Argonne National Laboratory

Crop Physiology Calibration in CLM

TitleCrop Physiology Calibration in CLM
Publication TypeJournal Article
Year of Publication2014
AuthorsBilionis, I, Drewniak, BA, Constantinescu, EM
JournalGeoscientific Model Development
Start Page7
Accession Numberdoi:10.5194/gmdd-7-6733-2014
Other NumbersANL/MCS-P5150-0614
AbstractFarming is using more terrestrial ground, as population increases and agriculture is increasingly used 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 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).