个人简介

魏忠旺博士，教授，博导，毕业于日本东京大学，现任职于中山大学大气科学学院。曾在美国耶鲁大学，日本东京大学和瑞士苏黎世联邦理工学院从事陆面水文过程的观测、模拟及其相关地表过程耦合机制的研究，共发表高水平SCI学术论文90余篇。开发了基于叶面积指数的蒸散发拆分模型，构建了全球蒸散发及其各组分的数据集；利用稳定水同位素信息，成功再现了水分在“土壤-植物-大气”界面的输送和循环过程。在陆面模式开发方面提出了多个陆面模式参数化方案，有效提升了陆面模式对全球陆表植被复杂区域水文过程的精细刻画能力和高效模拟能力。我们致力于深化全球地表水循环动力学的多尺度认知，通过融合人工智能，数值模拟与同位素示踪技术，系统揭示地球表层水循环的关键过程与调控机制。

联系方式

Email: zhongwang007@gmail.com ；weizhw6@mail.sysu.edu.cn

网站: https://weilab.xyz/

地址：广东省珠海市唐家湾中山大学珠海校区海琴2号楼A538，邮编：519082

教育经历

2013 ~ 2016     日本东京大学，大气海洋研究所,  理学博士

2011 ~ 2013     日本筑波大学，地球科学专攻，理学硕士

2003 ~ 2007     中国人民解放军后勤工程学院， 石油储运工程，工学学士

工作经历

202503 ~                    中山大学,教授;  日本东京大学，客座研究员

201909 ~ 202503       中山大学，百人计划引进副教授;  兼任日本东京大学，协力研究员

201906 ~ 201912       苏黎世联邦理工大学，助理科学家

201804 ~ 201905       日本东京大学，项目研究员

201604 ~ 201803       美国耶鲁大学，博士后研究员

奖励情况

2024 ~ 2025     大气科学学院 “魅力教师” 荣誉称号

2022 ~ 2025     广东省珠江人才计划青年拔尖人才

2023 ~ 2024     大气科学学院 “大气人物” 荣誉称号

2023 ~ 2024     大气科学学院 “魅力教师” 荣誉称号

2022 ~ 2023     大气科学学院 “魅力教师” 荣誉称号

2015 ~ 2016      Graduate School of Frontier Sciences Academic Research fund for outstanding students, University of Tokyo

2014 ~ 2015      Uchida Ocean foundation, the internal fund for outstanding students' travel abroad from the Atmosphere and Ocean Research Institute, University of Tokyo.

2014 ~ 2015      Academic Research Grant for GSFS Doctor Course Students from University of Tokyo

2011 ~ 2015      Monbukagakusho JASSO Honors Scholarship from Japan Government

科研项目

  1. 陆面过程模式基准评估系统的研制，2025-2028，国家级，国家自然科学基金项目，主持
  2. 陆面模式COLM 冠层截留参数化方案的研制，2024-，省部级，广东省自然科学基金，主持
  3. 基于非结构网格的三维陆面水文模式研制，2020-2024，国家级，国家自然科学基金项目，主持
  4. 气候变化对东北地区农业格局的影响，2020，省部级，横向项目，主持
  5. CoLM冠层截留参数化方案的研制，2023-，校级，高校基本科研业务费-青年教师培育项目，主持
  6. 地球系统模式，2021-2024，省部级，广东省实验室项目，参与
  7. 陆面过程模式分系统软件开发，2020，中国科学院计算机网络信息中心项目，参与
  8. CoLM在天气气候一体化应用的关键技术和植被水力模式研究，2024-，其他，中国气象局地球系统数值预报中心项目，参与
  9. 天气气候一体化陆面模式，2023-，其他，中国气象科学研究院项目，参与
  10. WRF模式耦合CoLM陆面模式技术研发及测试分析，2023-，其他，中国气象局沈阳大气环境研究所项目，参与
  11. 天气气候一体化模式中陆面分量模式的发展与改进，2023-，其他，中国气象局地球系统数值预报中心项目，参与
  12. 高分辨率陆面环境模拟与预测研究，2022- ，省部级，广东省科技计划项目，参与

