{"dp_type": "Dataset", "free_text": "Model Data"}
[{"awards": "2324092 MacKie, Emma", "bounds_geometry": ["POLYGON((95 -65,96 -65,97 -65,98 -65,99 -65,100 -65,101 -65,102 -65,103 -65,104 -65,105 -65,105 -65.7,105 -66.4,105 -67.1,105 -67.8,105 -68.5,105 -69.2,105 -69.9,105 -70.6,105 -71.3,105 -72,104 -72,103 -72,102 -72,101 -72,100 -72,99 -72,98 -72,97 -72,96 -72,95 -72,95 -71.3,95 -70.6,95 -69.9,95 -69.2,95 -68.5,95 -67.8,95 -67.1,95 -66.4,95 -65.7,95 -65))"], "date_created": "Mon, 21 Apr 2025 00:00:00 GMT", "description": "This dataset is a result of a study which uses Monte Carlo Markov Chain and geostatistics to infer subglacial topography from sparse bed elevation measurements. The dataset consists of 40 equally probable realizations of subglacial topography in the Denman region. Each of the realizations is constrained by conservation of ice mass (mass conservation), complies with bed elevation measurements from bedmap3 dataset, and has a realistic topographic roughness. The topography has 1 kilometer times 1 kilometer resolution on a regular grid in polar stereographic projection (EPSG 3412).", "east": 105.0, "geometry": ["POINT(100 -68.5)"], "keywords": "Antarctica; Cryosphere; Denman Glacier; East Antarctica; Geostatistics; Ice Thickness; MCMC; Model Data; Monte Carlo Markov Chain; Subglacial Topography", "locations": "Antarctica; East Antarctica; Denman Glacier", "north": -65.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "persons": "Shao, Niya; MacKie, Emma; Michael, Field; McCormack, Felicity", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": -72.0, "title": "Ensemble of subglacial topography beneath Denman Glacier generated by geostatistical Monte Carlo Markov Chain under mass conservation principle", "uid": "601927", "west": 95.0}, {"awards": "2136938 Tedesco, Marco", "bounds_geometry": ["POLYGON((-40 67.55,-39.611 67.55,-39.222 67.55,-38.833 67.55,-38.444 67.55,-38.055 67.55,-37.666 67.55,-37.277 67.55,-36.888 67.55,-36.499 67.55,-36.11 67.55,-36.11 67.28999999999999,-36.11 67.03,-36.11 66.77,-36.11 66.51,-36.11 66.25,-36.11 65.99,-36.11 65.73,-36.11 65.47,-36.11 65.21000000000001,-36.11 64.95,-36.499 64.95,-36.888 64.95,-37.277 64.95,-37.666 64.95,-38.055 64.95,-38.444 64.95,-38.833 64.95,-39.222 64.95,-39.611 64.95,-40 64.95,-40 65.21000000000001,-40 65.47,-40 65.73,-40 65.99,-40 66.25,-40 66.51,-40 66.77,-40 67.03,-40 67.28999999999999,-40 67.55))"], "date_created": "Mon, 07 Oct 2024 00:00:00 GMT", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003eThe data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Mod\u00e9le Atmosph\u00e9rique R\u00e8gional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. \r\n\u003cbr/\u003e\u003cbr/\u003eA similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. \r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003e", "east": -36.11, "geometry": ["POINT(-38.055 66.25)"], "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Greenland; Ice Sheet; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "locations": "Greenland; Antarctica; Greenland", "north": 67.55, "nsf_funding_programs": "Polar Cyberinfrastructure", "persons": "Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco", "project_titles": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "projects": [{"proj_uid": "p0010277", "repository": "USAP-DC", "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": 64.95, "title": "Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications", "uid": "601841", "west": -40.0}, {"awards": "2136938 Tedesco, Marco", "bounds_geometry": ["POLYGON((-68.5 -65.25,-67.35 -65.25,-66.2 -65.25,-65.05 -65.25,-63.9 -65.25,-62.75 -65.25,-61.6 -65.25,-60.45 -65.25,-59.3 -65.25,-58.15 -65.25,-57 -65.25,-57 -65.652,-57 -66.054,-57 -66.456,-57 -66.858,-57 -67.25999999999999,-57 -67.66199999999999,-57 -68.064,-57 -68.466,-57 -68.868,-57 -69.27,-58.15 -69.27,-59.3 -69.27,-60.45 -69.27,-61.6 -69.27,-62.75 -69.27,-63.9 -69.27,-65.05 -69.27,-66.2 -69.27,-67.35 -69.27,-68.5 -69.27,-68.5 -68.868,-68.5 -68.466,-68.5 -68.064,-68.5 -67.66199999999999,-68.5 -67.25999999999999,-68.5 -66.858,-68.5 -66.456,-68.5 -66.054,-68.5 -65.652,-68.5 -65.25))"], "date_created": "Mon, 07 Oct 2024 00:00:00 GMT", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Lambert azimuthal equal area projection; EPSG 9820) over Larsen C Ice Shelf and surrounding areas in Antarctica. The data is prepared to be used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n\u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003eThe data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Mod\u00e9le Atmosph\u00e9rique R\u00e8gional (MAR) regional climate model, a static digital elevation model (DEM), and an ice sheet mask. \r\n\u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003eA similar dataset has been produced for Helheim Glacier, Greenland and is also available through the US Antarctic Program Data Center.", "east": -57.0, "geometry": ["POINT(-62.75 -67.25999999999999)"], "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Larsen C Ice Shelf; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "locations": "Antarctica; Larsen C Ice Shelf", "north": -65.25, "nsf_funding_programs": "Polar Cyberinfrastructure", "persons": "Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco", "project_titles": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "projects": [{"proj_uid": "p0010277", "repository": "USAP-DC", "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.27, "title": "Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications", "uid": "601842", "west": -68.5}, {"awards": "2138277 Gallagher, Katherine", "bounds_geometry": ["POLYGON((-97.5 -56,-92.2 -56,-86.9 -56,-81.6 -56,-76.3 -56,-71 -56,-65.7 -56,-60.4 -56,-55.1 -56,-49.800000000000004 -56,-44.5 -56,-44.5 -58,-44.5 -60,-44.5 -62,-44.5 -64,-44.5 -66,-44.5 -68,-44.5 -70,-44.5 -72,-44.5 -74,-44.5 -76,-49.8 -76,-55.1 -76,-60.4 -76,-65.7 -76,-71 -76,-76.3 -76,-81.6 -76,-86.9 -76,-92.19999999999999 -76,-97.5 -76,-97.5 -74,-97.5 -72,-97.5 -70,-97.5 -68,-97.5 -66,-97.5 -64,-97.5 -62,-97.5 -60,-97.5 -58,-97.5 -56))"], "date_created": "Thu, 09 May 2024 00:00:00 GMT", "description": "This dataset contains simulated krill trajectories from the Regional Ocean Modeling System (ROMS) in NETCDF format. Files include latitude, longitude, and depth of particles released along the West Antarctic Peninsula within the ROMS framework with diel vertical migration behavior added to simulate Antarctic krill behavior. Time frames and diel vertical migration behaviors simulated are included in a .csv file. Data currently cover 4 austral summers: 2006, 2007, 2010, and 2011. Five different vertical migration behaviors were simulated, for a total of 20 simulations.", "east": -44.5, "geometry": ["POINT(-71 -66)"], "keywords": "Antarctica; Antarctic Krill; Cryosphere; Model Data; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "locations": "West Antarctic Shelf; Antarctica", "north": -56.0, "nsf_funding_programs": "Post Doc/Travel", "persons": "Gallagher, Katherine", "project_titles": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula", "projects": [{"proj_uid": "p0010349", "repository": "USAP-DC", "title": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -76.0, "title": "Simulated krill trajectory data from Regional Ocean Modeling System simulations 2006-2007 \u0026 2010-2011", "uid": "601780", "west": -97.5}, {"awards": "2138277 Gallagher, Katherine", "bounds_geometry": ["POLYGON((-97.5 -55,-92.05 -55,-86.6 -55,-81.15 -55,-75.7 -55,-70.25 -55,-64.8 -55,-59.35 -55,-53.9 -55,-48.449999999999996 -55,-43 -55,-43 -57.1,-43 -59.2,-43 -61.3,-43 -63.4,-43 -65.5,-43 -67.6,-43 -69.7,-43 -71.8,-43 -73.9,-43 -76,-48.45 -76,-53.9 -76,-59.35 -76,-64.8 -76,-70.25 -76,-75.7 -76,-81.15 -76,-86.6 -76,-92.05000000000001 -76,-97.5 -76,-97.5 -73.9,-97.5 -71.8,-97.5 -69.7,-97.5 -67.6,-97.5 -65.5,-97.5 -63.4,-97.5 -61.3,-97.5 -59.2,-97.5 -57.099999999999994,-97.5 -55))"], "date_created": "Thu, 09 May 2024 00:00:00 GMT", "description": "This dataset includes daily-averaged current speed and velocity data from the Regional Ocean Modeling System. Domain covers the West Antarctic Peninsula. Simulations are from the 2006, 2007, 2010, and 2011 seasons.", "east": -43.0, "geometry": ["POINT(-70.25 -65.5)"], "keywords": "Antarctica; Cryosphere; Model Data; Ocean Currents; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "locations": "West Antarctic Shelf; Antarctica", "north": -55.0, "nsf_funding_programs": "Post Doc/Travel", "persons": "Gallagher, Katherine", "project_titles": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula", "projects": [{"proj_uid": "p0010349", "repository": "USAP-DC", "title": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -76.0, "title": "Current velocity and direction data from Regional Ocean Modeling System simulations (2006-2007 \u0026 2010-2011)", "uid": "601779", "west": -97.5}, {"awards": "1443677 Padman, Laurence; 9896041 Padman, Laurence", "bounds_geometry": ["POLYGON((-180 -40.231,-144 -40.231,-108 -40.231,-72 -40.231,-36 -40.231,0 -40.231,36 -40.231,72 -40.231,108 -40.231,144 -40.231,180 -40.231,180 -45.2079,180 -50.1848,180 -55.161699999999996,180 -60.1386,180 -65.1155,180 -70.0924,180 -75.0693,180 -80.0462,180 -85.0231,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.0231,-180 -80.0462,-180 -75.0693,-180 -70.0924,-180 -65.1155,-180 -60.138600000000004,-180 -55.1617,-180 -50.1848,-180 -45.2079,-180 -40.231))"], "date_created": "Wed, 27 Mar 2024 00:00:00 GMT", "description": "CATS2008_v2023 is an update of the original CATS2008 tide model (Howard et al., 2019 [https://doi.org/10.15784/601235]; Padman et al., 2002 [https://doi.org/10.3189/172756402781817752]). It introduces a new model file format, increased resolution, more accurate coastlines, and a simple scaling for ice shelf flexure near grounding lines. The changes included in the new CATS2008_v2023 model are: (1) The CATS2008 model has been interpolated to a finer grid (2 km for CATS2008_v2023 vs 4 km for CATS2008) to provide a better representation of coastlines and ice shelf grounding lines. (2) Coastlines have been adjusted to match BedMachine Antarctica v3 (Morlighem et al., 2020 [https://doi.org/10.1038/s41561-019-0510-8]; Morlighem, 2022 [https://doi.org/10.5067/FPSU0V1MWUB6]). Areas that were previously grounded and had no tidal constituent data in CATS2008 have been filled using MATLAB\u0027s \u2018regionfill\u2019 function, applied to the real and imaginary components of tidal constituents individually. An ocean mask matching BedMachine Antarctica v3 is provided in the model file to mask out grounded areas. (3) Water depth (water column thickness under ice shelves) has been adjusted to match BedMachine Antarctica v3. (4) An ice shelf flexure model has been included for estimating tidal deflections in grounding zones. Flexure is approximated by a forward 1D linear elastic model applied to BedMachine Antarctica v3 ice geometry, with elastic modulus E=4.8 GPa and Poisson\u0027s ratio nu=0.4. The ice flexure can be included as an option when using TMD3.0 (Greene et al., 2024 [https://doi.org/10.21105/joss.06018]) and pyTMD (Sutterley, 2024 [https://doi.org/10.5281/zenodo.10501349]) software packages. (5) The model is provided as a consolidated NetCDF file that can be used with TMD3.0 and pyTMD, but not with earlier TMD versions. ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Cryosphere; Inverse Modeling; Model Data; Ocean Currents; Oceans; Sea Surface; Southern Ocean; Tide Model; Tides", "locations": "Antarctica; Sea Surface; Southern Ocean", "north": -40.231, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences; Antarctic Ocean and Atmospheric Sciences; Antarctic Ocean and Atmospheric Sciences", "persons": "Howard, Susan L.; Greene, Chad A.; Padman, Laurence; Erofeeva, Svetlana; Sutterley, Tyler", "project_titles": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE); Ocean Tides around Antarctica and in the Southern Ocean", "projects": [{"proj_uid": "p0010116", "repository": "USAP-DC", "title": "Ocean Tides around Antarctica and in the Southern Ocean"}, {"proj_uid": "p0010035", "repository": "USAP-DC", "title": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "CATS2008_v2023: Circum-Antarctic Tidal Simulation 2008, version 2023", "uid": "601772", "west": -180.0}, {"awards": "2139002 Huth, Alexander", "bounds_geometry": ["POLYGON((-67 -66,-66.3 -66,-65.6 -66,-64.9 -66,-64.2 -66,-63.5 -66,-62.8 -66,-62.1 -66,-61.4 -66,-60.7 -66,-60 -66,-60 -66.4,-60 -66.8,-60 -67.2,-60 -67.6,-60 -68,-60 -68.4,-60 -68.8,-60 -69.2,-60 -69.6,-60 -70,-60.7 -70,-61.4 -70,-62.1 -70,-62.8 -70,-63.5 -70,-64.2 -70,-64.9 -70,-65.6 -70,-66.3 -70,-67 -70,-67 -69.6,-67 -69.2,-67 -68.8,-67 -68.4,-67 -68,-67 -67.6,-67 -67.2,-67 -66.8,-67 -66.4,-67 -66))"], "date_created": "Thu, 24 Aug 2023 00:00:00 GMT", "description": "This dataset contains a model (Elmer/Ice Fortran modules) to simulate rifting on ice shelves. The model combines the vertically integrated momentum balance and anisotropic continuum damage mechanics formulations. Additionally, it accounts for rift-flank boundary processes, including pressure on rift-flank walls from seawater, contact between flanks, and ice m\u00e9lange that may also transmit stress between flanks.\r\n\r\nThis dataset also contains the input data (Elmer restart files), input files (Elmer .sifs), and Slurm batch scripts to run five experiments. All experiments aim to simulate the final two years of rift propagation that led to the calving of tabular iceberg A68 from Larsen C ice shelf in 2017. However, each experiment differs in its treatment of rift-flank boundary processes, which affects the rift path.\r\n\r\nFor more information, see the associated publication (Huth et al., 2023).", "east": -60.0, "geometry": ["POINT(-63.5 -68)"], "keywords": "Antarctica; Glaciology; Iceberg; Ice Shelf Dynamics; Larsen C Ice Shelf; Model Data; Modeling", "locations": "Larsen C Ice Shelf; Antarctica", "north": -66.0, "nsf_funding_programs": "Post Doc/Travel", "persons": "Huth, Alexander", "project_titles": "OPP-PRF Calving, Icebergs, and Climate", "projects": [{"proj_uid": "p0010276", "repository": "USAP-DC", "title": "OPP-PRF Calving, Icebergs, and Climate"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -70.0, "title": "Simulations of ice-shelf rifting on Larsen C Ice Shelf", "uid": "601718", "west": -67.0}, {"awards": "1543445 Zhang, Jing", "bounds_geometry": ["POLYGON((-70.9 -65,-69.51 -65,-68.12 -65,-66.73 -65,-65.34 -65,-63.95 -65,-62.56 -65,-61.17 -65,-59.78 -65,-58.39 -65,-57 -65,-57 -65.5,-57 -66,-57 -66.5,-57 -67,-57 -67.5,-57 -68,-57 -68.5,-57 -69,-57 -69.5,-57 -70,-58.39 -70,-59.78 -70,-61.17 -70,-62.56 -70,-63.95 -70,-65.34 -70,-66.73 -70,-68.12 -70,-69.51 -70,-70.9 -70,-70.9 -69.5,-70.9 -69,-70.9 -68.5,-70.9 -68,-70.9 -67.5,-70.9 -67,-70.9 -66.5,-70.9 -66,-70.9 -65.5,-70.9 -65))"], "date_created": "Wed, 03 May 2023 00:00:00 GMT", "description": "This dataset includes the 3-km resolution budget terms of surface mass balance (SMB) and surface energy budget (SEB) for the Larsen C Ice Shelf during the melting season of 2017-18. The variables include the SMB budget terms of net surface mass balance, precipitation, runoff, blowing snow erosion, surface sublimation, and blowing snow sublimation, and the SEB budget terms of net surface energy budget, downwelling and upwelling longwave radiation, surface absorbed shortwave radiation, ground heat flux, and sensible / latent heat flux.", "east": -57.0, "geometry": ["POINT(-63.95 -67.5)"], "keywords": "Antarctica; Glaciology; Larsen C Ice Shelf; Model Data; Surface Energy Budget; Surface Mass Balance; WRF Model", "locations": "Antarctica; Larsen C Ice Shelf", "north": -65.