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    <responseDate>2026-10-14T13:32:15Z</responseDate>
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    <identifier>10.57760/sciencedb.17372</identifier>
    <datestamp>2024-03-27T10:29:23Z</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>2024-03-27</dc:date>
  <dc:title>A Modeling Study of &amp;ge;2&amp;thinsp;MeV Electron Fluxes at Different Prediction Time Scales Based on LSTM and Transformer Networks</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.17372</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The geostationary&amp;nbsp;orbit is located in the Earth's radiation belts where the&amp;nbsp;geostationary&amp;nbsp;satellites may encounter high-energy electrons that could potentially damage them. With the number of geostationary&amp;nbsp;satellites&amp;nbsp;steadily increasing, there is an increasing need for services that provide accurate predictions of relativistic&amp;nbsp;electron fluxes&amp;nbsp;and provide hazard warning to satellite operators. We develop prediction models based on LSTM and transformer networks to provide the predictions at different prediction time&amp;nbsp;scales&amp;nbsp;of &amp;ge;2 MeV&amp;nbsp;electron fluxes with 5-minute resolution&amp;nbsp;at the geostationary&amp;nbsp;orbit. Compared with previous models, our models show great performances for the 1-hour and 3-hour predictions.</dc:description>
  <dc:subject>LSTM; transformer; prediction model; electron fluxes</dc:subject>
  <dc:creator>Ruilin Lin</dc:creator>
  <dc:creator>Xiaojing Sun</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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