Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs. sequential data assimilation

Dewaele, Hélène; Munier, Simon; Albergel, Clément; Planque, Carole; Laanaia, Nabil; Carrer, Dominique; Calvet, Jean-Christophe

doi:https://doi.org/10.5194/hess-21-4861-2017

Articles | Volume 21, issue 9

https://doi.org/10.5194/hess-21-4861-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-4861-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 9

Research article

|

28 Sep 2017

Research article |

| 28 Sep 2017

Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs. sequential data assimilation

Hélène Dewaele, Simon Munier, Clément Albergel, Carole Planque, Nabil Laanaia, Dominique Carrer, and Jean-Christophe Calvet

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Final revised paper (published on 28 Sep 2017)
Supplement to the final revised paper
Preprint (discussion started on 17 Mar 2017)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Manuscript review', Anonymous Referee #1, 25 Apr 2017
- AC1: 'Response to Reviewer 1', Jean-Christophe Calvet, 19 Jun 2017
RC2: 'Review of HESS-2017-120', Anonymous Referee #2, 24 May 2017
- AC2: 'Response to Reviewer 2', Jean-Christophe Calvet, 19 Jun 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (further review by Editor) (11 Aug 2017) by Hannah Cloke

AR by Jean-Christophe Calvet on behalf of the Authors (16 Aug 2017) Author's response Manuscript

ED: Publish as is (18 Aug 2017) by Hannah Cloke

Short summary

Soil maximum available water content (MaxAWC) is a key parameter in land surface models. Being difficult to measure, this parameter is usually unavailable. A 15-year time series of satellite-derived observations of leaf area index (LAI) is used to retrieve MaxAWC for rainfed straw cereals over France. Disaggregated LAI is sequentially assimilated into the ISBA LSM. MaxAWC is estimated minimising LAI analyses increments. Annual maximum LAI observations correlate with the MaxAWC estimates.