{"dp_type": "Dataset", "free_text": "Surface Melt"}
[{"awards": "2423761 Blackburn, Terrence; 2042495 Blackburn, Terrence", "bounds_geometry": ["POLYGON((-180 -75,-144 -75,-108 -75,-72 -75,-36 -75,0 -75,36 -75,72 -75,108 -75,144 -75,180 -75,180 -76.5,180 -78,180 -79.5,180 -81,180 -82.5,180 -84,180 -85.5,180 -87,180 -88.5,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -88.5,-180 -87,-180 -85.5,-180 -84,-180 -82.5,-180 -81,-180 -79.5,-180 -78,-180 -76.5,-180 -75))"], "date_created": "Mon, 17 Mar 2025 00:00:00 GMT", "description": "This dataset includes geochemical analyses of carbonate nodules collected at Elephant Moraine and the Pensacola Mountains, East Antarctica. Oxygen and uranium-series isotope analyses indicate that these carbonates precipitated from glacial meltwater during deglacial periods in the late Pleistocene. Carbonate \u03b413C values as low as -32.75 \u2030 identify thermogenic methane as a primary carbon source, while clumped isotope measurements indicate formation temperatures of 12 - 20\u02daC, consistent with a geothermal origin. Lipid biomarker analyses further show that organic matter preserved in the nodules is highly thermally matured. These findings indicate that deep-sourced thermogenic methane migrated as hydrocarbon seeps to shallow pore spaces within basal sediments, demonstrating that geothermally active areas can be hotspots for methane accumulation below the Antarctic Ice Sheet. This material is based on services provided by the Polar Rock Repository with support from the National Science Foundation, under Cooperative Agreement OPP-2137467.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Carbon Isotopes; Cryosphere; East Antarctica; Elephant Moraine; Geochronology; Isotope Data; Subglacial", "locations": "Antarctica; Elephant Moraine; East Antarctica", "north": -75.0, "nsf_funding_programs": "Antarctic Earth Sciences; Antarctic Earth Sciences", "persons": "Piccione, Gavin", "project_titles": "Collaborative Research: Reconstructing East Antarctica\u2019s Past Response to Climate using Subglacial Precipitates; EAGER: Pedogenic Carbonates Record Insolation Driven Surface Melting in Antarctica", "projects": [{"proj_uid": "p0010459", "repository": "USAP-DC", "title": "EAGER: Pedogenic Carbonates Record Insolation Driven Surface Melting in Antarctica"}, {"proj_uid": "p0010192", "repository": "USAP-DC", "title": "Collaborative Research: Reconstructing East Antarctica\u2019s Past Response to Climate using Subglacial Precipitates"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Thermogenic Methane Production in Antarctic Subglacial Hydrocarbon Seeps", "uid": "601918", "west": -180.0}, {"awards": "2136938 Tedesco, Marco", "bounds_geometry": ["POLYGON((-40 67.55,-39.611 67.55,-39.222 67.55,-38.833 67.55,-38.444 67.55,-38.055 67.55,-37.666 67.55,-37.277 67.55,-36.888 67.55,-36.499 67.55,-36.11 67.55,-36.11 67.28999999999999,-36.11 67.03,-36.11 66.77,-36.11 66.51,-36.11 66.25,-36.11 65.99,-36.11 65.73,-36.11 65.47,-36.11 65.21000000000001,-36.11 64.95,-36.499 64.95,-36.888 64.95,-37.277 64.95,-37.666 64.95,-38.055 64.95,-38.444 64.95,-38.833 64.95,-39.222 64.95,-39.611 64.95,-40 64.95,-40 65.21000000000001,-40 65.47,-40 65.73,-40 65.99,-40 66.25,-40 66.51,-40 66.77,-40 67.03,-40 67.28999999999999,-40 67.55))"], "date_created": "Mon, 07 Oct 2024 00:00:00 GMT", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003eThe data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Mod\u00e9le Atmosph\u00e9rique R\u00e8gional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. \r\n\u003cbr/\u003e\u003cbr/\u003eA similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. \r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003e\r\n\u003cbr/\u003e\u003cbr/\u003e", "east": -36.11, "geometry": ["POINT(-38.055 66.25)"], "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Greenland; Ice Sheet; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "locations": "Greenland; Antarctica; Greenland", "north": 67.55, "nsf_funding_programs": "Polar Cyberinfrastructure", "persons": "Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco", "project_titles": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "projects": [{"proj_uid": "p0010277", "repository": "USAP-DC", "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": 64.95, "title": "Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications", "uid": "601841", "west": -40.0}, {"awards": "2136938 Tedesco, Marco", "bounds_geometry": ["POLYGON((-68.5 -65.25,-67.35 -65.25,-66.2 -65.25,-65.05 -65.25,-63.9 -65.25,-62.75 -65.25,-61.6 -65.25,-60.45 -65.25,-59.3 -65.25,-58.15 -65.25,-57 -65.25,-57 -65.652,-57 -66.054,-57 -66.456,-57 -66.858,-57 -67.25999999999999,-57 -67.66199999999999,-57 -68.064,-57 -68.466,-57 -68.868,-57 -69.27,-58.15 -69.27,-59.3 -69.27,-60.45 -69.27,-61.6 -69.27,-62.75 -69.27,-63.9 -69.27,-65.05 -69.27,-66.2 -69.27,-67.35 -69.27,-68.5 -69.27,-68.5 -68.868,-68.5 -68.466,-68.5 -68.064,-68.5 -67.66199999999999,-68.5 -67.25999999999999,-68.5 -66.858,-68.5 -66.456,-68.5 -66.054,-68.5 -65.652,-68.5 -65.25))"], "date_created": "Mon, 07 Oct 2024 00:00:00 GMT", "description": "This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Lambert azimuthal equal area projection; EPSG 9820) over Larsen C Ice Shelf and surrounding areas in Antarctica. The data is prepared to be used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately.\r\n\u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003eThe data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Mod\u00e9le Atmosph\u00e9rique R\u00e8gional (MAR) regional climate model, a static digital elevation model (DEM), and an ice sheet mask. \r\n\u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003eA similar dataset has been produced for Helheim Glacier, Greenland and is also available through the US Antarctic Program Data Center.", "east": -57.0, "geometry": ["POINT(-62.75 -67.25999999999999)"], "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Larsen C Ice Shelf; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "locations": "Antarctica; Larsen C Ice Shelf", "north": -65.25, "nsf_funding_programs": "Polar Cyberinfrastructure", "persons": "Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco", "project_titles": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "projects": [{"proj_uid": "p0010277", "repository": "USAP-DC", "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -69.27, "title": "Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications", "uid": "601842", "west": -68.5}, {"awards": "1841467 MacAyeal, Douglas; 1841607 Banwell, Alison", "bounds_geometry": ["POLYGON((-68.28 -71.1,-68.202 -71.1,-68.124 -71.1,-68.046 -71.1,-67.968 -71.1,-67.89 -71.1,-67.812 -71.1,-67.734 -71.1,-67.656 -71.1,-67.578 -71.1,-67.5 -71.1,-67.5 -71.14999999999999,-67.5 -71.19999999999999,-67.5 -71.25,-67.5 -71.3,-67.5 -71.35,-67.5 -71.39999999999999,-67.5 -71.44999999999999,-67.5 -71.5,-67.5 -71.55,-67.5 -71.6,-67.578 -71.6,-67.656 -71.6,-67.734 -71.6,-67.812 -71.6,-67.89 -71.6,-67.968 -71.6,-68.046 -71.6,-68.124 -71.6,-68.202 -71.6,-68.28 -71.6,-68.28 -71.55,-68.28 -71.5,-68.28 -71.44999999999999,-68.28 -71.39999999999999,-68.28 -71.35,-68.28 -71.3,-68.28 -71.25,-68.28 -71.19999999999999,-68.28 -71.14999999999999,-68.28 -71.1))"], "date_created": "Wed, 20 Mar 2024 00:00:00 GMT", "description": "This dataset contains all of the field data (GNSS, weather station data, timelapse camera images) used in the publication \u0027Banwell et al., 2024\u0027, which documents observations of surface meltwater-induced flexure and fracture at a doline on north George VI Ice Shelf, Antarctic Peninsula. ", "east": -67.5, "geometry": ["POINT(-67.89 -71.35)"], "keywords": "Antarctica; Antarctic Peninsula; AWS; Cryosphere; GNSS; GPS Data; Ice-Shelf Flexure; Ice Shelf Fracture; Ice-Shelf Melt; Timelaps Images", "locations": "Antarctic Peninsula; Antarctica", "north": -71.1, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "persons": "Banwell, Alison; Willis, Ian; Stevens, Laura; Dell, Rebecca; MacAyeal, Douglas", "project_titles": "NSFGEO-NERC: Ice-shelf Instability Caused by Active Surface Meltwater Production, Movement, Ponding and Hydrofracture", "projects": [{"proj_uid": "p0010449", "repository": "USAP-DC", "title": "NSFGEO-NERC: Ice-shelf Instability Caused by Active Surface Meltwater Production, Movement, Ponding and Hydrofracture"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -71.6, "title": "Dataset for: Banwell et al. 2024, \u0027Observed meltwater-induced flexure and fracture at a doline on George VI Ice Shelf, Antarctica\u0027, Journal of Glaciology.", "uid": "601771", "west": -68.28}, {"awards": "1933764 Enderlin, Ellyn", "bounds_geometry": ["POLYGON((-63.1 -65.2,-62.99 -65.2,-62.88 -65.2,-62.77 -65.2,-62.660000000000004 -65.2,-62.55 -65.2,-62.44 -65.2,-62.33 -65.2,-62.22 -65.2,-62.11 -65.2,-62 -65.2,-62 -65.24000000000001,-62 -65.28,-62 -65.32,-62 -65.36,-62 -65.4,-62 -65.44,-62 -65.47999999999999,-62 -65.52,-62 -65.56,-62 -65.6,-62.11 -65.6,-62.22 -65.6,-62.33 -65.6,-62.44 -65.6,-62.55 -65.6,-62.660000000000004 -65.6,-62.77 -65.6,-62.88 -65.6,-62.99 -65.6,-63.1 -65.6,-63.1 -65.56,-63.1 -65.52,-63.1 -65.47999999999999,-63.1 -65.44,-63.1 -65.4,-63.1 -65.36,-63.1 -65.32,-63.1 -65.28,-63.1 -65.24000000000001,-63.1 -65.2))"], "date_created": "Mon, 24 Oct 2022 00:00:00 GMT", "description": "This dataset contains observed and modeled conditions along the Crane Glacier centerline for ~1994\u20142100. Observations include centerline (cl) coordinates, downscaled RACMO climate variables (runoff, snowfall, snowmelt, and surface mass balance), bed elevations (b), surface elevations (h), glacier width (W), calving front positions (xcf), and surface speeds (U) when available for the 1994\u20142019 period. Modeling results include glacier centerline geometry, speed, glacier mass discharge (Q_gl), and calving front and grounding line positions (x_cf and x_gl) under different future climate scenarios with varying surface mass balance (SMB), ocean thermal forcing (FT), SMB with potential feedbacks associated with enhanced surface melt water discharge and plume strengthening (SMB_enh), and concurrent SMB_enh and FT perturbations (SMB_enh_FT). Data are in \u201c.mat\u201d format, which can be read using MATLAB\u2019s \u201cload\u201d function or using Python with the Scipy \u201cscipy.io.loadmat\u201d function. ", "east": -62.0, "geometry": ["POINT(-62.55 -65.4)"], "keywords": "Antarctica; Antarctic Peninsula; Crane Glacier; Glacier Dynamics; Glacier Mass Discharge; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Modeling; Model Output", "locations": "Crane Glacier; Antarctica; Antarctic Peninsula", "north": -65.2, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Aberle, Rainey; Enderlin, Ellyn; Marshall, Hans-Peter; Kopera, Michal; Meehan, Tate", "project_titles": "Antarctic Submarine Melt Variability from Remote Sensing of Icebergs", "projects": [{"proj_uid": "p0010210", "repository": "USAP-DC", "title": "Antarctic Submarine Melt Variability from Remote Sensing of Icebergs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -65.6, "title": "Crane Glacier centerline observations and modeling results ", "uid": "601617", "west": -63.1}, {"awards": "1543432 Hock, Regine", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Tue, 22 Jun 2021 00:00:00 GMT", "description": "This dataset contains the total number of days per year with meltwater present at the surface across the Antarctic ice sheet and surrounding ice shelves derived from passive microwave satellite observations for each melt year from 1979/80 to 2019/20. This data comes from daily and near-daily SMMR, SSM/I, and SSMIS results at 25 km resolution at 19 GHz horizontal polarization. Each melt year starts on July 1 and ends June 30. The melt detection algorithm is described in Johnson and others (2020) and uses KMeans clustering analysis of the annual brightness temperature time series on each pixel to detect melt for that pixel and year. ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Melt Days; Passive Microwave; Snow/ice; Snow/Ice; Surface Melt", "locations": "Antarctica; Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Johnson, Andrew; Hock, Regine; Fahnestock, Mark", "project_titles": "Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model", "projects": [{"proj_uid": "p0010408", "repository": "USAP-DC", "title": "Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Antarctic passive microwave Kmeans derived surface melt days, 1979-2020", "uid": "601457", "west": -180.0}, {"awards": "1643715 Moussavi, Mahsa Sadat", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Thu, 10 Dec 2020 00:00:00 GMT", "description": "This dataset contains extents and depths of supraglacial lakes on ice shelves across the Antarctic ice sheet, mapped from Landsat 8 imagery collected over the 2013-2020 period. ", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Landsat-8; Satellite Imagery; Supraglacial Lake", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Moussavi, Mahsa; Pope, Allen; Trusel, Luke; Abdalati, Waleed; Halberstadt, Anna Ruth", "project_titles": "Collaborative Research: Water on the Antarctic Ice Sheet: Quantifying Surface Melt and Mapping Supraglacial Lakes", "projects": [{"proj_uid": "p0010088", "repository": "USAP-DC", "title": "Collaborative Research: Water on the Antarctic Ice Sheet: Quantifying Surface Melt and Mapping Supraglacial Lakes"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Supraglacial Lakes in Antarctica", "uid": "601401", "west": -180.0}, {"awards": "1743310 Kingslake, Jonathan", "bounds_geometry": ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"], "date_created": "Sat, 24 Oct 2020 00:00:00 GMT", "description": "This data set contains the results presented in Lai et al. (2020), including; the 125m-resolution fracture map, the spatial distribution of fracture depths and the required initial flaw size for hydrofracture, which is calculated using linear elastic fracture mechanics (LEFM) according to the ice-shelf stress fields and thickness. The dimensionless stress (Rxx_bar, defined in Lai et al. (2020)) governs how fractures behave. Using a dimensionless stress criteria we have determined which ice-shelf areas are vulnerable to hydrofracture if inundated with melt water (Rxx_bar \u003eRxx*_bar).", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Computer Model; Fractures; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Meltwater; Model Data", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Lai, Ching-Yao", "project_titles": "Satellite observations and modelling of surface meltwater flow and its impact on ice shelves", "projects": [{"proj_uid": "p0010184", "repository": "USAP-DC", "title": "Satellite observations and modelling of surface meltwater flow and its impact on ice shelves"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Vulnerability of Antarctica\u2019s ice shelves to meltwater-driven fracture", "uid": "601395", "west": -180.0}, {"awards": "1743326 Kingslake, Jonathan", "bounds_geometry": null, "date_created": "Fri, 22 Mar 2019 00:00:00 GMT", "description": "In February 2018, we hosted a workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability at Lamont-Doherty Earth Observatory, Palisades, New York. Funding for the workshop was provided by the\r\nU.S. National Science Foundation (NSF) Antarctic Glaciology Program (award number: 1743326). The\r\naims of the workshop were to: (1) establish the state-of-the-science of Antarctic surface hydrology; (2)\r\nidentify key science questions raised by observations and theoretical studies of Antarctic surface\r\nhydrology, and (3) move the community toward answering these questions by bringing together scientists\r\nwith diverse expertise. The workshop was motivated by the premise that significant gains in our\r\nunderstanding can be made if researchers with interests in this field are provided with an opportunity to\r\ncommunicate and develop collaborations across disciplines.\r\n\r\nHere we report on the organisation, attendance, and structure of the workshop, before summarizing key\r\nscience outcomes, research questions, and future priorities that emerged during the workshop within the\r\nfollowing four themes:\r\n1. Surface melting: controls and observations\r\n2. Water ponding and flow\r\n3. Impact of meltwater on ice-shelf stability\r\n4. Ice-sheet/climate modeling\r\n\r\nFinally, building on the emergent science questions, we propose a framework for prioritizing future work,\r\naimed at understanding and predicting the impact that surface meltwater will have on future Antarctic Ice\r\nSheet mass balance.", "east": null, "geometry": null, "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Hydrology; Ice Sheet Stability; Ice Shelf; Report; Workshop", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Glaciology", "persons": "Kingslake, Jonathan; Trusel, Luke; Banwell, Alison; Bell, Robin; Das, Indrani; DeConto, Robert; Tedesco, Marco; Lenaerts, Jan; Schoof, Christian", "project_titles": "Workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability", "projects": [{"proj_uid": "p0010021", "repository": "USAP-DC", "title": "Workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Report on Antarctic surface hydrology workshop, LDEO, 2018", "uid": "601170", "west": null}, {"awards": "1443126 MacAyeal, Douglas", "bounds_geometry": ["POLYGON((166.152184 -77.902339,166.1559273 -77.902339,166.1596706 -77.902339,166.1634139 -77.902339,166.1671572 -77.902339,166.1709005 -77.902339,166.1746438 -77.902339,166.1783871 -77.902339,166.1821304 -77.902339,166.1858737 -77.902339,166.189617 -77.902339,166.189617 -77.9026372,166.189617 -77.9029354,166.189617 -77.9032336,166.189617 -77.9035318,166.189617 -77.90383,166.189617 -77.9041282,166.189617 -77.9044264,166.189617 -77.9047246,166.189617 -77.9050228,166.189617 -77.905321,166.1858737 -77.905321,166.1821304 -77.905321,166.1783871 -77.905321,166.1746438 -77.905321,166.1709005 -77.905321,166.1671572 -77.905321,166.1634139 -77.905321,166.1596706 -77.905321,166.1559273 -77.905321,166.152184 -77.905321,166.152184 -77.9050228,166.152184 -77.9047246,166.152184 -77.9044264,166.152184 -77.9041282,166.152184 -77.90383,166.152184 -77.9035318,166.152184 -77.9032336,166.152184 -77.9029354,166.152184 -77.9026372,166.152184 -77.902339))"], "date_created": "Fri, 31 Aug 2018 00:00:00 GMT", "description": "During the Austral summer melt season of 2016-2017, an automatic camera was placed overlooking a surface lake feature on the McMurdo Ice Shelf. This camera created a time-lapse video (30 minute photograph time intervals) used to observe the filling and draining of the lake called Rift-Tip Lake located approximately 2 km from the McMurdo Ice Shelf ice front. The data was used in support of a field project to measure the flexural response of the McMurdo Ice Shelf (and ice shelves in general) to the filling and draining of supraglacial lakes. The time-lapse video begins 16 November 2016 and ends 27 January 2017.", "east": 166.189617, "geometry": ["POINT(166.1709005 -77.90383)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Photo/video; Photo/Video; Supraglacial Meltwater", "locations": "Antarctica", "north": -77.902339, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "persons": "MacAyeal, Douglas; Banwell, Alison", "project_titles": "Impact of Supraglacial Lakes on Ice-Shelf Stability", "projects": [{"proj_uid": "p0000138", "repository": "USAP-DC", "title": "Impact of Supraglacial Lakes on Ice-Shelf Stability"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.905321, "title": "Time-lapse video of McMurdo Ice Shelf surface melting and hydrology", "uid": "601113", "west": 166.152184}, {"awards": "1443126 MacAyeal, Douglas", "bounds_geometry": ["POLYGON((166.02819 -77.887495,166.053634 -77.887495,166.079078 -77.887495,166.104522 -77.887495,166.129966 -77.887495,166.15541 -77.887495,166.180854 -77.887495,166.206298 -77.887495,166.231742 -77.887495,166.257186 -77.887495,166.28263 -77.887495,166.28263 -77.8926145,166.28263 -77.897734,166.28263 -77.9028535,166.28263 -77.907973,166.28263 -77.9130925,166.28263 -77.918212,166.28263 -77.9233315,166.28263 -77.928451,166.28263 -77.9335705,166.28263 -77.93869,166.257186 -77.93869,166.231742 -77.93869,166.206298 -77.93869,166.180854 -77.93869,166.15541 -77.93869,166.129966 -77.93869,166.104522 -77.93869,166.079078 -77.93869,166.053634 -77.93869,166.02819 -77.93869,166.02819 -77.9335705,166.02819 -77.928451,166.02819 -77.9233315,166.02819 -77.918212,166.02819 -77.9130925,166.02819 -77.907973,166.02819 -77.9028535,166.02819 -77.897734,166.02819 -77.8926145,166.02819 -77.887495))"], "date_created": "Tue, 24 Jul 2018 00:00:00 GMT", "description": "Over 2 Austral summer periods in 2015/6 and 2016/17, up to 12 geodetic GPS receivers were deployed on the McMurdo Ice Shelf to study its vertical deflection in response to moving meltwater loads. (5 GPS were deployed in 2015/16, 12 in 2016/17.) The GPS receivers and antennas were supplied by UNAVCO and were Trimble NetR9\u2019s and Zephyr Geodetic, respectively. The GPS receivers were stationary for the entire field seasons (were never moved). Following each field season, the GPS data were processed using MIT software called TRACK, which is part of the GAMIT package. The UNAVCO-run base station at McMurdo Station, approximately 16 km away from the field area, was used as part of the processing.", "east": 166.28263, "geometry": ["POINT(166.15541 -77.9130925)"], "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; GPS; Ice Flow Velocity; Ice Shelf; Ice-Shelf Flexure; Snow/ice; Snow/Ice; Surface Melt", "locations": "Antarctica", "north": -77.887495, "nsf_funding_programs": "Antarctic Glaciology", "persons": "MacAyeal, Douglas; Banwell, Alison", "project_titles": "Impact of Supraglacial Lakes on Ice-Shelf Stability", "projects": [{"proj_uid": "p0000138", "repository": "USAP-DC", "title": "Impact of Supraglacial Lakes on Ice-Shelf Stability"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.93869, "title": "McMurdo Ice Shelf GPS survey of vertical motion", "uid": "601107", "west": 166.02819}, {"awards": "1043580 Reusch, David", "bounds_geometry": null, "date_created": "Tue, 10 Jan 2017 00:00:00 GMT", "description": null, "east": null, "geometry": null, "keywords": "Antarctica; Atmosphere; Atmospheric Model; Climate Model; Meteorology; Paleoclimate", "locations": "Antarctica", "north": null, "nsf_funding_programs": null, "persons": "Reusch, David", "project_titles": "Collaborative Research: Decoding \u0026 Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs", "projects": [{"proj_uid": "p0000447", "repository": "USAP-DC", "title": "Collaborative Research: Decoding \u0026 Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Decoding \u0026 Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs", "uid": "600386", "west": null}, {"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": "1043580 Reusch, David", "bounds_geometry": ["POLYGON((-180 -47,-144 -47,-108 -47,-72 -47,-36 -47,0 -47,36 -47,72 -47,108 -47,144 -47,180 -47,180 -51.3,180 -55.6,180 -59.9,180 -64.2,180 -68.5,180 -72.8,180 -77.1,180 -81.4,180 -85.7,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.7,-180 -81.4,-180 -77.1,-180 -72.8,-180 -68.5,-180 -64.2,-180 -59.9,-180 -55.6,-180 -51.3,-180 -47))"], "date_created": "Fri, 01 Jan 2016 00:00:00 GMT", "description": "The presence of ice ponds from surface melting of glacial ice can be a significant threshold in assessing the stability of ice sheets, and their overall response to a warming climate. Snow melt has a much reduced albedo, leading to additional seasonal melting from warming insolation. Water run-off not only contributes to the mass loss of ice sheets directly, but meltwater reaching the glacial ice bed may lubricate faster flow of ice sheets towards the ocean. Surficial meltwater may also reach the grounding lines of glacial ice through the wedging open of existing crevasses. The occurrence and amount of meltwater refreeze has even been suggested as a paleo proxy of near-surface atmospheric temperature regimes.\nUsing contemporary remote sensing (microwave) satellite assessment of surface melt occurrence and extent, the predictive skill of regional meteorological models and reanalyses (e.g. WRF, ERA-Interim) to describe the synoptic conditions favourable to surficial melt is to be investigated. Statistical approaches and pattern recognition techniques are argued to provide a context for projecting future ice sheet change.\nThe previous Intergovernmental Panel on Climate Change (IPCC AR4) commented on our lack of understanding of ice-sheet mass balance processes in polar regions and the potential for sea-level change. The IPPC suggested that the forthcoming AR5 efforts highlight regional cryosphere modeling efforts, such as is proposed here.", "east": 180.0, "geometry": ["POINT(0 -89.999)"], "keywords": "Antarctica; Atmosphere; Climate Model; Meteorology; Surface Melt", "locations": "Antarctica", "north": -47.0, "nsf_funding_programs": null, "persons": "Reusch, David", "project_titles": "Collaborative Research: Decoding \u0026 Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs", "projects": [{"proj_uid": "p0000447", "repository": "USAP-DC", "title": "Collaborative Research: Decoding \u0026 Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Decoding \u0026 Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs", "uid": "600166", "west": -180.0}, {"awards": "1141973 Tedesco, Marco", "bounds_geometry": ["POLYGON((-94.7374 -56.9464,-89.23679 -56.9464,-83.73618 -56.9464,-78.23557 -56.9464,-72.73496 -56.9464,-67.23435 -56.9464,-61.73374 -56.9464,-56.23313 -56.9464,-50.73252 -56.9464,-45.23191 -56.9464,-39.7313 -56.9464,-39.7313 -59.19838,-39.7313 -61.45036,-39.7313 -63.70234,-39.7313 -65.95432,-39.7313 -68.2063,-39.7313 -70.45828,-39.7313 -72.71026,-39.7313 -74.96224,-39.7313 -77.21422,-39.7313 -79.4662,-45.23191 -79.4662,-50.73252 -79.4662,-56.23313 -79.4662,-61.73374 -79.4662,-67.23435 -79.4662,-72.73496 -79.4662,-78.23557 -79.4662,-83.73618 -79.4662,-89.23679 -79.4662,-94.7374 -79.4662,-94.7374 -77.21422,-94.7374 -74.96224,-94.7374 -72.71026,-94.7374 -70.45828,-94.7374 -68.2063,-94.7374 -65.95432,-94.7374 -63.70234,-94.7374 -61.45036,-94.7374 -59.19838,-94.7374 -56.9464))"], "date_created": "Fri, 01 Jan 2016 00:00:00 GMT", "description": "This award supports a project to generate first-time validated enhanced spatial resolution (5-10 km) maps of surface melting over the Antarctic Peninsula for the period 1958 - to date from the outputs of a regional climate model and different downscaling techniques. These maps will be assessed and validated through new high spatial resolution (2.25 km) surface melting maps obtained from the QuikSCAT satellite for the period 1999 - 2009. The intellectual merit of this work is that it would be the first time that the outputs of a regional climate model would be used to study surface melting over Antarctica at such high spatial resolution and the first time that such results are validated by means of an observational tool that has such a large spatial coverage and high spatial resolution. The results generated in this study would