个人简介:

3499cc拉斯维加斯“百人计划”副教授、博士生导师,美国德克萨斯大学奥斯汀分校博士,普林斯顿大学和伯克利实验室博士后,曾在美国国家环境预报中心和国家大气研究中心等多个著名科研机构从事合作研究。研究方向包括水文过程模拟、水环境与生态、机器学习等,长期从事水文模型和陆面模式的开发、评估和应用。主持包括国家自然科学基金面上项目、国家重点研发计划项目子课题、广东省自然科学基金面上项目在内的多项科研项目。在国内外主要学术期刊发表论文40篇,总引用1668(谷歌学术)。担任《Journal of Geophysical Research-Atmospheres、《Water Resources Research》、Nature Geoscience》等30个期刊审稿人。

工作经历:

3499cc拉斯维加斯副教授2020-至今
美国劳伦斯伯克利国家实验室博士后/项目科学家2016-2020
美国普林斯顿大学博士后2015-2016

教育经历:

美国德克萨斯大学奥斯汀分校,地质科学博士,2015
北京师范大学,水文学及水资源硕士,2009
武汉大学,农业水利工程学士,2005

讲授课程:

本科生:《水文学原理》、《水文水利计算》、《水资源开发利用》、《水环境保护》
研究生:《大数据方法工程应用》、《水资源系统分析与规划》、《高级水文学》

 

近期主要论文:

  1. Cai, X., Cao, Y., Zhang, G., Liang, J., Zheng, H., Li, K., Zeng, Z., Dai, Y., & Yang, Z.-L. (2024). Influence of terrestrial nitrogen dynamics on mesoscale near-surface meteorological fields. Journal of Geophysical Research: Atmospheres, 129(14).
  2. Yang, X. R., Jiang, X., Liang, S. J., ...,  Cai, X. et al. (2024). Spatiotemporal variation of power law exponent on the use of wind energy. Applied Energy, 356.
  3. Wang, F., Li, Y., Li, Z., Cai, X., Lin, X., Guo, L., et al. (2024). Enhancing Winter Wheat Representation in Noah-MP-Crop for Improved Dynamic Crop Growth Simulation in the North China Plain. Journal of Geophysical Research-Biogeosciences, 129(8).
  4. Cao, X., Zhang, G., Chen, Y., Li, H., Li, J., Di, Y., & Cai, X. (2024). Optimization of snow-related processes in Noah-MP land surface model over the mid-latitudes of Asian region. Atmospheric Research, 311, 107711.
  5. Cai, X., Li, L., Fisher, J. B., Zeng, Z., Zhou, S., Tan, X., Liu, B., & Chen, X. (2023). The responses of ecosystem water use efficiency to CO2, nitrogen deposition, and climatic drivers across China. Journal of Hydrology, 622, 129696.
  6. Zhang, G., Li, H., Li, J., Meng, C., & Cai, X. (2023). Non‐Radiative Effect of Land Use/Land Cover Differences on Land Surface Temperature Simulated by Noah‐MP Land Surface Model Over East Asia. Journal of Geophysical Research: Atmospheres, 128(16).
  7. Huang, H., Feng, G., Cao, Y., Feng, G., Dai, Z., Tian, P., Wei, J., & Cai, X. (2023). Simulation and Driving Factor Analysis of Satellite-Observed Terrestrial Water Storage Anomaly in the Pearl River Basin Using Deep Learning.Remote Sensing, 15(16).
  8. Tian, P., Jian, B., Li, J., Cai, X., Wei, J., & Zhang, G. (2023). Land-Use-Change-Induced Cooling and Precipitation Reduction in China: Insights from CMIP6 Models. Sustainability, 15(16).
  9. Wang, Q., Cai, X., Tang, J., Yang, L., Wang, J., & Xu, Y. (2023). Climate feedbacks associated with land-use and land-cover change on hydrological extremes over the Yangtze River Delta region, China. Journal of Hydrology, 622, 129855.
  10. Li, L., Zeng, Z., Zhang, G., Duan, K., Liu, B., & Cai, X. (2022). Exploring the individualized effect of climatic drivers on MODIS net primary productivity through an explainable machine learning frameworkRemote Sensing, 14(17), 4401. 
  11. Zeng, Z., D. Wang, L. Yang, ..., X. Cai, et al. (2021). Deforestation-induced warming over tropical mountain regions regulated by elevationNature Geoscience, 14(1), 23–29.
  12. Liang, J., Yang, Z.-L., Cai, X., Lin, P., Zheng, H., & Bian, Q. (2020). Modeling the impacts of nitrogen dynamics on regional terrestrial carbon and water cycles over China with Noah-MP-CNAdvances in Atmospheric Sciences, 37(7), 679–695.
  13. Wu, G., Cai, X., Keenan, T. F., Li, S., Luo, X., Fisher, J. B., et al. (2020). Evaluating three evapotranspiration estimates from model of different complexity over China using the ILAMB benchmarking systemJournal of Hydrology, 590.
  14. Cai, X., Riley, W. J., Zhu, Q., Tang, J., Zeng, Z., Bisht, G., & Randerson, J. T. (2019). Improving representation of deforestation effects on evapotranspiration in the E3SM land modelJournal of Advances in Modeling Earth Systems, 11(8), 2412-2427.
  15. Cai, X., M. Pan, N.W. Chaney, A. Colliander, S. Misra, M.H. Cosh, W.T. Crow, T.J. Jackson and E.F. Wood (2017): Validation of SMAP soil moisture for the SMAPVEX15 field campaign using a hyper-resolution modelWater Resources Research, 53(4): 3013–3028.
  16. Clark, M. P., Bierkens, M. F. P., Samaniego, L., Woods, R. A., Uijlenhoet, R., Bennett, K. E., Pauwels, V. R. N., Cai, X., et al. (2017). The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realismHydrology and Earth System Sciences, 21(7), 3427-3440.
  17. Cai, X., Z.L. Yang, J.B. Fisher, X. Zhang, M. Barlage and F. Chen, 2016: Integration of nitrogen dynamics into the Noah-MP land surface model v1.1 for climate and environmental predictionsGeoscientific Model Development, 9(1): 1-15.
  18. Pan, M., Cai, X., Chaney, N. W., Entekhabi, D., & Wood, E. F. (2016). An initial assessment of SMAP soil moisture retrievals using high-resolution model simulations and in situ observationsGeophysical Research Letters, 43(18), 9662-9668.
  19. Cai, X. et al., 2014: Assessment of simulated water balance from Noah, Noah-MP, CLM, and VIC over CONUS using the NLDAS test bedJournal of Geophysical Research: Atmospheres, 119(24): 13751-13770.
  20. Cai, X., Z.-L. Yang, C.H. David, G.-Y. Niu and M. Rodell, 2014: Hydrological evaluation of the Noah-MP land surface model for the Mississippi River BasinJournal of Geophysical Research: Atmospheres, 119(1): 23-38.

