -68.28}, {"awards": "2032473 Kurbatov, Andrei; 2032463 Talghader, Joseph", "bounds_geometry": null, "date_created": "Thu, 30 Nov 2023 00:00:00 GMT", "description": "This dataset includes visible-light and thermal imaging video of tap-water ice being cut with millisecond-range pulses of 1070 nm laser light, as well as stable isotope and chemical (commonly-used ion species) composition data of ice samples frozen from Fiji bottled water and South Pole 1980 meltwater. ", "east": null, "geometry": null, "keywords": "Antarctica; Sampling", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Instrumentation and Facilities; Antarctic Instrumentation and Facilities", "persons": "Mah, Merlin; Kurbatov, Andrei V.; Talghader, Joseph", "project_titles": "Collaborative Research: Laser Cutting Technology for Borehole Sampling", "projects": [{"proj_uid": "p0010218", "repository": "USAP-DC", "title": "Collaborative Research: Laser Cutting Technology for Borehole Sampling"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Visual, thermal, chemical, and stable isotope effects of near-infrared laser cutting on freezer ice", "uid": "601753", "west": null}, {"awards": "1643455 Enderlin, Ellyn; 1933764 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": "1744835 Wagner, Till", "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, 18 Jan 2022 00:00:00 GMT", "description": "Because of difficulties in adequately simulating their breakup, large Antarctic icebergs to date have either not been represented in models or represented but with no breakup scheme such that they consistently survive too long and travel too far compared with observations. Here, we introduce a representation of iceberg fracturing using a breakup scheme based on the \u201cfootloose mechanism.\u201d We optimize the parameters of this breakup scheme by forcing the iceberg model with an ocean state estimate and comparing the modeled iceberg trajectories and areas with the Antarctic Iceberg Tracking Database. We show that including large icebergs and a representation of their breakup substantially affects the iceberg meltwater distribution, with implications for the circulation and stratification of the Southern Ocean.\r\n\r\nThis data link includes the model developed for the study, including a link to the forcing fields needed to replicate the model results. ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Footloose Mechanism; Iceberg Breakup; Iceberg Decay; Model; Southern Ocean", "locations": "Antarctica; Southern Ocean", "north": -60.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences; Antarctic Ocean and Atmospheric Sciences", "persons": "Wagner, Till", "project_titles": "Modeling Giant Icebergs and Their Decay", "projects": [{"proj_uid": "p0010290", "repository": "USAP-DC", "title": "Modeling Giant Icebergs and Their Decay"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Model of iceberg drift and decay including breakup", "uid": "601510", "west": -180.0}, {"awards": "1745055 Stearns, Leigh; 1246353 Anderson, John; 1745043 Simkins, Lauren", "bounds_geometry": ["POLYGON((174 -75,174.4 -75,174.8 -75,175.2 -75,175.6 -75,176 -75,176.4 -75,176.8 -75,177.2 -75,177.6 -75,178 -75,178 -75.2,178 -75.4,178 -75.6,178 -75.8,178 -76,178 -76.2,178 -76.4,178 -76.6,178 -76.8,178 -77,177.6 -77,177.2 -77,176.8 -77,176.4 -77,176 -77,175.6 -77,175.2 -77,174.8 -77,174.4 -77,174 -77,174 -76.8,174 -76.6,174 -76.4,174 -76.2,174 -76,174 -75.8,174 -75.6,174 -75.4,174 -75.2,174 -75))"], "date_created": "Mon, 04 Oct 2021 00:00:00 GMT", "description": "Bathymetry from multibeam echo sounding data in Pennell Trough, Ross Sea, Antarctica was collected onboard the RVIB Nathaniel B. Palmer (NBP) 15-02 cruise using a Kongsberg EM122 operating in dual swath mode at 12 kHz frequency with a 1\u00b0\u00d71\u00b0 beam width, swath angular coverage set to 62\u00b0\u00d762\u00b0, and 30-60% overlap between survey lines. All raw, ping-edited geophysical data collected on NBP15-02 can be accessed using the Marine Geoscience Data System (Cruise DOI: 10.7284/901477). The bathymetry dataset here is gridded at 20-m resolution with a water depth-dependent vertical resolution on the order of decimeters. Two shapefiles are provided for ice-marginal landforms and meltwater landforms observable in the bathymetry data. The purpose of collecting the bathymetry data on cruise NBP15-02 was to better understand the glacial history of the Ross Sea, and the dataset, inclusive of bathymetry data and shapefiles of glacial landforms, from Pennell Trough are used to understand impacts on subglacial channel morphology and organization during the deglaciation of the region following the Last Glacial Maximum. The published dataset was used and analyzed in the article \"Topographic controls on channelized meltwater in the subglacial environment\" by Simkins, L.M., Greenwood, S.L., Munevar Garcia, S., Eareckson, E.A., Anderson, J.B., and Prothro, L.O, which was published in Geophysical Research Letters in 2021 (DOI: 10.1029/2021GL094678).", "east": 178.0, "geometry": ["POINT(176 -76)"], "keywords": "Antarctica; Bathymetry; Elevation; Geomorphology; Glacial History; Glaciers/ice Sheet; Glaciers/Ice Sheet; Marine Geoscience; NBP1502; Pennell Trough; Ross Sea; R/v Nathaniel B. Palmer", "locations": "Antarctica; Ross Sea; Pennell Trough", "north": -75.0, "nsf_funding_programs": "Antarctic Earth Sciences; Antarctic Earth Sciences", "persons": "Greenwood, Sarah; Munevar Garcia, Santiago; Eareckson, Elizabeth; Anderson, John; Prothro, Lindsay; Simkins, Lauren", "project_titles": "Collaborative Research: Topographic controls on Antarctic Ice Sheet grounding line retreat - integrating models and observations; Evidence for Paleo Ice Stream Collapse in the Western Ross Sea since the Last Glacial Maximum.", "projects": [{"proj_uid": "p0010269", "repository": "USAP-DC", "title": "Collaborative Research: Topographic controls on Antarctic Ice Sheet grounding line retreat - integrating models and observations"}, {"proj_uid": "p0000395", "repository": "USAP-DC", "title": "Evidence for Paleo Ice Stream Collapse in the Western Ross Sea since the Last Glacial Maximum."}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.0, "title": "Pennell Trough, Ross Sea bathymetry and glacial landforms", "uid": "601474", "west": 174.0}, {"awards": "1543432 Hock, Regine", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Tue, 22 Jun 2021 00:00:00 GMT", "description": "This dataset contains the total number of days per year with meltwater present at the surface across the Antarctic ice sheet and surrounding ice shelves derived from passive microwave satellite observations for each melt year from 1979/80 to 2019/20. This data comes from daily and near-daily SMMR, SSM/I, and SSMIS results at 25 km resolution at 19 GHz horizontal polarization. Each melt year starts on July 1 and ends June 30. The melt detection algorithm is described in Johnson and others (2020) and uses KMeans clustering analysis of the annual brightness temperature time series on each pixel to detect melt for that pixel and year. ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Melt Days; Passive Microwave; Snow/ice; Snow/Ice; Surface Melt", "locations": "Antarctica; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Johnson, Andrew; Hock, Regine; Fahnestock, Mark", "project_titles": "Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model", "projects": [{"proj_uid": "p0010408", "repository": "USAP-DC", "title": "Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Antarctic passive microwave Kmeans derived surface melt days, 1979-2020", "uid": "601457", "west": -180.0}, {"awards": "1443347 Condron, Alan", "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, 08 Jun 2021 00:00:00 GMT", "description": "Meltwater and ice discharge from a retreating Antarctic Ice Sheet could have important impacts on future global climate. This dataset contains the results from multi-century (present\u20132250) climate simulations performed using a coupled numerical model integrated under future greenhouse-gas emission scenarios IPCC RCP4.5 and RCP8.5, with meltwater and ice discharge provided by a dynamic-thermodynamic ice sheet model. These results were published in Sadai et al., Science Advances, 2020, Vol. 6, eaaz1169\r\n\r\nPlease note that ALL the raw model data generated for this project is archived at Woods Hole Oceanographic Institution and the University of Massachusetts Amherst and freely available on request. ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Meltwater", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Integrated System Science; Antarctic Ocean and Atmospheric Sciences", "persons": "Condron, Alan", "project_titles": "Collaborative Research: Assessing the Global Climate Response to Melting of the Antarctic Ice Sheet", "projects": [{"proj_uid": "p0010007", "repository": "USAP-DC", "title": "Collaborative Research: Assessing the Global Climate Response to Melting of the Antarctic Ice Sheet"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Future climate response to Antarctic Ice Sheet melt caused by anthropogenic warming", "uid": "601449", "west": -180.0}, {"awards": "1443347 Condron, Alan", "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, 04 May 2021 00:00:00 GMT", "description": "This dataset contains the MITgcm model output data presented in Ashley, K.E. et al., 2021. This dataset includes simulated spatial changes in sea surface salinity (SSS), time series data of salinity, and scatter plot data of SSS changes against meltwater discharge.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Computer Model; Freshwater; Glaciers/ice Sheet; Glaciers/Ice Sheet; Model Data; Ocean Model; Oceans; Salinity", "locations": "Antarctica; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Integrated System Science", "persons": "Condron, Alan", "project_titles": "Collaborative Research: Assessing the Global Climate Response to Melting of the Antarctic Ice Sheet", "projects": [{"proj_uid": "p0010007", "repository": "USAP-DC", "title": "Collaborative Research: Assessing the Global Climate Response to Melting of the Antarctic Ice Sheet"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Simulated changes in Southern Ocean salinity", "uid": "601442", "west": -180.0}, {"awards": "1743310 Kingslake, Jonathan", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Sat, 24 Oct 2020 00:00:00 GMT", "description": "This data set contains the results presented in Lai et al. (2020), including; the 125m-resolution fracture map, the spatial distribution of fracture depths and the required initial flaw size for hydrofracture, which is calculated using linear elastic fracture mechanics (LEFM) according to the ice-shelf stress fields and thickness. The dimensionless stress (Rxx_bar, defined in Lai et al. (2020)) governs how fractures behave. Using a dimensionless stress criteria we have determined which ice-shelf areas are vulnerable to hydrofracture if inundated with melt water (Rxx_bar \u003eRxx*_bar).", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Computer Model; Fractures; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Meltwater; Model Data", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Lai, Ching-Yao", "project_titles": "Satellite observations and modelling of surface meltwater flow and its impact on ice shelves", "projects": [{"proj_uid": "p0010184", "repository": "USAP-DC", "title": "Satellite observations and modelling of surface meltwater flow and its impact on ice shelves"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Vulnerability of Antarctica\u2019s ice shelves to meltwater-driven fracture", "uid": "601395", "west": -180.0}, {"awards": "1743326 Kingslake, Jonathan", "bounds_geometry": null, "date_created": "Fri, 22 Mar 2019 00:00:00 GMT", "description": "In February 2018, we hosted a workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability at Lamont-Doherty Earth Observatory, Palisades, New York. Funding for the workshop was provided by the\r\nU.S. National Science Foundation (NSF) Antarctic Glaciology Program (award number: 1743326). The\r\naims of the workshop were to: (1) establish the state-of-the-science of Antarctic surface hydrology; (2)\r\nidentify key science questions raised by observations and theoretical studies of Antarctic surface\r\nhydrology, and (3) move the community toward answering these questions by bringing together scientists\r\nwith diverse expertise. The workshop was motivated by the premise that significant gains in our\r\nunderstanding can be made if researchers with interests in this field are provided with an opportunity to\r\ncommunicate and develop collaborations across disciplines.\r\n\r\nHere we report on the organisation, attendance, and structure of the workshop, before summarizing key\r\nscience outcomes, research questions, and future priorities that emerged during the workshop within the\r\nfollowing four themes:\r\n1. Surface melting: controls and observations\r\n2. Water ponding and flow\r\n3. Impact of meltwater on ice-shelf stability\r\n4. Ice-sheet/climate modeling\r\n\r\nFinally, building on the emergent science questions, we propose a framework for prioritizing future work,\r\naimed at understanding and predicting the impact that surface meltwater will have on future Antarctic Ice\r\nSheet mass balance.", "east": null, "geometry": null, "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Hydrology; Ice Sheet Stability; Ice Shelf; Report; Workshop", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Kingslake, Jonathan; Trusel, Luke; Banwell, Alison; Bell, Robin; Das, Indrani; DeConto, Robert; Tedesco, Marco; Lenaerts, Jan; Schoof, Christian", "project_titles": "Workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability", "projects": [{"proj_uid": "p0010021", "repository": "USAP-DC", "title": "Workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Report on Antarctic surface hydrology workshop, LDEO, 2018", "uid": "601170", "west": null}, {"awards": "1443394 Pollard, David", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Mon, 04 Feb 2019 00:00:00 GMT", "description": "The dataset consists of two tar files for two distinct sets of simulations. Each tar file contains a number of Netcdf files with model output for one simulation each, and also contains a DIF file (Directory Interchange Format, in xml form) with information on that part of the dataset.\r\n\r\nSet 1:\r\n\r\nThere are 4 Netcdf files with output from the PSU 3D Antarctic ice sheet model including \r\n ice melange, showing role of melange in potentially providing buttressing and \r\n possibly slowing down ice retreat in strong climate warming scenarios.\r\n \r\nSet two:\r\n\r\nThere are 2 Netcdf files with output from the PSU 3D Antarctic ice sheet model, for two future warming scenarios RCP4.5 and RCP8.5, contributing to oceanic meltwater discharge fields for future climate and ocean model simulations performed at Univ. Massachusetts by other PIs on the NSF project.\r\n \r\nMore details on file names and model fields is provided in \"Data Section\" of the Readme file.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctic; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Sheet; Ice Sheet Model; Meltwater; Model Data; Modeling; Model Output", "locations": "Antarctic; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Integrated System Science", "persons": "Pollard, David", "project_titles": "Collaborative Research: Assessing the Global Climate Response to Melting of the Antarctic Ice Sheet", "projects": [{"proj_uid": "p0010007", "repository": "USAP-DC", "title": "Collaborative Research: Assessing the Global Climate Response to Melting of the Antarctic Ice Sheet"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Antarctic Ice Sheet simulations for role of freshwater in future warming scenarios", "uid": "601154", "west": -180.0}, {"awards": "1443306 Mayewski, Paul; 1443263 Higgins, John", "bounds_geometry": ["POLYGON((159.35343 -76.73165,159.360199 -76.73165,159.366968 -76.73165,159.373737 -76.73165,159.380506 -76.73165,159.387275 -76.73165,159.394044 -76.73165,159.400813 -76.73165,159.407582 -76.73165,159.414351 -76.73165,159.42112 -76.73165,159.42112 -76.731833,159.42112 -76.732016,159.42112 -76.732199,159.42112 -76.732382,159.42112 -76.732565,159.42112 -76.732748,159.42112 -76.732931,159.42112 -76.733114,159.42112 -76.733297,159.42112 -76.73348,159.414351 -76.73348,159.407582 -76.73348,159.400813 -76.73348,159.394044 -76.73348,159.387275 -76.73348,159.380506 -76.73348,159.373737 -76.73348,159.366968 -76.73348,159.360199 -76.73348,159.35343 -76.73348,159.35343 -76.733297,159.35343 -76.733114,159.35343 -76.732931,159.35343 -76.732748,159.35343 -76.732565,159.35343 -76.732382,159.35343 -76.732199,159.35343 -76.732016,159.35343 -76.731833,159.35343 -76.73165))"], "date_created": "Wed, 17 Oct 2018 00:00:00 GMT", "description": "Stable water isotope data for the surface ice samples (listed as point numbers \u00ad coordinates provided) collected at the Allan Hills Blue ice area have been generated under a collaborative effort by the University of Maine Climate Change Institute (NSF Award#1443306) and Princeton University (NSF Award# 1443263). This data set contains stable isotope data (dD, d18O) of