CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil

Chagas, Vinícius B. P.; Chaffe, Pedro L. B.; Addor, Nans; Fan, Fernando M.; Fleischmann, Ayan S.; Paiva, Rodrigo C. D.; Siqueira, Vinícius A.

doi:https://doi.org/10.5194/essd-12-2075-2020

Articles | Volume 12, issue 3

https://doi.org/10.5194/essd-12-2075-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Collection:

Catchment Attributes and Meteorology for Large-sample Studies...

https://doi.org/10.5194/essd-12-2075-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 3

Data description paper

|

08 Sep 2020

Data description paper |

| 08 Sep 2020

CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil

Vinícius B. P. Chagas, Pedro L. B. Chaffe, Nans Addor, Fernando M. Fan, Ayan S. Fleischmann, Rodrigo C. D. Paiva, and Vinícius A. Siqueira

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Final revised paper (published on 08 Sep 2020)
Preprint (discussion started on 23 Apr 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of “CAMELS-BR: Hydrometeorological time series and landscape attributes for 897 catchments in Brazil” by Chagas et al.', Wouter Knoben, 28 Apr 2020
RC2: 'excellent new dataset.', Anonymous Referee #2, 28 Apr 2020
RC3: 'Excellent data sets : "CAMELS-BR: Hydrometeorological time series and landscape attributes for 897 catchments in Brazil" by Chagas et al.', Thibault Mathevet, 07 Jun 2020
AC1: 'Responses to Reviewers 1 to 3', Vinícius B P Chagas, 16 Jul 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Vinícius B. P. Chagas on behalf of the Authors (16 Jul 2020) Author's response Manuscript

ED: Publish as is (25 Jul 2020) by Ge Peng

AR by Vinícius B. P. Chagas on behalf of the Authors (28 Jul 2020)

Short summary

We present a new dataset for large-sample hydrological studies in Brazil. The dataset encompasses daily observed streamflow from 3679 gauges, as well as meteorological forcing for 897 selected catchments. It also includes 65 attributes covering topographic, climatic, hydrologic, land cover, geologic, soil, and human intervention variables. CAMELS-BR is publicly available and will enable new insights into the hydrological behavior of catchments in Brazil.