New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

The Indian government is utilizing AI and machine learning to enhance early warnings for extreme weather events. An amendment enables the formation of Urban Disaster Management Authorities, focusing ...

A new way to solve data scarcity: Turning qualitative reports into quantitative data with an LLM.

The research was supported by the National Science Foundation, State of Minnesota Weather Ready Extension, and Minnesota Pollution Control Agency. The research was done in collaboration with the ...

TAOS — Kit Carson Electric Cooperative is turning to cutting-edge technologies to better assess and respond to wildfire as ...

An international AI weather competition that sees teams from all over the world compete to produce the most accurate three to four-week weather ...

The proposed approach reduces computational cost while maintaining high predictive accuracy, making it suitable for large-scale applications JEONBUK-DO, South Korea, March 16, 2026 /PRNewswire/ -- ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Over the past year, the UK’s national weather and climate services have undergone one of the most significant technological shifts in their history.

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.