[1] EMANUEL K A. Increasing destructiveness of tropical cyclones over the past 30 years[J]. Nature, 2005, 436(7051): 686-688, https://doi.org/10.1038/nature03906.
[2] WEBSTER P J, HOLLAND G J, CURRY J A, et al. Changes in tropical cyclone number, duration, and intensity in a warming environment[J]. Science, 2005, 309(5742): 1844-1846, https://doi.org/10.1126/science.1116448.
[3] LI C Y, ZHOU W. Change in destructiveness of landfalling tropical cyclones over China in recent decades[J]. JClimate, 2017, 30: 3367-3379, https://doi.org/10.1175/JCLI-D-16-0258.1.
[4] KNUTSON T, SUZANA J, CHAN C et al. Tropical cyclones and climate change assessment, Part Ⅰ: detection and attribution[J]. Bull Amer Meteor Soc, 2019, 100: 1987-2007, https://doi.org/10.1175/BAMS-D-18-0189.1.
[5] JIAO M, SONG L, ZHANG Z. Atlas of Hazardous Weather and Climate in China (1961-2015)[M]. Beijing: China Meteorological Press, 2018: 16 (in Chinese).
[6] QIN D H, ZHANG J Y, SHAN C C, et al. China National Assessment Report on Risk Management and Adaptation of Climate Extremes and Disasters[M]. Beijing: Beijing Science Press, 2016: 123-124.
[7] YIN J, YIN Z, XU S. Composite risk assessment of typhoon-induced disaster for China's coastal area[J]. Natural Hazards, 2013, 69: 1423-1434, https://doi.org/10.1007/s11069-013-0755-2.
[8] ZHANG J, WU L, ZHANG Q. Tropical cyclone damages in China under the background of global warming[J]. Journal of Tropical Meteorology, 2011, 27(4): 442-454.
[9] CHEN X, WANG Y, WEN S, et al. variation characteristics of the hazard-inducing tropical cyclones and their direct economic loss in the coastal region of southeastern China during 1986-2015[J]. Resources and Environment in the Yangtze Basin, 2018, 27(3): 583-593 (in Chinese).
[10] WEN Guan-huan, LIU Chun-xia, BI Xue-yan, et al. Acomposite study of rainfall asymmetry of tropical cyclones after making landfall in Guangdong province[J]. J Trop Meteor, 2017, 23(4): 417-425, https://doi.org/10.16555/j.1006-8775.2017.04.007.
[11] LUO X, YAO C, TAN J. Analysis on numbers and intensity characteristics of typhoon landed in the South China[J]. Marine Forecasts, 2018, 35(4): 58-67.
[12] National Climate Center. China Climate Bulletin 2018[Z]. Beijing: National Climate Center, 2019: 52.
[13] WU Ya-li, GAO Yu-dong, CHEN De-hui, et al. Synoptic characteristics related to warm-sector torrential rainfall events in South China during the annually first rainy season[J]. J Trop Meteor, 2020, 26(3): 253-260, https://doi.org/10.46267/j.1006-8775.2020.023.
[14] WANG Chen-xi, YING Ming. Impact of different cloud microphysics parameterization schemes on typhoon intensity and structure[J]. J Trop Meteor, 2021, 27(2): 109-124, https://doi.org/10.46267/j.1006-8775.2021.011.
[15] XIAO F, XIAO Z. Characteristics of tropical cyclones in China and their impacts analysis[J]. Natural Hazards, 2010, 54(3): 827-837, https://doi.org/10.1007/s11069-010-9508-7.
[16] YING M, CHEN B, WU G. Climate trends in tropical cyclone-induced wind and precipitation over mainland China[J]. Geophysical Research Letters, 2011, 38(1): 321-326, https://doi.org/10.1029/2010GL045729.
[17] LU Y, ZHU W, REN F, et al. Changes of tropical cyclone high winds and extreme winds during 1980-2014 over China[J]. Climate Change Research, 2016, 12(5): 413-421 (in Chinese).
[18] YIN C, ZHANG J, XIONG M, et al. Trend analysis of typhoon and storm surge disaster on the South China Sea coast of China[J]. Journal of Tropical Oceanography, 2019, 38(1): 38-42 (in Chinese).
[19] LIU K, CHAN J. Recent increase in extreme intensity of tropical cyclones making landfall in South China[J]. Clim Dyn, 2020, 55: 1059-1074, https://doi.org/10.1007/s00382-020-05311-5.
[20] CHEN L, MENG Z, CONG C. An overview on the research of typhoon rainfall distribution[J]. Journal of Marine Meteorology, 2017, 37(4): 1-7 (in Chinese).
