张果，中国科学院大学气象学博士(美国国家大气研究中心联合培养)，中国气象局地球系统数值预报中心研究员。主要从事陆气相互作用、陆面模式研发、陆面模式不确定性及适应性研究、土地利用变化对陆面模拟的影响等研究。主持科技部国家重点研发专项课题、国家自然科学基金面上项目、国家自然科学青年基金项目、中国气象科学研究院基本科研业务项目、中国气象局地球系统数值预报中心青年基金项目及中国气象科学研究院科技发展基金等7项；作为骨干成员，参加科技部国家重点研发专项课题、国家自然科学基金重点项目、面上项目及公益性行业（气象）科研专项等多项；已发表SCI/核心论文40余篇。先后获评2022年度中国气象局地球系统数值预报中心青年英才、2023年度中国气象局高层次气象科技创新人才计划“青年气象英才”。

教育经历

201009—201407，中国科学院大学，气象学，博士

201111—201310，美国NCAR，联合培养博士

200709—201007，中国气象科学研究院，气象学，硕士

200909—200911，美国杰克逊州立大学，大气物理学，交换生

200309—200707，云南大学，大气科学，理学学士

工作经历

2024.11—至今，      中国气象局地球系统数值预报中心，耦合模式室，研究员

2021.09—2024.11，中国气象局地球系统数值预报中心，耦合模式室，副研

2017.12—2021.09，中国气象科学研究院，灾害天气国家重点实验室，副研

研究方向

陆面模式研发

陆面模式不确定性及适用性评估

主持/参与项目

1. 国家自然科学基金面上项目：我国土地覆盖变化的非辐射生物物理效应及关键陆面物理过程研究（202301-202612），主持

2.国家重点研发计划专项课题：陆面和大气边界层能量传输及其相互作用（201812-202112），主持

3. 国家自然科学基金青年项目：青藏高原东南缘典型农田和森林下垫面关键陆面物理过程研究（201601-201812），主持

4. 中国气象局地球系统数值预报中心青年基金项目：陆面模式中冰雪下垫面参数化方案评估及改进（202201-202312），主持

5. 中国气象科学研究院基本科研业务项目：青藏高原陆面模拟的不确定性分析（201701-201712），主持

6.国家自然科学基金面上项目：下垫面变化对我国气溶胶浓度时空分布影响数值模拟研究（202001-202312），骨干参加

7. 国家自然科学基金重点项目：青藏高原陆面过程参数化的不确定性及其对高原地-气耦合作用的影响 (201601-201912)，骨干参加

论文论著

第一/通讯作者论文：

1. Zhang, G., Zhang, Y., Lu, Y., et al., 2025: Decomposition and attribution of land surface temperature bias over China in CoLMv2024 and Noah‐MP land surface model. Journal of Geophysical Research: Atmospheres, 130, e2025JD044230. https://doi.org/10.1029/2025JD044230

2. Zhang, Y., G. Zhang*, W. P. Li, et al., 2025: The biophysical effect of loss of different forests on land surface temperature in idealized deforestation experiment. Theoretical and Applied Climatology, 156, 198. https://doi.org/10.1007/s00704-025-05423-0

3. Cao, X., G. Zhang*, Y. L. Chen, et al., 2024: Optimization of snow-related processes in Noah-MP land surface model over the mid-latitudes of Asian region. Atmospheric Research, 311: 107711.

4. Cai, X., Y. Cao, G. Zhang*, et al., 2024: Influence of terrestrial nitrogen dynamics on mesoscale near-surface meteorological fields. Journal of Geophysical Research: Atmospheres, 129, e2023JD040168. https://doi.org/10.1029/2023JD040168

5. Zhang, G., H. Q. Li, J. D. Li, et al., 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, doi: 10.1029/2022JD037722

6. Li, H., G. Zhang*, C. Wang, et al., 2023: Improving snow albedo parameterization scheme based on remote sensing data. Atmospheric Research, 284, 106602

7. Chen, Y., M. Ding*, G. Zhang*, et al., 2023: The possible role of fused precipitation data in detection of the spatiotemporal pattern of rainfall erosivity over the Tibetan Plateau, China. Catena, 228, doi: 10.1016/j.catena.2023.107114

8. Chen, Y., M. Ding*, G. Zhang*, et al., 2023: Evaluation of ERA5 reanalysis precipitation data in the Yarlung Zangbo River Basin of Tibetan Plateau. Journal of Hydrometeorology, 24, 1491–1507, doi: 10.1175/JHM-D-22-0229.1

9. Zhang, G., J. D. Li, G. S Zhou, et al., 2021: Effects of mosaic representation of land use/land cover on skin temperature and energy fluxes in Noah-MP land surface model over China. Journal of Geophysical Research: Atmospheres, 126, e2021JD034542.

