Prediction of Atmospheric Ozone Using an Air Pollution Forecast System (VENUS) in Summer 2024

DOI

Bibliographic Information

Other Title
  • 大気汚染予測システムVENUSによる2024年夏季の光化学オキシダント予測
Published
2025-08-22
DOI
  • 10.11298/taiki.60.115
Publisher
Japan Society for Atmospheric Environment

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Description

<p>Atmospheric simulation models play a significant role in supporting the decision by the local government to issue photochemical-oxidant warnings. We evaluated the performance of an air pollution forecast system, VENUS, for simulating atmospheric ozone in the summer of 2024. Simulated ozone concentrations using meteorological forecast data were generally comparable in accuracy to those using meteorological analysis data. The VENUS also predicted the occurrence of high ozone events, with daily maximum ozone concentrations (DM1h-O3) over 100 ppbv in individual regions, achieving a true alert ratio of 70% and a detection probability of 55%. In addition, by implementing a bias correction using quantile mapping, the VENUS predicted the occurrence of high ozone events with DM1h-O3 over 120 ppbv, with a true alert ratio and a detection probability of 45%–50%.</p>

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Details 詳細情報について

  • CRID
    1390305278750824960
  • DOI
    10.11298/taiki.60.115
  • ISSN
    21854335
    13414178
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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