ACP Atmospheric Chemistry and Physics ACP 1680-7324 Copernicus GmbH Göttingen, Germany 10.5194/acp-10-39-2010 Data assimilation of CALIPSO aerosol observations Sekiyama T. T. 1 Tanaka T. Y. 1 Shimizu A. 2 Miyoshi T. 3 4 Meteorological Research Institute, Tsukuba, Japan National Institute for Environmental Studies, Tsukuba, Japan Japan Meteorological Agency, Tokyo, Japan now at: Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland, USA 05 01 2010 10 1 39 49 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys.net/10/39/2010/acp-10-39-2010.html The full text article is available as a PDF file from http://www.atmos-chem-phys.net/10/39/2010/acp-10-39-2010.pdf

We have developed an advanced data assimilation system for a global aerosol model with a four-dimensional ensemble Kalman filter in which the Level 1B data from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) were successfully assimilated for the first time, to the best of the authors' knowledge. A one-month data assimilation cycle experiment for dust, sulfate, and sea-salt aerosols was performed in May 2007. The results were validated via two independent observations: 1) the ground-based lidar network in East Asia, managed by the National Institute for Environmental Studies of Japan, and 2) weather reports of aeolian dust events in Japan. Detailed four-dimensional structures of aerosol outflows from source regions over oceans and continents for various particle types and sizes were well reproduced. The intensity of dust emission at each grid point was also corrected by this data assimilation system. These results are valuable for the comprehensive analysis of aerosol behavior as well as aerosol forecasting.

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