LI Jihang
05/02/2024 Shanghai, China

李霁杭, 肖辉, 万齐林, 等, 2019: 基于2017年5月7日广州特大暴雨分析影响半径对集合卡尔曼滤波方法同化效果的影响, 热带气象学报, 35(01), 73-88, https://doi.org/10.16032/j.issn.1004-4965.2019.007.

LI Ji-hang, XIAO Hui, DING Wei-yu, et al., 2021: Key Deviation Analysis of Initial Fields on Ensemble Forecast in South China During the Rainfall Event on May 21, 2020. J. Trop. Meteorol., 27(04), 418-427, https://doi.org/10.46267/j.1006-8775.2021.036.

LI Ji-hang, GAO Yu-dong, WAN Qi-lin, et al., 2020: Sample Optimization of Ensemble Forecast to Simulate Tropical Storms (Merbok, Mawar, and Guchol) Using the Observed Track. J. Trop. Meteorol., 26(01), 14-26, https://doi.org/10.16555/j.1006-8775.2020.002.

李霁杭, 高郁东, 万齐林, 2019: 基于观测路径的集合预报样本优选对热带气旋的模拟研究, 热带气象学报, 35(02), 197-209, https://doi.org/10.16032/j.issn.1004-4965.2019.018.

LI Ji-hang, WAN Qi-lin, GAO Yu-dong, et al., 2018: The Effect of Sample Optimization on the Ensemble Kalman Filter in Forecasting Typhoon Rammasun (2014). J. Trop. Meteorol., 24(04), 433-447, https://doi.org/10.16555/j.1006-8775.2018.04.003.

黄燕燕, 薛纪善, 冯业荣, 等, 2018: 采用预报涡旋的初始化方案对2015年台风“莲花”、“灿鸿”的试验研究, 热带气象学报, 34(05), 598-609, https://doi.org/10.16032/j.issn.1004-4965.2018.05.003.

李霁杭, 黄燕燕, 万齐林, 2018: ECMWF资料和Bogus资料的2015年热带气旋结构的对比分析, 热带气象学报, 34(01), 48-58, https://doi.org/10.16032/j.issn.1004-4965.2018.01.005.

Li, J.H., Z.Y. Zhang, L. Liu, X.B. Zhang, J.X. Qu and Q.L. Wan, 2021: The simulation of five tropical cyclones by sample optimization of ensemble forecasting based on the observed track and intensity. Adv. Atmos. Sci., 38(10), 1763-1777, https://doi.org/10.1007/s00376-021-0353-2.

Li, J.H., Q.L. Wan, D.S. Xu, et al., 2021: An initialization scheme for weak tropical cyclones in the South China Sea. J. Meteor. Res., 35(02), 358-370, https://doi.org/10.1007/s13351-021-0069-3.

Li, J., Z. Zhang, Q. Wan and Y. Gao, 2020: Study of eleven tropical cyclones simulated by sample optimization of an ensemble forecast based on the observed track. Atmosphere-Ocean, 58(03), 157-172, https://doi.org/10.1080/07055900.2020.1770053.