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.

Astitha and her research group are at the forefront of exploring ways to improve weather prediction using AI and machine learning to enhance existing physics-based models. They developed new methods ...

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 ...

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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 ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly urgent. Floods, heatwaves, droughts, and air pollution events are placing a ...

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 ...