Preprints
https://doi.org/10.5194/gmdd-6-379-2013
https://doi.org/10.5194/gmdd-6-379-2013

Submitted as: development and technical paper 22 Jan 2013

Submitted as: development and technical paper | 22 Jan 2013

Review status: this preprint was under review for the journal GMD but the revision was not accepted.

Calibration of the Crop model in the Community Land Model

X. Zeng3,1, B. A. Drewniak2, and E. M. Constantinescu1 X. Zeng et al.
  • 1Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA
  • 2Environmental Science Division, Argonne National Laboratory, Argonne, USA
  • 3Department of Mathematics, Shanghai University, Shanghai, China

Abstract. Farming is using more terrestrial ground with increases in population and the expanding use of agriculture 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 and net ecosystem exchange from AmeriFlux sites to choose parameter values that optimize crop productivity in the model. In this paper we calibrate these values in order to provide a faithful projection in terms of both plant development and net carbon exchange, using a Markov chain Monte Carlo technique.

X. Zeng et al.

 
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Status: closed
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

X. Zeng et al.

X. Zeng et al.

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