{"dp_type": "Dataset", "free_text": "Ice Surface"}
[{"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": "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; Greenland; Antarctica", "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": "1739003 Holland, David", "bounds_geometry": ["POLYGON((-114.2703 -66.8445,-109.54270000000001 -66.8445,-104.8151 -66.8445,-100.0875 -66.8445,-95.35990000000001 -66.8445,-90.6323 -66.8445,-85.9047 -66.8445,-81.1771 -66.8445,-76.4495 -66.8445,-71.7219 -66.8445,-66.9943 -66.8445,-66.9943 -67.98911,-66.9943 -69.13372,-66.9943 -70.27833,-66.9943 -71.42294,-66.9943 -72.56755,-66.9943 -73.71216,-66.9943 -74.85677,-66.9943 -76.00138,-66.9943 -77.14599,-66.9943 -78.2906,-71.72189999999999 -78.2906,-76.4495 -78.2906,-81.1771 -78.2906,-85.90469999999999 -78.2906,-90.6323 -78.2906,-95.3599 -78.2906,-100.0875 -78.2906,-104.8151 -78.2906,-109.5427 -78.2906,-114.2703 -78.2906,-114.2703 -77.14599,-114.2703 -76.00138,-114.2703 -74.85677,-114.2703 -73.71216,-114.2703 -72.56755,-114.2703 -71.42294,-114.2703 -70.27833,-114.2703 -69.13372,-114.2703 -67.98911,-114.2703 -66.8445))"], "date_created": "Tue, 28 Mar 2023 00:00:00 GMT", "description": "Data products (radar echogram images and ice surface and ice bottom tracking) from the two ITGC MELT Accumulation Radar campaigns at Thwaites Glacier.", "east": -66.9943, "geometry": ["POINT(-90.6323 -72.56755)"], "keywords": "Antarctica; Ice Base; Ice Penetrating Radar; Ice Surface; Radar Echo Sounder; Thwaites Glacier", "locations": "Thwaites Glacier; Antarctica", "north": -66.8445, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Paden, John", "project_titles": null, "projects": null, "repositories": null, "science_programs": "Thwaites (ITGC)", "south": -78.2906, "title": "MELT 2018-2020 Accumulation Radar at Thwaites", "uid": "601678", "west": -114.2703}, {"awards": "9319379 Blankenship, Donald", "bounds_geometry": ["POLYGON((150 -81.9,152.1 -81.9,154.2 -81.9,156.3 -81.9,158.4 -81.9,160.5 -81.9,162.6 -81.9,164.7 -81.9,166.8 -81.9,168.9 -81.9,171 -81.9,171 -82.06,171 -82.22,171 -82.38000000000001,171 -82.54,171 -82.7,171 -82.86,171 -83.02,171 -83.18,171 -83.34,171 -83.5,168.9 -83.5,166.8 -83.5,164.7 -83.5,162.6 -83.5,160.5 -83.5,158.4 -83.5,156.3 -83.5,154.2 -83.5,152.1 -83.5,150 -83.5,150 -83.34,150 -83.18,150 -83.02,150 -82.86,150 -82.7,150 -82.54,150 -82.38000000000001,150 -82.22,150 -82.06,150 -81.9))"], "date_created": "Thu, 01 Sep 2022 00:00:00 GMT", "description": "The RGB survey is a single line flown up Robb Glacier. Laser altimetry, ice-penetrating radar, gravity and magnetic field intensity data were collected. This work was funded by NSF-OPP 9319379 with the project title: Collaborative Research: Contrasting Architecture and Dynamics of the Transantarctic Mountains (Pensacola-Pole Transect). Principal Investigators were D.D. Blankenship, University of Texas Institute for Geophysics, and R.E. Bell and W.R. Buck, Lamont-Doherty Earth Observatory.", "east": 171.0, "geometry": ["POINT(160.5 -82.7)"], "keywords": "Airborne Radar; Antarctica; Bed Elevation; Geophysics; Glaciers/ice Sheet; Glaciers/Ice Sheet; Ice Surface Elevation; Ice Thickness; Robb Glacier; Transantarctic Mountains", "locations": "Antarctica; Transantarctic Mountains; Robb Glacier", "north": -81.9, "nsf_funding_programs": "Antarctic Earth Sciences", "persons": "Blankenship, Donald D.; Bell, Robin; Buck, W. Roger; Young, Duncan A.", "project_titles": "Continuation of Activities for the Support Office for Aerogeophysical Research (SOAR)", "projects": [{"proj_uid": "p0000125", "repository": "USAP-DC", "title": "Continuation of Activities for the Support Office for Aerogeophysical Research (SOAR)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -83.5, "title": "RBG - Robb Glacier Survey", "uid": "601604", "west": 150.0}, {"awards": "9911617 Blankenship, Donald; 9978236 Bell, Robin", "bounds_geometry": ["POLYGON((101.5 -75.5,102.15 -75.5,102.8 -75.5,103.45 -75.5,104.1 -75.5,104.75 -75.5,105.4 -75.5,106.05 -75.5,106.7 -75.5,107.35 -75.5,108 -75.5,108 -75.85,108 -76.2,108 -76.55,108 -76.9,108 -77.25,108 -77.6,108 -77.95,108 -78.3,108 -78.65,108 -79,107.35 -79,106.7 -79,106.05 -79,105.4 -79,104.75 -79,104.1 -79,103.45 -79,102.8 -79,102.15 -79,101.5 -79,101.5 -78.65,101.5 -78.3,101.5 -77.95,101.5 -77.6,101.5 -77.25,101.5 -76.9,101.5 -76.55,101.5 -76.2,101.5 -75.85,101.5 -75.5))"], "date_created": "Tue, 28 Apr 2020 00:00:00 GMT", "description": "Surface Elevation Data acquired during the SOAR Twin Otter expedition SOAR-LVS (2000)\r\nThis data set was during SOAR Twin Otter expedition SOAR-LVS conducted in 2000 (Chief Scientist: Dr. Robin Bell; Investigator(s): Dr. Michael Studinger). These data files are of ASCII format and include Surface Elevation data and were processed after data collection. Data were acquired as part of the project(s): SOAR-Lake Vostok Survey (LVS) and Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work", "east": 108.0, "geometry": ["POINT(104.75 -77.25)"], "keywords": "Airborne Altimetry; Airborne Laser Altimeters; Airborne Radar; Airplane; Antarctica; East Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Sheet; Ice Sheet Elevation; Ice Surface; Lake Vostok; Radar Echo Sounder; SOAR; Surface Elevation", "locations": "Lake Vostok; Antarctica; East Antarctica", "north": -75.5, "nsf_funding_programs": "Antarctic Earth Sciences; Antarctic Earth Sciences", "persons": "Studinger, Michael S.; Bell, Robin", "project_titles": "Continuation of Activities for the Support Office for Aerogeophysical Research (SOAR); Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work\r\n", "projects": [{"proj_uid": "p0010097", "repository": "USAP-DC", "title": "Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work\r\n"}, {"proj_uid": "p0000125", "repository": "USAP-DC", "title": "Continuation of Activities for the Support Office for Aerogeophysical Research (SOAR)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -79.0, "title": "SOAR-Lake Vostok Survey surface elevation data", "uid": "601298", "west": 101.5}, {"awards": "1341725 Guest, Peter", "bounds_geometry": ["POLYGON((-180 -62,-179.5 -62,-179 -62,-178.5 -62,-178 -62,-177.5 -62,-177 -62,-176.5 -62,-176 -62,-175.5 -62,-175 -62,-175 -63.6,-175 -65.2,-175 -66.8,-175 -68.4,-175 -70,-175 -71.6,-175 -73.2,-175 -74.8,-175 -76.4,-175 -78,-175.5 -78,-176 -78,-176.5 -78,-177 -78,-177.5 -78,-178 -78,-178.5 -78,-179 -78,-179.5 -78,180 -78,178.8 -78,177.6 -78,176.4 -78,175.2 -78,174 -78,172.8 -78,171.6 -78,170.4 -78,169.2 -78,168 -78,168 -76.4,168 -74.8,168 -73.2,168 -71.6,168 -70,168 -68.4,168 -66.8,168 -65.2,168 -63.6,168 -62,169.2 -62,170.4 -62,171.6 -62,172.8 -62,174 -62,175.2 -62,176.4 -62,177.6 -62,178.8 -62,-180 -62))"], "date_created": "Wed, 12 Jun 2019 00:00:00 GMT", "description": "This file contains times series data from the 2017 PIPERS cruise for the period 15 April 0000 \u2013 8 June 1200 (UT). The time series data represent one minute means and include data collected by the Naval Postgraduate School from the starboard side boom (including occasionally on ice surface temp sampling), radiation system on the helo deck and sometimes in situ surface temp. Also included are meteorological, navigation and surface oceanography (from intake) data from the standard ship systems. ", "east": -175.0, "geometry": ["POINT(176.5 -70)"], "keywords": "Air Temperature; Antarctica; Atmosphere; Meteorology; Near-Surface Air Temperatures; PIPERS; Radiation; Sea Ice Temperatures; Temperature; Weather Station Data; Wind Direction; Wind Speed", "locations": "Antarctica", "north": -62.0, "nsf_funding_programs": "Antarctic Integrated System Science", "persons": "Guest, Peter", "project_titles": "Collaborative Research: Seasonal Sea Ice Production in the Ross Sea, Antarctica", "projects": [{"proj_uid": "p0010032", "repository": "USAP-DC", "title": "Collaborative Research: Seasonal Sea Ice Production in the Ross Sea, Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "PIPERS Meteorology Time Series", "uid": "601184", "west": 168.0}, {"awards": "0424589 Gogineni, S. Prasad", "bounds_geometry": ["POLYGON((143 -74.2,155.9 -74.2,168.8 -74.2,181.7 -74.2,194.6 -74.2,207.5 -74.2,220.4 -74.2,233.3 -74.2,246.2 -74.2,259.1 -74.2,272 -74.2,272 -75.5,272 -76.8,272 -78.1,272 -79.4,272 -80.7,272 -82,272 -83.3,272 -84.6,272 -85.9,272 -87.2,259.1 -87.2,246.2 -87.2,233.3 -87.2,220.4 -87.2,207.5 -87.2,194.6 -87.2,181.7 -87.2,168.8 -87.2,155.9 -87.2,143 -87.2,143 -85.9,143 -84.6,143 -83.3,143 -82,143 -80.7,143 -79.4,143 -78.1,143 -76.8,143 -75.5,143 -74.2))"], "date_created": "Mon, 28 Aug 2017 00:00:00 GMT", "description": "The MCoRDS data set contains L1B Geolocated Radar Echo Strength Profile Images and L2 Ice Thickness, Ice Surface, and Ice Bottom elevations over Antarctica taken with the CReSIS Radar Depth Sounders (RDS). The L1B data set includes measurements for echograms, time, latitude, longitude, elevation, as well as flight path charts and echogram images.The L2 data set includes measurements for time, latitude, longitude, elevation, surface, bottom, and thickness.", "east": 272.0, "geometry": ["POINT(-152.5 -80.7)"], "keywords": "Airborne Radar; Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; MCoRDS; Navigation; Radar", "locations": "Antarctica", "north": -74.2, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Paden, John; Leuschen, Carl; Rodriguez, Fernando; Li, Jilu; Allen, Chris; Gogineni, Prasad", "project_titles": "Center