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    <identifier>10.57760/sciencedb.25424</identifier>
    <datestamp>2025-05-29T17:50:59Z</datestamp>
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  <dc:date>2025-05-29</dc:date>
  <dc:title>WRF-Chem simulations in Northern China from July 31 to August 5 in 2022</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.25424</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains outputs from the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem v4.6.0) in northern China in the early August 2022, with a horizontal resolution of 0.25&amp;deg; and 33 vertical layers extending from the surface to 10 hPa.The model configuration included:Microphysics: Morrison double-moment schemeLand surface model: Noah LSMPlanetary boundary layer: MYNN schemeRadiation: RRTMG for both longwave and shortwaveChemistry: MOZART mechanism with MOSAIC aerosol moduleEmissions: Anthropogenic emissions from the 2020 MEIC inventoryFollowing the Air Quality Model Evaluation International Initiative (AQMEII) protocol, the simulation was divided into two overlapping 88-hour time slices:Slice-1: July 30, 08:00 LT &amp;ndash; August 3, 00:00 LTSlice-2: August 2, 08:00 LT &amp;ndash; August 6, 00:00 LTEach slice included a 16-hour spin-up period.Meteorological initial and boundary conditions were provided by ERA5 reanalysis. Chemical boundary conditions were derived from the CESM2.2/CAM-chem global model. For the first slice, chemical initial conditions were taken from CESM2.2/CAM-chem; the second slice used the output from the first slice.Two simulations are included:BASE run: Full emissions scenarioBLK run: A sensitivity experiment where anthropogenic emissions were removed within 114&amp;deg;E&amp;ndash;119&amp;deg;E and 36&amp;deg;N&amp;ndash;41&amp;deg;N.</dc:description>
  <dc:subject>Northern China; Ozone; Air pollution</dc:subject>
  <dc:creator>Yucong Miao</dc:creator>
  <dc:creator>Qian Liang</dc:creator>
  <dc:creator>Gen Zhang</dc:creator>
  <dc:creator>Huizheng Che</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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