Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3285-2015
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, R. Paudel, C. A. Shoemaker, J. Woodbury, Y. Wang, and N. Mahowald

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Juliane Mueller on behalf of the Authors (24 Jun 2015)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (29 Jun 2015) by Adrian Sandu
RR by Anonymous Referee #2 (24 Jul 2015)
RR by Anonymous Referee #1 (17 Sep 2015)
ED: Publish as is (05 Oct 2015) by Adrian Sandu
AR by Juliane Mueller on behalf of the Authors (06 Oct 2015)
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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.