2011年春、夏季黄、东海水团与水文结构分布特征

根据2011年春季(4月)夏季(8月)两个航次调查的CTD温盐资料,获得观测期间黄、东海主要水团特征:(1)夏季黄海冷水团10℃等温线在黄海海域中部30m以深,影响范围西至122°E南至34°N,最低温度为6.2℃,比气候态平均冷水团温度低约2℃;(2)夏季冲淡水以长江口为中心,呈半圆形向外扩展,并无明显NE转向,30.00等盐线在32°N断面上东至124°E,南至29.5°N,扩展范围与往年相比偏西1°左右,而在SE方向较往年有明显延伸扩展。水文结构特征为:(1)春季,温跃层主要在南黄海中部以西,跃层强度仅为0.10—0.40℃/m;密跃层主要在长江口以东,跃层强度0.20—0.30kg/m4;(2)夏季,温跃层强度最高值在长江口东北,跃层强度达到2.41℃/m,上界深度5.5m,厚度2.5m;黄海温跃层强度普遍强于东海,主要是冷水团区域表底显著的温度差异造成;密跃层强度高值区在33°N断面西侧海区,强度达到1.38kg/m4,上界深度5.5m,厚度约为1.5m;沿长江冲淡水舌轴方向的密跃层强度为0.30—0.60kg/m4,自西向东逐渐减弱。     

Oceanic pycnocline depth retrieval from SAR imagery in the existence of solitary internal waves

Oceanic pycnocline depth is usually inferred from in situ measurements. It is attempted to estimate the depth remotely. As solitary internal waves occur on oceanic pycnocline and propagate along it, it is possible to retrieve the depth indirectly in virtue of the solitary internal waves. A numerical model is presented for retrieving the pycnocline depth from synthetic aperture radar （SAR） images where the solitary internal waves are visible and when ocean waters are fully stratified. This numerical model is constructed by combining the solitary internal wave model and a two-layer ocean model. It is also assumed that the observed groups of solitary internal wave packets on the SAR imagery are generated by local semidiurnal tides. A case study in the East China Sea shows a good agreement with in situ CTD （conductivity-temperature-depth） data.     

深海主跃层环境对会聚区影响的数值分析

应用BELLHOP模式,对声速剖面的声跃层结构变化引起会聚区偏移特征进行了分析。结果表明,声速垂直结构的变化可导致会聚区位置出现不同程度的偏移:跃层强度增加0.01 s-1将使会聚区向远离声源方向偏移1.5~2.0km;跃层厚度增大50m将使会聚区向靠近声源方向偏移0.3~0.5km;跃层位置加深100m将使会聚区向远离声源方向偏移0.5~1.0km。在跃层的三个特征量中,跃层强度起主导作用。跃层强度变化引起的声线在海洋次表层的偏折差异,进而导致进入深海等温层的入射角差异,是使会聚区发生偏移的决定性因素。     

初始倾斜跃层所致内波的数值研究

The pycnocline in a closed domain is tilted by external wind forcing and tends to restore to a level posi- tion when the wind falls. An internal seiche oscillation exhibits if the forcing is weak, otherwise internal surge and internal solitary waves emerge, which serve as a link to cascade energy to small-scale processes. A two-dimensional non-hydrostatic code with a turbulence closure model is constructed to extend previous laboratory studies. The model could reproduce all the key phenomena observed in the corresponding labo- ratory experiments. The model results further serve as a comprehensive and reliable data set for an in-depth understanding of the related dynamical process. The comparative analyses indicate that nonlinear term favors the generation of internal surge and subsequent internal solitary waves, and the linear model predicts the general trend reasonably well. The vertical boundary can approximately reflect all the incoming waves, while the slope boundary serves as an area for small-scale internal wave breaking and energy dissipation. The temporal evolutions of domain integrated kinetic and potential energy are also analyzed, and the results indicate that about 20% of the initial available potential energy is lost during the first internal wave breaking process. Some numerical tactics such as grid topology and model initialization are also briefly discussed.     

Low frequency oscillations of the heat distribution in the global upper ocean layers

The heat distributions in the upper layers of the ocean have been studied and some important low frequency oscillations （LFOs） are already found and quantified by using various characteristic factors. In this paper, the ‘heat center＇ of a sea area is defined with a simple method. Then the temperature data set of the upper layer of the global ocean （from surface down to 400 m, 1955-2003） is analyzed to detect the possible LFOs. Not only some zonal LFOs, which were reported early, but also some strong LFOs of the vertical and meridional heat distribution, which might imply some physical sense, are detected. It should be noted that the similar vertical oscillation pattern can be found in the Pacific Ocean, Atlantic Ocean and Indian Ocean. Results from some preliminary studies show that the vertical LFO might be caused by the solar irradiance anomalies. This study may help reveal some unknown dynamical processes in the global oceans and may also benefit other related studies.     

基于遗传聚类算法的印度洋环境特征区划

利用全球海洋 Agro 观测计划提供的温、盐浮标资料,开展了印度洋海域水下环境特征提取与区划分析.在垂直方向运用Akima 方法对浮标剖面进行插值,提取一组表征跃层、声速场的特征指标,并针对常规模糊 C 均值聚类算法中初始聚类数难以客观选取和聚类结果易陷入局部最优等问题,利用遗传算法的全局搜索能力对聚类算法作了改进.通过在遗传进化过程中引入动态变化的聚类中心解决了聚类数难以客观确定的问题,并在该算法的生存策略中引入 Boltzmann 选择机制,提高算法的收敛速度.在对印度洋海域温、盐跃层、声速分布及层结稳定度分析的基础上,利用改进的遗传聚类方法对印度洋海域水下环境特征进行聚类区划,得到一个基本的特征分类构型,结合各类构型的典型特征,分析了对水下潜器活动、声纳探测和水声通信等的影响.     

跃层厚度对内孤立波能量耗散的影响

内孤立波破碎混合是陆架地形上海洋混合过程重要的能量汇,为了探究内孤立波在连续跃层密度分层中能量变化及能量耗散规律,本文使用OpenFOAM建立数值水槽,基于双曲正切曲线设置连续跃层密度分层开展了一系列工况的模拟,针对跃层厚度对内孤立波能量传递及其耗散进行了详细分析。结果表明跃层厚度与跃层处流速剪切存在着负相关关系,随着跃层厚度的增加能量耗散先减小后增大。跃层厚度较小时,跃层处流速剪切强,理查德森数小,易产生开尔文-亥姆霍兹(Kelvin–Helmholtz)不稳定现象;随着跃层厚度的增大,流速剪切减小,理查德森数增大,开尔文-亥姆霍兹不稳定消失;跃层厚度达到临界值后,层结稳定性减小,理查德森数减小,流场的翻转混合过程加强,能量耗散也明显增强。