Hydroclimate Extremes Lab

Sun Yat-sen University
Advancing Hydroclimate Science for a Resilient Future

About Me

Hi, I am currently an assistant professor of hydroclimatology in the School of Geography and Planning at Sun Yat-sen University (SYSU). I obtained my PhD in hydrology and climate science from The Hong Kong Polytechnic University (PolyU) in 2022, under the supervision of Prof. Shuo Wang. Before joining SYSU, I was a postdoctoral researcher in the Hydro-Climate Extremes Research Group led by Prof. Louise Slater at the University of Oxford.

My research focuses on extreme weather and climate events, machine learning-based flood prediction, climate change impacts, multivariate statistics, including copulas and pair-copula constructions, and hydrological modelling. I use machine learning methods and climate model outputs to improve global flood prediction and projection. I also develop and apply multivariate probabilistic approaches to assess the characteristics, hazards, and risks of hydroclimate extremes under climate change. In addition, I use climate simulations and hydrological models to investigate future changes in concurrent and consecutive water-related hazards in a warming climate.

Feel free to get in touch and share your ideas by email.

Education

2011-2015: Bachelor’s degree in Land Resource Management, Wuhan University.
2015-2018: Master’s degree in Land Resource Management, Wuhan University. Supervisor: Prof. Limin Jiao.
2018-2022: PhD in Geography, The Hong Kong Polytechnic University. Supervisor: Prof. Shuo Wang.

Work Experience

2021-2022: Teaching Assistant, The Hong Kong Polytechnic University.
2022-2023: Postdoctoral Researcher, The Hong Kong Polytechnic University. Supervisor: Prof. Shuo Wang.
2023-2026: Postdoctoral Researcher, University of Oxford. Supervisor: Prof. Louise Slater.
2026-present: Assistant Professor, School of Geography and Planning, Sun Yat-sen University.

Selected Publications

  1. Zhang, B., Wang, S., Slater, L. (2024). Anthropogenic climate change doubled the frequency of compound drought and heatwaves in low-income regions. Communications Earth & Environment, 5, 715.
  2. Zhang, B., Wang, S., Zscheischler, J., & Moradkhani, H. (2023). Higher exposure of poorer people to emerging weather whiplash in a warmer world. Geophysical Research Letters, 50, e2023GL105640.
  3. Zhang, B., Wang, S., Moradkhani, H., Slater, L., Liu, J. (2022). A vine copula-based ensemble projection of precipitation intensity-duration-frequency curves at sub-daily to multi-day time scales. Water Resources Research, 58, e2022WR032658.
  4. Zhang, B., Wang, S., Qing, Y., Zhu, J., Wang, D., Liu, J. (2022). A vine copula-based polynomial chaos framework for improving multi-model hydroclimatic projections at a multi-decadal convection-permitting scale. Water Resources Research, 58, e2022WR031954.
  5. Zhang, B., Wang, S., Zhu, J. (2022). A weighted ensemble of regional climate projections for exploring the spatiotemporal evolution of multidimensional drought risks in a changing climate. Climate Dynamics, 58(1), 49-68.
  6. Zhang, B., Wang, S., Wang, Y. (2021). Probabilistic projections of multidimensional flood risks at a convection-permitting scale. Water Resources Research, 57(1), e2020WR028582.
  7. Zhang, B., Wang, S. (2021). Probabilistic characterization of extreme storm surges induced by tropical cyclones. Journal of Geophysical Research: Atmospheres, 126(3), e2020JD033557.
  8. Zhang, B., Wang, S., Wang, Y. (2019). Copula-based convection-permitting projections of future changes in multivariate drought characteristics. Journal of Geophysical Research: Atmospheres, 124(14), 7460-7483.