Climate Smart Lab

Note: * indicates HQPs who are supervised or co-supervised by Dr. Xander Wang. Only peer-reviewed journal publications are listed here.

1 Guild, R.*, X. Wang, and P. Quijon (2025). Climate Change Impacts on Coastal Ecosystems. Environmental Research: Climate, 3(4):042006. DOI:https://doi.org/10.1088/2752-5295/ad9f90

2 Pang, T.*, X. Wang, M. Q. Mahmood*, and S. Basheer* (2025). Reconstruction of Long-Term Hourly Sea Level Data for Prince Edward Island, Canada. Scientific Data. DOI:https://doi.org/10.1038/s41597-025-04378-1

3 Liu, K., A. Raisolsadat*, X. Wang, and Q. V. Dau* (2024). Quantitative assessment of The Group of Seven’s collaboration in sustainable development goals. Nature Communications, 15(7274). DOI:https://doi.org/10.1038/s41467-024-51663-5

4 Zhang, S.*, X. Wang, P. Kinay*, and Q. Dau* (2024). Climate Change Impacts on Potato Storage. Foods, 13(7):1119. DOI:https://doi.org/10.3390/foods13071119

5 Guo, J., Z. Chen, J. Meng, H. Zheng, Y. Fan, L. Ji, X. Wang, and X. Liang (2024). Picturing China's photovoltaic energy future: Insights from CMIP6 climate projections. Renewable and Sustainable Energy Reviews, 189(114026). DOI:https://doi.org/10.1016/j.rser.2023.114026

6 Wang, X., V. T. V. Nguyen, X. Zhou, and M. R. Najafi (2024). Building flood resilience under climate change. Frontiers in Environmental Science. DOI:https://doi.org/10.3389/fenvs.2024.1365749

7 Pang, T.*, X. Wang, S. Basheer*, and R. Guild* (2024). Landcover-based detection of rapid impacts of extreme storm on coastal landscape. Science of the Total Environment, 932:173099. DOI:https://doi.org/10.1016/j.scitotenv.2024.173099

8 Shah, A.* and X. Wang (2024). Assessing Social-Ecological Vulnerability and Risk to Coastal Flooding: A Case Study for Prince Edward Island, Canada. International Journal of Disaster Risk Reduction, 106:104450. DOI:https://doi.org/10.1016/j.ijdrr.2024.104450

9 Wang, X., Q. V. Dau*, and F. Aziz* (2024). Real-Time Peak Flow Prediction Based on Signal Matching. Environmental Modelling & Software, 172:105926. DOI:https://doi.org/10.1016/j.envsoft.2023.105926

10 Basheer, S.*, X. Wang, A. Farooque, R. A. Nawaz*, T. Pang*, and E. O. Neokye* (2024). A Review of Greenhouse Gas Emissions from Agricultural Soil. Sustainability, 16(11):4789. DOI:https://doi.org/10.3390/su16114789

11 Maqsood, J*, X. Wang, A. Farooque, and R. A. Nawaz* (2024). Future projections of temperature-related indices in Prince Edward Island using ensemble average of three CMIP6 models. Scientific Reports, 14(12661). DOI:https://doi.org/10.1038/s41598-024-63450-9

12 Neokye, E. O.*, X. Wang, K. Thakur, P. Quijon, and R. A. Nawaz* (2024). Climate change impacts on oyster aquaculture - Part II: Impact assessment and adaptation measures. Environmental Research, 259(119535). DOI:https://doi.org/10.1016/j.envres.2024.119535

13 Neokye, E. O.*, X. Wang, K. Thakur, P. Quijon, R. A. Nawaz*, and S. Basheer (2024). Climate change impacts on oyster aquaculture - Part I: Identification of key factors. Environmental Research, 251(118561). DOI:https://doi.org/10.1016/j.envres.2024.118561

14 Liu, Z., J. Guo, X. Wang, Y. Wang, W. Li, X. Wang, Y. Fan, and W. Wang (2024). Prediction of long-term photovoltaic power generation in the context of climate change. Renewable Energy. DOI:https://doi.org/10.1016/j.renene.2024.121263

