Harry R. Glahn Symposium: The Evolution of Postprocessing Methods in Weather Forecasting and Analysis
Tuesday, 6 January, 8:30 A.M.–5:30 P.M.; Room 211A
This symposium will honor the achievements of Dr. Harry R. (Bob) Glahn in the development and application of statistical methods in meteorology. Bob Glahn has been heavily involved in statistical meteorology throughout his career at the National Weather Service, and remains active in retirement. His career spanned over 50 years; from involvement in the U.S. Weather Bureau's efforts to develop objective forecasts from the early numerical models in the late 1950s, to the development of a nationwide high-resolution gridded statistical postprocessing system for today's ensemble models. The symposium will examine Dr. Glahn's role in the development and implementation of methods of postprocessing of weather information and will focus on how statistical methods enhance the quality of forecasts. It will consider the value added to meteorological information by objective statistical methods and will trace the information from the output of numerical models to the National Forecast Digital Database (NDFD), as well as the applications that the NDFD enables. Remarkably, nearly all of the statistical postprocessing methods used to enhance information along the route in the operational U.S. prediction system, from the output of numerical models to the publically accessible NDFD, can be traced, to a large extent, to work that Dr. Glahn has done during his long record of service for the federal government. This workshop will celebrate this monumental achievement and will explore the additional advances the future may hold. All registrants for the AMS Annual Meeting are invited to attend the Glahn Symposium. A luncheon to honor Harry R. Glahn Symposium will be held on Tuesday, 6 January. A ticket to the Glahn luncheon is not included in the conference registration package and must be purchased separately. Attendees are encouraged to purchase tickets when preregistering. The cost of a ticket is $45 and a limited number of tickets will be available at the AMS Registration desk until 10:00 A.M. on Monday, 5 January.