EDUCATION

University of Regina - Regina, SK, Canada (Ph.D. Environmental Systems Engineering Completed: April 2018)

McMaster University - Hamilton, ON, Canada (M.Eng. Engineering in Public Policy  Completed: September 2013)

Lanzhou University - Lanzhou, Gansu, China (B.S. Civil Engineering Completed: July 2012)

 

RELEVANT EXPERIENCE

Associate Professor, Sun Yat-Sen University (Apr 2020 – present)

Subject: GP415 Literature Retrieving and Thesis Writing

Postdoctoral Fellow, The Hong Kong Polytechnic University (Aug 2018 – Apr 2020)

 

PROJECTS

Sun Yat-Sen University One-Hundred Talents Project (Apr 2020 – Apr 2021)

Personal Investigator

  • Study climate change and urbanization impacts on compound climatic extremes through an ultra-high-resolution climate model

The Hong Kong Polytechnic University Start-up Fund (1-ZE8S) (Aug 2018 – Apr 2020)

Expert

  • Improving Urban Resilience to Projected Changes of Extreme Weather Events in Hong Kong

Ministry of the Environment and Climate Change, Ontario (Jan 2017 – Dec 2018)

  • Climate Change Modelling and Monitoring Research Program: Updating the High Resolution (25km x 25km) Probabilistic Climate Projections over Ontario via Dynamic Downscaling using the New IPCC AR5 Data

 

JOURNAL REFEREES

  • Climate Dynamics
  • Journal of Geophysical Research: Atmospheres
  • Journal of Environmental Informatics
  • Environmental Systems Research

 

