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

Data sets

CAMELS-BR: Hydrometeorological time series and landscape attributes for 897 catchments in Brazil - link to files Vinícius B. P. Chagas, Pedro L. B. Chaffe, Nans Addor, Fernando M. Fan, Ayan S. Fleischmann, Rodrigo C. D. Paiva, and Vinícius A. Siqueira https://doi.org/10.5281/zenodo.3709337

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.