Tim Hall, CCM

Tim Hall

Tim Hall is an executive leader with a diverse background in government and private industry. As Principal Director, Environmental Remote Sensing at The Aerospace Corporation he directs 40 engineers and scientists providing expert advice and assistance to the National Oceanic and Atmospheric Administration (NOAA). Tim has extensive experience in project management, space systems engineering and architecture, and applied R&D. As a certified consulting meteorologist (CCM), his expertise includes environmental data science and machine learning, applied climatology, weather analysis and forecasting, aviation meteorology, forensic investigation, and weather risk management.

Following his commissioning through Air Force ROTC in May 1992, Tim entered active duty as a weather officer. His military assignments ranged from operational weather forecasting to acquisition program management. From 2000 to 2003 he served as Officer-in-Charge of the Joint Presidential Weather Support Unit, directing a team that provided global forecast services to the White House Military Office and Marine One. In 2006, he transitioned to the Air Force Reserve and initiated his private sector career at a Federally Funded Research & Development Center (FFRDC) called The Aerospace Corporation. He has diverse interests reflected in published papers and conference presentations on topics including artificial intelligence, space policy, environmental intelligence, forensic weather investigation, and national security. His current research interest is focused on applying deep learning using neural networks to the challenge of sub-seasonal to seasonal hurricane forecasting

Tim holds a B.S. in Meteorology (1992) from The Pennsylvania State University, and a M.S. in Atmospheric Science (1997) from Colorado State University. He is an active member of The American Meteorological Society (AMS), The National Weather Association (NWA), and Association for Certified Consulting Meteorologists (ACM). From 2015 to 2019 he served AMS Board for Certified Consulting Meteorologists, chairing it from January 2018-January 2019. He served on the Association for Certified Meteorologists (ACM) Board of Directors from 2012-2015. In 2018 he returned to the ACM Board for a second term and currently serves as President until 2022. From 2010 to 2013, Tim served on the AMS Board for Private Sector Meteorologists. Tim has served on the NWA’s Remote Sensing Committee since 2018. He was awarded his CCM certificate (#641) by the AMS in February 2008.

In his spare time Tim is an avid epee fencer, Skywarn storm spotter for the National Weather Service through its Skywarn program, and weather observer for the Community Collaborative Rain, Hail & Snow (CoCoRAHS) Network.

Publications and Presentations

Hall, T. J. and K. T. Hall, 2020: Seasonal Hurricane Forecasting Using Machine Learning, 19th Conference on Artificial Intelligence for Environmental Science, Boston, MA.

Hall, T. J., 2019: The Great Baltimore Fire of 1904, A Forensic Meteorological Analysis. Seventeenth History Symposium, Phoenix, AZ.    https://youtu.be/lYAoWYv_sFM

Hall, T. J., and M. Kicza, 2018: An Organic Act for NOAA to Formalize Its Purpose and Authorities, Issue Brief. The Aerospace Corporation. Available at: https://aerospace.org/sites/default/files/2018-08/Hall-Kicza_Organic%20Act_08082018.pdf

Hall, T. J., S. Marley, I. Guch, T. Radcliffe and R. Birk, 2017: Autonomous Operations of Complex Environmental Systems. 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences, Seattle, WA. https://ams.confex.com/ams/98Annual/webprogram/Paper330201.html

Hall, T. J., T. Adang, and K. B. Kreitman, 2015: Environmental Intelligence, Actionable Information for Decision Makers. Fourth Symposium on the Weather, Water, and Climate Enterprise, New Orleans, LA.

Hall, T. J., C. N. Mutchler, G. J. Bloy, R. N. Thessin, S. K. Gaffney, and J. J. Lareau, 2011: Performance of observation-based prediction algorithms for very short-range, probabilistic clear-sky condition forecasting. Journal of Applied Meteorology and Climatology, 50(1), 3-19.

Hall, T. J., R. N. Thessin, G. J. Bloy, and C. N. Mutchler, 2010: Analog sky condition forecasting based on a k-nn algorithm. Weather and Forecasting, 25, 1463-1478.

Hall, T. J., C. N. Mutchler, G. J. Bloy, R. N. Thessin S. K. Gaffney, and J. J. Lareau, 2010: Comparison of artificial intelligence and statistical techniques for probabilistic forecasting of sky c ondition. 8th Conference on Artificial Intelligence and Its Applications to the Environmental Sciences, Atlanta, GA.

Hall, T. J., and T. H. Vonder Haar, 1999: The Diurnal Cycle of West Pacific Deep Convection and its Relation to the Spatial and Temporal Variation of Tropical MCSs. Journal of Atmospheric Science, 56, 3401-3415.

Hall, T. J., D.L Reinke, and T. H. Vonder Haar, 1998: Forecasting Applications of High-Resolution Satellite Cloud Composite Climatologies. Weather and Forecasting, 13, 16-23.