Effects of Eddy Variability on the Circulation of the Japan/East Sea

The effect of mesoscale eddy variability on the Japan/East Sea mean circulation is examined from satellite altimeter data and results from the Naval Research Laboratory Layered Ocean Model (NLOM). Sea surface height variations from the Geosat-Exact Repeat Mission and TOPEX/POSEIDON altimeter satellites imply geostrophic velocities. At the satellite crossover points, the total velocity and the Reynolds stress due to geostrophic mesoscale turbulence are calculated. After spatial interpolation the momentum flux and effect on geostrophic balance indicates that the eddy variability aids in the transport of the Polar Front and the separation of the East Korean Warm Current (EKWC). The NLOM results elucidate the impact of eddy variability on the EKWC separation from the Korean coast. Eddy variability is suppressed by either increasing the model viscosity or decreasing the model resolution. The simulations with decreased eddy variability indicate a northward overshoot of the EKWC. Only the model simulation with sufficient eddy variability depicts the EKWC separating from the Korean coast at the observed latitude. The NLOM simulations indicate mesoscale influence through upper ocean-topographic coupling. This revised version was published online in August 2006 with corrections to the Cover Date.     

中国近海及其附近海域若干涡旋研究综述Ⅱ.东海和琉球群岛以东海域

综述东海和琉球群岛以东海域若干气旋型和反气旋型涡旋的研究.对东海陆架、200m以浅海域,主要讨论了东海西南部反气旋涡、济州岛西南气旋式涡和长江口东北气旋式冷涡.东海两侧和陆坡附近出现了各种不同尺度的涡旋,其动力原因之一是与东海黑潮弯曲现象有很大关系,其次也与地形、琉球群岛存在等有关.东海黑潮有两种类型弯曲:黑潮锋弯曲和黑潮路径弯曲.黑潮第一种弯曲出现了锋面涡旋,评述了锋面涡旋的存在时间尺度与空间尺度和结构等;也指出了黑潮第二种弯曲,即路径弯曲时在其两侧出现了中尺度气旋式和反气旋涡,讨论了它们的变化的特性.特别讨论了冲绳北段黑潮弯曲路径和中尺度涡的相互作用,着重指出,当气旋式涡在冲绳海槽北段成长,并充分地发展,其周期约在1~3个月时,它的空间尺度成长到约为200km(此尺度相当于冲绳海槽的纬向尺度)时,黑潮路径从北段转移到南段.也分析了东海黑潮流量和其附近中尺度涡的相互作用.最后指出在琉球群岛以东、以南海域,经常出现各种不同的中尺度反气旋式和气旋式涡,讨论了它们在时间与空间尺度上变化的特征.     

Eddy diffusivity and coherent mesoscale eddy analysis in the Southern Ocean

The spatial distribution of eddy diffusivity, basic characteristics of coherent mesoscale eddies and their relationship are analyzed from numerical model outputs in the Southern Ocean. Mesoscale fluctuation information is obtained by a temporal-spatial filtering method, and the eddy diffusivity is calculated using a linear regression analysis between isoneutral thickness flux and large-scale isoneutral thickness gradient. The eddy diffusivity is on the order of O (103 m2/s) with a significant spatial variation, and it is larger in the area with strong coherent mesoscale eddy activity. The mesoscale eddies are mainly located in the upper ocean layer, with the average intensity no larger than 0.2. The mean radius of the coherent mesoscale cyclonic (anticyclonic) eddy gradually decays from (121.2±10.4) km ((117.8±9.6) km) at 30°S to (43.9±5.3) km ((44.7±4.9) km) at 65°S. Their vertical penetration depths (lifespans) are deeper (longer) between the northern side of the Subpolar Antarctic Front and 48°S. The normalized eddy diffusivity and coherent mesoscale eddy activity show a significant positive correlation, indicating that coherent mesoscale eddy plays an important role in eddy diffusivity.     

