Meet Michael Scheuerer

CIRES research scientist Michael Scheuerer joined PSL's Forecast and Modeling Development Team in November 2013. Along with his science advisor, Tom Hamill, and other colleagues on the team he is developing statistical algorithms and forecast products providing probabilistic forecasts for precipitation amounts, precipitation type, and snowfall amounts over the United States based on the output of global ensemble prediction systems like the GEFS. Michael is also involved in a project aiming to improve streamflow prediction for a number of river basins in California, and two projects that explore the use of statistical post-processing methods for improving hub height wind speed predictions based on model output of the HRRR on the one hand and the GEFS on the other hand. In addition to statistical calibration techniques, he is developing methods for the verification of spatio-temporal forecast trajectories.

Michael received his PhD in Mathematics from the University of Göttingen (Germany), and went on a postdoc at the University of Heidelberg (Germany) where he developed his research focus on probabilistic weather forecasting and forecast verification while collaborating with the German Meteorological Service (DWD). As of June 2016, he serves as an Associate Editor for the Annals of Applied Statistics. Outside of work, Michael is an outdoor enthusiast enjoying rock climbing, mountain biking, backcountry skiing and canyoneering.

More information about Michael can be found on his staff profile page.