Articles | Volume 25, issue 6
https://doi.org/10.5194/hess-25-3105-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-3105-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Jun 2021
Research article |
| 09 Jun 2021
| 09 Jun 2021
CABra: a novel large-sample dataset for Brazilian catchments
Faculty of Engineering and Geography, Federal University of Mato
Grosso do Sul, Campo Grande, MS, Brazil
Paulo Tarso S. Oliveira
Faculty of Engineering and Geography, Federal University of Mato
Grosso do Sul, Campo Grande, MS, Brazil
Antônio Alves Meira Neto
Institute of Climate Studies, Federal University of Espírito
Santo, Vitória, ES, Brazil
Tirthankar Roy
Civil and Environmental Engineering, University of Nebraska–Lincoln, Omaha, NE, United States
Peter Troch
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, AZ, United States
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34 citations as recorded by crossref.
- DAM-IN: Comprehensive Dam Catchment Attributes for Dam Safety Studies in India M. Tiwari & S. Aadhar 10.1038/s41597-025-05954-1
- Dynamic quantile regression for trend analysis of streamflow time series L. Lima et al. 10.1002/rra.3983
- Are Brazilian catchments gaining or losing water? The effective area of tropical catchments D. Schwamback et al. 10.1002/hyp.14535
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- Improving trans-regional hydrological modelling by combining LSTM with big hydrological data S. Tang et al. 10.1016/j.ejrh.2025.102257
- Proximal sensor data fusion and auxiliary information for tropical soil property prediction: Soil texture R. Andrade et al. 10.1016/j.geoderma.2022.115936
- A Worrying Future for River Flows in the Brazilian Cerrado Provoked by Land Use and Climate Changes Y. Salmona et al. 10.3390/su15054251
- BULL Database – Spanish Basin attributes for Unravelling Learning in Large-sample hydrology J. Senent-Aparicio et al. 10.1038/s41597-024-03594-5
- Modeling unsteady and steady 1D hydrodynamics under different hydraulic conceptualizations: Model/Software development and case studies M. Gomes et al. 10.1016/j.envsoft.2023.105733
- Land use and land cover changes and their impacts on surface-atmosphere interactions in Brazil: A systematic review C. Caballero et al. 10.1016/j.scitotenv.2021.152134
- CLIMBra - Climate Change Dataset for Brazil A. Ballarin et al. 10.1038/s41597-023-01956-z
- Widespread potential for streamflow leakage across Brazil J. Uchôa et al. 10.1038/s41467-024-54370-3
- A generalized water-energy complementary model for hydrological partitioning B. Yan & S. Du 10.1016/j.jhydrol.2025.134230
- CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland M. Höge et al. 10.5194/essd-15-5755-2023
- Where should hydrology go? An early-career perspective on the next IAHS Scientific Decade: 2023–2032 T. van Hateren et al. 10.1080/02626667.2023.2170754
- Atlas of precipitation extremes for South America and Africa based on depth-duration-frequency relationships in a stochastic weather generator dataset A. Fullhart et al. 10.1016/j.iswcr.2023.01.004
- Varying performance of eight evapotranspiration products with aridity and vegetation greenness across the globe H. Wang et al. 10.3389/fenvs.2023.1079520
- Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling J. Andrade et al. 10.1016/j.jhydrol.2024.131016
- Hydrological signatures in Brazilian catchments: a machine learning approach for spatial estimates G. de Oliveira Correa et al. 10.1080/02626667.2024.2446265
- Assessment of Bottom-Up Satellite Precipitation Products on River Streamflow Estimations in the Peruvian Pacific Drainage J. Qquenta et al. 10.3390/rs16010011
- Assessment of bottom-up satellite rainfall products on estimating river discharge and hydrologic signatures in Brazilian catchments A. Almagro et al. 10.1016/j.jhydrol.2021.126897
- CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India N. Mangukiya et al. 10.5194/essd-17-461-2025
- Temporal hydrological drought clustering varies with climate and land-surface processes M. Brunner & K. Stahl 10.1088/1748-9326/acb8ca
- Time shift between precipitation and evaporation has more impact on annual streamflow variability than the elasticity of potential evaporation V. Andréassian et al. 10.5194/hess-29-5477-2025
- CAMELS-FR dataset: a large-sample hydroclimatic dataset for France to explore hydrological diversity and support model benchmarking O. Delaigue et al. 10.5194/essd-17-1461-2025
- Hydrological response of a headwater catchment in Southeast Brazil—Threshold patterns of stormflow response M. Chittolina et al. 10.1002/hyp.14879
- A framework on utilizing of publicly availability stream gauges datasets and deep learning in estimating monthly basin-scale runoff in ungauged regions M. Le et al. 10.1016/j.advwatres.2024.104694
- ESTIMET: Enhanced and Spatial-Temporal Improvement of MODIS EvapoTranspiration algorithm for all sky conditions in tropical biomes C. Claudino et al. 10.1016/j.rse.2025.114771
- Gridded 20-year climate parameterization of Africa and South America for a stochastic weather generator (CLIGEN) A. Fullhart et al. 10.1080/20964471.2022.2136610
- Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments S. Rana & S. Chavan 10.1016/j.ejrh.2025.102503
- Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil L. Kuana et al. 10.5194/hess-28-3367-2024
- Brazil’s Daily Precipitation Concentration Index (CI) Using Alternative Fitting Equation and Ensemble Data G. Núñez-González 10.3390/hydrology11120214
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- Assessment of water availability vulnerability in the Cerrado D. Althoff et al. 10.1007/s13201-021-01521-2
- The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long‐Term Streamflow Components A. Ballarin et al. 10.1029/2022WR032413
- CABra: a novel large-sample dataset for Brazilian catchments A. Almagro et al. 10.5194/hess-25-3105-2021
- Improved Grunsky method for streamflow prediction in ungauged catchments B. Marchezepe et al. 10.1080/02626667.2024.2446278
- Brazilian Water Security Threatened by Climate Change and Human Behavior A. Ballarin et al. 10.1029/2023WR034914
Latest update: 25 Oct 2025
Short summary
We have collected and synthesized catchment attributes from multiple sources into an extensive dataset, the Catchment Attributes for Brazil (CABra). 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.
We have collected and synthesized catchment attributes from multiple sources into an extensive...
