<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-14T18:08:49Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.11922/sciencedb.01332" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.11922/sciencedb.01332</identifier>
    <datestamp>2023-07-07T12:42:39Z</datestamp>
</header>
    <metadata>
        
<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>2023-07-07</dc:date>
  <dc:title>FGOALS-g3 Super-large ensemble simulation</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.01332</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The 110-member historical experiments (1850-2014) and Shared Socio-economic Pathway (SSP) high-emission scenario (SSP5-8.5) experiments (2015-2099) are performed by the Chinese Academy of Sciences (CAS) Flexible Global Ocean&amp;ndash;Atmosphere&amp;ndash;Land System model Grid version 3 (FGOALS-g3). Among the members, only the initial values are different and they are chosen from the FGOALS-g3 preindustrial control (piControl) simulations. These 110-member historical and SSP5-8.5 simulations are following the experimental design of CMIP6 (Eyring et al., 2016). This ensemble can capture the response of SAT and land precipitation to external forcings well, and the internal variabilities can be quantified in our evaluation (The Super-large Ensemble experiments of CAS FGOALS-g3. Adv. Atmos. Sci., 39(10), 1746&amp;minus;1765, https://doi.org/10.1007/s00376-022-1439-1.). The availability of more than 100 realizations will help researchers to study rare events and improve the understanding of the impact of internal variability on forced climate changes. The datasets include daily and monthly atmosphere and ocean outputs, like temperature, precipitation, wind, and other variables.</dc:description>
  <dc:subject>large-ensemble simulation; FGOALS-g3; CMIP6</dc:subject>
  <dc:creator>Bowen Zhao</dc:creator>
  <dc:creator>Pengfei Lin</dc:creator>
  <dc:creator>Jilin Wei</dc:creator>
  <dc:creator>Xiaolong Chen</dc:creator>
  <dc:creator>Hailong Liu</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/10.1007/s00376-022-1439-1</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>