Shao, X., N. Zhang and J. Tang, 2023: A physical model for the observed inverse energy cascade in typhoon boundary layers. Geophys. Res. Lett., 50, e2023GL105546, https://doi.org/10.1029/2023GL105546.

Shao, X., N. Zhang and J. Tang, 2023: The impact of observed drag reduction over land on typhoon forecasting. J. Geophys. Res.: Atmos., 128, e2022JD038278, https://doi.org/10.1029/2022JD038278.

Holbach, H.M., O. Bousquet, L. Bucci, et al., 2023: Recent advancements in aircraft and in situ observations of tropical cyclones. Trop. Cyclone Res. Rev., 12(02), 81-99, https://doi.org/10.1016/j.tcrr.2023.06.001.

Sun, Z., L. Bai, X. Zhu, et al., 2023: The extraordinarily large vortex structure of Typhoon In-fa (2021), observed by spaceborne microwave radiometer and synthetic aperture radar. Atmos. Res., 292, 106837, https://doi.org/10.1016/j.atmosres.2023.106837.

Duan, Z., B. Zhao, S. Fu, S. Zhang, L. Lin and J. Tang, 2023: Investigating the diurnal variation in coastal boundary layer winds on Hainan Island using three tower observations. Atmosphere, 14, 751, https://doi.org/10.3390/atmos14040751.

Li, Y. and J. Tang, 2023: Atmospheric boundary layer processes, characteristics and parameterization. Atmosphere, 14, 691, https://doi.org/10.3390/atmos14040691.

Wang, X., S. Tang, Y. Guo, J. Tang and S. Zhang, 2021: Evaluation and impact factors of Doppler wind lidar during Super Typhoon Lekima (2019). Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-42.

Li, Y., Y. Wu, J. Tang, P. Zhu, Z. Gao and Y. Yang, 2023: Quantitative evaluation of wavelet analysis method for turbulent flux calculation of non-stationary series. Geophys. Res. Lett., 50, e2022GL101591, https://doi.org/10.1029/2022GL101591.

Li, T., H. Qu, S. Tang, J. Tang, J. Yan, L. Lin, Y. Li and Y. Yang, 2023: Investigation of wind characteristics of typhoon boundary layer through field experiments and CFD simulations. Front. Earth Sci., 10, 1058734, https://doi.org/10.3389/feart.2022.1058734.

Gao, Y., Y. Zhang, L. Lei and J. Tang, 2023: Multi-scale characteristics of an extreme rain event in Shandong Province, produced by Typhoon Lekima (2019). Front. Earth Sci., 10, 1093545, https://doi.org/10.3389/feart.2022.1093545.

Bai, L., Y. Xu, J. Tang and R. Guo, 2023: Interagency discrepancies in tropical cyclone intensity estimates over the western North Pacific in recent years. Atmos. Sci. Lett., 24(01), e1132, https://doi.org/10.1002/asl.1132.

Zhou, K., Q. Li and J. Tang, 2022: Estimation of dissipative heating properties above the internal boundary layer in landfalling typhoons using multi-layer tower observations. Front. Earth Sci., 10, 833994, https://doi.org/10.3389/feart.2022.833994.

He, Y., T. Chen, J. Tang, P. Chan and J. Fu, 2022: Thermodynamic and kinematic structures in the rainband region of Typhoon Lekima (2019) at landfall. Atmosphere, 13, 312, https://doi.org/10.3390/atmos13020312.

Guo, Z., J. Tang, J. Tang, S. Wang, Y. Yang, W. Luo and J. Fang, 2021: Object-based evaluation of precipitation systems in convection-permitting regional climate simulation over eastern China. J. Geophys. Res.: Atmos., 126, e2021JD035645, https://doi.org/10.1029/2021JD035645.

Shi, W., J. Tang, Y. Chen, N. Chen, Q. Liu and T. Liu, 2021: Study of the boundary layer structure of a landfalling typhoon based on the observation from multiple ground-based Doppler wind lidars. Remote Sens., 13, 4810, https://doi.org/10.3390/rs13234810.

Guo, Z., J. Fang, M. Shao, et al., 2022: Improved summer daily and sub-daily precipitation over Eastern China in convection-permitting simulations. Atmos. Res., 265, 105929, https://doi.org/10.1016/j.atmosres.2021.105929.

Tang, J., J. Fei and H. Yu, 2022: Research of Super Typhoon Lekima: forecast, observation, numerical simulation and disaster survey. Front. Earth Sci., 16, 1-4, https://doi.org/10.1007/s11707-021-0929-2.

Chen, C., J. Tang, G. Kilroy, et al., 2021: An in-situ observational study on the turbulent characteristics in the near-surface layer during the landfalling period of Super Typhoon Maria (2018). ESS Open Archive, https://doi.org/10.1002/essoar.10508087.1.

Tang, J., J.A. Zhang, P. Chan, et al., 2021: A direct aircraft observation of helical rolls in the tropical cyclone boundary layer. Sci. Rep., 11(01), 18771, https://doi.org/10.1038/s41598-021-97766-7.

Zhang, S., J. Han, B. Zhao, et al., 2022: Consistency correction of echo intensity data for multiple radar systems and its application in quantitative estimation of typhoon precipitation. Front. Earth Sci., 16, 99-108, https://doi.org/10.1007/s11707-021-0902-0.

Sun, Z., B. Zhang and J. Tang, 2021: Estimating the key parameter of a tropical cyclone wind field model over the Northwest Pacific Ocean: A comparison between neural networks and statistical models. Remote Sens., 13, 2653, https://doi.org/10.3390/rs13142653.

Guo, R., H. Yu, Z. Yu, et al., 2022: Application of the frequency-matching method in the probability forecast of landfalling typhoon rainfall. Front. Earth Sci., 16, 52-63, https://doi.org/10.1007/s11707-021-0880-2.

