Estimation of the compound hazard severity of tropical cyclones over coastal China during 1949–2011 with copula function

Bell GD, Halpert MS, Schnell RC, Higgins RW, Lawrimore J, Kousky VE, Tinker R, Thiaw W, Chelliah M, Artusa A (2000) Climate Assessment for 1999. Bull Am Meteor Soc 81:s1–s50

Brunner MI, Seibert J, Favre AC (2016) Bivariate return periods and their importance for flood peak and volume estimation. Wiley Interdiscip Rev Water 3(6):819–833

CMA (China Meteorological Administration) (1972–1989) Yearbook of Typhoon 1971–1988. China Meteorological Press, Beijing (in Chinese)

CMA (China Meteorological Administration) (1986–2011) China meteorological disaster yearbook 1985–2010. China Meteorological Press, Beijing (in Chinese)

CMA (China Meteorological Administration) (1990–2012) Yearbook of Tropical Cyclone 1989–2011. China Meteorological Press, Beijing (in Chinese)

CMA (China Meteorological Administration) (2006) Grade of Tropical Cyclones, GB/T 19201–2006. Standards Press of China, Beijing

Corbella S, Stretch DD (2012) Multivariate return periods of sea storms for coastal erosion risk assessment. Nat Hazards Earth Syst Sci 12(8):2699–2708

De Michele C, Salvadori G (2003) A generalized Pareto intensity–duration model of storm rainfall exploiting 2-copulas. J Geophys Res Atmos 108:D2

Dong Sheng, Jiao Chun-Shuo, Tao Shan-Shan (2017) Joint return probability analysis of wind speed and rainfall intensity in typhoon-affected sea area. Nat Hazards 86(3):1193–1205

Emanuel Kerry (2005) Increasing destructiveness of tropical cyclones over the past 30 years. Nature 436(7051):686–688

Favre AC, El Adlouni S, Perreault L, Thiémonge N, Bobée B (2004) Multivariate hydrological frequency analysis using copulas. Water Resour Res 40:1

Grimaldi Salvatore, Serinaldi Francesco (2006) Asymmetric copula in multivariate flood frequency analysis. Adv Water Resour 29(8):1155–1167

Gumbel Emil Julius (1941) The return period of flood flows. Ann Math Stat 12(2):163–190

Holland G J, Done J, NCAR Regional Climate Research Group (2011) A global index for tropical cyclone damage potential. In: AGU Fall Meeting Abstracts

Joe H (1997) Multivariate models and multivariate dependence concepts. CRC Press

Kantha Lakshmi (2006) Time to replace the Saffir-Simpson hurricane scale? Eos, Trans Am Geophys Un 87(1):3–6

Li N, Gu X, Liu X (2013a) Return period analysis based on joint distribution of three hazards in dust storm disaster. Adv Earth Sci 28(004):490–496 (in Chinese)

Li N, Liu X, Xie W, Wu J, Zhang P (2013b) The return period analysis of natural disasters with statistical modeling of bivariate joint probability distribution. Risk Anal 33(1):134–145

Ming X, Xu W, Li Y, Du J, Liu B, Shi P (2015) Quantitative multi-hazard risk assessment with vulnerability surface and hazard joint return period. Stoch Environ Res Risk Assess 29(1):35–44

NBS (National Bureau of Statistics) (1986–2001) China Statistical Yearbook 1986–2001. China Statistics Press, Beijing (in Chinese)

NBS (National Bureau of Statistics) (2010) China Compendium of Statistics 1949–2008. China Statistics Press, Beijing (in Chinese)

NBS (National Bureau of Statistics) (2013) China Statistical Yearbook 2013. China Statistics Press, Beijing (in Chinese)

NBS (National Bureau of Statistics) (2014) China Statistical Yearbook 2014. China Statistics Press, Beijing (in Chinese)

Pielke RA Jr, Landsea CW (1998) Normalized hurricane damages in the United States: 1925–95. Weather Forecast 13(3):621–631

Pielke RA Jr, Gratz J, Landsea CW, Collins D, Saunders MA, Musulin R (2008) Normalized hurricane damage in the United States: 1900–2005. Nat Hazards Rev 9(1):29–42

Powell Mark D, Reinhold Timothy A (2007) Tropical cyclone destructive potential by integrated kinetic energy. Bull Am Meteor Soc 88(4):513–526

Shiau JT (2003) Return period of bivariate distributed extreme hydrological events. Stoch Environ Res Risk Assess 17(1):42–57

Shiau JT (2006) Fitting drought duration and severity with two-dimensional copulas. Water Resour Manage 20(5):795–815

Shiau JT, Modarres R (2009) Copula-based drought severity-duration-frequency analysis in Iran. Meteorol Appl 16(4):481–489

Shiau JT, Feng S, Nadarajah S (2007) Assessment of hydrological droughts for the Yellow River, China, using copulas. Hydrol Process 21(16):2157–2163

Si Y (1998) The World’s most catastrophic dam failures. Qing (1998a), 25–38

Sraj M, Bezak N, Brilly M (2015) Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River. Hydrol Process 29(2):225–238

Trepanier JC, Needham HF, Elsner JB, Jagger TH (2015) Combining surge and wind risk from hurricanes using a copula model: an example from Galveston, Texas. Prof Geogr 67(1):52–61

Um MJ, Joo K, Nam W, Heo JH (2017) A comparative study to determine the optimal copula model for the wind speed and precipitation of typhoons. Int J Climatol 37(4):2051–2062

Wu ZK, Zhao L, Ge YJ (2010) Statistical analysis of wind velocity and rainfall intensity joint probability distribution of Shanghai area in typhoon condition. Acta Aerodynamica Sinica 28(4):393–399

Ying M, Zhang W, Yu H, Lu X, Feng J, Fan Y et al (2014) An overview of the China Meteorological Administration tropical cyclone database. J Atmos Oceanic Technol 31(2):287–301