Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …

Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

Urban flooding is a major problem for cities around the world, with significant socio-
economic consequences. Conventional real-time flood forecasting models rely on …

Real-time streamflow forecasting is essential to manage water resources effectively in a
reservoir-regulated basin. However, forecasting becomes challenging without weather and …

Reliable and precise multi-step-ahead flood forecasts are crucial and beneficial to decision
makers for mitigating flooding risks. For a river basin undergoing fast urban development, its …

Global gridded precipitation datasets have been developed using rain gauges, satellite
observations, and data assimilation techniques to fulfill the need in regions with a limited …

Reliable and accurate flood forecasting is a complex and challenging problem that is
essential for the creation of disaster preparedness plans to protect life and reduce economic …

Dengue fever is a virulent disease spreading over 100 tropical and subtropical countries in
Africa, the Americas, and Asia. This arboviral disease affects around 400 million people …

The development of a streamflow forecasting tool becomes a challenging task due to the
sophisticated nonlinear catchment response, varying crop management practices, and …