Department of Climate and Space Sciences and Engineering in the College of Engineering at the University of Michigan

CLaSP Special Seminar - Dr. Tom Hamill

Date: March 27, 2018
Time: 3:00 pm - 4:00 pm
Location: SRB Auditorium, room 2246

Our guest for a special seminar will be Dr. Tom Hamill, of the National Oceanic and Atmospheric Administration (NOAA). Please join us! 

Title: NOAA's Key Scientific Needs for Improving Sub-seasonal to Seasonal (S2S) Forecasts.

Abstract: In 2017, Congress passed the "Weather Research and Forecasting Innovation Act". Part of this bill requires NOAA to plan to improve its S2S forecasts. Congress also requested an identification of the needed research, monitoring, observing, and forecast requirements. In late February 2018, NOAA convened a meeting in Washington DC to draft a plan for S2S improvement, including a description of the key scientific needs. This seminar will review the contents of this draft document, explaining the inherent scientific and computational challenges in making S2S forecasts, the observational gaps, and the research requirements. Research needs include improved scientific understanding of the feedbacks between the atmosphere, ocean, land, and cryosphere, and how these can be codified into improved coupled data assimilation and forecast methods. Pending drafting of a compelling plan, the expectation is that Congress will allocate significant funding for S2S research and development, presumably including funding for the academic sector. The seminar offers an opportunity for Michigan scientists to review and comment on the key findings in this draft document, and to indicate what role you think Michigan and other university scientists should fill.

Biography: Tom Hamill is a meteorologist and atmospheric scientist with NOAA in Boulder Colorado. His areas of research expertise are ensemble weather prediction, ensemble-based data assimilation, statistical post-processing, and forecast verification. Tom has degrees in atmospheric science from Cornell (BS, '85), Penn State (MS, '87), and Cornell (Ph.D., 1997). Currently Tom is leading a project in NOAA to generate a new global reanalysis data set, followed by a reforecast data set for the next-generation global ensemble prediction system. Tom is a fellow of the American Meteorological Society and is the author of more than 80 peer-reviewed publications and book chapters.

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