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    <identifier>10.57760/sciencedb.17408</identifier>
    <datestamp>2025-05-21T15:01:15Z</datestamp>
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  <dc:date>2025-05-21</dc:date>
  <dc:title>MDG625: Meteorological Dataset with 0.0625&amp;deg; resolution produced by GeoAN</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.17408</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>MDG625: Meteorological Dataset with 0.0625&amp;deg; resolution produced by GeoANThe meteorological data sets of parts of Asia from 1940-2016 produced by deep learning methods GeoAN with geopotential-guided attention.More information can refer [github](https://github.com/songzijiang/GeoAN).The file names and directory structure are organized in the following format:```[file_split].tar/geoan-[file_index]-[variable_name].tif```&amp;gt; [file_index] is the number of days elapsed since&amp;nbsp;1940-1-1. A table of index and date correspondences is available in &amp;rsquo;idx.txt&amp;lsquo;.&amp;gt; [file_split] is calculated by [file_index]//100, e.g. 0.tar contains the data of 0-99 (from 1940-1-1 to 1940-04-10).&amp;gt; [variable_name] can be chosen from ['PRS', 'TMP', 'WIN'], which represent surface pressure, the temperature at 2m, and wind speed at 10m, respectively.## change list:V3: produced from a new pre-trained model to improve the performance of the dataset, the first day of the dataset is changed to 1940-1-1.V2: change author information and title.V1: init commit.</dc:description>
  <dc:subject>Meteorological Dataset;  high resolution; deep learning; reanalysis; China; Asia</dc:subject>
  <dc:creator>Zijiang Song</dc:creator>
  <dc:creator>Zhixiang Cheng</dc:creator>
  <dc:creator>Yuying Li</dc:creator>
  <dc:creator>Shanshan Yu</dc:creator>
  <dc:creator>Xiaowen Zhang</dc:creator>
  <dc:creator>Lina Yuan</dc:creator>
  <dc:creator>Min 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:publisher>Science Data Bank</dc:publisher>
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