🏠 Home 📄 Publications 🤖 AI for Science 🌪 Transport

📚 Publications

🔗 For more details please refer to my Google Scholar

🛠 Ongoing Work

  1. Probabilistic Emulation (CNF) of Global Temperature Distribution. [Manuscript in preparation]
  2. Generative assimilation of global precipitation distribution allows for probabilistic climate projections. [Manuscript in preparation]
  3. Shifting Extremes of Heat-Extremes: Climate or Landcover? Submitted to Nature, 2025
  4. Brain response to different stimuli using conditional variational autoencoders. [Manuscript in preparation]
  5. Eddy structure detection and pattern formation investigation with contrastive learning. [Manuscript in preparation]

✅ Published Articles

(Underline = students/scholars I co-advised)

  1. Li, S., Pathz, T., Katul, G. (2025). Suspended sediment transport in turbulence: From eddy energetics to bulk flow. Pending acceptance to Physical Review Letters upon revisions.
  2. Li, S. (2025). Integrated turbulence and machine learning models explain pier scour in erodible channel flows. Accepted to Water Resources Research. [solo-author]
  3. Li, S., Zheng, T., Farchi, A., Bocquet, M., & Gentine, P. (2025). Projections with generative machine learning: a Lorenz ’96 proof-of-concept. Geophysical Research Letters, 52(12), e2024GL112523.
  4. Guo, J., Yue, Y., Huai, W., Yan, X., Borthwick, A. G., Chai, Y., … & Yang, Z. (2025). Original vegetation condition and precipitation growth rate bifurcate sediment flux trend on the Qinghai-Tibet Plateau. Communications Earth & Environment, 6(1), 90.
  5. Li, S., Qu, Y., Zheng, T., & Gentine, P. (2024). Machine‐assisted physical closure for coarse suspended sediments in vegetated turbulent channel flows. Geophysical Research Letters, 51(20), e2024GL110475.
  6. Qu, Y., Juan N., Li, S., and Gentine, P. (2024). Deep generative data assimilation in multimodal setting. In CVPR Conference on Computer Vision and Pattern Recognition, pp. 449–459.
  7. Wang, W. J., Li, S., Huang, W., Han, Z., & Wang, W. H. (2024). A unified friction factor formulation: Bridging laminar and turbulent friction factor with critical points analysis. *Physics of Fluids, 36(1).
  8. Li, S., Bragg, A. D., & Katul, G. (2023). Reduced sediment settling in turbulent flows due to Basset history and virtual mass effects. Geophysical Research Letters, e2023GL105810
  9. Li, S., Henriquez, C., & Katul, G. (2022). The Role of Geographical Spreaders in Infectious Pattern Formation and Front Propagation Speeds. Physica D: Nonlinear Phenomena, 440: 133460.
  10. Li, S., Bragg, A. D., & Katul, G. (2022). A Co‐Spectral Budget Model Links Turbulent Eddies to Suspended Sediment Concentration in Channel Flows. Water Resources Research, 58(3), e2021WR031045.
  11. Li, S., and Katul, G. (2021). Roughness-induced critical phenomenon analogy for turbulent friction factor explained by a co-spectral budget model. Physics of Fluids, 33(10): 105127.
  12. Huai, W., Li, S., Katul, G. G., Liu, M. Y., & Yang, Z. H. (2021). Flow dynamics and sediment transport in vegetated rivers: A review. Journal of Hydrodynamics, 33(3), 400–420.
  13. Li, S., & Katul, G. (2020). Contaminant removal efficiency of floating treatment wetlands. Environmental Research Letters, 15(10), 1040b7.
  14. Wang, H., Li, S., Zhu, Z., & Huai, W. (2020). Analyzing solute transport in modeled wetland flows under surface wind and bed absorption conditions. International Journal of Heat and Mass Transfer, 150, 119319.
  15. Li, S., & Katul, G. (2019). Cospectral budget model describes incipient sediment motion in turbulent flows. Physical Review Fluids, 4(9), 093801.
  16. Li, S., Katul, G., & Huai, W. (2019). Mean velocity and shear stress distribution in floating treatment wetlands: An analytical study. Water Resources Research, 55(8), 6436–6449.
  17. Li, S., Huai, W., Cheng, N. S., & Coco, G. (2019). Prediction of mean turbulent flow velocity in a permeable-walled pipe. Journal of Hydrology, 573, 648–660.
  18. Wang, H., Zhu, Z., Li, S., & Huai, W. (2019). Solute dispersion in wetland flows with bed absorption. Journal of Hydrology, 579, 124149.
  19. Wang, W. J., Huai, W. X., Li, S., Wang, P., Wang, Y. F., & Zhang, J. (2019). Analytical solutions of velocity profile in flow through submerged vegetation with variable frontal width. Journal of Hydrology, 578, 124088.
  20. Li, S., Shi, H., Xiong, Z., Huai, W., & Cheng, N. (2015). New formulation for the effective relative roughness height of open channel flows with submerged vegetation. Advances in Water Resources, 86, 46–57.
  21. Li, S., Shi, H. R., Xue, W. Y., & Huai, W. X. (2015). United friction resistance in open channel flows. Journal of Hydrodynamics, Ser. B, 27(3), 469–472.

📑 Conference Proceedings

  1. Li, S., Barthelmie, R. J., Bewley, G. P., & Pryor, S. C. (2020). Effects of hydrometeor droplet characteristics on wind turbine blade leading edge erosion: A numerical study. Journal of Physics: Conference Series.
  2. Barthelmie, R. J., et al. (2020). Wind turbine blade leading-edge erosion: laboratory experiments and image processing under an engaged learning experience. Journal of Physics: Conference Series.