Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-325-2020
https://doi.org/10.5194/hess-24-325-2020
Research article
 | 
23 Jan 2020
Research article |  | 23 Jan 2020

An ensemble square root filter for the joint assimilation of surface soil moisture and leaf area index within the Land Data Assimilation System LDAS-Monde: application over the Euro-Mediterranean region

Bertrand Bonan, Clément Albergel, Yongjun Zheng, Alina Lavinia Barbu, David Fairbairn, Simon Munier, and Jean-Christophe Calvet

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (16 Nov 2019) by Eric Martin
AR by Clément Albergel on behalf of the Authors (19 Nov 2019)  Author's response   Manuscript 
ED: Publish as is (07 Dec 2019) by Eric Martin
AR by Clément Albergel on behalf of the Authors (09 Dec 2019)
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Short summary
This paper introduces an ensemble square root filter (EnSRF), a deterministic ensemble Kalman filter, for jointly assimilating observations of the surface soil moisture and leaf area index in the Land Data Assimilation System LDAS-Monde. LDAS-Monde constrains the Interaction between Soil, Biosphere and Atmosphere (ISBA) land surface model to improve the reanalysis of land surface variables. EnSRF is compared with the simplified extended Kalman filter over the European Mediterranean region.