Technical Note: Adapting a fixed-lag Kalman smoother to a geostatistical atmospheric inversion framework A. M. Michalak Department of Civil and Environmental Engineering, and Department of Atmospheric, Oceanic, and Space Sciences, The University of Michigan, Ann Arbor, MI 48109-2125, USA
Abstract. Inverse modeling methods are now commonly used for estimating surface fluxes
of carbon dioxide, using atmospheric mass fraction measurements combined
with a numerical atmospheric transport model. The geostatistical approach to
flux estimation takes advantage of the spatial and/or temporal correlation
in fluxes and does not require prior flux estimates. In this work, a previously-developed,
computationally-efficient, fixed-lag Kalman smoother is adapted for application with a geostatistical
approach to atmospheric inversions. This method makes it feasible to perform multi-year geostatistical inversions,
at fine resolutions, and with large amounts of data. The new method is applied to the recovery of global
gridscale carbon dioxide fluxes for 1997 to 2001 using pseudodata
representative of a subset of the NOAA-ESRL Cooperative Air Sampling Network.
Citation: Michalak, A. M.: Technical Note: Adapting a fixed-lag Kalman smoother to a geostatistical atmospheric inversion framework, Atmos. Chem. Phys., 8, 6789-6799, doi:10.5194/acp-8-6789-2008, 2008.