

FOLLOWUS
1.Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
2.Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang 571333, China
3.International Research Center of Big Earth Data for Sustainable Development Goals, Beijing 100094, China
4.School of Meteorology and Oceanography, National University of Defense Technology, Changsha 410015, China
5.University of Chinese Academy of Sciences, Beijing 100049, China
liangjj@radi.ac.cn
lixm@radi.ac.cn
Received:05 March 2024,
Online First:23 May 2024,
Published:01 May 2025
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LI Xixi,LIANG Jianjun,FAN Kaiguo,et al.Multi-scale variability of internal solitary wave speed in the Sulu Sea[J].Journal of Oceanology and Limnology,2025,43(03):709-722.
LI Xixi,LIANG Jianjun,FAN Kaiguo,et al.Multi-scale variability of internal solitary wave speed in the Sulu Sea[J].Journal of Oceanology and Limnology,2025,43(03):709-722. DOI: 10.1007/s00343-024-4071-3.
Internal solitary waves (ISWs) have considerable energy to drive the mixing of water masses in the Sulu Sea. The propagation speed is one of the critical parameters in quantifying the energy budget of the ISWs. We collected 1 354 groups of ISWs’ speeds from tandem satellite remote sensing images with temporal intervals shorter than 25 min and analyzed their spatial and multi-scale temporal variations in the Sulu Sea. We found that water depth plays an important role in modulating the spatial variation of wave speeds
which increase exponentially with water depth with a power of 0.26. Tidal currents
ocean stratification
background circulation
and climate affect the temporal variations of wave speeds from days to months or years. The fortnightly spring/neap tidal currents cause daily variations of wave speeds up to 40% by modulating the ISW amplitudes. In addition to the well-accepted results that monthly variations of wave speeds are related to density stratification
we found that enhanced stratification increases wave speeds
and the background circulation leads to a maximum decrease of 0.27 m/s in the linear counterparts of wave speed. Moreover
the averaged wave speed collected in October is lower than the corresponding linear one possibly due to some unknown dynamical processes or underestimation of background current. As for the interannual variations
we show that wave speed increases in La Niña years and decreases in El Niño years as a result of the climatic modulation on the depth of the maximum value of buoyancy frequency.
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