By including imprecise historical written records in their calculations, researchers were able to decrease uncertainty in estimations of future flood frequency.
forecasting
New Flood Model Offers National Streamflow Coverage
The model, released by the National Weather Service, will provide neighborhood-level flood forecasting.
Forecasting Space Weather Like Earth Weather
Researchers find that as with terrestrial weather, ensemble forecasting—which uses several different models simultaneously—is the best way to produce accurate and precise forecasts of space weather.
Model Predicts Heights of Rogue Waves
Rogue waves form without warning and can tower more than 25 meters high. A new mathematical approach shows promise at simulating how high these waves can be.
Adapting Weather Forecasting Techniques to Paleoclimate Studies
First results of the Last Millennium Climate Reanalysis Project demonstrate the potential of the method to improve historical climate estimates by linking proxy data with climate models.
Defining the Onset and End of the Indian Summer Monsoon
A new, objective definition of the onset of the summer monsoon could improve predictions of rainfall in India.
Space Weather Research and Forecasting Act Introduced to Senate
This bill is a welcome and proactive effort to align all federal agencies to act in the nation's best interest when it comes to forecasting and responding to extreme space weather events.
Streamlining Rapid Tsunami Forecasting
With enough sensors, traditional forecasting methods could be replaced by models continuously updated with real-time wave data.
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.