Investigating the Joint Probability of High Coastal Sea Level and High Precipitation-Reference-Cited by-同舟云学术

Investigating the Joint Probability of High Coastal Sea Level and High Precipitation

Published:2024-03-21 Issue:3 Volume:12 Page:519
ISSN:2077-1312
Container-title:Journal of Marine Science and Engineering
language:en
Short-container-title:JMSE

Author:

Pais Namitha Viona¹^ORCID,O’Donnell James²^ORCID,Ravishanker Nalini¹

Affiliation:

1. Department of Statistics, University of Connecticut, Storrs, CT 06269, USA

2. Connecticut Institute for Resilience and Climate Adaptation, Department of Marine Sciences, University of Connecticut, Groton, CT 06340, USA

Abstract

The design strategies for flood risk reduction in coastal towns must be informed by the likelihood of flooding resulting from both precipitation and coastal storm surge. This paper discusses various bivariate extreme value methods to investigate the joint probability of the exceedance of thresholds in both precipitation and sea level and estimate their dependence structure. We present the results of the dependence structure obtained using the observational record at Bridgeport, CT, a station with long data records representative of coastal Connecticut. Furthermore, we evaluate the dependence structure after removing the effects of harmonics in the sea level data. Through this comprehensive analysis, our study seeks to contribute to the understanding of the joint occurrence of sea level and precipitation extremes, providing insights that are crucial for effective coastal management.

Funder

Connecticut Institute for Resilience and Climate Adaptation

United States Department of Housing and Urban Development through the Community Block Grant National Disaster Recovery Program

Publisher

MDPI AG

Link

https://www.mdpi.com/2077-1312/12/3/519/pdf

Reference56 articles.

1. Impacts of Climate Change on Coastal Flooding;Donovan;MCCIP Sci. Rev.,2013

2. Kekeh, M., Akpinar-Elci, M., and Allen, M.J. (2020). Extreme Weather Events and Human Health: International Case Studies, Springer.

3. Brown, S., Nicholls, R.J., Woodroffe, C.D., Hanson, S., Hinkel, J., Kebede, A.S., Neumann, B., and Vafeidis, A.T. (2013). Coastal Hazards, Springer.

4. Crimmins, A., Avery, C., Easterling, D., Kunkel, K., Stewart, B., and Maycock, T. (2023). Ch. 1. Overview: Understanding risks, impacts, and responses, Fifth National Climate Assessment.

5. Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values, Springer. [1st ed.].