d8c66670-57ad-44fc-8fef-942a46734ecb 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 2022-02-28 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 Year-round Arctic sea ice thickness from CryoSat-2 Baseline-D Level 1b observations 2010-2020 2022-02-28 creation 2022-02-28 revision 2022-02-28 publication 2022-02-28 released 1.0 https://doi.org/10.5285/d8c66670-57ad-44fc-8fef-942a46734ecb doi GB/NERC/BAS/PDC/01613 https://data.bas.ac.uk/ NE/T000546/1 award Please cite this item as: Landy, J., & Dawson, G. (2022). Year-round Arctic sea ice thickness from CryoSat-2 Baseline-D Level 1b observations 2010-2020 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/d8c66670-57ad-44fc-8fef-942a46734ecb This dataset presents biweekly gridded sea ice thickness and uncertainty for the Arctic derived from the European Space Agency's satellite CryoSat-2. An associated 'developer's product' also includes intermediate parameters used or output in the sea ice thickness processing chain. Data are provided as biweekly grids with a resolution of 80 km, mapped onto a Northern Polar Stereographic Grid, covering the Arctic region north of 50 degrees latitude, for all months of the year between October 2010 and July 2020. CryoSat-2 Level 1b Baseline-D observed radar waveforms have been retracked using two different approaches, one for the 'cold season' months of October-April and the second for 'melting season' months of May-September. The cold season retracking algorithm uses a numerical model for the SAR altimeter backscattered echo from snow-covered sea ice presented in Landy et al. (2019), which offers a physical treatment of the effect of ice surface roughness on retracked ice and ocean elevations. The method for optimizing echo model fits to observed CryoSat-2 waveforms, retracking waveforms, classifying returns, and deriving sea ice radar freeboard are detailed in Landy et al. (2020). The melting season retracking algorithm uses the SAMOSA+ analytical echo model with optimization to observed CryoSat-2 waveforms through the SARvatore (SAR Versatile Altimetric Toolkit for Ocean Research and Exploitation) service available through ESA Grid Processing on Demand (GPOD). The method for classifying radar returns and deriving sea ice radar freeboard in the melting season are detailed in Dawson et al. (2022). The melting season sea ice radar freeboards require a correction for an electromagnetic range bias, as described in Landy et al. (2022). After applying the correction, year-round freeboards are converted to sea ice thickness using auxiliary satellite observations of the sea ice concentration and type, as well as snow depth and density estimates from a Lagrangian snow evolution scheme: SnowModel-LG (Stroeve et al., 2020; Liston et al., 2020). The sea ice thickness uncertainties have been estimated based on methods described in Landy et al. (2022). NetCDF files contain detailed descriptions of each parameter. Funding was provided by the NERC PRE-MELT grant NE/T000546/1 and the ESA Living Planet Fellowship Arctic-SummIT grant ESA/4000125582/18/I-NS. No credit. completed Landy, Jack University of Bristol Researcher author Dawson, Geoffrey University of Bristol 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 > Sea Ice > Ice Depth/Thickness EARTH SCIENCE > Cryosphere > Sea Ice > Ice Extent EARTH SCIENCE > Cryosphere > Sea Ice > Ice Growth/Melt EARTH SCIENCE > Cryosphere > Sea Ice > Ice Roughness EARTH SCIENCE > Cryosphere > Sea Ice > Ice Types EARTH SCIENCE > Cryosphere > Sea Ice > Leads EARTH SCIENCE > Cryosphere > Sea Ice > Sea Ice Concentration EARTH SCIENCE > Cryosphere > Sea Ice > Snow Depth EARTH SCIENCE > Cryosphere > Sea Ice > Snow Melt EARTH SCIENCE > Oceans > Sea Ice > Ice Depth/Thickness EARTH SCIENCE > Oceans > Sea Ice > Ice Extent EARTH SCIENCE > Oceans > Sea Ice > Ice Growth/Melt EARTH SCIENCE > Oceans > Sea Ice > Ice Roughness EARTH SCIENCE > Oceans > Sea Ice > Ice Types EARTH SCIENCE > Oceans > Sea Ice > Leads EARTH SCIENCE > Oceans > Sea Ice > Sea Ice Concentration EARTH SCIENCE > Oceans > Sea Ice > Snow Depth EARTH SCIENCE > Oceans > Sea Ice > Snow Melt EARTH SCIENCE > Cryosphere > Sea Ice EARTH SCIENCE > Oceans > Sea Ice 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 Arctic CryoSat-2 sea ice sea ice freeboard sea ice thickness theme Arctic Ocean Arctic place Oceanographic geographical features theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data supplied under Open Government Licence v3.0 Please cite the indicated publications if using this dataset. otherRestrictions No restrictions apply. doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference url url largerWorkCitation url url largerWorkCitation textTable eng utf8 climatologyMeteorologyAtmosphere elevation geoscientificInformation oceans -180.0 180.0 50.0 90.0 2010-10-01 2020-07-31 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 image/tiff application/x-hdf application/netcdf bytes 333237453 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d8c66670-57ad-44fc-8fef-942a46734ecb WWW:LINK-1.0-http--link Get Data Download data download bytes 333237453 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d8c66670-57ad-44fc-8fef-942a46734ecb WWW:LINK-1.0-http--link Get Data Download data download bytes 333237453 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d8c66670-57ad-44fc-8fef-942a46734ecb WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The data is derived from CryoSat-2 Baseline-D Level 1b waveform observations over the Arctic, north of 50 degrees latitude, for 2010 to 2020. Data collection: European Space Agency's CryoSat-2. Data quality: NetCDF files were produced from the final gridded satellite observations and contain all associated metadata, or details about auxiliary datasets used in the processor. No smoothing or averaging was performed on the 80-km gridded sea ice thickness data. NetCDF files contain detailed descriptions of each derived parameter, both in the main sea ice thickness and developer's products. asNeeded completed