15 Tamayo-Vera, D.*, X. Wang, and M. Mesbah (2024). A Review of Machine Learning Techniques in Agroclimatic Studies. Agriculture, 14(3):481. DOI:https://doi.org/10.3390/agriculture14030481

16 Ji, L., J. Li, L. Sun, S. Wang, J. Guo, Y. Xie, and X. Wang (2024). China's onshore wind energy potential in the context of climate change. Renewable and Sustainable Energy Reviews, 203:114778. DOI:https://doi.org/10.1016/j.rser.2024.114778

17 Pang, T.*, M. A. R. Shah*, Q. V. Dau*, and X. Wang (2024). Assessing the social risks of flooding for coastal societies: a case study for Prince Edward Island, Canada. Environmental Research Communications, 6(7):075027. DOI:https://doi.org/10.1088/2515-7620/ad61c8

18 Mahmood, M. Q.*, X. Wang, F. Aziz*, and T. Pang* (2024). Evaluating the sustainability of groundwater abstraction in small watersheds using time series analysis. Groundwater for Sustainable Development, 26(101288). DOI:https://doi.org/10.1016/j.gsd.2024.101288

19 Basheer, S.*, X. Wang, R. A. Nawaz*, T. Pang*, T. Adekanmbi*, and M. Q. Mahmood* (2024). A comparative analysis of PlanetScope 4-band and 8-band imageries for land use land cover classification. Geomatica, 76(2):10023. DOI:https://doi.org/10.1016/j.geomat.2024.100023

20 Guild, R.*, X. Wang, S. Hirtle, and S. Mader (2024). Spatiotemporal and weather effects on the reproductive success of piping plovers on Prince Edward Island, Canada. Ecology and Evolution. DOI:https://doi.org/10.1002/ece3.11581

21 Dau, Q. V.*, X. Wang, F. Aziz*, R. A. Nawaz*, T. Pang*, M. Q. Mahmood*, and M. Fortin (2024). Pluvial flood modeling for coastal areas under future climate change – A case study for Prince Edward Island, Canada. Journal of Hydrology, 641:131769. DOI:https://doi.org/10.1016/j.jhydrol.2024.131769

22 Basheer, S.*, X. Wang, Q. V. Dau*, M. Awais*, P. Kinay*, T. Pang*, and M. Q. Mahmood* (2024). Quantification of Carbon Flux Patterns in Ecosystems: A Case Study of Prince Edward Island. Land, 13(10):1692. DOI:https://doi.org/10.3390/land13101692

23 Tamayo-Vera, D.*, K. Liu, A. Bolufé-Röhler, and X. Wang (2024). Projecting future changes in potato yield using machine learning techniques: a case study for Prince Edward Island, Canada. Environmental Research Communications, 6(105025). DOI:https://doi.org/10.1088/2515-7620/ad85c5

24 Chen, Z., W. Li, X. Wang, J. Bai, X. Wang, and J. Guo (2024). Evaluating wind and solar complementarity in China: Considering climate change and source-load matching dynamics. Energy, 312(133485). DOI:https://doi.org/10.1016/j.energy.2024.133485

25 Aziz, F.*, X. Wang, M. Q. Mahmood*, and R. Guild* (2024). Wastewater flooding risk assessment for coastal communities: Compound impacts of climate change and population growth. Journal of Hydrology, 645A(132136). DOI:https://doi.org/10.1016/j.jhydrol.2024.132136

26 Aziz, F.*, X. Wang, M. Q. Mahmood*, M. Awais*, and B. Trenout (2024). Coastal urban flood risk management: Challenges and opportunities − A systematic review. Journal of Hydrology, 645B(132271). DOI:https://doi.org/10.1016/j.jhydrol.2024.132271

27 Imtiaz, F., A. Farooque, G. Randhawa, X. Wang, T. Esau, B. Acharya, and S. E. Hashemi (2024). An Inclusive Approach to Crop Soil Moisture Estimation: Leveraging Satellite Thermal Infrared Bands and Vegetation Indices on Google Earth Engine. Agricultural Water Management, 306:109172. DOI:https://doi.org/10.1016/j.agwat.2024.109172

