Biogeosciences
Biogeosciences
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Articles | Volume 14, issue 18
Articles | Volume 14, issue 18
https://doi.org/10.5194/bg-14-4295-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-4295-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 14, issue 18
Research article
 | 
27 Sep 2017
Research article |  | 27 Sep 2017

Bayesian calibration of terrestrial ecosystem models: a study of advanced Markov chain Monte Carlo methods

Dan Lu, Daniel Ricciuto, Anthony Walker, Cosmin Safta, and William Munger

Data sets

NEE observation data Oak Ridge National Laboratory Distributed Active Archive Center https://doi.org/10.3334/ORNLDAAC/1183

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Short summary
Calibration of terrestrial ecosystem models (TEMs) is important but challenging. This study applies an advanced sampling technique for parameter estimation of a TEM. The results improve the model fit and predictive performance.
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