This data set contains Global carbon monoxide (CO) flux estimates for 2001-2015 partitioned into biomass burning (BB), fossil fuel (FF) and biogenic (BG) sources. 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.

The Tropospheric Chemistry Reanalysis version 2 (TCR-2) provides global data sets of atmospheric composition and emissions for the period 2005-2018 at 1.1° horizontal resolution obtained from the assimilation of multiple satellite measurements of ozone, CO, NO2, HNO3, and SO2 from the OMI, SCIAMACHY, GOME-2, TES, MLS, and MOPITT satellite instruments. The data sets can be used to improve understanding of the processes controlling variations in atmospheric composition, including long-term changes in air quality and emissions.

Interannual variability in atmospheric carbon monoxide (CO) between 2001 and 2016 is determined from total column CO observations from the satellite instrument MOPITT. Climatological seasonal cycles in CO are subtracted from monthly averages in seven regions of the Southern Hemisphere and tropics, to produce records of CO anomalies. The seven regions in this dataset are shown here [https://rda.ucar.edu/datasets/ds682.0/docs/ds682.0/ds682_0_map_regions.png]