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    <identifier>10.11922/sciencedb.00511</identifier>
    <datestamp>2021-01-06T08:06:24Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2021-01-06</dc:date>
  <dc:title>Sea Ice Concentration Products over Polar Regions with FY-3C/MWRI Data (2016-2019）</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.00511</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Polar sea ice affects atmospheric and ocean circulation and plays an important role in global climate change. Long-time-series sea ice concentration is an important parameter for climate research. Sea ice concentration (SIC) products over the Antarctic and Arctic in 2016-2019 were supplied based on the brightness temperature (Tb) data of the FY-3C Microwave Radiation Imager (MWRI). With the Tb data of SSMIS as a reference, monthly calibration models were established based on time-space matching and linear regression. After calibration, the correlation coefficients between the BT of F17/SSMIS and FY-3C/MWRI at different channels were effectively improved. Atmospheric effects were reduced using two weather filters and a sea ice mask. A minimum ice concentration array used in the procedure reduced the land-to-ocean spillover effect.</dc:description>
  <dc:subject>sea ice concentration; FY3C; MWRI; polar regions</dc:subject>
  <dc:creator>Lijian Shi</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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