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Patrick Adrian Campbell

Patrick Adrian Campbell

Patrick Campbell

Research
Scientist II

pacampbell@ou.edu
patrick.campbell@noaa.gov
National Weather Center 3923


  • PhD, Electrical and Computer Engineering, University of Oklahoma
  • MS, Electrical and Computer Engineering, University of Oklahoma
  • BS, Computer Engineering, University of Oklahoma

  • Testbed and Visualization Support

Patrick is the CIWRO team lead for the Hazard Information & Testbed Systems Group. His research efforts focus on the development of Probabilistic Hazard Information for severe weather threats to support and improve severe weather warnings. The work of Patrick and his colleagues promises to allow decision-makers to better react to severe weather events and provide a range of hazard information that covers different needs across society.

Patrick joined the weather community at the University of Oklahoma after receiving his degree in computer engineering from the same institution. His background in image analysis and software engineering assists with the advancement and realization of novel severe weather research concepts.


  • Thunderstorm Probability and Impacts
  • Storm Segmentation from Radar Imagery
  • Testbeds and Experimental Design
  • Machine Learning

  • Mesoscale and Stormscale Modeling R&D

  • Kim, J., P. A. Campbell, 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
  • Obermeier, H. B., K. L. Berry, K. E. Klockow-McClain, A. Campbell, C. Carithers, A. Gerard, J. E. Trujillo-Falcón, 2022: The Creation of a Research Television Studio to Test Probabilistic Hazard Information with Broadcast Meteorologists in NOAA’s Hazardous Weather Testbed. Weather, Climate, and Society, 14, 3, 949–963, doi:10.1175/WCAS-D-21-0171.1
  • Campbell, P. A., K. Calhoun, T. Sandmael, C. Satrio, P. Hyland, R. Steeves, D. Hogg, T. DeWinter, T. Smith, G. Stumpf, A. Bates, K. Manross, K. Berry, 2023: Probabilistic Hazard Information and Related Proposed Advancements in US Severe Weather Warnings. Using ECMWF’s Forecasts 2023, Reading, UK, European Centre for Medium-Range Weather Forecasts
  • Campbell, P. A., R. B. Steeves, K. M. Calhoun, 2023: Recent Development of the Prototype PHI Tool to Support Early-Stage Research in Severe Weather Warnings. Special Symposium on Forecasting a Continuum of Environmental Threats (FACETs), Denver, CO, American Meteorological Society
  • Campbell, P. A., K. L. Ortega, S. S. Williams, and T. M. Smith, 2020: Exploring the Application of Machine Learning to Identification of Storm Objects. 19th Conference on Artificial Intelligence for Environmental Science, Boston, MA, American Meteorological Society