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| Titel |
Optimization of a prognostic biosphere model for terrestrial biomass and atmospheric CO2 variability |
| VerfasserIn |
M. Saito, A. Ito, S. Maksyutov |
| 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 ; 7, no. 4 ; Nr. 7, no. 4 (2014-08-29), S.1829-1840 |
| Datensatznummer |
250115686
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| Publikation (Nr.) |
 copernicus.org/gmd-7-1829-2014.pdf |
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| Zusammenfassung |
| This study investigates the capacity of a prognostic biosphere model
to simulate global variability in atmospheric CO2
concentrations and vegetation carbon dynamics under current
environmental conditions. Global data sets of atmospheric CO2
concentrations, above-ground biomass (AGB), and net primary
productivity (NPP) in terrestrial vegetation were assimilated into
the biosphere model using an inverse modeling method combined with
an atmospheric transport model. In this process, the optimal
physiological parameters of the biosphere model were estimated by
minimizing the misfit between observed and modeled values, and
parameters were generated to characterize various biome
types. Results obtained using the model with the optimized
parameters correspond to the observed seasonal variations in
CO2 concentration and their annual amplitudes in both the
Northern and Southern Hemispheres. In simulating the mean annual AGB
and NPP, the model shows improvements in estimating the mean
magnitudes and probability distributions for each biome, as compared
with results obtained using prior simulation parameters. However,
the model is less efficient in its simulation of AGB for forest type
biomes. This misfit suggests that more accurate values of input
parameters, specifically, grid mean AGB values and seasonal
variabilities in physiological parameters, are required to improve
the performance of the simulation model. |
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