基本情况:

刘少锋(Dr. Shaofeng Liu)，理学博士、副教授、博士生导师。

 

联系方式:

通讯地址: 广州市海珠区新港西路135号 中山大学大气科学学院 (邮编510275)

Email: liushaof5@mail.sysu.edu.cn

 

教育经历：

2002.09 – 2008.03：中国科学院大气物理研究所，博士

1998.09 – 2002.06：南京气象学院（现南京信息工程大学）大气科学系，学士

 

工作经历：

2017.05 – 今：          中山大学大气科学学院，副教授

2011.03 – 2017.03：德国科隆大学，研究科学家

2010.07 – 2011.02：德国科隆大学，访问学者

2007.12 – 2011.09：中国科学院大气物理研究所，助理研究员

 

讲授课程：

流体力学（本科专业课）

地球系统模式中的数学物理问题（研究生专业课）

 

研究领域:

陆面过程、陆面-大气相互作用、环境模拟、湍流边界层

 

科研项目:

2024-2027 国家自然科学基金面上项目：陆面模式地表湍流交换方案研究（主持）

2019-2022 国家自然科学基金面上项目：非均匀地表陆气相互作用的理论与参数化（主持）

2017-2022 国家重大研发计划：高分辨率全球陆面过程模式研发与应用（参与）

2011-2017 德国科学基金会（DFG）TR32项目（参与）

2012-2014 国家自然科学基金青年基金：流量资料同化在区域陆面水文模拟中的应用（主持）

2010-2012 国家863计划：地球系统模式中的高效并行算法研究与并行耦合器研制（参与）

 

代表论著一览:

  • Liu, S., Zeng, X., Dai, Y., Yuan, H., Wei, N., Wei, Z., Lu, X., Zhang, S., & Brunke, M., 2025: Optimal Coupling Height of the Atmosphere and Land Surface—An Earth System Modeling Perspective. Advances in Atmospheric Sciences, 42, 417–426. https://doi.org/10.1007/s00376-024-3338-0 (封面文章)
  • Cao, B., Shao, Y., Yang, X., Yin, X., & Liu, S., 2024: Large-eddy simulation of turbulent flux patterns over Oasis surface. Atmospheric Chemistry and Physics, 24, 275–285, https://doi.org/10.5194/acp-24-275-2024
  • Wang, J., Fan. K.*, Xu., Z., & Liu., S.*, 2023: A dipole pattern of July precipitation between South China and the eastern Tibetan Plateau and impacts of ENSO. Climate Dynamics, https://doi.org/10.1007/s00382-023-06884-7
  • Liu, S., Zeng, X., Dai, Y., Yuan, H., Wei, N., Wei, Z., Lu, X., Zhang, S., & Li, X., 2023: Scale-Dependent Estimability of Turbulent Flux in the Unstable Surface Layer for Land Surface Modeling. Journal of Advances in Modeling Earth Systems, 15, e2022MS003567,  https://doi.org/10.1029/2022MS003567
  • Liu, S., X. Zeng, Y. Dai, H. Yuan, N. Wei, Z. Wei, X. Lu, and S. Zhang, 2022: A Surface Flux Estimation Scheme Accounting for Large-Eddy Effects for Land Surface Modeling. Geophysical Research Letters, 49, e2022GL101754. https://doi.org/10.1029/2022GL101754
  • Liu, R., S. Liu*, H. Huang, Y. Dai, X. Zeng, H. Yuang, Z. Wei, X. Lu, N. Wei, S. Zhang, and J. Wei, 2022: The effect of surface heating heterogeneity on boundary layer height and its dependence on background wind speed. Journal of Geophysical Research: Atmospheres, 127, e2022JD037168. https://doi.org/10.1029/2022JD037168.
  • Wang, J., X. Li, S. Liu*, T. Liu, Y. Dai, S. Yang, and H. Fowler, 2022: Leading modes of wind field variability over the western Tibet Plateau. Climate Dynamics, https://doi.org/10.1007/s00382-022-06358-2.
  • 黄慧珊, 刘少锋*, 刘锐, 2022: 地表热力非均匀性对近地层相似理论适用性影响的大涡模拟研究. 气候与环境研究，https://doi.org/10.3878/j.issn.1006-9585.2021.21075.
  • 郭琦, 刘少锋*, 袁华, 李红梅, 2022: 基于FLUXNET对陆面模式CoLM能量通量的单点评估. 气候与环境研究，https://doi.org/10.3878/j.issn.1006-9585.2021.21084.
  • Li, X., J. Yu, S. Liu, J. Wang, 2021: Is the Western Tibetan Vortex Generated from the near Surface Heating? Climate Dynamics, https://doi.org/10.1007/s00382-021-06001-6.
  • Li, H., Xingjie Lu, Zhongwang Wei, Siguang Zhu, Nan Wei, Shupeng Zhang, Hua Yuan,Wei Shangguan, Shaofeng Liu, Shulei Zhang, Jianfeng Huang and Yongjiu Dai, 2021: New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model. Forest, https://doi.org/10.3390/f12060722.
  • 彭静漫, 刘少锋*, 戴永久, 魏楠, 2020: 基于陆面模式基准平台ILAMB对陆面模式CoLM的评估. 气候与环境研究，25(6): 649-666.
  • Liu, S., X. Zeng, Y. Dai, and Y. Shao, 2019: Further Improvement of Surface Flux Estimation in the Unstable Surface Layer Based on Large-Eddy Simulation Data. Journal of Geophysical Research: Atmospheres, https://doi.org/10.1029/2018JD030222
  • Dai, Y., Q. Xin, N. Wei, Y. Zhang, W. Shangguan, H. Yuan, S. Zhang, S. Liu, X. Lu, 2019: A global high-resolution dataset of soil hydraulic and thermal properties for land surface modeling. Journal of Advances in Modeling Earth Systems, doi:10.1029/2019MS001784.
  • Dai, Y., Shangguan, W., Wei, N., Xin, Q., Yuan, H., Zhang, S., Liu, S., Lu, X., Wang, D., and Yan, F., 2019: A review of the global soil property maps for Earth system models. SOIL, 5, 137-158, https://doi.org/10.5194/soil-5-137-2019.
  • Dai, Y., Yuan, H., Xin, Q., Wang, D., Shangguan, W., Zhang, S., Liu, S., and Wei, N., 2019: Different representations of canopy structure—A large source of uncertainty in global land surface modeling: Agricultural and Forest Meteorology. 269-270, 119-135.
  • Dai, Y., Wei, N., Huang, A., Zhu, S., Shangguan, W., Yuan, H., Zhang, S., and Liu, S., 2018: The lake scheme of the Common Land Model and its performance evaluation. Chinese Science Bulletin, 63, 3002-3021.
  • Liu, S., Y. Shao, A. Kunoth, and C. Simmer, 2017: Impact of surface-heterogeneity on atmosphere and land surface interactions. Environmental Modelling and Software, doi:10.1016/j.envsoft.2016.11.006, 88, 35–47.
  • Liu, S., M. Hintz, and X. Li, 2016: Evaluation of Atmosphere-Land Interactions in an LES from the Perspective of Heterogeneity Propagation. Advances in Atmospheric Sciences, 33(5), 571–578, doi:10.1007/s00376-015-5212-6.
  • Liu, S., Y. Shao, M. Hintz, and S. Lennartz-Sassinek, 2015: Multi-scale decomposition for heterogeneous land-atmosphere systems. J. Geophys. Res. Atmos., 120, 917–930, doi:10.1002/2014JD022258.
  • Hintz, M., S. Lennartz-Sassineck, S. Liu and Y. Shao, 2014: Quantification of land surface heterogeneity via entropy spectrum. J. Geophys. Res. Atmos., 119, 8764–8777, doi:10.1002/2014JD021825.
  • Steinke, S., U. Löhnert, S. Crewell, S. Liu, 2013: Water vapor tomography with two microwave radiometers. Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2013.2264354, 11(2), 419–423.
  • Liu, S., Y. Shao, 2013: Soil layer configuration requirement for large-eddy atmosphere and land surface coupled modeling. Atmospheric Science Letters, DOI: 10.1002/asl.426, 14, 112–117.
  • Shao, Y., S. Liu, J. Schween, S. Crewell, 2013: Large-Eddy Atmosphere - Land Surface Modeling over Heterogeneous Surfaces: Model Development and Comparison with Measurements. Boundary-Layer Meteorology, DOI: 10.1007/s10546-013-9823-0, 148, 333–356.
  • Liu, S., Y. Shao, C. Yang, Z. Lin, M. Li, 2012: Improved regional hydrologic modelling by assimilation of streamflow data into a regional hydrologic model. Environmental Modelling and Software, DOI: 10.1016/j.envsoft.2011.12.005, 31, 141–149.
  • Yang, C., Z. Yu, Z. Hao, Z. Lin, S. Liu, 2009: Evaluation of Hydrological Responses to Land Use Change at Large Scale. In: International conference on environmental science and information application technology, ESIAT 2009, proceedings, 336-339. DOI: 10.1109/ESIAT.2009.195.
  • Liu Shaofeng, Lin Zhaohui, Jiang Xing, and Zeng Ning, 2009: The IAP Coupled Atmosphere-Vegetation Model and Its Numerical Simulation. Climatic and Environmental Research, 14(3), 258–272. (in Chinese)
  • Liu Shaofeng, Chen Hong, and Lin Zhaohui, 2008: Numerical simulation of the impact of sea surface temperature anomalies on the climate anomalies over China in January 2008. Climatic and Environmental Research, 13(4), 500–509. (in Chinese)
  • Yang Chuanguo, Zhongbo Yu, Zhenchun Hao, Zhaohui Lin, Shaofeng Liu, 2009. Evaluation of hydrological responses to land use change at large scale. In: International conference on environmental science and information application technology, ESIAT 2009 proceedings, 336-339, doi: 10.1109/ESIAT.2009.195.
  • Lin Zhaohui, Liu Huizhi, Xie Zhenghui, Wang Aihui, Liu Shaofeng, 2008: Recent Progress in the Land-Surface and Hydrological Process Studies, Chinese Journal of Atmospheric Sciences, 32(4), 935–949. (in Chinese)
  • Liu Shaofeng, Lin Zhaohui, 2005：Validation of Common Land Model Using Field Experiment Data over Typical Land Cover Types in East Asia. Climatic and Environmental Research, 10(3), 684–699. (in Chinese)