meltwater samples collected from the\r\narea(76.73165 to 76.73348 S,\u00a0159.35343 to 159.42112 E).", "east": 159.42112, "geometry": ["POINT(159.387275 -76.732565)"], "keywords": "Allan Hills; Allan Hills Project; Antarctica; Blue Ice; Chemistry:ice; Chemistry:Ice; Delta 18O; Delta Deuterium; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Core Gas Records; Ice Core Records; Oxygen; Snow/ice; Snow/Ice; Stable Water Isotopes; Transantarctic Mountains", "locations": "Antarctica; Allan Hills; Transantarctic Mountains", "north": -76.73165, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "persons": "Kurbatov, Andrei V.; Mayewski, Paul A.; Introne, Douglas; Yan, Yuzhen", "project_titles": "Collaborative Research: Window into the World with 40,000-year Glacial Cycles from Climate Records in Million Year-old Ice from the Allan Hills Blue Ice Area", "projects": [{"proj_uid": "p0000760", "repository": "USAP-DC", "title": "Collaborative Research: Window into the World with 40,000-year Glacial Cycles from Climate Records in Million Year-old Ice from the Allan Hills Blue Ice Area"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "Allan Hills", "south": -76.73348, "title": "Stable water isotope data for the surface samples collected at the Allan Hills Blue ice area", "uid": "601130", "west": 159.35343}, {"awards": "1443306 Mayewski, Paul; 1443263 Higgins, John", "bounds_geometry": ["POINT(159.35507 -76.73286)"], "date_created": "Wed, 17 Oct 2018 00:00:00 GMT", "description": "Stable water isotope data for the ice core drilled at the Allan Hills Blue ice area have been generated under a collaborative effort by the University of Maine Climate Change Institute (NSF Award#1443306) and Princeton University (NSF Award# 1443263). This data set contains \r\nstable isotope data (dD, d18O) of meltwater samples collected from the ice core AH-1502 (76.73286 S, 159.35507 E) was drilled in 2015-16 field season to 197 meters below the surface.", "east": 159.35507, "geometry": ["POINT(159.35507 -76.73286)"], "keywords": "Allan Hills; Allan Hills Project; Antarctica; Blue Ice; Delta 18O; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Core; Ice Core Chemistry; Ice Core Records; Isotope Data; Oxygen; Snow/ice; Snow/Ice; Stable Water Isotopes; Transantarctic Mountains", "locations": "Antarctica; Transantarctic Mountains; Allan Hills", "north": -76.73286, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "persons": "Kurbatov, Andrei V.; Mayewski, Paul A.; Introne, Douglas; Yan, Yuzhen", "project_titles": "Collaborative Research: Window into the World with 40,000-year Glacial Cycles from Climate Records in Million Year-old Ice from the Allan Hills Blue Ice Area", "projects": [{"proj_uid": "p0000760", "repository": "USAP-DC", "title": "Collaborative Research: Window into the World with 40,000-year Glacial Cycles from Climate Records in Million Year-old Ice from the Allan Hills Blue Ice Area"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "Allan Hills", "south": -76.73286, "title": "Stable water isotope data for the AH-1502 ice core drilled at the Allan Hills Blue ice area", "uid": "601129", "west": 159.35507}, {"awards": "1443306 Mayewski, Paul; 1443263 Higgins, John", "bounds_geometry": ["POINT(159.3562 -76.73243)"], "date_created": "Tue, 16 Oct 2018 00:00:00 GMT", "description": "Stable water isotope data for the AH-1503 ice core drilled at the Allan Hills\r Blue ice area have been generated under a collaborative effort by the\r University of Maine Climate Change Institute (NSF Award#1443263) and\r Princeton University (NSF Award# 1443263). This data set contains stable isotope data (dD, d18O) of meltwater samples collected from the\r ice core AH-1503 (76.73243 S,\u00a0159.3562 E). Ice core site AH-1503 used the same borehole as AH- BIT58 drilled down to 124 m during the 2011-12 field season. All drilling was conducted with a 3\" Eclipse drill (Ice Drilling Design and Operations (IDDO)).\r\n", "east": 159.3562, "geometry": ["POINT(159.3562 -76.73243)"], "keywords": "Allan Hills; Antarctica; Blue Ice; Chemistry:ice; Chemistry:Ice; Delta 18O; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Core Records; Isotope Record; Mass Spectrometry; Stable Water Isotopes", "locations": "Allan Hills; Antarctica", "north": -76.73243, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "persons": "Kurbatov, Andrei V.; Mayewski, Paul A.; Introne, Douglas; Yan, Yuzhen", "project_titles": "Collaborative Research: Window into the World with 40,000-year Glacial Cycles from Climate Records in Million Year-old Ice from the Allan Hills Blue Ice Area", "projects": [{"proj_uid": "p0000760", "repository": "USAP-DC", "title": "Collaborative Research: Window into the World with 40,000-year Glacial Cycles from Climate Records in Million Year-old Ice from the Allan Hills Blue Ice Area"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "Allan Hills", "south": -76.73243, "title": "Stable water isotope data for the AH-1503 ice core drilled at the Allan Hills Blue ice area", "uid": "601128", "west": 159.3562}, {"awards": "1443126 MacAyeal, Douglas", "bounds_geometry": ["POLYGON((165.911079 -77.872851,165.941267 -77.872851,165.971455 -77.872851,166.001643 -77.872851,166.031831 -77.872851,166.062019 -77.872851,166.092207 -77.872851,166.122395 -77.872851,166.152583 -77.872851,166.182771 -77.872851,166.212959 -77.872851,166.212959 -77.8781411,166.212959 -77.8834312,166.212959 -77.8887213,166.212959 -77.8940114,166.212959 -77.8993015,166.212959 -77.9045916,166.212959 -77.9098817,166.212959 -77.9151718,166.212959 -77.9204619,166.212959 -77.925752,166.182771 -77.925752,166.152583 -77.925752,166.122395 -77.925752,166.092207 -77.925752,166.062019 -77.925752,166.031831 -77.925752,166.001643 -77.925752,165.971455 -77.925752,165.941267 -77.925752,165.911079 -77.925752,165.911079 -77.9204619,165.911079 -77.9151718,165.911079 -77.9098817,165.911079 -77.9045916,165.911079 -77.8993015,165.911079 -77.8940114,165.911079 -77.8887213,165.911079 -77.8834312,165.911079 -77.8781411,165.911079 -77.872851))"], "date_created": "Tue, 04 Sep 2018 00:00:00 GMT", "description": "During the melt seasons of 2015/6 and 2016/7, water pressure gages were deployed on the McMurdo Ice Shelf to observe water depth in supraglacial lakes and streams. This was done in support of research directed toward understanding how filling and draining supraglacial lakes would induce ice-shelf flexure and fracture.", "east": 166.212959, "geometry": ["POINT(166.062019 -77.8993015)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Snow/ice; Snow/Ice; Subglacial And Supraglacial Water Depth; Supraglacial Lake; Supraglacial Meltwater; Water Depth", "locations": "Antarctica", "north": -77.872851, "nsf_funding_programs": "Antarctic Glaciology", "persons": "MacAyeal, Douglas; Banwell, Alison", "project_titles": "Impact of Supraglacial Lakes on Ice-Shelf Stability", "projects": [{"proj_uid": "p0000138", "repository": "USAP-DC", "title": "Impact of Supraglacial Lakes on Ice-Shelf Stability"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.925752, "title": "Supraglacial Lake Depths on McMurdo Ice Shelf, Antarctica", "uid": "601116", "west": 165.911079}, {"awards": "1443126 MacAyeal, Douglas", "bounds_geometry": ["POLYGON((166.152184 -77.902339,166.1559273 -77.902339,166.1596706 -77.902339,166.1634139 -77.902339,166.1671572 -77.902339,166.1709005 -77.902339,166.1746438 -77.902339,166.1783871 -77.902339,166.1821304 -77.902339,166.1858737 -77.902339,166.189617 -77.902339,166.189617 -77.9026372,166.189617 -77.9029354,166.189617 -77.9032336,166.189617 -77.9035318,166.189617 -77.90383,166.189617 -77.9041282,166.189617 -77.9044264,166.189617 -77.9047246,166.189617 -77.9050228,166.189617 -77.905321,166.1858737 -77.905321,166.1821304 -77.905321,166.1783871 -77.905321,166.1746438 -77.905321,166.1709005 -77.905321,166.1671572 -77.905321,166.1634139 -77.905321,166.1596706 -77.905321,166.1559273 -77.905321,166.152184 -77.905321,166.152184 -77.9050228,166.152184 -77.9047246,166.152184 -77.9044264,166.152184 -77.9041282,166.152184 -77.90383,166.152184 -77.9035318,166.152184 -77.9032336,166.152184 -77.9029354,166.152184 -77.9026372,166.152184 -77.902339))"], "date_created": "Fri, 31 Aug 2018 00:00:00 GMT", "description": "During the Austral summer melt season of 2016-2017, an automatic camera was placed overlooking a surface lake feature on the McMurdo Ice Shelf. This camera created a time-lapse video (30 minute photograph time intervals) used to observe the filling and draining of the lake called Rift-Tip Lake located approximately 2 km from the McMurdo Ice Shelf ice front. The data was used in support of a field