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AGU: Journal of Geophysical Research, Atmospheres

 

Keywords

  • CO2 fluxes
  • inversion
  • satellite

Index Terms

  • Biogeosciences: Biogeochemical cycles, processes, and modeling
  • Biogeosciences: Biosphere/atmosphere interactions
  • Mathematical Geophysics: Inverse theory
  • Biogeosciences: Computational methods and data processing
  • Biogeosciences: Carbon cycling
Abstract
Cited By (27)
 

Abstract

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112, D09307, 11 PP., 2007
doi:10.1029/2006JD007375

Contribution of the Orbiting Carbon Observatory to the estimation of CO2 sources and sinks: Theoretical study in a variational data assimilation framework

Frédéric Chevallier

Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, Commissariat àl'Energie Atomique, Centre National de la Recherche Scientifique, Universitéde Versailles Saint-Quentin-en-Yvelines, Gif-sur-Yvette, France

François-Marie Bréon

Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, Commissariat àl'Energie Atomique, Centre National de la Recherche Scientifique, Universitéde Versailles Saint-Quentin-en-Yvelines, Gif-sur-Yvette, France

Peter J. Rayner

Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, Commissariat àl'Energie Atomique, Centre National de la Recherche Scientifique, Universitéde Versailles Saint-Quentin-en-Yvelines, Gif-sur-Yvette, France

NASA's Orbiting Carbon Observatory will monitor the atmospheric concentrations of carbon dioxide (CO2) along the satellite subtrack over the sunlit hemisphere of the Earth for more than 2 years, starting in late 2008. This paper demonstrates the application of a variational Bayesian formalism to retrieve fluxes at high spatial and temporal resolution from the satellite retrievals. We use a randomization approach to estimate the posterior error statistics of the calculated fluxes. Given our prior information about the fluxes (with error standard deviations about 0.4 g C m−2 d−1 over ocean and 4 g C m−2 d−1 over vegetated areas) and our observation characteristics (with error standard deviations about 2 ppm), we show error reductions of up to about 40% at weekly scale for a grid point of the transport model. We simulate the impact of undetected biases by perturbing the observations and show that regional biases of a few tenths of a part per million in column-averaged CO2 can bias the inverted yearly subcontinental fluxes by a few tenths of a gigaton of carbon, which is larger than the uncertainty on the anthropogenic carbon fluxes but smaller than that of natural fluxes over most vegetated areas.

Received 6 April 2006; accepted 14 December 2006; published 8 May 2007.

Citation: Chevallier, F., F.-M. Bréon, and P. J. Rayner (2007), Contribution of the Orbiting Carbon Observatory to the estimation of CO2 sources and sinks: Theoretical study in a variational data assimilation framework, J. Geophys. Res., 112, D09307, doi:10.1029/2006JD007375.

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