Daily travel plans and early warnings for extreme weather all rely on traditional numerical weather prediction. However, both ...

This Collection supports and amplifies research related to SDG13 Climate Action. Artificial Intelligence is transforming the landscape of numerical weather prediction (NWP), offering new pathways to ...

(a) The OGWD acts to decelerate the low-level easterly flow, which enhances the blocking effect of the model-resolved orography on the low-level mesoscale vortex. Consequently, the vortex stays to the ...

The National Hurricane Center is leaning into AI to predict storm tracks faster than ever. Here is what it means for your ...

The adoption of numerical weather prediction (NWP) in 1965 marked a turning point, ushering in an era of scientific advancement, technological innovation and ever-improving forecast accuracy. As we ...

Weather sensitive sectors of society include those involved with energy generation, agriculture, forestry, fisheries, construction, recreation, tourism, transportation and navigation, public utilities ...

Crystal ball: In its first hurricane season, Google's Deepmind AI framework not only matched decades of human expertise but surpassed the output of two of the world's most advanced supercomputer ...

After a merciful lack of hurricanes in the U.S. and an unusually quiet Gulf of Mexico, the 2025 Atlantic hurricane season wasn’t too memorable in Louisiana. But the season will be remembered for ...

In the current NEXRAD system, automated products derived from radar base data provide important information directed toward specific needs and users. These products have provided valuable support to ...