AI-driven models, particularly those based on machine learning (ML) and deep learning (DL), such as Long Short-Term Memory ...

The research community works on this task with hydrological models, which are tools that enable them to represent processes in the hydrological cycle, and are able to obtain, for example ...

The hybrid model is engineered not just for academic precision, but to guide real-world policy on climate resilience and ...

The IAEA is launching a new research project to integrate isotope tracers into hydrological and climate modelling systems for more robust simulations of water availability.

Hydrologic models that simulate and predict water flow are used to estimate how natural systems respond to different scenarios such as changes in climate, land use, and soil management.

However, in ungauged basins, hydrological models cannot always provide realistic outcomes, since data are scarce or non-representative. In the current study, a thorough discussion is conducted about ...