Storm Surge Time Series De-Clustering Using Correlation Analysis

26 Pages Posted: 24 Jan 2024

See all articles by Ariadna Martín

Ariadna Martín

affiliation not provided to SSRN

Thomas Wahl

University of Central Florida

Alejandra Rodriguez Enriquez

University of Central Florida

Robert Jane

affiliation not provided to SSRN

Abstract

The extraction of individual events from continuous time series is a common challenge in many extreme value studies. In the field of environmental science, various methods and algorithms for event identification (de-clustering) have been applied in the past. The distinctive features of extreme events, such as their temporal evolutions, durations, and inter-arrival times, vary significantly from one location to another making it difficult to identify independent events in the series. In this study, we propose a new automated approach to detect independent storm surge events by identifying the typical storm durations across locations using inter-event correlations. To account for the inherent variability at a given site, we incorporate the standard deviation of the event duration through a soft-margin approach. We apply the method to 1,485 tide gauge records from across the global coast to gain new insights into the typical durations of independent storm surges along different coastline stretches. The results highlight the effects of both local characteristics at a given tide gauge and seasonality on the derived storm durations. Additionally, we compare the results obtained with other commonly used de-clustering techniques showing that these methods are more sensitive to the chosen threshold.

Keywords: de-clustering, time series, independent events, storm surge

Suggested Citation

Martín, Ariadna and Wahl, Thomas and Rodriguez Enriquez, Alejandra and Jane, Robert, Storm Surge Time Series De-Clustering Using Correlation Analysis. Available at SSRN: https://ssrn.com/abstract=4705462 or http://dx.doi.org/10.2139/ssrn.4705462

Ariadna Martín (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Thomas Wahl

University of Central Florida ( email )

4000 Central Florida Blvd
Orlando, FL 32816-1400
United States

Alejandra Rodriguez Enriquez

University of Central Florida ( email )

Robert Jane

affiliation not provided to SSRN ( email )

No Address Available

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