Preprints
https://doi.org/10.5194/egusphere-2026-4336
https://doi.org/10.5194/egusphere-2026-4336
18 Aug 2026
 | 18 Aug 2026
Status: this preprint is open for discussion and under review for Nonlinear Processes in Geophysics (NPG).

A monthly-climatological parameterization of the surface leading-crestline morphology for internal solitary waves in the northeastern South China Sea

Yanze Yin, Yankun Gong, and Xu Wang

Abstract. Internal solitary waves (ISWs) in the northern South China Sea are among the most energetic worldwide, and ISWs can cause severe impacts on offshore platforms and underwater operations; rapid forecasting of the propagation process of ISWs is therefore a practical need in ocean engineering. In the actual ocean, the leading-crestline morphology at the ocean surface often provides a general indication of the propagation and evolution of the underlying internal wave. This study develops a parametric representation of surface-expressed leading-crestline morphology for the east-of-Dongsha segment of the Luzon Strait–Dongsha corridor. Specifically, leading crestlines are extracted from sea-surface-height-gradient (SSHG) fields of nonhydrostatic MITgcm simulations forced by World Ocean Atlas 2018 monthly stratification, using Canny edge detection and density-based clustering. The analysis results indicate that, under the assumption of monthly climatological stratification, the crestlines binned by their along-corridor location cluster around a common, location-dependent propagation morphology that is represented by cubic polynomial curves and summarized in monthly coefficient tables. Evaluated against independent satellite-derived crestlines, the representative curves achieve a mean root-mean-square error (RMSE) of approximately 0.01° in longitude and a mean of 0.870. Consequently, by analyzing the monthly average climate-state leading-crestline morphology across different months of the year, we can identify the key characteristics of internal wave propagation in the northeastern South China Sea.

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Yanze Yin, Yankun Gong, and Xu Wang

Status: open (until 13 Oct 2026)

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Yanze Yin, Yankun Gong, and Xu Wang
Yanze Yin, Yankun Gong, and Xu Wang
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Short summary
For the South China Sea's internal solitary waves, we adopt a monthly-average assumption for the ocean's density layering. From simulations under this assumption, we use image recognition to trace leading crestlines at the sea surface. We find that, each month, crestlines passing the same region share one repeatable shape; we turn them into formula tables for all twelve months. Checked against 22 years of satellite images, they match observations to about a kilometer, enabling quick prediction.
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