{"dp_type": "Dataset", "free_text": "Water Content"}
[{"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": "1643120 Iverson, Neal", "bounds_geometry": null, "date_created": "Mon, 16 Sep 2024 00:00:00 GMT", "description": "Accurately modeling the deformation of temperate glacier ice, which is at its pressure-melting temperature and contains liquid water at grain boundaries, is essential for predicting ice sheet discharge to the ocean and associated sea-level rise. Central to such modeling is Glen\u2019s flow law, in which strain rate depends on stress raised to a power of n=3-4. In sharp contrast to this nonlinearity, we find by conducting large-scale, shear-deformation experiments to tertiary creep that temperate ice is linear-viscous (n\u22481.0) over common ranges of liquid water content and stress expected near glacier beds and in ice stream margins. This linearity is likely caused by diffusive pressure-melting and refreezing at grain boundaries and could help stabilize modeled responses of ice sheets to shrinkage-induced stress increases.", "east": null, "geometry": null, "keywords": "Antarctica; Cryosphere", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Iverson, Neal", "project_titles": "NSFGEO-NERC: Collaborative Research: Two-Phase Dynamics of Temperate Ice", "projects": [{"proj_uid": "p0010197", "repository": "USAP-DC", "title": "NSFGEO-NERC: Collaborative Research: Two-Phase Dynamics of Temperate Ice"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Tertiary creep rates of temperate ice containing greater than 0.7% liquid water", "uid": "601833", "west": null}, {"awards": "2129252 Iverson, Neal", "bounds_geometry": null, "date_created": "Fri, 14 Jun 2024 00:00:00 GMT", "description": "This dataset contains parameters and results of laboratory experiments in which the permeability of temperate ice was measured for foliated ice disks collected from Athabasca Glacier. Data are in Data are in Microsoft Excel and .txt file formats. Further inquiries can be directed to the corresponding author, Jacob R. Fowler. Email: jrfowler@sas.upenn.edu.", "east": null, "geometry": null, "keywords": "Antarctica; Cryosphere; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Stream; Lab Experiment; Rheology; Snow/ice; Snow/Ice; Water Content", "locations": "Antarctica; Antarctica", "north": null, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Iverson, Neal; Fowler, Jacob", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": null, "title": "Permeability anisotropy of foliated glacier ice", "uid": "601801", "west": null}, {"awards": "2129252 Iverson, Neal", "bounds_geometry": null, "date_created": "Fri, 14 Jun 2024 00:00:00 GMT", "description": "This dataset contains parameters and results of laboratory experiments in which the permeability of temperate ice was measured as a function of water content and grain size. Further inquiries can be directed to the corresponding author, Jacob R. Fowler. Email: jrfowler@iastate.edu.", "east": null, "geometry": null, "keywords": "Antarctica; Cryosphere; Glaciology; Ice Stream; Lab Experiment; Rheology; Water Content", "locations": "Antarctica; Antarctica; Antarctica", "north": null, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Iverson, Neal; Fowler, Jacob", "project_titles": null, "projects": null, "repositories": null, "science_programs": null, "south": null, "title": "Relationship Between the Permeability and Liquid Water Content of Polycrystalline Temperate Ice", "uid": "601802", "west": null}, {"awards": "1847067 Levy, Joseph", "bounds_geometry": ["POLYGON((160.6263 -77.575,160.91780999999997 -77.575,161.20932 -77.575,161.50083 -77.575,161.79234 -77.575,162.08384999999998 -77.575,162.37536 -77.575,162.66687000000002 -77.575,162.95838 -77.575,163.24989 -77.575,163.5414 -77.575,163.5414 -77.6003,163.5414 -77.6256,163.5414 -77.65090000000001,163.5414 -77.67620000000001,163.5414 -77.70150000000001,163.5414 -77.7268,163.5414 -77.7521,163.5414 -77.7774,163.5414 -77.8027,163.5414 -77.828,163.24989 -77.828,162.95838 -77.828,162.66687000000002 -77.828,162.37536 -77.828,162.08384999999998 -77.828,161.79234 -77.828,161.50083 -77.828,161.20932 -77.828,160.91780999999997 -77.828,160.6263 -77.828,160.6263 -77.8027,160.6263 -77.7774,160.6263 -77.7521,160.6263 -77.7268,160.6263 -77.70150000000001,160.6263 -77.67620000000001,160.6263 -77.65090000000001,160.6263 -77.6256,160.6263 -77.6003,160.6263 -77.575))"], "date_created": "Mon, 01 May 2023 00:00:00 GMT", "description": "This dataset contains soil properties data from the McMurdo Dry Valleys, focused on the properties of water tracks and adjacent dry soils. The dataset is surface and near-surface soil sample data, including sample location, water content by weight, organic matter content by weight, soluble salt extract composition by ion, and cation exchange extract concentrations from the soils. ", "east": 163.5414, "geometry": ["POINT(162.08384999999998 -77.70150000000001)"], "keywords": "Antarctica; Cation Exchange; Chemistry:soil; Chemistry:Soil; Dry Valleys; Organic Matter; Salt; Soil", "locations": "Dry Valleys; Antarctica", "north": -77.575, "nsf_funding_programs": "Antarctic Earth Sciences", "persons": "Levy, Joseph", "project_titles": "Linking Antarctic Cold Desert Groundwater to Thermokarst \u0026 Chemical Weathering in Partnership with the Geoscience UAV Academy", "projects": [{"proj_uid": "p0010286", "repository": "USAP-DC", "title": "Linking Antarctic Cold Desert Groundwater to Thermokarst \u0026 Chemical Weathering in Partnership with the Geoscience UAV Academy"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.828, "title": "Biogeochemical measurements of water tracks and adjacent dry soils from the McMurdo Dry Valleys", "uid": "601684", "west": 160.6263}, {"awards": "1543537 Priscu, John", "bounds_geometry": ["POINT(-149.50134 -84.640287)"], "date_created": "Wed, 01 Feb 2023 00:00:00 GMT", "description": "This dataset contains bulk sediment properties measurements from cores collected from Mercer Subglacial Lake by the SALSA project. Included are: physical properties (bulk density, mass water content, porosity, shear strength, particle size distribution, and mineralogy); carbon (inorganic and organic); iron (ascorbate- and dithionite-extractable); and sulfur (acid-volatile and chromium-reducible).", "east": -149.50134, "geometry": ["POINT(-149.50134 -84.640287)"], "keywords": "Antarctica; Carbon; Glacier; Glaciers/ice Sheet; Glaciers/Ice Sheet; Iron; Mercer Subglacial Lake; Mineralogy; Particle Size; Physical Properties; SALSA; Sediment Core; Sulfur; West Antarctic Ice Sheet", "locations": "West Antarctic Ice Sheet; Antarctica; Mercer Subglacial Lake; Mercer Subglacial Lake", "north": -84.640287, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Dore, John; Campbell, Timothy; Michaud, Alexander; Hawkings, Jon; Skidmore, Mark; Tranter, Martyn; Venturelli, Ryan A; Science Team, SALSA", "project_titles": "Collaborative Research: Subglacial Antarctic Lakes Scientific Access (SALSA): Integrated Study of Carbon Cycling in Hydrologically-active Subglacial Environments", "projects": [{"proj_uid": "p0010119", "repository": "USAP-DC", "title": "Collaborative Research: Subglacial Antarctic Lakes Scientific Access (SALSA): Integrated Study of Carbon Cycling in Hydrologically-active Subglacial Environments"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -84.640287, "title": "Discrete bulk sediment properties data from Mercer Subglacial Lake", "uid": "601661", "west": -149.50134}, {"awards": "1738942 Wellner, Julia", "bounds_geometry": ["POLYGON((-107.38 -74.64,-107.065 -74.64,-106.75 -74.64,-106.435 -74.64,-106.12 -74.64,-105.805 -74.64,-105.49 -74.64,-105.175 -74.64,-104.86 -74.64,-104.545 -74.64,-104.23 -74.64,-104.23 -74.683,-104.23 -74.726,-104.23 -74.769,-104.23 -74.812,-104.23 -74.855,-104.23 -74.898,-104.23 -74.941,-104.23 -74.984,-104.23 -75.027,-104.23 -75.07,-104.545 -75.07,-104.86 -75.07,-105.175 -75.07,-105.49 -75.07,-105.805 -75.07,-106.12 -75.07,-106.435 -75.07,-106.75 -75.07,-107.065 -75.07,-107.38 -75.07,-107.38 -75.027,-107.38 -74.984,-107.38 -74.941,-107.38 -74.898,-107.38 -74.855,-107.38 -74.812,-107.38 -74.769,-107.38 -74.726,-107.38 -74.683,-107.38 -74.64))"], "date_created": "Thu, 27 Jan 2022 00:00:00 GMT", "description": "This dataset contains measurements from grain-size, x-ray fluorescence (XRF), and physical properties (including magnetic susceptibility, water content, and shear strength) analyses of five sediment cores collected offshore Thwaites Glacier during cruises NBP19-02 (cores