APPLICATION OF THE 4DVAR METHOD FOR ASSIMILATION AOD DATA FROM MODIS SATELLITE FOR FORECASTING CONCENTRATIONS OF PM2.5 IN HA NOI

  • Nguyen Hai Dong, Doan Ha Phong, Le Ngoc Cau
Keywords: Aerosol optical depth (AOD), Air pollution, PM2.5, Remote sensing.

Abstract

4D-Var data assimilation technique in the data assimilation module of the Weather Research and Forecasting system (WRFDA) has been applied at several research centers in the world in research and prediction of PM2.5 concentration.

This study applied 4D-Var algorithm in WRF to assimilate AOD data from MODIS satellite data as input to CMAQ air quality model to estimate PM2.5 dust concentration for Ha Noi area.

The results of the experiment show that the concentration of PM2.5 after assimilation of AOD data for the WRF-CMAQ model system is correlated with R2 = 0.669 with the observed PM2.5 concentration data at the stationary Trung Yen. The initial results can be used to predict concentrations of PM2.5 in Ha Noi.

điểm /   đánh giá
Published
2021-05-25
Issue
No. 16 (2020): JOURNAL OF CLIMATE CHANGE SCIENCE
Section
ARTICLES