for Remote Sensing of Ice Sheets (CReSIS)", "projects": [{"proj_uid": "p0000102", "repository": "USAP-DC", "title": "Center for Remote Sensing of Ice Sheets (CReSIS)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -87.2, "title": "Radar Depth Sounder Echograms and Ice Thickness", "uid": "601047", "west": 143.0}, {"awards": "0424589 Gogineni, S. Prasad", "bounds_geometry": ["POLYGON((163.884 -76.567,171.5583 -76.567,179.2326 -76.567,186.9069 -76.567,194.5812 -76.567,202.2555 -76.567,209.9298 -76.567,217.6041 -76.567,225.2784 -76.567,232.9527 -76.567,240.627 -76.567,240.627 -77.3847,240.627 -78.2024,240.627 -79.0201,240.627 -79.8378,240.627 -80.6555,240.627 -81.4732,240.627 -82.2909,240.627 -83.1086,240.627 -83.9263,240.627 -84.744,232.9527 -84.744,225.2784 -84.744,217.6041 -84.744,209.9298 -84.744,202.2555 -84.744,194.5812 -84.744,186.9069 -84.744,179.2326 -84.744,171.5583 -84.744,163.884 -84.744,163.884 -83.9263,163.884 -83.1086,163.884 -82.2909,163.884 -81.4732,163.884 -80.6555,163.884 -79.8378,163.884 -79.0201,163.884 -78.2024,163.884 -77.3847,163.884 -76.567))"], "date_created": "Wed, 28 Dec 2016 00:00:00 GMT", "description": "The Center for Remote Sensing of Ice Sheets (CReSIS) participated in an airborne radar survey using a BT-67 Basler aircraft over the Siple Coast of Antarctica. Five personnel deployed from November 29, 2013 to January 18, 2014 with USAP project# I-189-M. The major objective was to collect fine-resolution radar data with an ultra-wideband MCoRDS4 UHF/VHF radar depth sounder in conjunction with data from two microwave (Ku-band and Snow) radars and a Google Camera. This dataset includes reflection profiles for the three radars and ice surface and ice bottom picks for the radar depth sounder.", "east": 240.627, "geometry": ["POINT(-157.7445 -80.6555)"], "keywords": "Airborne Radar; Antarctica; Basler; Glaciers/ice Sheet; Glaciers/Ice Sheet; Kamb Ice Stream; Radar; Siple Coast; Whillans Ice Stream", "locations": "Kamb Ice Stream; Whillans Ice Stream; Antarctica; Siple Coast", "north": -76.567, "nsf_funding_programs": null, "persons": "Paden, John; Hale, Richard", "project_titles": "Center for Remote Sensing of Ice Sheets (CReSIS)", "projects": [{"proj_uid": "p0000102", "repository": "USAP-DC", "title": "Center for Remote Sensing of Ice Sheets (CReSIS)"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -84.744, "title": "Airborne radar profiles of the Whillans, Bindschadler, and Kamb Ice Streams", "uid": "600384", "west": 163.884}, {"awards": "1043554 Willenbring, Jane", "bounds_geometry": ["POINT(161.5 -77.5)"], "date_created": "Wed, 09 Nov 2016 00:00:00 GMT", "description": "The PIs propose to address the question of whether ice surface melting zones developed at high elevations during warm climatic phases in the Transantarctic Mountains. Evidence from sediment cores drilled by the ANDRILL program indicates that open water in the Ross Sea could have been a source of warmth during Pliocene and Pleistocene. The question is whether marine warmth penetrated inland to the ice sheet margins. The glacial record may be ill suited to answer this question, as cold-based glaciers may respond too slowly to register brief warmth. Questions also surround possible orbital controls on regional climate and ice sheet margins. Northern Hemisphere insolation at obliquity and precession timescales is thought to control Antarctic climate through oceanic or atmospheric connections, but new thinking suggests that the duration of Southern Hemisphere summer may be more important. The PIs propose to use high elevation alluvial deposits in the Transantarctic Mountains as a proxy for inland warmth. These relatively young fans, channels, and debris flow levees stand out as visible evidence for the presence of melt water in an otherwise ancient, frozen landscape. Based on initial analyses of an alluvial fan in the Olympus Range, these deposits are sensitive recorders of rare melt events that occur at orbital timescales. For their study they will 1) map alluvial deposits using aerial photography, satellite imagery and GPS assisted field surveys to establish water sources and to quantify parameters effecting melt water production, 2) date stratigraphic sequences within these deposits using OSL, cosmogenic nuclide, and interbedded volcanic ash chronologies, 3) use paired nuclide analyses to estimate exposure and burial times, and rates of deposition and erosion, and 4) use micro and regional scale climate modeling to estimate paleoenvironmental conditions associated with melt events.