Contact Information
Biography
Ryan L. Sriver is an associate professor of atmospheric sciences at the University of Ilinois at Urbana-Champaign. Prior to joining UIUC in 2012, he worked as a research associate in Penn State's Department of Geosciences and as a NOAA Climate and Global Change postdoctoral fellow in Penn State's Department of Meteorology. Ryan graduated from Purdue University with a PhD in Earth and Atmospheric Sciences.
Ryan's research seeks to develop a deeper understanding about the physical processes influencing variability within Earth's climate system and to quantify relevant uncertainties surrounding future climate projections. His work combines observational products, statistical methods and tools, and numerical models spanning a wide range of complexities and scales to understand how extreme weather and climate events are changing with global warming, what are the physical drivers, and what are the implications for natural and human systems.
His research interests include: Climate Dynamics, Earth System Modeling, Ocean-Atmosphere Interactions, Uncertainty and Risk, Weather and Climate Extremes, Tropical Cyclones, Sea-Level Rise, Seasonal Prediction, and Multi-Sector Dynamics.
Education
- Ph.D. Earth and Atmospheric Science, Purdue University, 2008
- M.S. Physics, Purdue University, 2003
- B.S. Physics, Purdue University, 2001
Courses Taught
- ATMS 140: Climate and Global Change
- ATMS 404: Risk Analysis in the Earth Sciences
- ATMS 491: General Circulation of the Atmosphere and Ocean
- ATMS 491: Physical Oceanography
- ATMS 500: Dynamic Meteorology
- ATMS 507: Climate Dynamics
- ATMS 526: Risk Analysis in the Geosciences
- ATMS 571: Professional Development
Additional Campus Affiliations
Associate Professor, National Center for Supercomputing Applications (NCSA)
Office of Risk Management & Insurance Research (ORMIR) Faculty Fellow, Finance
External Links
Recent Publications
Li, S., Sriver, R., & Miller, D. E. (2023). Skillful prediction of UK seasonal energy consumption based on surface climate information. Environmental Research Letters, 18(6), [064007]. https://doi.org/10.1088/1748-9326/acd072
Srikrishnan, V., Lafferty, D. C., Wong, T. E., Lamontagne, J. R., Quinn, J. D., Sharma, S., Molla, N. J., Herman, J. D., Sriver, R. L., Morris, J. F., & Lee, B. S. (2022). Uncertainty Analysis in Multi-Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems. Earth's Future, 10(8), [e2021EF002644]. https://doi.org/10.1029/2021EF002644
Lafferty, D. C., Sriver, R. L., Haqiqi, I., Hertel, T. W., Keller, K., & Nicholas, R. E. (2021). Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields. Communications Earth and Environment, 2(1), [196]. https://doi.org/10.1038/s43247-021-00266-9
Tebaldi, C., Ranasinghe, R., Vousdoukas, M., Rasmussen, D. J., Vega-Westhoff, B., Kirezci, E., Kopp, R. E., Sriver, R., & Mentaschi, L. (2021). Extreme sea levels at different global warming levels. Nature Climate Change, 11(9), 746-751. https://doi.org/10.1038/s41558-021-01127-1
Vega-Westhoff, B., Sriver, R. L., Hartin, C., Wong, T. E., & Keller, K. (2020). The Role of Climate Sensitivity in Upper-Tail Sea Level Rise Projections. Geophysical Research Letters, 47(6), [e2019GL085792]. https://doi.org/10.1029/2019GL085792