Research Interest

  • Hydrology and hydroclimatology

  • Hydroclimatic extremes

  • Climate change impacts

  • Hydroinformatics

  • Environmental geoinformatics

  • Spatial big data analytics

Research Project

  • PI, Detection and Projection of Coastal Erosion Hotspots Driven by Extreme Sea Levels under a Changing Climate, RILS Strategic Supporting Scheme, 2021–2023.

  • PI, Integration of InSAR, GNSS, and Earth System Modeling Techniques for Predicting Future Change in Relative Sea Level Due to the Combined Effect of Local Land Subsidence and Global Climate Change, LSGI Collaborative Research Grant, 2021–2023.

  • PI, Development of a machine learning model for the prediction of extreme storm surges in Hong Kong, Undergraduate Research and Innovation Scheme (URIS), 2021–2022.

  • PI, Improving Robustness and Reliability of Hydroclimatic Projections through A New Multi-Model Ensemble Framework, Hong Kong Research Grants Council Early Career Scheme, 2020–2022.

  • PI, A Stochastic Multi-Model Ensemble Framework for Probabilistic Hydrological Forecasting, National Science Foundation of China, 2019–2021.

  • PI, Improving Urban Resilience to Projected Changes of Extreme Weather Events, Hong Kong Polytechnic University Start-up Fund, 2017–2020.

Research Work

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Hydroclimatic Extreme

Selected Research Outputs:

  • Qing, Y. and Wang, S., Ancell, B., and Yang, Z-L. (2022) Accelerating flash droughts induced by the joint influence of soil moisture depletion and atmospheric aridity. Nature Communications, 13, 1139.

  • You, J. and Wang, S. (2021) Higher probability of occurrence of hotter and shorter heat waves followed by heavy rainfall. Geophysical Research Letters, 48, e2021GL094831.

  • Zhang, B. and Wang, S. (2021) Probabilistic characterization of extreme storm surges induced by tropical cyclones. Journal of Geophysical Research: Atmospheres, 126, e2020JD033557.

  • Chen, H., Wang, S., Zhu, J., and Zhang, B. (2020) Projected changes in abrupt shifts between dry and wet extremes over China through an ensemble of regional climate model simulations. Journal of Geophysical Research: Atmospheres, 125, e2020JD033894.

  • Chen, H., Wang, S., and Wang, Y. (2020) Exploring abrupt alternations between wet and dry conditions on the basis of historical observations and convection-permitting climate model simulations. Journal of Geophysical Research: Atmospheres, 125, e2019JD031982.

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Probabilistic Hydroclimatic Prediction

Selected Research Outputs:

  • Zhang, B., Wang, S., and Wang, Y. (2021) Probabilistic projections of multidimensional flood risks at a convection-permitting scale. Water Resources Research, 57, e2020WR028582.

  • Chen, H., Wang, S., Wang, Y., and Zhu, J. (2020) Probabilistic projections of hydrological droughts through convection-permitting climate simulations and multi-model hydrological predictions. Journal of Geophysical Research: Atmospheres, 125, e2020JD032914.

  • 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.

  • Wang, S. and Wang Y. (2019) Improving probabilistic hydroclimatic projections through high-resolution convection-permitting climate modeling and Markov chain Monte Carlo simulations. Climate Dynamics, 53, 1613–1636.

  • Wang, S., Ancell, B.C., Huang, G.H., and Baetz, B.W. (2018) Improving robustness of hydrologic ensemble predictions through probabilistic pre- and post-processing in sequential data assimilation. Water Resources Research, 54, 2129–2151.

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Coastal Hazard and Risk Assessment

Selected Research Outputs:

  • Zhang, B. and Wang, S. (2021) Probabilistic characterization of extreme storm surges induced by tropical cyclones. Journal of Geophysical Research: Atmospheres, 126, e2020JD033557.

  • Carvalho, K.S. and Wang, S. (2019) Characterizing the Indian Ocean sea level changes and potential coastal flooding impacts. Journal of Hydrology, 569, 373–386.

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Heat Stress and Temperature Extreme

Selected Research Outputs:

  • Zhu, J., Wang, S., and Fischer E.M. (2021) Increased occurrence of day-night hot extremes in a warming climate. Climate Dynamics, in press.

  • Zhu, J., Wang, S., Wang, D., Zeng, X., Cai, Y., and Zhang, B. (2021) Upholding labor productivity with intensified heat stress: Robust planning for adaptation to climate change under uncertainty. Journal of Cleaner Production, 322,

  • Zhu, J., Wang, S., Zhang, B., and Wang, D. (2021) Adapting to changing labor productivity as a result of intensified heat stress in a changing climate. GeoHealth, 4, e2020GH000313.

  • Wang, S. and Zhu, J. (2020) Amplified or exaggerated changes in perceived temperature extremes under global warming. Climate Dynamics, 54, 117–127.

  • Zhu, J., Wang, S., and Huang, G. (2019) Assessing climate change impacts on human-perceived temperature extremes and underlying uncertainties. Journal of Geophysical Research: Atmospheres, 124, 3800–3821.