New IAEA project to enhance water forecasting

Traditional hydrological models struggle under climate change conditions, as increasing CO₂ levels make forecasting rainfall and groundwater recharge more uncertain.

Isotope-enabled models offer greater accuracy by tracking how water moves through the cycle using isotope data. However, limited and incomplete datasets have hindered their wider use. The IAEA’s CRP will address this by filling data gaps, using artificial intelligence and machine learning to simulate missing inputs, and testing flexible model integration approaches.

Find out more about the project here.