Wind sea and swell discrimination in the outer Rio De La Plata Estuary, South Atlantic Ocean

IF 2.4 4区 环境科学与生态学 Q3 ECOLOGY Regional Studies in Marine Science Pub Date : 2025-04-01 Epub Date: 2025-02-16 DOI:10.1016/j.rsma.2025.104079
Alejandro Salimbeni , Guadalupe Alonso , Alexander Babanin , Walter Dragani
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Abstract

This study focuses on the comprehensive discrimination and characterization of wind-sea and swell dominating conditions in the outer Río de la Plata estuary (RDP). For that, time series of bulk wave parameters and wave spectra covering the period from 1996 to 2020 were analyzed. Results revealed that 57 % of the spectra exhibit double peaks indicating the prevalence of simultaneous wind-sea and swell events. To differentiate between wind-waves and swell cases, the Pierson–Moskowitz (PM) spectrum peak method was implemented. In this method, the ratio between the peak energy of a wave system and the energy of the PM spectrum with the same peak frequency is computed. If this ratio is greater than one, the wave system is categorized as wind-sea; otherwise, as swell. Later, a support vector network (SVM) classificator was applied to significant height (Hs) and peak period (Tp). Results indicate that a linear expression (Tp = 2.5 Hs + 3.3) optimally separates wind-sea and swell. The typical Hs were 1–2 m for wind-sea and 0.5–1 m for swell, with mean Tp values of 5.2 s and 10.5 s respectively. Wind-sea waves predominantly propagated from the E and S, while swell from the SE. Swell seasonality indicated the highest occurrence during the winter months and minimal occurrences during summer. Finally, the performance of the WAVERYS and IOWAGA products in predicting arrival times of swell at the RDP was evaluated. Both predicted an earlier arrival time for swell in over 70 % of the events. These results highlight the reliability of these global products in anticipating swell arrivals.
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南大西洋拉普拉塔河口外带的风海和浪涌判别
本文重点研究了Río de la Plata河口(RDP)外围风海和膨胀主导条件的综合判别和表征。为此,分析了1996 - 2020年期间的体波参数和波谱时间序列。结果表明,57% %的光谱呈现双峰,表明同时存在风-海和膨胀事件。为了区分风浪和涌浪,采用了Pierson-Moskowitz (PM)谱峰法。在这种方法中,计算一个波系的峰值能量与具有相同峰值频率的PM谱的能量之比。如果这个比值大于1,则波浪系统被归类为风-海;否则,也一样。然后,将支持向量网络(SVM)分类器应用于显著高度(Hs)和峰值时段(Tp)。结果表明,采用线性表达式(Tp = 2.5 Hs + 3.3)能较好地分离风-海-浪。典型的风海h值为1 ~ 2 m,浪涌h值为0.5 ~ 1 m,平均Tp值分别为5.2 s和10.5 s。风-海波主要从东、南方向传播,从东南方向膨胀。膨胀的季节特征表明,冬季发生最多,夏季发生最少。最后,对WAVERYS和iowa产品在预测RDP涌浪到达时间方面的性能进行了评估。两者都预测超过70% %的事件会提前到达。这些结果突出了这些全球产品在预测海浪到达方面的可靠性。
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来源期刊
Regional Studies in Marine Science
Regional Studies in Marine Science Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
3.90
自引率
4.80%
发文量
336
审稿时长
69 days
期刊介绍: REGIONAL STUDIES IN MARINE SCIENCE will publish scientifically sound papers on regional aspects of maritime and marine resources in estuaries, coastal zones, continental shelf, the seas and oceans.
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