Biogeosciences
Biogeosciences
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Articles | Volume 15, issue 19
Articles | Volume 15, issue 19
https://doi.org/10.5194/bg-15-5801-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-5801-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 19
Research article
 | 
04 Oct 2018
Research article |  | 04 Oct 2018

Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation

Istem Fer, Ryan Kelly, Paul R. Moorcroft, Andrew D. Richardson, Elizabeth M. Cowdery, and Michael C. Dietze

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Short summary
The computer models we use to understand and forecast the ecosystem changes have multiple components that determine their outcomes. Due to our limited observation capacities, these components bear uncertainties that in return affect our predictions. While there are techniques for reducing these uncertainties, they are not applicable to every model due to computational and statistical barriers. This research presents a method that lowers those barriers and allows us to improve model predictions.
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