Dr Boen Zhang
Research Associate in Flood Hydrology and AI
Research Associate in Flood Hydrology and AI
Academic Profile
Boen joined the water lab in the hydro-climate extremes group (led by Dr Louise Slater) as a postdoctoral research associate in September 2023. He works on a research project DRIFT, in which he uses machine learning and climate modelling to improve global flood predictions. His research interests include hydroclimatic extreme events and climate inequality.
Selected Publications
- Zhang, B., Wang, S., Zscheischler, J. and Moradkhani, H. (2023) Higher exposure of poorer people to emerging weather whiplash in a warmer world. Geophysical Research Letters, 50, e2023GL105640.
- Zhang, B., Wang, S., Moradkhani, H., Slater, L. and 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.
- Zhang, B., Wang, S., Qing, Y., Zhu, J., Wang, D. and 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.
- Zhang, B., Wang, S. and Wang, Y. (2021) Probabilistic projections of multidimensional flood risks at a convection-permitting scale. Water Resources Research, 57, e2020WR028582.
- Zhang, B., Wang, S. and Wang, Y. (2019) Copula-based convection-permitting projections of future changes in multivariate drought characteristics. Journal of Geophysical Research: Atmospheres, 124, 7460-7483.