ffd24dd7-e201-4a02-923f-038680bf7bb5 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 2018-03-22 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 Antarctic daily surface melt data estimated from SMMR, SSM/I, and SSMIS passive microwave observations, 1978-2016 2018-03-22 creation 2018-03-22 revision 2018-03-22 publication 2018-03-22 released None https://doi.org/10.5285/ffd24dd7-e201-4a02-923f-038680bf7bb5 doi GB/NERC/BAS/PDC/01074 https://data.bas.ac.uk/ Please cite this item as: Nicolas, J. (2018). Antarctic daily surface melt data estimated from SMMR, SSM/I, and SSMIS passive microwave observations, 1978-2016 (Version None) [Data set]. Polar Data Centre, Natural Environment Research Council, UK. https://doi.org/10.5285/ffd24dd7-e201-4a02-923f-038680bf7bb5 This dataset contains gridded daily surface melt data for Antarctica estimated from passive microwave observations from the Scanning Microwave Multichannel Radiometer (SMMR), the Special Sensor Microwave/Imager (SSM/I), and the Special Sensor Microwave Imager Sounder (SSMIS) spaceborne sensors and covering the 1978-2017 period. Also provided are the latitudes and longitudes of the grid and computed melt days for each austral summer (Dec-Jan-Feb) during the period. Funding was provided by NSF grants PLR 1341695 and PLR 1443443. No credit. completed Nicolas, Julien Byrd Polar and Climate Research Center, The Ohio State University Researcher author Bromwich, David Byrd Polar and Climate Research Center, The Ohio State 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 > Glaciers EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Ice Sheets EARTH SCIENCE > Cryosphere > Snow/Ice > Snow Melt EARTH SCIENCE > Spectral/Engineering > Microwave > Microwave Imagery 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 Melt Passive microwave SMMR SSMI theme Antarctica place Elevation Meteorological geographical features theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license This dataset is supplied under the Open Government Licence v3.0: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ otherRestrictions No restrictions apply. url url crossReference url url crossReference doi doi crossReference textTable eng utf8 climatologyMeteorologyAtmosphere environment -180.0 180.0 -90.0 -53.8 1978-10-25 2017-02-22 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 https://ramadda.data.bas.ac.uk/repository/entry/show/?entryid=ffd24dd7-e201-4a02-923f-038680bf7bb5 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Surface melt occurrence was estimated from brightness temperature (Tb) measurments from the following spaceborne sensors: - Scanning Microwave Multichannel Radiometer (SMMR) onboard the Nimbus-7 satellite (1978-1987); - Special Sensor Microwave/Imager (SSM/I) onboard successive satellites (F-8, F-11, and F13) from the Defense Meteorological Satellite Program (DMSP; 1987-2009); - Special Sensor Microwave Imager Sounder (SSMIS) onboard DMSP F-17 satellite (2006-present). The data were obtained from the National Snow and Ice Data Center on its South-Hemisphere Equal-Area Scalable Earth (EASE) Grid with a nominal resolution of 25 km, corresponding to NSIDC datasets 0071 (Armstrong et al., 1994) and 0032 (Knowles et al., 2000). To identify surface melt, we used horizontally polarized Tb data in the K-band (18 GHz for SMMR, 19 GHz for SSM/I-SSMIS). These data were available twice-daily (from the ascending and descending satellite passes). Data gaps were filled (only if they did not exceed one day) by linearly interpolating the data from the two adjacent days. This was particularly important for SMMR data, which are available only every other day. To ensure temporal consistency of the melt data across the various sensors, all SMMR and SSM/I data were calibrated with respect to SSMIS F-17 using the regression coefficients derived by Jezek et al. (1991), Abdalati et al. (1995), Stroeve et al. (1998), and Nicolas et al. (2017). The melt detection algorithm is similar to the one used by Nicolas et al. (2017). For a given grid cell and a given day, melt was identified as soon as one of the two daily Tb observations exceeded a threshold value (Tb melt) defined as Tb melt = Tb ref + deltaT, where deltaT = 30 K and Tb ref is a reference temperature. The value of deltaT was based on the work from Tedesco (2009). Tb ref was calculated as the 12-month average from 1 April-31 March after filtering out all melt days, as in Torinesi et al. (2003). The data are provided on a reduced 200 x 300 grid (referred to as 'es25r grid') that is a subset of NSIDC's original 721 x 721 25-km South-Hemisphere EASE Grid (https://nsidc.org/data/ease). In our es25r grid, the first row corresponds to row 257 of the original grid and the first column corresponds to column 251 of the original grid. The resolution is 25 x 25 km. The es25r grid covers the full range of longitudes (180°W to +180°E), and extends from the South Pole (90°S) to cover the Antarctic continent and ice shelves, with a Northern boundary at varying latitudes between 68.5°S and 53.8°S. Data collection: Instrumentation: SMMR - Scanning Microwave Multichannel Radiometer SSM/I - Special Sensor Microwave/Imager SSMIS - Special Sensor Microwave Imager Sounder Data quality: Uncertainties could not be estimated for this dataset. asNeeded completed