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Welcome to the home page of Greg Herman!

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I am in my fifth year as a graduate student in the Schumacher Research Group at the Colorado State University Department of Atmospheric Science and am currently a PhD candidate. My research primarily focuses on the use of machine learning and other statistical techniques for weather forecasting, particularly in the areas of heavy precipitation and severe weather phenomena. I also conduct research in the related areas of forecast verification and ensemble methods. I graduated from University of Washington in June 2013 with a Bachelor of Science majoring in Atmospheric Science, Computer Science, and Physics. In my spare time, my primary hobby is playing duplicate bridge; I have represented the US in international competition on multiple occasions. If you'd like to learn more, read my bridge page here: Bridge

For a list of my publications, Click Here

For my CV, Click Here

Much of my research involves creating forecast algorithms to predict a variety of weather phenomena. Many of these algorithms are employed in real-time to produce real-time forecast guidance. It should be noted that this guidance is not operational, and may experience delays. Work is currently underway to implement a version of the locally extreme precipitation forecast guidance, below, operationally at the Weather Prediction Center (WPC) to assist forecasters with the creation of their Excessive Rainfall Outlooks. Guidance below is typically updated daily by 1700 UTC. Guidance currently running in real-time includes:

Extreme Precipitation Forecasting

Aviation CIG/VIS Forecasting

Severe Weather Forecasting