袁华

中山大学大气科学学院 副教授



电子邮件
yuanh25@mail.sysu.edu.cn

袁华，副教授、硕士生导师
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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: yuanh25@mail.sysu.edu.cn

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研究方向：
陆面过程模式；植被与城市建模；植被、城市与气候
欢迎对陆面植被、城市及气候感兴趣的同学报考！

基于植物群落陆面过程建模示意图
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三维城市冠层模型示意图
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教育经历：
2010/10–2013/03, 美国德州大学奥斯汀分校，访问****
2007/09–2013/07, 北京师范大学，地理学与遥感科学学院，博士
2001/09–2005/07, 北京师范大学，计算机科学与技术学院，学士
工作经历：
2016/09 -? 今 ,? 中山大学大气科学学院，副教授
2013/08 - 2016/09, 北京师范大学全球变化与地球系统科学研究院，讲师
讲授课程：
《陆面过程模拟》
《地球系统科学概论》
《大气科学软件基础与应用》
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科研项目:
国家自然科学基金面上项目：基于植物群落的陆面过程建模，2021.1-2024.12，项目负责人
国家重点研发计划：高分辨率全球陆面过程模式研发与应用, 2017.7-2022.6，骨干成员
国家自然科学基金重点项目：高分辨率陆面水文过程模式研制，2018.1-2022.12，骨干成员
国家自然科学基金青年基金：三维植被辐射传输模型的研制及其在陆面模式中的应用，2015.1-2017.12，项目负责人
中国博士后科学基金面上一等资助：陆面模式中地表反照率参数化方案的改进，2014.9-2016.8 ，项目负责人
公益性行业（气象）科研专项经费：GRAPES陆面数据同化系统建设，2012.1-2014.12，参与人
公益性行业（气象）科研专项经费：陆地表面过程模型及其参数化方案研究，2007.7-2009.11，参与人
国家科技支撑计划：京津冀业务预报模式中城市复杂下垫面和边界层物理方案的研发，2009.1-2012.12，参与人
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代表性论文:
Dai, Y., H. Yuan*, Q. Xin, D. Wang, W. Shangguan, S. Zhang, S. Liu, and N. Wei, 2019: Different representations of canopy structure—A large source of uncertainty in global land surface modeling. Agricultural and Forest Meteorology, 269–270, 119–135, https://doi.org/10.1016/j.agrformet.2019.02.006.
Yuan, H., Y. Dai, Z. Xiao, D. Ji, and W. Shangguan, 2011: Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling. Remote Sensing of Environment, 115, 1171–1187, https://doi.org/10.1016/j.rse.2011.01.001.
Yuan, H.*, R. E. Dickinson, Y. Dai, M. J. Shaikh, L. Zhou, W. Shangguan, and D. Ji, 2014: A 3D canopy radiative transfer model for global climate modeling: Description, validation, and application. Journal of Climate, 27, 1168–1192, https://doi.org/10.1175/JCLI-D-13-00155.1.
Yuan, H., Y. Dai, R. E. Dickinson, B. Pinty, W. Shangguan, S. Zhang, L. Wang, and S. Zhu, 2017: Reexamination and further development of two-stream canopy radiative transfer models for global land modeling. Journal of Advances in Modeling Earth Systems, 9, 113–129, https://doi.org/10.1002/2016MS000773.
Yuan, H., Y. Dai, R. E. Dickinson, S. Zhang, W. Shangguan, S. Liu, X. Lu, and N. Wei, 2020: Towards a new sub-grid structure of vegetation canopies in land surface modeling. 100th American Meteorological Society Annual Meeting, AMS.
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成果列表:
2021:
Menard, C. B., and Coauthors, 2021: Scientific and Human Errors in a Snow Model Intercomparison. Bulletin of the American Meteorological Society, 102, E61–E79, https://doi.org/10.1175/BAMS-D-19-0329.1.
2020:
Essery, R., and Coauthors, 2020: Snow cover duration trends observed at sites and predicted by multiple models. The Cryosphere, 14, 4687–4698, https://doi.org/10.5194/tc-14-4687-2020.
Li, L., and Coauthors, 2020: A causal inference model based on random forests to identify the effect of soil moisture on precipitation. J. Hydrometeor., 21, 1115–1131, https://doi.org/10.1175/JHM-D-19-0209.1.
Niu, G.-Y., Y.-H. Fang, L.-L. Chang, J. Jin, H. Yuan, and X. Zeng, 2020: Enhancing the Noah-MP Ecosystem Response to Droughts With an Explicit Representation of Plant Water Storage Supplied by Dynamic Root Water Uptake. Journal of Advances in Modeling Earth Systems, 12, e2020MS002062, https://doi.org/10.1029/2020MS002062.
Xin, Q., X. Zhou, N. Wei, H. Yuan, Z. Ao, and Y. Dai, 2020: A Semiprognostic Phenology Model for Simulating Multidecadal Dynamics of Global Vegetation Leaf Area Index. Journal of Advances in Modeling Earth Systems, 12, e2019MS001935, https://doi.org/10.1029/2019MS001935.
Yuan, H., Y. Dai, R. E. Dickinson, S. Zhang, W. Shangguan, S. Liu, X. Lu, and N. Wei, 2020a: Towards a new sub-grid structure of vegetation canopies in land surface modeling. 100th American Meteorological Society Annual Meeting, AMS.
——, ——, and S. Li, 2020b: Reprocessed MODIS Version 6 Leaf Area Index data sets for land surface and climate modelling. Sun Yat-sun University.
2019:
Dai, Y., and Coauthors, 2019a: A global high-resolution data set of soil hydraulic and thermal properties for land surface modeling. Journal of Advances in Modeling Earth Systems, 11, 2996–3023, https://doi.org/10.1029/2019MS001784.
——, and Coauthors, 2019b: 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.
——, N. Wei, H. Yuan, S. Zhang, W. Shangguan, S. Liu, X. Lu, and Y. Xin, 2019c: Evaluation of soil thermal conductivity schemes for use in land surface modeling. Journal of Advances in Modeling Earth Systems, 11, 3454–3473, https://doi.org/10.1029/2019MS001723.
——, H. Yuan, Q. Xin, D. Wang, W. Shangguan, S. Zhang, S. Liu, and N. Wei, 2019d: Different representations of canopy structure—A large source of uncertainty in global land surface modeling. Agricultural and Forest Meteorology, 269–270, 119–135, https://doi.org/10.1016/j.agrformet.2019.02.006.
——, S. Zhang, H. Yuan, and N. Wei, 2019e: Modeling variably saturated flow in stratified soils with explicit tracking of wetting front and water table locations. Water Resources Research, 55, 7939–7963, https://doi.org/10.1029/2019WR025368.
Pan, J., W. Shangguan, L. Li, H. Yuan, S. Zhang, X. Lu, N. Wei, and Y. Dai, 2019: Using data-driven methods to explore the predictability of surface soil moisture with FLUXNET site data. Hydrological Processes, 33, 2978–2996, https://doi.org/10.1002/hyp.13540.
2018:
Krinner, G., and Coauthors, 2018: ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks. Geoscientific Model Development, 11, 5027–5049, https://doi.org/10.5194/gmd-11-5027-2018.
戴永久, 魏楠, 黄安宁, 朱司光, 上官微, 袁华, 张树鹏, and 刘少锋, 2018: 通用陆面模式 (CoLM) 湖泊过程方案与性能评估. 科学通报, 63, 3002.
2017:
Shangguan, W., T. Hengl, J. Mendes de Jesus, H. Yuan, and Y. Dai, 2017: Mapping the global depth to bedrock for land surface modeling. Journal of Advances in Modeling Earth Systems, 9, 65–88, https://doi.org/10.1002/2016MS000686.
Yuan, H., Y. Dai, R. E. Dickinson, B. Pinty, W. Shangguan, S. Zhang, L. Wang, and S. Zhu, 2017: Reexamination and further development of two-stream canopy radiative transfer models for global land modeling. Journal of Advances in Modeling Earth Systems, 9, 113–129, https://doi.org/10.1002/2016MS000773.
Zhang, X., and Coauthors, 2017: Evaluating common land model energy fluxes using FLUXNET data. Advances in Atmospheric Sciences, 34, 1035–1046.
Zhu, S., and Coauthors, 2017: Incorporating root hydraulic redistribution and compensatory water uptake in the Common Land Model: Effects on site level and global land modeling. Journal of Geophysical Research: Atmospheres, 122, 2016JD025744, https://doi.org/10.1002/2016JD025744.
2016以前:
Shangguan, W., Y. Dai, B. Liu, A. Ye, and H. Yuan, 2012: A soil particle-size distribution dataset for regional land and climate modelling in China. Geoderma, 171–172, 85–91, https://doi.org/10.1016/j.geoderma.2011.01.013.
——, and Coauthors, 2013: A China data set of soil properties for land surface modeling. Journal of Advances in Modeling Earth Systems, 5, 212–224, https://doi.org/10.1002/jame.20026.
——, Y. Dai, Q. Duan, B. Liu, and H. Yuan, 2014a: A global soil data set for earth system modeling. Journal of Advances in Modeling Earth Systems, 6, 249–263, https://doi.org/10.1002/2013MS000293.
——, Y. Dai, C. García-Gutiérrez, and H. Yuan, 2014b: Particle-size distribution models for the conversion of Chinese data to FAO/USDA system. The Scientific World Journal, 2014, e109310, https://doi.org/10.1155/2014/109310.
Widlowski, J.-L., and Coauthors, 2011: RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models. J. Geophys. Res., 116, G02019, https://doi.org/10.1029/2010JG001511.
Yuan, H., Y. Dai, Z. Xiao, D. Ji, and W. Shangguan, 2011: Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling. Remote Sensing of Environment, 115, 1171–1187, https://doi.org/10.1016/j.rse.2011.01.001.
——, R. E. Dickinson, Y. Dai, M. J. Shaikh, L. Zhou, W. Shangguan, and D. Ji, 2014: A 3D canopy radiative transfer model for global climate modeling: Description, validation, and application. Journal of Climate, 27, 1168–1192, https://doi.org/10.1175/JCLI-D-13-00155.1.
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(更新日期：2021年2月)
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