project to measure the flexural response of the McMurdo Ice Shelf (and ice shelves in general) to the filling and draining of supraglacial lakes. The time-lapse video begins 16 November 2016 and ends 27 January 2017.", "east": 166.189617, "geometry": ["POINT(166.1709005 -77.90383)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Photo/video; Photo/Video; Supraglacial Meltwater", "locations": "Antarctica", "north": -77.902339, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "persons": "MacAyeal, Douglas; Banwell, Alison", "project_titles": "Impact of Supraglacial Lakes on Ice-Shelf Stability", "projects": [{"proj_uid": "p0000138", "repository": "USAP-DC", "title": "Impact of Supraglacial Lakes on Ice-Shelf Stability"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.905321, "title": "Time-lapse video of McMurdo Ice Shelf surface melting and hydrology", "uid": "601113", "west": 166.152184}, {"awards": "1443126 MacAyeal, Douglas", "bounds_geometry": ["POLYGON((166.02819 -77.887495,166.053634 -77.887495,166.079078 -77.887495,166.104522 -77.887495,166.129966 -77.887495,166.15541 -77.887495,166.180854 -77.887495,166.206298 -77.887495,166.231742 -77.887495,166.257186 -77.887495,166.28263 -77.887495,166.28263 -77.8926145,166.28263 -77.897734,166.28263 -77.9028535,166.28263 -77.907973,166.28263 -77.9130925,166.28263 -77.918212,166.28263 -77.9233315,166.28263 -77.928451,166.28263 -77.9335705,166.28263 -77.93869,166.257186 -77.93869,166.231742 -77.93869,166.206298 -77.93869,166.180854 -77.93869,166.15541 -77.93869,166.129966 -77.93869,166.104522 -77.93869,166.079078 -77.93869,166.053634 -77.93869,166.02819 -77.93869,166.02819 -77.9335705,166.02819 -77.928451,166.02819 -77.9233315,166.02819 -77.918212,166.02819 -77.9130925,166.02819 -77.907973,166.02819 -77.9028535,166.02819 -77.897734,166.02819 -77.8926145,166.02819 -77.887495))"], "date_created": "Tue, 24 Jul 2018 00:00:00 GMT", "description": "Over 2 Austral summer periods in 2015/6 and 2016/17, up to 12 geodetic GPS receivers were deployed on the McMurdo Ice Shelf to study its vertical deflection in response to moving meltwater loads. (5 GPS were deployed in 2015/16, 12 in 2016/17.) The GPS receivers and antennas were supplied by UNAVCO and were Trimble NetR9\u2019s and Zephyr Geodetic, respectively. The GPS receivers were stationary for the entire field seasons (were never moved). Following each field season, the GPS data were processed using MIT software called TRACK, which is part of the GAMIT package. The UNAVCO-run base station at McMurdo Station, approximately 16 km away from the field area, was used as part of the processing.", "east": 166.28263, "geometry": ["POINT(166.15541 -77.9130925)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; GPS; Ice Flow Velocity; Ice Shelf; Ice-Shelf Flexure; Snow/ice; Snow/Ice; Surface Melt", "locations": "Antarctica", "north": -77.887495, "nsf_funding_programs": "Antarctic Glaciology", "persons": "MacAyeal, Douglas; Banwell, Alison", "project_titles": "Impact of Supraglacial Lakes on Ice-Shelf Stability", "projects": [{"proj_uid": "p0000138", "repository": "USAP-DC", "title": "Impact of Supraglacial Lakes on Ice-Shelf Stability"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.93869, "title": "McMurdo Ice Shelf GPS survey of vertical motion", "uid": "601107", "west": 166.02819}, {"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": "1043485 Curtice, Josh", "bounds_geometry": ["POLYGON((163.4 -77.47989,163.9848 -77.47989,164.5696 -77.47989,165.1544 -77.47989,165.7392 -77.47989,166.324 -77.47989,166.9088 -77.47989,167.4936 -77.47989,168.0784 -77.47989,168.6632 -77.47989,169.248 -77.47989,169.248 -77.565701,169.248 -77.651512,169.248 -77.737323,169.248 -77.823134,169.248 -77.908945,169.248 -77.994756,169.248 -78.080567,169.248 -78.166378,169.248 -78.252189,169.248 -78.338,168.6632 -78.338,168.0784 -78.338,167.4936 -78.338,166.9088 -78.338,166.324 -78.338,165.7392 -78.338,165.1544 -78.338,164.5696 -78.338,163.9848 -78.338,163.4 -78.338,163.4 -78.252189,163.4 -78.166378,163.4 -78.080567,163.4 -77.994756,163.4 -77.908945,163.4 -77.823134,163.4 -77.737323,163.4 -77.651512,163.4 -77.565701,163.4 -77.47989))"], "date_created": "Thu, 01 Jan 2015 00:00:00 GMT", "description": "This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation.\n", "east": 169.248, "geometry": ["POINT(166.324 -77.908945)"], "keywords": "Antarctica; Cosmogenic Dating; Ross Sea; Sample/collection Description; Sample/Collection Description; Southern Ocean; WAIS", "locations": "WAIS; Antarctica; Southern Ocean; Ross Sea", "north": -77.47989, "nsf_funding_programs": null, "persons": "Kurz, Mark D.; Curtice, Josh", "project_titles": "Collaborative Research: A New Reconstruction of the Last West Antarctic Ice Sheet Deglaciation in the Ross Sea", "projects": [{"proj_uid": "p0000194", "repository": "USAP-DC", "title": "Collaborative Research: A New Reconstruction of the Last West Antarctic Ice Sheet Deglaciation in the Ross Sea"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.338, "title": "A New Reconstruction of the Last West Antarctic Ice Sheet Deglaciation in the Ross Sea", "uid": "600123", "west": 163.4}, {"awards": "0944248 MacAyeal, Douglas", "bounds_geometry": ["POLYGON((-63 -63,-62.2 -63,-61.4 -63,-60.6 -63,-59.8 -63,-59 -63,-58.2 -63,-57.4 -63,-56.6 -63,-55.8 -63,-55 -63,-55 -63.4,-55 -63.8,-55 -64.2,-55 -64.6,-55 -65,-55 -65.4,-55 -65.8,-55 -66.2,-55 -66.6,-55 -67,-55.8 -67,-56.6 -67,-57.4 -67,-58.2 -67,-59 -67,-59.8 -67,-60.6 -67,-61.4 -67,-62.2 -67,-63 -67,-63 -66.6,-63 -66.2,-63 -65.8,-63 -65.4,-63 -65,-63 -64.6,-63 -64.2,-63 -63.8,-63 -63.4,-63 -63))"], "date_created": "Tue, 29 Apr 2014 00:00:00 GMT", "description": "This data set addresses why surface melt water lakes on ice shelves and ice sheets are notably influential in triggering ice-shelf break-up and modulating seasonal ice flow, and are thus principle avenues by which environmental change can be transmitted to the ice sheets of Antarctica and Greenland. A comparative analysis is performed of lake geometry and derived depth (using Landsat image reflectance) in two distinct regions, one a collapsing ice shelf and the other an ablation zone of a land terminating ice sheet, to better characterize the range of surface lake variability.", "east": -55.0, "geometry": ["POINT(-59 -65)"], "keywords": "Antarctica; Antarctic Peninsula; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Larsen B Ice Shelf; Sample/collection Description; Sample/Collection Description; Supraglacial Meltwater", "locations": "Antarctica; Larsen B Ice Shelf; Antarctic Peninsula", "north": -63.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "MacAyeal, Douglas", "project_titles": "Model Studies of Surface Water Behavior on Ice Shelves", "projects": [{"proj_uid": "p0000052", "repository": "USAP-DC", "title": "Model Studies of Surface Water Behavior on Ice Shelves"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -67.0, "title": "Standing Water Depth on Larsen B Ice Shelf", "uid": "609584", "west": -63.0}, {"awards": "0739648 Cary, Stephen", "bounds_geometry": ["POINT(163 -77.5)"], "date_created": "Tue, 01 Jan 2013 00:00:00 GMT", "description": "The glacial streams of the McMurdo Dry Valleys have extensive cyanobacterial mats that are a probable source of fixed C and N to the Valleys. The research will examine the interplay between the microbial mats in the ephemeral glacial streams and the microbiota of the hyporheic soils (wetted soil zone) underlying and adjacent to those mats. It is hypothesized that the mats are important sources of organic carbon and fixed nitrogen for the soil communities of the hyporheic zone, and release dissolved organic carbon (DOC) and nitrogen (DON) that serves the entire Dry Valley ecosystem. Field efforts will entail both observational and experimental components. Direct comparisons will be made between the mats and microbial populations underlying naturally rehydrated and desiccated mat areas, and between mat areas in the melt streams of the Adams and Miers Glaciers in Miers Valley. Both physiological and phylogenetic indices of the soil microbiota will be examined. Observations will include estimates of rates of mat carbon and nitrogen fixation, soil respiration and leucine and thymidine uptake (as measures of protein \u0026 DNA synthesis, respectively) by soil bacteria, bacterial densities and their molecular ecology. Experimental manipulations will include experimental re-wetting of soils and observations of the time course of response of the microbial community. The research will integrate modern molecular genetic approaches (ARISA-DNA fingerprinting