28 Guild, R.* and X. Wang (2024). Piping Plover Habitat Changes and Nesting Responses Following Post-Tropical Cyclone Fiona on Prince Edward Island, Canada. Remote Sensing, 16(24):4764. DOI:https://doi.org/10.3390/rs16244764

29 MacEachern, J.*, B. MacInnis*, D. MacLeod*, R. Munkres*, S. K. Jaspal*, P. Kinay*, and X. Wang (2024). Destination Management Organizations’ Roles in Sustainable Tourism in the Face of Climate Change: An Overview of Prince Edward Island. Sustainability, 16(7):3049. DOI:https://doi.org/10.3390/su16073049

30 Hussain, S., B. Niyazi, A. M. Elfei, M. Masoud, X. Wang, and M. Awais* (2024). SWAT-Driven Exploration of Runoff Dynamics in Hyper-Arid Region, Saudi Arabia: Implications for Hydrological Understanding. Water, 16(14):2043. DOI:https://doi.org/10.3390/w16142043

31 Wang, X., (2023). Remote Sensing Applications to Climate Change. Remote Sensing, 15(3):747. DOI:https://doi.org/10.3390/rs15030747

32 Rahim, A., X. Wang, N. Javeed, F. Aziz*, A. Jahangir, and T. Khurshid (2023). The Ecological Perturbation of Mangla Watershed in Pakistan due to Hydrological Alteration. Water, 15(4):656. DOI:https://doi.org/10.3390/w15040656

33 Haldane, E.*, L. MacDonald*, N. Kressin*, Z. Furotte*, P. Kinay*, R. Guild*, and X. Wang (2023). Sustainable Tourism in the Face of Climate Change: An Overview of Prince Edward Island. Sustainability, 15(5):4463. DOI:https://doi.org/10.3390/su15054463

34 Rahim, A., X. Wang, N. Javeed, F. Aziz*, A. Jahangir, and T. Khurshid (2023). Early 21st Century Trends of Temperature Extremes over the Northwest Himalayas. Atmosphere, 14(3):454. DOI:https://doi.org/10.3390/atmos14030454

35 Guo, J., Y. Shen, X. Wang, X. Liang, Z. Liu, and L. Liu (2023). Evaluation and Projection of Precipitation Extremes under 1.5°C and 2.0°C GWLs over China using Bias-corrected CMIP6 models. iScience. DOI:https://doi.org/10.1016/j.isci.2023.106179

36 Adekanmbi, T.*, X. Wang, S. Basheer*, R. A. Nawaz*, T. Pang*, Y. Hu, and S. Liu (2023). Assessing Future Climate Change Impacts on Potato Yields — A Case Study for Prince Edward Island, Canada. Foods, 12(6):1176. DOI:https://doi.org/10.3390/foods12061176

37 Maqsood, J.*, H. Afzaal, F. Aitazaz, F. Abbas, X. Wang, and T. Esau (2023). Statistical Downscaling and Projection of Climatic Extremes Using Machine Learning Algorithms. Theoretical and Applied Climatology. DOI:https://doi.org/10.1007/s00704-023-04532-y

38 Zhuo, C., J. Guo, L. Wei, H. Jia, X. Liang, X. Wang, and B. Zhe (2023). Evaluating Emission Reduction Potential at the “30-60 Dual Carbon Targets” over China from a View of Wind Power Under Climate Change. Science of The Total Environment. DOI:https://doi.org/10.1016/j.scitotenv.2023.165782

39 Kinay, P.*, X. Wang, P. J. Augustine, and M. Augustine (2023). Reporting Evidence on the Environmental and Health Impacts of Climate Change on Indigenous Peoples of Atlantic Canada: A Systematic Review. Environmental Research: Climate. DOI:https://doi.org/10.1088/2752-5295/accb01

