Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1389-2021
https://doi.org/10.5194/hess-25-1389-2021
Research article
 | 
24 Mar 2021
Research article |  | 24 Mar 2021

The value of ASCAT soil moisture and MODIS snow cover data for calibrating a conceptual hydrologic model

Rui Tong, Juraj Parajka, Andreas Salentinig, Isabella Pfeil, Jürgen Komma, Borbála Széles, Martin Kubáň, Peter Valent, Mariette Vreugdenhil, Wolfgang Wagner, and Günter Blöschl

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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: Publish subject to revisions (further review by editor and referees) (27 Dec 2020) by Fuqiang Tian
AR by Rui Tong on behalf of the Authors (27 Dec 2020)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (31 Dec 2020) by Fuqiang Tian
RR by Anonymous Referee #2 (13 Jan 2021)
RR by Anonymous Referee #1 (05 Feb 2021)
ED: Publish subject to technical corrections (15 Feb 2021) by Fuqiang Tian
AR by Rui Tong on behalf of the Authors (18 Feb 2021)  Author's response    Manuscript
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Short summary
We used a new and experimental version of the Advanced Scatterometer (ASCAT) soil water index data set and Moderate Resolution Imaging Spectroradiometer (MODIS) C6 snow cover products for multiple objective calibrations of the TUWmodel in 213 catchments of Austria. Combined calibration to runoff, satellite soil moisture, and snow cover improves runoff (40 % catchments), soil moisture (80 % catchments), and snow (~ 100 % catchments) simulation compared to traditional calibration to runoff only.