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.

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 ...

Weather forecasting has gotten a big boost from machine learning. How that translates into what users see can vary.

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 ...

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 ...

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 ...

IMD has established a dedicated functional group on the “Application of AI/ML in weather and climate,” and the scientists of ...

WELLINGTON, March 25 (Xinhua) -- Scientists in New Zealand have developed an artificial intelligence (AI) tool that can predict wildfire risk up to 30 times faster than many current systems.

Amperon, a leading provider of AI-powered energy forecasting and analytics solutions, today announced the launch of its ...

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 ...