FEMA issued new guidance yesterday advising states to prepare for evacuations during the pandemic.
forecasting
Posted inResearch Spotlights
Space Weather Forecasting Takes Inspiration from Meteorology
Solar features analogous to major atmospheric waves on Earth could offer more advanced warning of harmful solar storms.
Posted inResearch Spotlights
Tracing the Past Through Layers of Sediment
Signals in layers of sedimentary rock hint at climates and ecosystems come and gone. Understanding this history can help us forecast the future, but challenges abound.
Posted inFeatures
Lightning Research Flashes Forward
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.
Posted inNews
Are Cosmic Rays a Key to Forecasting Volcanic Eruptions?
A combination of relativistic particles and artificial intelligence may provide a new way to forecast when a volcano could erupt.
Posted inResearch Spotlights
An Element of Randomness in Modeling Arctic Ice Cover
Incorporating random variation of temperature, humidity, and wind offers a computationally cheap alternative to improving resolution in an Earth system model when predicting when Arctic sea ice will disappear.
Posted inResearch Spotlights
Machine Learning Improves Weather and Climate Models
New research evaluates the performance of generative adversarial networks for stochastic parameterizations.
Posted inResearch Spotlights
Evaluating Cloud Cover Predictions in Climate Models
A new analysis highlights progress in predictions of cloud cover from models that are part of the Coupled Model Intercomparison Project.
Posted inNews
Combining AI and Analog Forecasting to Predict Extreme Weather
New deep learning technique brings an obsolete forecasting method “back to life” to predict extreme weather events.
Posted inNews
New Study Hints at Bespoke Future of Lightning Forecasting
Researchers used machine learning to develop a model that can predict lightning strikes to within 30 minutes of their occurrence and within 30 kilometers of a weather station by using just four simple atmospheric measurements.