Articles | Volume 11, issue 12
Geosci. Model Dev., 11, 4739–4754, 2018
https://doi.org/10.5194/gmd-11-4739-2018
Geosci. Model Dev., 11, 4739–4754, 2018
https://doi.org/10.5194/gmd-11-4739-2018

Development and technical paper 30 Nov 2018

Development and technical paper | 30 Nov 2018

Land surface model parameter optimisation using in situ flux data: comparison of gradient-based versus random search algorithms (a case study using ORCHIDEE v1.9.5.2)

Vladislav Bastrikov et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Vladislav Bastrikov on behalf of the Authors (05 Nov 2018)  Author's response
ED: Publish as is (16 Nov 2018) by David Lawrence
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Short summary
In this study, we compare different methods for optimising parameters of the ORCHIDEE land surface model (LSM) using in situ observations. We use two minimisation methods - local gradient-based and global random search - applied either at each individual site or a group of sites characterised by one plant functional type. We demonstrate the advantages and challenges of different techniques and provide some advice on using it for the LSM parameters optimisation.