Articles | Volume 8, issue 10
Geosci. Model Dev., 8, 3285–3310, 2015
https://doi.org/10.5194/gmd-8-3285-2015
Geosci. Model Dev., 8, 3285–3310, 2015
https://doi.org/10.5194/gmd-8-3285-2015
Development and technical paper
20 Oct 2015
Development and technical paper | 20 Oct 2015

CH4 parameter estimation in CLM4.5bgc using surrogate global optimization

J. Müller et al.

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Short summary
We tune the CH4-related parameters of the Community Land Model (CLM) using surrogate global optimization in order to reduce the discrepancies between the CLM predictions and observed CH4 emissions. This is the first application of a surrogate optimization method to calibrate a global climate model. We found that the observation data drives the model to predict more CH4 emissions in the northern latitudes and less in the tropics.