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暨南大学环境与气候研究院导师教师师资介绍简介-王伟文

本站小编 Free考研考试/2021-05-22

个人简介

2018.至今,暨南大学环境与气候研究院,副教授
2014.02,香港中文大学建筑学院,博士后
2010.007,香港城市大学能源及环境学院,理学博士
2007.0-7,中国科学院研究生院,理学硕士

研究方向

城市气候,气候变化与极端天气

荣誉奖励



学术论著

Wang, W.*, and E. Ng, 2018: Large-eddy simulations of air ventilation in parametric scenarios: comparative studies of urban form and wind direction.Architectural Science Review, 61, 215–225. doi: 10.1080/**.2018.**

Wang, W.*, Y. Xu, E. Ng, and S. Raasch, 2018: Evaluation of satellite-derived building height extraction by CFD simulations: A case study of neighborhood-scale ventilation in Hong Kong.Landscape and Urban Planning, 170, 90–102. doi: 10.1016/j.landurbplan.2017.11.008
Wang, W.*, and E. Ng, 2018: Air ventilation assessment under unstable atmospheric stratification — A comparative study for Hong Kong.Building and Environment, 130, 1–13. doi: 10.1016/j.buildenv.2017.12.018
Wang, W.*, Y. Xu, and E. Ng, 2018: Large-eddy simulations of pedestrian-level ventilation for assessing a satellite-based approach to urban geometry generation.Graphical Models, 95, 29–41. doi: 10.1016/j.gmod.2017.06.003
Wang, W.*, E. Ng, C. Yuan, and S. Raasch, 2017: Large-eddy simulations of ventilation for thermal comfort — A parametric study of generic urban configurations with perpendicular approaching winds.Urban Climate, 20,202–227.doi: 10.1016/j.uclim.2017.04.007
Xu, Y., C. Ren*, P. Ma, J. Ho,W. Wang, K. Lau, H. Lin, and E. Ng, 2017: Urban morphology detection and computation for urban climate research,Landscape and Urban Planning,167,212–224. doi: 10.1016/j.landurbplan.2017.06.018
Wang, W., and W. Zhou*, 2017: Statistical modeling and trend detection of extreme sea level records in the Pearl River Estuary.Advances in Atmospheric Sciences, 34,383–396. doi: 10.1007/s00376-016-6041-y
Wang, W., W. Zhou*, E. Y. Y. Ng, and Y. Xu, 2016: Urban heat island in Hong Kong: Statistical modeling and trend detection.Natural Hazards, 83,885–907.doi: 10.1007/s11069-016-2353-6
Wang, W., W. Zhou*, X. Li, X. Wang, andD. Wang, 2016: Synoptic-scale characteristics and atmospheric controls of summer heat waves in China.Climate Dynamics, 46, 2923–2941. doi: 10.1007/s00382-015-2741-8
Wang, W., W. Zhou*, S. K. Fong,K. C. Leong, I. M. Tang, S. W. Chang, and W. K. Leong,2015: Extreme rainfall and summer heat waves in Macau based on statistical theory of extreme values.Climate Research,66, 91–101. doi: 10.3354/cr01336
Wang, W., W. Zhou*, Y. Li, X. Wang, and D. Wang, 2015: Statistical modeling and CMIP5 simulations of hot spell changes in China.Climate Dynamics, 44, 2859–2872. doi: 10.1007/s00382-014-2287-1
Wang, W., W. Zhou*, and D. Chen, 2014: Summer high temperature extremes in Southeast China: bonding with the El Ni?o-Southern Oscillation and East Asian summer monsoon coupled system.Journal of Climate, 27, 4122–4138. doi: 10.1175/JCLI-D-13-00545.1
Shu, Y., J. Chen, J. Yao, J. Pan,W. Wang, H. Mao, and D. Wang*, 2014: Effects of the Pearl River plume on the vertical structure of coastal currents in the Northern South China Sea during summer 2008.OceanDynamics, 64: 1743–1752. doi: 10.1007/s10236-014-0779-5
Wang, W., W. Zhou*, X. Wang, S. K. Fong, and K. C. Leong, 2013: Summer high temperature extremes in Southeast China associated with the East Asian jet stream and circumglobal teleconnection.Journal of Geophysical Research Atmospheres, 118, doi:10.1002/jgrd.50633
Wang, W., D. Wang*, W. Zhou, Q. Liu, Y. Yu, and C. Li, 2011: Impact of the South China Sea throughflow on the Pacific low-latitude western boundary current: A numerical study for seasonal and interannual time scales.Advances in Atmospheric Sciences, 28(6), 1367–1376. doi: 10.1007/s00376-011-0142-4
王伟文,俞永强,李超,周文,刘钦燕,王东晓*, LICOM模拟的南海贯穿流及其对南海上层热含量的影响.海洋学报,2010, 32(2): 1-11.
舒业强*,隋丹丹,王伟文,肖贤俊,南海北部集合卡曼滤波同化SST试验.热带海洋学报,2010, 29(5): 10-16.
Wang, D.*, Y. Deng, andW. Wang,2009: Research Progress in the South China Sea Circulation and Local Air-Sea Interaction during 2003~2006. InAdvances in Geosciences, Vol.12: Ocean Science (OS):145–160. J. Gan et al. (Eds.). World Scientific Publishing Company, Singapore.

科研项目



研究团队

区域空气质量与气候相互作用数值模拟团队
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