PUBLICATIONS

  • Weng, X.R., H.C. Zhang, J.X. Zhu*, D.G. Wang*, S. Wang, Y.W. Mei, and M. Luo (2025). Unveiling Divergent Trends of in Soil Erosion and Soil Organic Carbon Displacement in Response to Climate and Land-Use Changes over China. Earth Interactions, (https://doi.org/10.1175/EI-D-24-0002.1)
  • Wang, L.R., J.X. Zhu*, and D.G. Wang (2025). Comparative analysis of high-resolution CMIP6 GCM and CMIP5 RCM: unveiling biases and advancements in simulating compound extreme events in China. Climate Dynamics, 63, 91. (https://doi.org/10.1007/s00382-024-07571-x)
  • Weng, X.R., J.X. Zhu*, D.G. Wang, H.J. Chen, S. Wang, and Y.M. Qing (2024). Exploring the Relationship between Drought-Flood Abrupt Alternation and Soil Erosion over Guangdong, China through a Convection-Permitting Model. Geomatics, Natural Hazards and Risk, 15 (1). (doi:10.1080/19475705.2024.2383779)
  • Mei, Y.W., D.G. Wang*, J.X. Zhu, G. Tang, C. Cai, and X. Shen (2024). Optimal baseflow separation through chemical mass balance: Comparing the usages of two tracers, two concentration estimation methods, and four baseflow filters. Water Resources Research, 60(7), (doi:10.1029/2023WR036386)
  • Zhang, R.K., J.X. Zhu*, D.G. Wang*, C.Z. Wei, and D. Cong (2024).  Projected Changes in Heat, Extreme Precipitation, and Their Spatially Compound Events over China's Coastal Lands and Seas through a High-Resolution Climate Models Ensemble. Environmental Research Communications, 6(6), (doi: 10.1088/2515-7620/ad53a7)
  • Weng, X.R., J.X. Zhu*, D.G. Wang*, M. Zhong, M. Luo, Y.W. Mei, and G.P. Tang (2024).  Assessing rainfall erosivity changes over China through a Bayesian averaged ensemble of high-resolution climate models. Environmental Research Communications, online, (doi: 10.1088/2515-7620/ad3369)
  • Zhu, T.A., W. Zhang, J. Wang, Y.P. Chen, S.H. Xin, and J.X. Zhu* (2023). Investigating Spatial Variations of Compound Heat-Precipitation Events in Guangdong, China through a Convection-Permitting Model. Remote Sensing, 15, no. 19: 4745, (https://doi.org/10.3390/rs15194745)
  • Du, Y., D.G. Wang, J.X. Zhu, D.Y. Wang, X.X. Qi and J.H. Cai (2022). Comprehensive assessment of CMIP5 and CMIP6 models in simulating and projecting precipitation over the global land. International Journal of Climatology, (https://doi.org/10.1002/joc.7616). 
  • Shen, Y.S., S. Wang, B.E. Zhang, and J.X. Zhu (2022). Development of a stochastic hydrological modeling system for improving ensemble streamflow prediction. Journal of Hydrology, 608, 12768, (https://doi.org/10.1016/j.jhydrol.2022.127683). 
  • Zeng, X.T., H. Xiang, J. Jia, Y. Xue, J.X. Zhu and Y.Q. Xu (2021). Identification of Policies Based on Assessment-Optimization Model to Confront Vulnerable Resources System with Large Population Scale in A Big City. International Journal of Environmental Research and Public Health, 18 (13097), (https://doi.org/10.3390/ijerph182413097). 
  • Zhu, J.X., S. Wang*, and E.M. Fischer (2021). Increased Occurrence of Day-Night Hot Extremes in A Warming Climate. Climate Dynamics, (https://doi.org/10.1007/s00382-021-06038-7).  
  • Long, K.H., D.G. Wang*, G.L. Wang, J.X. Zhu, S. Wang and S.S. Xie (2021). Higher Temperature Enhances Spatio-Temporal Concentration of Rainfall. Journal of Hydrometeorology, 22(12), 3159-3169 (https://doi.org/10.1175/JHM-D-21-0034.1). 
  • Zhu, J.X., S. Wang*, B. Zhang, and D. Wang (2021), Adapting to changing labor productivity as a result of intensified heat stress in a changing climate. GeoHealth, (doi: 10.1029/2020GH000313).
  • Chen, H.J., S. Wang*, J.X. Zhu, and B.E. Zhang (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, (doi: 10.1029/2020JD033894).
  • Zhang, B.E., S. Wang*, and J.X. Zhu (2020), A two-stage Bayesian multi-model framework for improving multidimensional drought risk projections over China. Hydrology Earth System Science, https://doi.org/10.5194/hess-2020-247.
  • Wang, S. and J.X. Zhu* (2020), Amplified or Exaggerated Changes in Perceived Temperature Extremes under Global Warming. Climate Dynamics, 54, 117–127, (doi: 10.1007/s00382-019-04994-9).
  • Zhu, J.X., S. Wang*, and G. Huang (2019), Assessing Climate Change Impacts on Human-Perceived Temperature Extremes and Underlying Uncertainties. Journal of Geophysical Research Atmospheres, 124, 3800-3821, (doi: 10.1029/2018JD029444).
  • Zhu, J.X., G. Huang*, B. Baetz, X.Q. Wang, and G.H. Cheng (2018), Climate Warming Will Not Decrease Perceived Low-Temperature Extremes in China. Climate Dynamics, 52: 5641, (https://doi.org/10.1007/s00382-018-4469-8).
  • Zeng, X.T.*, J. Zhang, L. Yu, J.X. Zhu, Z. Li, and L. Tang (2019), A sustainable water-food-energy plan to confront climatic and socioeconomic changes using simulation-optimization approach. Applied Energy, 236: 743-759, (https://doi.org/10.1016/j.apenergy.2018.11.086).
  • Zhu, J.X., G. Huang*, X.Q. Wang, and G.H. Cheng (2017), Investigation of Changes in Extreme Temperature and Humidity Over China Through a Dynamical Downscaling Approach. Earth's Future, 5 (11), 1136-1155, (doi:10.1002/2017EF000678).
  • Zhu, J.X., G. Huang*, X.Q. Wang, G.H. Cheng, and Y.H. Wu (2017), High-resolution projections of mean and extreme precipitations over China through PRECIS under RCPs. Climate Dynamics, 50 (11-12), 4037-4060, (https://doi.org/10.1007/s00382-017-3860-1).
  • Zhu, J.X., and G. Huang* (2017), Contract-out planning of solid waste management system under uncertainty: Case study on Toronto, Ontario, Canada. Journal of Cleaner Production, 168: 1370-1380, (https://doi.org/10.1016/j.jclepro.2017.09.084).
  • Cheng, G.H., G. Huang*, C. Dong, J.X. Zhu, X. Zhou, and Y. Yao (2017), Recursive multivariate principal-monotonicity inferential climate downscaling. Quarterly Journal of the Royal Meteorological Society, 143: 2780-2796, (doi:10.1002/qj.3126)
  • Cheng, G.H., G. Huang*, C. Dong, J.X. Zhu, X. Zhou, and Y. Yao (2017), High-resolution projections of 21st century climate over the Athabasca River Basin through an integrated evaluation-classification-downscaling-based climate projection framework. Journal of Geophysical Research Atmospheres 122: 2595-2615, (doi:10.1002/2016JD026158)
  • Cheng, G.H., G. Huang*, C. Dong, X. Zhou, J.X. Zhu, and Y. Xu (2017), Climate classification through recursive multivariate statistical inferences: a case study of the Athabasca River Basin, Canada. International Journal of Climatology, 37: 1001-1012, (doi:10.1002/joc.5052)
  • Cheng, G.H., G. Huang*, C. Dong, J.X. Zhu, X. Zhou, and Y. Yao (2017), An Evaluation of CMIP5 GCM Simulations over the Athabasca River Basin, Canada. River Research and Applications, (doi: 10.1002/rra.3136).
  • Zhu, J.X. and G. Huang* (2016), An Interval Parameter Two-Stage Stochastic Approach to Optimize Budget and Schedule in Construction Management. Journal of Civil and Environmental Engineering 6: 228. (doi:10.4172/2165-784X.1000228).
  • Zhu, J.X., W. Huang, W. Sun, and G. Huang* (2015), A Waste Management Model associated with Public-Private Partnership in Hamilton, Ontario, Canada. Journal of Environmental Engineering (doi: 10.1061/ (ASCE) EE.1943-7870.0001039).
  • Zhu, J.X. and G. Krantzberg* (2014), Policy analysis of China inland nuclear power plants’ plan changes: from suspension to expansion. Environmental Systems Research (doi: 10.1186/2193-2697-3-10).