Start
June 17, 2021 - 1:00 pm
End
June 17, 2021 - 2:00 pm
Categories
School of Meteorology (Defense)School of Meteorology MS Thesis Defense
A Correlation-based Inversion Method for Aerosol Property (CIMAP) Retrieval from AERONET Measurements
Taozhong Huang
Thursday, June 17th
1:00pm
Join Zoom
https://oklahoma.zoom.us/j/7984869539?pwd=Vjc4b3hVTnlyQ3Y0OVMxMVFNMVdPQT09
Meeting ID: 798 486 9539
Passcode: 535768
We developed a principal-component based inversion approach – CIMAP, to retrieve aerosol properties from AERONET measurements of aerosol optical depths (AODs) and sky radiances. Capitalizing on the correlation in aerosol properties, CIMAP reduces the aerosol retrieval parameter space and saves retrieval time by more than 80% from adopting 7-8 principal components in retrieval. As algorithm test, CIMAP is implemented to retrieve 60 sets of AERONET observations in several selected areas in southern California, southern Africa, and north China around Beijing, and the results are compared to the AERONET measurement and operational retrieval products. The mean absolute differences are found to be 0.004, 0.019, 0.032, 0.039, 0.003, and 0.044mm for aerosol optical depth, single scattering albedo, Ångström exponent, real and imaginary parts of refractive index, and effective radii of whole size distribution, respectively. These differences are within or close to AERONET measurement or retrieval uncertainties.