Calibration of the Crop model in the Community Land Model
X. Zeng1,3, B. A. Drewniak2, and E. M. Constantinescu11Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, USA 2Environmental Science Division, Argonne National Laboratory, Argonne, USA 3Department of Mathematics, Shanghai University, Shanghai, China
Received: 20 Nov 2012 – Accepted for review: 30 Dec 2012 – Discussion started: 22 Jan 2013
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.
Zeng, X., Drewniak, B. A., and Constantinescu, E. M.: Calibration of the Crop model in the Community Land Model, Geosci. Model Dev. Discuss., 6, 379-398, doi:10.5194/gmdd-6-379-2013, 2013.