Microscale modeling can be used to understand and predict urban weather with sufficient detail to inform and support flight safety for crewed and uncrewed aerial vehicles.
An early-warning system establishes international networks to help communities manage severe weather on Africa’s largest lake.
Using data from weather stations on and around Mount Everest, scientists find that the Khumbu Glacier receives most of its moisture from the Bay of Bengal.
WeatherBench is a data set compiled to serve as a standard for evaluating new approaches to artificial intelligence–driven weather forecasting.
Rapid temperature spikes in the stratosphere above Antarctica can influence weather and spark cyclones in the Northern Hemisphere’s tropics.
The Fujiwhara effect—complex interactions between large storms nearby each other—can steer hurricanes and tropical storms but doesn’t typically create colossal tempests.
A special collection on subseasonal-to-seasonal prediction presents the latest progress in filling the gap between short-term weather prediction and longer-term climate prediction.
A greater understanding of lightning mechanisms is spurring the development of more accurate weather forecasting, increased public health precautions, and a more sophisticated understanding of lightning itself.
Recent advances in machine learning hold great potential for converting a deluge of data into weather forecasts that are fast, accurate, and detailed.
Arctic Warming and East Asia Weather Linkage Workshop; Incheon, South Korea, 13 May 2019