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Research Interest

  • Hydroclimatic Extremes

  • Compound Extremes

  • Climate Adaptation and Resilience

  • Global Change and Sustainability

  • Remote Sensing Applications

  • Environmental Informatics

Research Project

  • PI, Elucidating the Mechanisms and Dynamics of Flash Drought from the Perspective of Land‒Atmosphere Feedbacks, Research Grants Council (RGC) General Research Fund (GRF), 2024–2026.

  • Co-PI, Multi-Sensor Monitoring, Geophysical Interpretation and Prediction of Sea Level Change in Hong Kong, Research Grants Council (RGC) Collaborative Research Fund (CRF), 2024–2027.

  • PI, Unveiling the Dynamics of Compound Extremes with Air Pollution Interactions in the Context of Climate Change and Urbanization, Joint Research Fund, Research Institute for Sustainable Urban Development (RISUD), 2024–2027.

  • PI, Drought Hazard Assessment and Projection in A Warming Climate, FCE Young Researcher Collaborative Research Fund, 2023–2025.

  • PI, Incorporating Spatial Heterogeneity of Rainfall Response to Climate Change into the Design of Slope Drainage Provisions in Hong Kong, Public Policy Research (PPR) Funding Scheme, 2023–2024.

  • PI, Climate-Resilient Planning and Design for Coastal Stormwater Drainage Systems, Environment and Conservation Fund (ECF), 2022–2024.

  • PI, Integration of Emerging Drought Risk into Hong Kong’s Climate Adaptation Planning and Environmental Policy, RILS Strategic Supporting Scheme, 2022–2024.

  • PI, Urban Flood Risk Assessment and Prediction Under Climate Change, Otto Poon Charitable Foundation Smart Cities Research Institute (SCRI) Fund, 2022–2024.

  • 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 Coastal Inundation Risk, LSGI Collaborative Research Grant, 2021–2023.

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

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

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

Media Coverage

Research Work

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Hydroclimatic Extreme

Selected Research Outputs:

  • Qing, Y., Wang, S., Yang, Z-L., and Gentine, P. (2023) Soil moisture−atmosphere feedbacks have triggered the shifts from drought to pluvial conditions since 1980. Communications Earth & Environment, 4, 254.

  • 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.

  • Li, X. and Wang, S. (2022) Recent increase in the occurrence of snow droughts followed by extreme heatwaves in a warmer world. Geophysical Research Letters, 49, e2022GL099925.

  • Chen, H. and Wang, S. (2022) Accelerated transition between dry and wet periods in a warming climate. Geophysical Research Letters, 49, e2022GL099766.

  • 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.

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Hydroclimatic Prediction

Selected Research Outputs:

  • 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.

  • 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:

  • Zhou, M. and Wang, S. (2024) The risk of concurrent heatwaves and extreme sea levels along the global coastline is increasing. Communications Earth & Environment, 5, 144.

  • 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:

  • You, J., Wang, S., Zhang, B., Raymond, C., and Matthews, T. (2023) Growing threats from swings between hot and wet extremes in a warmer world. Geophysical Research Letters, 50, e2023GL104075.

  • Zhu, J., Wang, S., and Fischer E.M. (2022) Increased occurrence of day-night hot extremes in a warming climate. Climate Dynamics, 59, 1297–1307.

  • 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.

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