研究内容

  • 陆面过程模拟： 我们探索陆地、大气和水之间的复杂相互作用。通过精密的数值模拟，我们研究蒸散发、渗透和径流等过程，旨在理解陆面特征如何影响水循环和气候动力学。
  • 海岸带水动力学： 我们利用最先进的水动力模型，模拟控制海岸带环境的物理过程。我们的研究捕捉潮汐、洋流和波浪的相互作用，努力理解海岸带系统的复杂性，并预测它们对各种自然和人为因素（包括海平面上升和风暴潮）的响应。
  • 同位素水文学： 我们利用稳定同位素作为环境示踪剂，揭示水的运动和转化规律。通过同位素分析，我们追踪不同生态系统中水的来源、路径和变化，从而阐明水文过程、生物地球化学循环和古气候条件。
  • 大涡模拟（LES）建模： 我们开发并应用同位素LES模型，在同位素信息的加持下研究精细尺度的大气和水文过程，从而弥合微观湍流和更大规模水循环动力学之间的差距。
  • 人工智能在陆面过程中的应用： 我们探索人工智能（AI）在陆面过程模拟中的应用。通过开发和应用AI模型，我们旨在提高陆面过程模拟的准确性和效率，例如机器学习生成基础数据集，符号回归改进参数化方案、优化模型结构、以及进行数据驱动的预测等。

投稿中论文

  1. Zhang, Y., Huang, F., Lu, X., Shangguan, W., Shi, G., Zhang, Y., ... & Dai, Y. (2024). Projections of Soil Organic Carbon in China: The Role of Carbon Fluxes Revealed by Explainable Artificial Intelligence. Authorea Preprints.
  2. Li, Q., Xiao, Q., Li, L., Zhang, C., Zhu, J., Chen, X., Wang, J., Shangguan, W., Wei, Z., Dong, W., & Dai, Y. (2024). A novel diversity-aware sampling method for global soil moisture prediction. Journal of Hydrology. Manuscript submitted.
  3. Wei, Z., Xu, Q., Bai, F., Xu, X., Wei, Z., Dong, W., ... & Dai, Y. (2025). OpenBench: a land models evaluation system. EGUsphere, 2025, 1-37.