also provide a first-time opportunity to study the melt distribution over the Peninsula and its correlation with climate drivers, such as the Southern Annual Mode (SAM) and the El Nino-Southern Oscillation (ENSO) at these unprecedented spatial scales. The enhanced resolution melting maps will also offer a unique opportunity to study melting trends and patterns over specific regions of the Peninsula, such as the Wilkins and the Larsen A and B ice shelves and evaluate whether the extreme melting observed during the recent collapses was unprecedented over the + 50 years. The broader impacts of the project are that it will integrate research and education by fully supporting one female undergrad student, a PhD student and partially supporting a PostDoc. The work will be done at a minority-serving institution and the PhD student who worked on the development of the high-resolution melting data set from QuikSCAT will become the PostDoc who will work on this project. Teaching and learning will be supported by incorporating research results into graduate and undergrad level courses and will be disseminated over the web and through appropriate channels. Results from this project will also benefit the society at large as they will improve our understanding of the links between atmospheric patterns and surface melting and they will contribute to improving estimates of sea level rise from the Antarctica continent.", "east": -39.7313, "geometry": ["POINT(-67.23435 -68.2063)"], "keywords": "Antarctica; Atmosphere; Climate; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Meteorology; Model", "locations": "Antarctica", "north": -56.9464, "nsf_funding_programs": null, "persons": "Tedesco, Marco", "project_titles": "Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations", "projects": [{"proj_uid": "p0000313", "repository": "USAP-DC", "title": "Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -79.4662, "title": "Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations", "uid": "600160", "west": -94.7374}, {"awards": "0944248 MacAyeal, Douglas", "bounds_geometry": ["POLYGON((-63 -63,-62.2 -63,-61.4 -63,-60.6 -63,-59.8 -63,-59 -63,-58.2 -63,-57.4 -63,-56.6 -63,-55.8 -63,-55 -63,-55 -63.4,-55 -63.8,-55 -64.2,-55 -64.6,-55 -65,-55 -65.4,-55 -65.8,-55 -66.2,-55 -66.6,-55 -67,-55.8 -67,-56.6 -67,-57.4 -67,-58.2 -67,-59 -67,-59.8 -67,-60.6 -67,-61.4 -67,-62.2 -67,-63 -67,-63 -66.6,-63 -66.2,-63 -65.8,-63 -65.4,-63 -65,-63 -64.6,-63 -64.2,-63 -63.8,-63 -63.4,-63 -63))"], "date_created": "Tue, 29 Apr 2014 00:00:00 GMT", "description": "This data set addresses why surface melt water lakes on ice shelves and ice sheets are notably influential in triggering ice-shelf break-up and modulating seasonal ice flow, and are thus principle avenues by which environmental change can be transmitted to the ice sheets of Antarctica and Greenland. A comparative analysis is performed of lake geometry and derived depth (using Landsat image reflectance) in two distinct regions, one a collapsing ice shelf and the other an ablation zone of a land terminating ice sheet, to better characterize the range of surface lake variability.", "east": -55.0, "geometry": ["POINT(-59 -65)"], "keywords": "Antarctica; Antarctic Peninsula; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Larsen B Ice Shelf; Sample/collection Description; Sample/Collection Description; Supraglacial Meltwater", "locations": "Antarctica; Larsen B Ice Shelf; Antarctic Peninsula", "north": -63.0, "nsf_funding_programs": "Antarctic Glaciology", "persons": "MacAyeal, Douglas", "project_titles": "Model Studies of Surface Water Behavior on Ice Shelves", "projects": [{"proj_uid": "p0000052", "repository": "USAP-DC", "title": "Model Studies of Surface Water Behavior on Ice Shelves"}], "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -67.0, "title": "Standing Water Depth on Larsen B Ice Shelf", "uid": "609584", "west": -63.0}]
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Dataset Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Project Links | Abstract | Bounds Geometry | Geometry | Selected | Visible |
---|---|---|---|---|---|---|---|---|---|
Thermogenic Methane Production in Antarctic Subglacial Hydrocarbon Seeps
|
2423761 2042495 |
2025-03-17 | Piccione, Gavin |
EAGER: Pedogenic Carbonates Record Insolation Driven Surface Melting in Antarctica Collaborative Research: Reconstructing East Antarctica’s Past Response to Climate using Subglacial Precipitates |
This dataset includes geochemical analyses of carbonate nodules collected at Elephant Moraine and the Pensacola Mountains, East Antarctica. Oxygen and uranium-series isotope analyses indicate that these carbonates precipitated from glacial meltwater during deglacial periods in the late Pleistocene. Carbonate δ13C values as low as -32.75 ‰ identify thermogenic methane as a primary carbon source, while clumped isotope measurements indicate formation temperatures of 12 - 20˚C, consistent with a geothermal origin. Lipid biomarker analyses further show that organic matter preserved in the nodules is highly thermally matured. These findings indicate that deep-sourced thermogenic methane migrated as hydrocarbon seeps to shallow pore spaces within basal sediments, demonstrating that geothermally active areas can be hotspots for methane accumulation below the Antarctic Ice Sheet. This material is based on services provided by the Polar Rock Repository with support from the National Science Foundation, under Cooperative Agreement OPP-2137467. | ["POLYGON((-180 -75,-144 -75,-108 -75,-72 -75,-36 -75,0 -75,36 -75,72 -75,108 -75,144 -75,180 -75,180 -76.5,180 -78,180 -79.5,180 -81,180 -82.5,180 -84,180 -85.5,180 -87,180 -88.5,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -88.5,-180 -87,-180 -85.5,-180 -84,-180 -82.5,-180 -81,-180 -79.5,-180 -78,-180 -76.5,-180 -75))"] | ["POINT(0 -89.999)"] | false | false |
Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications
|
2136938 |
2024-10-07 | Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; Lütjens, Björn; Tedesco, Marco |
Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning |
This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Albers equal area projection; EPSG 9822) over Helheim Glacier and surrounding areas in Greenland. The data is used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately. <br/><br/> <br/><br/>The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Modéle Atmosphérique Règional (MAR) regional climate model, spectral reflectance in four wavelength bands from the Moderate Resolution Imaging Spectroradiometer (MODIS), a static digital elevation model (DEM), and an ice sheet mask. <br/><br/>A similar dataset has also been produced for Larsen C ice shelf and is also available through the US Antarctic Program Data Center. <br/><br/> <br/><br/> <br/><br/> | ["POLYGON((-40 67.55,-39.611 67.55,-39.222 67.55,-38.833 67.55,-38.444 67.55,-38.055 67.55,-37.666 67.55,-37.277 67.55,-36.888 67.55,-36.499 67.55,-36.11 67.55,-36.11 67.28999999999999,-36.11 67.03,-36.11 66.77,-36.11 66.51,-36.11 66.25,-36.11 65.99,-36.11 65.73,-36.11 65.47,-36.11 65.21000000000001,-36.11 64.95,-36.499 64.95,-36.888 64.95,-37.277 64.95,-37.666 64.95,-38.055 64.95,-38.444 64.95,-38.833 64.95,-39.222 64.95,-39.611 64.95,-40 64.95,-40 65.21000000000001,-40 65.47,-40 65.73,-40 65.99,-40 66.25,-40 66.51,-40 66.77,-40 67.03,-40 67.28999999999999,-40 67.55))"] | ["POINT(-38.055 66.25)"] | false | false |
Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications
|
2136938 |
2024-10-07 | Alexander, Patrick; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier; Lütjens, Björn; Tedesco, Marco |
Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning |
This dataset contains high-resolution satellite-derived snow/ice surface melt-related data on a common 100 m equal area grid (Lambert azimuthal equal area projection; EPSG 9820) over Larsen C Ice Shelf and surrounding areas in Antarctica. The data is prepared to be used as part of a machine learning framework that aims to fill data gaps in computed meltwater fraction on the 100 m grid using a range of methods, results of which will be published separately. <br/><br/><br/>The data include fraction of a grid cell covered by meltwater derived from Sentinel-1 synthetic aperture radar (SAR) backscatter, satellite-derived passive microwave (PMW) brightness temperatures, snowpack liquid water content within the first meter of snow and atmospheric and radiative variables from the Modéle Atmosphérique Règional (MAR) regional climate model, a static digital elevation model (DEM), and an ice sheet mask. <br/><br/><br/>A similar dataset has been produced for Helheim Glacier, Greenland and is also available through the US Antarctic Program Data Center. | ["POLYGON((-68.5 -65.25,-67.35 -65.25,-66.2 -65.25,-65.05 -65.25,-63.9 -65.25,-62.75 -65.25,-61.6 -65.25,-60.45 -65.25,-59.3 -65.25,-58.15 -65.25,-57 -65.25,-57 -65.652,-57 -66.054,-57 -66.456,-57 -66.858,-57 -67.25999999999999,-57 -67.66199999999999,-57 -68.064,-57 -68.466,-57 -68.868,-57 -69.27,-58.15 -69.27,-59.3 -69.27,-60.45 -69.27,-61.6 -69.27,-62.75 -69.27,-63.9 -69.27,-65.05 -69.27,-66.2 -69.27,-67.35 -69.27,-68.5 -69.27,-68.5 -68.868,-68.5 -68.466,-68.5 -68.064,-68.5 -67.66199999999999,-68.5 -67.25999999999999,-68.5 -66.858,-68.5 -66.456,-68.5 -66.054,-68.5 -65.652,-68.5 -65.25))"] | ["POINT(-62.75 -67.25999999999999)"] | false | false |
Dataset for: Banwell et al. 2024, 'Observed meltwater-induced flexure and fracture at a doline on George VI Ice Shelf, Antarctica', Journal of Glaciology.
|
1841467 1841607 |
2024-03-20 | Banwell, Alison; Willis, Ian; Stevens, Laura; Dell, Rebecca; MacAyeal, Douglas |
NSFGEO-NERC: Ice-shelf Instability Caused by Active Surface Meltwater Production, Movement, Ponding and Hydrofracture |
This dataset contains all of the field data (GNSS, weather station data, timelapse camera images) used in the publication 'Banwell et al., 2024', which documents observations of surface meltwater-induced flexure and fracture at a doline on north George VI Ice Shelf, Antarctic Peninsula. | ["POLYGON((-68.28 -71.1,-68.202 -71.1,-68.124 -71.1,-68.046 -71.1,-67.968 -71.1,-67.89 -71.1,-67.812 -71.1,-67.734 -71.1,-67.656 -71.1,-67.578 -71.1,-67.5 -71.1,-67.5 -71.14999999999999,-67.5 -71.19999999999999,-67.5 -71.25,-67.5 -71.3,-67.5 -71.35,-67.5 -71.39999999999999,-67.5 -71.44999999999999,-67.5 -71.5,-67.5 -71.55,-67.5 -71.6,-67.578 -71.6,-67.656 -71.6,-67.734 -71.6,-67.812 -71.6,-67.89 -71.6,-67.968 -71.6,-68.046 -71.6,-68.124 -71.6,-68.202 -71.6,-68.28 -71.6,-68.28 -71.55,-68.28 -71.5,-68.28 -71.44999999999999,-68.28 -71.39999999999999,-68.28 -71.35,-68.28 -71.3,-68.28 -71.25,-68.28 -71.19999999999999,-68.28 -71.14999999999999,-68.28 -71.1))"] | ["POINT(-67.89 -71.35)"] | false | false |
Crane Glacier centerline observations and modeling results
|
1933764 |
2022-10-24 | Aberle, Rainey; Enderlin, Ellyn; Marshall, Hans-Peter; Kopera, Michal; Meehan, Tate |
Antarctic Submarine Melt Variability from Remote Sensing of Icebergs |
This dataset contains observed and modeled conditions along the Crane Glacier centerline for ~1994—2100. Observations include centerline (cl) coordinates, downscaled RACMO climate variables (runoff, snowfall, snowmelt, and surface mass balance), bed elevations (b), surface elevations (h), glacier width (W), calving front positions (xcf), and surface speeds (U) when available for the 1994—2019 period. Modeling results include glacier centerline geometry, speed, glacier mass discharge (Q_gl), and calving front and grounding line positions (x_cf and x_gl) under different future climate scenarios with varying surface mass balance (SMB), ocean thermal forcing (FT), SMB with potential feedbacks associated with enhanced surface melt water discharge and plume strengthening (SMB_enh), and concurrent SMB_enh and FT perturbations (SMB_enh_FT). Data are in “.mat” format, which can be read using MATLAB’s “load” function or using Python with the Scipy “scipy.io.loadmat” function. | ["POLYGON((-63.1 -65.2,-62.99 -65.2,-62.88 -65.2,-62.77 -65.2,-62.660000000000004 -65.2,-62.55 -65.2,-62.44 -65.2,-62.33 -65.2,-62.22 -65.2,-62.11 -65.2,-62 -65.2,-62 -65.24000000000001,-62 -65.28,-62 -65.32,-62 -65.36,-62 -65.4,-62 -65.44,-62 -65.47999999999999,-62 -65.52,-62 -65.56,-62 -65.6,-62.11 -65.6,-62.22 -65.6,-62.33 -65.6,-62.44 -65.6,-62.55 -65.6,-62.660000000000004 -65.6,-62.77 -65.6,-62.88 -65.6,-62.99 -65.6,-63.1 -65.6,-63.1 -65.56,-63.1 -65.52,-63.1 -65.47999999999999,-63.1 -65.44,-63.1 -65.4,-63.1 -65.36,-63.1 -65.32,-63.1 -65.28,-63.1 -65.24000000000001,-63.1 -65.2))"] | ["POINT(-62.55 -65.4)"] | false | false |
Antarctic passive microwave Kmeans derived surface melt days, 1979-2020
|
1543432 |
2021-06-22 | Johnson, Andrew; Hock, Regine; Fahnestock, Mark |
Collaborative Research: Present and Projected Future Forcings on Antarctic Peninsula Glaciers and Ice Shelves using the Weather Forecasting and Research (WRF) Model |
This dataset contains the total number of days per year with meltwater present at the surface across the Antarctic ice sheet and surrounding ice shelves derived from passive microwave satellite observations for each melt year from 1979/80 to 2019/20. This data comes from daily and near-daily SMMR, SSM/I, and SSMIS results at 25 km resolution at 19 GHz horizontal polarization. Each melt year starts on July 1 and ends June 30. The melt detection algorithm is described in Johnson and others (2020) and uses KMeans clustering analysis of the annual brightness temperature time series on each pixel to detect melt for that pixel and year. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Supraglacial Lakes in Antarctica