40 Guo, J., X. Wang, Y. Fan, X. Liang, H. Jia, and L. Liu (2023). How extreme events in China would be affected by global warming - insights from a bias-corrected CMIP6 ensemble. Earth’s Future. DOI:https://doi.org/10.1029/2022EF003347

41 Guo, J., X. Liang, X. Wang, Y. Fan, and L. Liu (2023). Potential benefits of limiting global warming for the mitigation of temperature extremes in China. npj Climate and Atmospheric Science. DOI:https://doi.org/10.1038/s41612-023-00412-4

42 Nawaz, R.*, X. Wang, S. Basheer*, K. Sonier*, T. Pang*, and T. Adekanmbi* (2023). Spatiotemporal Trends in Temperature and Precipitation for Prince Edward Island over 1971-2020. Canadian Journal for Civil Engineering. DOI:https://doi.org/10.1139/cjce-2023-0186

43 Pang, T.*, X. Wang, R. Nawaz*, G. Keefe*, and T. Adekanmbi* (2023). Coastal Erosion and Climate Change: A Review on Coastal-Change Process and Modeling. Ambio. DOI:https://doi.org/10.1007/s13280-023-01901-9

44 Wang, X., and L. Liu (2023). The Impacts of Climate Change on the Hydrological Cycle and Water Resource Management. Water. DOI:https://doi.org/10.3390/w15132342

45 Dau, Q.*, X. Wang, A. Shah*, P. Kinay*, and S. Basheer* (2023). Assessing the Potential Impacts of Climate Change on Current Coastal Ecosystems – A Canadian Case Study. Remote Sensing. DOI:https://doi.org/10.3390/rs15194742

46 Wu, C., X. Wang, and L. Liu (2023). Energy, Economy, and Climate Interactions: Challenges and Opportunities. Frontiers in Earth Science. DOI:https://doi.org/10.3389/feart.2023.1298407

47 Imtiaz, F., F. Aitazaz, X. Wang, F. Abbas, H. Afzaal, T. Esau, B. Acharya, and Q. Zaman (2023). Mapping Crop Evapotranspiration with High-Resolution Imagery and Meteorological Data: Insights into Sustainable Agriculture in Prince Edward Island. Frontiers in Remote Sensing. DOI:https://doi.org/10.3389/frsen.2023.1274019

48 Sanaullah, M., X. Wang, S. R. Ahmad, K. Mirza, M. Q. Mahmood*, and M. Kamran (2023). Exploring water balance components of an inter-fluvial basin using numerical flow modelling: A case study of Rechna Doab, Pakistan. Water, 15(23):4193. DOI:https://doi.org/10.3390/w15234193

49 Pang, T.*, H. Penney, and X. Wang (2023). Effective Communication of Coastal Flood Warnings: Challenges and Recommendations. Sustainability, 15(24):16693. DOI:https://doi.org/10.3390/su152416693

50 Adekanmbi, T.*, X. Wang, S. Basheer*, S. Liu, A. Yang, and H. Cheng (2023). Climate Change Impacts on Global Potato Yields: A Review. Environmental Research: Climate. DOI:https://doi.org/10.1088/2752-5295/ad0e13

51 Maqsood, J., A. Farooque, F. Abbas, T. Esau, X. Wang, B. Acharya, and H. Afzaal (2022). Application of Artificial Neural Networks to Project Reference Evapotranspiration Under Climate Change Scenarios. Water Resources Management. DOI:https://doi.org/10.1007/s11269-021-02997-y

52 Guo, J.*, Wang, X., C. Xiao, L. Liu, T. Wang, and C. Shen (2022). Evaluation of the Temperature Downscaling Performance of PRECIS to the BCC-CSM2-MR Model over China. Climate Dynamics. DOI:https://doi.org/10.1007/s00382-022-06177-5

53 Wang, X., Y. Fan, S. Zhao, Y. Xie, and H. von Storch (2022). Future Climate Scenarios: Regional Climate Modelling and Data Analysis. Frontiers in Environmental Science. DOI:https://doi.org/10.3389/fenvs.2022.858153

