Predicting Major Storm Surge Levels

The National Atmospheric and Oceanic Administration (NOAA) calculates the surge probability distribution along the coast from their long-term tidal stations. This process is sufficient for predicting the surge from common storms but tends to underestimate large surges. Across 23 long-term tidal stat...

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Main Author: Robert Mendelsohn
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/12/6/756
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author Robert Mendelsohn
author_facet Robert Mendelsohn
author_sort Robert Mendelsohn
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description The National Atmospheric and Oceanic Administration (NOAA) calculates the surge probability distribution along the coast from their long-term tidal stations. This process is sufficient for predicting the surge from common storms but tends to underestimate large surges. Across 23 long-term tidal stations along the East Coast of the United States, 100-year surges were observed 49 times, although they should have occurred only 23 times. We hypothesize that these 100-year surges are not the tail outcome from common storms but are actually caused by major hurricanes. Matching these 100-year surges with major hurricanes revealed that major hurricanes caused 43 of the 49 surges. We consequently suggest a revised approach to estimating the surge probability distribution. We used tidal data to estimate the probability of common surges but analyzed major hurricane surges separately, using the return rate of major hurricanes and the observed surge from each major hurricane to predict hurricane surges. The revision reveals that expected coastal flooding damage is higher than we thought, especially in the southeast United States.
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spelling doaj.art-17c4d2434cb1468c9a11f8d30e01d5a92023-11-21T23:37:45ZengMDPI AGAtmosphere2073-44332021-06-0112675610.3390/atmos12060756Predicting Major Storm Surge LevelsRobert Mendelsohn0Yale School of the Environment, 195 Prospect Street, New Haven, CT 06511, USAThe National Atmospheric and Oceanic Administration (NOAA) calculates the surge probability distribution along the coast from their long-term tidal stations. This process is sufficient for predicting the surge from common storms but tends to underestimate large surges. Across 23 long-term tidal stations along the East Coast of the United States, 100-year surges were observed 49 times, although they should have occurred only 23 times. We hypothesize that these 100-year surges are not the tail outcome from common storms but are actually caused by major hurricanes. Matching these 100-year surges with major hurricanes revealed that major hurricanes caused 43 of the 49 surges. We consequently suggest a revised approach to estimating the surge probability distribution. We used tidal data to estimate the probability of common surges but analyzed major hurricane surges separately, using the return rate of major hurricanes and the observed surge from each major hurricane to predict hurricane surges. The revision reveals that expected coastal flooding damage is higher than we thought, especially in the southeast United States.https://www.mdpi.com/2073-4433/12/6/756surge probability distributiontropical cyclonescoastal flooding
spellingShingle Robert Mendelsohn
Predicting Major Storm Surge Levels
Atmosphere
surge probability distribution
tropical cyclones
coastal flooding
title Predicting Major Storm Surge Levels
title_full Predicting Major Storm Surge Levels
title_fullStr Predicting Major Storm Surge Levels
title_full_unstemmed Predicting Major Storm Surge Levels
title_short Predicting Major Storm Surge Levels
title_sort predicting major storm surge levels
topic surge probability distribution
tropical cyclones
coastal flooding
url https://www.mdpi.com/2073-4433/12/6/756
work_keys_str_mv AT robertmendelsohn predictingmajorstormsurgelevels