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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 12, issue 2
Geosci. Model Dev., 12, 765–784, 2019
https://doi.org/10.5194/gmd-12-765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 765–784, 2019
https://doi.org/10.5194/gmd-12-765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 20 Feb 2019

Development and technical paper | 20 Feb 2019

Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2)

Alberto Martínez-de la Torre 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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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alberto Martinez-de la Torre on behalf of the Authors (11 Dec 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (28 Dec 2018) by Wolfgang Kurtz
RR by Anonymous Referee #2 (14 Jan 2019)
ED: Publish subject to minor revisions (review by editor) (29 Jan 2019) by Wolfgang Kurtz
AR by Alberto Martinez-de la Torre on behalf of the Authors (30 Jan 2019)  Author's response    Manuscript
ED: Publish as is (07 Feb 2019) by Wolfgang Kurtz
Publications Copernicus
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Short summary
Land–surface interactions with the atmosphere are key for weather and climate modelling studies, both in research and in the operational systems that provide scientific tools for decision makers. Regional assessments will be influenced by the characteristics of the land. We improved the representation of river flows in Great Britain by including a dependency on the terrain slope. This development will be reflected not only in river flows, but in the whole water cycle represented by the model.
Land–surface interactions with the atmosphere are key for weather and climate modelling...
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