Articles | Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4861–4878, 2017
https://doi.org/10.5194/hess-21-4861-2017
Hydrol. Earth Syst. Sci., 21, 4861–4878, 2017
https://doi.org/10.5194/hess-21-4861-2017

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 et al.

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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
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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.