研究方向：水文生态与气象

2007.9-2011.6 中国科学院大气物理研究所  水文气象学专业   联合培养博士

2006.9-2011.6 北京交通大学 　计算数学专业　 理学博士(硕博连读）

2011.8-至今　北京师范大学地理科学学部

本科生课程：Linux从入门到精通、全球水文学

研究生课程：陆气过程与模拟、计算机地图制图学

国家自然科学基金面上项目：“基于复杂陆面模式参数优化的中国蒸散发估算研究”; 2023-2026; 主持

国家自然科学基金青年项目：“拟三维地下水模型与通用陆面模式(CoLM)的耦合研究”; 2014-2016; 主持

国家自然科学基金重点项目：“中国陆表气候观测数据的渐变型不均一性”; 2020-2024; 子课题主持

科技部第二次青藏综合科学考察项目：“安全屏障功能与优化体系”; 2019-2024; 专题五第三子课题骨干

Li, M., Di, Z.*, Yao, Y. et al. (2024) Variations in water conservation function and attributions in the Three-River Source Region of the Qinghai-Tibet Plateau based on the SWAT model. Agricultural and Forest Meteorology, 2024, 349.

Li, M., Di, Z.*, Duan, Q. (2021). Effect of sensitivity analysis on parameter optimization: case study based onstreamflow simulations using the SWAT model in China. Journal of Hydrology, 2021, 603, 126896.

Di, Z., Ao, J., Duan, Q., et al. (2019). Improving WRF model turbine-height wind-speed forecasting using a surrogate- based automatic optimization method. Atmospheric Research, 226(9): 1-16.

Di, Z., Duan, Q., Wang, C., Ye, A. ,&Gong, W. (2018). Assessing the applicability of WRF optimal parameters under the different precipitation simulations in the Greater Beijing Area. Climate Dynamics, 50: 1927-1948.

Di, Z., Duan, Q., Gong, W.,et al.(2017). Parametric sensitivity analysis of precipitation and temperature based on multi-uncertainty quantification methods in the Weather Research and Forecasting model. Science China Earth Sciences 60(5): 876-898.

Di, Z., Duan, Q., Gong, W., et al.(2015). Assessing WRF model parameter sensitivity: A case study with 5 daysummer precipitation forecasting in the Greater Beijing Area. Geophysical Research Letters, 42(2):579-587.