and ultra deep 16S rDNA microbial phylogenetic analysis) with geochemistry to study the diversity, ecology, and function of microbial communities that thrive in these extreme environments. The broader impacts of the project include research and educational opportunities for graduate students and a postdoctoral associate. The P.I.s will involve undergraduates as work-study students and in REU programs, and will participate in educational and outreach programs.", "east": 163.0, "geometry": ["POINT(163 -77.5)"], "keywords": "Antarctica; Biota; Cell Counts; Dry Valleys; Microbiology", "locations": "Antarctica; Dry Valleys", "north": -77.5, "nsf_funding_programs": null, "persons": "Cary, S. Craig", "project_titles": "Collaborative Research: Biogeochemistry of Cyanobactrial Mats and Hyporheic Zone Microbes in McMurdo Dry Valley Glacial Meltwater Streams", "projects": [{"proj_uid": "p0000476", "repository": "USAP-DC", "title": "Collaborative Research: Biogeochemistry of Cyanobactrial Mats and Hyporheic Zone Microbes in McMurdo Dry Valley Glacial Meltwater Streams"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.5, "title": "Biogeochemistry of Cyanobactrial Mats and Hyporheic Zone Microbes in McMurdo Dry Valley Glacial Meltwater Streams", "uid": "600079", "west": 163.0}, {"awards": "0636740 Kreutz, Karl", "bounds_geometry": ["POINT(112.088333 -79.482778)", "POINT(-112.088333 -79.482778)"], "date_created": "Sat, 01 Oct 2011 00:00:00 GMT", "description": "This data set includes microparticle concentration, electrical conductivity, and density measurements from the West Antarctic Ice Sheet (WAIS) Divide deep ice core, WDC06A. Microparticle concentration data are reported as total particles per ml of meltwater. Concentration was measured using a laser detector and the University of Maine WAIS Melt Monitor system. Conductivity is measured in micro-Siemens per cm (uS/cm). Density data were collected on 3 by 3 by 100 cm sticks from the WDC06A core, using the Maine Automated Density Gauge Experiment (MADGE). Density data span 0 to 160 m in depth, while the particle and conductivity measurements span the upper 577 m of the core. \n\nData are available via FTP in ASCII text format (.txt).", "east": 112.088333, "geometry": ["POINT(112.088333 -79.482778)", "POINT(-112.088333 -79.482778)"], "keywords": "Antarctica; Density; Electrical Conductivity; Glaciers/ice Sheet; Glaciers/Ice Sheet; Ice Core Records; Microparticle Concentration; Physical Properties; WAIS Divide; WAIS Divide Ice Core", "locations": "Antarctica; WAIS Divide", "north": -79.482778, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Kreutz, Karl; Hamilton, Gordon S.; Breton, Daniel; Koffman, Bess", "project_titles": "Collaborative Research: Microparticle/tephra analysis of the WAIS Divide ice core", "projects": [{"proj_uid": "p0000040", "repository": "USAP-DC", "title": "Collaborative Research: Microparticle/tephra analysis of the WAIS Divide ice core"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "WAIS Divide Ice Core", "south": -79.482778, "title": "Microparticle, Conductivity, and Density Measurements from the WAIS Divide Deep Ice Core, Antarctica", "uid": "609499", "west": -112.088333}]
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Dataset Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Project Links | Abstract | Bounds Geometry | Geometry | Selected | Visible |
---|---|---|---|---|---|---|---|---|---|
Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications
|
2136938 |
2024-10-07 | Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; Lütjens, Björn; Tedesco, Marco |
Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning |
This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately. <br/><br/> <br/><br/>The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Modéle Atmosphérique Règional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. <br/><br/>A similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. <br/><br/> <br/><br/> <br/><br/> | ["POLYGON((-40 67.55,-39.611 67.55,-39.222 67.55,-38.833 67.55,-38.444 67.55,-38.055 67.55,-37.666 67.55,-37.277 67.55,-36.888 67.55,-36.499 67.55,-36.11 67.55,-36.11 67.28999999999999,-36.11 67.03,-36.11 66.77,-36.11 66.51,-36.11 66.25,-36.11 65.99,-36.11 65.73,-36.11 65.47,-36.11 65.21000000000001,-36.11 64.95,-36.499 64.95,-36.888 64.95,-37.277 64.95,-37.666 64.95,-38.055 64.95,-38.444 64.95,-38.833 64.95,-39.222 64.95,-39.611 64.95,-40 64.95,-40 65.21000000000001,-40 65.47,-40 65.73,-40 65.99,-40 66.25,-40 66.51,-40 66.77,-40 67.03,-40 67.28999999999999,-40 67.55))"] | ["POINT(-38.055 66.25)"] | false | false |
Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications
|
2136938 |
2024-10-07 | Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; Lütjens, Björn; Tedesco, Marco |
Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning |
This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Lambert azimuthal equal area projection; EPSG 9820) over Larsen C Ice Shelf and surrounding areas in Antarctica. The data is prepared to be used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately. <br/><br/><br/>The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Modéle Atmosphérique Règional (MAR) regional climate model, a static digital elevation model (DEM), and an ice sheet mask. <br/><br/><br/>A similar dataset has been produced for Helheim Glacier, Greenland and is also available through the US Antarctic Program Data Center. | ["POLYGON((-68.5 -65.25,-67.35 -65.25,-66.2 -65.25,-65.05 -65.25,-63.9 -65.25,-62.75 -65.25,-61.6 -65.25,-60.45 -65.25,-59.3 -65.25,-58.15 -65.25,-57 -65.25,-57 -65.652,-57 -66.054,-57 -66.456,-57 -66.858,-57 -67.25999999999999,-57 -67.66199999999999,-57 -68.064,-57 -68.466,-57 -68.868,-57 -69.27,-58.15 -69.27,-59.3 -69.27,-60.45 -69.27,-61.6 -69.27,-62.75 -69.27,-63.9 -69.27,-65.05 -69.27,-66.2 -69.27,-67.35 -69.27,-68.5 -69.27,-68.5 -68.868,-68.5 -68.466,-68.5 -68.064,-68.5 -67.66199999999999,-68.5 -67.25999999999999,-68.5 -66.858,-68.5 -66.456,-68.5 -66.054,-68.5 -65.652,-68.5 -65.25))"] | ["POINT(-62.75 -67.25999999999999)"] | false | false |
Dataset for: Banwell et al. 2024, 'Observed meltwater-induced flexure and fracture at a doline on George VI Ice Shelf, Antarctica', Journal of Glaciology.
|
1841467 1841607 |
2024-03-20 | Banwell, Alison; Willis, Ian; Stevens, Laura; Dell, Rebecca; MacAyeal, Douglas |
NSFGEO-NERC: Ice-shelf Instability Caused by Active Surface Meltwater Production, Movement, Ponding and Hydrofracture |
This dataset contains all of the field data (GNSS, weather station data, timelapse camera images) used in the publication 'Banwell et al., 2024', which documents observations of surface meltwater-induced flexure and fracture at a doline on north George VI Ice Shelf, Antarctic Peninsula. | ["POLYGON((-68.28 -71.1,-68.202 -71.1,-68.124 -71.1,-68.046 -71.1,-67.968 -71.1,-67.89 -71.1,-67.812 -71.1,-67.734 -71.1,-67.656 -71.1,-67.578 -71.1,-67.5 -71.1,-67.5 -71.14999999999999,-67.5 -71.19999999999999,-67.5 -71.25,-67.5 -71.3,-67.5 -71.35,-67.5 -71.39999999999999,-67.5 -71.44999999999999,-67.5 -71.5,-67.5 -71.55,-67.5 -71.6,-67.578 -71.6,-67.656 -71.6,-67.734 -71.6,-67.812 -71.6,-67.89 -71.6,-67.968 -71.6,-68.046 -71.6,-68.124 -71.6,-68.202 -71.6,-68.28 -71.6,-68.28 -71.55,-68.28 -71.5,-68.28 -71.44999999999999,-68.28 -71.39999999999999,-68.28 -71.35,-68.28 -71.3,-68.28 -71.25,-68.28 -71.19999999999999,-68.28 -71.14999999999999,-68.28 -71.1))"] | ["POINT(-67.89 -71.35)"] | false | false |
Visual, thermal, chemical, and stable isotope effects of near-infrared laser cutting on freezer ice
|
2032473 2032463 |
2023-11-30 | Mah, Merlin; Kurbatov, Andrei V.; Talghader, Joseph |
Collaborative Research: Laser Cutting Technology for Borehole Sampling |
This dataset includes visible-light and thermal imaging video of tap-water ice being cut with millisecond-range pulses of 1070 nm laser light, as well as stable isotope and chemical (commonly-used ion species) composition data of ice samples frozen from Fiji bottled water and South Pole 1980 meltwater. | [] | [] | false | false |
Remotely-sensed iceberg geometries and meltwater fluxes
|
1643455 1933764 |
2023-04-06 | Enderlin, Ellyn; Dickson, Adam; Miller, Emily; Dryak, Mariama; Oliver, Caitlin; Aberle, Rainey |
Antarctic Submarine Melt Variability from Remote Sensing of Icebergs |
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. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Model of iceberg drift and decay including breakup
|
1744835 |
2022-01-18 | Wagner, Till |
Modeling Giant Icebergs and Their Decay |
