# Sensitivity of inverse estimation of annual mean CO$_2$ sources and sinks to ocean-only sites versus all-sites observational networks

7 SATINV - Modélisation INVerse pour les mesures atmosphériques et SATellitaires
LSCE - Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] : DRF/LSCE
10 ICOS-ATC - ICOS-ATC
LSCE - Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] : DRF/LSCE
11 AOS Program - Atmospheric and Oceanic Sciences Program [Princeton]
GFDL - NOAA Geophysical Fluid Dynamics Laboratory, Princeton University
19 MOSAIC - Modélisation des Surfaces et Interfaces Continentales
LSCE - Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] : DRF/LSCE
Abstract : Inverse estimation of carbon dioxide (CO$_2$) sources and sinks uses atmospheric CO$_2$ observations, mostly made near the Earth's surface. However, transport models used in such studies lack perfect representation of atmospheric dynamics and thus often fail to produce unbiased forward simulations. The error is generally larger for observations over the land than those over the remote/marine locations. The range of this error is estimated by using multiple transport models (16 are used here). We have estimated the remaining differences in CO$_2$ fluxes due to the use of ocean-only versus all-sites (i.e., over ocean and land) observations of CO$_2$ in a time-independent inverse modeling framework. The fluxes estimated using the ocean-only networks are more robust compared to those obtained using all-sites networks. This makes the global, hemispheric, and regional flux determination less dependent on the selection of transport model and observation network.
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https://hal-bioemco.ccsd.cnrs.fr/bioemco-00175975
Contributor : Philippe Peylin Connect in order to contact the contributor
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### Citation

P. K. Patra, K. R. Gurney, A. S. Denning, S. Maksyutov, T. Nakazawa, et al.. Sensitivity of inverse estimation of annual mean CO$_2$ sources and sinks to ocean-only sites versus all-sites observational networks. Geophysical Research Letters, American Geophysical Union, 2006, 33, pp.L05814. ⟨10.1029/2005GL025403⟩. ⟨bioemco-00175975⟩

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