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SHUO WANG

Shuo Wang-Photo.jpg

The overarching purpose of Hydroclimate Research Lab is to advance fundamental understanding of the dynamics and mechanisms of hydroclimatic extremes (droughts, floods, rainstorms, heatwaves, tropical cyclones, storm surges, etc.) and their impacts in a changing environment through the use of Earth observation technologies and physically-based models. Specifically, our research focuses on the following three areas: 1) investigation of the dynamics of weather and climate extremes and their impacts on the environment, ecosystems, and society, 2) application of remote sensing techniques, Earth system models, and spatial modeling methods for addressing environmental and water-related challenges under a warming climate, and 3) development of high-resolution urban climate projections to assess future changes in extreme weather and climate events for enhancing climate change adaptation and resilience.

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We are always looking for Postdocs/RAs and students working in the interdisciplinary field of hydroclimatology (hydrology, water resources, climate extremes, remote sensing for natural disasters, ecohydrology, etc.). Please contact me at shuo.s.wang@polyu.edu.hk with your CV for inquiry.

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News

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  • September 2023: Our work reveals that climate change is fueling an alarming increase in the frequency of sudden shifts from severe droughts to downpours, which has received international and local media coverage, including Yahoo UK, Earth.com, The Daily Texan, PolyU PAIR, etc.

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  • August 2023: My first PhD student, Boen Zhang, received a 2-year postdoctoral fellowship appointment at the University of Oxford's School of Geography and the Environment, starting in September 2023. Congratulations!

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  • July 2023: Our work explores the dynamic evolution and underlying mechanisms of drought and pluvial transitions and reveals that soil moisture−atmosphere feedbacks have triggered the shifts from drought to pluvial conditions since 1980. This work was published in Communications Earth & Environment.

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  • July 2023: Our work reveals growing threats from swings between hot and wet extremes in a warmer world. This work was published in Geophysical Research Letters.

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  • May 2023: As of January/February 2023, our flash drought paper was recognized as “ESI Highly Cited Paper” - in the top 1% of the academic field of Geosciences.

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  • April 2023: Our work reveals the historical evolution and the future change of spatially compounding drought and pluvial events over Eastern China under a warming climate. This work was published in Earth's Future.

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  • February 2023: My MSc student, Bowie Tong, won the 2022 Dissertation Award for Postgraduate Students, conferred by The Hong Kong Institute of Surveyors (HKIS). The title of his dissertation is "Machine Learning and Big Data Analytics of Sea Level for Evaluating Formation Levels of Reclaimed Land in Hong Kong". Congratulations!

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  • October 2022: We develop a vine copula-based ensemble projection of precipitation intensity-duration-frequency (IDF) curves for China at sub-daily to multi-day time scales. This work was published in Water Resources Research. A web-based data platform was also developed for China’s Urban Precipitation IDF Curves Considering Climate Change Impacts (http://chinaidf.com).

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  • October 2022: Our work reveals that approximately three-fifths of global land area is projected to experience an accelerated transition between dry and wet extremes due to an increase in precipitation and evapotranspiration variabilities in a warming climate. This work was published in Geophysical Research Letters.

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  • September 2022: My first PhD student, Boen Zhang, successfully defended his dissertation entitled "Probabilistic Projections of Hydrologic Extremes under A Warming Climate". Congratulations!

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  • June 2022: Our work reveals a recent increase in the occurrence of snow droughts followed by extreme heatwaves in a warmer world, which was published in Geophysical Research Letters.

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  • May 2022: Our paper titled "A vine copula-based polynomial chaos framework for improving multi-model hydroclimatic projections at a multi-decadal convection-permitting scale" was published in Water Resources Research. We develop a deep neural network-based polynomial chaos expansion that significantly improves the efficiency and reliability of predicting regional hydrologic responses to the changing climate.

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  • May 2022: Our paper titled "Development of a joint probabilistic rainfall-runoff model for high-to-extreme flow projections under changing climatic conditions" was published in Water Resources Research. Our proposed model outperforms three well-known machine learning models (i.e., random forest, artificial neural networks, and long short-term memory) in the challenging high-to-extreme flow predictions.

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  • February 2022: Our paper titled "A stepwise clustered hydrological model for addressing the temporal autocorrelation of daily streamflows in irrigated watersheds" was published in Water Resources Research.

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  • December 2021: Dr Wang was invited to join the Editorial Board of Environmental Research Communications, representing areas of research relevant to hydrology and climate change studies.

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  • September 2021: Our work reveals a higher probability of occurrence of hotter and shorter heat waves followed by heavy rainfall in China, which was published in Geophysical Research Letters.

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  • March 2021: Our paper titled "Multi-decadal convection-permitting climate projections for China’s Greater Bay Area and surroundings" was published in Climate Dynamics. A web-based China's Greater Bay Area Climate Data Portal, http://www.gbacdp.cn/, was also developed to disseminate future projected climate change information derived from convection-permitting climate simulations and to support climate change impact and adaptation research.

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  • March 2021: Our paper titled "Adapting to changing labor productivity as a result of intensified heat stress in a changing climate" was published in GeoHealth.

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  • December 2020: Our paper about improving the characterization of extreme storm surges induced tropical cyclones was published in Journal of Geophysical Research: Atmospheres.

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  • December 2020: Our paper about probabilistic projections of multidimensional flood risks at a convection-permitting scale was published in Water Resources Research.

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  • November 2020: Our paper titled "Projected changes in abrupt shifts between dry and wet extremes over China through an ensemble of regional climate model simulations" was published in Journal of Geophysical Research: Atmospheres.

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  • September 2020: My student, Chue Cheuk Ying Cherry, won the HKIS Outstanding Dissertation Award 2020. The title of her dissertation is "Digital Geospatial Flood Inundation Mapping with the Aid of Unmanned Aerial Vehicles". Congratulations!

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  • July 2020: Our paper about developing probabilistic projections of hydrological droughts through convection-permitting climate simulations and multi-model hydrological predictions was published in Journal of Geophysical Research: Atmospheres.

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  • April 2020: Our paper about exploring abrupt alternations between wet and dry conditions on the basis of historical observations and convection-permitting climate model simulations was published in Journal of Geophysical Research: Atmospheres.

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  • June 2019: Our paper about developing copula-based convection-permitting projections of future changes in multivariate drought characteristics was published in Journal of Geophysical Research: Atmospheres.

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  • March 2019: Our paper about assessing climate change impacts on human-perceived temperature extremes was published in  Journal of Geophysical Research: Atmospheres.

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  • March 2019: Our paper about probabilistic hydroclimatic projections through high-resolution convection-permitting climate modeling was published in Climate Dynamics.

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  • March 2018: Our paper about hydrologic ensemble predictions using data assimilation was published in Water Resources Research.

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  • January 2018: Dr Wang was invited to serve as an Associate Editor for Journal of Hydrology.

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  • December 2017: Our paper titled "A multi-level Taguchi-factorial two-stage stochastic programming approach for characterization of parameter uncertainties and their interactions: An application to water resources management" was recognized as the top 1% highly cited paper in Essential Science Indicators.

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  • August 2017: Dr Wang received an Outstanding Reviewer Award for Journal of Hydrology.

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