KC04, KC08, and KC23) and NBP20-02 (cores KC33 and KC67). We estimate the cores, which are between 213.5 and 297.5 cm in length, reflect deposition during the last ~10 kyr, consistent with published constraints of deglaciation of this region. Data are organized in Microsoft Excel spreadsheets and core locations are provided in a PDF.", "east": -104.23, "geometry": ["POINT(-105.805 -74.855)"], "keywords": "Antarctica; Chemistry:sediment; Chemistry:Sediment; Glaciomarine Sediment; Grain Size; Magnetic Susceptibility; Marine Geoscience; Marine Sediments; NBP1902; NBP2002; Physical Properties; R/v Nathaniel B. Palmer; Sediment Core Data; Thwaites Glacier; Trace Elements; XRF", "locations": "Antarctica; Thwaites Glacier", "north": -74.64, "nsf_funding_programs": "Antarctic Earth Sciences", "persons": "Lepp, Allison", "project_titles": "NSF-NERC: THwaites Offshore Research (THOR)", "projects": [{"proj_uid": "p0010062", "repository": "USAP-DC", "title": "NSF-NERC: THwaites Offshore Research (THOR)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "Thwaites (ITGC)", "south": -75.07, "title": "Physical and geochemical data from five sediment cores collected offshore Thwaites Glacier", "uid": "601514", "west": -107.38}, {"awards": "1643120 Iverson, Neal", "bounds_geometry": null, "date_created": "Thu, 01 Jul 2021 00:00:00 GMT", "description": "This dataset contains parameters and results of laboratory experiments in which temperate ice with various water contents was sheared at controlled rates.", "east": null, "geometry": null, "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Stream; Lab Experiment; Rheology; Snow/ice; Snow/Ice; Water Content", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Iverson, Neal", "project_titles": "NSFGEO-NERC: Collaborative Research: Two-Phase Dynamics of Temperate Ice", "projects": [{"proj_uid": "p0010197", "repository": "USAP-DC", "title": "NSFGEO-NERC: Collaborative Research: Two-Phase Dynamics of Temperate Ice"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Softening of temperate ice by interstitial water", "uid": "601460", "west": null}]
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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 |
Tertiary creep rates of temperate ice containing greater than 0.7% liquid water
|
1643120 |
2024-09-16 | Iverson, Neal |
NSFGEO-NERC: Collaborative Research: Two-Phase Dynamics of Temperate Ice |
Accurately modeling the deformation of temperate glacier ice, which is at its pressure-melting temperature and contains liquid water at grain boundaries, is essential for predicting ice sheet discharge to the ocean and associated sea-level rise. Central to such modeling is Glen’s flow law, in which strain rate depends on stress raised to a power of n=3-4. In sharp contrast to this nonlinearity, we find by conducting large-scale, shear-deformation experiments to tertiary creep that temperate ice is linear-viscous (n≈1.0) over common ranges of liquid water content and stress expected near glacier beds and in ice stream margins. This linearity is likely caused by diffusive pressure-melting and refreezing at grain boundaries and could help stabilize modeled responses of ice sheets to shrinkage-induced stress increases. | [] | [] | false | false |
Permeability anisotropy of foliated glacier ice
|
2129252 |
2024-06-14 | Iverson, Neal; Fowler, Jacob | No project link provided | This dataset contains parameters and results of laboratory experiments in which the permeability of temperate ice was measured for foliated ice disks collected from Athabasca Glacier. Data are in Data are in Microsoft Excel and .txt file formats. Further inquiries can be directed to the corresponding author, Jacob R. Fowler. Email: jrfowler@sas.upenn.edu. | [] | [] | false | false |
Relationship Between the Permeability and Liquid Water Content of Polycrystalline Temperate Ice
|
2129252 |
2024-06-14 | Iverson, Neal; Fowler, Jacob | No project link provided | This dataset contains parameters and results of laboratory experiments in which the permeability of temperate ice was measured as a function of water content and grain size. Further inquiries can be directed to the corresponding author, Jacob R. Fowler. Email: jrfowler@iastate.edu. | [] | [] | false | false |
