Lujun ZHANG

Associate Professor


ljzhang@nju.edu.cn
Phone: 086-25-89681180

Career Overview

Dr. Zhang is mainly working on regional climate change and numerical simulation, development of sea-ice model and its application. Focusing on the causes of Arctic ice change and the model uncertainty, he has conducted the studies including the physical parameterization improvement, evaluation, optimization in sea-ice models, analysis of the connections between high-latitude atmospheric oscillation and polar sea ice, the mechanisms of extreme events from the perspective of Arctic ice change and the capability improvement in short-term climate prediction.

Education
 Sep. 2001-Jun. 2004Ph.D. in Meteorology – Nanjing University
 Sep. 1998-Jun. 2001M.Sc. in Meteorology –  Nanjing University
 Sep. 1990-Jun.1994B.Sc. in Phytoecology – Beihua University
Work Experience
 Sep. 2004 - PresentLecturer and Associate Professor (since June 2006)
School of Atmospheric Sciences
Nanjing University, Nanjing, China
 Jun. 2009 – Sep. 2009Visiting Scientist
Bedford Institute of Oceanography
Dartmouth, Nova Scotia, Canada
 Sep. 2006 – Jan. 2009Postdoctoral Scientist
School of Engineering Mathematics
Dalhousie University, Nova Scotia, Canada
 Sep. 1994 - Aug. 1999Lecturer
School of Environmental Resource
Beihua University, Jilin, China
Research Interests

   Climate change and Drought-Flood over East Asia
   Ice-Atmosphere interaction and its climate effect
   Development and evaluation of Sea-Ice model
   Applied meteorology of agricultural and Electric-Grid field

Teaching Interests

   “Foundation of Modern Climatology”
   “Physics of Climate”
   “Earth system modeling”
   “Statistical Forecast of Meteorology”
   “Ecological and Agricultural Climatology”

Selected Publications
 1.ZHANG Lujun and QIAN Yongfu, Annual distribution features of precipitation in China and their interannual variations, Acta Meteorologica Sinica, 2003, 17(2): 146-163.
 2.ZHANG Lujun and QIAN Yongfu, A study on the feature of precipitation concentration and its relation to flood-producing in the Yangtze River Valley of China, Chinese J. Geophys., 2004, 47(4): 622-630.
 3.QIU Bo, ZHANG Lujun*, et al. Study on the gale concentration degree and climatic tendency in China, Journal of the Meteorological Science, 2013, 33(5): 543-548.
 4.FENG Tao, ZHANG Lujun*, et al. Spatial-temporal distribution and cause of volume fraction of CO2 in northern hemisphere, Journal of the Meteorological Sciences, 2014, 34(5): 491-498.
 5.TAN Huihui, ZHANG Lujun*, et al. Ananalysis of simulated global sea ice extent, thickness, and causes of error with the BCC-CSM mode, Chinese Journal of Atmospheric Sciences, 2015, 39(1): 197-209.
 6.QIU Bo, ZHANG Lujun*, et al. Performance Analysis of Arctic Sea Ice Simulation in Climate System Models, Chinese Journal of Popar Research, 2015, 27(1): 197-209.
 7.ZHANG Lujun, WANG Le, XING Wenna, et al. Effect of different spatial resolutions and land surface paprameterization schemes on the short-term climate prediction in the Yangtze River basin, Advances in Water Science, 2016, 27(6): 800-811.
 8.CHU Min, FANG Yongjie, ZHANG Lujun*, Influence of albedo related parameters on the simulation of Arctic sea ice by CICE, Acta Meteorologica Sinica, 2018, 76(3): 461-472.
 9.CHU Min, SHI Xueli, FANG Yongjie, ZHANG Lujun*, Impacts of SIS and CICE as sea ice components in BCC-CSM during simulation of the Arctic climate, Acta Oceanol. Sinica, 2019, 38(9): 16-28.
 10.YANG Dongdong, ZHANG Lujun*, et al. Variation of the Winter Extreme Cold Events in the Northern Hemisphere and Its Relationship with Arctic Sea Ice in Autumn, Plateau Meteorology, 2019, 38(6): 1349-1361.
 11FANG Yongjie, CHU Min, WU Tongwen, ZHANG Lujun and NIE Sicheng Couping of CICE5.0 with BCC-CSM model its performance evaluation on Arctic sea ice simulation, Haiyang Xuebao, 2017, 39(5): 33-43.
  • Contact us
    njuas@nju.edu.cn
    (86)-25-89682575
    (86)-25-89683084 (fax)

  • Atmospheric Sciences Building
    Nanjing University · Xianlin Campus
    163 Xianlin Road, Qixia District
    Nanjing, Jiangsu Province, 210023