A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful research capabilities with accessibility for students and scientists alike.

Europe's top weather forecaster said on Wednesday it had opened access to real-time data in a move that will support early warning systems for extreme weather events across the globe.

Artificial intelligence models have improved weather forecasting, but their inner workings are largely opaque. A new approach could make their predictions more interpretable by scientists.

Europe’s biggest weather forecaster is reporting record demand for its data, as energy traders, insurers, shipping lines and tech companies rush to improve the accuracy of their AI models.

Designed for education, adaptable for research—the new Python-based framework makes climate dynamics more approachable for students and ...

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical equations can approximate the underlying physics of weather, tiny ...

A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful research capabilities with accessibility for students and scientists alike.

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Research is also rapidly advancing to expand the use of AI for forecasts weeks to months ahead, which helps farmers in making planting choices. AI models are already being tested for improving extreme ...

Abstract: The high integration of photovoltaic (PV) systems introduces significant grid instability and randomness to distribution networks. Understanding PV power output is crucial for improving grid ...

Earthmover found new customers when it started building tools for companies to analyze the output of weather models. The startup has now raised a $7.2 million seed round.