Articles | Volume 24, issue 12
https://doi.org/10.5194/hess-24-5953-2020
https://doi.org/10.5194/hess-24-5953-2020
Research article
 | 
16 Dec 2020
Research article |  | 16 Dec 2020

Flexible vector-based spatial configurations in land models

Shervan Gharari, Martyn P. Clark, Naoki Mizukami, Wouter J. M. Knoben, Jefferson S. Wong, and Alain Pietroniro

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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) (19 Jun 2020) by Niko Wanders
AR by Shervan Gharari on behalf of the Authors (22 Jul 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (07 Aug 2020) by Niko Wanders
RR by Anonymous Referee #1 (16 Sep 2020)
ED: Publish subject to minor revisions (review by editor) (01 Oct 2020) by Niko Wanders
AR by Shervan Gharari on behalf of the Authors (08 Oct 2020)  Author's response   Manuscript 
ED: Publish as is (28 Oct 2020) by Niko Wanders
AR by Shervan Gharari on behalf of the Authors (01 Nov 2020)  Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Shervan Gharari on behalf of the Authors (11 Dec 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (14 Dec 2020) by Niko Wanders
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Short summary
This work explores the trade-off between the accuracy of the representation of geospatial data, such as land cover, soil type, and elevation zones, in a land (surface) model and its performance in the context of modeling. We used a vector-based setup instead of the commonly used grid-based setup to identify this trade-off. We also assessed the often neglected parameter uncertainty and its impact on the land model simulations.