代表性期刊论文（2015 ~ 2025，*代表通讯作者）

  1. Xu, Q., Li, L., Wei, Z.*, Lu, X., Wei, N., Lee, X., & Dai, Y. (2025). A multimodal machine learning fused global 0.1° daily evapotranspiration dataset from 1950-2022. Agricultural and Forest Meteorology, 372, 110645.
  2. Fang, B., Li, D., & Wei, Z.* (2025). Systemic Inflammation as a Moderator of Air Pollution-Associated Self-Reported Health in Middle-aged and Older Chinese Adults: Evidence from a Nationwide Study. The Journals of Gerontology: Series A, glaf117.
  3. Dong, W., Yuan, H., Lin, W., Liu, Z., Xiang, J., Wei, Z., ... & Dai, Y. (2025). A global urban tree leaf area index dataset for urban climate modeling. Scientific Data, 12(1), 426.
  4. Li, Q., Jin, X., Zhang, C., Shangguan, W., Wei, Z., Li, L., ... & Dai, Y. (2025). Improving global soil moisture prediction based on Meta-Learning model leveraging Köppen-Geiger climate classification. CATENA, 250, 108743.
  5. Yang, C., Jia, Z., Xu, W., Wei, Z., Zhang, X., Zou, Y., ... & Maxwell, R. (2025). CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China. Hydrology and Earth System Sciences, 29(9), 2201-2218.
  6. Liu, S., Zeng, X., Dai, Y., Yuan, H., Wei, N., Wei, Z., ... & Brunke, M. A. (2025). Optimal Coupling Height of the Atmosphere and Land Surface—An Earth System Modeling Perspective. Advances in Atmospheric Sciences, 42(3), 417-426.
  7. Shi, G., Sun, W., Shangguan, W., Wei, Z., Yuan, H., Li, L., ... & Dai, Y. (2025). A China dataset of soil properties for land surface modelling (version 2, CSDLv2). Earth System Science Data, 17(2), 517-543.
  8. Shi, J., Yuan, H., Lin, W., Dong, W., Liang, H., Liu, Z., ..., Wei, Z., ... & Dai, Y. (2025). A flux tower site attribute dataset intended for land surface modeling. Earth System Science Data, 17(1), 117-134.
  9. Li, Q., Zhang, C., Wei, Z.*, Jin, X., Shangguan, W., Yuan, H., ... & Dai, Y. (2024). Advancing symbolic regression for earth science with a focus on evapotranspiration modeling. npj Climate and Atmospheric Science, 7(1), 321.
  10. Bai, F., Wei, Z.*, Wei, N., Lu, X., Yuan, H., Zhang, S., ... & Dai, Y. (2024). Global assessment of atmospheric forcing uncertainties in the Common Land Model 2024 simulations. Journal of Geophysical Research: Atmospheres, 129(23), e2024JD041520.
  11. Chen, S., Li, L., Wei, Z., Wei, N., Zhang, Y., Zhang, S., ... & Dai, Y. (2024). Exploring Topography Downscaling Methods for Hyper‐Resolution Land Surface Modeling. Journal of Geophysical Research: Atmospheres, 129(20), e2024JD041338.
  12. Peng, L., Sheffield, J., Wei, Z., Ek, M., & Wood, E. F. (2024). An enhanced Standardized Precipitation–Evapotranspiration Index (SPEI) drought-monitoring method integrating land surface characteristics. Earth System Dynamics, 15(5), 1277-1300.
  13. Cai, Y., Xu, Q., Bai, F., Cao, X., Wei, Z.*, Lu, X., ... & Dai, Y. (2024). Reconciling global terrestrial evapotranspiration estimates from multi‐product intercomparison and evaluation. Water Resources Research, 60(9), e2024WR037608.
  14. Li, Q., Xiao, Q., Zhang, C., Zhu, J., Chen, X., Yan, Y., ..., Wei, Z., ... & Dai, Y. (2024). Improving global soil moisture prediction through cluster-averaged sampling strategy. Geoderma, 449, 116999.
  15. Wang, S., Qian, Y., Yoshimura, K., Bong, H., Risi, C., Wei, Z., ... & Zhang, M. (2024). Skill of isotope-enabled climate models for daily surface water vapour in East Asia. Global and Planetary Change, 239, 104502.
