Subseasonal-to-seasonal (S2S) forecasting plays a significant role in the early warning of extreme weather events and disaster risk prevention, but its predictive capability remains limited. Extreme ...

Ensemble modeling is the process of running two or more related but different analytical models and then synthesizing the results into a single score or spread. This improves the accuracy of ...

To prepare for extreme heat waves around the world—particularly in places known for cool summers—climate-simulation models that include a new computing concept may save tens of thousands of lives. The ...

What is boosting in machine learning? Boosting in machine learning is a technique for training a collection of machine learning algorithms to work better together to increase accuracy, reduce bias and ...