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.

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of Earth's surface comes down to complex microphysical processes, and as ...

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 ...

How Earth-2 uses AI and GPU hardware to make forecasts. Weather-pattern simulations created with Nvidia’s Omniverse. How GraphCast predicts weather a week-plus in advance. NVIDIA developed an AI ...

OKLAHOMA CITY — Artificial intelligence is everywhere from our smartphones to self-driving cars, even at the grocery store. Everything is getting smarter. So, why shouldn't severe weather forecasts ...

ATLANTA — A new milestone in weather forecasting has been achieved as the year closes – with NOAA’s release of new artificial intelligence weather models. The AI models, developed under an initiative ...

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

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 ...

The Aardvark Weather machine learning algorithm is much faster than traditional systems and can work on a desktop computer. When you purchase through links on our site, we may earn an affiliate ...

Rainbow Weather raises $5.5M to scale its AI-driven weather forecasts, expanding beyond precipitation insights into enterprise forecasting.