Bousserez, N., Henze, D. K., Perkins, K. W., et al. (2015) Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model, QJRMS, doi: 10.1002/qj.2495.CrossRefGoogle Scholar

Deeter, M. N., Emmons, L. K., Francis, G. L., et al. (2003) Operational carbon monoxide retrieval algorithm and selected results for the MOPITT instrument, J. Geophys. Res., 108, 4399.Google Scholar

Errera, Q. and Ménard, R. (2012) Technical note: Spectral representation of spatial correlations in variational assimilation with grid point models and application to the Belgian Assimilation System for Chemical Observations (BASCOE), Atmos. Chem. Phys., 12, 10015–10031.CrossRefGoogle Scholar

Errera, Q., Daerden, F., Chabrillat, S., et al. (2008) 4D-Var assimilation of MIPAS chemical observations: Ozone and nitrogen dioxide analyses, Atmos. Chem. Phys., 8, 6169–6187.CrossRefGoogle Scholar

Heald, C. L., Jacob, D. J., Jones, D., et al. (2004) Comparative inverse analysis of satellite (MOPITT) and aircraft (TRACE-P) observations to estimate Asian sources of carbon monoxide, J. Geophys. Res., 109, D23306.CrossRefGoogle Scholar

Henze, D. K., Hakami, A., and Seinfeld, J. H. (2007) Development of the adjoint of GEOS-Chem, Atmos. Chem. Phys., 7, 2413–2433.CrossRefGoogle Scholar

Jacob, D. J., Crawford, J., Kleb, M., et al. (2003) The Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft mission: Design, execution, and first results, J. Geophys. Res., 108, 9000.Google Scholar

Kim, P. S., Jacob, D. J., Mickley, L., et al. (2015) Sensitivity of population smoke exposure to fire locations in Equatorial Asia, Atmos. Environ., 102, 11–17.Google Scholar

Kopacz, M., Jacob, D. J., Henze, D., et al. (2009) Comparison of adjoint and analytical Bayesian inversion methods for constraining Asian sources of carbon monoxide using satellite (MOPITT) measurements of CO columns, J. Geophys. Res., 114, D04305.Google Scholar

Miller, S. M., Michalak, A. M., and Levi, P. J. (2014) Atmospheric inverse modeling with known physical bounds: An example for trace gas emissions, Geosci. Mod. Dev., 7, 303–315.CrossRefGoogle Scholar

Rodgers, C. D. (2000) Inverse Methods for Atmospheric Sounding, World Sci., Tokyo.Google Scholar

Rodgers, C. D., and Connor, B. J. (2003) Intercomparison of remote sounding instruments, J. Geophys. Res., 108, 4116.Google Scholar

Turner, A. J. and Jacob, D. J. (2015) Balancing aggregation and smoothing errors in inverse models, Atmos. Chem. Phys., 15, 7039–7048.CrossRefGoogle Scholar

Wecht, K. J., Jacob, D. J., Frankenberg, C., et al. (2014) Mapping of North America methane emissions with high spatial resolution by inversion of SCIAMACHY satellite data, J. Geophys. Res., 119, 7741–7756.CrossRefGoogle Scholar

Zhang, L., Jacob, D. J., Liu, X., et al. (2010) Intercomparison methods for satellite measurements of atmospheric composition: Application to tropospheric ozone from TES and OMI, Atmos. Chem. Phys., 10, 4725–4739.Google Scholar

Zoogman, P. W., Jacob, D. J., Chance, K., et al. (2014) Monitoring high-ozone events in the US Intermountain West using TEMPO geostationary satellite observations, Atmos. Chem. Phys., 14, 6261–6271.Google Scholar