Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-277-2019
https://doi.org/10.5194/hess-23-277-2019
Research article
 | 
17 Jan 2019
Research article |  | 17 Jan 2019

Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation

Bibi S. Naz, Wolfgang Kurtz, Carsten Montzka, Wendy Sharples, Klaus Goergen, Jessica Keune, Huilin Gao, Anne Springer, Harrie-Jan Hendricks Franssen, and Stefan Kollet

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (28 Jun 2018) by Alberto Guadagnini
AR by Bibi S. Naz on behalf of the Authors (12 Sep 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (30 Sep 2018) by Alberto Guadagnini
RR by Anonymous Referee #1 (23 Oct 2018)
RR by Anonymous Referee #3 (25 Oct 2018)
RR by Anonymous Referee #2 (08 Nov 2018)
ED: Reject (18 Nov 2018) by Alberto Guadagnini
ED: Publish subject to minor revisions (review by editor) (01 Dec 2018) by Alberto Guadagnini
AR by Bibi S. Naz on behalf of the Authors (11 Dec 2018)  Author's response   Manuscript 
ED: Publish as is (20 Dec 2018) by Alberto Guadagnini
AR by Bibi S. Naz on behalf of the Authors (28 Dec 2018)
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Short summary
This study investigates the value of assimilating coarse-resolution remotely sensed soil moisture data into high-resolution land surface models for improving soil moisture and runoff modeling. The soil moisture estimates in this study, with complete spatio-temporal coverage and improved spatial resolution from the assimilation, offer a new reanalysis product for the monitoring of surface soil water content and other hydrological fluxes at 3 km resolution over Europe.