54 Ahmad, I., X. Wang, M. Waseem, M. Zaman, F. Aziz*, R.Z.N. Khan, and M. Ashraf (2022). Flood Management, Characterization and Vulnerability Analysis Using an Integrated RS-GIS and 2D Hydrodynamic Modelling Approach: The Case of Deg Nullah, Pakistan. Remote Sensing, 14(9):2138. DOI:https://doi.org/10.3390/rs14092138

55 Khan, R., A. Abbas, A. Farooque, F. Abbas, and X. Wang (2022). Mitigation of Greenhouse Gas Emissions from Agricultural Fields through Bioresource Management. Sustainability, 14(9):5666. DOI:https://doi.org/10.3390/su14095666

56 Farooque, A., N. Hussain, A. Schumann, F. Abbas, H. Afzaal, A. McKenzie-Gopsill, T. Esau, Q. Zaman, and X. Wang (2022). Field Evaluation of a Deep Learning-Based Smart Variable-Rate Sprayer for Targeted Application of Agrochemicals. Smart Agricultural Technology, 3:100073. DOI:https://doi.org/10.1016/j.atech.2022.100073

57 Wang, X., J. Guo, A. Fenech, and A. Farooque (2022). Future Climate Projections for Eastern Canada. Climate Dynamics. DOI:https://doi.org/10.1007/s00382-022-06251-y

58 Lu, C.*, G. Huang, X. Wang, and F. Wang (2022). Spatiotemporal Heterogeneity of Precipitation over China and Their Connections with Large-Scale Climate Oscillations – A Moisture Budget Perspective. Journal of Climate, 35(16):5257–5281. DOI:https://doi.org/10.1175/JCLI-D-21-0840.1

59 Song, T.*, G. Huang, and X. Wang (2022). Neglected Spatiotemporal Variations of Model Biases in Ensemble-Based Climate Projections. Geophysical Research Letters, 49(16):e2022GL098063. DOI:https://doi.org/10.1029/2022GL098063

60 Ji, L., Y. Wu, L. Sun, X. Zhao, X. Wang, Y. Xie, J. Guo, and G. Huang (2022). Solar photovoltaics can help China fulfill a net-zero electricity system by 2050 even facing climate change risks. Resources, Conservation and Recycling, 186:106596. DOI:https://doi.org/10.1016/j.resconrec.2022.106596

61 Zhou, X., G. Huang, Y. Fan, X. Wang, and Y. Li (2022). A mixed-level factorial inference approach for ensemble long-term hydrological projections over the Jing River Basin. Journal of Hydrometeorology. DOI:https://doi.org/10.1175/JHM-D-21-0158.1

62 Basheer, S.*, X. Wang, A. Farooque, R.A. Nawaz, K. Liu, T. Adekanmbi, and S. Liu (2022). Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques. Remote Sensing, 14(19):4978. DOI:https://doi.org/10.3390/rs14194978

63 Guild, R.*, X. Wang, and A. Russon (2022). Tracking Deforestation, Drought, and Fire Occurrence in Kutai National Park, Indonesia. Remote Sensing, 14(22):5630. DOI:https://doi.org/10.3390/rs14225630

64 Sun, C., G. Huang, Y. Fan, X. Zhou*, C. Lu*, and X. Wang (2021). Vine Copula Ensemble Downscaling for Precipitation Projection over the Loess Plateau Based on High-Resolution Multi-RCM Outputs. Water Resources Research, 57(1):2020WR027698. DOI:https://doi.org/10.1029/2020WR027698

65 Lu, C.*, G. Huang, X. Wang, and L. Liu (2021). Ensemble Projection of City-Level Temperature Extremes with Stepwise Cluster Analysis. Climate Dynamics. DOI:https://doi.org/10.1007/s00382-021-05644-9

66 Lu, C.*, G. Huang, X. Wang, and T. Song (2021). Long-Term Projection of Water Cycle Changes over China Using the RegCM. Remote Sensing, 13(9):3832. DOI:https://doi.org/10.3390/rs13193832

