USAP-DC

{"dp_type": "Dataset", "free_text": "Larsen C Ice Shelf"}

[{"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": "Larsen C Ice Shelf; Antarctica", "north": -65.25, "nsf_funding_programs": "Polar Cyberinfrastructure", "persons": "Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco", "project_titles": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "projects": [{"proj_uid": "p0010277", "repository": "USAP-DC", "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.27, "title": "Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications", "uid": "601842", "west": -68.5}, {"awards": "2136938 Tedesco, Marco", "bounds_geometry": ["POLYGON((-40 67.55,-39.611 67.55,-39.222 67.55,-38.833 67.55,-38.444 67.55,-38.055 67.55,-37.666 67.55,-37.277 67.55,-36.888 67.55,-36.499 67.55,-36.11 67.55,-36.11 67.28999999999999,-36.11 67.03,-36.11 66.77,-36.11 66.51,-36.11 66.25,-36.11 65.99,-36.11 65.73,-36.11 65.47,-36.11 65.21000000000001,-36.11 64.95,-36.499 64.95,-36.888 64.95,-37.277 64.95,-37.666 64.95,-38.055 64.95,-38.444 64.95,-38.833 64.95,-39.222 64.95,-39.611 64.95,-40 64.95,-40 65.21000000000001,-40 65.47,-40 65.73,-40 65.99,-40 66.25,-40 66.51,-40 66.77,-40 67.03,-40 67.28999999999999,-40 67.55))"], "date_created": "Mon, 07 Oct 2024 00:00:00 GMT", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n\u003cbr/\u003e\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": "Antarctica; Greenland; 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": "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": "Antarctica; Larsen C Ice Shelf", "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": "Larsen C Ice Shelf; Antarctica", "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": "0732946 Steffen, Konrad", "bounds_geometry": ["POLYGON((-65 -66,-64.5 -66,-64 -66,-63.5 -66,-63 -66,-62.5 -66,-62 -66,-61.5 -66,-61 -66,-60.5 -66,-60 -66,-60 -66.3,-60 -66.6,-60 -66.9,-60 -67.2,-60 -67.5,-60 -67.8,-60 -68.1,-60 -68.4,-60 -68.7,-60 -69,-60.5 -69,-61 -69,-61.5 -69,-62 -69,-62.5 -69,-63 -69,-63.5 -69,-64 -69,-64.5 -69,-65 -69,-65 -68.7,-65 -68.4,-65 -68.1,-65 -67.8,-65 -67.5,-65 -67.2,-65 -66.9,-65 -66.6,-65 -66.3,-65 -66))"], "date_created": "Wed, 19 May 2021 00:00:00 GMT", "description": "As part of IPY-0732946, three automatic weather stations (Larsen 1, 2, 3) were installed along a latitudinal gradient on the Larsen C ice shelf. The stations were installed in December 2008 (Larsen 3 AWS did not come online until 2009) and operated through the end of the project in November 2011.", "east": -60.0, "geometry": ["POINT(-62.5 -67.5)"], "keywords": "Antarctica; Atmosphere; AWS; Foehn Winds; Ice Shelf; Larsen C Ice Shelf; Larsen Ice Shelf; Meteorology; Weather Station Data", "locations": "Larsen Ice Shelf; Larsen C Ice Shelf; Antarctica", "north": -66.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "McGrath, Daniel; Bayou, Nicolas; Steffen, Konrad", "project_titles": "IPY: Stability of Larsen C Ice Shelf in a Warming Climate", "projects": [{"proj_uid": "p0000087", "repository": "USAP-DC", "title": "IPY: Stability of Larsen C Ice Shelf in a Warming Climate"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.0, "title": "Larsen C automatic weather station data 2008\u20132011", "uid": "601445", "west": -65.0}, {"awards": "1822289 Vernet, Maria", "bounds_geometry": ["POLYGON((-59.402149 -62.131908,-58.9639887 -62.131908,-58.5258284 -62.131908,-58.0876681 -62.131908,-57.6495078 -62.131908,-57.2113475 -62.131908,-56.7731872 -62.131908,-56.3350269 -62.131908,-55.8968666 -62.131908,-55.4587063 -62.131908,-55.020546 -62.131908,-55.020546 -62.384829,-55.020546 -62.63775,-55.020546 -62.890671,-55.020546 -63.143592,-55.020546 -63.396513,-55.020546 -63.649434,-55.020546 -63.902355,-55.020546 -64.155276,-55.020546 -64.408197,-55.020546 -64.661118,-55.4587063 -64.661118,-55.8968666 -64.661118,-56.3350269 -64.661118,-56.7731872 -64.661118,-57.2113475 -64.661118,-57.6495078 -64.661118,-58.0876681 -64.661118,-58.5258284 -64.661118,-58.9639887 -64.661118,-59.402149 -64.661118,-59.402149 -64.408197,-59.402149 -64.155276,-59.402149 -63.902355,-59.402149 -63.649434,-59.402149 -63.396513,-59.402149 -63.143592,-59.402149 -62.890671,-59.402149 -62.63775,-59.402149 -62.384829,-59.402149 -62.131908))"], "date_created": "Mon, 29 Apr 2019 00:00:00 GMT", "description": "Marine ecosystems under large ice shelves are thought to contain sparse, low-diversity plankton and seafloor communities due the low supply of food from productive sunlight waters. Past studies have shown sub-ice shelf ecosystems to change in response to altered