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Strongly Nonlinear Effects on Determining Internal Solitary Wave Parameters From Surface Signatures With Potential for Remote Sensing Applications

Tao Xu, Xu Chen, Qun Li, Xiao He, Jing Wang, Jing Meng

2023Geophysical Research Letters15 citationsDOIOpen Access PDF

Abstract

Abstract The inversion of remote sensing signatures of internal solitary waves (ISWs) can retrieve dynamic characteristics in the ocean interior. However, the presence of ubiquitous large‐amplitude ISWs poses challenges to the commonly used weakly nonlinear methods for parameter retrieval. Through laboratory experiments, we establish a relationship between surface features and internal characteristics of ISWs by the remote sensing imaging mechanism. The results demonstrate that strong nonlinearity significantly influences the retrieval of ISWs, primarily manifested in the calculation of wave‐induced velocities and the applicability of ISW solutions. A fully nonlinear model Dubreil–Jacotin–Long equation is used in the retrieval and has been tested under different conditions. Mooring observations indicate that the determination of ISW parameters from satellite images is affected by the complexity of in situ stratification, but additional remote sensing information such as surface velocities enables us to perform retrievals even if the real‐time measurement of pycnocline depth is not available.

Topics & Concepts

PycnoclineMooringNonlinear systemInternal waveInversion (geology)GeologyStratification (seeds)Remote sensingOceanographyPhysicsSeismologyBiologyDormancyBotanyQuantum mechanicsSeed dormancyGerminationTectonicsOceanographic and Atmospheric ProcessesOcean Waves and Remote SensingCoastal and Marine Dynamics
Strongly Nonlinear Effects on Determining Internal Solitary Wave Parameters From Surface Signatures With Potential for Remote Sensing Applications | Litcius