张果，副研究员，中国科学院大学mobilesport365_365游戏盒子_28365备用网址官方网站学博士(美国国家大气研究中心联合培养)，中国mobilesport365_365游戏盒子_28365备用网址官方网站局地球系统数值预报中心副研究员。主要从事陆面模式不确定性分析及适应性研究、土地利用变化对陆面模拟的影响及地球系统模式中有关陆面模式研发等研究。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mobilesport365_365游戏盒子_28365备用网址官方网站科学研究院基本科研业务项目、中国mobilesport365_365游戏盒子_28365备用网址官方网站局地球系统数值预报中心青年基金项目及中国mobilesport365_365游戏盒子_28365备用网址官方网站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（mobilesport365_365游戏盒子_28365备用网址官方网站）科研专项等4项；已发表SCI/核心论文20余篇(其中第一/通讯作者论文13篇)。

教育经历

201009—201407，中国科学院大学，mobilesport365_365游戏盒子_28365备用网址官方网站学，博士 

201111—201310，美国NCAR，联合培养博士，国家留学基金委资助

200709—201007，中国mobilesport365_365游戏盒子_28365备用网址官方网站科学研究院，mobilesport365_365游戏盒子_28365备用网址官方网站学，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

2021.09—今，中国mobilesport365_365游戏盒子_28365备用网址官方网站局地球系统数值预报中心，耦合模式室，副研

2017.12—2021.09，中国mobilesport365_365游戏盒子_28365备用网址官方网站科学研究院，灾害天气国家重点实验室，副研

研究方向

陆面模式不确定性及适用性评估

陆面模式研发（Noah-MP陆面模式及BCC-AVIM模式）

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

论文论着

第一/通讯作者论文：

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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. mobilesport365_365游戏盒子_28365备用网址官方网站, 2016, 42(9): 1058-1068.

11. 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mobilesport365_365游戏盒子_28365备用网址官方网站, 2012, 31(4): 942-951.

12. 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.

13. 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, 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

2. 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

3. 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, doi: https://doi.org/10.1016/j.iswcr.2022.01.004

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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.

10. 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.

11. 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.

12. 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

13. 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

14. 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