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AOD Assimilation with CMA 3-D Var Scheme. Sunling Gong. Why AOD Data Assimilation?. PM Predictions at US and Europe. US. Europe. Gong et al. submitted. PM 10 Predictions in China. AOD Comparisons. Gong et al. submitted. Year 1 Annual Correlation (R) Values. Moran et al.
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AOD Assimilation with CMA 3-D Var Scheme Sunling Gong
PM Predictions at US and Europe US Europe Gong et al. submitted
AOD Comparisons Gong et al. submitted
Year 1 Annual Correlation (R) Values Moran et al. 10th CMAS Conference
Application of near-real-time (NRT) data:(1) Provide more realistic initial conditions;(2) Emission corrections.
3D-Var Method 3D-Var is to minimize objective function J(x): where x is the analysis field of AOD, xb the background field of AOD provided by model, B the background error covariance matrix, y0 the observation of AOD and O the observation error covariance matrix. H is the observation operator matrix that transfers the variables from model space to observational space.
DAS for Dust Obs. Model Satellite: IDDI Surface: Visibility First Guess 3D-Var analysis-field Forecast result Satellite: FY-2C Surface: Visibility CMA Dust Assimilation System CUACE/Dust
CUACE/Dust : WMO SDS-WAS No DAS With DAS 2006 Spring Forecasts: threat Score (TS) increased from 0.22 to 0.31, a 41% enhancement. Niu et al 2008
GEM-MACH AOD Assimilation Scheme GEM-MACH AOD 12 size bins of 5 aerosol types MODIS or others AOD 3-D Var Assimilated AOD
A Daily AOD from MODIS M O D - Terra M YD - Aqua 0.55 μm band from both Terra and Aqua. Deep Blue” AOD product over bright land surface
GEM-MACH Global Futures • Implement into GEM-MACH Global and late in to GEM-MACH regional; • Evaluate the results; • Compare the assimilation results with MODIS and GOES AOD; • More ......