{"title":"美国东部和墨西哥湾沿岸的波科气候学","authors":"Maria Venolia, Reza Marsooli","doi":"10.1016/j.apor.2025.104593","DOIUrl":null,"url":null,"abstract":"<div><div>The dynamic complexity of the sea surface, characterized by the simultaneous presence of multiple wave systems, necessitates a detailed analysis beyond the scope of traditional integrated bulk wave parameters, which, in the case of multimodal seas, can provide inaccurate information. This research leverages spectral techniques to identify wave system populations - referred to as wave families - in order to investigate wave climatology along the U.S. East and Gulf coasts. Utilizing in-situ directional spectral buoy measurements from NOAA's National Data Buoy Center, the frequency-direction wave spectra are constructed using the maximum entropy method. The wave spectra are then partitioned into wave systems using the watershed algorithm, enabling the generation of the occurrence distribution of the spectral partitions’ peak energy density. The occurrence distribution at each buoy location is further partitioned to identify predominant wave families, each one with unique meteorological and geographical origins. Our analysis presents notable spatiotemporal variability in wave family characteristics, such as wave family significant wave height, wave period, and directional range, across different buoy locations and seasons, thus accentuating the complexity of wind-generated waves and their potential implications on coastal dynamics.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"158 ","pages":"Article 104593"},"PeriodicalIF":4.3000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wave family climatology of the U.S. East and Gulf Coasts\",\"authors\":\"Maria Venolia, Reza Marsooli\",\"doi\":\"10.1016/j.apor.2025.104593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The dynamic complexity of the sea surface, characterized by the simultaneous presence of multiple wave systems, necessitates a detailed analysis beyond the scope of traditional integrated bulk wave parameters, which, in the case of multimodal seas, can provide inaccurate information. This research leverages spectral techniques to identify wave system populations - referred to as wave families - in order to investigate wave climatology along the U.S. East and Gulf coasts. Utilizing in-situ directional spectral buoy measurements from NOAA's National Data Buoy Center, the frequency-direction wave spectra are constructed using the maximum entropy method. The wave spectra are then partitioned into wave systems using the watershed algorithm, enabling the generation of the occurrence distribution of the spectral partitions’ peak energy density. The occurrence distribution at each buoy location is further partitioned to identify predominant wave families, each one with unique meteorological and geographical origins. Our analysis presents notable spatiotemporal variability in wave family characteristics, such as wave family significant wave height, wave period, and directional range, across different buoy locations and seasons, thus accentuating the complexity of wind-generated waves and their potential implications on coastal dynamics.</div></div>\",\"PeriodicalId\":8261,\"journal\":{\"name\":\"Applied Ocean Research\",\"volume\":\"158 \",\"pages\":\"Article 104593\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Ocean Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0141118725001804\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, OCEAN\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Ocean Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0141118725001804","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, OCEAN","Score":null,"Total":0}
Wave family climatology of the U.S. East and Gulf Coasts
The dynamic complexity of the sea surface, characterized by the simultaneous presence of multiple wave systems, necessitates a detailed analysis beyond the scope of traditional integrated bulk wave parameters, which, in the case of multimodal seas, can provide inaccurate information. This research leverages spectral techniques to identify wave system populations - referred to as wave families - in order to investigate wave climatology along the U.S. East and Gulf coasts. Utilizing in-situ directional spectral buoy measurements from NOAA's National Data Buoy Center, the frequency-direction wave spectra are constructed using the maximum entropy method. The wave spectra are then partitioned into wave systems using the watershed algorithm, enabling the generation of the occurrence distribution of the spectral partitions’ peak energy density. The occurrence distribution at each buoy location is further partitioned to identify predominant wave families, each one with unique meteorological and geographical origins. Our analysis presents notable spatiotemporal variability in wave family characteristics, such as wave family significant wave height, wave period, and directional range, across different buoy locations and seasons, thus accentuating the complexity of wind-generated waves and their potential implications on coastal dynamics.
期刊介绍:
The aim of Applied Ocean Research is to encourage the submission of papers that advance the state of knowledge in a range of topics relevant to ocean engineering.