Kristin Calhoun


Severe Convection Group: Probabilities & Impacts (SCG-PI)

Job Title:Research Scientist


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Phone:(405) 325-6879

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Kristin is a research scientist and Team Lead for the Severe Convective Probability and Impacts Group. She studies a wide variety of topics including probabilistic hazard information and communication as well as storm electrification and lightning research.
Her current work focuses on the transition of lightning research and algorithms to National Weather Service operations. Dr. Calhoun has been the principal investigator on numerous projects within the NOAA Hazardous Weather Testbed including the development and testing of multiple lightning-integrated and data assimilation algorithms such as the lightning jump detection algorithm, the evaluation of Earth Networks’ dangerous thunderstorm alerts and high-resolution 3DVAR analyses, Multi-Radar Multi-Sensor development, and most recently, storm-based probabilistic cloud-to-ground lightning guidance and forecasts integrating machine learning.
Degree (Ph.D, M.S, B.A, etc.) Major Subject University or College Name Year (YYYY) (optional)
Ph.D. Meteorology University of Oklahoma
M.S. Meteorology University of Oklahoma
B.S. Atmospheric Science University of North Carolina at Asheville
Research Interests
  • Storm Electrification and Lightning
  • Severe and Convective Weather
  • Thunderstorm Probability and Impacts
  • Operational Forecasting Techniques
  • Nowcasting and Warnings
  • Testbeds and Experimental Design
Professional Activities
  • Editor, Weather and Forecasting, American Meteorological Society
  • National Lightning Safety Council
  • CIWRO Fellow, University of Oklahoma
  • Geostationary Lightning Mapper Science Team
  • Member, AMS STAC on Severe Local Storms
Honors & Awards
Award Name Year
American Meteorological Society, Special Award for Outstanding Service as Member and Chair Atmospheric Electricity 2016
National Weather Association, Larry R. Johnson Award, MRMS Development 2016
National Weather Association, Larry R. Johnson Award, Hazardous Weather Testbed 2015
OU SoM Douglas Lilly Paper Award 2009
Selected Publications

Kim, J., P. A. Campbell, and K. M. Calhoun, 2023: A Framework to Predict Community Risk from Severe Weather Threats Using Probabilistic Hazard Information (PHI). Atmosphere, 14, 1–26, doi:10.3390/atmos14050767.

Satrio, C. N., K. M. Calhoun, P. A. Campbell, R. Steeves, T. M. Smith, 2022: An Objective Scoring Method for Evaluating the Comparative Performance of Automated Storm Identification and Tracking Algorithms. Weather and Forecasting, EOR, doi:10.1175/WAF-D-22-0047.1

Calhoun, K. M., K. L. Berry, D. M. Kingfield, T. Meyer, M. J. Krocak, T. M. Smith, G. Stumpf, A. Gerard, 2021: The Experimental Warning Program of NOAA’s Hazardous Weather Testbed. Bulletin of the American Meteorological Society, 102, E2229–E2246, doi:10.1175/BAMS-D-21-0017.1

Rudlosky, S., S. Goodman, K. M. Calhoun, C. Schultz, A. Back, B. Kuligowski, C. Gravelle, 2020: Geostationary Lightning Mapper Value Assessment. Geostationary Lightning Mapper Value Assessment, NOAA Technical Report NESDIS 153, 46 pp., doi:10.25923/2616-3v73

Thiel, K. C., K. M. Calhoun, A. E. Reinhart, D. R. MacGorman, 2020: GLM and ABI Characteristics of Severe and Convective Storms. Journal of Geophysical Research: Atmospheres, 125, doi:10.1029/2020JD032858.

Kingfield, D. M., K. M. Calhoun, K. M. de Beurs, 2017: Antenna structures and cloud-to-ground lightning location: 1995–2015. Geophysical Research Letters, 44, 5203–5212, doi:10.1002/2017GL073449

Calhoun, K. M., E. R. Mansell, D. R. MacGorman, D. C. Dowell, 2014: Numerical Simulations of Lightning and Storm Charge of the 29-30 May 2004 Geary, Oklahoma, Supercell Thunderstorm Using EnKF Mobile Radar Data Assimilation. Monthly Weather Review, 142, 3977–3997, doi:10.1175/MWR-D-13-00403.1

Calhoun, K. M., D. R. MacGorman, C. L. Ziegler, M. I. Biggerstaff, 2013: Evolution of Lightning Activity and Storm Charge Relative to Dual-Doppler Analysis of a High-Precipitation Supercell Storm. Monthly Weather Review, 141, 2199–2223, doi:10.1175/MWR-D-12-00258.1