Prof. Keiya Yumimoto (January 7, 2022, 15:30-17:00)
|Title||Integration of aerosol satellite retrieval and data assimilation|
To monitor air quality and provide early warning of heavy pollution events,
operational forecasting centers have been developing aerosol
forecasting systems and incorporating data assimilation techniques into the systems.
The Japan Meteorological Agency (JMA) has launched the "long-awaited" data assimilation
in operational Dust and sandstorm (DSS) prediction with aerosol optical properties (AOPs)
retrieved from Himawari-8 observations in 2020. This is the first application of
AOPs derived from Geostationary satellite for the aerosol data assimilation.
Furthermore, we has been developing an integrated system for aerosol satellite retrieval and data assimilation.
In the system, the short-term forecast from the aerosol data assimilation system is used
as a priori estimate in the retrieval to propagate information from previous observations to future retrievals.
In this presentation, we will introduce the aerosol assimilation system with
Himawari-8 observation and the integrated system and discuss the future direction of the integration.