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    <identifier>10.11922/sciencedb.j00076.00071</identifier>
    <datestamp>2022-01-19T16:56:10Z</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>2022-01-19</dc:date>
  <dc:title>Dataset of daily snow water equivalent product from 1980 to 2020 over China</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.j00076.00071</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The reliable knowledge of seasonal snow volume and its trend is very important to understand Earth&amp;rsquo;s climate system. This work presents a 40-yr (1980-2020) daily snow water equivalent product with a linear unmixing method through passive microwave radiometer data including the Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) over China. The unbiased root mean square error (unRMSE) of snow depth is about 5-7cm, corresponding to 10-15 mm for the snow water equivalent (SWE), when compared with ground measurements of station snow depth and field snow course data.&amp;nbsp;</dc:description>
  <dc:subject>snow water equivalent;  daily;  1980-2020;  passive microwave remote sensing;  China</dc:subject>
  <dc:creator>Lingmei Jiang</dc:creator>
  <dc:creator>Jianwei Yang</dc:creator>
  <dc:creator>Cheng Zhang</dc:creator>
  <dc:creator>Shengli Wu</dc:creator>
  <dc:creator>Zhen Li</dc:creator>
  <dc:creator>Liyun Dai</dc:creator>
  <dc:creator>Xiaofeng Li</dc:creator>
  <dc:creator>Yubao Qiu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1080/20964471.2022.2116796</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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