67 Jardine, D.*, X. Wang, and A. Fenech (2021). Highwater Mark Collection after Post Tropical Storm Dorian and Implications for Prince Edward Island, Canada. Water, 13(22):3201. DOI:https://doi.org/10.1007/s00382-021-05644-9

68 Wang, X., A. Yang, A. Fenech, and H. Cheng (2021). Environmental Systems Modelling and Analysis Under Changing Conditions. Mathematical Problems in Engineering. DOI:https://doi.org/10.1155/2021/9780860

69 Farooque, A., H. Afzaal, F. Abbas, M. Bos, J. Maqsood, X. Wang, and N. Hussain (2021). Forecasting Daily Evapotranspiration using Artificial Neural Networks for Sustainable Irrigation Scheduling. Irrigation Science. DOI:https://doi.org/10.1007/s00271-021-00751-1

70 Song, T.*, G. Huang, G. Wang, Y. Li, X. Wang, C. Lu, and Z. Shen (2021). Bayesian Model Averaging of the RegCM Temperature Projections: A Canadian Case Study. Journal of Water and Climate Change. DOI:https://doi.org/10.2166/wcc.2021.393

71 Wang, X., A. Fenech, and A. A. Farooque (2021). Possibility of Stabilizing the Greenland Ice Sheet. Earth’s Future, 9(7):e2021EF002152. DOI:https://doi.org/10.1029/2021EF002152

72 Guo, J.*, G. Huang, X. Wang, Y. Xu, and Y. Li (2020). Projected Changes in Wind Speed and Its Energy Potential in China Using a High-Resolution Regional Climate Model. Wind Energy, 23(3):471-485. DOI:https://doi.org/10.1002/we.2417

73 Guo, J.*, G. Huang, X. Wang, Y. Wu*, Y. Li, R. Zheng, and L. Song (2020). Evaluating the Added Values of Regional Climate Modeling over China at Different Resolutions. Science of the Total Environment, 718:137350. DOI:https://doi.org/10.1016/j.scitotenv.2020.137350

74 Guo, J.*, G. Huang, X. Wang, and C. Lu (2020). Projections of Daily Mean Surface Temperature over the Beijing-Tianjin-Hebei Region Through a Stepwise Cluster Downscaling Method. Theoretical and Applied Climatology, 141:71-86. DOI:https://doi.org/10.1007/s00704-020-03172-w

75 Maqsood, J., A. A. Farooque, X. Wang, F. Abbas, B. Acharya, and H. Afzaal (2020). Contribution of Climate Extremes to Variation in Potato Tuber Yield in Prince Edward Island. Sustainability, 12(12):4937. DOI:https://doi.org/10.3390/su12124937

76 Wang, S., J. Zhu, G. Huang, B. Baetz, G. Cheng, X. Zeng, and X. Wang (2020). Assessment of Climate Change Impacts on Energy Capacity Planning in Ontario, Canada Using High-Resolution Regional Climate Model. Journal of Cleaner Production. DOI:https://doi.org/10.1016/j.jclepro.2020.123026

77 Song, T.*, G. Huang, X. Wang, and X. Zhou* (2020). Factorial Scheme Analysis for Regional Climate Modeling – A Canadian Case Study. Journal of Geophysical Research - Atmospheres. DOI:https://doi.org/10.1029/2020JD032501

78 Wu, Y., J. Guo*, H. Lin, J. Bai, and X. Wang (2020). Spatiotemporal Patterns of Future Temperature and Precipitation over China Projected by PRECIS Under RCPs. Atmospheric Research, 249:105303. DOI:https://doi.org/10.1016/j.atmosres.2020.105303

79 Zhu, J.*, G. Huang, B. Baetz, X. Wang, and G. Cheng (2019). Climate Warming Will Not Decrease Perceived Low-Temperature Extremes in China. Climate Dynamics, 52(9-10):5641-5656. DOI:https://doi.org/10.1007/s00382-018-4469-8

