http://projects.upei.ca/xanderwang/
T: 902-628-4343
Email: xxwang@upei.ca
Dr. Xander Wang is an Associate Professor in the School of Climate Change and Adaptation at the University of Prince Edward Island (UPEI). Before joining UPEI, Dr. Wang worked as an Assistant Professor in the School of Geosciences at the University of Louisiana at Lafayette. Dr. Wang’s research is mainly focused on regional climate modeling, climate downscaling, hydrological modeling and flooding risk analysis, energy systems modeling under climate change, climate change impact assessment and adaptation studies, GIS, spatial modeling and analysis, big data analysis and visualization. Dr. Wang has a multidisciplinary background in climate science, environmental science and engineering, GIS and remote sensing, water resources, computer science, statistics, and data science. He is constantly looking for passionate graduate students and research scholars to work on the climate change challenges that we are facing now and will continue to face in the future. If you are interested, please feel free to contact Dr. Wang with a detailed CV and a brief introduction of your research interest.
Climate Change Report (CCR) Series
Latest Publications
- Title: Assessing social-ecological vulnerability and risk to coastal flooding: A case study for […]
- The following review paper about the impacts of climate change on potato […]
- The following review paper about the DMOs’ roles in sustainable tourism in […]
- The following paper about the social-ecological vulnerability and risk to coastal flooding […]
- The following review paper about the application of machine learning techniques for […]
- Title: Climate change impacts on oyster aquaculture – Part I: Identification of key […]
→ More Publications
Cai, B., X. Wang, G. Huang, J. Wang, D. Cao, B. W. Baetz, L. Liu, H. Zhang, A. Fenech, and Z. Liu (2018). Spatiotemporal Changes of China’s Carbon Emissions. Geophysical Research Letters (American Geophysical Union), 45(16):8536-8546. doi:10.1029/2018GL079564.
Zhu, J., G. Huang, B. Baetz, X. Wang, and G. Cheng (2018). Climate Warming Will Not Decrease Perceived Low-Temperature Extremes in China. Climate Dynamics (Springer). doi:10.1007/s00382-018-4469-8.
Zhou, X., G. Huang, X. Wang, and G. Cheng (2018). Future Changes in Precipitation Extremes over Canada: Driving Factors and Inherent Mechanism. Journal of Geophysical Research: Atmospheres (American Geophysical Union), 123(11):5783-5803. doi:10.1029/2017JD027735.
Guo, J., G. Huang, X. Wang, Y. Li, and L. Yang (2018). Future Changes in Precipitation Extremes over China Projected by a Regional Climate Model Ensemble. Atmospheric Environment (Elsevier), 188:142-156. doi:10.1016/j.atmosenv.2018.06.026.
Song, T., G. Huang, X. Zhou, and X. Wang (2018). An Inexact Two-Stage Fractional Energy Systems Planning Model. Energy (Elsevier), 160:275-289. doi:10.1016/j.energy.2018.06.158.
Zhai, Y., G. Huang, X. Wang, X. Zhou, C. Lu, and Z. Li (2018). Future Projections of Temperature Changes in Ottawa, Canada through Stepwise Clustered Downscaling of Multiple GCMs under RCPs. Climate Dynamics (Springer). doi:10.1007/s00382-018-4340-y.
Zhou, X., G. Huang, B. W. Baetz, X. Wang, and G. Cheng (2018). PRECIS-Projected Increases in Temperature and Precipitation over Canada. Quarterly Journal of the Royal Meteorological Society (Royal Meteorological Society), 144(711):588-603. doi:10.1002/qj.3231.
Zhu, J., G. Huang, X. Wang, G. Cheng, and Y. Wu (2018). High-Resolution Projections of Mean and Extreme Precipitations over China through PRECIS under RCPs. Climate Dynamics (Springer), 50(11-12):4037-4060. doi:10.1007/s00382-017-3860-1
Guo, J., G. Huang, X. Wang, Y. Li, and Q. Lin (2018). Dynamically-Downscaled Projections of Changes in Temperature Extremes over China. Climate Dynamics (Springer), 50(3-4):1045-1066. doi:10.1007/s00382-017-3660-7.
Zhou, X., G. Huang, X. Wang, and G. Cheng (2018). Dynamically-Downscaled Temperature and Precipitation Changes over Saskatchewan Using the PRECIS Model. Climate Dynamics (Springer), 50(3-4):1321-1334. doi:10.1007/s00382-017-3687-9.
