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  Sensitivity of inverse estimation of annual mean CO2 sources and sinks to ocean-only sites versus all-sites observational networks

Patra, P. K., Gurney, K. R., Denning, A. S., Maksyutov, S., Nakazawa, T., Baker, D., et al. (2006). Sensitivity of inverse estimation of annual mean CO2 sources and sinks to ocean-only sites versus all-sites observational networks. Geophysical Research Letters, 33(5), L05814. doi:10.1029/2005GL025403.

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http://dx.doi.org/10.1029/2005GL025403 (Publisher version)
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 Creators:
Patra, P. K., Author
Gurney, K. R., Author
Denning, A. S., Author
Maksyutov, S., Author
Nakazawa, T., Author
Baker, D., Author
Bousquet, P., Author
Bruhwiler, L., Author
Chen, Y.-H., Author
Ciais, P., Author
Fan, S. M., Author
Fung, I., Author
Gloor, M.1, Author           
Heimann, M.2, Author           
Higuchi, K., Author
John, J., Author
Law, R. M., Author
Maki, T., Author
Pak, B. C., Author
Peylin, P., Author
Prather, M., AuthorRayner, P. J., AuthorSarmiento, J., AuthorTaguchi, S., AuthorTakahashi, T., AuthorYuen, C.-W., Author more..
Affiliations:
1Tall Tower Atmospheric Gas Measurements, Dr. J. Lavrič, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497786              
2Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497755              

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Free keywords: Atmospheric transport Carbon Flux
 Abstract: 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. [References: 17]

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 Dates: 2006
 Publication Status: Issued
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 Identifiers: DOI: 10.1029/2005GL025403
Other: BGC0962
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Title: Geophysical Research Letters
  Abbreviation : GRL
Source Genre: Journal
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Publ. Info: Washington, D.C. : American Geophysical Union
Pages: - Volume / Issue: 33 (5) Sequence Number: - Start / End Page: L05814 Identifier: ISSN: 0094-8276
CoNE: https://pure.mpg.de/cone/journals/resource/954925465217