  16. Jiang, S., & Wei, Z. (2024). Urbanization exacerbated the rapid growth of summer cooling demands in China from 1980 to 2023. Sustainable Cities and Society, 106, 105382.
  17. Cui, J., Ding, J., Lian, X., Wei, Z., Li, S., Peng, J., ... & Piao, S. (2024). Observational constraints and attribution of global plant transpiration changes over the past four decades. Geophysical Research Letters, 51(11), e2024GL108302.
  18. Yuan, Y., Wang, L., Wei, Z., Ajami, H., Wang, H., & Du, T. (2024). Using Median Point in Keeling Plot to Reduce the Uncertainty of the Isotopic Composition of Evapotranspiration. Journal of Hydrometeorology, 25(4), 637-649.
  19. Xu, Q., Liang, H., Wei, Z.*, Zhang, Y., Lu, X., Li, F., ... & Dai, Y. (2024). Assessing climate change impacts on crop yields and exploring adaptation strategies in Northeast China. Earth's Future, 12(4), e2023EF004063.
  20. Fan, H., Xu, Q., Bai, F., Wei, Z.*, Zhang, Y., Lu, X., ... & Dai, Y. (2024). An unstructured mesh generation tool for efficient high‐resolution representation of spatial heterogeneity in land surface models. Geophysical Research Letters, 51(6), e2023GL107059.
  21. Li, L., Dai, Y., Wei, Z., Shangguan, W., Wei, N., Zhang, Y., ... & Li, X. X. (2024). Enhancing deep learning soil moisture forecasting models by integrating physics-based models. Advances in Atmospheric Sciences, 1-16.
  22. Bong, H., Cauquoin, A., Okazaki, A., Chang, E. C., Werner, M., Wei, Z., ... & Yoshimura, K. (2024). Process‐Based Intercomparison of Water Isotope‐Enabled Models and Reanalysis Nudging Effects. Journal of Geophysical Research: Atmospheres, 129(1), e2023JD038719.
  23. Li, L., Dai, Y., Wei, Z., Shangguan, W., Zhang, Y., Wei, N., & Li, Q. (2024). Enforcing Water Balance in Multitask Deep Learning Models for Hydrological Forecasting. Journal of Hydrometeorology, 25(1), 89-103.
  24. Cui, J., He, M., Lian, X., Wei, Z., & Wang, T. (2023). Spatial pattern of plant transpiration over China constrained by observations. Geophysical Research Letters, 50(20), e2023GL105489.
  25. Liao, J., Hang, J., Luo, Q., Luo, H., Ma, T., Wei, Z., & Yuan, H. (2023). Seasonal variability of forest cooling and warming effects and response to drought in mid-to-high latitudes of the Northern Hemisphere. Forest Ecology and Management, 546, 121324.
  26. Liu, S., Zeng, X., Dai, Y., Yuan, H., Wei, N., Wei, Z., ... & Li, X. 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(8), e2022MS003567.
  27. Li, J., Zhang, S., Obulkasim, O., Lu, X., Wei, Z., Yuan, H., ... & Dai, Y. (2023). Impact of Reservoirs on Local Precipitation‐Temperature Coupling Relationships. Geophysical Research Letters, 50(14), e2023GL103453.
  28. Lin, W., Yuan, H., Dong, W., Zhang, S., Liu, S., Wei, N., Wei, Z., ... & Dai, Y. (2023). Reprocessed MODIS Version 6.1 Leaf Area Index Dataset and Its Evaluation for Land Surface and Climate Modeling. Remote Sensing, 15(7), 1780.
  29. Wang, D., Tian, L., Risi, C., Wang, X., Cui, J., Bowen, G. J., ..., Wei, Z., ... & Li, L. Z. (2023). Vehicle-based in situ observations of the water vapor isotopic composition across China: spatial and seasonal distributions and controls. Atmospheric Chemistry and Physics, 23(6), 3409-3433.
  30. Li, Q., Zhang, C., Shangguan, W., Wei, Z., Yuan, H., Zhu, J., ... & Dai, Y. (2024). LandBench 1.0: A benchmark dataset and evaluation metrics for data-driven land surface variables prediction. Expert Systems with Applications, 243, 122917.
