Atmospheric Chemistry and Physics Discussions www.atmos-chem-phys-discuss.net 1680-7367 1680-7375 7 3 2007 10.5194/acpd-7-8309-2007 http://www.atmos-chem-phys-discuss.net/7/8309/2007/ http://www.atmos-chem-phys-discuss.net/7/8309/2007/acpd-7-8309-2007.html http://www.atmos-chem-phys-discuss.net/7/8309/2007/acpd-7-8309-2007.pdf 8309 8332 2007-06-14 Data assimilation of dust aerosol observations for CUACE/Dust forecasting system T. Niu niutao2001@cams.cma.gov.cn S. L. Gong G. F. Zhu H. L. Liu X. Q. Hu C. H. Zhou Y. Q. Wang Center for Atmosphere Watch & Services (CAWAS), Chinese Academy of Meteorological Sciences, China Meteorological Administration (CMA), Beijing 100081, China Air Quality Research Division, Science & Technology Branch, Environment Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration (CMA), Beijing 100081, China National Satellite Meteorological Center, China Meteorological Administration (NSMC/CMA), Beijing 100081, China A data assimilation system (DAS) was developed for the Chinese Unified Atmospheric Chemistry Environment – Dust (CUACE/Dust) forecast system and applied in the operational forecasts of sand and dust storm (SDS) in spring 2006. The system is based on a three dimensional variational method (3D-Var) and uses extensively the measurements of surface visibility and dust loading retrieval from the Chinese geostationary satellite FY-2C. 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