|
1643715 |
2020-12-10 | Moussavi, Mahsa; Pope, Allen; Trusel, Luke; Abdalati, Waleed; Halberstadt, Anna Ruth |
Collaborative Research: Water on the Antarctic Ice Sheet: Quantifying Surface Melt and Mapping Supraglacial Lakes |
This dataset contains extents and depths of supraglacial lakes on ice shelves across the Antarctic ice sheet, mapped from Landsat 8 imagery collected over the 2013-2020 period. | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture
|
1743310 |
2020-10-24 | Lai, Ching-Yao |
Satellite observations and modelling of surface meltwater flow and its impact on ice shelves |
This data set contains the results presented in Lai et al. (2020), including; the 125m-resolution fracture map, the spatial distribution of fracture depths and the required initial flaw size for hydrofracture, which is calculated using linear elastic fracture mechanics (LEFM) according to the ice-shelf stress fields and thickness. The dimensionless stress (Rxx_bar, defined in Lai et al. (2020)) governs how fractures behave. Using a dimensionless stress criteria we have determined which ice-shelf areas are vulnerable to hydrofracture if inundated with melt water (Rxx_bar >Rxx*_bar). | ["POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))"] | ["POINT(0 -89.999)"] | false | false |
Report on Antarctic surface hydrology workshop, LDEO, 2018
|
1743326 |
2019-03-22 | Kingslake, Jonathan; Trusel, Luke; Banwell, Alison; Bell, Robin; Das, Indrani; DeConto, Robert; Tedesco, Marco; Lenaerts, Jan; Schoof, Christian |
Workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability |
In February 2018, we hosted a workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability at Lamont-Doherty Earth Observatory, Palisades, New York. Funding for the workshop was provided by the U.S. National Science Foundation (NSF) Antarctic Glaciology Program (award number: 1743326). The aims of the workshop were to: (1) establish the state-of-the-science of Antarctic surface hydrology; (2) identify key science questions raised by observations and theoretical studies of Antarctic surface hydrology, and (3) move the community toward answering these questions by bringing together scientists with diverse expertise. The workshop was motivated by the premise that significant gains in our understanding can be made if researchers with interests in this field are provided with an opportunity to communicate and develop collaborations across disciplines. Here we report on the organisation, attendance, and structure of the workshop, before summarizing key science outcomes, research questions, and future priorities that emerged during the workshop within the following four themes: 1. Surface melting: controls and observations 2. Water ponding and flow 3. Impact of meltwater on ice-shelf stability 4. Ice-sheet/climate modeling Finally, building on the emergent science questions, we propose a framework for prioritizing future work, aimed at understanding and predicting the impact that surface meltwater will have on future Antarctic Ice Sheet mass balance. | [] | [] | false | false |
Time-lapse video of McMurdo Ice Shelf surface melting and hydrology
|
1443126 |
2018-08-31 | MacAyeal, Douglas; Banwell, Alison |
Impact of Supraglacial Lakes on Ice-Shelf Stability |
During the Austral summer melt season of 2016-2017, an automatic camera was placed overlooking a surface lake feature on the McMurdo Ice Shelf. This camera created a time-lapse video (30 minute photograph time intervals) used to observe the filling and draining of the lake called Rift-Tip Lake located approximately 2 km from the McMurdo Ice Shelf ice front. The data was used in support of a field project to measure the flexural response of the McMurdo Ice Shelf (and ice shelves in general) to the filling and draining of supraglacial lakes. The time-lapse video begins 16 November 2016 and ends 27 January 2017. | ["POLYGON((166.152184 -77.902339,166.1559273 -77.902339,166.1596706 -77.902339,166.1634139 -77.902339,166.1671572 -77.902339,166.1709005 -77.902339,166.1746438 -77.902339,166.1783871 -77.902339,166.1821304 -77.902339,166.1858737 -77.902339,166.189617 -77.902339,166.189617 -77.9026372,166.189617 -77.9029354,166.189617 -77.9032336,166.189617 -77.9035318,166.189617 -77.90383,166.189617 -77.9041282,166.189617 -77.9044264,166.189617 -77.9047246,166.189617 -77.9050228,166.189617 -77.905321,166.1858737 -77.905321,166.1821304 -77.905321,166.1783871 -77.905321,166.1746438 -77.905321,166.1709005 -77.905321,166.1671572 -77.905321,166.1634139 -77.905321,166.1596706 -77.905321,166.1559273 -77.905321,166.152184 -77.905321,166.152184 -77.9050228,166.152184 -77.9047246,166.152184 -77.9044264,166.152184 -77.9041282,166.152184 -77.90383,166.152184 -77.9035318,166.152184 -77.9032336,166.152184 -77.9029354,166.152184 -77.9026372,166.152184 -77.902339))"] | ["POINT(166.1709005 -77.90383)"] | false | false |
McMurdo Ice Shelf GPS survey of vertical motion
|
1443126 |
2018-07-24 | MacAyeal, Douglas; Banwell, Alison |
Impact of Supraglacial Lakes on Ice-Shelf Stability |
Over 2 Austral summer periods in 2015/6 and 2016/17, up to 12 geodetic GPS receivers were deployed on the McMurdo Ice Shelf to study its vertical deflection in response to moving meltwater loads. (5 GPS were deployed in 2015/16, 12 in 2016/17.) The GPS receivers and antennas were supplied by UNAVCO and were Trimble NetR9’s and Zephyr Geodetic, respectively. The GPS receivers were stationary for the entire field seasons (were never moved). Following each field season, the GPS data were processed using MIT software called TRACK, which is part of the GAMIT package. The UNAVCO-run base station at McMurdo Station, approximately 16 km away from the field area, was used as part of the processing. | ["POLYGON((166.02819 -77.887495,166.053634 -77.887495,166.079078 -77.887495,166.104522 -77.887495,166.129966 -77.887495,166.15541 -77.887495,166.180854 -77.887495,166.206298 -77.887495,166.231742 -77.887495,166.257186 -77.887495,166.28263 -77.887495,166.28263 -77.8926145,166.28263 -77.897734,166.28263 -77.9028535,166.28263 -77.907973,166.28263 -77.9130925,166.28263 -77.918212,166.28263 -77.9233315,166.28263 -77.928451,166.28263 -77.9335705,166.28263 -77.93869,166.257186 -77.93869,166.231742 -77.93869,166.206298 -77.93869,166.180854 -77.93869,166.15541 -77.93869,166.129966 -77.93869,166.104522 -77.93869,166.079078 -77.93869,166.053634 -77.93869,166.02819 -77.93869,166.02819 -77.9335705,166.02819 -77.928451,166.02819 -77.9233315,166.02819 -77.918212,166.02819 -77.9130925,166.02819 -77.907973,166.02819 -77.9028535,166.02819 -77.897734,166.02819 -77.8926145,166.02819 -77.887495))"] | ["POINT(166.15541 -77.9130925)"] | false | false |
Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs
