Preprints
https://doi.org/10.5194/hess-2020-521
https://doi.org/10.5194/hess-2020-521

  14 Oct 2020

14 Oct 2020

Review status: this preprint is currently under review for the journal HESS.

CABra: a novel large-sample dataset for Brazilian catchments

André Almagro1, Paulo Tarso S. Oliveira1, Antônio Alves Meira Neto2, Tirthankar Roy3, and Peter Troch4 André Almagro et al.
  • 1Faculty of Engineering and Geography, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
  • 2Institute of Climate Studies, Federal University of Espírito Santo, Vitória, ES, Brazil
  • 3Civil and Environmental Engineering, University of Nebraska-Lincoln, Omaha, NE, United States
  • 4Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, AZ, United States

Abstract. In this paper, we present the Catchments Attributes for Brazil (CABra), which is a large-sample dataset for Brazilian catchments that includes long-term data (30 years) for 735 catchments in eight main catchment attribute classes (climate, streamflow, groundwater, geology, soil, topography, land-cover, and hydrologic disturbance). We have collected and synthesized data from multiple sources (ground stations, remote sensing, and gridded datasets). To prepare the dataset, we delineated all the catchments using the Multi-Error-Removed Improved-Terrain Digital Elevation Model and the coordinates of the streamflow stations provided by the Brazilian Water Agency, where only the stations with 30 years (1980–2010) of data and less than 10 % of missing records were included. Catchment areas range from 9 to 4 800 000 km2 and the mean daily streamflow varies from 0.02 to 9 mm d-1. Several signatures and indices were calculated based on the climate and streamflow data. Additionally, our dataset includes boundary shapefiles, geographic coordinates, and drainage area for each catchment, aside from more than 100 attributes within the attribute classes. The collection and processing methods are discussed along with the limitations for each of our multiple data sources. The CABra intends to improve the hydrology-related data collection in Brazil and pave the way for a better understanding of different hydrologic drivers related to climate, landscape, and hydrology, which is particularly important in Brazil, having continental-scale river basins and widely heterogeneous landscape characteristics. In addition to benefitting catchment hydrology investigations, CABra will expand the exploration of novel hydrologic hypotheses and thereby advance our understanding of Brazilian catchments' behavior. The dataset is freely available at https://doi.org/10.5281/zenodo.4070147.

André Almagro et al.

 
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André Almagro et al.

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CABra: a novel large-sample dataset for Brazilian catchments André Almagro, Paulo Tarso S. Oliveira, Antônio Alves Meira Neto, Tirthankar Roy, and Peter Troch https://doi.org/10.5281/zenodo.4070146

André Almagro et al.

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Short summary
We have collected and synthesized catchment attributes from multiple sources into an extensive dataset, the Catchment Attributes for Brazil (CABra). The CABra contains streamflow and climate daily series for 735 catchments in the 1980–2010 period, aside from dozens of attributes of topography, climate, streamflow, groundwater, soil, geology, land-cover, and hydrologic disturbance. The CABra intends to pave the way for a better understanding of catchments' behavior in Brazil and the world.