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    <responseDate>2026-10-14T03:14:16Z</responseDate>
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    <identifier>10.11922/sciencedb.01470</identifier>
    <datestamp>2022-01-25T14:04:06Z</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>2022-01-25</dc:date>
  <dc:title>A Clear-sky Daily DLR product from the FY3D MERSI-2 observations</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.01470</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>A daily clear-sky surface downward longwave radiation in the Arctic (60&amp;deg;N-90&amp;deg;N), produced from the FY-3D MERSI-2 thermal infrared (TIR) top-of-atmosphere (TOA) radiances, using the extremely randomized trees (ERT) machine learning algorithm. The dataset was firstly generated from the instantaneous MERSI-2 TIR radiances. The retrieval accuracy of the instantaneous LWDR dataset in RMSE and bias, validated with the Baseline Surface Radiation Network (BSRN) in situ measurements, are 14.14 W/m2 and 4.36 W/m2, respectively. Then, a diurnal model derived from the CERES SYN product was used to integrate the instantaneous LWDR data to daily product. The dataset has a spatial resolution of 1km.</dc:description>
  <dc:subject>FY3D; MERSI-2; Surface Downward Longwave Radiation; Clear-sky</dc:subject>
  <dc:creator>Yunfeng Cao</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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