Articles | Volume 22, issue 11
Hydrol. Earth Syst. Sci., 22, 5817–5846, 2018
https://doi.org/10.5194/hess-22-5817-2018
Hydrol. Earth Syst. Sci., 22, 5817–5846, 2018
https://doi.org/10.5194/hess-22-5817-2018

Research article 13 Nov 2018

Research article | 13 Nov 2018

The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset

Camila Alvarez-Garreton et al.

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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) (25 May 2018) by Jan Seibert
AR by Camila Alvarez-Garreton on behalf of the Authors (20 Jun 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Jun 2018) by Jan Seibert
RR by Anonymous Referee #1 (24 Jul 2018)
RR by Margarita Saft (31 Jul 2018)
RR by Anonymous Referee #4 (08 Aug 2018)
ED: Publish subject to minor revisions (review by editor) (21 Aug 2018) by Jan Seibert
AR by Camila Alvarez-Garreton on behalf of the Authors (31 Aug 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (19 Sep 2018) by Jan Seibert
AR by Camila Alvarez-Garreton on behalf of the Authors (29 Sep 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (03 Oct 2018) by Jan Seibert
AR by Camila Alvarez-Garreton on behalf of the Authors (08 Oct 2018)  Author's response    Manuscript
ED: Publish as is (25 Oct 2018) by Jan Seibert
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Short summary
CAMELS-CL provides a catchment dataset in Chile, including 516 catchment boundaries, hydro-meteorological time series, and 70 catchment attributes quantifying catchments' climatic, hydrological, topographic, geological, land cover and anthropic intervention features. By using CAMELS-CL, we characterise hydro-climatic regional variations, assess precipitation and potential evapotranspiration uncertainties, and analyse human intervention impacts on catchment response.