New research evaluates the performance of generative adversarial networks for stochastic parameterizations.
Forecasting
What Is Left in the Air After a Wildfire Depends on Exactly What Burned
Forecasting air quality after a wildfire is improving, thanks to more-refined models that measure the biomass going into the blaze and the emissions coming out.
Yet Again, Warmer Winter Looms for U.S.
NOAA’s winter forecasts are less confident than usual except in Alaska and Hawaii. Expect to see a lot of weather variability in the coming months.
Artificial Intelligence May Help Predict El Niño
Deep learning techniques give scientists the longest–lead time forecasts yet.
Forecasting Solar Storms in Real Time
Predicting when solar storms will hit Earth remains a tricky business. To help, scientists can now submit their forecasts of coronal mass ejections online as they unfold in real time.
Salinity from Space Improves El Niño Forecasts
Assimilating satellite observations of ocean surface salinity significantly improves coupled model forecasts of El Niño.
Using Multiple Models to Improve Seasonal Forecasting
The first study to examine the ability of a suite of general circulation models to predict sudden warmings in Earth’s stratosphere highlights the potential for improving Northern Hemisphere forecasts.
Assessing the Benefits of Improved Space Weather Forecasting
A new framework assesses the economic impact of space weather on power distribution networks and the supply of electricity.
Bridging the Weather-to-Climate Prediction Gap
A task force of researchers set out to bridge the gap between the 2-week weather forecast and long-term climate predictions; their findings could help in forecasting the likelihood of extreme events.
Challenges and Opportunities in Coastal Prediction
Mooers Coastal Ocean and Atmosphere Prediction Workshop; Mount Hood, Oregon, 15 September 2018