Articles | Volume 9, issue 8
https://doi.org/10.5194/gmd-9-2833-2016
https://doi.org/10.5194/gmd-9-2833-2016
Development and technical paper
 | 
25 Aug 2016
Development and technical paper |  | 25 Aug 2016

Land-surface parameter optimisation using data assimilation techniques: the adJULES system V1.0

Nina M. Raoult, Tim E. Jupp, Peter M. Cox, and Catherine M. Luke

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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 Nina Raoult on behalf of the Authors (03 May 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 May 2016) by Jatin Kala
RR by Anonymous Referee #3 (24 May 2016)
RR by Hoshin Gupta (27 May 2016)
ED: Reconsider after major revisions (13 Jun 2016) by Jatin Kala
AR by Nina Raoult on behalf of the Authors (11 Jul 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (19 Jul 2016) by Jatin Kala
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Short summary
We present a set of "optimal" parameter values used to describe the influence of vegetation in a numerical climate model, and the software suite that we developed to find it. Observational data from ~ 100 locations were used, and the optimal parameters improve the fit in 90 % of the locations. The new parameter values will allow the climate model to give better predictions, and our software should prove useful in future calibrations.