Ensemble models are one tool to narrow down possibilities of a complicated weather forecast more than a few days away.

Bracken, C., B. Rajagopalan, and J. Prairie. “A Multisite Seasonal Ensemble Streamflow Forecasting Technique,” Water Resources Research, 46, 2010. Abstract: We present a technique for providing ...

Subseasonal-to-seasonal (S2S) forecasting plays a significant role in the early warning of extreme weather events and disaster risk prevention, but its predictive capability remains limited. Extreme ...

NOAA’s Global Ensemble Forecast System (GEFS) is undergoing significant upgrades to expand its capabilities and improve weather forecasting. Meteorologists at the National Weather Service use GEFS to ...

Representative Scott Franklin ( R-FL) applauded the National Oceanic and Atmospheric Administration's (NOAA) introduction of artificial intelligence (AI) into its weather forecasting systems, calling ...

Satish K. Regonda, Balaji Rajagopalan, Martyn Clark, and Edith Zagona (2006). “A Multimodel Ensemble Forecast Framework: Application to Spring Seasonal Flows in the Gunnison River Basin,” Water ...

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

An extreme rainfall event occurred in Beijing, China, on 21 July 2012. The average 24-hr accumulated rainfall across rain gauge stations in the city was 190 mm, which is the highest in Beijing's ...

Combining a multitude of predictions and projections, modeling teams hone the uncertainty. Earlier this spring, a paper studying covid forecasting appeared on the medRxiv preprint server with an ...