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| Titel |
A global carbon assimilation system using a modified ensemble Kalman filter |
| VerfasserIn |
S. Zhang, X. Zheng, J. M. Chen, Z. Chen, B. Dan, X. Yi, L. Wang, G. Wu |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 3 ; Nr. 8, no. 3 (2015-03-25), S.805-816 |
| Datensatznummer |
250116188
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| Publikation (Nr.) |
 copernicus.org/gmd-8-805-2015.pdf |
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| Zusammenfassung |
| A Global Carbon Assimilation System based on the ensemble Kalman filter
(GCAS-EK) is developed for assimilating atmospheric CO2 data into an
ecosystem model to simultaneously estimate the surface carbon fluxes and
atmospheric CO2 distribution. This assimilation approach is similar to
CarbonTracker, but with several new developments, including inclusion
of atmospheric CO2 concentration in state vectors, using the ensemble Kalman filter (EnKF) with 1-week assimilation windows, using analysis
states to iteratively estimate ensemble forecast errors, and a maximum
likelihood estimation of the inflation factors of the forecast and
observation errors. The proposed assimilation approach is used to estimate
the terrestrial ecosystem carbon fluxes and atmospheric CO2
distributions from 2002 to 2008. The results show that this assimilation
approach can effectively reduce the biases and uncertainties of the carbon
fluxes simulated by the ecosystem model. |
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