基本情况（Profile）:

刘少锋，理学博士，教授、博士生导师，中山大学“百人计划”青年杰出人才，全新一代通用陆面模式CoLM2024开发团队核心成员。长期专注于地球系统陆面模式和陆气相互作用建模前沿领域，在陆气耦合理论与方法、湍流交换基本理论与参数化、城市/自然复杂地形环境模拟等方面进行了系统性研究，取得了一系列创新性成果。研究成果应用于国家大装置地球系统模式和国家气象局数值天气预报模式，获美国科学促进会EurekAlert、Phys.org、ScienMag等国际著名科技媒体跟踪报道。系列代表性成果发表在GRL、JAMES、AAS、JGR等一流专业期刊，主持多个国家级项目，作为核心骨干参与重点研发等多个国家重大项目。

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Shaofeng Liu, Ph.D. in Science, Professor and Distinguished Young Scholar of the "Hundred Talents Program" at Sun Yat-sen University, core member of the development team for the new-generation land surface model CoLM2024. He has long been dedicated to cutting-edge research in land surface modeling and land-atmosphere interaction within Earth system science. His work focuses on systematic investigations in fundamental theories and parameterization of turbulent exchanges, simulation of urban and natural complex terrain environments, and theories and methods of land-atmosphere coupling, achieving a series of innovative outcomes. His research findings have been applied to the national Earth system model for major scientific installations and the numerical weather prediction model of the China Meteorological Administration, and have been tracked and reported by internationally renowned scientific media such as the American Association for the Advancement of Science's EurekAlert, Phys.org, and ScienMag. His representative works have been published in top-tier professional journals including GRL, JAMES, AAS, and JGR. He has led multiple NSFD projects and served as a core contributor to several key national major initiatives.

 

联系方式:

通讯地址（Office Address）: 

广东省珠海市唐家湾中山大学海琴2号 大气科学学院

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Room A542, No. 2 Haiqin Building, Sun Yat-sen University, Tangjiawan, Zhuhai, Guangdong, China

Email: liushaof5@mail.sysu.edu.cn

 

招生招聘:

只有求真务实、寻根溯源，才能不断突破、自主创新。欢迎有志青年加入！

 

教育经历（Education Background）：

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

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2002.09 – 2008.03：Ph.D., Meteorology, Institute of Atmospheric Sciences, Chinese Academy of Sciences, China

1998.09 – 2002.06：Bachelor, Meteorology, Nanjing University of Information Science & Technology (former Nanjing Institute of Meteorology), China

 

工作经历（Research Background）：

2026.01 - 今：          中山大学大气科学学院，教授

2017.05 – 2025.12：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

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2026.01 – present： Professor, School of Atmospheric Sciences, Sun Yat-Sen University

2017.05 – 2025.12：Associate Professor, School of Atmospheric Sciences, Sun Yat-Sen University

2011.03 – 2017.03：Research scientist, Institute of Geophysics and Meteorology, University of Cologne, Germany

2010.07 – 2011.02：Visiting scientist, Institute of Geophysics and Meteorology, University of Cologne, Germany

2007.12 – 2011.09：Assistant Researcher, Institute of Atmospheric Sciences, Chinese Academy of Sciences, China

 

讲授课程（Teaching）：

流体力学（本科专业课），大学物理实验（本科基础课）

地球系统模式中的数学物理问题（研究生专业课）

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Fluid Mechanics, College Physics Experiment

 

研究领域（Research）:

陆面过程、陆面-大气相互作用、城市/自然环境模拟、湍流边界层观测与模拟

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Land surface processes, Land-atmosphere interaction, City/natural environment modelling, Boundary layer turbulence

 

 

科研项目（Grants）:

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（Publications）:

  • Liu, S., Shi, Q., Li, L., Yuan, H., Wei, Z., Wei, N., Lu, X., Zhang, S., Li, X.-X., and Dai, Y., 2025: Heterogeneity Impacts Urban Roughness for Earth System Modeling. Geophysical Research Letters, https://doi.org/10.1029/2025GL116015.
  • Wang, Y., Xu, H., Xu, X., Liu, S., Zhang, C., and Huo, Y., 2025: Evaluating Scale-Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large-Eddy Simulations. Geophysical Research Letters, https://doi.org/10.1029/2024GL113337.
  • 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/cover story)
  • Huang, H., Li, L., Shi, Q., and Liu, S.*, 2025: Impact of Large Eddies on Flux-Gradient Relations in the Unstable Surface Layer Based on Measurements over the Tibetan Plateau. Atmosphere, 16(4), 391. https://doi.org/10.3390/atmos16040391
  • Huang, H., Li, L., Shi, Q., and Liu, S.*, 2025: Evaluation of Large Eddy Effects on Land Surface Modeling Based on the FLUXNET dataset. Atmosphere, 16, 328. https://doi.org/10.3390/atmos16030328
  • 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)