\nThis study will produce a record of inland melting from sites adjacent to ice sheet margins to help determine controls on regional climate along margins of the East Antarctic Ice Sheet to aid ice sheet and sea level modeling studies. The proposal will support several graduate and undergraduates. A PhD student will be supported on existing funding. The PIs will work with multiple K-12 schools to conduct interviews and webcasts from Antarctica and they will make follow up visits to classrooms after the field season is complete.", "east": 161.5, "geometry": ["POINT(161.5 -77.5)"], "keywords": "Antarctica; Chemistry:rock; Chemistry:Rock; Cosmogenic Radionuclides; Geochronology; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Isotope; Sample/collection Description; Sample/Collection Description; Transantarctic Mountains", "locations": "Transantarctic Mountains; Antarctica", "north": -77.5, "nsf_funding_programs": null, "persons": "Willenbring, Jane", "project_titles": "Collaborative Research: Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins", "projects": [{"proj_uid": "p0000429", "repository": "USAP-DC", "title": "Collaborative Research: Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.5, "title": "Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins", "uid": "600379", "west": 161.5}, {"awards": "0732804 McPhee, Miles", "bounds_geometry": ["POINT(166.25 -77.42)"], "date_created": "Wed, 01 Jan 2014 00:00:00 GMT", "description": "The Office of Polar Programs, Antarctic Integrated and System Science Program has made this award to support an interdisciplinary study of the effects of the ocean on the stability of glacial ice in the most dynamic region the West Antarctic Ice Sheet, namely the Pine Island Glacier in the Amundsen Sea Embayment. The collaborative project builds on the knowledge gained by the highly successful West Antarctic Ice Sheet program and is being jointly sponsored with NASA. Recent observations indicate a significant ice loss, equivalent to 10% of the ongoing increase in sea-level rise, in this region. These changes are largest along the coast and propagate rapidly inland, indicating the critical impact of the ocean on ice sheet stability in the region. While a broad range of remote sensing and ground-based instrumentation is available to characterize changes of the ice surface and internal structure (deformation, ice motion, melt) and the shape of the underlying sediment and rock bed, instrumentation has yet to be successfully deployed for observing boundary layer processes of the ocean cavity which underlies the floating ice shelf and where rapid melting is apparently occurring. Innovative, mini ocean sensors that can be lowered through boreholes in the ice shelf (about 500 m thick) will be developed and deployed to automatically provide ocean profiling information over at least three years. Their data will be transmitted through a conducting cable frozen in the borehole to the surface where it will be further transmitted via satellite to a laboratory in the US. Geophysical and remote sensing methods (seismic, GPS, altimetry, stereo imaging, radar profiling) will be applied to map the geometry of the ice shelf, the shape of the sub ice-shelf cavity, the ice surface geometry and deformations within the glacial ice. To integrate the seismic, glaciological and oceanographic observations, a new 3-dimensional coupled ice-ocean model is being developed which will be the first of its kind. NASA is supporting satellite based research and the deployment of a robotic-camera system to explore the environment in the ocean cavity underlying the ice shelf and NSF is supporting all other aspects of this study. \n\nBroader impacts: This project is motivated by the potential societal impacts of rapid sea level rise and should result in critically needed improvements in characterizing and predicting the behavior of coupled ocean-ice systems. It is a contribution to the International Polar Year and was endorsed by the International Council for Science as a component of the \u0027Multidisciplinary Study of the Amundsen Sea Embayment\u0027 proposal #258 of the honeycomb of endorsed IPY activities. The research involves substantial international partnerships with the British Antarctic Survey and the University of Bristol in the UK. The investigators will partner with the previously funded \u0027Polar Palooza\u0027 education and outreach program in addition to undertaking a diverse set of outreach activities of their own. Eight graduate students and one undergraduate as well as one post doc will be integrated into this research project.