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Zhang, Jing; Luo, Liping", "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": -70.0, "title": "3-km Surface Mass and Energy Budget for the Larsen C Ice Shelf", "uid": "601685", "west": -70.9}, {"awards": "2138277 Gallagher, Katherine", "bounds_geometry": ["POLYGON((-97.5 -55,-92.05 -55,-86.6 -55,-81.15 -55,-75.7 -55,-70.25 -55,-64.8 -55,-59.35 -55,-53.9 -55,-48.449999999999996 -55,-43 -55,-43 -57.1,-43 -59.2,-43 -61.3,-43 -63.4,-43 -65.5,-43 -67.6,-43 -69.7,-43 -71.8,-43 -73.9,-43 -76,-48.45 -76,-53.9 -76,-59.35 -76,-64.8 -76,-70.25 -76,-75.7 -76,-81.15 -76,-86.6 -76,-92.05000000000001 -76,-97.5 -76,-97.5 -73.9,-97.5 -71.8,-97.5 -69.7,-97.5 -67.6,-97.5 -65.5,-97.5 -63.4,-97.5 -61.3,-97.5 -59.2,-97.5 -57.099999999999994,-97.5 -55))"], "date_created": "Fri, 13 Jan 2023 00:00:00 GMT", "description": "This dataset includes daily-averaged current speed and velocity data from the Regional Ocean Modeling System. Domain covers the West Antarctic Peninsula. Simulations are from the 2008, 2009, 2018, and 2019 seasons. ", "east": -43.0, "geometry": ["POINT(-70.25 -65.5)"], "keywords": "Antarctica; Model Data; Ocean Currents; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "locations": "Antarctica; West Antarctic Shelf", "north": -55.0, "nsf_funding_programs": "Post Doc/Travel", "persons": "Gallagher, Katherine", "project_titles": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula", "projects": [{"proj_uid": "p0010349", "repository": "USAP-DC", "title": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -76.0, "title": "Current velocity and direction data from Regional Ocean Modeling System simulations (2008-2009 \u0026 2018-2019)", "uid": "601656", "west": -97.5}, {"awards": "2138277 Gallagher, Katherine", "bounds_geometry": ["POLYGON((-97.5 -56,-92.2 -56,-86.9 -56,-81.6 -56,-76.3 -56,-71 -56,-65.7 -56,-60.4 -56,-55.1 -56,-49.800000000000004 -56,-44.5 -56,-44.5 -58,-44.5 -60,-44.5 -62,-44.5 -64,-44.5 -66,-44.5 -68,-44.5 -70,-44.5 -72,-44.5 -74,-44.5 -76,-49.8 -76,-55.1 -76,-60.4 -76,-65.7 -76,-71 -76,-76.3 -76,-81.6 -76,-86.9 -76,-92.19999999999999 -76,-97.5 -76,-97.5 -74,-97.5 -72,-97.5 -70,-97.5 -68,-97.5 -66,-97.5 -64,-97.5 -62,-97.5 -60,-97.5 -58,-97.5 -56))"], "date_created": "Fri, 13 Jan 2023 00:00:00 GMT", "description": "This dataset contains simulated krill trajectories from the Regional Ocean Modeling System (ROMS) in NETCDF format. Files include latitude, longitude, and depth of particles released along the West Antarctic Peninsula within the ROMS framework with diel vertical migration behavior added to simulate Antarctic krill behavior. Time frames and diel vertical migration behaviors simulated are included in a .csv file. Data currently cover 4 austral summers: 2008, 2009, 2018, and 2019. Five different vertical migration behaviors were simulated, for a total of 20 simulations. ", "east": -44.5, "geometry": ["POINT(-71 -66)"], "keywords": "Antarctica; Antarctic Krill; Model Data; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "locations": "Antarctica; West Antarctic Shelf", "north": -56.0, "nsf_funding_programs": "Post Doc/Travel", "persons": "Gallagher, Katherine", "project_titles": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula", "projects": [{"proj_uid": "p0010349", "repository": "USAP-DC", "title": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -76.0, "title": "Simulated krill trajectory data from Regional Ocean Modeling System simulations 2008-2009 \u0026 2018-2019", "uid": "601655", "west": -97.5}, {"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": "1842021 Campbell, Seth", "bounds_geometry": ["POLYGON((-168 -82,-162.3 -82,-156.6 -82,-150.9 -82,-145.2 -82,-139.5 -82,-133.8 -82,-128.1 -82,-122.4 -82,-116.7 -82,-111 -82,-111 -82.6,-111 -83.2,-111 -83.8,-111 -84.4,-111 -85,-111 -85.6,-111 -86.2,-111 -86.8,-111 -87.4,-111 -88,-116.7 -88,-122.4 -88,-128.1 -88,-133.8 -88,-139.5 -88,-145.2 -88,-150.9 -88,-156.6 -88,-162.3 -88,-168 -88,-168 -87.4,-168 -86.8,-168 -86.2,-168 -85.6,-168 -85,-168 -84.4,-168 -83.8,-168 -83.2,-168 -82.6,-168 -82))"], "date_created": "Sat, 12 Dec 2020 00:00:00 GMT", "description": "The dataset includes initialization and output files of a numerical ice flow simulation of the Whillans and Mercer Ice Streams . The Ice Sheet System Model (ISSM) model was used to solve a 100-year transient stress balance solution of the region with ~10 kPA/yr friction increase downstream of the shear margin between the Whillans and Mercer ice streams. \r\n", "east": -111.0, "geometry": ["POINT(-139.5 -85)"], "keywords": "Antarctica; Glaciology; Ice Sheet Flow Model; Ice Shelf Dynamics; Mercer Ice Stream; Model Data; Snow/ice; Snow/Ice; Whillans Ice Stream", "locations": "Antarctica; Mercer Ice Stream; Whillans Ice Stream", "north": -82.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Kaluzienski, Lynn", "project_titles": "RAPID Proposal: Constraining kinematics of the Whillans/Mercer Ice Stream Confluence", "projects": [{"proj_uid": "p0010145", "repository": "USAP-DC", "title": "RAPID Proposal: Constraining kinematics of the Whillans/Mercer Ice Stream Confluence"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -88.0, "title": "Whillans and Mercer Shear Margin Ice Flow simulation in ISSM", "uid": "601404", "west": -168.0}, {"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": "1542885 Dunham, Eric; 1656518 Gumport, Patricia", "bounds_geometry": null, "date_created": "Mon, 11 May 2020 00:00:00 GMT", "description": "We quantify sliding stability and rupture styles for a horizontal interface between an elastic layer and stiffer elastic half-space with a free surface on top and rate-and-state friction on the interface. Specific motivation (and model parameters) comes from quasi-periodic slow slip events on the Whillans Ice Plain in West Antarctica. We quantify the influence of layer thickness on sliding stability, specifically whether steady loading of the system produces steady sliding or sequences of stick-slip events. This dataset contains input files from different parts of parameter space to demonstrate different styles of slip (steady sliding, slow slip sequences, and fast slip sequences).", "east": null, "geometry": null, "keywords": "Antarctica; Computer Model; Glaciology; Model Data; Shear Stress; Solid Earth; Whillans Ice Stream", "locations": "Whillans Ice Stream; Antarctica", "north": null, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Abrahams, Lauren", "project_titles": "Collaborative Research: Characterizing Brittle Failure and Fracture Propagation in Fast Ice Sliding with Dynamic Rupture Models based on Whillans Ice Stream Seismic/Geodetic Data", "projects": [{"proj_uid": "p0010138", "repository": "USAP-DC", "title": "Collaborative Research: Characterizing Brittle Failure and Fracture Propagation in Fast Ice Sliding with Dynamic Rupture Models based on Whillans Ice Stream Seismic/Geodetic Data"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Earthquake Sequence Dynamics at the Interface Between an Elastic Layer and Underlying Half-Space in Antiplane Shear", "uid": "601320", "west": null}, {"awards": "9896041 Padman, Laurence; 1443677 Padman, Laurence", "bounds_geometry": ["POLYGON((-180 -40.231,-144 -40.231,-108 -40.231,-72 -40.231,-36 -40.231,0 -40.231,36 -40.231,72 -40.231,108 -40.231,144 -40.231,180 -40.231,180 -45.2079,180 -50.1848,180 -55.1617,180 -60.1386,180 -65.1155,180 -70.0924,180 -75.0693,180 -80.0462,180 -85.0231,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.0231,-180 -80.0462,-180 -75.0693,-180 -70.0924,-180 -65.1155,-180 -60.1386,-180 -55.1617,-180 -50.1848,-180 -45.2079,-180 -40.231))"], "date_created": "Thu, 19 Dec 2019 00:00:00 GMT", "description": "CATS2008 is a regional inverse barotropic tide model for the circum-Antarctic ocean on a 4 km grid. The model domain includes ocean cavities under the floating ice shelves. The coastline is based on the MODIS MOA [Scambos et al., 2007; Remote Sensing of Environment] feature identification files, adjusted to match ICESat-derived grounding lines for the Ross and Filchner-Ronne ice shelves and Interferometric Synthetic Aperture Radar (InSAR) grounding lines. The water depth map for open water is based on the 2007 release update to Smith and Sandwell [1997; Science]. Adjustments to this map have been made in various regions, including the open continental shelf in front of the Larsen-C Ice Shelf which has been blended with GEBCO bathymetry.