Biogeochemical measurements of water tracks and adjacent dry soils from the McMurdo Dry Valleys
|
1847067 |
2023-05-01 | Levy, Joseph |
Linking Antarctic Cold Desert Groundwater to Thermokarst & Chemical Weathering in Partnership with the Geoscience UAV Academy |
This dataset contains soil properties data from the McMurdo Dry Valleys, focused on the properties of water tracks and adjacent dry soils. The dataset is surface and near-surface soil sample data, including sample location, water content by weight, organic matter content by weight, soluble salt extract composition by ion, and cation exchange extract concentrations from the soils. | ["POLYGON((160.6263 -77.575,160.91780999999997 -77.575,161.20932 -77.575,161.50083 -77.575,161.79234 -77.575,162.08384999999998 -77.575,162.37536 -77.575,162.66687000000002 -77.575,162.95838 -77.575,163.24989 -77.575,163.5414 -77.575,163.5414 -77.6003,163.5414 -77.6256,163.5414 -77.65090000000001,163.5414 -77.67620000000001,163.5414 -77.70150000000001,163.5414 -77.7268,163.5414 -77.7521,163.5414 -77.7774,163.5414 -77.8027,163.5414 -77.828,163.24989 -77.828,162.95838 -77.828,162.66687000000002 -77.828,162.37536 -77.828,162.08384999999998 -77.828,161.79234 -77.828,161.50083 -77.828,161.20932 -77.828,160.91780999999997 -77.828,160.6263 -77.828,160.6263 -77.8027,160.6263 -77.7774,160.6263 -77.7521,160.6263 -77.7268,160.6263 -77.70150000000001,160.6263 -77.67620000000001,160.6263 -77.65090000000001,160.6263 -77.6256,160.6263 -77.6003,160.6263 -77.575))"] | ["POINT(162.08384999999998 -77.70150000000001)"] | false | false |
Discrete bulk sediment properties data from Mercer Subglacial Lake
|
1543537 |
2023-02-01 | Dore, John; Campbell, Timothy; Michaud, Alexander; Hawkings, Jon; Skidmore, Mark; Tranter, Martyn; Venturelli, Ryan A; Science Team, SALSA |
Collaborative Research: Subglacial Antarctic Lakes Scientific Access (SALSA): Integrated Study of Carbon Cycling in Hydrologically-active Subglacial Environments |
This dataset contains bulk sediment properties measurements from cores collected from Mercer Subglacial Lake by the SALSA project. Included are: physical properties (bulk density, mass water content, porosity, shear strength, particle size distribution, and mineralogy); carbon (inorganic and organic); iron (ascorbate- and dithionite-extractable); and sulfur (acid-volatile and chromium-reducible). | ["POINT(-149.50134 -84.640287)"] | ["POINT(-149.50134 -84.640287)"] | false | false |
Physical and geochemical data from five sediment cores collected offshore Thwaites Glacier
|
1738942 |
2022-01-27 | Lepp, Allison |
NSF-NERC: THwaites Offshore Research (THOR) |
This dataset contains measurements from grain-size, x-ray fluorescence (XRF), and physical properties (including magnetic susceptibility, water content, and shear strength) analyses of five sediment cores collected offshore Thwaites Glacier during cruises NBP19-02 (cores KC04, KC08, and KC23) and NBP20-02 (cores KC33 and KC67). We estimate the cores, which are between 213.5 and 297.5 cm in length, reflect deposition during the last ~10 kyr, consistent with published constraints of deglaciation of this region. Data are organized in Microsoft Excel spreadsheets and core locations are provided in a PDF. | ["POLYGON((-107.38 -74.64,-107.065 -74.64,-106.75 -74.64,-106.435 -74.64,-106.12 -74.64,-105.805 -74.64,-105.49 -74.64,-105.175 -74.64,-104.86 -74.64,-104.545 -74.64,-104.23 -74.64,-104.23 -74.683,-104.23 -74.726,-104.23 -74.769,-104.23 -74.812,-104.23 -74.855,-104.23 -74.898,-104.23 -74.941,-104.23 -74.984,-104.23 -75.027,-104.23 -75.07,-104.545 -75.07,-104.86 -75.07,-105.175 -75.07,-105.49 -75.07,-105.805 -75.07,-106.12 -75.07,-106.435 -75.07,-106.75 -75.07,-107.065 -75.07,-107.38 -75.07,-107.38 -75.027,-107.38 -74.984,-107.38 -74.941,-107.38 -74.898,-107.38 -74.855,-107.38 -74.812,-107.38 -74.769,-107.38 -74.726,-107.38 -74.683,-107.38 -74.64))"] | ["POINT(-105.805 -74.855)"] | false | false |
Softening of temperate ice by interstitial water
|
1643120 |
2021-07-01 | Iverson, Neal |
NSFGEO-NERC: Collaborative Research: Two-Phase Dynamics of Temperate Ice |
This dataset contains parameters and results of laboratory experiments in which temperate ice with various water contents was sheared at controlled rates. | [] | [] | false | false |