查看全部论文:Google Scholar | ResearchGate

 

科研项目:

  1. 国家自然科学基金委员会,面上项目,区域气候模式的陆地氮循环模式研制,20242027,在研,主持
  2. 科学技术部,国家重点研发计划项目,“共享开放、自主可控的区域地球系统模式多元耦合及人类活动影响的反馈与预估”,2023–2028,在研,子课题负责人
  3. 广东省基础与应用基础研究基金委员会,广东省自然科学基金-面上项目,珠江流域氮负荷模拟及预测研究,2022–2024,在研,主持
  4. 中国气象科学研究院,技术服务,优化Noah-MP陆面模式与氮模块的耦合,2021.2–2021.12,结题,主持
  5. 3499cc拉斯维加斯,百人计划人才启动项目,2020–2023,结题,主持
  6. 广东省基础与应用基础研究基金委员会,广东近海可利用风能时空演变机理及预估技术研究,海上风电联合基金-面上项目,2022–2025,在研,参与

 

学术兼职:

  • 美国地球物理联合会(AGU)会员
  • 美国气象学会(AMS)会员
  • 欧洲地球科学联合会(EGU)会员
  • Journal of Meteorological Research》客座编辑(“Development and Applications of Regional and Global Land Data Assimilation Systems (LDAS)专刊)
  • Climatic Change》、《Geoscientific Model Development》、《Journal of Advances in Modeling Earth Systems》、《Journal of Climate》、《Journal of Geophysical Research-Atmospheres》、《Journal of Hydrology》、《Journal of Hydrometeorology》、《Journal of Meteorological Research》、《Nature Geoscience》、《Water Resources Research》等期刊审稿人

 

指导学生情况:

研究生

在读:赵紫春、黄海俊、吴晓露
毕业:李卢仪

大创项目

2021年至今已经指导大创项目9组,合计31人次,其中1组获国家级立项和3组优秀结题,指导项目数和学生人数居学院前列。项目内容主要是运用机器学习和水文模型进行水文过程模拟和分析,依托项目发表了多篇以学生为第一作者的SCI论文。欢迎感兴趣的本科生联系!

竞赛

  • 智慧生态农田系统,第七届全国大学生水利创新设计大赛三等奖,2021

 

招生寄语:

在中大,我们拥抱科技浪潮,致力于培养能够运用精细化水文模拟、大数据和人工智能等最新技术进行水资源管理与环境预测的创新人才。加入我们,成为水利领域的先锋,用科技的力量守护绿水青山,为实现可持续发展贡献智慧和热情。

【博士后/专职研究员】热忱欢迎近期毕业的博士加盟本课题组开展合作研究。3499cc拉斯维加斯为博士后和专职研究员提供具有竞争力的待遇和福利。

【研究生】热忱欢迎对水文模型、水环境与生态、全球变化、机器学习等方向感兴趣的学生报考本课题组研究生。课题组将为研究生提供优越的学习、科研和生活条件。