Federal University of Mato Grosso do Sul, Brazil
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Affiliated Works
sorted by decreasing year, and then by display-name
- The 4.8 mb Intraplate Earthquake of 2009 in the Pantanal Wetlands, Western Brazil
- Channel Base Current Model for Negative Multiple Cloud-to-ground Lightning
- Curve Number estimation from rainfall-runoff data in the Brazilian Cerrado Biome
- Limnogeological evidence of tropical floodplain responses to environmental change on a distal fluvial megafan, Pantanal, Brazil
- The Future of Water Security in Metropolitan Region of Sao Paulo Through Different Climate Scenarios
- Assessing Integrated Agricultural Systems for Developing Food Security
- Disentangling local and regional climatic controls on vegetation and the flood pulse in the Pantanal, the world's largest tropical wetland
- Food-Energy-Water Security Considering Climate and Land Use Changes in the São Francisco River Basin
- Hydromorphodynamics of a Large River Confluent Meander Bend Through the Seasonal Flood Wave: Pantanal Wetlands, Brazil
- Lake infill in the South American lowlands: Effect on water resources and terrestrialization processes
- Microfossil and Stratigraphic Evidence for Late Quaternary Paleoenvironmental Changes at Lagoa Negra, Central Pantanal Wetlands (Brazil)
- Particle Image Velocimetry Analysis for the Assessment of Bedload Sampling Using Helley-Smith
- Performance Evaluation of HadGEM2-ES and MIROC5 Downscaled Rainfall Simulations over Brazil
- Projected Climate Change Effects on Water Availability of the Metropolitan Region of São Paulo
- Soil erosion and sediment dynamics in urban basins under land use and climate change
- Water Partitioning Trade-offs due to Different Land Covers and Land Uses in the Brazilian Cerrado
- A Budyko-type formulation for baseflow and direct runoff.
- Soil Erosion and Sediment Yield Estimating on Multiple Spatial and Temporal Scales
- A data-based approach for the estimation of streamflow components
- Continental-Scale Mapping of Extreme Precipitation for Durations Ranging from Sub-Hourly to Monthly Using a Gridded Stochastic Dataset