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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 10
Geosci. Model Dev., 10, 3889-3912, 2017
https://doi.org/10.5194/gmd-10-3889-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: The externalised surface model SURFEX

Geosci. Model Dev., 10, 3889-3912, 2017
https://doi.org/10.5194/gmd-10-3889-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model evaluation paper 25 Oct 2017

Model evaluation paper | 25 Oct 2017

Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area

Clément Albergel et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Clément Albergel on behalf of the Authors (17 Aug 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (26 Aug 2017) by Christoph Müller
RR by Patricia de Rosnay (29 Aug 2017)
RR by Anonymous Referee #2 (08 Sep 2017)
ED: Publish subject to technical corrections (08 Sep 2017) by Christoph Müller
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Short summary
LDAS-Monde, a global land data assimilation system, is applied over Europe and the Mediterranean basin to increase monitoring accuracy for land surface variables. It is able to ingest information from satellite-derived surface soil moisture (SSM) and leaf area index (LAI) observations to constrain the ISBA land surface model coupled with the CTRIP continental hydrological system. Assimilation of SSM and LAI leads to a better representation of evapotranspiration and gross primary production.
LDAS-Monde, a global land data assimilation system, is applied over Europe and the Mediterranean...
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