Eric Bruning

Dr. Eric Bruning serves as an Associate Professor in the Department of Geosciences at Texas Tech University, where he has been a faculty member since 2010. His research program integrates atmospheric electricity, cloud physics, and advanced computational methods to investigate fundamental storm processes and lightning phenomena.

His academic foundation includes a complete sequence of degrees in Meteorology from the University of Oklahoma (B.S., M.S., Ph.D., 2008), followed by postdoctoral research at the University of Maryland's Earth System Science Interdisciplinary Center. This training established his expertise in severe storms and satellite meteorology through collaboration with NOAA's National Severe Storms Laboratory.

Dr. Bruning's research spans multiple interconnected domains:

• Atmospheric electricity and lightning physics, including storm electrification mechanisms
• Cloud microphysics and dynamics in diverse convective systems
• Scientific computing applications using Python for atmospheric analysis
• History and philosophy of science perspectives on meteorological research
• Interdisciplinary connections between scientific visualization and artistic design

His publication record (2022-2025) reveals intensive focus on lightning observation systems, aerosol-cloud-precipitation interactions, and field campaign operations. Key themes include the development of novel lightning mapping techniques, analysis of lake-effect electrification events, and investigation of microphysical drivers of storm electrification through projects like ESCAPE, TRACER, and LEE.

Professional engagement highlights include:

• Active membership on NOAA's GOES-R Geostationary Lightning Mapper (GLM) Science Team
• Principal Investigator for NSF-funded research on lightning flash size distributions and turbulence
• Former Chair of the American Meteorological Society Committee on Atmospheric Electricity

Dr. Bruning contributes significantly to major collaborative field campaigns and instrumentation development, particularly through his leadership in the Lake-Effect Electrification (LEE) project and the Tracking Aerosols and Convection Experiment (TRACER). His work bridges theoretical modeling, observational analysis, and practical applications for improving severe weather understanding and forecasting capabilities.