18:15 〜 19:30
[ACG06-P03] 多地点・多変数解析手法を用いたエアロゾル特性の推定のための衛星リモートセンシング手法の研究
キーワード：GCOM/C-SGLI, Aerosol, Satellite remote-sensing
We have developed a new satellite remote sensing algorithm to retrieve the aerosol optical characteristics using multi-pixel information of satellite imagers. In this algorithm, the inversion method is a combination of the MAP method (Maximum a posteriori method, Rodgers, 2000) and the Phillips-Twomey method (Phillips, 1962; Twomey, 1963) as a smoothing constraint for the state vector. Retrieved parameters in our algorithm are aerosol optical properties, such as aerosol optical thickness (AOT) of fine mode, sea salt, and dust particles, a volume soot fraction in fine mode particles, and ground surface albedo of each observed wavelength. We simultaneously retrieve all the parameters that characterize pixels in each of horizontal sub-domains consisting the target area. Then we successively apply the retrieval method to all the sub-domains in the target area.
We conducted numerical tests for the retrieval of aerosol properties and ground surface albedo for GOSAT/CAI imager data to test the algorithm for the land area. The result of the experiment showed that AOTs of fine mode and dust particles, soot fraction and ground surface albedo are successfully retrieved within absolute. We discuss the accuracy of the algorithm for various land surface types. Our future work is to extend the algorithm for analysis of AGEOS-II/GLI and GCOM/C-SGLI data.
We conducted numerical tests for the retrieval of aerosol properties and ground surface albedo for GOSAT/CAI imager data to test the algorithm for the land area. The result of the experiment showed that AOTs of fine mode and dust particles, soot fraction and ground surface albedo are successfully retrieved within absolute. We discuss the accuracy of the algorithm for various land surface types. Our future work is to extend the algorithm for analysis of AGEOS-II/GLI and GCOM/C-SGLI data.