\n", "east": 166.25, "geometry": ["POINT(166.25 -77.42)"], "keywords": "Antarctica; Atmosphere; McMurdo; Meteorology; Oceans; Ross Island; Southern Ocean", "locations": "McMurdo; Ross Island; Antarctica; Southern Ocean", "north": -77.42, "nsf_funding_programs": null, "persons": "McPhee, Miles G.", "project_titles": "Collaborative Research; IPY: Ocean-Ice Interaction in the Amundsen Sea sector of West Antarctica", "projects": [{"proj_uid": "p0000043", "repository": "USAP-DC", "title": "Collaborative Research; IPY: Ocean-Ice Interaction in the Amundsen Sea sector of West Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.42, "title": "Ocean-Ice Interaction in the Amundsen Sea Sector of West Antarctica", "uid": "600072", "west": 166.25}, {"awards": "8919147 Elliot, David", "bounds_geometry": ["POLYGON((-134 -80,-131 -80,-128 -80,-125 -80,-122 -80,-119 -80,-116 -80,-113 -80,-110 -80,-107 -80,-104 -80,-104 -80.4,-104 -80.8,-104 -81.2,-104 -81.6,-104 -82,-104 -82.4,-104 -82.8,-104 -83.2,-104 -83.6,-104 -84,-107 -84,-110 -84,-113 -84,-116 -84,-119 -84,-122 -84,-125 -84,-128 -84,-131 -84,-134 -84,-134 -83.6,-134 -83.2,-134 -82.8,-134 -82.4,-134 -82,-134 -81.6,-134 -81.2,-134 -80.8,-134 -80.4,-134 -80))"], "date_created": "Wed, 17 Mar 2004 00:00:00 GMT", "description": "Ice surface elevation and ice thickness data are available for a\nportion of the West Antarctic Ice Sheet. The investigators utilized a\nlaser altimeter and ice-penetrating radar mounted to a Twin Otter\naircraft to survey the ice sheet. Ice surface elevations and ice\nthickness data, derived from laser altimetry and radar sounding\nresults, are available in ASCII format via ftp.\n\nThese data are a result of the Corridor Aerogeophysics of the\nSoutheastern Ross Transect Zone (CASERTZ) experiments of the 1990s.\nThe CASERTZ geophysical surveys were aimed at understanding geological\ncontrols on ice streams of the West Antarctic Ice Sheet, ultimately to\nhelp assess the potential for ice sheet collapse. Blankenship et\nal. (2001) used ice surface elevations and ice thicknesses (reported\nhere) to calculate driving stresses across the ice sheet and thus to identify regions of rapid basal movement by ice streams.", "east": -104.0, "geometry": ["POINT(-119 -82)"], "keywords": "Antarctica; Elevation; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ross Embayment; West Antarctica", "locations": "West Antarctica; Ross Embayment; Antarctica", "north": -80.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Blankenship, Donald D.; Finn, C. A.; Morse, David L.; Peters, M. E.; Kempf, Scott D.; Hodge, S. M.; Behrendt, J. C.; Brozena, J. M.; Studinger, Michael S.; Bell, Robin", "project_titles": "Corridor Aerogeophysics of the Southeastern Ross Transect Zone (CASERTZ), Antarctica", "projects": [{"proj_uid": "p0000056", "repository": "USAP-DC", "title": "Corridor Aerogeophysics of the Southeastern Ross Transect Zone (CASERTZ), Antarctica"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -84.0, "title": "Ice Thickness and Surface Elevation, Southeastern Ross Embayment, West Antarctica", "uid": "609099", "west": -134.0}]
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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 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 |
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 |
MELT 2018-2020 Accumulation Radar at Thwaites
|
1739003 |
2023-03-28 | Paden, John | No project link provided | Data products (radar echogram images and ice surface and ice bottom tracking) from the two ITGC MELT Accumulation Radar campaigns at Thwaites Glacier. | ["POLYGON((-114.2703 -66.8445,-109.54270000000001 -66.8445,-104.8151 -66.8445,-100.0875 -66.8445,-95.35990000000001 -66.8445,-90.6323 -66.8445,-85.9047 -66.8445,-81.1771 -66.8445,-76.4495 -66.8445,-71.7219 -66.8445,-66.9943 -66.8445,-66.9943 -67.98911,-66.9943 -69.13372,-66.9943 -70.27833,-66.9943 -71.42294,-66.9943 -72.56755,-66.9943 -73.71216,-66.9943 -74.85677,-66.9943 -76.00138,-66.9943 -77.14599,-66.9943 -78.2906,-71.72189999999999 -78.2906,-76.4495 -78.2906,-81.1771 -78.2906,-85.90469999999999 -78.2906,-90.6323 -78.2906,-95.3599 -78.2906,-100.0875 -78.2906,-104.8151 -78.2906,-109.5427 -78.2906,-114.2703 -78.2906,-114.2703 -77.14599,-114.2703 -76.00138,-114.2703 -74.85677,-114.2703 -73.71216,-114.2703 -72.56755,-114.2703 -71.42294,-114.2703 -70.27833,-114.2703 -69.13372,-114.2703 -67.98911,-114.2703 -66.8445))"] | ["POINT(-90.6323 -72.56755)"] | false | false |
RBG - Robb Glacier Survey
|
9319379 |
2022-09-01 | Blankenship, Donald D.; Bell, Robin; Buck, W. Roger; Young, Duncan A. |
Continuation of Activities for the Support Office for Aerogeophysical Research (SOAR) |
