Extreme storm surge hazard estimation in lower Manhattan

被引:0
|
作者
Lopeman, Madeleine [1 ]
Deodatis, George [2 ]
Franco, Guillermo [3 ]
机构
[1] Columbia Univ, New York, NY 10027 USA
[2] Columbia Univ, New York, NY 10027 USA
[3] Guy Carpenter & Co Ltd, London EC3R 5BU, England
关键词
Storm surge; Natural hazards; Extreme events; Peaks-over-threshold; Hurricane Sandy; Climate change; UNCERTAINTY; IMPACTS; WINDS; ORDER; TERM;
D O I
10.1007/s11069-015-1718-6
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The coastal destruction wreaked by Hurricane Sandy in 2012 prompted motivation to estimate the event's return period. The Clustered Separated Peaks-over-threshold Simulation (CSPS) method for estimating return periods uses a Monte Carlo simulation of storm surge activity based on statistics derived from tidal gauge data at the Battery, New York in lower Manhattan. The data are separated into three independent components (storm surge, tidal cycle and sea level rise) because different physical processes govern different components of water level. Peak storm surge heights are fit to the generalized Pareto distribution, chosen for its ability to fit a wide tail to limited data. The algorithm incorporates the evolution of storm surge over surge duration. The CSPS suggests that the return period of Hurricane Sandy's peak water level is 103 years (95% confidence interval 38-452 years), significantly lower than previously published return periods. The estimated 100-year water level is 5.23 m above the station datum (or 3.39 m above the North American Vertical Datum of 1988, or 3.45 m above mean sea level). With 1 m of sea level rise (holding all other climatological conditions constant), this water level would become the 28-year event. Although the method's exclusion of surge-tide interaction and its reliance on a 90-year tidal gauge time history may limit the reliability of high return period estimates, application of the CSPS method to lower Manhattan suggests that storm surge hazard in the New York Harbor has, until now, been underestimated.
引用
收藏
页码:355 / 391
页数:37
相关论文
共 50 条
  • [31] Modelling the Tracy storm surge - implications for storm structure and intensity estimation
    Harper, Bruce A.
    AUSTRALIAN METEOROLOGICAL AND OCEANOGRAPHIC JOURNAL, 2010, 60 (03): : 187 - 197
  • [32] Extreme Storm Surge Events and Associated Dynamics in the North Atlantic
    Barbot, Simon
    Pineau-Guillou, Lucia
    Delouis, Jean-Marc
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2024, 129 (08)
  • [33] A new approach to calculate extreme storm surges: analysing the interaction of storm surge components
    Goennert, G.
    Sossidi, K.
    COASTAL PROCESSES II, 2011, 149 : 139 - 150
  • [34] Impact of ENSO on dependence between extreme rainfall and storm surge
    Wu, Wenyan
    Leonard, Michael
    ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (12)
  • [35] Extreme prediction of storm surge elevation related to seasonal variation
    Dong, S
    Wei, Y
    Hao, XL
    Liu, DF
    PROCEEDINGS OF THE THIRTEENTH (2003) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 3, 2003, : 208 - 212
  • [36] Extreme value analysis of decadal variations in storm surge elevations
    Butler, Adam
    Heffernan, Janet E.
    Tawn, Jonathan A.
    Flather, Roger A.
    Horsburgh, Kevin J.
    JOURNAL OF MARINE SYSTEMS, 2007, 67 (1-2) : 189 - 200
  • [37] Extreme negative storm surge analysis in shallow water area
    Dong, Sheng
    Fu, Xinyu
    Sang, Song
    PROCEEDINGS OF THE SEVENTH (2006) ISOPE PACIFIC/ASIA OFFSHORE MECHANICS SYMPOSIUM (ISOPE PACOMES-2006), 2006, : 268 - +
  • [38] Storm surge characteristics and extreme parameters in the Chengshantou sea area
    Jin, Y. D.
    Zhao, X.
    Ma, L. N.
    3RD INTERNATIONAL CONFERENCE ON WATER RESOURCE AND ENVIRONMENT (WRE 2017), 2017, 82
  • [39] Use of oceanic reanalysis to improve estimates of extreme storm surge
    Zhai, L.I.
    Greenan, Blair
    Thomson, Richard
    Tinis, Scott
    Journal of Atmospheric and Oceanic Technology, 2019, 36 (11): : 2205 - 2219
  • [40] Use of Oceanic Reanalysis to Improve Estimates of Extreme Storm Surge
    Zhai, Li
    Greenan, Blair
    Thomson, Richard
    Tinis, Scott
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2019, 36 (11) : 2205 - 2219