大气与环境光学学报 ›› 2023, Vol. 18 ›› Issue (1): 59-72.

• 光学遥感 • 上一篇    下一篇

Himawari-8气溶胶变分同化对PM2.5污染模拟的改进

孙二昌 1,2, 麻金继 1,2*, 吴文涵 1,2, 杨光 1,2, 郭金雨 1,2   

  1. 1 安徽师范大学地理与旅游学院, 安徽 芜湖 241002; 2 资源环境与地理信息工程安徽省工程技术研究中心, 安徽 芜湖 241002
  • 收稿日期:2020-12-15 修回日期:2021-01-16 出版日期:2023-01-28 发布日期:2023-02-08
  • 通讯作者: E-mail: jinjima@ahnu.edu.cn E-mail:jinjima@ahnu.edu.cn
  • 作者简介:孙二昌 (1995- ), 安徽滁州人, 硕士研究生, 主要从事大气环境遥感与应用方面的研究。E-mail: sunerchang@ahnu.edu.cn
  • 基金资助:
    国家自然科学基金项目 (42271372)

Improvement of PM2.5 predictions via variational assimilation of Himawari-8 satellite AOD product

SUN Erchang 1,2, MA Jinji 1,2*, WU Wenhan 1,2, YANG Guang 1,2, GUO Jinyu 1,2   

  1. 1 College of Geography and Tourism, Anhui Normal University, Wuhu 241002, China; 2 Engineering Technology Research Center of Resources Environment and Geographic Information System of Anhui Province, Wuhu 241002, China
  • Received:2020-12-15 Revised:2021-01-16 Published:2023-01-28 Online:2023-02-08
  • Contact: Jinji MA E-mail:jinjima@ahnu.edu.cn

摘要: 利用地球静止轨道卫星Himawari-8 气溶胶光学厚度 (AOD) 产品能够估算空间覆盖范围广、时间分辨率高的 近地表 PM2.5 浓度。基于三维变分同化系统将AOD估算得到的 PM2.5 资料同化进入WRF-Chem大气化学模式中, 通过 控制实验与同化实验的对比与分析, 探讨了AOD估算得到的PM2.5资料同化对 PM2.5 污染模拟的改进作用。实验结果 表明: (1) AOD估算得到的 PM2.5 资料同化能够改进 PM2.5 污染模拟效果;(2) PM2.5 污染模拟改进效果存在时空差异。 此外, 与其他研究中使用AOD观测算子直接同化AOD的方法相比, 该方法的操作更加简单。

关键词: WRF-Chem模式, Himawari-8 气溶胶光学厚度, PM2.5, 地理加权回归模型

Abstract: The aerosol optical depth (AOD) product of Himawari-8 satellite can be used to estimate PM2.5 concentration near the earth surface with wide spatial coverage and high temporal resolution. Based on the three-dimensional variational assimilation system, the PM2.5 data estimated by AOD are assimilated into the WRF-Chem atmospheric chemistry model. Then through the comparative analysis of control experiment and assimilation experiment, the improvement of PM2.5 pollution simulation by assimilation of PM2.5 data estimated by AOD is discussed. The results show that the assimilation of PM2.5 data estimated by AOD has a significant effect on the improvement of the background field, resulting in the significant improvement of PM2.5 pollution prediction. And in other hand, the improvement of PM2.5 pollution from AOD variational assimilation is different in time and space. In addition, compared with the other methods using AOD observation operators directly to assimilate AOD, this method has the advantage of easy operation.

Key words: WRF-Chem mode, Himawari-8 aerosol optical depth, PM2.5, geographically weighted regression

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