Operational retrieval of Asian sand and dust storm from FY-2C geostationary meteorological satellite and its application to real time forecast in Asia

[摘要] This paper describes an operational retrieval algorithm for the sand/duststorm (SDS) from FY-2C/S-VISSR (Stretched-Visible and Infrared Spin-ScanRadiometer) developed at the National Satellite Meteorological Center (NSMC)of China. This algorithm, called Dust Retrieval Algorithm based onGeostationary Imager (DRAGI), is based on the optical and radiative physicalproperties of SDS in mid-infrared and thermal infrared spectral regions aswell as the observation of all bands in the geostationary imager, whichinclude the Brightness Temperature Difference (BTD) in split windowchannels, Infrared Difference Dust Index (IDDI) and the ratio of middleinfrared reflectance to visible reflectance. It also combines the visibleand water vapor bands observation of the geostationary imager to identifythe dust clouds from the surface targets and meteorological clouds. Theoutput product is validated by and related to other dust aerosolobservations such as the synoptic weather reports, surface visibility,aerosol optical depth (AOD) and ground-based PM₁₀ observations. Using theSDS-IDD product and a data assimilation scheme, the dust forecast modelCUACE/Dust achieved a substantial improvement to the SDS predictions inspring 2006.

[学科分类] 大气科学