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 ...

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

Wuhan University) integrated reconstructed data and (global climate and hydrological) model simulations to better ...

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.

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