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NMME Workshop – Meeting Future Needs…June 21-22, 2023

This two-day hybrid workshop will be hosted out of the NOAA Center for Weather and Climate Prediction in College Park, MD. Day 1 activities will provide a historical perspective on the NMME and highlight existing use/needs cases. Day 2 participants will delve into how the NMME fits into the research community and collaboratively set the future for NMME to explore unmet needs.

CSU machine learning model helps forecasters improve confidence in storm prediction

Over the last several years, Russ Schumacher, professor in the Department of Atmospheric Science and Colorado State Climatologist, has led a team developing a sophisticated machine learning model for advancing skillful prediction of hazardous weather across the continental United States. First trained on historical records of excessive rainfall, the model is now smart enough to make accurate predictions of events like tornadoes and hail four to eight days in advance – the crucial sweet spot for forecasters to get information out to the public so they can prepare. The model is called CSU-MLP, or Colorado State University-Machine Learning Probabilities.