科研项目

中科院大气所LASG开放基金: “陆面模式参数优化及其对蒸散发估算的应用研究”，2019-2020，主持。

国家青年科学基金项目: “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。

北京市优秀人才培养资助项目:“基于北京天气系统的WRF模式参数化方案组合优化研究， 2013-2014，主持。

中央高校基本科研基金：“拟三维地下水模型与陆面过程模式的区域耦合研究”，2013-2014，主持。

中科院大气所LASG开放基金: “陆面模式CLM4.0的参数敏感性分析研究”，2013-2014，主持。

著作论文

[1] Wang, X., Di, Z.*, Li, M., et al. (2021). Satellite-derived variation in burned area in China from 2001 to 2018 and its response to climatic factors. Remote Sensing, 2021, 13, 1287.

[2] Di, Z., Ye, A., Duan, Q., et al. (2021). Assessment of parametric sensitivity analysis methods based on a quasi two- dimensional groudwater model. Joural of Environmental Informatics, 37(1): 62-78.

[3] Di, Z., Duan, Q., Shen, C., et al. (2020). Improving WRF typhoon precipitation and intensity simulation using a surrogate-based automatic parameter optimization method. Atmosphere, 11: 89.

[4] Zhang, C., Di, Z.*, Duan, Q., et al. (2020). Improved land evapotranspiration simulation of the Community Land Model using a surrogate-based automatic parameter optimization method. Water, 12:943.

[5] 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.

[6] Di, Z., Gong, W., Gan, Y., et al. (2019). Combinatorial optimization for WRF physical parameterization schemes: A case study of three-day typhoon simulations over the Northwest Pacific Ocean. Atmosphere,10(5): 233.

[7] 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. Clim. Dyn. 50: 1927-1948.

[8] 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. Sci. China Earth Sci. 60(5): 876-898.

[9] Duan, Q., Di, Z., Quan, J., et al.(2017). Automatic model calibration - a new way to improve numerical weather forecasting. B. Am. Meteorol. Soc. 98(5): 959-970.

[10] Quan, J., Di, Z., Duan, Q.,et al.(2016). An evaluation of parametric sensitivities of different meteorologicalvariables simulated by the WRF model. Q. J. Roy.Meteor.Soc.142(700): 2925-2934.

[11] 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. Geophys.Res. Lett. 42(2):579-587.

[12] Di, Z., Luo, Z., Xie, Z., et al.(2012). An optimizing implicit difference scheme based on proper orthogonaldecomposition for the two-dimensional unsaturated soil water flow equation. Int. J. Numer. Meth. Fl. 68(10):1324-1340.