The RGB survey is a single line flown up Robb Glacier. Laser altimetry, ice-penetrating radar, gravity and magnetic field intensity data were collected. This work was funded by NSF-OPP 9319379 with the project title: Collaborative Research: Contrasting Architecture and Dynamics of the Transantarctic Mountains (Pensacola-Pole Transect). Principal Investigators were D.D. Blankenship, University of Texas Institute for Geophysics, and R.E. Bell and W.R. Buck, Lamont-Doherty Earth Observatory. | ["POLYGON((150 -81.9,152.1 -81.9,154.2 -81.9,156.3 -81.9,158.4 -81.9,160.5 -81.9,162.6 -81.9,164.7 -81.9,166.8 -81.9,168.9 -81.9,171 -81.9,171 -82.06,171 -82.22,171 -82.38000000000001,171 -82.54,171 -82.7,171 -82.86,171 -83.02,171 -83.18,171 -83.34,171 -83.5,168.9 -83.5,166.8 -83.5,164.7 -83.5,162.6 -83.5,160.5 -83.5,158.4 -83.5,156.3 -83.5,154.2 -83.5,152.1 -83.5,150 -83.5,150 -83.34,150 -83.18,150 -83.02,150 -82.86,150 -82.7,150 -82.54,150 -82.38000000000001,150 -82.22,150 -82.06,150 -81.9))"] | ["POINT(160.5 -82.7)"] | false | false |
SOAR-Lake Vostok Survey surface elevation data
|
9911617 9978236 |
2020-04-28 | Studinger, Michael S.; Bell, Robin |
Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work
Continuation of Activities for the Support Office for Aerogeophysical Research (SOAR) |
Surface Elevation Data acquired during the SOAR Twin Otter expedition SOAR-LVS (2000) This data set was during SOAR Twin Otter expedition SOAR-LVS conducted in 2000 (Chief Scientist: Dr. Robin Bell; Investigator(s): Dr. Michael Studinger). These data files are of ASCII format and include Surface Elevation data and were processed after data collection. Data were acquired as part of the project(s): SOAR-Lake Vostok Survey (LVS) and Understanding the Boundary Conditions of the Lake Vostok Environment: A Site Survey for Future Work | ["POLYGON((101.5 -75.5,102.15 -75.5,102.8 -75.5,103.45 -75.5,104.1 -75.5,104.75 -75.5,105.4 -75.5,106.05 -75.5,106.7 -75.5,107.35 -75.5,108 -75.5,108 -75.85,108 -76.2,108 -76.55,108 -76.9,108 -77.25,108 -77.6,108 -77.95,108 -78.3,108 -78.65,108 -79,107.35 -79,106.7 -79,106.05 -79,105.4 -79,104.75 -79,104.1 -79,103.45 -79,102.8 -79,102.15 -79,101.5 -79,101.5 -78.65,101.5 -78.3,101.5 -77.95,101.5 -77.6,101.5 -77.25,101.5 -76.9,101.5 -76.55,101.5 -76.2,101.5 -75.85,101.5 -75.5))"] | ["POINT(104.75 -77.25)"] | false | false |
PIPERS Meteorology Time Series
|
1341725 |
2019-06-12 | Guest, Peter |
Collaborative Research: Seasonal Sea Ice Production in the Ross Sea, Antarctica |
This file contains times series data from the 2017 PIPERS cruise for the period 15 April 0000 – 8 June 1200 (UT). The time series data represent one minute means and include data collected by the Naval Postgraduate School from the starboard side boom (including occasionally on ice surface temp sampling), radiation system on the helo deck and sometimes in situ surface temp. Also included are meteorological, navigation and surface oceanography (from intake) data from the standard ship systems. | ["POLYGON((-180 -62,-179.5 -62,-179 -62,-178.5 -62,-178 -62,-177.5 -62,-177 -62,-176.5 -62,-176 -62,-175.5 -62,-175 -62,-175 -63.6,-175 -65.2,-175 -66.8,-175 -68.4,-175 -70,-175 -71.6,-175 -73.2,-175 -74.8,-175 -76.4,-175 -78,-175.5 -78,-176 -78,-176.5 -78,-177 -78,-177.5 -78,-178 -78,-178.5 -78,-179 -78,-179.5 -78,180 -78,178.8 -78,177.6 -78,176.4 -78,175.2 -78,174 -78,172.8 -78,171.6 -78,170.4 -78,169.2 -78,168 -78,168 -76.4,168 -74.8,168 -73.2,168 -71.6,168 -70,168 -68.4,168 -66.8,168 -65.2,168 -63.6,168 -62,169.2 -62,170.4 -62,171.6 -62,172.8 -62,174 -62,175.2 -62,176.4 -62,177.6 -62,178.8 -62,-180 -62))"] | ["POINT(176.5 -70)"] | false | false |
Radar Depth Sounder Echograms and Ice Thickness
|
0424589 |
2017-08-28 | Paden, John; Leuschen, Carl; Rodriguez, Fernando; Li, Jilu; Allen, Chris; Gogineni, Prasad |
Center for Remote Sensing of Ice Sheets (CReSIS) |
The MCoRDS data set contains L1B Geolocated Radar Echo Strength Profile Images and L2 Ice Thickness, Ice Surface, and Ice Bottom elevations over Antarctica taken with the CReSIS Radar Depth Sounders (RDS). The L1B data set includes measurements for echograms, time, latitude, longitude, elevation, as well as flight path charts and echogram images.The L2 data set includes measurements for time, latitude, longitude, elevation, surface, bottom, and thickness. | ["POLYGON((143 -74.2,155.9 -74.2,168.8 -74.2,181.7 -74.2,194.6 -74.2,207.5 -74.2,220.4 -74.2,233.3 -74.2,246.2 -74.2,259.1 -74.2,272 -74.2,272 -75.5,272 -76.8,272 -78.1,272 -79.4,272 -80.7,272 -82,272 -83.3,272 -84.6,272 -85.9,272 -87.2,259.1 -87.2,246.2 -87.2,233.3 -87.2,220.4 -87.2,207.5 -87.2,194.6 -87.2,181.7 -87.2,168.8 -87.2,155.9 -87.2,143 -87.2,143 -85.9,143 -84.6,143 -83.3,143 -82,143 -80.7,143 -79.4,143 -78.1,143 -76.8,143 -75.5,143 -74.2))"] | ["POINT(-152.5 -80.7)"] | false | false |
Airborne radar profiles of the Whillans, Bindschadler, and Kamb Ice Streams