  31. Liu, S., Zeng, X., Dai, Y., Yuan, H., Wei, N., Wei, Z., ... & Zhang, S. (2022). A Surface Flux Estimation Scheme Accounting for Large‐Eddy Effects for Land Surface Modeling. Geophysical Research Letters, 49(23), e2022GL101754.
  32. Zhang, S., Zhou, L., Zhang, L., Yang, Y., Wei, Z., Zhou, S., ... & Dai, Y. (2022). Reconciling disagreement on global river flood changes in a warming climate. Nature Climate Change, 12(12), 1160-1167.
  33. Liu, R., Liu, S., Huang, H., Dai, Y., Zeng, X., Yuan, H., ..., Wei, Z., ... & Wei, J. (2022). The effect of surface heating heterogeneity on boundary layer height and its dependence on background wind speed. Journal of Geophysical Research: Atmospheres, 127(19), e2022JD037168.
  34. Moiz, A., Wei, Z., Naseer, A., Kawasaki, A., Acierto, R. A., & Koike, T. (2022). Improving Snow‐Process Modeling by Evaluating Reanalysis Vertical Temperature Profiles Using a Distributed Hydrological Model. Journal of Geophysical Research: Atmospheres, 127(18), e2021JD036174.
  35. Liu, Z., Risi, C., Codron, F., Jian, Z., Wei, Z., He, X., ... & Bowen, G. J. (2022). Atmospheric forcing dominates winter Barents-Kara sea ice variability on interannual to decadal time scales. Proceedings of the National Academy of Sciences, 119(36), e2120770119.
  36. Liu, Y., Zhang, Y., Shan, N., Zhang, Z., & Wei, Z. (2022). Global assessment of partitioning transpiration from evapotranspiration based on satellite solar-induced chlorophyll fluorescence data. Journal of Hydrology, 612, 128044.
  37. Nan, Y., He, Z., Tian, F., Wei, Z., & Tian, L. (2022). Assessing the influence of water sampling strategy on the performance of tracer-aided hydrological modeling in a mountainous basin on the Tibetan Plateau. Hydrology and Earth System Sciences, 26(15), 4147-4167.
  38. Li, L., Dai, Y., Shangguan, W., Wei, Z., Wei, N., & Li, Q. (2022). Causality-structured deep learning for soil moisture predictions. Journal of Hydrometeorology, 23(8), 1315-1331.
  39. Xu, N., Ma, Y., Wei, Z., Huang, C., Li, G., Zheng, H., & Wang, X. H. (2022). Satellite observed recent rising water levels of global lakes and reservoirs. Environmental Research Letters, 17(7), 074013.
  40. Dong, Z., Hu, H., Wei, Z., Liu, Y., Xu, H., Yan, H., ... & Khan, M. Y. A. (2022). Estimating the actual evapotranspiration of different vegetation types based on root distribution functions. Frontiers in Earth Science, 10, 893388.
  41. Yan, H., Hu, H., Liu, Y., Tudaji, M., Yang, T., Wei, Z., ... & Chen, Z. (2022). Characterizing the groundwater storage–discharge relationship of small catchments in China. Hydrology Research, 53(5), 782-794.
  42. Huang, L., Zhang, S., Niu, G. Y., Wei, N., Yuan, H., Wei, Z., ... & Dai, Y. (2022). A catchment‐based hierarchical spatial tessellation approach to a better representation of land heterogeneity for hyper‐resolution land surface modeling. Water Resources Research, 58(5), e2021WR031589.
  43. Li, L., Dai, Y., Shangguan, W., Wei, N., Wei, Z., & Gupta, S. (2022). Multistep forecasting of soil moisture using spatiotemporal deep encoder–decoder networks. Journal of Hydrometeorology, 23(3), 337-350.
  44. Zeng, J., Li, J., Lu, X., Wei, Z., Shangguan, W., Zhang, S., ... & Zhang, S. (2022). Assessment of global meteorological, hydrological and agricultural drought under future warming based on CMIP6. Atmospheric and Oceanic Science Letters, 15(1), 100143.
