Using CO2 spatial variability to quantify representation errors of satellite CO2 retrievals
Article first published online: 29 AUG 2008
Copyright 2008 by the American Geophysical Union.
Geophysical Research Letters
Volume 35, Issue 16, August 2008
How to Cite
2008), Using CO2 spatial variability to quantify representation errors of satellite CO2 retrievals, Geophys. Res. Lett., 35, L16813, doi:10.1029/2008GL034528., , and (
- Issue published online: 29 AUG 2008
- Article first published online: 29 AUG 2008
- Manuscript Accepted: 9 JUL 2008
- Manuscript Revised: 26 JUN 2008
- Manuscript Received: 30 APR 2008
- Orbiting Carbon Observatory satellite;
 Satellite measurements of column-averaged CO2 dry-air mole fraction (XCO2) will be used in inversion and data assimilation studies to improve the precision and resolution of current estimates of global fluxes of CO2. Representation errors due to the mismatch in spatial scale between satellite retrievals and atmospheric transport models contribute to the uncertainty associated with flux estimates. This study presents a statistical method for quantifying representation errors as a function of the underlying spatial variability of XCO2 and the spatial distribution of retrieved soundings, without knowledge of the true XCO2 distribution within model gridcells. Representation errors are quantified globally using regional XCO2 spatial variability inferred using the PCTM/GEOS-4 model and a hypothetical atmospheric transport model with 1° × 1° resolution, 3 km2 retrieval footprints, and two different sounding densities.