10. Zhang, G., Y. L. Chen and J. D. Li, 2021: Effects of organic soil in the Noah-MP land-surface model on simulated skin and soil temperature profiles and surface energy exchanges for China. Atmospheric Research, 249, 105284.

11. Zhang, G., F. Chen, Y. L. Chen, et al., 2020. Evaluation of Noah-MP Land-Model Uncertainties over Sparsely Vegetated Sites on the Tibet Plateau. Atmosphere, 2020, 11(5), 458.

12. Li, J.*, G. Zhang*, F. Chen, et al., 2019. Evaluation of land surface subprocesses and their impacts on model performance with global flux data. Journal of Advances in Modeling Earth Systems, 11, 1329–1348.

13. Zhang, G., J. D. Li, X. Y. Rong, et al., 2018: An Assessment of CAMS-CSM in Simulating Land–Atmosphere Heat and Water Exchanges. Journal of Meteorological Research, 32(6), 862-880.

14. Zhang, G., G. S. Zhou, F. Chen, 2017: Analysis of parameter sensitivity on surface heat exchange in the Noah land surface model at a temperate desert steppe site in China. Journal of Meteorological Research, 31(6), 1167-1182.

15. Zhang, G., F. Chen, and Y. J. Gan, 2016: Assessing uncertainties in the Noah-MP ensemble simulations of a cropland site during the Tibet Joint International Cooperation program field campaign. Journal of Geophysical Research: Atmospheres, 121, 9756-9596.

16. Zhang, G., G. S. Zhou, F. Chen, et al., 2014: A trial to improve surface heat exchange simulation through sensitivity experiments over a desert steppe site. Journal of Hydrometeorology, 15(2), 664-684.

17. Zhang, G., G. S. Zhou, F. Chen, et al., 2014: Analysis of Variability of Canopy Resistance over a Desert Steppe Site in Inner Mongolia, China. Advances in Atmospheric Sciences, 31(3), 1-12.

18. 张果, 薛海乐, 徐晶, 等. 东亚区域陆面过程方案Noah和Noah-MP的比较评估. 气象, 2016, 42(9): 1058-1068.

19. 张果,周广胜.稀疏植被地表反照率日变化对通量模拟效果的影响分析-以内蒙古荒漠草原感热和潜热通量为例.高原气象,2012, 31(4): 942-951.

20. 张果,周广胜,阳伏林.内蒙古荒漠草原地表反照率变化特征分析.生态学报, 2010, 30(24): 6943-6951.

21. 张果,周广胜,阳伏林.内蒙古温带荒漠草原生态系统水热通量动态.应用生态学报, 2010, 21(3):597-603.

合作论文：

1. Li, J., Gan, Y., Zhang, G., Gou, J., Lu, X., Miao, C., 2024: Quantifying the interactions of Noah-MP land surface processes on the simulated runoff over the Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 129, e2023JD040343. https://doi.org/10.1029/2023JD040343

2. Meng, C., Gu, Y., Li, H., Jin, H., Zhang, G., Cui, J., 2024: A physical mechanism-based Scheme for parameterizing the fractional vegetation cover. Russian Meteorology and Hydrology, 49(5), 430–434.

3. Tang, L., Gao, W., Xue, L., Zhang, G., Guo, J., 2023: Climatological characteristics of hydrometeors in precipitating clouds over eastern China and their relationship with precipitation based on ERA5 reanalysis. Journal of Applied Meteorology and Climatology, 1, 625–641. https://doi.org/10.1175/JAMC-D-22-0076.1

4. Yang, K., Yang, J., Zhaoye, P., Zhang, F., Zhang, G., Wang, C., 2023: Optimization and validation of soil frozen-thawing parameterizations in Noah-MP. Journal of Geophysical Research: Atmospheres, 128, e2022JD038217. https://doi.org/10.1029/2022JD038217

5. 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), 12191, https://doi.org/10.3390/su151612191

6. 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 Framework. Remote Sensing, 14, 4401. https://doi.org/10.3390/rs14174401

7. Liu, Z., Gao, Y., Zhang, G., 2022: How well can a convection-permitting-modelling improve the simulation of summer precipitation diurnal cycle over the Tibetan Plateau? Climate Dynanics, 58: 3121–3138. https://doi.org/10.1007/s00382-021-06090-3

