Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

When Hurricane Melissa spun up unexpectedly in the Atlantic earlier this month, traditional forecasting models were caught off guard by its rapid intensification. Yet weather models using artificial ...

A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...

The University of Connecticut has partnered with Eversource, the state’s lead energy provider, in a research effort to predict extreme weather events and their effects on energy systems and ...

Weather experts have something remarkable to celebrate right now. Our ability to predict conditions over the coming season ...

Adeleye Olaniyan, data scientist, has emphasized the transformative potential of machine learning in predicting and mitigating the impacts of extreme weather events in Nigeria. Speaking at a recent ...

For more than 30 years, the models that researchers and government agencies use to forecast earthquake aftershocks have remained largely unchanged. While these older models work well with limited data ...

Open Climate Fix says its Quartz Solar tool saves Great Britain’s grid operator GBP 30 million ($39 million) per year through ...