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Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 1, 59(2023)

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

SUN Erchang1,2, MA Jinji1,2、*, WU Wenhan1,2, YANG Guang1,2, and GUO Jinyu1,2
Author Affiliations
  • 1College of Geography and Tourism, Anhui Normal University, Wuhu 241002, China
  • 2Engineering Technology Research Center of Resources Environment and Geographic Information System of Anhui Province,Wuhu 241002, China
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    Figures & Tables(8)
    The spatial distribution of PM2.5 concentration near the surface estimated by Himawari-8 AOD. (a) December 7;

    Fig. 1. The spatial distribution of PM2.5 concentration near the surface estimated by Himawari-8 AOD. (a) December 7;

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    Comparison of the near-surface PM2.5 concentration estimated by Himawari-8 AOD product and the surface-observed PM2.5 concentration. (a) December 7; (b) December 8; (c) December 9; (d) December 10

    Fig. 2. Comparison of the near-surface PM2.5 concentration estimated by Himawari-8 AOD product and the surface-observed PM2.5 concentration. (a) December 7; (b) December 8; (c) December 9; (d) December 10

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    Scatter plot of PM2.5 concentration in background field and PM2.5 concentration observed on the ground. (a) CONTROL experiment; (b) AODDA experiment; (c) SITEDA experiment; (d) BOTHDA experiment

    Fig. 3. Scatter plot of PM2.5 concentration in background field and PM2.5 concentration observed on the ground. (a) CONTROL experiment; (b) AODDA experiment; (c) SITEDA experiment; (d) BOTHDA experiment

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    The spatial distribution of MAE, RMSE and r indicators. (a)―(c) CONTROL experiment; (d)―(f) AODDA experiment; (g)―(i) SITEDA experiment; (j)―(l) BOTHDA experiment

    Fig. 4. The spatial distribution of MAE, RMSE and r indicators. (a)―(c) CONTROL experiment; (d)―(f) AODDA experiment; (g)―(i) SITEDA experiment; (j)―(l) BOTHDA experiment

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    Time series comparison of assimilation experiment forecast improvement effect. (a) MAE; (b) RMSE; (c) r

    Fig. 5. Time series comparison of assimilation experiment forecast improvement effect. (a) MAE; (b) RMSE; (c) r

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    Temporal series comparison of the vertical whole layer mean of PM2.5 before and after assimilation. (a) Reference experiment; (b) difference between reference experiment and AODA; (c) difference between reference experiment and SITEDA; (d) difference between reference experiment and BOTHDA

    Fig. 6. Temporal series comparison of the vertical whole layer mean of PM2.5 before and after assimilation. (a) Reference experiment; (b) difference between reference experiment and AODA; (c) difference between reference experiment and SITEDA; (d) difference between reference experiment and BOTHDA

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    • Table 1. Assimilation experiments scheme

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      Table 1. Assimilation experiments scheme

      NumberExperiment namesAssimilation windows (UTC)

      1

      2

      Reference experiment (CONTROL)

      PM2.5 estimated by AOD data assimilation (AODDA)

      None

      2019-12-07(03:00, 06:00), 2019-12-08(03:00, 06:00), 2019-12-09

      (03:00, 06:00), 2019-12-10(03:00, 06:00)

      3Ground station data assimilation (SITEDA)
      4

      Simultaneous assimilation of ground station and

      estimated PM2.5 data (BOTHDA)

    • Table 2. The difference between the PM2.5 assimilation inspection index and the verification index in the background field on December 7―10，2019

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      Table 2. The difference between the PM2.5 assimilation inspection index and the verification index in the background field on December 7―10，2019

      Assimilation windowsCONTROLAODDASITEDABOTHDA
      MAE/(μg·m-3)RMSE/(μg·m-3)r△MAE/(μg·m-3)△RMSE/(μg·m-3)△r△MAE/(μg·m-3)△RMSE/(μg·m-3)△r△MAE/(μg·m-3)△RMSE/(μg·m-3)△r
      T128.039.00.60-5.4-5.90.11-14.4-20.00.30-14.1-19.00.30
      T226.438.50.64-8.7-12.50.2-14.3-20.50.29-13.9-20.00.29
      T334.950.50.53-7.1-11.30.16-17.1-24.20.34-17.1-23.70.34
      T435.151.30.49-11.6-15.80.26-17.9-21.10.34-18.4-24.50.38
      T545.063.30.36-10.3-12.40.23-24.5-32.50.48-24.5-32.50.48
      T646.264.50.37-17.2-22.40.39-28.1-35.70.53-28.1-37.20.54
      T746.166.60.29-10.2-10.80.17-26.1-32.70.52-25.1-32.40.51
      T842.863.80.32-11.9-16.20.27-24.2-32.70.53-24.3-34.10.54
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    Erchang SUN, Jinji MA, Wenhan WU, Guang YANG, Jinyu GUO. Improvement of PM2.5 predictions via variational assimilation of Himawari-8 satellite AOD product[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(1): 59

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    Paper Information

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    Received: Dec. 15, 2020

    Accepted: --

    Published Online: Apr. 17, 2023

    The Author Email: Jinji MA (jinjima@ahnu.edu.cn)

    DOI:10.3969/j.issn.1673-6141.2023.01.006

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology