More information: Bofei Zhang et al, A Machine Learning-Based Observational Constraint Correction Method for Seasonal ...

The method could accurately predict spatial precipitation systems at scales of 2500–40000 km2, which determined local hourly precipitation frequencies. The improved estimates can be used for ...

Weather and climate experts are divided on whether AI or more traditional methods are most effective. In this new model, Google’s researchers bet on both. Researchers from Google have built a ...

An excessive rainfall forecast from the Colorado State University-Machine Learning Probabilities system for the extreme rainfall associated with the remnants of Hurricane Ida in the mid-Atlantic ...