This study presents the development of the 2nd version of the multi-wavelength and multi-pixel method, MWPM2, for land aerosol remote sensing, and shows its validation studies with data of GOSAT-2/CAI-2 satellite-borne imager in the period from 2019 through 2022. The imager has unique near-ultraviolet bands of 340 and 380 nm with a 460m-spatial resolution. The study found that the MWPM2 retrieval of CAI-2 data is capable of simultaneous retrievals of aerosol optical thickness, single scattering albedo, PM2.5, and black carbon concentration (BC) with enough precision within the GOSAT-2 mission success criteria when the retrieval results are filtered by a suitable quality control system.

The developed system was then applied to CAI-2 imaging of the Indian land area over two-year periods to depict the horizontal distribution and seasonal variation of BC, which were found to be consistent with those of surface measurements by the ARFINET network.