Because of difficulties in adequately simulating their breakup, large Antarctic icebergs to date have either not been represented in models or represented but with no breakup scheme such that they consistently survive too long and travel too far compared with observations. Here, we introduce a representation of iceberg fracturing using a breakup scheme based on the “footloose mechanism.” We optimize the parameters of this breakup scheme by forcing the iceberg model with an ocean state estimate and comparing the modeled iceberg trajectories and areas with the Antarctic Iceberg Tracking Database. We show that including large icebergs and a representation of their breakup substantially affects the iceberg meltwater distribution, with implications for the circulation and stratification of the Southern Ocean. This data link includes the model developed for the study, including a link to the forcing fields needed to replicate the model results. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Pennell Trough, Ross Sea bathymetry and glacial landforms
|
1745055 1246353 1745043 |
2021-10-04 | Greenwood, Sarah; Munevar Garcia, Santiago; Eareckson, Elizabeth; Anderson, John; Prothro, Lindsay; Simkins, Lauren |
Collaborative Research: Topographic controls on Antarctic Ice Sheet grounding line retreat - integrating models and observations Evidence for Paleo Ice Stream Collapse in the Western Ross Sea since the Last Glacial Maximum. |
Bathymetry from multibeam echo sounding data in Pennell Trough, Ross Sea, Antarctica was collected onboard the RVIB Nathaniel B. Palmer (NBP) 15-02 cruise using a Kongsberg EM122 operating in dual swath mode at 12 kHz frequency with a 1°×1° beam width, swath angular coverage set to 62°×62°, and 30-60% overlap between survey lines. All raw, ping-edited geophysical data collected on NBP15-02 can be accessed using the Marine Geoscience Data System (Cruise DOI: 10.7284/901477). The bathymetry dataset here is gridded at 20-m resolution with a water depth-dependent vertical resolution on the order of decimeters. Two shapefiles are provided for ice-marginal landforms and meltwater landforms observable in the bathymetry data. The purpose of collecting the bathymetry data on cruise NBP15-02 was to better understand the glacial history of the Ross Sea, and the dataset, inclusive of bathymetry data and shapefiles of glacial landforms, from Pennell Trough are used to understand impacts on subglacial channel morphology and organization during the deglaciation of the region following the Last Glacial Maximum. The published dataset was used and analyzed in the article "Topographic controls on channelized meltwater in the subglacial environment" by Simkins, L.M., Greenwood, S.L., Munevar Garcia, S., Eareckson, E.A., Anderson, J.B., and Prothro, L.O, which was published in Geophysical Research Letters in 2021 (DOI: 10.1029/2021GL094678). | ["POLYGON((174 -75,174.4 -75,174.8 -75,175.2 -75,175.6 -75,176 -75,176.4 -75,176.8 -75,177.2 -75,177.6 -75,178 -75,178 -75.2,178 -75.4,178 -75.6,178 -75.8,178 -76,178 -76.2,178 -76.4,178 -76.6,178 -76.8,178 -77,177.6 -77,177.2 -77,176.8 -77,176.4 -77,176 -77,175.6 -77,175.2 -77,174.8 -77,174.4 -77,174 -77,174 -76.8,174 -76.6,174 -76.4,174 -76.2,174 -76,174 -75.8,174 -75.6,174 -75.4,174 -75.2,174 -75))"] | ["POINT(176 -76)"] | false | false |
Antarctic passive microwave Kmeans derived surface melt days, 1979-2020
|
1543432 |
2021-06-22 | Johnson, Andrew; Hock, Regine; Fahnestock, Mark |
Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model |
This dataset contains the total number of days per year with meltwater present at the surface across the Antarctic ice sheet and surrounding ice shelves derived from passive microwave satellite observations for each melt year from 1979/80 to 2019/20. This data comes from daily and near-daily SMMR, SSM/I, and SSMIS results at 25 km resolution at 19 GHz horizontal polarization. Each melt year starts on July 1 and ends June 30. The melt detection algorithm is described in Johnson and others (2020) and uses KMeans clustering analysis of the annual brightness temperature time series on each pixel to detect melt for that pixel and year. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Future climate response to Antarctic Ice Sheet melt caused by anthropogenic warming
|
1443347 |
2021-06-08 | Condron, Alan |
Collaborative Research: Assessing the Global Climate Response to Melting of the Antarctic Ice Sheet |
Meltwater and ice discharge from a retreating Antarctic Ice Sheet could have important impacts on future global climate. This dataset contains the results from multi-century (present–2250) climate simulations performed using a coupled numerical model integrated under future greenhouse-gas emission scenarios IPCC RCP4.5 and RCP8.5, with meltwater and ice discharge provided by a dynamic-thermodynamic ice sheet model. These results were published in Sadai et al., Science Advances, 2020, Vol. 6, eaaz1169 Please note that ALL the raw model data generated for this project is archived at Woods Hole Oceanographic Institution and the University of Massachusetts Amherst and freely available on request. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Simulated changes in Southern Ocean salinity
|
1443347 |
2021-05-04 | Condron, Alan |
Collaborative Research: Assessing the Global Climate Response to Melting of the Antarctic Ice Sheet |
This dataset contains the MITgcm model output data presented in Ashley, K.E. et al., 2021. This dataset includes simulated spatial changes in sea surface salinity (SSS), time series data of salinity, and scatter plot data of SSS changes against meltwater discharge. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture
|
1743310 |
2020-10-24 | Lai, Ching-Yao |
Satellite observations and modelling of surface meltwater flow and its impact on ice shelves |
This data set contains the results presented in Lai et al. (2020), including; the 125m-resolution fracture map, the spatial distribution of fracture depths and the required initial flaw size for hydrofracture, which is calculated using linear elastic fracture mechanics (LEFM) according to the ice-shelf stress fields and thickness. The dimensionless stress (Rxx_bar, defined in Lai et al. (2020)) governs how fractures behave. Using a dimensionless stress criteria we have determined which ice-shelf areas are vulnerable to hydrofracture if inundated with melt water (Rxx_bar >Rxx*_bar). | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Report on Antarctic surface hydrology workshop, LDEO, 2018
|
1743326 |
2019-03-22 | Kingslake, Jonathan; Trusel, Luke; Banwell, Alison; Bell, Robin; Das, Indrani; DeConto, Robert; Tedesco, Marco; Lenaerts, Jan; Schoof, Christian |
Workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability |
In February 2018, we hosted a workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability at Lamont-Doherty Earth Observatory, Palisades, New York. Funding for the workshop was provided by the U.S. National Science Foundation (NSF) Antarctic Glaciology Program (award number: 1743326). The aims of the workshop were to: (1) establish the state-of-the-science of Antarctic surface hydrology; (2) identify key science questions raised by observations and theoretical studies of Antarctic surface hydrology, and (3) move the community toward answering these questions by bringing together scientists with diverse expertise. The workshop was motivated by the premise that significant gains in our understanding can be made if researchers with interests in this field are provided with an opportunity to communicate and develop collaborations across disciplines. Here we report on the organisation, attendance, and structure of the workshop, before summarizing key science outcomes, research questions, and future priorities that emerged during the workshop within the following four themes: 1. Surface melting: controls and observations 2. Water ponding and flow 3. Impact of meltwater on ice-shelf stability 4. Ice-sheet/climate modeling Finally, building on the emergent science questions, we propose a framework for prioritizing future work, aimed at understanding and predicting the impact that surface meltwater will have on future Antarctic Ice Sheet mass balance. | [] | [] | false | false |
Antarctic Ice Sheet simulations for role of freshwater in future warming scenarios
|
1443394 |
2019-02-04 | Pollard, David |
Collaborative Research: Assessing the Global Climate Response to Melting of the Antarctic Ice Sheet |
