ACP Atmospheric Chemistry and Physics ACP Atmos. Chem. Phys. 1680-7324 Copernicus Publications Göttingen, Germany 10.5194/acp-12-9545-2012 Simultaneous assimilation of satellite NO<sub>2</sub>, O<sub>3</sub>, CO, and HNO<sub>3</sub> data for the analysis of tropospheric chemical composition and emissions Miyazaki K. 1 2 Eskes H. J. 1 Sudo K. 3 2 Takigawa M. 2 van Weele M. 1 Boersma K. F. 1 4 Royal Netherlands Meteorological Institute (KNMI), Wilhelminalaan 10, 3732 GK, De Bilt, The Netherlands Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan Eindhoven University of Technology, Fluid Dynamics Lab, Eindhoven, The Netherlands 22 10 2012 12 20 9545 9579 Copyright: © 2012 K. Miyazaki et al. 2012 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://acp.copernicus.org/articles/12/9545/2012/acp-12-9545-2012.html The full text article is available as a PDF file from https://acp.copernicus.org/articles/12/9545/2012/acp-12-9545-2012.pdf

We have developed an advanced chemical data assimilation system to combine observations of chemical compounds from multiple satellites. NO<sub>2</sub>, O<sub>3</sub>, CO, and HNO<sub>3</sub> measurements from the Ozone Monitoring Instrument (OMI), Tropospheric Emission Spectrometer (TES), Measurement of Pollution in the Troposphere (MOPITT), and Microwave Limb Sounder (MLS) satellite instruments are assimilated into the global chemical transport model CHASER for the years 2006–2007. The CHASER data assimilation system (CHASER-DAS), based on the local ensemble transform Kalman filter technique, simultaneously optimizes the chemical species, as well as the emissions of O<sub>3</sub> precursors, while taking their chemical feedbacks into account. With the available datasets, an improved description of the chemical feedbacks can be obtained, especially related to the NO<sub>x</sub>-CO-OH-O<sub>3</sub> set of chemical reactions. Comparisons against independent satellite, aircraft, and ozonesonde data show that the data assimilation results in substantial improvements for various chemical compounds. These improvements include a reduced negative tropospheric NO<sub>2</sub> column bias (by 40–85%), a reduced negative CO bias in the Northern Hemisphere (by 40–90%), and a reduced positive O<sub>3</sub> bias in the middle and upper troposphere (from 30–40% to within 10%). These changes are related to increased tropospheric OH concentrations by 5–15% in the tropics and the Southern Hemisphere in July. Observing System Experiments (OSEs) have been conducted to quantify the relative importance of each data set on constraining the emissions and concentrations. The OSEs confirm that the assimilation of individual data sets results in a strong influence on both assimilated and non-assimilated species through the inter-species error correlation and the chemical coupling described by the model. The simultaneous adjustment of the emissions and concentrations is a powerful approach to correcting the tropospheric ozone budget and profile analyses.

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