oceanographic processes resulting from ice-shelve retreat. However, information on community changes and ecosystem structure under ice shelves are limited because sub-ice-shelf ecosystems have either been sampled many years after ice-shelf breakout, or have been sampled through small boreholes, yielding extremely limited spatial information. The recent breakout of the A-68 iceberg from the Larsen C ice shelf in the western Weddell Sea provides an opportunity to use a ship-based study to evaluate benthic communities and water column characteristics in an area recently vacated by a large overlying ice shelf. The opportunity will allow spatial assessments at the time of transition from an under ice-shelf environment to one initially exposed to conditions more typical of a coastal Antarctic marine setting. \r\n\r\n\r\n\r\nThis RAPID project will help determine the state of a coastal Antarctic ecosystem newly exposed from ice-shelf cover and will aid in understanding of rates of community change during transition. The project will conduct a 10-day field program, allowing contrasts to be made of phytoplankton and seafloor megafaunal communities in areas recently exposed by ice-shelf loss to areas exposed for many decades. The project will be undertaken in a collaborative manner with the South Korean Antarctic Agency, KOPRI, by participating in a cruise in March/May 2018. Combining new information in the area of Larsen C with existing observations after the Larsen A and B ice shelf breakups further to the north, the project is expected to generate a dataset that can elucidate fundamental processes of planktonic and benthic community development in transition from food-poor to food-rich ecosystems. The project will provide field experience to two graduate students, a post-doctoral associate and an undergraduate student. Material from the project will be incorporated into graduate courses and the project will communicate daily work and unfolding events through social media and blogs while they explore this area of the world that is largely underexplored.", "east": -55.020546, "geometry": ["POINT(-57.2113475 -63.396513)"], "keywords": "Antarctica; Biota; Chlorophyll; CTD; Glacier; Iceberg; Ice Shelf; Larsen C Ice Shelf; Oceans; Physical Oceanography; Phytoplankton; Sample Location; Sea Ice; Southern Ocean; Station List", "locations": "Larsen C Ice Shelf; Antarctica; Southern Ocean", "north": -62.131908, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "persons": "Pan, B. Jack; Vernet, Maria", "project_titles": "RAPID: Collaborative Research: Marine Ecosystem Response to the Larsen C Ice-Shelf Breakout: \"Time zero\"", "projects": [{"proj_uid": "p0010029", "repository": "USAP-DC", "title": "RAPID: Collaborative Research: Marine Ecosystem Response to the Larsen C Ice-Shelf Breakout: \"Time zero\""}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -64.661118, "title": "CTD stations and logs for Araon 2018 ANA08D expedition to Larson C", "uid": "601178", "west": -59.402149}, {"awards": "0732946 Steffen, Konrad", "bounds_geometry": ["POLYGON((-66 -66,-65.4 -66,-64.8 -66,-64.2 -66,-63.6 -66,-63 -66,-62.4 -66,-61.8 -66,-61.2 -66,-60.6 -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,-60.6 -70,-61.2 -70,-61.8 -70,-62.4 -70,-63 -70,-63.6 -70,-64.2 -70,-64.8 -70,-65.4 -70,-66 -70,-66 -69.6,-66 -69.2,-66 -68.8,-66 -68.4,-66 -68,-66 -67.6,-66 -67.2,-66 -66.8,-66 -66.4,-66 -66))"], "date_created": "Wed, 13 Sep 2017 00:00:00 GMT", "description": "We produce a reconstruction of surface mass balance (SMB) (in mm w.e. per year) by adjusting the 1979-2014 RACMO2 SMB to the spatial pattern of ground-penetrating radar observations and to observations of SMB from sonic height rangers.", "east": -60.0, "geometry": ["POINT(-63 -68)"], "keywords": "Antarctica; Antarctic Peninsula; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; GPR; Larsen C Ice Shelf; Radar", "locations": "Antarctica; Larsen C Ice Shelf; Antarctic Peninsula", "north": -66.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "McGrath, Daniel; Steffen, Konrad; Kuipers Munneke, Peter", "project_titles": "IPY: Stability of Larsen C Ice Shelf in a Warming Climate", "projects": [{"proj_uid": "p0000087", "repository": "USAP-DC", "title": "IPY: Stability of Larsen C Ice Shelf in a Warming Climate"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -70.0, "title": "Mean surface mass balance over Larsen C ice shelf, Antarctica (1979-2014), assimilated to in situ GPR and snow height data", "uid": "601056", "west": -66.0}]

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