Characterization of internal solitary waves in the Andaman Sea and Arabian Sea using EOS-04 and sentinel observations

地质学 波长 海洋学 内波 合成孔径雷达 大陆架 Korteweg–de Vries方程 卫星 大地测量学 遥感 物理 光学 天文 量子力学 非线性系统
作者
Anup Kumar Mandal,M. Seemanth,R. Ratheesh
出处
期刊:International Journal of Remote Sensing [Taylor & Francis]
卷期号:45 (4): 1201-1219 被引量:1
标识
DOI:10.1080/01431161.2024.2307322
摘要

In this study, we synergistically used Synthetic Aperture Radar (SAR) and optical observations to characterize the Internal Solitary Waves (ISW) in the Andaman Sea and Arabian Sea region. Total 25 scenes combined from EOS-04, Sentinel-1&2 satellites are considered for the year 2022. Various approaches, including Fast Fourier Transform (FFT), Multiple Image Comparison (MIC), Tidal Time Period (TTP) and Korteweg-de Vries (KdV) equations, were employed to characterize the ISW, and its spatial and seasonal variations are also analysed. The dominant wavelength of ISW over the Andaman Sea in June 2022 is found to be 6500 m travelling towards the Andaman coast. The overall phase speed of ISW in the Andaman Sea lies in the range of 1.87–2.60 ms−1. It shows a seasonal variation of around 16% between winter and summer months, where a significant variation in the seasonal mixed layer depth was noticed. The phase speed also decreased as the ISW travelled from deep water to shallower regions. In contrast, the dominant wavelength of ISW in the continental shelf region of the west coast of India (near Goa) was much smaller (~400 m) compared to the Andaman Sea. Here, the ISW phase speed estimated using MIC and TTP methods was ~ 0.56 ms−1 in February 2022. The KdV equation yielded lower estimates of phase speed compared to the other two methods. The use of multiple satellite images and various approaches possess an advantage in comprehending the spatial and temporal variations in the characteristic features of ISW.

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