1127 / 2024-09-20 13:50:36
Development of a coupled atmosphere-ocean radiative transfer model and its application in the satellite remote sensing
radiative transfer,ocean color remote sensing,aerosol remote sensing,solar radiation
Session 25 - IGAC-SOLAS: Chemistry and physics at surface ocean and lower atmosphere
Abstract Accepted
Chong Shi / Aerospace Information Research Institute, Chinese Academy of Sciences
Husi Letu / Aerospace Information Research Institute, Chinese Academy of Sciences
Miho Sekiguchi / Japan Tokyo University of Marine Science and Technology
Teruyuki Nakajima / The University of Tokyo
Makiko Hashimoto / Japan Aerospace Exploration Agency
Masahiro Momoi / GRASP SAS
Yoshifumi Ota / Japan Meteorology Agency
Chenqian Tang / Aerospace Information Research Institute, Chinese Academy of Sciences
Wenwu Wang / Aerospace Information Research Institute,Chinese Academy of Sciences
Radiative transfer processes are one of the important physical processes in the atmospheric-oceanic systems. Accurate calculations of radiative transfer in the atmospheric-oceanic systems are essential for studies on the energy balance of the Earth-atmosphere system, climate change research, and remote sensing detection of oceanic resources. In this study, a new oceanic radiative transfer model was first developed, and an atmospheric-oceanic coupled radiative transfer model was established, overcoming the challenge of accurately simulating key parameters in the coupled system. Based on this, a high-precision synchronous remote sensing algorithm for atmospheric aerosols and ocean color was constructed, addressing the issue of large retrieval errors for aerosol and ocean color information in complex backgrounds. Furthermore, a remote sensing algorithm for cloud microphysical parameters based on infrared channels was developed, breaking through the difficulty of retrieving cloud parameters in the oceanic glint area. Finally, combining aerosol and cloud parameter information, an algorithm for estimating solar shortwave radiation was developed, achieving high-precision remote sensing detection of solar shortwave radiation and component information under all-weather conditions, serving climate change and solar energy resource assessment research.