基于海洋调查实测资料的中尺度涡旋识别结果的验证及边界拟合技术

结合卫星高度计资料,本文在海洋中尺度涡旋综合识别法(综合法)的基础上,利用实测资料对识别的涡旋边界和中心点进行比对验证,得出以下结论:(1)通过诊断涡旋识别的边界切线与实测海流矢量的夹角,结果表明综合法识别的涡旋边界形态基本可以反映实测涡旋的水平形态;(2)利用实测海流和温度资料反演涡旋中心,通过与综合法识别的涡旋中心进行比对,结果显示涡旋识别的中心位置与反演的涡旋中心位置基本吻合。此外,通过比对圆与椭圆对识别涡旋的边界拟合效果,结果显示椭圆拟合准确率高于圆拟合准确率。     

日本海中尺度涡旋时空变化特征研究

本文利用1993–2019年基于海表面高度异常的涡旋数据集和高度计数据统计分析了日本海区域中尺度涡旋的大小、极性、生命周期、振幅、传播等表面特征的时空变化规律。27年间,共探测到1 429个涡旋,气旋和反气旋数量基本相当,其中气旋675个,反气旋754个。两种极性涡旋均具有较强的季节变化:秋季较多,冬季次之,春季最少。郁陵盆地、大和盆地等为涡旋多发区域呈现西南–东北向带状分布。其中,南部海域反气旋占优,靠近津轻海峡的北部海域气旋占优。西部和南部受东韩暖流和对马暖流的驱动,涡旋移动方向与流场基本一致,北部涡旋与黎曼寒流以及副极地锋流有关。研究表明,动力学不稳定是涡旋在秋冬季大量产生的重要原因。此外,半封闭盆地、局地流场以及复杂的海气相互作用等都可能会对涡旋的产生和消亡造成一定影响。     

Direct estimates of the lateral eddy diffusivity in the gulf of finland of the Baltic Sea (based on the results of numerical experiments with an eddy resolving model)

Numerical modeling was applied to study the generation of transversal jet filaments observed in the summer of 1999 after an upwelling event off the northern coast of the Gulf of Finland. An eddy resolving model well reproduces the mesoscale coherent structures observed. It was shown that they represent manifestations of instability of alongshore baroclinic jet currents of an upwelling-downwelling origin. An estimate of the effective lateral eddy diffusivity in the mesoscale coherent structures equal to 500 m²/s was obtained as a result of statistical processing of pseudorandom model fields of the temperature and current velocity.     

Three-dimensional structure of an observed cyclonic mesoscale eddy in the Northwest Pacific and its assimilation experiment

Mesoscale eddies play an important role in modulating the ocean circulation. Many previous studies on the threedimensional structure of mesoscale eddies were mainly based on composite analysis, and there are few targeted observations for individual eddies. A cyclonic eddy surveyed during an oceanographic cruise in the Northwest Pacific Ocean is investigated in this study. The three-dimensional structure of this cyclonic eddy is revealed by observations and simulated by the four-dimensional variational data assimilation(4 DVAR) system combined with the Regional Ocean Modeling System. The observation and assimilation results together present the characteristics of the cyclonic eddy. The cold eddy has an obvious dual-core structure of temperature anomaly.One core is at 50–150 m and another is at 300–550 m, which both have the average temperature anomaly of approximately-3.5°C. The salinity anomaly core is between 250 m and 500 m, which is approximately-0.3. The horizontal velocity structure is axis-asymmetric and it is enhanced on the eastern side of the cold eddy. In the assimilation experiment, sea level anomaly, sea surface temperature, and in situ measurements are assimilated into the system, and the results of assimilation are close to the observations. Based on the high-resolution assimilation output results, the study also diagnoses the vertical velocity in the mesoscale eddy, which reaches the maximum of approximately 10 m/d. The larger vertical velocity is found to be distributed in the range of 0.5 to 1 time of the normalized radius of the eddy. The validation of the simulation result shows that the 4 DVAR method is effective to reconstruct the three-dimensional structure of mesoscale eddy and the research is an application to study the mesoscale eddy in the Northwest Pacific by combining observation and assimilation methods.     

Inversion of the three-dimensional temperature structure of mesoscale eddies in the Northwest Pacific based on deep learning

Mesoscale eddies, which are mainly caused by baroclinic effects in the ocean, are common oceanic phenomena in the Northwest Pacific Ocean and play very important roles in ocean circulation, ocean dynamics and material energy transport. The temperature structure of mesoscale eddies will lead to variations in oceanic baroclinity, which can be reflected in the sea level anomaly (SLA). Deep learning can automatically extract different features of data at multiple levels without human intervention, and find the hidden relations of data. Therefore, combining satellite SLA data with deep learning is a good way to invert the temperature structure inside eddies. This paper proposes a deep learning algorithm, eddy convolution neural network (ECN), which can train the relationship between mesoscale eddy temperature anomalies and sea level anomalies (SLAs), relying on the powerful feature extraction and learning abilities of convolutional neural networks. After obtaining the temperature structure model through ECN, according to climatic temperature data, the temperature structure of mesoscale eddies in the Northwest Pacific is retrieved with a spatial resolution of 0.25° at depths of 0–1 000 m. The overall accuracy of the ECN temperature structure is verified using Argo profiles at the locations of cyclonic and anticyclonic eddies during 2015–2016. Taking 10% error as the acceptable threshold of accuracy, 89.64% and 87.25% of the cyclonic and anticyclonic eddy temperature structures obtained by ECN met the threshold, respectively.     

南海北部中尺度涡流预报及应用

南海北部海域是南海中尺度涡的高发区,该海区的多尺度动力过程及相互作用经常对海上工程安全造成重大影响。针对“FPSO-119”海洋工程施工船在2021年5月8日20时左右遇到“怪流”后瞬时大幅度失位现象,在排除内波等其他海洋现象与外因影响的前提下,利用海表面高度异常（SLA）数据、HYCOM模式数据以及现场实测数据,分析认为“怪流”是施工海域内中尺度涡与潮流正向叠加所导致。在此基础上,结合TPXO潮流预报数据,提出了一种将中尺度涡流与潮流矢量叠加的涡流预报方法,并通过FVCOM数值预报,对施工海域的中尺度涡流进行预报。经过与现场实测数据的后报检验,该方法能够反映施工海域内涡流在未来2 d内的主要运动特征,可作为海上工程应对“怪流”的重要参考,在工程应用中结合内波流、风海流等其他信息综合考虑分析,可更好地为海洋工程和船舶航行等提供安全保障。     

一种使用卫星高度计数据且基于密度聚类的新型海洋中尺度涡自动探测算法

中尺度涡旋是海洋中典型的中尺度现象，是海洋中能量传递的运输者，中尺度涡识别与提取是物理海洋学研究的重要内容之一，而中尺度涡自动发现算法是最基础的用于寻找与分析中尺度涡的工具。中尺度涡旋探测工作的数据来源主要为卫星高度计数据融合出的SLA数据，该数据可以客观的描述海洋表层高度状态。中尺度涡表示为SLA闭合等值线所包围的局部等值区域，涡旋识别需要从SLA数据中提取出稳定的闭合等值线结构。针对基于SLA数据中的中尺度涡探测的特点，本文提出了一种新的基于聚类方法的中尺度涡自动识别算法，通过对SLA数据集的分割与筛选将中尺度涡区域与背景区域分离，后建立区域内联系并将其映射到SLA地图上来提取中尺度涡结构。本文算法解决了传统探测算法中参数设定的敏感性问题，不需要进行稳定性测试，算法适应性增强。算法中加入了涡旋筛选机制，保证了结果的涡旋结构的稳定性，提高了识别准确率。在此基础上，本文选取了西北太平洋及中国南海地区进行了中尺度涡探测实验，实验结果展示出了本文算法在较传统算法提高算法效率的同时，也保持着较高的算法稳定性，可以在稳定识别各个单涡结构的同时识别稳定的多涡结构。     

Observation of eddy structures in the Baltic Sea with the use of radiolocation and radiometric satellite data

The manifestations of mesoscale and submesoscale eddy elements in surface currents of the Baltic Sea in satellite images differing in physical nature and spatial resolution are considered. The investigation is based on the Envisat ASAR and ERS-2 SAR high-resolution radiolocation images (RLIs) obtained in 2008–2009 for different sites of the Baltic Sea water area and the use of the Envisat MERIS and Landsat ETM+ radiometric images of the visible spectrum. Possible mechanisms of the appearance of eddy structures in RLIs of the Baltic Sea water area are considered. Joint analysis of the mentioned data revealed specific features of the appearance of eddy structures in satellite images, taking into account the variability of optical characteristics of Baltic Sea surface waters during the summer blooming of cyanobacteria and the spring blooming of diatomic algae.     

