Hydrological models represent water movement in natural systems, and they are important for water resource planning and management. But the models depend on reliable input data for weather factors, and precipitation can be very difficult to measure and represent accurately. A recent study in Environmental Modelling & Software by an international research team describes a novel method to better represent precipitation uncertainty in hydrological models, thereby improving their performance.

Hydrological models represent water movement in natural systems, and they are important for water resource planning and management. But the models depend on reliable input data for weather factors, and precipitation can be very difficult to measure and represent accurately. A recent study in Environmental Modelling & Software by an international research team describes a novel method to better represent precipitation uncertainty in hydrological models, thereby improving their performance.

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