Wang, L., G. Huang, X. Wang, and H. Zhu (2018). Risk-Based Electric Power System Planning for Climate Change Mitigation through Multi-Stage Joint-Probabilistic Left-Hand-Side Chance-Constrained Fractional Programming: A Canadian Case Study. Renewable & Sustainable Energy Reviews (Elsevier), 82(1):1056-1067. doi:10.1016/j.rser.2017.09.098.
Wang, X., G. Huang, B. W. Baetz, and S. Zhao (2017). Probabilistic Projections of Regional Climatic Changes over the Great Lakes Basin. Climate Dynamics (Springer), 49(7-8):2237-2247. doi:10.1007/s00382-016-3450-7.
Zhou, X., G. Huang, X. Wang, Y. Fan, and G. Cheng (2017). A Coupled Dynamical-Copula Downscaling Approach for Temperature Projections over the Canadian Prairies. Climate Dynamics (Springer). doi:10.1007/s00382-017-4020-3.
Zhu, J., G. Huang, X. Wang, and G. Cheng (2017). Investigation of Changes in Extreme Temperature and Humidity over China through a Dynamical Downscaling Approach. Earth’s Future (American Geophysical Union), 5(11):1136-1155. doi:10.1002/2017EF000678.
Guo, J., G. Huang, X. Wang, Y. Li, and Q. Lin (2017). Investigating Future Precipitation Changes over China through a High-Resolution Regional Climate Model Ensemble. Earth’s Future (American Geophysical Union), 5(3):285-303. doi:10.1002/2016EF000433.
Zeng, X., Y. Zhu, C. Chen, Y. Tong, Y. Li, G. Huang, S. Nie, and X. Wang (2017). A Production-Emission Nexus Based Stochastic-Fuzzy Model for Identification of Urban Industry-Environment Policy under Uncertainty. Journal of Cleaner Production (Elsevier), 154:61-82. doi:10.1016/j.jclepro.2017.03.137.
Fan, Y., G. Huang, Y. Li, X. Wang, Z. Li, and L. Jin (2017). Development of PCA-based Cluster Quantile Regression (PCA-CQR) Framework for Streamflow Prediction: Application to the Xiangxi River Watershed, China. Applied Soft Computing (Elsevier), 51:280-293. doi:10.1016/j.asoc.2016.11.039.
Zhang, Y., G. Huang, X. Wang, and Z. Liu (2017). Observed Changes in Temperature Extremes for the Beijing-Tianjin-Hebei Region of China. Meteorological Applications (Royal Meteorological Society), 24(1):74-83. doi:10.1002/met.1606.
Li, Z., G. Huang, X. Wang, J. Han, and Y. Fan (2016). Impacts of Future Climate Change on River Discharge Based on Hydrological Inference: A Case Study of the Grand River Watershed in Ontario, Canada. Science of the Total Environment (Elsevier), 548-549:198-210. doi:10.1016/j.scitotenv.2016.01.002.
Wang, X., G. Huang, J. Liu, Z. Li, and S. Zhao (2016). GIS-Based Data Portal for Climate Change Impact Assessment. Bulletin of the American Meteorological Society (American Meteorological Society), 97: 17-18.
Fan, Y., G. Huang, Y. Li, X. Wang, and Z. Li (2016). Probabilistic Prediction for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods. Water Resources Management (Springer), 30(14):5313-5331. doi:10.1007/s11269-016-1489-1.
Wang, X., G. Huang, and J. Liu (2016). Observed Regional Climatic Changes over Ontario, Canada in Response to Global Warming. Meteorological Applications (Royal Meteorological Society), 23(1): 140-149. doi:10.1002/met.1541
Zhao, S., G. Huang, S. Wang, X. Wang, and W. Huang (2016), Insight into Sorption Mechanism of Phenanthrene onto Gemini Modified Palygorskite Through a Multi-Level Fuzzy-Factorial Inference Approach, Journal of Environmental Science and Health, Part A. Toxic/Hazardous Substances and Environmental Engineering (Taylor & Francis), 51(9):759-768. doi:10.1080/10934529.2016.1170459.
