2022Journal of Geophysical Research OceansRequires access

Investigation of Wave Height Distributions and Characteristic Wave Periods in Coastal Environments

Jemerson P. James, Vijay Panchang

Open publisher page 14 citations

Abstract

Abstract The short‐term statistics of wave conditions in coastal waters around the United Kingdom have been investigated using over 40,000 half‐hour long sea state records with significant wave height greater than 3 m. The extensive data set facilitates an assessment of various wave height and period distribution models in shallow and intermediate waters. The results reveal that the relative wave height Hs/D (where Hs is the significant wave height and D the water depth) can serve as a key indicator in choosing the distribution with least error in a given sea state. The Naess model is found to be the most accurate in describing the tail of the wave height distribution in a sea state for low relative wave heights (Hs/D < 0.2), and the depth‐dependent van Vledder model for high relative heights (Hs/D > 0.4). In between these sea states, a transition in the performance of the deep‐water and the depth‐dependent models is visible. When details of the spectrum are not available, the Weibull distribution is the most accurate amongst applicable models, in spite of considerable variability in its parameter values. While the spectral bandwidth appears to have minimal impact on the distribution of wave heights in a sea state, it does appear to influence the relationship between characteristic wave periods. Based on measurements, these are found to deviate from empirical relationships proposed, for example, by the US Army Coastal Engineering Manual. Improved formulas that incorporate the spectral width are therefore proposed.

About this research paper

What this paper is about

Abstract The short‐term statistics of wave conditions in coastal waters around the United Kingdom have been investigated using over 40,000 half‐hour long sea state records with significant wave height greater than 3 m. The extensive data set facilitates an assessment of various wave height and period distribution models in shallow and intermediate waters. The results reveal that the relative wave height Hs/D (where Hs is the significant wave height and D the water depth) can serve as a key indicator in choosing the distribution with least error in a given sea state. The Naess model is found to be the most accurate in describing the tail of the wave height distribution in a sea state for low relative wave heights (Hs/D < 0.2), and the depth‐dependent van Vledder model for high relative heights (Hs/D > 0.4). In between these sea states, a transition in the performance of the deep‐water and the depth‐dependent models is visible. When details of the spectrum are not available, the Weibull distribution is the most accurate amongst applicable models, in spite of considerable variability in its parameter values. While the spectral bandwidth appears to have minimal impact on the distribution of wave heights in a sea state, it does appear to influence the relationship between characteristic wave periods. Based on measurements, these are found to deviate from empirical relationships proposed, for example, by the US Army Coastal Engineering Manual. Improved formulas that incorporate the spectral width are therefore proposed.

Why it matters

OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract The short‐term statistics of wave conditions in coastal waters around the United Kingdom have been investigated using over 40,000 half‐hour long sea state records with significant wave height greater than 3 m. The extensive data set facilitates an assessment of various wave height and period distribution models in shallow and intermediate waters. The results reveal that the relative wave height Hs/D (where Hs is the significant wave height and D the water depth) can serve as a key indicator in choosing the distribution with least error in a given sea state. The Naess model is found to be the most accurate in describing the tail of the wave height distribution in a sea state for low relative wave heights (Hs/D < 0.2), and the depth‐dependent van Vledder model for high relative heights (Hs/D > 0.4). In between these sea states, a transition in the performance of the deep‐water and the depth‐dependent models is visible. When details of the spectrum are not available, the Weibull distribution is the most accurate amongst applicable models, in spite of considerable variability in its parameter values. While the spectral bandwidth appears to have minimal impact on the distribution of wave heights in a sea state, it does appear to influence the relationship between characteristic wave periods. Based on measurements, these are found to deviate from empirical relationships proposed, for example, by the US Army Coastal Engineering Manual. Improved formulas that incorporate the spectral width are therefore proposed.

Key concepts: Significant wave height, Sea state, Wave height, Weibull distribution, Wind wave, Meteorology, Distribution (mathematics), Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Investigation of Wave Height Distributions and Characteristic Wave Periods in Coastal Environments — Research Paper | ScholarLens