理学博士，副研究员。2012年于中国科学院地理科学与资源研究所获自然地理专业博士学位，2014年于中国科学院地理科学与资源研究所博士后出站并留所工作至今。主要从事流域生态水文过程模拟、气候变化对水文水资源影响等研究。发表学术论文80余篇，参编专著5部，先后主持了国家自然科学基金面上项目，国家自然科学基金重点项目课题、国家重点研发国际合作项目课题、国家重点研发计划专题、中国科学院战略先导项目专题等10余项，荣获2026年山东省科学技术一等奖、2023年度中国地理科学十大研究进展和2023年度中国生态环境十大科技进展等奖励。

研究领域和方向

气候与生态水文。主要研究方向包括生态水文关键过程机理、生态水文过程模拟、气候-生态-水文相互作用等。

主要研究项目

1. 国家自然科学面上项目，基于水盐过程模拟的引黄灌区作物种植布局优化研究

2. 国家自然科学面上项目，基于作物水分生产力区域分异特征的农业用水方案研究

3. 国家自然科学基金重点基金课题，半干旱典型河流系统水文-水环境-水生态协同机制与模拟调控

4. 国家重点研发计划专题，典型干旱区气候变化与经济社会适应

5. 国家重点研发计划专题，20世纪50年代以来中国北方湖泊变化及其生态效应研究

6. 国家重点研发计划国际合作项目课题，地表要素的卫星和UAV多源遥感及其水文业务预报应用

主要学术论著

[1] Wenrui Yuan, Shi Hu*, Chesheng Zhan, Zhonghui Lin. A dynamic-gated Mixture-of-Experts framework improves and interprets daily streamflow simulation. Communications Earth & Environment. 2026, 7: 614.

[2] Wenrui Yuan, Shi Hu*, Chaoyang Du, Chesheng Zhan. Emergence of macroscopic hydraulic behaviors from data: a hybrid physics-AI universal differential equation framework for spatio-temporal soil moisture dynamics. Journal of Hydrology. 2026, 680:136417.

[3] Huiming Meng, Chesheng Zhan*, Shi Hu*, Zhonghe Li, Zhonghui Lin. Implementing a Dynamic Root Distribution Scheme Responsive to Soil Environment into Noah-MP-Crop: Improving Simulations of Soil Water, Crop Growth, and Energy Fluxes in Agro-Ecosystems. Journal of Geophysical Research: Biogeosciences. 2026, 131, e2025JG009462.

[4] Wenrui Yuan, Shi Hu*, Chesheng Zhan, Guoqiang Wang, Youyu Luo. Machine learning land surface temperature downscaling method based on Landsat 9 and Sentinel-2 satellite feature interaction. Geo-spatial Information Science. 2025, DOI: 10.1080/10095020.2025.2598526

[5] Shi Hu, Xunming Wang, Xianfang Song. Could the hydrological conditions of Lake Baiyangdian support a booming metropolis? Science of the Total Environment. 2023, 869: 161764

[6] Shi Hu, Xingguo Mo. Diversified Evapotranspiration Responses to Climatic Change and Vegetation Greening in Eight Global Great River Basins. Journal of Hydrology. 2022, 613: 128411

[7] Shi Hu, Xingguo Mo. Detecting regional GPP variations with statistically downscaled solar-induced chlorophyll fluorescence (SIF) based on GOME-2 and MODIS data. International Journal of Remote Sensing. 2020, 42(23): 9206-9228.

[8] Chesheng Zhan, Ruixing Zhao, Shi Hu*. Emergy-based sustainability assessment of forest ecosystem with the aid of mountain eco-hydrological model in Huanjiang County, China. Journal of Cleaner Production. 2020, 251: 119638.

[9] Shi Hu, Xingguo Mo, Farong Huang. Retrieval of photosynthetic capability for yield gap attribution in maize via model-data fusion. Agricultural Water Management. 2019, 226: 105783

[10] Shi Hu, Xingguo MO. Prediction of crop productivity and evapotranspiration with two photosynthetic parameter regionalization methods. Journal of Agricultural Science. 2014, 15(3): 119-133

[11] Shi Hu, Xingguo MO, Zhonghui Lin. Optimizing the photosynthetic parameter V_cmax by assimilating MODIS-fPAR and MODIS-NDVI with a process-based ecosystem model. Agricultural and Forest Meteorology. 2014, 198-199: 320-334

[12] Shi Hu, Xingguo MO. Interpreting spatial heterogeneity of crop yield with a process model and remote sensing. Ecological Modelling. 2011, 222(14): 2530-2541.

[13] Shi Hu, Zhonghui Lin, Xingguo MO, Jianxiu Qiu. Emergy Assessment of a Wheat-Maize rotation system with different water assignments in the North China Plain. Environmental Management. 2010, 46(8): 643-657.

[14]胡实,莫兴国,林忠辉.冬小麦种植区域的可能变化对黄淮海地区农业水资源盈亏的影响.地理研究,2017,36(05):861-871.

[15]胡实,莫兴国,林忠辉,刘苏峡.黄淮海平原冬小麦种植的气候变化适应评估.自然资源学报,2016,31(11):1892-1905.

[16]胡实,莫兴国,林忠辉.气候变化对黄淮海平原冬小麦产量和耗水的影响及品种适应性评估.应用生态学报,2015,26(04):1153-1161. 

招生专业：气候与生态水文

招生方向：生态水文关键过程机理、生态水文过程模拟、气候变化

通讯地址：北京市安外大屯路甲11号 中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室 邮编：100101

电子信箱：hus.08b@igsnrr.ac.cn