  45. Liu, X., Lu, X., Zhang, S., Wei, Z., Wei, N., Zhang, S., ... & Dai, Y. (2022). Plant drought tolerance trait is the key parameter in improving the modeling of terrestrial transpiration in arid and semi-arid regions. Atmospheric and Oceanic Science Letters, 15(1), 100139.
  46. Wu, H., Fu, C., Zhang, C., Zhang, J., Wei, Z., & Zhang, X. (2022). Temporal variations of stable isotopes in precipitation from Yungui Plateau: Insights from moisture source and rainout effect. Journal of Hydrometeorology, 23(1), 39-51.
  47. Nan, Y., He, Z., Tian, F., Wei, Z., & Tian, L. (2021). Can we use precipitation isotope outputs of isotopic general circulation models to improve hydrological modeling in large mountainous catchments on the Tibetan Plateau?. Hydrology and Earth System Sciences, 25(12), 6151-6172.
  48. Lin, Y., Wang, D., Wang, G., Qiu, J., Long, K., Du, Y., ..., Wei, Z., ... & Dai, Y. (2021). A hybrid deep learning algorithm and its application to streamflow prediction. Journal of Hydrology, 601, 126636.
  49. Jiang, S., Du, J., & Wei, Z. (2021). Impacts of continuously increasing urbanization ratios on warming rates and temperature extremes observed over the Beijing area. Journal of Geophysical Research: Atmospheres, 126(11), e2021JD034536.
  50. Bonetti, S., Wei, Z., & Or, D. (2021). A framework for quantifying hydrologic effects of soil structure across scales. Communications Earth & Environment, 2(1), 107.
  51. Li, H., Lu, X., Wei, Z., Zhu, S., Wei, N., Zhang, S., ... & Dai, Y. (2021). New representation of plant hydraulics improves the estimates of transpiration in land surface model. Forests, 12(6), 722.
  52. He, X., Bryant, B. P., Moran, T., Mach, K. J., Wei, Z., & Freyberg, D. L. (2021). Climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge. Science Advances, 7(17), eabe6025.
  53. Peng, L., Wei, Z., Zeng, Z., Lin, P., Wood, E. F., & Sheffield, J. (2021). Reducing solar radiation forcing uncertainty and its impact on surface energy and water fluxes. Journal of Hydrometeorology, 22(4), 813-829.
  54. Liu, Z., Risi, C., Codron, F., He, X., Poulsen, C. J., Wei, Z., ... & Bowen, G. J. (2021). Acceleration of western Arctic sea ice loss linked to the Pacific North American pattern. Nature communications, 12(1), 1519.
  55. Zeng, Z., Wang, D., Yang, L., Wu, J., Ziegler, A. D., Liu, M., ..., Wei, Z., ... & Wood, E. F. (2021). Deforestation-induced warming over tropical mountain regions regulated by elevation. Nature Geoscience, 14(1), 23-29.
  56. Hu, Y., Xiao, W., Wei, Z., Welp, L. R., Wen, X., & Lee, X. (2021). Determining the isotopic composition of surface water vapor flux from high‐frequency observations using flux‐gradient and Keeling Plot methods. Earth and Space Science, 8(3), e2020EA001304.
  57. Wang, L., Tian, F., Wang, X., Yang, Y., & Wei, Z. (2020). Attribution of the land surface temperature response to land-use conversions from bare land. Global and Planetary Change, 193, 103268.
  58. Zhang, Y., Schaap, M. G., & Wei, Z. (2020). Development of hierarchical ensemble model and estimates of soil water retention with global coverage. Geophysical Research Letters, 47(15), e2020GL088819.
  59. Wei, Z.*, He, X., Zhang, Y., Pan, M., Sheffield, J., Peng, L., ... & Ikeuchi, K. (2020). Identification of uncertainty sources in quasi-global discharge and inundation simulations using satellite-based precipitation products. Journal of Hydrology, 589, 125180.