[21] LI Hui-qi, LIU Xian-tong, XIAO Hui, et al. Assimilation of polarimetric radar data using an ensemble Kalman filter for the analysis and forecast of tropical storm Ewiniar(2018)[J]. J Trop Meteor, 2021, 27(2): 94-108, https://doi.org/10.46267/j.1006-8775.2021.010.
[22] TAN Z, LIANG M, XUE Y, et al. Diagnosis on the heavy precipitation of typhoon Lekima[J]. Journal of Nanjing University of Information Science and Technology(Natural Science Edition), 2020, 12(4): 450-459 (in Chinese).
[23] LIU Xiao-qin, YU Hui, YING Ming, et al. The effects of station network density on statistical analyses of tropical cyclone precipitation[J]. J Trop Meteor, 2018, 24(4): 421-432, https://doi.org/10.16555/j.1006-8775.2018.04.002.
[24] LEE C, WU C, WANG T et al. Advances in Understanding the"Perfect Monsoon-influenced Typhoon": Summary from International Conference on Typhoon Morakot (2009)[J]. Asia-Pac J Atmos Sci, 2011, 47(3): 213-222.
[25] YEN T, WU C, LIEN G. Rainfall simulations of Typhoon Morakot with controlled translation speed based on EnKFdata assimilation[J]. Terr Atmos Ocean Sci, 2011, 22: 647-660, https://doi.org/10.3319/TAO.2011.07.05.01(TM).
[26] YIN Yi-zhou, ZHU Zhi-cun, YE Dian-xiu, et al. Analysis on the characteristics of tropical cyclones making landfall on different regions of Chinese mainland[J]. J Trop Meteor, 2013, 19(3): 276-283.
[27] KIM J M, SON K., KIMY. Assessing regional typhoon risk of disaster management by clustering typhoon paths[J]. Environ Dev Sustain, 2019, 21: 2083-2096. https://doi.org/10.1007/s10668-018-0086-2.
[28] YE J, LIN G, ZHANG M, et al. Hazard analysis of typhoon disaster-causing factors based on different landing paths: a case study of Fujian Province, China[J]. Natural Hazards, 2020, 100: 811-828. https://doi.org/10.1007/s11069-019-03843-6.
[29] REN F, YANG H. An overview of advances in typhoon rainfall and its forecasting research in China during the past 70 years and future prospects[J]. Torrential Rain and Disasters, 2019, 38(5): 526-540 (in Chinese).
[30] ZHANG J, HUANG C, LIU X, et al. Risk assessment of land-falling tropical cyclones in Guangdong Province, China[J]. Human and Ecological Risk Assessment: An International Journal, 2011, 17(3): 732-744 (in Chinese).
[31] REN Z, YU Y, ZOU F, et al. Quality detection of surface historical basic meteorological data[J]. J Appl Meteor Sci, 2012, 23(6): 739-747 (in Chinese).
[32] YING M, ZHANG W, YU H, et al. An overview of the China Meteorological Administration tropical cyclone database[J]. J Atmos Oceanic Technol, 2014, 31: 287-301, https://doi.org/10.1175/JTECH-D-12-00119.1.
[33] LU X, YU H, YING M, et al. Western North Pacific tropical cyclone database created by the China Meteorological Administration[J]. Adv Atmos Sci, 2021, 38: 690-699, https://doi.org/10.1007/s00376-020-0211-7.
[34] China Meteorological Administration (CMA). GBT19201-2006, Grade of Tropic Cyclones[Z]. Beijing: China Standards Press, 2006.
[35] HERSBACH H, BELL B, BERRISFORD P, et al. The ERA5 global reanalysis[J]. Quart J Roy Meteorol Soc, 2020, 146: 1999-2049, https://doi.org/10.1002/qj.3803.
[36] LEE T, KNUTSON T R., NAKAEGAWA T, et al. Third assessment on impacts of climate change on tropical cyclones in the typhoon committee region-Part Ⅰ: observed changes, detection and attribution[J]. Tropical Cyclone Research and Review, 2020, 9(1): 1-22, https://doi.org/10.1016/j.tcrr.2020.03.001.
[37] ZHANG J, CHEN Y. Risk Assessment of flood disaster induced by typhoon rainstorms in Guangdong Province, China[J]. Sustainability, 2019, 11(10): 2738, https://doi.org/10.3390/su11102738.
[38] JIE Y, WU S, DAI E, et al. Assessment of economic damage risks from typhoon disasters in Guangdong, China[J]. J Resour Ecol, 2012, 3(2): 144-150, https://doi.org/10.5814/j.issn.1674-764x.2012.02.006.