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| Titel |
Crop physiology calibration in the CLM |
| VerfasserIn |
I. Bilionis, B. A. Drewniak, E. M. Constantinescu |
| 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. 4 ; Nr. 8, no. 4 (2015-04-15), S.1071-1083 |
| Datensatznummer |
250116278
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| Publikation (Nr.) |
 copernicus.org/gmd-8-1071-2015.pdf |
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| Zusammenfassung |
| Farming is using more of the land surface, as
population increases and agriculture is increasingly applied for non-nutritional
purposes such as biofuel production. This agricultural expansion
exerts an increasing impact on the terrestrial carbon cycle. In
order to understand the impact of such processes, the Community Land
Model (CLM) has been augmented with a CLM-Crop extension that
simulates the development of three crop types: maize, soybean, and
spring wheat. The CLM-Crop model is a complex system that relies on
a suite of parametric inputs that govern plant growth under a given
atmospheric forcing and available resources. CLM-Crop development
used measurements of gross primary productivity (GPP) and net ecosystem
exchange (NEE) from AmeriFlux sites to choose parameter values that
optimize crop productivity in the model. In this paper, we calibrate
these parameters for one crop type, soybean, in order to provide a faithful projection in terms of
both plant development and net carbon exchange.
Calibration is performed in a Bayesian framework by developing a
scalable and adaptive scheme based on sequential Monte Carlo (SMC).
The model showed significant improvement of crop productivity with the new calibrated parameters.
We demonstrate that the calibrated parameters are applicable across alternative years and different sites. |
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