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    <header >
    <identifier>10.57760/sciencedb.o00014.00005</identifier>
    <datestamp>2022-08-22T09:38:35Z</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>2022-08-22</dc:date>
  <dc:title>Scenario dataset of land cover in Eurasia (2020-2050)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.o00014.00005</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Based on the observation monthly climatic data collected from 2766 weather observation stations on&amp;nbsp;global&amp;nbsp;during the period from 1981 to 2010, and the climatic scenarios data of SSP1_2.6、SSP1_4.5&amp;nbsp;and&amp;nbsp;SSP1_8.5&amp;nbsp;scenarios released by CMIP6, the mean annual biotemperature, average total annual precipitation and potential evapotranspiration ratio on spatial resolution of 0.1&amp;ordm;&amp;times; 0.1&amp;ordm; were respectively obtained by operating a high accuracy and speed method of surfacing modeling (HASM) (Yue, 2010, Yue et al., 2016) during all the four periods from 2020 to&amp;nbsp;2050 per&amp;nbsp;decade. The method for surface modelling of land cover scenarios (SMLCS) has been developed to simulate the scenarios of land cover in Eurasia （Fan et al., 2019, 2020, 2021）. Finally, the scenario dataset of land cover under scenario SSP1_2.6、SSP1_4.5&amp;nbsp;and&amp;nbsp;SSP1_8.5&amp;nbsp;were simulated by the SMLCS method from 2020 to 2050.</dc:description>
  <dc:subject>Scenarios of land cover; Surface modelling; Climate change; Eurasia</dc:subject>
  <dc:creator>Zemeng Fan</dc:creator>
  <dc:creator>Tianxiang YUE</dc:creator>
  <dc:creator>Saibo LI</dc:creator>
  <dc:creator>Xuyang BAI</dc:creator>
  <dc:creator>Chesheng ZHAN</dc:creator>
  <dc:creator>Yong LUO</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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