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| Titel |
Optimization of the seasonal cycles of simulated CO2 flux by fitting simulated atmospheric CO2 to observed vertical profiles |
| VerfasserIn |
Y. Nakatsuka, S. Maksyutov |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 6, no. 12 ; Nr. 6, no. 12 (2009-12-01), S.2733-2741 |
| Datensatznummer |
250004210
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| Publikation (Nr.) |
 copernicus.org/bg-6-2733-2009.pdf |
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| Zusammenfassung |
| An inverse of a combination of atmospheric transport and flux models was
used to optimize the Carnegie-Ames-Stanford Approach (CASA) terrestrial
ecosystem model properties such as light use efficiency and temperature
dependence of the heterotrophic respiration separately for each vegetation
type. The method employed in the present study is based on minimizing the
differences between the simulated and observed seasonal cycles of CO2
concentrations. In order to compensate for possible vertical mixing biases
in a transport model we use airborne observations of CO2 vertical
profile aggregated to a partial column instead of surface observations used
predominantly in other parameter optimization studies. Effect of the
vertical mixing on optimized net ecosystem production (NEP) was evaluated by
carrying out 2 sets of inverse calculations: one with partial-column
concentration data from 15 locations and another with near-surface CO2
concentration data from the same locations. We confirmed that the simulated
growing season net flux (GSNF) and net primary productivity (NPP) are about
14% higher for northern extra-tropical land when optimized with partial
column data as compared to the case with near-surface data. |
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