Atmospheric Chemistry and Physics Discussions www.atmos-chem-phys-discuss.net 1680-7367 1680-7375 7 6 2007 10.5194/acpd-7-15955-2007 http://www.atmos-chem-phys-discuss.net/7/15955/2007/ http://www.atmos-chem-phys-discuss.net/7/15955/2007/acpd-7-15955-2007.html http://www.atmos-chem-phys-discuss.net/7/15955/2007/acpd-7-15955-2007.pdf 15955 15987 2007-11-14 Numerical modeling of Asian dust emission and transport with adjoint inversion using LIDAR network observations K. Yumimoto yumimoto@riam.kyushu-u.ac.jp I. Uno N. Sugimoto A. Shimizu Z. Liu D. M. Winker Department of Earth System Science and Technology, Kyushu University, Fukuoka, Japan Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan National Institute for Environmental Study, Tsukuba, Japan National Institute of Aerospace, Hampton, Virginia, USA NASA Langley Research Center, Hampton, Virginia, USA A four-dimensional variational (4D-Var) data assimilation system for a regional dust model (RAMS/CFORS-4DVAR; RC4) is applied to a heavy dust event which occurred between 20 March and 4 April 2007 over eastern Asia. The vertical profiles of the dust extinction coefficients derived from NIES LIDAR observation network are directly assimilated. We conduct two experiments to evaluate impacts of selections of observation sites: Experiment A uses five Japanese observation sites located only downwind of dust source regions; the other Experiment B uses these sites together with two other sites near source regions (China and Korea). Validations using various observation data (e.g., PM₁₀ concentration, MODIS AOT, OMI Aerosol Index, and the dust extinction coefficient derived by space-based LIDAR NASA/CALIPSO) are demonstrated. The modeled dust extinction coefficients are improved considerably through the assimilation. Assimilation results of Experiment A are consistent with those of Experiment B, indicating that observations of Experiment A can capture the dust event correctly and include sufficient information for dust emission inversion. Time series of dust AOT calculated by modeled and LIDAR dust extinction coefficients show good agreement. At Seoul, Matsue, and Toyama, assimilation reduces the root mean square errors of dust AOT by 31–32%. Vertical profiles of the dust layer observed by CALIPSO are also compared with assimilation results. The dense dust layer was trapped between θ=280–300 K and elevated higher toward the north; the model reproduces those characteristics well. 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