  60. Wang, L., Tian, F., Han, S., & Wei, Z. (2020). Determinants of the asymmetric parameter in the generalized complementary principle of evaporation. Water Resources Research, 56(9), e2019WR026570.
  61. Ma, W., Wei, Z., Wang, P., & Asanuma, J. (2020). Transpiration and evaporation of grassland using land surface modelling. Hydrological Processes, 34(17), 3656-3668.
  62. He, X., Pan, M., Wei, Z., Wood, E. F., & Sheffield, J. (2020). A global drought and flood catalogue from 1950 to 2016. Bulletin of the American Meteorological Society, 101(5), E508-E535.
  63. Lehmann, P., Bickel, S., Wei, Z., & Or, D. (2020). Physical constraints for improved soil hydraulic parameter estimation by pedotransfer functions. Water Resources Research, 56(4), e2019WR025963.
  64. Cui, J., Tian, L., Wei, Z., Huntingford, C., Wang, P., Cai, Z., ... & Wang, L. (2020). Quantifying the controls on evapotranspiration partitioning in the highest alpine meadow ecosystem. Water Resources Research, 56(4), e2019WR024815.
  65. Yang, X., Zhang, M., He, X., Ren, L., Pan, M., Yu, X., ..., Wei, Z., ... & Sheffield, J. (2020). Contrasting influences of human activities on hydrological drought regimes over China based on high‐resolution simulations. Water Resources Research, 56(6), e2019WR025843.
  66. Liang, J., Wei, Z., Lee, X., Wright, J. S., Cui, X., Chen, H., & Lin, G. (2019). Evapotranspiration characteristics distinct to mangrove ecosystems are revealed by multiple‐site observations and a modified two‐source model. Water Resources Research, 55(12), 11250-11273.
  67. Wei, Z.*, & Lee, X. (2019). The utility of near-surface water vapor deuterium excess as an indicator of atmospheric moisture source. Journal of Hydrology, 577, 123923.
  68. Wang, P., Deng, Y., & Wei, Z. (2019). Modeling Investigation of Diurnal Variations in Water Flux and Its Components with Stable Isotopic Tracers. Atmosphere, 10(7), 403.
  69. Wang, L., Lee, X., Feng, D., Fu, C., Wei, Z., Yang, Y., ... & Lin, G. (2019). Impact of large-scale afforestation on surface temperature: a case study in the Kubuqi Desert, Inner Mongolia based on the WRF model. Forests, 10(5), 368.
  70. Wang, P., Deng, Y., Li, X. Y., Wei, Z., Hu, X., Tian, F., ... & Wang, J. (2019). Dynamical effects of plastic mulch on evapotranspiration partitioning in a mulched agriculture ecosystem: Measurement with numerical modeling. Agricultural and Forest Meteorology, 268, 98-108.
  71. Peng, L., Zeng, Z., Wei, Z., Chen, A., Wood, E. F., & Sheffield, J. (2019). Determinants of the ratio of actual to potential evapotranspiration. Global change biology, 25(4), 1326-1343.
  72. Wei, Z.*, Lee, X., Aemisegger, F., Benetti, M., Berkelhammer, M., Casado, M., ... & Yoshimura, K. (2019). A global database of water vapor isotopes measured with high temporal resolution infrared laser spectroscopy. Scientific data, 6(1), 1-15.
  73. Arai, R., Watanabe, S., Wei, Z., & Ikeuchi, K. (2019). Estimation of future flood risk throughout Japan using d4PDF runoff data and some issues in the method. 土木学会論文集 B1 (水工学)(Web), 75(2), 1069-1074.
  74. Xiao, W., Wei, Z.*, & Wen, X. (2018). Evapotranspiration partitioning at the ecosystem scale using the stable isotope method—A review. Agricultural and Forest Meteorology, 263, 346-361.
  75. Wei, Z.*, Lee, X., & Patton, E. G. (2018). ISOLESC: A coupled isotope‐LSM‐LES‐Cloud modeling system to investigate the water budget in the atmospheric boundary layer. Journal of Advances in Modeling Earth Systems, 10(10), 2589-2617.