\r\n\nModel type: Tides only; Inverse (data assimilation); barotropic (no vertical variation of currents). \nGrid: 4-km uniform polar stereographic (centered at 71 degrees S, 70 degrees W) \nConstituents: M2, S2, N2, K2, K1, O1, P1, Q1, Mf, Mm. \nUnits: z (sea surface height; meters); u,v (currents; cm/s); U,V (transports; m2/s). \nCoordinates: Currents (u, v) and depth-integrated transports (U, V) are given as East (u, U) and North (v, V) components. \nCitation: \"\u2026 an update to the inverse model described by Padman et al. [2002].\" \n\nSee CATS2008_README.pdf for further details.\r", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Inverse Modeling; Model Data; Ocean Currents; Sea Surface; Tidal Models; Tides", "locations": "Antarctica; Sea Surface", "north": -40.231, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "persons": "Howard, Susan L.; Padman, Laurence; Erofeeva, Svetlana", "project_titles": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE); Ocean Tides around Antarctica and in the Southern Ocean", "projects": [{"proj_uid": "p0010116", "repository": "USAP-DC", "title": "Ocean Tides around Antarctica and in the Southern Ocean"}, {"proj_uid": "p0010035", "repository": "USAP-DC", "title": "Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "CATS2008: Circum-Antarctic Tidal Simulation version 2008", "uid": "601235", "west": -180.0}, {"awards": "1745137 Schroeder, Dustin", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Wed, 02 Oct 2019 00:00:00 GMT", "description": "These data accompany the paper \"Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes\" (MacKie et al., in review). This dataset contains 100 geostatistically generated subglacial topographic realizations for Antarctica. Data science techniques were used to calculate the probability of the occurrence of radar-detected lakes and altimetry-detected (active) lakes across the continent, using each topographic realization as a parameter. This generated 100 probability maps of the likelihood of radar-detected lake occurrence and 100 probability maps of active lake occurrence. Further statistics were used to generate 100 binary maps showing expected radar-detected lake locations. The ensemble of realizations can be used for uncertainty quantification.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Active Lakes; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Sheet Model; Model Data; Snow/ice; Snow/Ice; Subglacial Lakes; Topography", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "MacKie, Emma; Schroeder, Dustin; Caers, Jef; Scheidt, Celine; Siegfried, Matthew", "project_titles": "CAREER: Cross-Instrument Synthesis of Antarctic Radar Sounding Observations", "projects": [{"proj_uid": "p0010058", "repository": "USAP-DC", "title": "CAREER: Cross-Instrument Synthesis of Antarctic Radar Sounding Observations"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Antarctic topographic and subglacial lake geostatistical simulations", "uid": "601213", "west": -180.0}, {"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": "1341440 Jin, Meibing", "bounds_geometry": ["POLYGON((-180 -45,-144 -45,-108 -45,-72 -45,-36 -45,0 -45,36 -45,72 -45,108 -45,144 -45,180 -45,180 -49.5,180 -54,180 -58.5,180 -63,180 -67.5,180 -72,180 -76.5,180 -81,180 -85.5,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.5,-180 -81,-180 -76.5,-180 -72,-180 -67.5,-180 -63,-180 -58.5,-180 -54,-180 -49.5,-180 -45))"], "date_created": "Tue, 20 Nov 2018 00:00:00 GMT", "description": "", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Biota; Model Data; Oceans; Southern Ocean", "locations": "Antarctica; Southern Ocean", "north": -45.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Jin, Meibing", "project_titles": "Collaborative Research: Phytoplankton Phenology in the Antarctic: Drivers, Patterns, and Implications for the Adelie Penguin", "projects": [{"proj_uid": "p0000001", "repository": "USAP-DC", "title": "Collaborative Research: Phytoplankton Phenology in the Antarctic: Drivers, Patterns, and Implications for the Adelie Penguin"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Ice-ocean-ecosystem model output", "uid": "601136", "west": -180.0}, {"awards": "1354231 Kowalewski, Douglas", "bounds_geometry": ["POLYGON((-160 -70,-156 -70,-152 -70,-148 -70,-144 -70,-140 -70,-136 -70,-132 -70,-128 -70,-124 -70,-120 -70,-120 -71.5,-120 -73,-120 -74.5,-120 -76,-120 -77.5,-120 -79,-120 -80.5,-120 -82,-120 -83.5,-120 -85,-124 -85,-128 -85,-132 -85,-136 -85,-140 -85,-144 -85,-148 -85,-152 -85,-156 -85,-160 -85,-160 -83.5,-160 -82,-160 -80.5,-160 -79,-160 -77.5,-160 -76,-160 -74.5,-160 -73,-160 -71.5,-160 -70))"], "date_created": "Wed, 01 Jan 2014 00:00:00 GMT", "description": "Intellectual Merit: Neogene sediment records recovered by ANDRILL suggest multiple events of open water conditions and elevated sea surface temperatures at times when terrestrial data from the McMurdo Dry Valleys indicate hyper arid, cold, desert conditions. Interpretation of the ANDRILL data suggests the West Antarctic Ice Sheet is highly sensitive to changes in Pliocene sea surface temperatures and this conclusion has been supported by recent Global Circulation Model results for the early to mid Pliocene. The PIs propose to model paleo-ice configurations and warm orbits associated with a WAIS collapse to assess potential climate change in East Antarctica. During such episodes of polar warmth they propose to answer: What is the limit of ablation along the East Antarctic Ice Sheet?; Are relict landforms in the Dry Valleys susceptible to modification from increase in maximum summertime temperatures?; and Is there sufficient increase in minimum wintertime temperatures to sustain a tundra environment in the Dry Valleys? Integration of depositional records and model outputs have the potential to test the performance of numerical models currently under development as part of ANDRILL; reconcile inconsistencies between marine and terrestrial paleoclimate records in high Southern Latitudes; and improve understanding of Antarctic climate and ice volume sensitivity to forcing for both the East Antarctic and West Antarctic Ice Sheets. Broader impacts: Results from this study have the potential to be used widely by the research community. Outreach to local elementary schools from other funded efforts will continue and be extended to homeschooled students. A Post Doc will be supported as part of this award.