John Lawson
Mathematics and Statistics
Research Assistant Professor

Educational Background
Biography
Senior Air Quality Scientist, Bingham Research Center, Vernal (Statewide campus). Meteorologist by training; mutlidisciplinary in nature. Main research assists goal of reducing winter ozone emissions in the Uinta Basin, Utah.
Teaching Interests
Python coding for STEM: data analysis & visualisation
Estimating forecast uncertainty
Logic and the Philosophy of Science
Applications of Information Theory
Creativity and Science
Research Interests
Theoretical side:
- Possibility theory
- Fuzzy logic
- Chaos theory
- Information theory
Practical side:
- Numerical modelling of weather phenomena (e.g., thunderstorms, mountain winds)
- Non-traditional modelling (e.g., fuzzy inference, pure AI) for weather prediction
- Predicting and communicating risk of poor air quality
- Complex Adaptive Systems (e.g., weather) and their limits of predictability
- Viability of large language models (LLMs) in creative scientific research
Publications | Journal Articles
Academic Journal
- Lawson, J., Lyman, S., (2025). Pixels and predictions: Potential of GPT-4V in meteorological imagery analysis and forecast communication. Artificial Intelligence for the Earth Systems, 4:1, 240029.
- Davies, M., Lawson, J., O'Neil, T., Lyman, S., Zager, K., (2025). Uinta Basin Snow Shadow: Impact of Snow-Depth Variation on Winter Ozone Formation. Air, 3, 22.
- Lawson, J., Lyman, S., (2024). A Preliminary Fuzzy Inference System for Predicting Atmospheric Ozone in an Intermountain Basin. Air, 2:3, 337--361.
An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.
Publications | Other
Other
- Lawson, J., (2025). A Probabilistic WxChallenge Proposal. arXiv preprint arXiv:2501.14139 *
- Lawson, J., (2024). Communicating Risk with Possibility, Not Probability. arXiv preprint arXiv:2410.21664 *
- Lawson, J., (2013). Analysis and predictability of the 1 December 2011 Wasatch downslope windstorm. The University of Utah *
An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.