Its forecasts through 15 days were significantly more accurate than one of the most well-respected traditional non-AI forecast models, according to a study published by DeepMind in the journal Nature.

The atmospheric composition model in the GEFS upgrade that integrates weather and aerosol forecasting based on the FV3 framework is the result of more than five years of model development at NOAA.

During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even ...

Researchers at Northeastern University can predict the emergence of a dengue fever outbreak with 80% accuracy—a breakthrough ...

For example, the American Global Ensemble Forecast System (GEFS) is a weather forecast model made up of 21 separate members. The European Center for Medium Range Forecast (ECMWF) runs 51 members ...

The forecasts eventually learned that prices were not going to return to previous levels, and flattened out; but almost as soon as they did, prices spiked briefly to $147. As with travel forecasts, ...

The National Hurricane Center (NHC) set a new record in 2012 for accuracy of their 1, 2, 3, and 4-day Atlantic tropical cyclone track forecasts, but had almost no skill making intensity forecasts ...

An advanced forecasting model that predicts several types of extreme weather with substantially improved accuracy has been adopted for day-to-day operational use by civilian and military weather ...

The forecasting models were differentiated into five categories namely, ensemble, epidemiological, hybrid, and machine learning. The team examined a total of 51 models.

The use of multiple models is critical in the forecast creation process, but is not without its own pitfalls. In 2012, Hurricane Sandy made landfall in New Jersey to devastating effect. Its ...