Wang, X., G. Huang, and B. W. Baetz (2016). Dynamically-Downscaled Probabilistic Projections of Precipitation Changes: A Canadian Case Study. Environmental Research (Elsevier), 148:86-101. doi:10.1016/j.envres.2016.03.019.
Zhao, S., G. Huang, X. Wang, Y. Fan, and C. An (2016). Sorption of Phenanthrene onto Diatomite under the Influences of Solution Chemistry: A Study of Linear Sorption Based on Maximal Information Coefficient. Journal of Environmental Informatics (International Society for Environmental Information Sciences). doi:10.3808/jei.201600 329.
Wang, X., G. Huang, and J. Liu (2016). Twenty-First Century Probabilistic Projections of Precipitation over Ontario, Canada through a Regional Climate Model Ensemble. Climate Dynamics (Springer), 46(11-12):3979-4001. doi:10.1007/s00382-015-2816-6.
Zhuang, X., Y. Li, G. Huang, and X. Wang (2016). A Hybrid Factorial Stepwise-Cluster Analysis Method for Streamflow Simulation – A Case Study in Northwestern China. Hydrological Sciences Journal (International Association of Hydrological Sciences), 61(15):2775-2788. doi:10.1080/02626667.2015.1125482.
Wang, X., G. Huang, J. Liu, Z, Li, and S. Zhao (2015). Ensemble Projections of Regional Climatic Changes over Ontario, Canada. Journal of Climate (American Meteorological Society), 28:7327-7346. doi:10.1175/JCLI-D-15-0185.1.
Li, Z., G. Huang, J. Han, X. Wang, Y. Fan, G. Cheng, H. Zhang, and W. Huang (2015). Development of a Stepwise-Clustered Hydrological Inference Model. Journal of Hydrologic Engineering (American Society of Civil Engineers), 20(10):04015008. doi:10.1061/(ASCE)HE.1943-5584.0001165.
Wang, X., G. Huang, Q. Lin, X. Nie, and J. Liu (2015). High-Resolution Temperature and Precipitation Projections over Ontario, Canada: A Coupled Dynamical-Statistical Approach. Quarterly Journal of the Royal Meteorological Society (Royal Meteorological Society), 141(689): 1137-1146. doi:10.1002/qj.2421.
Fan, Y., W. Huang, G. Huang, Z. Li, Y. Li, X. Wang, G. Cheng, and L. Jin (2015). A Stepwise-Cluster Forecasting Approach for Monthly Streamflows Based on Climate Teleconnections. Stochastic Environmental Research and Risk Assessment (Springer), 29(6):1557-1569. doi:10.1007/s00477-015-1048-y.
Wang, X., G. Huang, and J. Liu (2015). Projected Increases in Near-Surface Air Temperature over Ontario, Canada: A Regional Climate Modeling Approach. Climate Dynamics (Springer), 45(5-6):1381-1393. doi:10.1007/s00382-014-2387-y.
Wang, X. and G. Huang (2015). Impacts Assessment of Air Emissions from Point Sources in Saskatchewan, Canada – A Spatial Analysis Approach. Environmental Progress & Sustainable Energy (American Institute of Chemical Engineers), 34:304-313. doi:10.1002/ep.11948.
Wang, X., G. Huang, S. Zhao, and J. Guo (2015). An Open-Source Software Package for Multivariate Modeling and Clustering: Applications to Air Quality Management. Environmental Science and Pollution Research (Springer), 22(18):14220-14233. doi:10.1007/s11356-015-4664-7.
Wang, X., G. Huang, Q. Lin, and J. Liu (2014). High-Resolution Probabilistic Projections of Temperature Changes over Ontario, Canada. Journal of Climate (American Meteorological Society), 27:5259-5284. doi:10.1175/JCLI-D-13-00717.1.
Wang, X., G. Huang, and J. Liu (2014). Projected Increases in Intensity and Frequency of Rainfall Extremes Through a Regional Climate Modeling Approach. Journal of Geophysical Research: Atmospheres (American Geophysical Union), 119:13271-13286. doi:10.1002/2014JD022564.
Wang, X. and G. Huang (2014). A Greenhouse Gas Baseline Emission Level Reporting System. International Journal of Performability Engineering (RAMS Consultants). 10(2): 230-234.
Wang, X. and G. Huang (2014). Violation Analysis on Two-Step Method for Interval Linear Programming. Information Sciences (Elsevier), 281:85-96. doi:10.1016/j.ins.2014.05.019.
