Postdoctoral Research Associate | Climate Fellow

University of Virginia

About Me

Tim Higgins is a Postdoctoral Research Associate and Climate Fellow in the School of Environmental Sciences and the School of Data Science at the University of Virginia. His current research focuses on improving weather forecasts with generative artificial intelligence and advancing the intersection between multimodality and extreme events. Previous work includes detection of atmospheric river events and predicting atmospheric river extremes in subseasonal and climate ranges.

Interests
  • Multimodality
  • Generative AI
  • Weather and Climate Prediction
Education

  • PhD Atmospheric and Oceanic Sciences

    University of Colorado - Boulder

  • BSc Atmospheric Sciences and Meteorology, Mathematics (Applied)

    University of Miami

Featured Publications
Higgins, T. B., A. C. Subramanian, P. A. G. Watson, and S. Sparrow. (2025). Changes to Atmospheric River Related Extremes over the United States West Coast under Anthropogenic Warming. GRL.
Cite Source Document
Higgins, T. B., A. C. Subramanian, W. E. Chapman, D. A. Lavers, and A. C. Winters. (2024). Subseasonal Potential Predictability of Horizontal Water Vapor Transport and Precipitation Extremes in the North Pacific. WAF.
Cite Source Document DOI
Higgins, T. B., A. C. Subramanian, A. Graubner, L. KappSchwoerer, P. A. G. Watson, S. Sparrow, K. Kashinath, S. Kim, L. Delle Monache, and W. Chapman. (2023). Using Deep Learning for an Analysis of Atmospheric Rivers in a High-Resolution Large Ensemble Climate Dataset. JAMES.
Cite Source Document DOI