Zhou, C., P. Chen, S. Yang, et al., 2022: The impact of Typhoon Lekima (2019) on East China: a postevent survey in Wenzhou City and Taizhou City. Front. Earth Sci., 16, 109-120, https://doi.org/10.1007/s11707-020-0856-7.

Bai, L., J. Tang, R. Guo, et al., 2022: Quantifying interagency differences in intensity estimations of Super Typhoon Lekima (2019). Front. Earth Sci., 16, 5-16, https://doi.org/10.1007/s11707-020-0866-5.

Zhang, B., Z. Zhu, W. Perrie, J. Tang and J.A. Zhang, 2021: Estimating tropical cyclone wind structure and intensity from spaceborne radiometer and synthetic aperture radar. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 14, 4043-4050, https://doi.org/10.1109/JSTARS.2021.3065866.

Tang, S., Guo, Y., Wang, X. et al., 2022: Validation of Doppler wind lidar during Super Typhoon Lekima (2019). Front. Earth Sci., 16, 75-89, https://doi.org/10.1007/s11707-020-0838-9.

Yan, J., J. Tang, H. Chen and L. Li-min, 2019: Application validity of wind profiler in typhoon environment. 2019 International Conference on Meteorology Observations (ICMO), 1-3, https://doi.org/10.1109/ICMO49322.2019.9025816.

Chen, N., J. Tang, J.A. Zhang, et al., 2021: On the distribution of helicity in the tropical cyclone boundary layer from dropsonde composites. Atmos. Res., 249, 105298, https://doi.org/10.1016/j.atmosres.2020.105298.

史文浩, 汤杰, 陈勇航, 等, 2020: 多普勒激光雷达探测台风“利奇马”边界层风场精度分析, 热带气象学报, 36(05), 577-589, https://doi.org/10.16032/j.issn.1004-4965.2020.053.

Tang, S., S. Huang, H. Yu, et al., 2021: Impact of horizontal resolution in CALMET on simulated near-surface wind fields over complex terrain during Super Typhoon Meranti (2016). Atmos. Res., 247, 105223, https://doi.org/10.1016/j.atmosres.2020.105223.

Zhang, X., J. Tang, C. Wu and D. Wu, 2020: An observational study of the inner core structure of Typhoon Meranti (2016) near landfall. Atmos. Sci. Lett., 21, e962, https://doi.org/10.1002/asl.962.

Fang, P., W. Jiang, J. Tang, X. Lei and J. Tan, 2020: Variations in friction velocity with wind speed and height for moderate-to-strong onshore winds based on measurements from a coastal tower. J. Appl. Meteor. Climatol., 59, 637-650, https://doi.org/10.1175/JAMC-D-18-0327.1.

Guo, Z., J. Fang, X. Sun, et al., 2020: Decadal long convection-permitting regional climate simulations over eastern China: evaluation of diurnal cycle of precipitation. Clim. Dyn., 54, 1329-1349, https://doi.org/10.1007/s00382-019-05061-z.

金蕊, 余晖, 吴志伟, 汤杰, 2020: 次季节——季节尺度热带气旋活动研究和预测技术进展, 大气科学学报, 43(01), 238-254, https://doi.org/10.13878/j.cnki.dqkxxb.20191025006.

Duan, Y., and Coauthors, 2019: Landfalling Tropical Cyclone Research Project (LTCRP) in China. Bull. Amer. Meteor. Soc., 100, ES447-ES472, https://doi.org/10.1175/BAMS-D-18-0241.1.

Bao, X., L. Wu, B. Tang, L. Ma, D. Wu, J. Tang, et al., 2019: Variable raindrop size distributions in different rainbands associated with Typhoon Fitow (2013). J. Geophys. Res.: Atmos., 124, 12262-12281, https://doi.org/10.1029/2019JD030268.

Bai, L., H. Yu, P.G. Black, Y. Xu, M. Ying, J. Tang and R. Guo, 2019: Reexamination of the tropical cyclone wind-pressure relationship based on pre-1987 aircraft data in the Western North Pacific. Wea. Forecasting, 34, 1939-1954, https://doi.org/10.1175/WAF-D-18-0002.1.

Lu, X., H. Yu, X. Yang, et al., 2019: A new technique for automatically locating the center of tropical cyclones with multi-band cloud imagery. Front. Earth Sci., 13, 836-847, https://doi.org/10.1007/s11707-019-0784-6.

Tang, J., et al., 2018: Sensitivity of hurricane intensity and structure to two different types of planetary boundary layer parameterization schemes in idealized HWRF simulations. Trop. Cyclone Res. Rev., 7(04), 201-210, https://doi.org/10.6057/2018TCRR04.01.

Bao, X., L. Ma, J. Liu, et al., 2018: Formation and development of a mountain-induced secondary center inside Typhoon Morakot (2009). Adv. Atmos. Sci., 35, 1160-1176, https://doi.org/10.1007/s00376-018-7199-2.

Tang, J., J.A. Zhang, S.D. Aberson, F.D. Marks and X. Lei, 2018: Multilevel tower observations of vertical eddy diffusivity and mixing length in the tropical cyclone boundary layer during landfalls. J. Atmos. Sci., 75, 3159-3168, https://doi.org/10.1175/JAS-D-17-0353.1.

Tang, J., D. Byrne, J.A. Zhang, Y. Wang, X. Lei, D. Wu, P. Fang and B. Zhao, 2015: Horizontal transition of turbulent cascade in the near-surface layer of tropical cyclones. J. Atmos. Sci., 72, 4915-4925, https://doi.org/10.1175/JAS-D-14-0373.1.