\n", "east": -120.0, "geometry": ["POINT(-140 -77.5)"], "keywords": "Antarctica; Atmosphere; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Model Data; Paleoclimate; Transantarctic Mountains", "locations": "Antarctica; Transantarctic Mountains", "north": -70.0, "nsf_funding_programs": null, "persons": "Kowalewski, Douglas", "project_titles": "Validating contrasting terrestrial climate-sensitive Pliocene deposits through high resolution modeling of paleo-environments in the Transantarctic Mountains", "projects": [{"proj_uid": "p0000463", "repository": "USAP-DC", "title": "Validating contrasting terrestrial climate-sensitive Pliocene deposits through high resolution modeling of paleo-environments in the Transantarctic Mountains"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -85.0, "title": "Validating contrasting terrestrial climate-sensitive Pliocene deposits through high resolution modeling of paleo-environments in the Transantarctic Mountains", "uid": "600140", "west": -160.0}, {"awards": "0837988 Steig, Eric", "bounds_geometry": ["POLYGON((-180 -65,-144 -65,-108 -65,-72 -65,-36 -65,0 -65,36 -65,72 -65,108 -65,144 -65,180 -65,180 -67.5,180 -70,180 -72.5,180 -75,180 -77.5,180 -80,180 -82.5,180 -85,180 -87.5,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87.5,-180 -85,-180 -82.5,-180 -80,-180 -77.5,-180 -75,-180 -72.5,-180 -70,-180 -67.5,-180 -65))"], "date_created": "Wed, 13 Mar 2013 00:00:00 GMT", "description": "This data set includes ice core water isotope data from Antarctic ice cores covering the last 200 to 2000 years.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Chemistry:fluid; Chemistry:Fluid; Geochemistry; Glaciers/ice Sheet; Glaciers/Ice Sheet; Ice Core Records; Isotope; Paleoclimate; WAIS Divide", "locations": "Antarctica; WAIS Divide", "north": -65.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Steig, Eric J.", "project_titles": "Collaborative Research: Antarctic Climate Reconstruction Utilizing the US ITASE Ice Core Array (2009- 2012)", "projects": [{"proj_uid": "p0000180", "repository": "USAP-DC", "title": "Collaborative Research: Antarctic Climate Reconstruction Utilizing the US ITASE Ice Core Array (2009- 2012)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "West Antarctica Ice Core and Climate Model Data", "uid": "609536", "west": -180.0}, {"awards": "0538674 Winebrenner, Dale", "bounds_geometry": ["POINT(73.17 -78.47)"], "date_created": "Mon, 15 Aug 2011 00:00:00 GMT", "description": "This data set provides a modeled radar attenuation rate profile, showing the predicted contributions from pure ice and impurities to radar attenuation at the Vostok 5G ice core site in Antarctica, as well as the total attenuation rate and its formal uncertainty. The model data are based on borehole temperature logs, concentrations of major soluble ions measured from melted ice core samples, and information about the electrical conductivity of ice. Attenuation rates and their spatial variability are important constraints for radar studies of ice sheets. Parameters include depth, total attenuation rate, and attenuation rate contribution from pure ice, acidity, and salinity.\n\nData are available via FTP as a text file (.txt) with columns in comma separated value format.", "east": 73.17, "geometry": ["POINT(73.17 -78.47)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Lake Vostok; Radar Attenuation Rate; Vostok Ice Core", "locations": "Lake Vostok; Antarctica", "north": -78.47, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Macgregor, Joseph A.; Matsuoka, Kenichi; Studinger, Michael S.", "project_titles": "Collaborative Research: Deciphering the Deep Ice and the Ice-water Interface over Lake Vostok Using Existing Radar Data", "projects": [{"proj_uid": "p0000090", "repository": "USAP-DC", "title": "Collaborative Research: Deciphering the Deep Ice and the Ice-water Interface over Lake Vostok Using Existing Radar Data"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.47, "title": "Modeled Radar Attenuation Rate Profile at the Vostok 5G Ice Core Site, Antarctica", "uid": "609501", "west": 73.17}, {"awards": "0338151 Raymond, Charles", "bounds_geometry": ["POINT(-112.09 -79.47)"], "date_created": "Tue, 15 Jun 2010 00:00:00 GMT", "description": "This data set contains the results of a model study of spatial variations of ice temperature and subglacial conditions using available ice-penetrating radar data around a future deep ice coring site near the Ross and Amundsen flow divide of West Antarctic Ice Sheet. The model data are based on radar data collected by the Support Office of Aerogeophysical Research (SOAR) at the University of Texas, and the University of Washington, in 2000. The data include values for attenuation estimates for individual radar profiles.\n\nData are available via FTP in MATLAB (.mat) and Portable Document (.pdf) formats.", "east": -112.09, "geometry": ["POINT(-112.09 -79.47)"], "keywords": "Airborne Radar; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Radar; WAIS Divide", "locations": "WAIS Divide; Antarctica", "north": -79.47, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Raymond, Charles; Matsuoka, Kenichi", "project_titles": "Glaciological Characteristics of the Ross/Amundsen Sea Ice-flow Divide Deduced by a New Analysis of Ice-penetrating Radar Data", "projects": [{"proj_uid": "p0000017", "repository": "USAP-DC", "title": "Glaciological Characteristics of the Ross/Amundsen Sea Ice-flow Divide Deduced by a New Analysis of Ice-penetrating Radar Data"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "WAIS Divide Ice Core", "south": -79.47, "title": "Englacial Layers and Attenuation Rates across the Ross and Amundsen Sea Ice-Flow Divide (WAIS Divide), West Antarctica", "uid": "609470", "west": -112.09}]
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Dataset Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Project Links | Abstract | Bounds Geometry | Geometry | Selected | Visible |
---|---|---|---|---|---|---|---|---|---|
Ensemble of subglacial topography beneath Denman Glacier generated by geostatistical Monte Carlo Markov Chain under mass conservation principle
|
2324092 |
2025-04-21 | Shao, Niya; MacKie, Emma; Michael, Field; McCormack, Felicity | No project link provided | This dataset is a result of a study which uses Monte Carlo Markov Chain and geostatistics to infer subglacial topography from sparse bed elevation measurements. The dataset consists of 40 equally probable realizations of subglacial topography in the Denman region. Each of the realizations is constrained by conservation of ice mass (mass conservation), complies with bed elevation measurements from bedmap3 dataset, and has a realistic topographic roughness. The topography has 1 kilometer times 1 kilometer resolution on a regular grid in polar stereographic projection (EPSG 3412). | ["POLYGON((95 -65,96 -65,97 -65,98 -65,99 -65,100 -65,101 -65,102 -65,103 -65,104 -65,105 -65,105 -65.7,105 -66.4,105 -67.1,105 -67.8,105 -68.5,105 -69.2,105 -69.9,105 -70.6,105 -71.3,105 -72,104 -72,103 -72,102 -72,101 -72,100 -72,99 -72,98 -72,97 -72,96 -72,95 -72,95 -71.3,95 -70.6,95 -69.9,95 -69.2,95 -68.5,95 -67.8,95 -67.1,95 -66.4,95 -65.7,95 -65))"] | ["POINT(100 -68.5)"] | false | false |
Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications
|
2136938 |
2024-10-07 | Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; Lütjens, Björn; Tedesco, Marco |
Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning |
This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately. <br/><br/> <br/><br/>The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Modéle Atmosphérique Règional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. <br/><br/>A similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. <br/><br/> <br/><br/> <br/><br/> | ["POLYGON((-40 67.55,-39.611 67.55,-39.222 67.55,-38.833 67.55,-38.444 67.55,-38.055 67.55,-37.666 67.55,-37.277 67.55,-36.888 67.55,-36.499 67.55,-36.11 67.55,-36.11 67.28999999999999,-36.11 67.03,-36.11 66.77,-36.11 66.51,-36.11 66.25,-36.11 65.99,-36.11 65.73,-36.11 65.47,-36.11 65.21000000000001,-36.11 64.95,-36.499 64.95,-36.888 64.95,-37.277 64.95,-37.666 64.95,-38.055 64.95,-38.444 64.95,-38.833 64.95,-39.222 64.95,-39.611 64.95,-40 64.95,-40 65.21000000000001,-40 65.47,-40 65.73,-40 65.99,-40 66.25,-40 66.51,-40 66.77,-40 67.03,-40 67.28999999999999,-40 67.55))"] | ["POINT(-38.055 66.25)"] | false | false |
Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications
|
2136938 |
2024-10-07 | Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; Lütjens, Björn; Tedesco, Marco |
Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning |
This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Lambert azimuthal equal area projection; EPSG 9820) over Larsen C Ice Shelf and surrounding areas in Antarctica. The data is prepared to be used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately. <br/><br/><br/>The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Modéle Atmosphérique Règional (MAR) regional climate model, a static digital elevation model (DEM), and an ice sheet mask. <br/><br/><br/>A similar dataset has been produced for Helheim Glacier, Greenland and is also available through the US Antarctic Program Data Center. | ["POLYGON((-68.5 -65.25,-67.35 -65.25,-66.2 -65.25,-65.05 -65.25,-63.9 -65.25,-62.75 -65.25,-61.6 -65.25,-60.45 -65.25,-59.3 -65.25,-58.15 -65.25,-57 -65.25,-57 -65.652,-57 -66.054,-57 -66.456,-57 -66.858,-57 -67.25999999999999,-57 -67.66199999999999,-57 -68.064,-57 -68.466,-57 -68.868,-57 -69.27,-58.15 -69.27,-59.3 -69.27,-60.45 -69.27,-61.6 -69.27,-62.75 -69.27,-63.9 -69.27,-65.05 -69.27,-66.2 -69.27,-67.35 -69.27,-68.5 -69.27,-68.5 -68.868,-68.5 -68.466,-68.5 -68.064,-68.5 -67.66199999999999,-68.5 -67.25999999999999,-68.5 -66.858,-68.5 -66.456,-68.5 -66.054,-68.5 -65.652,-68.5 -65.25))"] | ["POINT(-62.75 -67.25999999999999)"] | false | false |
Simulated krill trajectory data from Regional Ocean Modeling System simulations 2006-2007 & 2010-2011
|
2138277 |
2024-05-09 | Gallagher, Katherine |
OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula |
This dataset contains simulated krill trajectories from the Regional Ocean Modeling System (ROMS) in NETCDF format. Files include latitude, longitude, and depth of particles released along the West Antarctic Peninsula within the ROMS framework with diel vertical migration behavior added to simulate Antarctic krill behavior. Time frames and diel vertical migration behaviors simulated are included in a .csv file. Data currently cover 4 austral summers: 2006, 2007, 2010, and 2011. Five different vertical migration behaviors were simulated, for a total of 20 simulations. | ["POLYGON((-97.5 -56,-92.2 -56,-86.9 -56,-81.6 -56,-76.3 -56,-71 -56,-65.7 -56,-60.4 -56,-55.1 -56,-49.800000000000004 -56,-44.5 -56,-44.5 -58,-44.5 -60,-44.5 -62,-44.5 -64,-44.5 -66,-44.5 -68,-44.5 -70,-44.5 -72,-44.5 -74,-44.5 -76,-49.8 -76,-55.1 -76,-60.4 -76,-65.7 -76,-71 -76,-76.3 -76,-81.6 -76,-86.9 -76,-92.19999999999999 -76,-97.5 -76,-97.5 -74,-97.5 -72,-97.5 -70,-97.5 -68,-97.5 -66,-97.5 -64,-97.5 -62,-97.5 -60,-97.5 -58,-97.5 -56))"] | ["POINT(-71 -66)"] | false | false |
Current velocity and direction data from Regional Ocean Modeling System simulations (2006-2007 & 2010-2011)
|
2138277 |
2024-05-09 | Gallagher, Katherine |
OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula |
This dataset includes daily-averaged current speed and velocity data from the Regional Ocean Modeling System. Domain covers the West Antarctic Peninsula. Simulations are from the 2006, 2007, 2010, and 2011 seasons. | ["POLYGON((-97.5 -55,-92.05 -55,-86.6 -55,-81.15 -55,-75.7 -55,-70.25 -55,-64.8 -55,-59.35 -55,-53.9 -55,-48.449999999999996 -55,-43 -55,-43 -57.1,-43 -59.2,-43 -61.3,-43 -63.4,-43 -65.5,-43 -67.6,-43 -69.7,-43 -71.8,-43 -73.9,-43 -76,-48.45 -76,-53.9 -76,-59.35 -76,-64.8 -76,-70.25 -76,-75.7 -76,-81.15 -76,-86.6 -76,-92.05000000000001 -76,-97.5 -76,-97.5 -73.9,-97.5 -71.8,-97.5 -69.7,-97.5 -67.6,-97.5 -65.5,-97.5 -63.4,-97.5 -61.3,-97.5 -59.2,-97.5 -57.099999999999994,-97.5 -55))"] | ["POINT(-70.25 -65.5)"] | false | false |
CATS2008_v2023: Circum-Antarctic Tidal Simulation 2008, version 2023
|
1443677 9896041 |
2024-03-27 | Howard, Susan L.; Greene, Chad A.; Padman, Laurence; Erofeeva, Svetlana; Sutterley, Tyler |
Ocean Tides around Antarctica and in the Southern Ocean Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE) |
CATS2008_v2023 is an update of the original CATS2008 tide model (Howard et al., 2019 [https://doi.org/10.15784/601235]; Padman et al., 2002 [https://doi.org/10.3189/172756402781817752]). It introduces a new model file format, increased resolution, more accurate coastlines, and a simple scaling for ice shelf flexure near grounding lines. The changes included in the new CATS2008_v2023 model are: (1) The CATS2008 model has been interpolated to a finer grid (2 km for CATS2008_v2023 vs 4 km for CATS2008) to provide a better representation of coastlines and ice shelf grounding lines. (2) Coastlines have been adjusted to match BedMachine Antarctica v3 (Morlighem et al., 2020 [https://doi.org/10.1038/s41561-019-0510-8]; Morlighem, 2022 [https://doi.org/10.5067/FPSU0V1MWUB6]). Areas that were previously grounded and had no tidal constituent data in CATS2008 have been filled using MATLAB's ‘regionfill’ function, applied to the real and imaginary components of tidal constituents individually. An ocean mask matching BedMachine Antarctica v3 is provided in the model file to mask out grounded areas. (3) Water depth (water column thickness under ice shelves) has been adjusted to match BedMachine Antarctica v3. (4) An ice shelf flexure model has been included for estimating tidal deflections in grounding zones. Flexure is approximated by a forward 1D linear elastic model applied to BedMachine Antarctica v3 ice geometry, with elastic modulus E=4.8 GPa and Poisson's ratio nu=0.4. The ice flexure can be included as an option when using TMD3.0 (Greene et al., 2024 [https://doi.org/10.21105/joss.06018]) and pyTMD (Sutterley, 2024 [https://doi.org/10.5281/zenodo.10501349]) software packages. (5) The model is provided as a consolidated NetCDF file that can be used with TMD3.0 and pyTMD, but not with earlier TMD versions. | ["POLYGON((-180 -40.231,-144 -40.231,-108 -40.231,-72 -40.231,-36 -40.231,0 -40.231,36 -40.231,72 -40.231,108 -40.231,144 -40.231,180 -40.231,180 -45.2079,180 -50.1848,180 -55.161699999999996,180 -60.1386,180 -65.1155,180 -70.0924,180 -75.0693,180 -80.0462,180 -85.0231,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.0231,-180 -80.0462,-180 -75.0693,-180 -70.0924,-180 -65.1155,-180 -60.138600000000004,-180 -55.1617,-180 -50.1848,-180 -45.2079,-180 -40.231))"] | ["POINT(0 -89.999)"] | false | false |
Simulations of ice-shelf rifting on Larsen C Ice Shelf
|
2139002 |
2023-08-24 | Huth, Alexander |
OPP-PRF Calving, Icebergs, and Climate |
This dataset contains a model (Elmer/Ice Fortran modules) to simulate rifting on ice shelves. The model combines the vertically integrated momentum balance and anisotropic continuum damage mechanics formulations. Additionally, it accounts for rift-flank boundary processes, including pressure on rift-flank walls from seawater, contact between flanks, and ice mélange that may also transmit stress between flanks. This dataset also contains the input data (Elmer restart files), input files (Elmer .sifs), and Slurm batch scripts to run five experiments. All experiments aim to simulate the final two years of rift propagation that led to the calving of tabular iceberg A68 from Larsen C ice shelf in 2017. However, each experiment differs in its treatment of rift-flank boundary processes, which affects the rift path. For more information, see the associated publication (Huth et al., 2023). | ["POLYGON((-67 -66,-66.3 -66,-65.6 -66,-64.9 -66,-64.2 -66,-63.5 -66,-62.8 -66,-62.1 -66,-61.4 -66,-60.7 -66,-60 -66,-60 -66.4,-60 -66.8,-60 -67.2,-60 -67.6,-60 -68,-60 -68.4,-60 -68.8,-60 -69.2,-60 -69.6,-60 -70,-60.7 -70,-61.4 -70,-62.1 -70,-62.8 -70,-63.5 -70,-64.2 -70,-64.9 -70,-65.6 -70,-66.3 -70,-67 -70,-67 -69.6,-67 -69.2,-67 -68.8,-67 -68.4,-67 -68,-67 -67.6,-67 -67.2,-67 -66.8,-67 -66.4,-67 -66))"] | ["POINT(-63.5 -68)"] | false | false |
