Historical change and variability of spectral wind wave climate in the New York Bight

Abstract The sea surface is a complex superposition of various wave systems, thus, analysing their characteristics provides more meaningful and accurate information compared to conventional integrated wave parameter approaches. The concept of wave family—a population of wave systems within a specifi...

Full description

Bibliographic Details
Published in:International Journal of Climatology
Main Authors: Venolia, Maria, Marsooli, Reza, Portilla‐Yandún, Jesus
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2024
Subjects:
Online Access:http://dx.doi.org/10.1002/joc.8408
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.8408
id crwiley:10.1002/joc.8408
record_format openpolar
spelling crwiley:10.1002/joc.8408 2024-06-02T08:11:32+00:00 Historical change and variability of spectral wind wave climate in the New York Bight Venolia, Maria Marsooli, Reza Portilla‐Yandún, Jesus 2024 http://dx.doi.org/10.1002/joc.8408 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.8408 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 44, issue 5, page 1739-1757 ISSN 0899-8418 1097-0088 journal-article 2024 crwiley https://doi.org/10.1002/joc.8408 2024-05-03T11:10:56Z Abstract The sea surface is a complex superposition of various wave systems, thus, analysing their characteristics provides more meaningful and accurate information compared to conventional integrated wave parameter approaches. The concept of wave family—a population of wave systems within a specific region in spectral space—provides the foundation for investigating the long‐term climatology of wave systems. This study adopts a wave family approach to investigate the climatology of wave systems and their long‐term climate controllers at the location of a coastal buoy in the western North Atlantic Ocean. The frequency‐direction wave spectrum is constructed for a historical 20‐year period by applying the Maximum Entropy Method on directional buoy measurements acquired from the National Data Buoy Center station 44025, located in the New York Bight. The two‐dimensional wave spectrum is partitioned, using the watershed partitioning algorithm, and the occurrence distribution of spectral partitions is calculated to identify predominant wave families. Each of the four identified wave families carries unique characteristics based on spatial formation and duration of propagation prior to arrival at the study site. The study quantifies long‐term trends and variability in wave height of each wave family on a monthly, seasonal and annual level, and their relative importance to the bulk sea‐state climatology. The nexus between the bulk or wave family seasonal wave heights and the climate indices is quantified to identify the wave climate controllers in the study area. Article in Journal/Newspaper North Atlantic Wiley Online Library International Journal of Climatology
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract The sea surface is a complex superposition of various wave systems, thus, analysing their characteristics provides more meaningful and accurate information compared to conventional integrated wave parameter approaches. The concept of wave family—a population of wave systems within a specific region in spectral space—provides the foundation for investigating the long‐term climatology of wave systems. This study adopts a wave family approach to investigate the climatology of wave systems and their long‐term climate controllers at the location of a coastal buoy in the western North Atlantic Ocean. The frequency‐direction wave spectrum is constructed for a historical 20‐year period by applying the Maximum Entropy Method on directional buoy measurements acquired from the National Data Buoy Center station 44025, located in the New York Bight. The two‐dimensional wave spectrum is partitioned, using the watershed partitioning algorithm, and the occurrence distribution of spectral partitions is calculated to identify predominant wave families. Each of the four identified wave families carries unique characteristics based on spatial formation and duration of propagation prior to arrival at the study site. The study quantifies long‐term trends and variability in wave height of each wave family on a monthly, seasonal and annual level, and their relative importance to the bulk sea‐state climatology. The nexus between the bulk or wave family seasonal wave heights and the climate indices is quantified to identify the wave climate controllers in the study area.
format Article in Journal/Newspaper
author Venolia, Maria
Marsooli, Reza
Portilla‐Yandún, Jesus
spellingShingle Venolia, Maria
Marsooli, Reza
Portilla‐Yandún, Jesus
Historical change and variability of spectral wind wave climate in the New York Bight
author_facet Venolia, Maria
Marsooli, Reza
Portilla‐Yandún, Jesus
author_sort Venolia, Maria
title Historical change and variability of spectral wind wave climate in the New York Bight
title_short Historical change and variability of spectral wind wave climate in the New York Bight
title_full Historical change and variability of spectral wind wave climate in the New York Bight
title_fullStr Historical change and variability of spectral wind wave climate in the New York Bight
title_full_unstemmed Historical change and variability of spectral wind wave climate in the New York Bight
title_sort historical change and variability of spectral wind wave climate in the new york bight
publisher Wiley
publishDate 2024
url http://dx.doi.org/10.1002/joc.8408
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.8408
genre North Atlantic
genre_facet North Atlantic
op_source International Journal of Climatology
volume 44, issue 5, page 1739-1757
ISSN 0899-8418 1097-0088
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/joc.8408
container_title International Journal of Climatology
_version_ 1800757717380366336