基于四维变分同化方法的南海中尺度涡后报实验

海洋中尺度涡在本质上是属于满足准地转平衡的大尺度运动,因此理论上,其在短时间内的运动将主要受到准地转平衡关系的约束,而外部强迫场的影响在短期内不会明显改变其运动特征。基于上述思想,我们提出了一种基于四维变分同化初始场的中尺度涡旋预报方案。为了检验该方案的可行性,本文使用区域海洋模式(regional ocean modeling system, ROMS)和其内建的增量强约束四维变分同化(incremental strong constraint four dimensional variational, I4D-Var)模块,建立了一个南海海洋同化模拟系统。首先,通过I4D-Var方法将AVISO卫星高度计资料同化到海洋数值模拟中,获得了理想的中尺度涡同化模拟结果。同化、模式模拟和观测三者的中尺度涡统计结果表明,该同化系统模拟的南海中尺度涡的路径、半径、海表高度异常和振幅等特征信息与AVISO(Archiving ValidationandInterpolationofSatelliteOceanographicData)观测结果高度吻合,同时在深度上的分析表明,涡旋对应的温度、盐度和密度均得到有效的调整。然后,将该同化系统的模拟结果做为初始场,对某一特定时段的南海中尺度涡进行了后报模拟和结果的定量化分析。通过比较后报模拟与观测资料中对应涡旋的海表面高度异常(sea surface height anomalies, SSHA)相关系数、涡心差距和半径绝对误差,证明该方案的中尺度涡后报时效至少可达10 d以上。后报实验结果验证了该中尺度涡预报方案的可行性,从而为中尺度涡的预报提供一定的理论基础和可行性方案。     

Effects of mesoscale eddies on the internal solitary wave propagation

The mesoscale eddy and internal wave both are phenomena commonly observed in oceans. It is aimed to investigate how the presence of a mesoscale eddy in the ocean affects wave form deformation of the internal solitary wave propagation. An ocean eddy is produced by a quasi-geostrophic model in f-plane, and the one-dimensional nonlinear variable-coefficient extended Korteweg-de Vries (eKdV) equation is used to simulate an internal solitary wave passing through the mesoscale eddy field. The results suggest that the mode structures of the linear internal wave are modified due to the presence of the mesoscale eddy field. A cyclonic eddy and an anticyclonic eddy have different influences on the background environment of the internal solitary wave propagation. The existence of a mesoscale eddy field has almost no prominent impact on the propagation of a smallamplitude internal solitary wave only based on the first mode vertical structure, but the mesoscale eddy background field exerts a considerable influence on the solitary wave propagation if considering high-mode vertical structures. Furthermore, whether an internal solitary wave first passes through anticyclonic eddy or cyclonic eddy, the deformation of wave profiles is different. Many observations of solitary internal waves in the real oceans suggest the formation of the waves. Apart from topography effect, it is shown that the mesoscale eddy background field is also a considerable factor which influences the internal solitary wave propagation and deformation.     

Statistical characteristics of currents and seawater temperature near the Florida Strait

Average and extreme values of the current velocity, seawater temperature, and their standard deviations are considered on the basis of measurements carried out at three moorings deployed in the Florida Strait. The contributions of the low-frequency (synoptic) and mesoscale variations of currents and the seawater temperature to their temporal variability are estimated. The kinetic energy values of the averaged current and the synoptic and mesoscale variations are given. Their contributions to the general (total) kinetic energy of currents are determined. It is shown that the pulsations of the north-east trade wind can be one of the reasons for the synoptic variations in the field of currents and seawater temperature.Translated by Mikhail M. Trufanov.     

A posteriori probability source localization with uncertainmesoscale eddy currents

Long-range source localization is shown to be affected by a mesoscale eddy whose realization is solely a cyclonic current (no thermal manifestation). The sensitivity of a matched-field type processor (known ocean) to an eddy is demonstrated, as well as its sensitivity to a mismatch between the parameters of the eddy and the processor assumptions. Optimum uncertain field processing techniques are used to overcome these sensitivities by incorporating uncertainties about the environment into the processor. These processors operate on data produced by a special 3-D ray tracer using actual sound speed data and two different models for eddy current structure     

海表地转流差商计算试验分析

基于卫星高度计海面异常高度资料反演的海表地转流场在海洋学研究中应用广泛。针对Arbic等(2012)提出的海表地转流差商计算改进算法,以南海为试验海区,通过涡动能和中尺度涡自动识别计算试验对差商改进方法进行有效性检验。结果表明,七点中差法计算的海表地转流场比其他常用差商方法更利于中尺度涡旋外边界确定,得出的涡动能分布规律和数值大小也更符合实际。     

