Articles | Volume 24, issue 1
Hydrol. Earth Syst. Sci., 24, 325–347, 2020
https://doi.org/10.5194/hess-24-325-2020

Special issue: Hydrological cycle in the Mediterranean (ACP/AMT/GMD/HESS/NHESS/OS...

Hydrol. Earth Syst. Sci., 24, 325–347, 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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

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
Download
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.