|
0424589 |
2016-12-28 | Paden, John; Hale, Richard |
Center for Remote Sensing of Ice Sheets (CReSIS) |
The Center for Remote Sensing of Ice Sheets (CReSIS) participated in an airborne radar survey using a BT-67 Basler aircraft over the Siple Coast of Antarctica. Five personnel deployed from November 29, 2013 to January 18, 2014 with USAP project# I-189-M. The major objective was to collect fine-resolution radar data with an ultra-wideband MCoRDS4 UHF/VHF radar depth sounder in conjunction with data from two microwave (Ku-band and Snow) radars and a Google Camera. This dataset includes reflection profiles for the three radars and ice surface and ice bottom picks for the radar depth sounder. | ["POLYGON((163.884 -76.567,171.5583 -76.567,179.2326 -76.567,186.9069 -76.567,194.5812 -76.567,202.2555 -76.567,209.9298 -76.567,217.6041 -76.567,225.2784 -76.567,232.9527 -76.567,240.627 -76.567,240.627 -77.3847,240.627 -78.2024,240.627 -79.0201,240.627 -79.8378,240.627 -80.6555,240.627 -81.4732,240.627 -82.2909,240.627 -83.1086,240.627 -83.9263,240.627 -84.744,232.9527 -84.744,225.2784 -84.744,217.6041 -84.744,209.9298 -84.744,202.2555 -84.744,194.5812 -84.744,186.9069 -84.744,179.2326 -84.744,171.5583 -84.744,163.884 -84.744,163.884 -83.9263,163.884 -83.1086,163.884 -82.2909,163.884 -81.4732,163.884 -80.6555,163.884 -79.8378,163.884 -79.0201,163.884 -78.2024,163.884 -77.3847,163.884 -76.567))"] | ["POINT(-157.7445 -80.6555)"] | false | false |
Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins
|
1043554 |
2016-11-09 | Willenbring, Jane |
Collaborative Research: Activation of high-elevation alluvial fans in the Transantarctic Mountains - a proxy for Plio-Pleistocene warmth along East Antarctic ice margins |
The PIs propose to address the question of whether ice surface melting zones developed at high elevations during warm climatic phases in the Transantarctic Mountains. Evidence from sediment cores drilled by the ANDRILL program indicates that open water in the Ross Sea could have been a source of warmth during Pliocene and Pleistocene. The question is whether marine warmth penetrated inland to the ice sheet margins. The glacial record may be ill suited to answer this question, as cold-based glaciers may respond too slowly to register brief warmth. Questions also surround possible orbital controls on regional climate and ice sheet margins. Northern Hemisphere insolation at obliquity and precession timescales is thought to control Antarctic climate through oceanic or atmospheric connections, but new thinking suggests that the duration of Southern Hemisphere summer may be more important. The PIs propose to use high elevation alluvial deposits in the Transantarctic Mountains as a proxy for inland warmth. These relatively young fans, channels, and debris flow levees stand out as visible evidence for the presence of melt water in an otherwise ancient, frozen landscape. Based on initial analyses of an alluvial fan in the Olympus Range, these deposits are sensitive recorders of rare melt events that occur at orbital timescales. For their study they will 1) map alluvial deposits using aerial photography, satellite imagery and GPS assisted field surveys to establish water sources and to quantify parameters effecting melt water production, 2) date stratigraphic sequences within these deposits using OSL, cosmogenic nuclide, and interbedded volcanic ash chronologies, 3) use paired nuclide analyses to estimate exposure and burial times, and rates of deposition and erosion, and 4) use micro and regional scale climate modeling to estimate paleoenvironmental conditions associated with melt events. This study will produce a record of inland melting from sites adjacent to ice sheet margins to help determine controls on regional climate along margins of the East Antarctic Ice Sheet to aid ice sheet and sea level modeling studies. The proposal will support several graduate and undergraduates. A PhD student will be supported on existing funding. The PIs will work with multiple K-12 schools to conduct interviews and webcasts from Antarctica and they will make follow up visits to classrooms after the field season is complete. | ["POINT(161.5 -77.5)"] | ["POINT(161.5 -77.5)"] | false | false |
Ocean-Ice Interaction in the Amundsen Sea Sector of West Antarctica
|
0732804 |
2014-01-01 | McPhee, Miles G. |
Collaborative Research; IPY: Ocean-Ice Interaction in the Amundsen Sea sector of West Antarctica |
