基于潜标观测的黑潮-亲潮混合区近惯性能量季节变化特征研究
CHARACTERIZATION OF SEASONAL VARIATION OF NEAR-INERTIAL ENERGY IN KUROSHIO-OYASHIO MIXED ZONE BASED ON MOORING OBSERVATIONS
范中祥 1孙冰溶 2陈朝晖2
作者信息
- 1. 中国海洋大学深海圈层与地球系统前沿科学中心/物理海洋教育部重点实验室 山东青岛 266100;中国海洋大学未来海洋学院 山东青岛 266100
- 2. 中国海洋大学深海圈层与地球系统前沿科学中心/物理海洋教育部重点实验室 山东青岛 266100
- 折叠
摘要
近惯性内波广泛存在于全球海洋,是维持深层海洋跨等密度面湍流混合及海洋层结的重要能量来源.基于黑潮-亲潮混合区的多年深海潜标数据,分析了:(1)该海域近惯性内波及其能量的季节变化特征与影响因素,(2)上层和深层近惯性运动的频率、波数谱及垂向分布等特征.结果表明,该海域存在丰富的近惯性动能,无论海洋上层还是深层均呈现显著的冬季强、夏季弱的季节变化特征,冬季(12～2月)上层的近惯性能量可占全年能量的41％,深层近惯性信号同样显著,同潮汐信号相当.平板模型分析表明,该区域近惯性动能的季节循环特征主要受风场的季节变化所主导,同时受到黑潮延伸体流轴的摆动调制.
Abstract
Near-inertial waves(NIWs)are widespread in the global ocean,and are a significant energy source for turbulent diapycnal mixing in the deep ocean to maintain ocean stratification.Based on multi-year deep-sea mooring data collected in the Kuroshio-Oyashio mixed zone,we focused on the seasonal variations and the dominant factors in determining near-inertial kinematic energy in this region,and the characteristics of wave frequency,wavenumber spectrum,and vertical distribution of near-inertial motions in the upper and deep ocean.Results revealed the presence of abundant near-inertial kinetic energy in this region.Both the upper and deep ocean layers exhibit notable seasonal variation,and are characterized by pronounced intensification in winter and weakening in summer.Specifically,in winter months,near-inertial energy in the upper layer can contribute to 41％of the total annual energy.Moreover,the near-inertial energy in the deep-layer ocean is equally significant,being comparable to the tidal signals.The slab model suggests that these seasonal cycles of near-inertial energy are primarily driven by external wind forcing,with additional influence from the northward shift of the Kuroshio extension axis.
关键词
黑潮-亲潮混合区/近惯性内波/季节变化/潜标观测Key words
Kuroshio-Oyashio mixed zone/near-inertial wave/seasonal variation/mooring observation引用本文复制引用
基金项目
国家自然科学基金青年科学基金项目(42106015号)
国家自然科学基金面上基金项目(42176218号)
中央高校基本科研业务费专项(202072009号)
青岛市博士后基金(862105040025号)
出版年
2024
NETL
NSTL
万方数据