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.

On 30 March 2026 a 1-day workshop will be organized at CWI by AIMET-NL, the newly initiated Dutch research network on AI for Weather & Climate. The topic of this meeting is Scientific Machine Learning ...

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 ...

This study was led by Professor Qi Zhong and Professor Xiuping Yao from the China Meteorological Administration Training Center, and Assistant Engineer Zhicha Zhang from the Zhejiang Meteorological ...

Researchers have developed Aardvark Weather, the first machine learning system that generates accurate global and local weather forecasts directly from observational data—eliminating the need for ...

PALM BEACH, Fla., Dec. 12, 2024 (GLOBE NEWSWIRE) -- FN Media Group News Commentary - Most industry insiders believe that Quantum Computing is potentially a better fit for weather forecasting than ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

ZenaTech Inc. ZenaTech Launches Quantum Computing Project for Traffic Optimization and Weather Forecasting Using Drones 12-Dec-2024 / 14:00 CET/CEST The issuer is solely responsible for the content of ...

Rocket launch providers, satellite operators, and even aviation companies rely on accurate predictions about “space weather,” like solar flares and geomagnetic storms, to inform their operations. But ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...