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Title
Postdoctoral Researcher – Atmospheric Science -
Email
li100@llnl.gov -
Phone
(925) 422-2753 -
Organization
PLS-AEED-ATMOSPHERIC, EARTH, ENERGY
Research Interests
My research focuses on the fundamental mechanisms driving multiscale interactions among wind, waves, and ocean currents. I am dedicated to leveraging high-fidelity numerical simulations and mathematical modeling to investigate and better understand the complex physics of natural systems.
Research Activities
I currently lead a project investigating multiscale wind–wave interactions, with a particular focus on their implications for offshore wind energy. Additionally, I am actively involved in multiple projects exploring onshore and offshore wind modeling studies.
Ph.D. Mechanical Engineering, University of Minnesota, 2021
B.S. Engineering Mechanics, Tsinghua University, 2015
See Google Scholar.
Selected Publications:
Li, T., & Shen, L. (2023). Direct numerical evidence of the Phillips initial stage and its antecedent during wind-wave generation. Communications Physics, 6(1), 314.
Wu, J., Hao, X., Li, T., & Shen, L. (2023). Adjoint-based high-order spectral method of wave simulation for coastal bathymetry reconstruction. Journal of Fluid Mechanics, 972, A41.
Zhu, P., Li, T., Mirocha, J. D., Arthur, R. S., Wu, Z., & Fringer, O. B. (2023). A moving-wave implementation in WRF to study the impact of surface water waves on the atmospheric boundary layer. Monthly Weather Review, 151(11), 2883-2903.
Li, T., & Shen, L. (2022). The principal stage in wind-wave generation. Journal of Fluid Mechanics, 934, A41.
Li, T., & Shen, L. (2022). Evolution of wave characteristics during wind-wave generation. In Proceedings of the 34th Symposium on Naval Hydrodynamics.
Li, T., Szeri, A. J., & Shen, L. (2022). On the convergence of solving a nonlinear Volterra‐type integral equation for surface divergence based on surface thermal information. Mathematical Methods in the Applied Sciences, 45(13), 8247-8268.
Li, T., Xuan, A., & Shen, L. (2021). Study of nonlinear interaction between waves and ocean currents using high-fidelity simulation and machine learning. In Proceedings of the 33rd Symposium on Naval Hydrodynamics.
- Pui Best Dissertation Award, University of Minnesota, 2023
- Edward Silberman Fellowship, University of Minnesota, 2021
- Frank and Julie Tsai Travel Awards, University of Minnesota, 2019