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 ...

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

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 ...

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 ...

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 ...

Today, just over 100 days after the launch into production of the world first openly available 24/7 operational AI forecast model AIFS-Single, ECMWF (European Centre for Medium-Range Weather Forecasts ...

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 ...

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 ...