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emconsta[at]mcs.anl.gov • Asst Computational Mathematician • Mathematics and Computer Science • Argonne National Laboratory • Fellow of the Computation Institute • University of Chicago
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Climate Science for a Sustainable Energy Future
Collaborators: Xiaoyan Zeng*, Beth A. Drewniak Synopsis: This study is part of the CSSEF project and is focused on the Crop sub-component of the land model (CLM). 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 GPP and NEE from AmeriFlux sites to choose parameter values that optimize crop productivity in the model. The results below are from a calibration exercise of the CLM-Crop model with Bondville IL data. Part of the collaborative writing was carried out using writelatex. Papers, Conference Presentations, and Proceedings
Preliminary results:Illustration of the callibration process for six parameters that affect the plant growth.
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