Abstract: Multi-model comparisons of multi-constituent satellite data assimilation for tropospheric chemistry analysis using ensemble Kalman filter (AGU Fall Meeting 2018)

Multi-model comparisons of multi-constituent satellite data assimilation for tropospheric chemistry analysis using ensemble Kalman filter

Kazuyuki Miyazaki, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Kevin W Bowman, NASA Jet Propulsion Laboratory, Pasadena, United States, Keiya Yumimoto, Kyushu University, Fukuoka, Japan, Thomas Walker, Carleton University, Ottawa, Canada, Kengo Sudo, Nagoya University, Nagoya, Japan and Henk Eskes, Royal Netherlands Meteorological Institute, De Bilt, Netherlands

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