Wang, X., G. Huang, Q. Lin, X. Nie, G. Cheng, Y. Fan, Z. Li, Y. Yao, and M. Suo (2013). A Stepwise Cluster Analysis Approach for Downscaled Climate Projection – A Canadian Case Study. Environmental Modelling & Software (Elsevier), 49:141-151. doi:10.1016/j.envsoft.2013.08.006.
Jin, L., G. Huang, L. Wang, and X. Wang (2013). Robust Fully Fuzzy Programming with Fuzzy Set Ranking Method for Environmental Systems Planning Under Uncertainty. Environmental Engineering Science (Mary Ann Liebert Inc.), 30(6):280-293. doi:10.1089/ees.2012.0144.
Wang, X., G. Huang, and Q. Lin (2012). An Interval Mixed-Integer Non-Linear Programming Model to Support Regional Electric Power Systems Planning with CO2 Capture and Storage under Uncertainty. Environmental Systems Research (Springer), 1(1):1-13. doi:10.1186/2193-2697-1-1.
News related to Dr Xander Wang
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On March 10th, 2023, the PEI Section of the Canadian Society for Civil Engineering (CSCE) has been officially launched by its inaugural executive committee in the Canadian Centre for Climate Change and Adaptation (CCCCA) at Read more… - Assessing Future Climate Change Impacts on PotatoYields—A Case Study for Prince Edward Island, Canada
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Ryan Guild, Dr. Xander Wang and other co-author have recently published a study on tracking deforestation, drought, and fire occurrence in Kutai National Park, Indonesia in the Remote Sensing journal. DOI https://doi.org/10.3390/rs14225630 Abstract The dry Read more… - Dr. Wang inducted as a member of the RSC College
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On November 22, 2022, the Canadian Centre for Climate Change and Adaptation (CCCCA) hosted guest speakers from Island Studies, UPEI. Dr. Xander Wang, director of the Climate Smart Lab, welcomed all Island Studies participants visiting Read more… - Dr. Wang delivered a public talk at the Town of Cornwall
During the Annual General Meeting that took place in the Town of Cornwall, Prince Edward Island, on November 17, 2022, Dr. Xander Wang, Director of Climate Smart Lab, delivered a talk to the public. As Read more… - Why a UPEI researcher says Islanders should prepare for more frequent extreme weather
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Dr. Xander Wang, an associate professor in the UPEI School of Climate Change and Adaptation, has been named a member of the Royal Society of Canada (RSC) College of New Scholars. Wang is one Read more… - PEOPLE 2022 -A hybrid International Conference in Charlottetown, PEI
PEOPLE 2022 – A Hybrid International Conference on Persistent, Emerging, and Organic Pollution in the Environment – Challenges and Solutions under Climate Change was held on August 23–26, 2022 in Charlottetown, PEI. This is an Read more… - Dr. Xander Wang gave an overview of the undergraduate program.
On June 10, 2022 at the Canadian Centre for Climate Change and Adaptation (CCCCA), Dr. Xander Wang presented to undergraduate students about the courses that will be offered at the School of Climate Change and Read more… - Climate Smart Lab team presented and volunteered at CSBE-CSGAB conference
The Climate Smart Lab team presented and volunteered at the Canadian Society for Bioengineering 2022 Annual General Meeting, held July 24-27, 2022 in Charlottetown, PEI. Dr. Xander Wang served as committee member and technical chair Read more… - Mitigation of greenhouse gas emissions from agricultural fields through bioresource management
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Dr. Xander Wang, director of the Climate Smart Lab from the School of Climate Change and Adaptation, Faculty of Science, University of Prince Edward Island, has been nominated as one of four excellent academics to Read more… - Dr Xander and his research team has been recently published a study on flood risk management
Journal: Remote Sensing DOI: https://doi.org/10.3390/rs14092138 Abstract: One-dimensional (1D) hydraulic models have been extensively used to conduct flood simulations for investigating flood depth and extent maps. However, the 1D models cannot simulate many other flood characteristics, such as flood Read more… - UPEI researchers seek to identify climate-resilient and wart-resistant potato varieties on PEIA multidisciplinary team at the University of Prince Edward Island made up of experts in climate change, gene sequencing, agriculture diseases, and precision agriculture has received $20,000 in funding from Genome Atlantic for a research project titled Read more…