Analysis of Hurricane Extremes

A special issue of Climate (ISSN 2225-1154).

Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 2151

Special Issue Editor


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Guest Editor
Department of Mathematics and Statistics, Florida International University, Miami, FL, USA
Interests: hurricane extremes; tropical cyclone

Special Issue Information

Dear Colleagues,

Today, we are inundated with news about extreme weather events, and we are often living through some of them: record-breaking heat waves in Europe, devastating wild fires in the western United States, drought, catastrophic flooding in Europe and Pakistan, earthquakes, and extreme cold. Not too long ago, such catastrophic events were only seen in the movies. Who does not remember the movie, An Inconvenient Truth, based on Vice President Al Gore’s efforts to educate the world about the potential devastation that climate change and global warming could cause in the future? This was followed by movies such as the Contagion in 2011, which is about a pandemic, and Interstellar, about human beings living in a dust bowl caused by years of disregard for the environment. We were entertained by these last two movies and certainly did not think we would ever see such events in our lifetime. Unfortunately, we have been proven horribly wrong, and it seems that these days, we are living in a natural disaster movie. The COVID pandemic made its worldwide debut in 2020, claimed over 6 million lives, and still continues to cause disruptions. Other disasters soon followed, and in 2020, record-breaking wildfires, hurricanes, and flooding occurred, which accounted for at least USD 1 billion in damage in the US (https://www.scientificamerican.com/article/a-running-list-of-record-breaking-natural-disasters-in-2020/).

The trend continued in 2021 and 2022. The emergency event database EM-DAT recorded 432 catastrophic natural disasters worldwide ((https://reliefweb.int/report/world/2021-disasters-numbers). Examples include (but are not limited to) severe flooding in China, India, and Europe, tropical cyclones in Indonesia and the Philippines, and devastating winter storms in the United States. This year seems even worse. Europe saw record-breaking heat this summer, the US west coast is once again struggling with drought, and Pakistan was devastated by floods.  

It is clear that extreme events come with enormous financial and human costs. To protect us from financial hardships caused by these events, we purchase insurance. Insurance companies then take out reinsurance to protect themselves and must have sufficient reserves to ensure solvency.  This is especially true when it comes to insuring against hurricanes. In recent years, the losses from hurricanes on the east coast of the US have tended to be catastrophic.  Hurricane Katrina in 2005 remains the costliest hurricane (https://www.iii.org/fact-statistic/facts-statistics-hurricanes) on record, with damages estimated to have been over USD 89 billion (CPI-adjusted for 2021), but recent hurricanes have caused significant damage as well. Examples include Hurricane Ida in 2021 at USD 36 billion, Hurricane Maria in 2017 at USD 32.4 billion (2021 CPI-adjusted) and Hurricane Harvey in 2017 at USD 33.1 billion (CPI-adjusted). As a result, interest in estimating and predicting hurricane losses (both average and extreme) has been rising. The scientific literature is rife with papers regarding the prediction and estimation of hurricane losses; however, these are scattered in different journals. This Special Issue is an attempt to bridge this gap and gather recent groundbreaking work regarding the analysis if extreme hurricane losses in one place.

Prof. Dr. Sneh Gulati
Guest Editor

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Keywords

  • hurricane extremes
  • tropical cyclone
  • extreme weather events

Published Papers (1 paper)

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Research

17 pages, 4346 KiB  
Article
Residential Wind Loss Mitigation Case Study: An Analysis of Insurance Claim Data for Hurricane Michael
by Aneurin Grant and Christopher L. Atkinson
Climate 2023, 11(12), 237; https://doi.org/10.3390/cli11120237 - 04 Dec 2023
Viewed by 1787
Abstract
This study analyzes insurance claim data from an 11-county area in the Florida Panhandle following the landfall of Hurricane Michael. The data includes 1467 non-mobile home structures, with 902 (61.5%) storm-damaged structures in Bay County. The analysis focuses on Wind Mitigation form 1802. [...] Read more.
This study analyzes insurance claim data from an 11-county area in the Florida Panhandle following the landfall of Hurricane Michael. The data includes 1467 non-mobile home structures, with 902 (61.5%) storm-damaged structures in Bay County. The analysis focuses on Wind Mitigation form 1802. Specifically, building design variables were analyzed via linear regression as to their influence on the percent claim loss. The building design variables included total square footage, dwelling construction type, age of the building, roof type, roof cover type, roof deck attachment type, roof to wall attachment, the presence of secondary water resistance (or sealed roof deck), opening protection type, and roof shape. Results show that building design variables for insurance claims have a high predictive value relative to a Category 5 hurricane event. However, the predictive values of building design variables are also dependent on the dwelling’s proximity to the coast, its location relative to the strong or weak side of the storm, the diameter of the storm, and other wind field variables. Full article
(This article belongs to the Special Issue Analysis of Hurricane Extremes)
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