Seasonal variability of mesoscale eddies in the Banda Sea inferred from altimeter data

Using the mesoscale eddy trajectory atlas product derived from satellite altimeter data from 1993 to 2016, this study analyzes statistical characteristics and seasonal variability of mesoscale eddies in the Banda Sea of the Indonesian seas. The results show that there were 147 mesoscale eddies that occurred in the Banda Sea, of which 137 eddies were locally generated and 10 originated from outside. The total numbers of cyclonic eddies (CEs, clockwise) and anticyclonic eddies (AEs, anticlockwise) are 76 and 71, respectively. Seasonally, the number of CEs (AEs) is twice larger than the number of AEs (CEs) in winter (summer). In winter, CEs are distributed in the southern and AEs in the northern basins, respectively, but the opposite thing occurs in summer, i.e., the polarities of mesoscale eddies observed at the same location reverse seasonally. The mechanisms of polarity distribution reversal (PDR) of mesoscale eddies are examined with reanalysis data of ocean currents and winds. The results indicate that the basin-scale vorticity, wind stress curl, and the meridional shear of zonal current reverse seasonally, which are favorable to the PDR of mesoscale eddies. The possible generation mechanisms of mesoscale eddies include direct wind forcing, barotropic and baroclinic instabilities, of which the direct wind forcing should play the dominant role.     

基于深度学习的中尺度涡检测技术及其在声场中的应用

针对海洋中尺度涡的检测与参数提取问题,本文使用中尺度涡SAR图像数据集,提出基于深度学习的EddyYolo目标检测模型进行中尺度涡的涡旋中心和涡旋水平尺度的多目标检测,并且提取涡心位置和涡旋水平半径等参数.实验结果表明:本文提出的EddyYolo模型实现了涡旋中心和涡旋水平尺度的多目标检测,检测准确率达到94%.在此基础上,结合二维高斯涡模型和三维中尺度涡模型,本文提出了基于卫星遥感与声学对中尺度涡的联合建模方法.     

The Bransfield current system

We use hydrographic data collected during two interdisciplinary cruises, CIEMAR and BREDDIES, to describe the mesoscale variability observed in the Central Basin of the Bransfield Strait (Antarctica). The main mesoscale feature is the Bransfield Front and the related Bransfield Current, which flows northeastward along the South Shetland Island Slope. A laboratory model suggests that this current behaves as a gravity current driven by the local rotation rate and the density differences between the Transitional Zonal Water with Bellingshausen influence (TBW) and the Transitional Zonal Water with Weddell Sea influence (TWW). Below the Bransfield Front we observe a narrow (10 km wide) tongue of Circumpolar Deep Water all along the South Shetland Islands Slope. At the surface, the convergence of TBW and TWW leads to a shallow baroclinic front close to the Antarctic Peninsula (hereafter Peninsula Front). Between the Bransfield Front and the Peninsula Front we observe a system of TBW anticyclonic eddies, with diameters about 20 km that can reach 300 m deep. This eddy system could be originated by instabilities of the Bransfield Current. The Bransfield Current, the anticyclonic eddy system, the Peninsula Front and the tongue of Circumpolar Deep Water, are the dynamically connected components of the Bransfield Current System.     

基于高分辨率再分析海流数据的三种涡旋识别方法在南海的评估

本文基于南海11 a逐日高分辨率再分析海流数据,利用三种涡旋识别方法——缠绕角（Winding Angle,WA）法、速度矢量几何（Vector Geometry,VG）法和OW（Okubo Weiss）参数法对南海中尺度涡进行识别和追踪,对比了三种方法对中尺度涡的探测能力,并分析了在高分辨率再分析产品中的适用性。研究表明,产品空间分辨率的提高能够放大OW方法的W参数噪声,使该方法存在涡旋过量检测和涡旋分割现象,导致识别的涡旋数量偏多、半径偏小,涡旋平均成功探测率最低（76.2%）;与OW方法相比,WA方法在一定程度上降低了涡旋过量探测率和漏判率,涡旋平均成功探测率提高至85.1%,但涡旋识别时间较长;与前两种方法相比,VG方法的涡旋平均成功探测率可达93.2%,综合评估参数（过量探测率×漏判率÷成功探测率）优势显著（4.5%）,且计算高效。因此,在基于高分辨率再分析产品进行中尺度涡识别时,VG方法具有更加合理的涡旋探测结果和更强的适用性。