<?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>2026-10-15T04:21:52Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.32720" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.32720</identifier>
    <datestamp>2026-04-09T18:48:55Z</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>2026-04-09</dc:date>
  <dc:title>Arctic near-surface air temperature_60&amp;deg; N_90&amp;deg; N_3h_5km</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.32720</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This study developed a continuous Arctic near-surface air temperature dataset covering the Arctic Ocean north of 60&amp;deg; N from May to August 2024, with a spatial resolution of 5 km and a temporal resolution of 3 h. To address the limitations of remote-sensing temperature observations in the Arctic, including insufficient accuracy, poor temporal continuity, and incomplete spatial coverage, the dataset was generated using a physics-guided spatiotemporal reconstruction and correction framework (PGSRC Framework) that takes advantage of the high-frequency revisit capability of polar-orbiting satellites at high latitudes. Comprehensive validation based on ground observations and independent sounding data showed that the final product achieved an R&amp;sup2; of 0.83 and an RMSE of 2.34 K, significantly outperforming traditional interpolation results (R&amp;sup2; = 0.57, RMSE = 4.76 K). In addition, the model exhibited stable performance in time-based, station-based, and sample-based cross-validation, as well as in monthly validation (R&amp;sup2; &amp;gt; 0.87), and maintained strong generalization capability under conditions of heavy cloud cover and severe data gaps.</dc:description>
  <dc:subject>Arctic; Near-Surface Air Temperature; MODIS; Spatiotemporal Reconstruction</dc:subject>
  <dc:creator>Zhang Sisi</dc:creator>
  <dc:creator>Wang Wei</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>
</oai_dc:dc>

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