With enough sensors, traditional forecasting methods could be replaced by models continuously updated with real-time wave data.
forecasting
Was the Recent Slowdown in Surface Warming Predictable?
The temporary deceleration in warming across the Northern Hemisphere earlier this century could not have been foreseen by statistical forecasting methods, a new study concludes.
Improving the Identification of Extreme Precipitation Trends in the U.S.
By greatly reducing the associated uncertainty, a new model is better able to discern statistically significant trends, offering the potential to improve the seasonal forecasting of rare events.
Forecasting India's Water Future
The NORINDIA project sheds light on how climate change could affect monsoons, droughts, and glaciers in northern India.
Toward an Understanding of Earth-Affecting Solar Eruptions
Coronal mass ejection forecasting improves with technological developments and increasing availability of data.
Could We Have Predicted What El Niño Would Bring?
Researchers take a retrospective look to see if precipitation and flooding due to El Niño could have been predicted a priori.
New Solar Wind Model Could Improve Space Weather Forecasts
Real-world data drive a simulation that successfully predicts Sun structures and interplanetary solar wind dynamics.
Sun's Magnetic Fields Best at Forecasting Solar Cycle Peaks
Models based on the Sun's polar magnetic fields performed best in simulating the solar cycle and predicting solar behavior.
Solar Storms Are More Predictable Than Hurricanes
An encouraging new study finds that solar storms don't propagate chaotically like hurricanes—their arrivals are more predictable, which should make it easier for our planet to prepare for them.
New Space Weather Forecast Technique Fails to Improve Forecasts
For years, scientists have proposed upgrading the National Oceanic and Atmospheric Administration's solar storm forecasts to account for their tilt as they streak toward Earth. But does it help?