80 Zhai, Y.*, G. Huang, X. Wang, X. Zhou*, C. Lu*, and Z. Li (2019). Future Projections of Temperature Changes in Ottawa, Canada Through Stepwise Clustered Downscaling of Multiple GCMs under RCPs. Climate Dynamics, 52(5-6):3455-3470. DOI:https://doi.org/10.1007/s00382-018-4340-y

81 Guo, J.*, G. Huang, X. Wang, and Y. Li (2019). Improved Performance of a PRECIS Ensemble in Simulating Near-Surface Air Temperature over China. Climate Dynamics, 52(11):6691-6704. DOI:https://doi.org/10.1007/s00382-018-4540-5

82 Sun, C., G. Huang, Y. Fan, X. Zhou*, C. Lu*, and X. Wang (2019). Drought Occurring with Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China. Earth’s Future, 7(6):587-604. DOI:https://doi.org/10.1029/2018EF001103

83 Liu, H., J. Nie, B. Cai, L. Cao, P. Wu, L. Pang, and X. Wang (2019). CO2 Emission Patterns of 26 Cities in the Yangtze River Delta in 2015: Evidence and Implications. Environmental Pollution, 252:1678-1686. DOI:https://doi.org/10.1016/j.envpol.2019.06.102

84 Lu, C.*, G. Huang, and X. Wang (2019). Projected Changes in Temperature, Precipitation, and Their Extremes over China Through the RegCM. Climate Dynamics, 53(9-10):5859-5880. DOI:https://doi.org/10.1007/s00382-019-04899-7

85 Wang, X., G. Kingsland, D. Poudel, and A. Fenech (2019). Urban Flood Prediction Under Heavy Precipitation. Journal of Hydrology, 577:123984. DOI:https://doi.org/10.1016/j.jhydrol.2019.123984

86 Zhou, X.*, G. Huang, X. Wang, Y. Fan, and G. Cheng (2018). A Coupled Dynamical-Copula Downscaling Approach for Temperature Projections over the Canadian Prairies. Climate Dynamics, 51(7-8):2413-2431. DOI:https://doi.org/10.1007/s00382-017-4020-3

87 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, 82(1):1056-1067. DOI:https://doi.org/10.1016/j.rser.2017.09.098

88 Zhou, X.*, G. Huang, X. Wang, and G. Cheng (2018). Dynamically-Downscaled Temperature and Precipitation Changes over Saskatchewan Using the PRECIS Model. Climate Dynamics, 50(3-4):1321-1334. DOI:https://doi.org/10.1007/s00382-017-3687-9

89 Guo, J.*, G. Huang, X. Wang, Y. Li, and Q. Lin (2018). Dynamically-Downscaled Projections of Changes in Temperature Extremes over China. Climate Dynamics, 50(3-4):1045-1066. DOI:https://doi.org/10.1007/s00382-017-3660-7

90 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, 50(11-12):4037-4060. DOI:https://doi.org/10.1007/s00382-017-3860-1

91 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, 144(711):588-603. DOI:https://doi.org/10.1002/qj.3231

92 Song, T.*, G. Huang, X. Zhou*, and X. Wang (2018). An Inexact Two-Stage Fractional Energy Systems Planning Model. Energy, 160:275-289. DOI:https://doi.org/10.1016/j.energy.2018.06.158

93 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, 188:142-156. DOI:https://doi.org/10.1016/j.atmosenv.2018.06.026

94 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, 123(11):5783-5803. DOI:https://doi.org/10.1029/2017JD027735

95 Wang, S., X. Wang, and Z. Li (2018). Diagnostic Evaluation and Uncertainty Quantification of Earth and Environmental Systems Models. Mathematical Problems in Engineering, 5308012. DOI:https://doi.org/10.1155/2018/5308012

96 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, 45(16):8536-8546. DOI:https://doi.org/10.1029/2018GL079564

97 Zhou, X.*, G. Huang, J. Piwowar, Y. Fan, X. Wang, Z. Li, and G. Cheng (2018). Hydrologic Impacts of Ensemble RCMs-Projected Climate Changes in the Athabasca River Basin, Canada. Journal of Hydrometeorology, 19(12):1953-1971. DOI:https://doi.org/10.1175/JHM-D-17-0232.1