3-km Surface Mass and Energy Budget for the Larsen C Ice Shelf
|
1543445 |
2023-05-03 | Zhang, Jing; Luo, Liping |
Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model |
This dataset includes the 3-km resolution budget terms of surface mass balance (SMB) and surface energy budget (SEB) for the Larsen C Ice Shelf during the melting season of 2017-18. The variables include the SMB budget terms of net surface mass balance, precipitation, runoff, blowing snow erosion, surface sublimation, and blowing snow sublimation, and the SEB budget terms of net surface energy budget, downwelling and upwelling longwave radiation, surface absorbed shortwave radiation, ground heat flux, and sensible / latent heat flux. | ["POLYGON((-70.9 -65,-69.51 -65,-68.12 -65,-66.73 -65,-65.34 -65,-63.95 -65,-62.56 -65,-61.17 -65,-59.78 -65,-58.39 -65,-57 -65,-57 -65.5,-57 -66,-57 -66.5,-57 -67,-57 -67.5,-57 -68,-57 -68.5,-57 -69,-57 -69.5,-57 -70,-58.39 -70,-59.78 -70,-61.17 -70,-62.56 -70,-63.95 -70,-65.34 -70,-66.73 -70,-68.12 -70,-69.51 -70,-70.9 -70,-70.9 -69.5,-70.9 -69,-70.9 -68.5,-70.9 -68,-70.9 -67.5,-70.9 -67,-70.9 -66.5,-70.9 -66,-70.9 -65.5,-70.9 -65))"] | ["POINT(-63.95 -67.5)"] | false | false |
Current velocity and direction data from Regional Ocean Modeling System simulations (2008-2009 & 2018-2019)
|
2138277 |
2023-01-13 | Gallagher, Katherine |
OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula |
This dataset includes daily-averaged current speed and velocity data from the Regional Ocean Modeling System. Domain covers the West Antarctic Peninsula. Simulations are from the 2008, 2009, 2018, and 2019 seasons. | ["POLYGON((-97.5 -55,-92.05 -55,-86.6 -55,-81.15 -55,-75.7 -55,-70.25 -55,-64.8 -55,-59.35 -55,-53.9 -55,-48.449999999999996 -55,-43 -55,-43 -57.1,-43 -59.2,-43 -61.3,-43 -63.4,-43 -65.5,-43 -67.6,-43 -69.7,-43 -71.8,-43 -73.9,-43 -76,-48.45 -76,-53.9 -76,-59.35 -76,-64.8 -76,-70.25 -76,-75.7 -76,-81.15 -76,-86.6 -76,-92.05000000000001 -76,-97.5 -76,-97.5 -73.9,-97.5 -71.8,-97.5 -69.7,-97.5 -67.6,-97.5 -65.5,-97.5 -63.4,-97.5 -61.3,-97.5 -59.2,-97.5 -57.099999999999994,-97.5 -55))"] | ["POINT(-70.25 -65.5)"] | false | false |
Simulated krill trajectory data from Regional Ocean Modeling System simulations 2008-2009 & 2018-2019
|
2138277 |
2023-01-13 | Gallagher, Katherine |
OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula |
This dataset contains simulated krill trajectories from the Regional Ocean Modeling System (ROMS) in NETCDF format. Files include latitude, longitude, and depth of particles released along the West Antarctic Peninsula within the ROMS framework with diel vertical migration behavior added to simulate Antarctic krill behavior. Time frames and diel vertical migration behaviors simulated are included in a .csv file. Data currently cover 4 austral summers: 2008, 2009, 2018, and 2019. Five different vertical migration behaviors were simulated, for a total of 20 simulations. | ["POLYGON((-97.5 -56,-92.2 -56,-86.9 -56,-81.6 -56,-76.3 -56,-71 -56,-65.7 -56,-60.4 -56,-55.1 -56,-49.800000000000004 -56,-44.5 -56,-44.5 -58,-44.5 -60,-44.5 -62,-44.5 -64,-44.5 -66,-44.5 -68,-44.5 -70,-44.5 -72,-44.5 -74,-44.5 -76,-49.8 -76,-55.1 -76,-60.4 -76,-65.7 -76,-71 -76,-76.3 -76,-81.6 -76,-86.9 -76,-92.19999999999999 -76,-97.5 -76,-97.5 -74,-97.5 -72,-97.5 -70,-97.5 -68,-97.5 -66,-97.5 -64,-97.5 -62,-97.5 -60,-97.5 -58,-97.5 -56))"] | ["POINT(-71 -66)"] | 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 |
Whillans and Mercer Shear Margin Ice Flow simulation in ISSM
|
1842021 |
2020-12-12 | Kaluzienski, Lynn |
RAPID Proposal: Constraining kinematics of the Whillans/Mercer Ice Stream Confluence |
The dataset includes initialization and output files of a numerical ice flow simulation of the Whillans and Mercer Ice Streams . The Ice Sheet System Model (ISSM) model was used to solve a 100-year transient stress balance solution of the region with ~10 kPA/yr friction increase downstream of the shear margin between the Whillans and Mercer ice streams. | ["POLYGON((-168 -82,-162.3 -82,-156.6 -82,-150.9 -82,-145.2 -82,-139.5 -82,-133.8 -82,-128.1 -82,-122.4 -82,-116.7 -82,-111 -82,-111 -82.6,-111 -83.2,-111 -83.8,-111 -84.4,-111 -85,-111 -85.6,-111 -86.2,-111 -86.8,-111 -87.4,-111 -88,-116.7 -88,-122.4 -88,-128.1 -88,-133.8 -88,-139.5 -88,-145.2 -88,-150.9 -88,-156.6 -88,-162.3 -88,-168 -88,-168 -87.4,-168 -86.8,-168 -86.2,-168 -85.6,-168 -85,-168 -84.4,-168 -83.8,-168 -83.2,-168 -82.6,-168 -82))"] | ["POINT(-139.5 -85)"] | 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 |
Earthquake Sequence Dynamics at the Interface Between an Elastic Layer and Underlying Half-Space in Antiplane Shear
|
1542885 1656518 |
2020-05-11 | Abrahams, Lauren |
Collaborative Research: Characterizing Brittle Failure and Fracture Propagation in Fast Ice Sliding with Dynamic Rupture Models based on Whillans Ice Stream Seismic/Geodetic Data |
We quantify sliding stability and rupture styles for a horizontal interface between an elastic layer and stiffer elastic half-space with a free surface on top and rate-and-state friction on the interface. Specific motivation (and model parameters) comes from quasi-periodic slow slip events on the Whillans Ice Plain in West Antarctica. We quantify the influence of layer thickness on sliding stability, specifically whether steady loading of the system produces steady sliding or sequences of stick-slip events. This dataset contains input files from different parts of parameter space to demonstrate different styles of slip (steady sliding, slow slip sequences, and fast slip sequences). | [] | [] | false | false |
CATS2008: Circum-Antarctic Tidal Simulation version 2008
|
9896041 1443677 |
2019-12-19 | Howard, Susan L.; Padman, Laurence; Erofeeva, Svetlana |
Ocean Tides around Antarctica and in the Southern Ocean Collaborative Research: Uncovering the Ross Ocean and Ice Shelf Environment and Tectonic setting Through Aerogeophysical Surveys and Modeling (ROSETTA-ICE) |
CATS2008 is a regional inverse barotropic tide model for the circum-Antarctic ocean on a 4 km grid. The model domain includes ocean cavities under the floating ice shelves. The coastline is based on the MODIS MOA [Scambos et al., 2007; Remote Sensing of Environment] feature identification files, adjusted to match ICESat-derived grounding lines for the Ross and Filchner-Ronne ice shelves and Interferometric Synthetic Aperture Radar (InSAR) grounding lines. The water depth map for open water is based on the 2007 release update to Smith and Sandwell [1997; Science]. Adjustments to this map have been made in various regions, including the open continental shelf in front of the Larsen-C Ice Shelf which has been blended with GEBCO bathymetry. Model type: Tides only; Inverse (data assimilation); barotropic (no vertical variation of currents). Grid: 4-km uniform polar stereographic (centered at 71 degrees S, 70 degrees W) Constituents: M2, S2, N2, K2, K1, O1, P1, Q1, Mf, Mm. Units: z (sea surface height; meters); u,v (currents; cm/s); U,V (transports; m2/s). Coordinates: Currents (u, v) and depth-integrated transports (U, V) are given as East (u, U) and North (v, V) components. Citation: "… an update to the inverse model described by Padman et al. [2002]." See CATS2008_README.pdf for further details. | ["POLYGON((-180 -40.231,-144 -40.231,-108 -40.231,-72 -40.231,-36 -40.231,0 -40.231,36 -40.231,72 -40.231,108 -40.231,144 -40.231,180 -40.231,180 -45.2079,180 -50.1848,180 -55.1617,180 -60.1386,180 -65.1155,180 -70.0924,180 -75.0693,180 -80.0462,180 -85.0231,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.0231,-180 -80.0462,-180 -75.0693,-180 -70.0924,-180 -65.1155,-180 -60.1386,-180 -55.1617,-180 -50.1848,-180 -45.2079,-180 -40.231))"] | ["POINT(0 -89.999)"] | false | false |
