A case study of aerosol data assimilation with the Community Multi-scale Air Quality Model over the contiguous United States using 3D-Var and optimal interpolation methods
作者： Youhua Tang , Mariusz Pagowski , Tianfeng Chai , Li Pan , Pius Lee
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摘要: Abstract. This study applies the Gridpoint Statistical Interpolation (GSI) 3D-Var assimilation tool originally developed by National Centers for Environmental Prediction (NCEP), to improve surface PM2.5 predictions over contiguous United States (CONUS) assimilating aerosol optical depth (AOD) and in version 5.1 of Community Multi-scale Air Quality (CMAQ) modeling system. An optimal interpolation (OI) method implemented earlier (Tang et al., 2015) CMAQ system is also tested same period (July 2011) CONUS. Both GSI OI methods assimilate observations at 00:00, 06:00, 12:00 18:00 UTC, MODIS AOD 18:00 UTC. The assimilations using both generally help reduce prediction biases correlation between model observations. In experiments, (particle matter with diameter
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