98 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, 24(1):74-83. DOI:https://doi.org/10.1002/met.1606

99 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, 51:280-293. DOI:https://doi.org/10.1016/j.asoc.2016.11.039

100 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, 154:61-82. DOI:https://doi.org/10.1016/j.jclepro.2017.03.137

101 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, 5(3):285-303. DOI:https://doi.org/10.1002/2016EF000433

102 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, 5(11):1136-1155. DOI:https://doi.org/10.1002/2017EF000678

103 Wang, X., G. Huang, B. W. Baetz, and S. Zhao (2017). Probabilistic Projections of Regional Climatic Changes over the Great Lakes Basin. Climate Dynamics, 49(7-8):2237-2247. DOI:https://doi.org/10.1007/s00382-016-3450-7

104 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, 61(15):2775-2788. DOI:https://doi.org/10.1080/02626667.2015.1125482

105 Wang, X., G. Huang, and J. Liu (2016). Twenty-First Century Probabilistic Projections. Climate Dynamics, 46(11-12):3979-4001. DOI:https://doi.org/10.1007/s00382-015-2816-6

106 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. DOI:https://doi.org/10.3808/jei.201600329

107 Wang, X., G. Huang, and B. W. Baetz (2016). Dynamically-Downscaled Probabilistic Projections of Precipitation Changes: A Canadian Case Study. Environmental Research, 148:86-101. DOI:https://doi.org/10.1016/j.envres.2016.03.019

108 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, 51(9):759-768. DOI:https://doi.org/10.1080/10934529.2016.1170459

109 Wang, X., G. Huang, and J. Liu (2016). Observed Regional Climatic Changes over Ontario, Canada in Response to Global Warming. Meteorological Applications, 23(1):140-149. DOI:https://doi.org/10.1002/met.1541

110 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, 30(14):5313-5331. DOI:https://doi.org/10.1007/s11269-016-1489-1

111 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, 97:17-18. DOI:

112 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, 548-549:198-210. DOI:https://doi.org/10.1016/j.scitotenv.2016.01.002

113 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, 22(18):14220-14233. DOI:https://doi.org/10.1007/s11356-015-4664-7

114 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, 34:304-313. DOI:https://doi.org/10.1002/ep.11948

115 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, 45(5-6):1381-1393. DOI:https://doi.org/10.1007/s00382-014-2387-y

116 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, 29(6):1557-1569. DOI:https://doi.org/10.1007/s00477-015-1048-y

117 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, 141(689):1137-1146. DOI:https://doi.org/10.1002/qj.2421

118 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, 20(10):04015008. DOI:https://doi.org/10.1061/(ASCE)HE.1943-5584.0001165

119 Wang, X., G. Huang, J. Liu, Z, Li, and S. Zhao (2015). Ensemble Projections of Regional Climatic Changes over Ontario, Canada. Journal of Climate, 28:7327-7346. DOI:https://doi.org/10.1175/JCLI-D-15-0185.1

120 Wang, X. and G. Huang (2014). Violation Analysis on Two-Step Method for Interval Linear Programming. Information Sciences, 281:85-96. DOI:https://doi.org/10.1016/j.ins.2014.05.019

121 Wang, X. and G. Huang (2014). A Greenhouse Gas Baseline Emission Level Reporting System. International Journal of Performability Engineering, 10(2):230-234. DOI:

122 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, 119:13271-13286. DOI:https://doi.org/10.1002/2014JD022564

123 Wang, X., G. Huang, Q. Lin, and J. Liu (2014). High-Resolution Probabilistic Projections of Temperature Changes over Ontario, Canada. Journal of Climate, 27:5259-5284. DOI:https://doi.org/10.1175/JCLI-D-13-00717.1

124 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, 30(6):280-293. DOI:https://doi.org/10.1089/ees.2012.0144

125 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, 49:141-151. DOI:https://doi.org/10.1016/j.envsoft.2013.08.006

126 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, 1(1):1-13. DOI:https://doi.org/10.1186/2193-2697-1-1

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