Global Carbon Monoxide (CO) Flux Estimates for 2001-2015

The estimates were created at JPL/Caltech by Anthony Bloom using a Metropolis-Hastings Markov Chain Monte Carlo (MCMC) algorithm (Bloom et al., 2015) applied to top-down CO fluxes obtained from inverse modeling using the GEOS-Chem (with adjoint) model and data from the Terra/MOPITT satellite (Jiang et al., 2017).

The spatial resolution is 4.0 x 5.0 degrees lat/lon. Examples of the use of this data are described in Worden, J., et al., 2017 and Worden, H. et al., 2019. References: Bloom, A. A., J. Worden, Z. Jiang, H. Worden, T. Kurosu, C. Frankenberg, D. Schimel, (2015), Remote sensing constraints on South America fire traits by Bayesian fusion of atmospheric and surface data, Geophysical Research Letters, doi:10.1002/2014GL062584 Jiang, Z., J. R. Worden, H. Worden, M. Deeter, D. B. A. Jones, A. F. Arellano, and D. K. Henze (2017), A 15-year record of CO emissions constrained by MOPITT CO observations, Atmos.