
Yi Liu
Yi is interested in modeling interconnections between climate change and plant phenology with Dr. Kai Zhu. She graduated from the Southern University of Science and Technology (SUSTech) in 2022 with a BE degree in Hydrology and Water Resources Engineering, where she worked on wind speed’s impact on wind power generation and sand-dust storms with Dr. Zhenzhong Zeng. She was an exchange student at the University of Toronto in 2021 fall where she worked with Dr. Vianey Leos Barajas and Emily Spurgeon from the Shark Lab on analyzing the relationship between sharks’ behavior and sea temperature. In her spare time, she enjoys sports and nature observation.
University of Michigan
2023.01 - now
Doctoral program, School for Environment and Sustainability (SEAS)
University of Toronto
2021.09 – 2021.12
Exchange student, Faculty of Applied Science and Engineering
Southern University of Science and Technology
2018.09 – 2022.07
Bachelor of Engineering, Hydrology and Water Resources Engineering
Spurgeon, E., Anderson, J. M., Liu, Y., Barajas, V. L., & Lowe, C. G. (2022). Quantifying thermal cues that initiate mass emigrations in juvenile white sharks. Scientific Reports, 12(1), 1-12.
Liu, Y., Zeng, Z., Xu, R., Ziegler, A. D., Jerez, S., Chen, D., ... & Yang, X. (2022). Increases in China’s wind energy production from the recovery of wind speed since 2012. Environmental Research Letters, 17, 114035.
Liu, Y., Xu, R., Ziegler, A. D. & Zeng, Z. (2022). Stronger winds increase the sand-dust storm risk in northern China, Environmental Science: Atmospheres, 2, 1259-1262.
Liu, Y. & Zeng, Z. (2022). Wind Energy. In: The Palgrave Handbook of Global Sustainability. Palgrave Macmillan, Cham.
Zhou, L., Zeng, Z., Azorin-Molina, C., Liu, Y., Wu, J., Wang, D., Li, D., Ziegler, A. D., & Dong, L. (2021). A Continuous Decline of Global Seasonal Wind Speed Range over Land since 1980, Journal of Climate, 34(23), 9443-9461.
Fan, W., Liu, Y., Chappell, A., Dong, L., Xu, R., Ekström, M., Fu, T., & Zeng, Z. (2021). Evaluation of global reanalysis land surface wind speed trends to support wind energy development using In Situ observations, J. Appl. Meteorol. Clim. 60, 1, 33-50.