8. Chen, Y., Duan, X., Zhang, G., Ding, M., Lu, S., 2022: Rainfall erosivity estimation over the Tibetan plateau based on high spatial-temporal resolution rainfall records. International Soil and Water Conservation Research, 10(3), 422–432. doi: https://doi.org/10.1016/j.iswcr.2022.01.004

9. Li, J., Miao, C., Zhang, G., Fang, Y. H., Shangguan, W., Niu, G.Y., 2022: Global evaluation of the Noah-MP land surface model and suggestions for selecting parameterization schemes. Journal of Geophysical Research: Atmospheres, 127, e2021JD035753. https://doi.org/10.1029/2021JD035753

10. Bai, H., Xiao, F., Zhang, G., Liu, Q., Qin, Y., Liao, Y., 2022: Influence of Seasonal Air–Sea Interaction on the Interannual Variation of the NPP of Terrestrial Natural Vegetation in China. Atmosphere, 13, 1837. https://doi.org/10.3390/atmos13111837

11. Wei, W., Peng, X., Lin, Y., Li, J., Zhang, G., Yang, Y., Long, J., 2022: Extension and evaluation of University of Washington moist turbulence scheme to gray-zone scales. Journal of Advances in Modeling Earth Systems, 14, e2021MS002978. https://doi.org/10.1029/2021MS002978

12. Li, J., Miao, C., Wei, W., Zhang, G., Hua, L., Chen, Y., & Wang, X. (2021). Evaluation of CMIP6 global climate models for simulating land surface energy and water fluxes during 1979– 2014. Journal of Advances in Modeling Earth Systems, 13, e2021MS002515. https://doi.org/10.1029/2021MS002515

13. Li, J., Chen, F., Lu, X., Gong, W., Zhang, G., & Gan, Y. (2020). Quantifying contributions of uncertainties in physical parameterization schemes and model parameters to overall errors in Noah‐MP dynamic vegetation modeling. Journal of Advances in Modeling Earth Systems, 12, e2019MS001914. https://doi.org/ 10.1029/2019MS001914

14. Chen, L., Hua, L., Rong, X., Li, J., Wang, L., Zhang, G., et al., 2019: Cloud radiative feedbacks during the enso cycle simulated by cams-csm. Journal of Meteorological Research. 33(4): 666-677. DOI: 10.1007/s13351-019-8104-3

15. Xin, Y. F., Dai, Y. J., Li, J., Rong, X. Y., Zhang, G., 2019: Coupling the Common Land Model to ECHAM5 atmospheric general circulation model. J. Meteor. Res., 33(2), 251–263, doi: 10.1007/s13351-019-8117-y.

16. Hua, L. J., Chen, L., Rong, X. R., Li, J., Zhang, G., Wang, L., 2019: An assessment of ENSO stability in CAMS climate system model simulations. J. Meteor. Res., 33(1), 80–88, doi: 10.1007/s13351-018-8092-8.

17. Rong, X. Y., Li, J., Chen, H. M., Xin,Y. F., Su, J. Z., Hua, L. J., Zhou, T. J., Qi, Y. J., Zhang, Z. Q., Zhang, G., Li, J.D., 2018: The CAMS climate system model and a basic evaluation of its climatology and climate variability simulation. J. Meteor. Res., 32(6), 839–861, doi: 10.1007/s13351-018- 8058-x.

18. Li, J., Chen, F., Zhang, G., Barlage, M., Gan, Y., Xin, Y., & Wang, C., 2018: Impacts of land cover and soil texture uncertainty on land model simulations over the central Tibetan Plateau. Journal of Advances in Modeling Earth Systems, 10, 2121–2146. https://doi.org/10.1029/2018MS001377

19. Chen, F., Zhang, G., Barlage, M., et al., 2015: An Observational and Modeling Study of Impacts of Bark Beetle–Caused Tree Mortality on Surface Energy and Hydrological Cycles. Journal of Hydrometeorology, 15(2): 664-684

20. Rasmussen, R., Ikeda, K., Liu, C., Gochis, D., Clark, M., Dai, A., Gutmann, E., Dudhia, J., Chen, F., Barlage, M., Yates, D., Zhang, G., 2014: Climate change impacts on the water balance of the Colorado headwaters: High-resolution regional climate model simulations. Journal of Hydrometeorology, 15, 1091–1116. https://doi.org/10.1175/JHM-D-13-0118.1

21.曾礼, 高艳红, 张果, 李剑铎, 2023. 华东地区主要地形因子对极端小时降水峰型的影响研究. 大气科学学报, 46(3): 369-379.

2022：中国气象局地球系统数值预报中心青年英才

2023：中国气象局新时代气象高层次科技创新人才计划“青年气象英才”