Relative Contributions from Wind, Storm Surge, and Inland Flooding to Tropical Cyclone Damage from 1925 to 2000 in North Carolina

被引:0
作者
Hilderbrand, Douglas [1 ]
Xie, Lian [2 ]
机构
[1] NOAA, Natl Weather Serv, Anal Forecast & Support Off, 1325 East West Highway, Silver Spring, NC 27695 USA
[2] NC State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA
关键词
tropical cyclone; risk assessment; storm surge; inland flooding; storm damage; EXTRATROPICAL TRANSITION; UNITED-STATES; MODEL; PACIFIC;
D O I
10.3390/atmos16040451
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study analyzes the relative contributions from wind, storm surge, and inland flooding to tropical cyclone damage from 1925 to 2000 in North Carolina. It emphasizes the importance of regional tropical cyclone risk assessments, using North Carolina as a case study. A revised normalization method, incorporating housing data instead of population data, revealed more accurate property damage estimations. From 1940 to 2000, housing in coastal North Carolina grew by 780%, compared to a 370% population increase. Using this method, combined damages from 1954 to 1955 tropical storms would exceed USD 18 billion in year 2000 values, compared to USD 13 billion during 1996-1999. Flooding accounted for 40% of the tropical cyclone damage in North Carolina during the study period, exceeding national averages, with wind and storm surge contributing 35% and 25%, respectively. Rainfall analysis showed a weaker link to cyclone intensity. The catastrophic flooding from Hurricane Floyd in 1999 deposited approximately 17 km3 of water, surpassing roughly 13 km3 from Hurricane Fran (1996). While major hurricanes caused 83% of hurricane damage nationally during the study period, they contributed about 70% in North Carolina, with category-2 hurricanes adding 21.4%. These findings highlight the need to consider weaker cyclones, especially category-2 storms, in North Carolina regional hurricane risk management.
引用
收藏
页数:23
相关论文
共 50 条
[21]  
Harr PA, 2000, MON WEATHER REV, V128, P2613, DOI 10.1175/1520-0493(2000)128<2613:ETOTCO>2.0.CO
[22]  
2
[23]  
Hilderband D.C., 2002, Masters Thesis
[24]   Inland Flooding and Rainfall from Hurricane Irene and Tropical Storm Lee (2011): Coupled Atmosphere-Wave-Ocean Model Simulations and Remote Sensing and In Situ Observations with a Machine Learning Tool [J].
Kerns, Randon W. ;
Chen, Shuyi S. .
WEATHER AND FORECASTING, 2023, 38 (05) :677-697
[25]  
Klein PM, 2000, WEATHER FORECAST, V15, P373, DOI 10.1175/1520-0434(2000)015<0373:ETOWNP>2.0.CO
[26]  
2
[27]   Atlantic Hurricane Database Uncertainty and Presentation of a New Database Format [J].
Landsea, Christopher W. ;
Franklin, James L. .
MONTHLY WEATHER REVIEW, 2013, 141 (10) :3576-3592
[28]   Causes of large projected increases in hurricane precipitation rates with global warming [J].
Liu, Maofeng ;
Vecchi, Gabriel A. ;
Smith, James A. ;
Knutson, Thomas R. .
NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2019, 2 (1)
[29]   A parametric model for predicting hurricane rainfall [J].
Lonfat, Manuel ;
Rogers, Robert ;
Marchok, Timothy ;
Marks, Frank D., Jr. .
MONTHLY WEATHER REVIEW, 2007, 135 (09) :3086-3097
[30]   Assessing Hurricane Rainfall Mechanisms Using a Physics-Based Model: Hurricanes Isabel (2003) and Irene (2011) [J].
Lu, Ping ;
Lin, Ning ;
Emanuel, Kerry ;
Chavas, Daniel ;
Smith, James .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2018, 75 (07) :2337-2358