  76. Fu, C., Zhu, Q., Yang, G., Xiao, Q., Wei, Z., & Xiao, W. (2018). Influences of extreme weather conditions on the carbon cycles of bamboo and tea ecosystems. Forests, 9(10), 629.
  77. Fu, C., Lee, X., Griffis, T. J., Wang, G., & Wei, Z. (2018). Influences of root hydraulic redistribution on N2O emissions at AmeriFlux sites. Geophysical Research Letters, 45(10), 5135-5143.
  78. Wei, Z.*, Lee, X., Liu, Z., Seeboonruang, U., Koike, M., & Yoshimura, K. (2018). Influences of large-scale convection and moisture source on monthly precipitation isotope ratios observed in Thailand, Southeast Asia. Earth and Planetary Science Letters, 488, 181-192.
  79. Wei, Z.*, Lee, X., Wen, X., & Xiao, W. (2018). Evapotranspiration partitioning for three agro-ecosystems with contrasting moisture conditions: A comparison of an isotope method and a two-source model calculation. Agricultural and Forest Meteorology, 252, 296-310.
  80. Wang, L., Lee, X., Schultz, N., Chen, S., Wei, Z., Fu, C., ... & Lin, G. (2018). Response of surface temperature to afforestation in the Kubuqi Desert, Inner Mongolia. Journal of Geophysical Research: Atmospheres, 123(2), 948-964.
  81. Wang, P., Yamanaka, T., Li, X. Y., Wu, X., Chen, B., Liu, Y...., Wei, Z., ... & Ma, W. (2018). A multiple time scale modeling investigation of leaf water isotope enrichment in a temperate grassland ecosystem. Ecological research, 33, 901-915.
  82. Wang, L., Lee, X., Wang, W., Wang, X., Wei, Z., Fu, C., ... & Lin, G. (2017). A Meta-Analysis of Open-Path Eddy Covariance Observations of Apparent CO 2 Flux in Cold Conditions in FLUXNET. Journal of Atmospheric and Oceanic Technology, 34(11), 2475-2487.
  83. Fu, C., Ji, Z., & Wei, Z. (2017). Spatial patterns of ENSO's interannual influences on lilacs vary with time and periodicity. Atmospheric Research, 186, 95-106.
  84. Wei, Z.*, Yoshimura, K., Wang, L., Miralles, D. G., Jasechko, S., & Lee, X. (2017). Revisiting the contribution of transpiration to global terrestrial evapotranspiration. Geophysical Research Letters, 44(6), 2792-2801.
  85. Wei, Z.*, Yoshimura, K., Okazaki, A., Ono, K., Kim, W., Yokoi, M., & Lai, C. T. (2016). Understanding the variability of water isotopologues in near-surface atmospheric moisture over a humid subtropical rice paddy in Tsukuba, Japan. Journal of Hydrology, 533, 91-102.
  86. Wei, Z.*, Miyano, A., & Sugita, M. (2016). Drag and bulk transfer coefficients over water surfaces in light winds. Boundary-layer meteorology, 160(2), 319-346.
  87. Wang, P., Yamanaka, T., Li, X. Y., & Wei, Z. (2015). Partitioning evapotranspiration in a temperate grassland ecosystem: Numerical modeling with isotopic tracers. Agricultural and Forest Meteorology, 208, 16-31.
  88. Wei, Z.*, Yoshimura, K., Okazaki, A., Kim, W., Liu, Z., & Yokoi, M. (2015). Partitioning of evapotranspiration using high‐frequency water vapor isotopic measurement over a rice paddy field. Water Resources Research, 51(5), 3716-3729.
  89. Sugita, M., Ikura, H., Miyano, A., Yamamoto, K., &  Wei, Z. (2014). Evaporation from Lake Kasumigaura: annual totals and variability in time and space. Hydrological Research Letters, 8(3), 103-107.
  90. Wei, Z.*, Okazaki, A., Maeda, H., Satoh, Y., Kiguchi, M., Noda, K., ... & Yoshimura, K. (2014). Investigating Vegetation-Atmosphere Water Exchange by Using High Frequency Spectroscopy Vapor Isotope Observations. 土木学会論文集 B1 (水工学), 70(4), I_181-I_186.