Hydrological modeling is an important tool for water resources management, providing a
feasible solution to represent the main hydrological processes and predict future streamflow …

Climate change has increased the frequency of extreme weather events and, consequently,
the number of occurrences of natural disasters. In Brazil, among these disasters, floods …

Flash floods and extreme rains are destructive phenomena and difficult to forecast. In 2011,
the mountainous region of Rio de Janeiro state suffered one of the largest natural hazards in …

The assessment of seasonal streamflow forecasting is essential for appropriate water
resource management. A suitable seasonal forecasting system requires the evaluation of …

Natural disasters have been responsible for thousands of deaths in recent decades that,
added to the environmental, social and economic impacts, require the implementation of …

The increase in global air temperatures as well as variability in rainfall shifts due to climate
change has been affecting the dynamics of water level fluctuations and thermal regimes in …

Streamflow forecasting plays a crucial role in the operational planning of hydro-dominant
power systems, providing valuable insights into future water inflows to reservoirs and …

Forecasting rainfall is essential for warning of issues and mitigating natural disasters. For
this purpose, employing numerical weather models, even with their uncertainties, can …

Predicting in ungauged basins (PUB) depends on the modelling uncertainties in the donor
catchments (DCs). However, PUB is normally limited to a unique outcome, which may be …

Brazil has a large availability of natural resources, and its economy was historically built
around their exploitation. Changes in climate trends are already causing several …