The Office of Polar Programs, Antarctic Integrated and System Science Program has made this award to support an interdisciplinary study of the effects of the ocean on the stability of glacial ice in the most dynamic region the West Antarctic Ice Sheet, namely the Pine Island Glacier in the Amundsen Sea Embayment. The collaborative project builds on the knowledge gained by the highly successful West Antarctic Ice Sheet program and is being jointly sponsored with NASA. Recent observations indicate a significant ice loss, equivalent to 10% of the ongoing increase in sea-level rise, in this region. These changes are largest along the coast and propagate rapidly inland, indicating the critical impact of the ocean on ice sheet stability in the region. While a broad range of remote sensing and ground-based instrumentation is available to characterize changes of the ice surface and internal structure (deformation, ice motion, melt) and the shape of the underlying sediment and rock bed, instrumentation has yet to be successfully deployed for observing boundary layer processes of the ocean cavity which underlies the floating ice shelf and where rapid melting is apparently occurring. Innovative, mini ocean sensors that can be lowered through boreholes in the ice shelf (about 500 m thick) will be developed and deployed to automatically provide ocean profiling information over at least three years. Their data will be transmitted through a conducting cable frozen in the borehole to the surface where it will be further transmitted via satellite to a laboratory in the US. Geophysical and remote sensing methods (seismic, GPS, altimetry, stereo imaging, radar profiling) will be applied to map the geometry of the ice shelf, the shape of the sub ice-shelf cavity, the ice surface geometry and deformations within the glacial ice. To integrate the seismic, glaciological and oceanographic observations, a new 3-dimensional coupled ice-ocean model is being developed which will be the first of its kind. NASA is supporting satellite based research and the deployment of a robotic-camera system to explore the environment in the ocean cavity underlying the ice shelf and NSF is supporting all other aspects of this study. Broader impacts: This project is motivated by the potential societal impacts of rapid sea level rise and should result in critically needed improvements in characterizing and predicting the behavior of coupled ocean-ice systems. It is a contribution to the International Polar Year and was endorsed by the International Council for Science as a component of the 'Multidisciplinary Study of the Amundsen Sea Embayment' proposal #258 of the honeycomb of endorsed IPY activities. The research involves substantial international partnerships with the British Antarctic Survey and the University of Bristol in the UK. The investigators will partner with the previously funded 'Polar Palooza' education and outreach program in addition to undertaking a diverse set of outreach activities of their own. Eight graduate students and one undergraduate as well as one post doc will be integrated into this research project. | ["POINT(166.25 -77.42)"] | ["POINT(166.25 -77.42)"] | false | false |
Ice Thickness and Surface Elevation, Southeastern Ross Embayment, West Antarctica
|
8919147 |
2004-03-17 | Blankenship, Donald D.; Finn, C. A.; Morse, David L.; Peters, M. E.; Kempf, Scott D.; Hodge, S. M.; Behrendt, J. C.; Brozena, J. M.; Studinger, Michael S.; Bell, Robin |
Corridor Aerogeophysics of the Southeastern Ross Transect Zone (CASERTZ), Antarctica |
Ice surface elevation and ice thickness data are available for a portion of the West Antarctic Ice Sheet. The investigators utilized a laser altimeter and ice-penetrating radar mounted to a Twin Otter aircraft to survey the ice sheet. Ice surface elevations and ice thickness data, derived from laser altimetry and radar sounding results, are available in ASCII format via ftp. These data are a result of the Corridor Aerogeophysics of the Southeastern Ross Transect Zone (CASERTZ) experiments of the 1990s. The CASERTZ geophysical surveys were aimed at understanding geological controls on ice streams of the West Antarctic Ice Sheet, ultimately to help assess the potential for ice sheet collapse. Blankenship et al. (2001) used ice surface elevations and ice thicknesses (reported here) to calculate driving stresses across the ice sheet and thus to identify regions of rapid basal movement by ice streams. | ["POLYGON((-134 -80,-131 -80,-128 -80,-125 -80,-122 -80,-119 -80,-116 -80,-113 -80,-110 -80,-107 -80,-104 -80,-104 -80.4,-104 -80.8,-104 -81.2,-104 -81.6,-104 -82,-104 -82.4,-104 -82.8,-104 -83.2,-104 -83.6,-104 -84,-107 -84,-110 -84,-113 -84,-116 -84,-119 -84,-122 -84,-125 -84,-128 -84,-131 -84,-134 -84,-134 -83.6,-134 -83.2,-134 -82.8,-134 -82.4,-134 -82,-134 -81.6,-134 -81.2,-134 -80.8,-134 -80.4,-134 -80))"] | ["POINT(-119 -82)"] | false | false |