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GEOPHYSICAL RESEARCH LETTERS,
VOL. 33,
L05814,
5 PP., 2006
doi:10.1029/2005GL025403
Sensitivity of inverse estimation of annual mean CO2 sources and sinks to ocean-only sites versus all-sites observational networks
Frontier Research Center for Global Change/JAMSTEC, Yokohama, Japan
Department of Atmospheric Sciences/GDPE, Colorado State University, Fort Collins, Colorado, USA
Department of Atmospheric Sciences/GDPE, Colorado State University, Fort Collins, Colorado, USA
National Institute for Environmental Studies, Tsukuba, Japan
Graduate School of Science, Tohoku University, Sendai, Japan
National Center for Atmospheric Research (NCAR), Boulder, Colorado, USA
Laboratoire des Sciences du Climat et de l'Environment (LSCE), Gif-sur-Yvette, France
NOAA Climate Monitoring and Diagnostics Laboratory, Boulder, Colorado, USA
Department of Earth, Atmospheric, and Planetary Science, Massachussetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
Laboratoire des Sciences du Climat et de l'Environment (LSCE), Gif-sur-Yvette, France
AOS Program, Princeton University, Princeton, New Jersey, USA
Center for Atmospheric Sciences, University of California, Berkeley, California, USA
Max-Planck Institute fur Biogeochemie, Jena, Germany
Max-Planck Institute fur Biogeochemie, Jena, Germany
Meteorological Service of Canada, Environment Canada, Toronto, Ontario, Canada
Center for Atmospheric Sciences, University of California, Berkeley, California, USA
CSIRO Atmospheric Research, Aspendale, Victoria, Australia
Atmospheric Environment Division, Japan Meteorological Agency, Tokyo, Japan
Earth System Science, University of California, Irvine, California, USA
Laboratoire des Sciences du Climat et de l'Environment (LSCE), Gif-sur-Yvette, France
Earth System Science, University of California, Irvine, California, USA
CSIRO Atmospheric Research, Aspendale, Victoria, Australia
AOS Program, Princeton University, Princeton, New Jersey, USA
National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA
Meteorological Service of Canada, Environment Canada, Toronto, Ontario, Canada
Inverse estimation of carbon dioxide (CO2) sources and sinks uses atmospheric CO2 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 CO2 fluxes due to the use of ocean-only versus all-sites (i.e., over ocean and land) observations of CO2 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.
Received 5 December 2005; accepted 12 January 2006; published 14 March 2006.
Citation: (2006), Sensitivity of inverse estimation of annual mean CO2 sources and sinks to ocean-only sites versus all-sites observational networks, Geophys. Res. Lett., 33, L05814, doi:10.1029/2005GL025403.
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