Title: Challenges in Inverse Modeling and Data Assimilation of Atmospheric Constituents
Related Publications:
Arellano, A. F., et al. (2006), Time-dependent inversion estimates of global biomass-burning CO emissions using Measurement of Pollution in the Troposphere (MOPITT) measurements, J. Geophys. Res.-Atmos., 111.
Arellano, A. F., et. al. (2007), Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission, Atmos. Chem. Phys., 7, 5695-5710.
Arellano, A. F. J., and Hess, P. G. (2006), Sensitivity of top-down estimates of CO sources to GCTM transport, Geophys. Res. Lett., L21807-21801-21805.
Bian, H., et al. (2007), Sensitivity of global CO simulations to uncertainties in biomass burning sources, J. Geophys. Res., doi:10.1029/2006JD008376.
Heald, C. L., 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, doi:10.1029/2004JD005185.
Hu, Y., et al. (2009), Sensitivity of inverse estimation of 2004 elemental carbon emissions inventory in the United States to the choice of observational networks, Geophys. Res. Lett., 36, L15806,
doi:10.1029/2009GL039655.
Kopacz, M., 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, doi:10.1029/2007JD009264
Kopacz, M., et al.(2010), Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), Atmos. Chem. Phys., 10, 855--876.
.