Articles | Volume 8, issue 10
Geosci. Model Dev., 8, 3285–3310, 2015
Geosci. Model Dev., 8, 3285–3310, 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.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

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
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.