Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the growing effects of global ...

As reservoir levels dwindle in the Southwest, scientists have developed a method to estimate summer rainfall in the region months in advance. These seasonal predictions can enable state and local ...

An Osaka Metropolitan University-led research team used hourly precipitation data from 1981 to 2020 and spatial modeling to predict extreme ...

Land use, or what humans use their land for like agriculture, residential, or industrial purposes, has a big impact on the water quality of a stream or lake. Impervious surfaces cause water to move ...

Measuring rainfall is complex, due to the high temporal and spatial variability of precipitation, especially in a changing climate, but it is of great importance for all the scientific and operational ...

Researchers at Google AI employed a trained convolutional neural network in nowcasting precipitation. The results were instantaneous and more accurate than traditional methods in certain scenarios. A ...

Bayesian model averaging (BMA) is a popular ensemble-based postprocessing approach where the weighted average of the individual members is used to generate predictive forecasts. As the BMA formulation ...