The dataset consists of two tar files for two distinct sets of simulations. Each tar file contains a number of Netcdf files with model output for one simulation each, and also contains a DIF file (Directory Interchange Format, in xml form) with information on that part of the dataset. Set 1: There are 4 Netcdf files with output from the PSU 3D Antarctic ice sheet model including ice melange, showing role of melange in potentially providing buttressing and possibly slowing down ice retreat in strong climate warming scenarios. Set two: There are 2 Netcdf files with output from the PSU 3D Antarctic ice sheet model, for two future warming scenarios RCP4.5 and RCP8.5, contributing to oceanic meltwater discharge fields for future climate and ocean model simulations performed at Univ. Massachusetts by other PIs on the NSF project. More details on file names and model fields is provided in "Data Section" of the Readme file. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Stable water isotope data for the surface samples collected at the Allan Hills Blue ice area
|
1443306 1443263 |
2018-10-17 | Kurbatov, Andrei V.; Mayewski, Paul A.; Introne, Douglas; Yan, Yuzhen |
Collaborative Research: Window into the World with 40,000-year Glacial Cycles from Climate Records in Million Year-old Ice from the Allan Hills Blue Ice Area |
Stable water isotope data for the surface ice samples (listed as point numbers coordinates provided) collected at the Allan Hills Blue ice area have been generated under a collaborative effort by the University of Maine Climate Change Institute (NSF Award#1443306) and Princeton University (NSF Award# 1443263). This data set contains stable isotope data (dD, d18O) of meltwater samples collected from the area(76.73165 to 76.73348 S, 159.35343 to 159.42112 E). | ["POLYGON((159.35343 -76.73165,159.360199 -76.73165,159.366968 -76.73165,159.373737 -76.73165,159.380506 -76.73165,159.387275 -76.73165,159.394044 -76.73165,159.400813 -76.73165,159.407582 -76.73165,159.414351 -76.73165,159.42112 -76.73165,159.42112 -76.731833,159.42112 -76.732016,159.42112 -76.732199,159.42112 -76.732382,159.42112 -76.732565,159.42112 -76.732748,159.42112 -76.732931,159.42112 -76.733114,159.42112 -76.733297,159.42112 -76.73348,159.414351 -76.73348,159.407582 -76.73348,159.400813 -76.73348,159.394044 -76.73348,159.387275 -76.73348,159.380506 -76.73348,159.373737 -76.73348,159.366968 -76.73348,159.360199 -76.73348,159.35343 -76.73348,159.35343 -76.733297,159.35343 -76.733114,159.35343 -76.732931,159.35343 -76.732748,159.35343 -76.732565,159.35343 -76.732382,159.35343 -76.732199,159.35343 -76.732016,159.35343 -76.731833,159.35343 -76.73165))"] | ["POINT(159.387275 -76.732565)"] | false | false |
Stable water isotope data for the AH-1502 ice core drilled at the Allan Hills Blue ice area
|
1443306 1443263 |
2018-10-17 | Kurbatov, Andrei V.; Mayewski, Paul A.; Introne, Douglas; Yan, Yuzhen |
Collaborative Research: Window into the World with 40,000-year Glacial Cycles from Climate Records in Million Year-old Ice from the Allan Hills Blue Ice Area |
Stable water isotope data for the ice core drilled at the Allan Hills Blue ice area have been generated under a collaborative effort by the University of Maine Climate Change Institute (NSF Award#1443306) and Princeton University (NSF Award# 1443263). This data set contains stable isotope data (dD, d18O) of meltwater samples collected from the ice core AH-1502 (76.73286 S, 159.35507 E) was drilled in 2015-16 field season to 197 meters below the surface. | ["POINT(159.35507 -76.73286)"] | ["POINT(159.35507 -76.73286)"] | false | false |
Stable water isotope data for the AH-1503 ice core drilled at the Allan Hills Blue ice area
|
1443306 1443263 |
2018-10-16 | Kurbatov, Andrei V.; Mayewski, Paul A.; Introne, Douglas; Yan, Yuzhen |
Collaborative Research: Window into the World with 40,000-year Glacial Cycles from Climate Records in Million Year-old Ice from the Allan Hills Blue Ice Area |
Stable water isotope data for the AH-1503 ice core drilled at the Allan Hills Blue ice area have been generated under a collaborative effort by the University of Maine Climate Change Institute (NSF Award#1443263) and Princeton University (NSF Award# 1443263). This data set contains stable isotope data (dD, d18O) of meltwater samples collected from the ice core AH-1503 (76.73243 S, 159.3562 E). Ice core site AH-1503 used the same borehole as AH- BIT58 drilled down to 124 m during the 2011-12 field season. All drilling was conducted with a 3" Eclipse drill (Ice Drilling Design and Operations (IDDO)). | ["POINT(159.3562 -76.73243)"] | ["POINT(159.3562 -76.73243)"] | false | false |
Supraglacial Lake Depths on McMurdo Ice Shelf, Antarctica
|
1443126 |
2018-09-04 | MacAyeal, Douglas; Banwell, Alison |
Impact of Supraglacial Lakes on Ice-Shelf Stability |
During the melt seasons of 2015/6 and 2016/7, water pressure gages were deployed on the McMurdo Ice Shelf to observe water depth in supraglacial lakes and streams. This was done in support of research directed toward understanding how filling and draining supraglacial lakes would induce ice-shelf flexure and fracture. | ["POLYGON((165.911079 -77.872851,165.941267 -77.872851,165.971455 -77.872851,166.001643 -77.872851,166.031831 -77.872851,166.062019 -77.872851,166.092207 -77.872851,166.122395 -77.872851,166.152583 -77.872851,166.182771 -77.872851,166.212959 -77.872851,166.212959 -77.8781411,166.212959 -77.8834312,166.212959 -77.8887213,166.212959 -77.8940114,166.212959 -77.8993015,166.212959 -77.9045916,166.212959 -77.9098817,166.212959 -77.9151718,166.212959 -77.9204619,166.212959 -77.925752,166.182771 -77.925752,166.152583 -77.925752,166.122395 -77.925752,166.092207 -77.925752,166.062019 -77.925752,166.031831 -77.925752,166.001643 -77.925752,165.971455 -77.925752,165.941267 -77.925752,165.911079 -77.925752,165.911079 -77.9204619,165.911079 -77.9151718,165.911079 -77.9098817,165.911079 -77.9045916,165.911079 -77.8993015,165.911079 -77.8940114,165.911079 -77.8887213,165.911079 -77.8834312,165.911079 -77.8781411,165.911079 -77.872851))"] | ["POINT(166.062019 -77.8993015)"] | false | false |
Time-lapse video of McMurdo Ice Shelf surface melting and hydrology
|
1443126 |
2018-08-31 | MacAyeal, Douglas; Banwell, Alison |
Impact of Supraglacial Lakes on Ice-Shelf Stability |
During the Austral summer melt season of 2016-2017, an automatic camera was placed overlooking a surface lake feature on the McMurdo Ice Shelf. This camera created a time-lapse video (30 minute photograph time intervals) used to observe the filling and draining of the lake called Rift-Tip Lake located approximately 2 km from the McMurdo Ice Shelf ice front. The data was used in support of a field project to measure the flexural response of the McMurdo Ice Shelf (and ice shelves in general) to the filling and draining of supraglacial lakes. The time-lapse video begins 16 November 2016 and ends 27 January 2017. | ["POLYGON((166.152184 -77.902339,166.1559273 -77.902339,166.1596706 -77.902339,166.1634139 -77.902339,166.1671572 -77.902339,166.1709005 -77.902339,166.1746438 -77.902339,166.1783871 -77.902339,166.1821304 -77.902339,166.1858737 -77.902339,166.189617 -77.902339,166.189617 -77.9026372,166.189617 -77.9029354,166.189617 -77.9032336,166.189617 -77.9035318,166.189617 -77.90383,166.189617 -77.9041282,166.189617 -77.9044264,166.189617 -77.9047246,166.189617 -77.9050228,166.189617 -77.905321,166.1858737 -77.905321,166.1821304 -77.905321,166.1783871 -77.905321,166.1746438 -77.905321,166.1709005 -77.905321,166.1671572 -77.905321,166.1634139 -77.905321,166.1596706 -77.905321,166.1559273 -77.905321,166.152184 -77.905321,166.152184 -77.9050228,166.152184 -77.9047246,166.152184 -77.9044264,166.152184 -77.9041282,166.152184 -77.90383,166.152184 -77.9035318,166.152184 -77.9032336,166.152184 -77.9029354,166.152184 -77.9026372,166.152184 -77.902339))"] | ["POINT(166.1709005 -77.90383)"] | false | false |
McMurdo Ice Shelf GPS survey of vertical motion
|
1443126 |
2018-07-24 | MacAyeal, Douglas; Banwell, Alison |
Impact of Supraglacial Lakes on Ice-Shelf Stability |
