3cf1915a-70b2-4675-b3e3-6b7c38307283 eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2026-01-07 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Supraglacial lake and channel depth on the Greenland ice sheet generated using the SHEDv1.0 model 2026-01-07 creation 2026-01-07 revision 2026-01-07 publication 2026-01-07 released 1 3cf1915a-70b2-4675-b3e3-6b7c38307283 uuid GB/NERC/BAS/PDC/02132 https://data.bas.ac.uk/ Please cite this item as: None This dataset contains spatially and temporally resolved outputs describing supraglacial hydrology on the southwest Greenland Ice Sheet for the period 2015-2019. The data include gridded fields of surface meltwater routing, supraglacial lake extent and volume, lake drainage events (rapid and slow), and associated surface water fluxes at 100 m spatial resolution and daily temporal resolution. Outputs are derived from physically based simulations driven by climate model forcing, surface elevation data, and stress fields. The dataset has been evaluated against satellite-derived supraglacial lake observations and in situ proglacial discharge measurements, showing good agreement in lake distribution, seasonal evolution, and discharge magnitude. These data support analyses of surface meltwater storage and transfer across the ice surface and provide inputs for studies of ice-sheet hydrology and dynamics. No credit. completed Leeson, Amber Lancaster University Researcher author Gantayat, Prateek Lancaster University Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Ice Sheets EARTH SCIENCE > Cryosphere > Snow/Ice > Ice Growth/Melt EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Ice Sheets EARTH SCIENCE > Hydrosphere > Snow/Ice > Ice Growth/Melt theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Greenland hydrology supraglacial theme Russell Glacier, Southwest Greenland Arctic place Elevation Meteorological geographical features Hydrography theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Creative Commons Attribution 4.0 International otherRestrictions Creative Commons Attribution 4.0 International license otherRestrictions The model code and forcing data needed to generate the model output are hosted on gitlab and zenodo (see 'Data Storage' for links). textTable eng utf8 environment -52.0 -44.0 64.5 69.0 2015-01-01 2019-12-31 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor bytes 1 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: This data can be produced using a high-resolution (100 m, daily timestep) physically based hydrology model comprising four modules: supraglacial routing and lake-filling, hydrofracture, slow lake drainage (overtopping), and lake refreezing. Meltwater routing is simulated using a DEM-based flow-path algorithm; hydrofracture using linear elastic fracture mechanics; slow drainage via channel incision parameterization; and refreezing with an energy-balance approach. We provide the data to run the model over three distinct catchments in southwest Greenland (regions 1-3) from 2015 to 2019. The model parameters (e.g., critical stress threshold, channel width) have been calibrated by comparing model output to satellite-observed lake areas and in situ discharge. Data collection: Key inputs include: - ArcticDEM (100 m surface elevation) - for hydrological routing and lake formation. - MAR v3.11 regional climate model output - daily surface runoff, snow depth/density, meteorological forcing (air temperature, humidity, wind, shortwave radiation) at approximately 6 km resolution. - Surface von Mises stress fields - for crevasse/hydrofracture initiation. - SHED v1.0 model code (Fortran-77). - Ancillary scripts and setup files for running SHED modules and post-processing. Data quality: The SHED v1.0 model has been evaluated against multiple independent observational datasets. Modelled supraglacial lake locations and temporal evolution were compared with lake extents derived from MODIS satellite imagery, showing that approximately 80 % of observed lake locations were reproduced and that seasonal lake area dynamics were captured with reasonable accuracy. In addition, simulated meltwater discharge routed from the supraglacial system was compared with in situ proglacial discharge measurements from southwest Greenland catchments, demonstrating good agreement in magnitude and seasonal timing, subject to expected delays due to the absence of an explicit subglacial hydrology component. Key model parameters were calibrated using one study region and subsequently applied to other regions to assess transferability. Uncertainties related to input data (e.g. DEM accuracy, climate model runoff) and simplified process representations remain, but overall validation results indicate the model is robust for simulating supraglacial hydrology and drainage at regional scales. asNeeded completed