|
1043580 |
2017-01-10 | Reusch, David |
Collaborative Research: Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
None | [] | [] | 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 |
Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs
|
1043580 |
2016-01-01 | Reusch, David |
Collaborative Research: Decoding & Predicting Antarctic Surface Melt Dynamics with Observations, Regional Atmospheric Modeling and GCMs |
The presence of ice ponds from surface melting of glacial ice can be a significant threshold in assessing the stability of ice sheets, and their overall response to a warming climate. Snow melt has a much reduced albedo, leading to additional seasonal melting from warming insolation. Water run-off not only contributes to the mass loss of ice sheets directly, but meltwater reaching the glacial ice bed may lubricate faster flow of ice sheets towards the ocean. Surficial meltwater may also reach the grounding lines of glacial ice through the wedging open of existing crevasses. The occurrence and amount of meltwater refreeze has even been suggested as a paleo proxy of near-surface atmospheric temperature regimes. Using contemporary remote sensing (microwave) satellite assessment of surface melt occurrence and extent, the predictive skill of regional meteorological models and reanalyses (e.g. WRF, ERA-Interim) to describe the synoptic conditions favourable to surficial melt is to be investigated. Statistical approaches and pattern recognition techniques are argued to provide a context for projecting future ice sheet change. The previous Intergovernmental Panel on Climate Change (IPCC AR4) commented on our lack of understanding of ice-sheet mass balance processes in polar regions and the potential for sea-level change. The IPPC suggested that the forthcoming AR5 efforts highlight regional cryosphere modeling efforts, such as is proposed here. | ["POLYGON((-180 -47,-144 -47,-108 -47,-72 -47,-36 -47,0 -47,36 -47,72 -47,108 -47,144 -47,180 -47,180 -51.3,180 -55.6,180 -59.9,180 -64.2,180 -68.5,180 -72.8,180 -77.1,180 -81.4,180 -85.7,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -85.7,-180 -81.4,-180 -77.1,-180 -72.8,-180 -68.5,-180 -64.2,-180 -59.9,-180 -55.6,-180 -51.3,-180 -47))"] | ["POINT(0 -89.999)"] | false | false |
Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations
|
1141973 |
2016-01-01 | Tedesco, Marco |
Enhanced Spatial Resolution Surface Melting over the Antarctic Peninsula (1958 - to date) from a Regional Climate Model Validated through Remote Sensing Observations |
This award supports a project to generate first-time validated enhanced spatial resolution (5-10 km) maps of surface melting over the Antarctic Peninsula for the period 1958 - to date from the outputs of a regional climate model and different downscaling techniques. These maps will be assessed and validated through new high spatial resolution (2.25 km) surface melting maps obtained from the QuikSCAT satellite for the period 1999 - 2009. The intellectual merit of this work is that it would be the first time that the outputs of a regional climate model would be used to study surface melting over Antarctica at such high spatial resolution and the first time that such results are validated by means of an observational tool that has such a large spatial coverage and high spatial resolution. The results generated in this study would also provide a first-time opportunity to study the melt distribution over the Peninsula and its correlation with climate drivers, such as the Southern Annual Mode (SAM) and the El Nino-Southern Oscillation (ENSO) at these unprecedented spatial scales. The enhanced resolution melting maps will also offer a unique opportunity to study melting trends and patterns over specific regions of the Peninsula, such as the Wilkins and the Larsen A and B ice shelves and evaluate whether the extreme melting observed during the recent collapses was unprecedented over the + 50 years. The broader impacts of the project are that it will integrate research and education by fully supporting one female undergrad student, a PhD student and partially supporting a PostDoc. The work will be done at a minority-serving institution and the PhD student who worked on the development of the high-resolution melting data set from QuikSCAT will become the PostDoc who will work on this project. Teaching and learning will be supported by incorporating research results into graduate and undergrad level courses and will be disseminated over the web and through appropriate channels. Results from this project will also benefit the society at large as they will improve our understanding of the links between atmospheric patterns and surface melting and they will contribute to improving estimates of sea level rise from the Antarctica continent. | ["POLYGON((-94.7374 -56.9464,-89.23679 -56.9464,-83.73618 -56.9464,-78.23557 -56.9464,-72.73496 -56.9464,-67.23435 -56.9464,-61.73374 -56.9464,-56.23313 -56.9464,-50.73252 -56.9464,-45.23191 -56.9464,-39.7313 -56.9464,-39.7313 -59.19838,-39.7313 -61.45036,-39.7313 -63.70234,-39.7313 -65.95432,-39.7313 -68.2063,-39.7313 -70.45828,-39.7313 -72.71026,-39.7313 -74.96224,-39.7313 -77.21422,-39.7313 -79.4662,-45.23191 -79.4662,-50.73252 -79.4662,-56.23313 -79.4662,-61.73374 -79.4662,-67.23435 -79.4662,-72.73496 -79.4662,-78.23557 -79.4662,-83.73618 -79.4662,-89.23679 -79.4662,-94.7374 -79.4662,-94.7374 -77.21422,-94.7374 -74.96224,-94.7374 -72.71026,-94.7374 -70.45828,-94.7374 -68.2063,-94.7374 -65.95432,-94.7374 -63.70234,-94.7374 -61.45036,-94.7374 -59.19838,-94.7374 -56.9464))"] | ["POINT(-67.23435 -68.2063)"] | false | false |
Standing Water Depth on Larsen B Ice Shelf
|
0944248 |
2014-04-29 | MacAyeal, Douglas |
Model Studies of Surface Water Behavior on Ice Shelves |
This data set addresses why surface melt water lakes on ice shelves and ice sheets are notably influential in triggering ice-shelf break-up and modulating seasonal ice flow, and are thus principle avenues by which environmental change can be transmitted to the ice sheets of Antarctica and Greenland. A comparative analysis is performed of lake geometry and derived depth (using Landsat image reflectance) in two distinct regions, one a collapsing ice shelf and the other an ablation zone of a land terminating ice sheet, to better characterize the range of surface lake variability. | ["POLYGON((-63 -63,-62.2 -63,-61.4 -63,-60.6 -63,-59.8 -63,-59 -63,-58.2 -63,-57.4 -63,-56.6 -63,-55.8 -63,-55 -63,-55 -63.4,-55 -63.8,-55 -64.2,-55 -64.6,-55 -65,-55 -65.4,-55 -65.8,-55 -66.2,-55 -66.6,-55 -67,-55.8 -67,-56.6 -67,-57.4 -67,-58.2 -67,-59 -67,-59.8 -67,-60.6 -67,-61.4 -67,-62.2 -67,-63 -67,-63 -66.6,-63 -66.2,-63 -65.8,-63 -65.4,-63 -65,-63 -64.6,-63 -64.2,-63 -63.8,-63 -63.4,-63 -63))"] | ["POINT(-59 -65)"] | false | false |