Antarctic topographic and subglacial lake geostatistical simulations
|
1745137 |
2019-10-02 | MacKie, Emma; Schroeder, Dustin; Caers, Jef; Scheidt, Celine; Siegfried, Matthew |
CAREER: Cross-Instrument Synthesis of Antarctic Radar Sounding Observations |
These data accompany the paper "Antarctic Topographic Realizations and Geostatistical Modeling Used to Map Subglacial Lakes" (MacKie et al., in review). This dataset contains 100 geostatistically generated subglacial topographic realizations for Antarctica. Data science techniques were used to calculate the probability of the occurrence of radar-detected lakes and altimetry-detected (active) lakes across the continent, using each topographic realization as a parameter. This generated 100 probability maps of the likelihood of radar-detected lake occurrence and 100 probability maps of active lake occurrence. Further statistics were used to generate 100 binary maps showing expected radar-detected lake locations. The ensemble of realizations can be used for uncertainty quantification. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Antarctic Ice 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 |
Ice-ocean-ecosystem model output
|
1341440 |
2018-11-20 | Jin, Meibing |
Collaborative Research: Phytoplankton Phenology in the Antarctic: Drivers, Patterns, and Implications for the Adelie Penguin |
["POLYGON((-180 -45,-144 -45,-108 -45,-72 -45,-36 -45,0 -45,36 -45,72 -45,108 -45,144 -45,180 -45,180 -49.5,180 -54,180 -58.5,180 -63,180 -67.5,180 -72,180 -76.5,180 -81,180 -85.5,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.5,-180 -81,-180 -76.5,-180 -72,-180 -67.5,-180 -63,-180 -58.5,-180 -54,-180 -49.5,-180 -45))"] | ["POINT(0 -89.999)"] | false | false | |
Validating contrasting terrestrial climate-sensitive Pliocene deposits through high resolution modeling of paleo-environments in the Transantarctic Mountains
|
1354231 |
2014-01-01 | Kowalewski, Douglas |
Validating contrasting terrestrial climate-sensitive Pliocene deposits through high resolution modeling of paleo-environments in the Transantarctic Mountains |
Intellectual Merit: Neogene sediment records recovered by ANDRILL suggest multiple events of open water conditions and elevated sea surface temperatures at times when terrestrial data from the McMurdo Dry Valleys indicate hyper arid, cold, desert conditions. Interpretation of the ANDRILL data suggests the West Antarctic Ice Sheet is highly sensitive to changes in Pliocene sea surface temperatures and this conclusion has been supported by recent Global Circulation Model results for the early to mid Pliocene. The PIs propose to model paleo-ice configurations and warm orbits associated with a WAIS collapse to assess potential climate change in East Antarctica. During such episodes of polar warmth they propose to answer: What is the limit of ablation along the East Antarctic Ice Sheet?; Are relict landforms in the Dry Valleys susceptible to modification from increase in maximum summertime temperatures?; and Is there sufficient increase in minimum wintertime temperatures to sustain a tundra environment in the Dry Valleys? Integration of depositional records and model outputs have the potential to test the performance of numerical models currently under development as part of ANDRILL; reconcile inconsistencies between marine and terrestrial paleoclimate records in high Southern Latitudes; and improve understanding of Antarctic climate and ice volume sensitivity to forcing for both the East Antarctic and West Antarctic Ice Sheets. Broader impacts: Results from this study have the potential to be used widely by the research community. Outreach to local elementary schools from other funded efforts will continue and be extended to homeschooled students. A Post Doc will be supported as part of this award. | ["POLYGON((-160 -70,-156 -70,-152 -70,-148 -70,-144 -70,-140 -70,-136 -70,-132 -70,-128 -70,-124 -70,-120 -70,-120 -71.5,-120 -73,-120 -74.5,-120 -76,-120 -77.5,-120 -79,-120 -80.5,-120 -82,-120 -83.5,-120 -85,-124 -85,-128 -85,-132 -85,-136 -85,-140 -85,-144 -85,-148 -85,-152 -85,-156 -85,-160 -85,-160 -83.5,-160 -82,-160 -80.5,-160 -79,-160 -77.5,-160 -76,-160 -74.5,-160 -73,-160 -71.5,-160 -70))"] | ["POINT(-140 -77.5)"] | false | false |
West Antarctica Ice Core and Climate Model Data
|
0837988 |
2013-03-13 | Steig, Eric J. |
Collaborative Research: Antarctic Climate Reconstruction Utilizing the US ITASE Ice Core Array (2009- 2012) |
This data set includes ice core water isotope data from Antarctic ice cores covering the last 200 to 2000 years. | ["POLYGON((-180 -65,-144 -65,-108 -65,-72 -65,-36 -65,0 -65,36 -65,72 -65,108 -65,144 -65,180 -65,180 -67.5,180 -70,180 -72.5,180 -75,180 -77.5,180 -80,180 -82.5,180 -85,180 -87.5,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87.5,-180 -85,-180 -82.5,-180 -80,-180 -77.5,-180 -75,-180 -72.5,-180 -70,-180 -67.5,-180 -65))"] | ["POINT(0 -89.999)"] | false | false |
Modeled Radar Attenuation Rate Profile at the Vostok 5G Ice Core Site, Antarctica
|
0538674 |
2011-08-15 | Macgregor, Joseph A.; Matsuoka, Kenichi; Studinger, Michael S. |
Collaborative Research: Deciphering the Deep Ice and the Ice-water Interface over Lake Vostok Using Existing Radar Data |
This data set provides a modeled radar attenuation rate profile, showing the predicted contributions from pure ice and impurities to radar attenuation at the Vostok 5G ice core site in Antarctica, as well as the total attenuation rate and its formal uncertainty. The model data are based on borehole temperature logs, concentrations of major soluble ions measured from melted ice core samples, and information about the electrical conductivity of ice. Attenuation rates and their spatial variability are important constraints for radar studies of ice sheets. Parameters include depth, total attenuation rate, and attenuation rate contribution from pure ice, acidity, and salinity. Data are available via FTP as a text file (.txt) with columns in comma separated value format. | ["POINT(73.17 -78.47)"] | ["POINT(73.17 -78.47)"] | false | false |
Englacial Layers and Attenuation Rates across the Ross and Amundsen Sea Ice-Flow Divide (WAIS Divide), West Antarctica
|
0338151 |
2010-06-15 | Raymond, Charles; Matsuoka, Kenichi |
Glaciological Characteristics of the Ross/Amundsen Sea Ice-flow Divide Deduced by a New Analysis of Ice-penetrating Radar Data |
This data set contains the results of a model study of spatial variations of ice temperature and subglacial conditions using available ice-penetrating radar data around a future deep ice coring site near the Ross and Amundsen flow divide of West Antarctic Ice Sheet. The model data are based on radar data collected by the Support Office of Aerogeophysical Research (SOAR) at the University of Texas, and the University of Washington, in 2000. The data include values for attenuation estimates for individual radar profiles. Data are available via FTP in MATLAB (.mat) and Portable Document (.pdf) formats. | ["POINT(-112.09 -79.47)"] | ["POINT(-112.09 -79.47)"] | false | false |