Data calibration and aerosol remote sensing using GOSAT/CAI and a plan for GOSAT-2/CAI-2

Abstract:

The GOSAT launched on January 23, 2009 is a satellite to monitor the concentration of greenhouse gases from space. CAI mounted on-board the satellite is an imaging sensor for cloud and aerosol and observes reflected sunlight from the atmosphere and surface of the ground. The sensor has four bands from near ultraviolet (near-UV) to shortwave infrared. The data has not been calibrated adequately beyond 2010, so we conducted several corrections, such as geometric, band-to-band registration and stripe correction, and vicarious or cross calibration using MODIS data. We would like to introduce those correction and calibration result. And also, we would like to show comparison results between before and after data correction and calibration and some data analysis of GOSAT/CAI to retrieve aerosol properties using multi-wavelength and multi-pixel algorithm (MWPM). 
At the same time we would like to show a plan for analysis for aerosol remote sensing using GOSAT-2/CAI-2. CAI-2 is planned to be implemented two different viewing angles with enhanced channel allocation including 340nm. It should be discussed a careful building of aerosol analysis system for such new functions with CAI-2.