Over 2 Austral summer periods in 2015/6 and 2016/17, up to 12 geodetic GPS receivers were deployed on the McMurdo Ice Shelf to study its vertical deflection in response to moving meltwater loads. (5 GPS were deployed in 2015/16, 12 in 2016/17.) The GPS receivers and antennas were supplied by UNAVCO and were Trimble NetR9’s and Zephyr Geodetic, respectively. The GPS receivers were stationary for the entire field seasons (were never moved). Following each field season, the GPS data were processed using MIT software called TRACK, which is part of the GAMIT package. The UNAVCO-run base station at McMurdo Station, approximately 16 km away from the field area, was used as part of the processing. | ["POLYGON((166.02819 -77.887495,166.053634 -77.887495,166.079078 -77.887495,166.104522 -77.887495,166.129966 -77.887495,166.15541 -77.887495,166.180854 -77.887495,166.206298 -77.887495,166.231742 -77.887495,166.257186 -77.887495,166.28263 -77.887495,166.28263 -77.8926145,166.28263 -77.897734,166.28263 -77.9028535,166.28263 -77.907973,166.28263 -77.9130925,166.28263 -77.918212,166.28263 -77.9233315,166.28263 -77.928451,166.28263 -77.9335705,166.28263 -77.93869,166.257186 -77.93869,166.231742 -77.93869,166.206298 -77.93869,166.180854 -77.93869,166.15541 -77.93869,166.129966 -77.93869,166.104522 -77.93869,166.079078 -77.93869,166.053634 -77.93869,166.02819 -77.93869,166.02819 -77.9335705,166.02819 -77.928451,166.02819 -77.9233315,166.02819 -77.918212,166.02819 -77.9130925,166.02819 -77.907973,166.02819 -77.9028535,166.02819 -77.897734,166.02819 -77.8926145,166.02819 -77.887495))"] | ["POINT(166.15541 -77.9130925)"] | false | false |
Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs
|
1043580 |
2016-01-01 | Reusch, David |
Collaborative Research: Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
The presence of ice ponds from surface melting of glacial ice can be a significant threshold in assessing the stability of ice sheets, and their overall response to a warming climate. Snow melt has a much reduced albedo, leading to additional seasonal melting from warming insolation. Water run-off not only contributes to the mass loss of ice sheets directly, but meltwater reaching the glacial ice bed may lubricate faster flow of ice sheets towards the ocean. Surficial meltwater may also reach the grounding lines of glacial ice through the wedging open of existing crevasses. The occurrence and amount of meltwater refreeze has even been suggested as a paleo proxy of near-surface atmospheric temperature regimes. Using contemporary remote sensing (microwave) satellite assessment of surface melt occurrence and extent, the predictive skill of regional meteorological models and reanalyses (e.g. WRF, ERA-Interim) to describe the synoptic conditions favourable to surficial melt is to be investigated. Statistical approaches and pattern recognition techniques are argued to provide a context for projecting future ice sheet change. The previous Intergovernmental Panel on Climate Change (IPCC AR4) commented on our lack of understanding of ice-sheet mass balance processes in polar regions and the potential for sea-level change. The IPPC suggested that the forthcoming AR5 efforts highlight regional cryosphere modeling efforts, such as is proposed here. | ["POLYGON((-180 -47,-144 -47,-108 -47,-72 -47,-36 -47,0 -47,36 -47,72 -47,108 -47,144 -47,180 -47,180 -51.3,180 -55.6,180 -59.9,180 -64.2,180 -68.5,180 -72.8,180 -77.1,180 -81.4,180 -85.7,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.7,-180 -81.4,-180 -77.1,-180 -72.8,-180 -68.5,-180 -64.2,-180 -59.9,-180 -55.6,-180 -51.3,-180 -47))"] | ["POINT(0 -89.999)"] | false | false |
A New Reconstruction of the Last West Antarctic Ice Sheet Deglaciation in the Ross Sea
|
1043485 |
2015-01-01 | Kurz, Mark D.; Curtice, Josh |
Collaborative Research: A New Reconstruction of the Last West Antarctic Ice Sheet Deglaciation in the Ross Sea |
This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation. | ["POLYGON((163.4 -77.47989,163.9848 -77.47989,164.5696 -77.47989,165.1544 -77.47989,165.7392 -77.47989,166.324 -77.47989,166.9088 -77.47989,167.4936 -77.47989,168.0784 -77.47989,168.6632 -77.47989,169.248 -77.47989,169.248 -77.565701,169.248 -77.651512,169.248 -77.737323,169.248 -77.823134,169.248 -77.908945,169.248 -77.994756,169.248 -78.080567,169.248 -78.166378,169.248 -78.252189,169.248 -78.338,168.6632 -78.338,168.0784 -78.338,167.4936 -78.338,166.9088 -78.338,166.324 -78.338,165.7392 -78.338,165.1544 -78.338,164.5696 -78.338,163.9848 -78.338,163.4 -78.338,163.4 -78.252189,163.4 -78.166378,163.4 -78.080567,163.4 -77.994756,163.4 -77.908945,163.4 -77.823134,163.4 -77.737323,163.4 -77.651512,163.4 -77.565701,163.4 -77.47989))"] | ["POINT(166.324 -77.908945)"] | false | false |
Standing Water Depth on Larsen B Ice Shelf
|
0944248 |
2014-04-29 | MacAyeal, Douglas |
Model Studies of Surface Water Behavior on Ice Shelves |
This data set addresses why surface melt water lakes on ice shelves and ice sheets are notably influential in triggering ice-shelf break-up and modulating seasonal ice flow, and are thus principle avenues by which environmental change can be transmitted to the ice sheets of Antarctica and Greenland. A comparative analysis is performed of lake geometry and derived depth (using Landsat image reflectance) in two distinct regions, one a collapsing ice shelf and the other an ablation zone of a land terminating ice sheet, to better characterize the range of surface lake variability. | ["POLYGON((-63 -63,-62.2 -63,-61.4 -63,-60.6 -63,-59.8 -63,-59 -63,-58.2 -63,-57.4 -63,-56.6 -63,-55.8 -63,-55 -63,-55 -63.4,-55 -63.8,-55 -64.2,-55 -64.6,-55 -65,-55 -65.4,-55 -65.8,-55 -66.2,-55 -66.6,-55 -67,-55.8 -67,-56.6 -67,-57.4 -67,-58.2 -67,-59 -67,-59.8 -67,-60.6 -67,-61.4 -67,-62.2 -67,-63 -67,-63 -66.6,-63 -66.2,-63 -65.8,-63 -65.4,-63 -65,-63 -64.6,-63 -64.2,-63 -63.8,-63 -63.4,-63 -63))"] | ["POINT(-59 -65)"] | false | false |
Biogeochemistry of Cyanobactrial Mats and Hyporheic Zone Microbes in McMurdo Dry Valley Glacial Meltwater Streams
|
0739648 |
2013-01-01 | Cary, S. Craig |
Collaborative Research: Biogeochemistry of Cyanobactrial Mats and Hyporheic Zone Microbes in McMurdo Dry Valley Glacial Meltwater Streams |
The glacial streams of the McMurdo Dry Valleys have extensive cyanobacterial mats that are a probable source of fixed C and N to the Valleys. The research will examine the interplay between the microbial mats in the ephemeral glacial streams and the microbiota of the hyporheic soils (wetted soil zone) underlying and adjacent to those mats. It is hypothesized that the mats are important sources of organic carbon and fixed nitrogen for the soil communities of the hyporheic zone, and release dissolved organic carbon (DOC) and nitrogen (DON) that serves the entire Dry Valley ecosystem. Field efforts will entail both observational and experimental components. Direct comparisons will be made between the mats and microbial populations underlying naturally rehydrated and desiccated mat areas, and between mat areas in the melt streams of the Adams and Miers Glaciers in Miers Valley. Both physiological and phylogenetic indices of the soil microbiota will be examined. Observations will include estimates of rates of mat carbon and nitrogen fixation, soil respiration and leucine and thymidine uptake (as measures of protein & DNA synthesis, respectively) by soil bacteria, bacterial densities and their molecular ecology. Experimental manipulations will include experimental re-wetting of soils and observations of the time course of response of the microbial community. The research will integrate modern molecular genetic approaches (ARISA-DNA fingerprinting and ultra deep 16S rDNA microbial phylogenetic analysis) with geochemistry to study the diversity, ecology, and function of microbial communities that thrive in these extreme environments. The broader impacts of the project include research and educational opportunities for graduate students and a postdoctoral associate. The P.I.s will involve undergraduates as work-study students and in REU programs, and will participate in educational and outreach programs. | ["POINT(163 -77.5)"] | ["POINT(163 -77.5)"] | false | false |
Microparticle, Conductivity, and Density Measurements from the WAIS Divide Deep Ice Core, Antarctica
|
0636740 |
2011-10-01 | Kreutz, Karl; Hamilton, Gordon S.; Breton, Daniel; Koffman, Bess |
Collaborative Research: Microparticle/tephra analysis of the WAIS Divide ice core |
This data set includes microparticle concentration, electrical conductivity, and density measurements from the West Antarctic Ice Sheet (WAIS) Divide deep ice core, WDC06A. Microparticle concentration data are reported as total particles per ml of meltwater. Concentration was measured using a laser detector and the University of Maine WAIS Melt Monitor system. Conductivity is measured in micro-Siemens per cm (uS/cm). Density data were collected on 3 by 3 by 100 cm sticks from the WDC06A core, using the Maine Automated Density Gauge Experiment (MADGE). Density data span 0 to 160 m in depth, while the particle and conductivity measurements span the upper 577 m of the core. Data are available via FTP in ASCII text format (.txt). | ["POINT(112.088333 -79.482778)", "POINT(-112.088333 -79.482778)"] | ["POINT(112.088333 -79.482778)", "POINT(-112.088333 -79.482778)"] | false | false |