[A-CG36] Satellite Earth Environment Observation

[ACG36-08] Improvement of a remote sensing algorithm to retrieve atmospheric aerosols and ocean color simultaneously using multiwavelength and multipixel method

*Miho Sekiguchi¹, Teruyuki Nakajima¹, Makiko Hashimoto², Chong Shi³, Takahiro Momoi⁴ (1.Tokyo University of Marine Science and Technology, 2.Japan Aerospace Exploration Agency, 3.Chinese Academy of Science, 4.GRASP SAS)

Keywords:Satellite analysis, aerosols, ocean color

We have developed the simultaneous retrieval method for atmospheric aerosol and water-leaving radiance using satellite-observed radiances in several bands over a group of pixels with inter-pixel constraints. This method, named SIRAW (Simultaneous Retrieval of Aerosol and Water-leaving radiance for ocean retrieval), is enabled to get eight aerosol properties and ocean color over the ocean simultaneously and adopted as the standard aerosol algorithm for GOSAT-2/CAI-2. Although SIRAW has successfully provided valuable atmospheric aerosol properties from CAI-2 observations, several shortcomings were pointed out in ocean products. In this study, we introduce the update of SIRAW. At first, we introduced RPstar3, the latest version of the radiative transfer code, including SIRAW. Secondly, aerosol optical properties and IOPs assumed in this method are updated to that estimated from in-situ observations. At last, we modified the technique to select dark or bright pixels.
This updated SIRAW was used for GCOM/SGLI and GOSAT-2/CAI-2 data to retrieve atmospheric aerosols and water-leaving radiance at AERONET-OC sites and validated with analytical values from in-situ observations. According to the results, the accuracy of this method was better than the previous method.