Journal cover Journal topic
Earth System Science Data The data publishing journal
Journal topic

Journal metrics

IF value: 9.197
IF9.197
IF 5-year value: 9.612
IF 5-year
9.612
CiteScore value: 12.5
CiteScore
12.5
SNIP value: 3.137
SNIP3.137
IPP value: 9.49
IPP9.49
SJR value: 4.532
SJR4.532
Scimago H <br class='widget-line-break'>index value: 48
Scimago H
index
48
h5-index value: 35
h5-index35
ESSD | Articles | Volume 12, issue 3
Earth Syst. Sci. Data, 12, 2075–2096, 2020
https://doi.org/10.5194/essd-12-2075-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 12, 2075–2096, 2020
https://doi.org/10.5194/essd-12-2075-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
Download
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.
We present a new dataset for large-sample hydrological studies in Brazil. The dataset...
Citation