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。     

基于OceanDataView的中尺度涡分析研究

以西太平洋海域 2 个中尺度涡为例,利用 AVISO 卫星高度计观测的海平面高度异常(Sea Level Anomaly,SLA)数据、HYCOM 模式的温度、盐度数据及水下滑翔机实测数据,分析了 Ocean Data View 软件(ODV)在实现该区域中尺度涡运动特征规律研究的实用性,探讨了中尺度涡分析处理的关键技术和方法。 结果表明：利用 ODV 软件能够快速绘制海平面高度异常值和海表面流速的平面图,进而准确判别中尺度涡类型、追踪中尺度涡在海表面的水平空间尺度及演化特征;也可绘制任意航迹温、盐深断面图用于分析中尺度涡的垂直结构和判别涡结构类型;同时 ODV 软件也提供了垂直涡结构实测数据与模式数据对比分析模式,为中尺度涡研究提供强有力的分析工具和技术支撑方法。     

基于YOLO算法的海洋中尺度涡三维结构构建

海洋中尺度涡是一种常见的中尺度海洋现象,研究海洋中尺度涡的分布及运动特性对航运、气候、军事等具有重要作用,海洋中尺度涡的识别是海洋学和计算机科学领域的一个热门研究课题。运用深度学习的方法和框架,对中尺度涡的二维识别和三维结构构建展开研究分析。首先,获取全球海洋再分析数据并进行流线可视化,构建涡旋流线数据集;其次,利用YOLO v5s卷积神经网络对涡旋流线数据集进行训练,并对南海区域中尺度涡进行有效检测。实验结果表明,YOLO v5s训练后得到最优模型经过测试,平均检测精度均值达到了86.10%;最后,根据涡旋检测结果,对检测出的同时刻不同深度的涡旋判断是否属于同一涡旋,确定后进行该涡旋的三维结构构建。     

基于卫星测高的南海中尺度涡统计特征研究

采用卫星测高数据SLA,通过对相同时间内不同卫星的数据以及同一卫星不同时间段的数据处理结果进行分析,来探讨卫星的识别能力和南海中尺度涡的时空分布规律。通过分析ENVISAT和Jason-2高度计2009年数据资料所识别出的eddy可以得出,在时间上,南海中尺度涡具有季节分布特征,即冬、夏季的中尺度涡具有明显的典型的分布特征,而春、秋季节的冷暖涡数量相差不大,具有过渡特征;在空间上,南海eddy多分布在越南东南部以及14°N~18°N,111°E~113°E海域。通过分析ENVISAT、Jason-2和j1n(Jason-1 on its new orbit)的3颗卫星融合数据,与单颗卫星相比,发现融合数据具有更强的识别能力,可以监测出更多的涡流。     

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。     

基于潜标资料的中南半岛外海水文特征分析

基于2012年9月—2013年12月中南半岛外海累计16个月的长时间序列潜标观测数据,结合AVISO海表面高度异常(sea level anomaly,SLA)数据,首次详细分析了中南半岛外海典型中尺度涡的运动规律和垂向特征及其对环境水文特征的影响,揭示了该海域深层海流的时间变化特征。在观测期间共捕捉到3次中尺度涡过程,中尺度涡对站位所在海域主温跃层深度变化的最大影响振幅可达50 m。研究发现:1)观测站位所在海域各深度的温度异常时间变化与站位SLA时间变化的相关性随深度增加逐渐减弱。2)上层和中层的海水流动受中尺度涡影响显著。1 500 m和2 000 m的深层环流主要表现为季节变化;在强中尺度涡暖涡经过期间,中尺度涡能影响到1 500 m的环流场,同时出现30 d周期震荡。2 000 m流场则不受中尺度涡影响。3)中南半岛以东南海1 500 m处深层海流月平均流速夏季大于冬季,月平均可达3.5 cm·s~(-1);2 000 m处深层海流最大流速出现在冬季,月平均可达2.6 cm·s~(-1)。深层海流受潮汐影响显著,潮汐作用主要影响深层海流东西向流速的变化。     

基于改进U-Net网络的海洋中尺度涡自动检测模型

海洋中尺度涡对浮游生物的分布、能量和盐分的输送具有非常重要的影响,海洋中尺度涡的自动检测是监测、分析中尺度涡时空变化的重要基础.针对传统基于物理特征检测海洋中尺度涡的方法存在受限于人工设计参数导致精度不高的问题,本文依据海洋卫星反演的海表面高度图,提出了一种基于改进U-Net网络的海洋中尺度涡自动检测模型.该模型在海洋...     

一种海洋遥感图像中尺度涡的自动检测方法

基于遥感图像涡区域检测边缘一般是由近似椭圆的分段圆弧曲线所构成的特点 ,提出一种“由粗到细”的海洋遥感图像中尺度涡计算机自动检测方法。首先对检测边缘利用曲线拟合和局部区域Hough变换的方法产生候选子区域 ,然后仅仅针对候选子区域利用局部区域图像灰度分割确定出涡的区域。实验结果表明所提出的方法可以完成处于成熟期、形态特征比较明显的中尺度涡自动检测     

中尺度涡自动识别算法比较与应用

中尺度涡是典型的海洋中尺度现象,开展中尺度涡研究具有重要的科学意义和实用价值,主要利用Okubo(1970)和Weiss(1991)提出的W方法和Nencioli等(2010)提出的几何学算法,针对数值模式输出产品开展了中尺度涡的自动识别与信息提取。结果表明,W方法和几何学方法均能够较好地识别出中尺度涡的位置,进而提取中尺度涡的半径、强度能信息,相比W方法,几何学方法能够识别出更多尺度相对较小的中尺度涡。同时,这两种自动识别方法也存在一定比例的漏判和错判的现象,进一步改进和完善中尺度涡的识别和信息提取算法仍然是必要的。     

基于密度峰值聚类的中尺度涡轨迹自动追踪方法

中尺度涡信息的提取包括涡旋的识别和轨迹追踪，其自动识别与追踪对于基于海量数据的中尺度涡分析十分重要。传统涡旋轨迹自动追踪方法一般需要预先设定搜索半径的阈值，存在一定的主观性。针对传统中尺度涡轨迹追踪方法存在的问题，论文从聚类的角度出发，提出基于密度峰值聚类算法实现对涡旋轨迹的自动追踪，并以南海中尺度涡追踪为例，将基于聚类的追踪算法与传统的相似度追踪算法进行比较分析。结果表明:（1）基于密度峰值聚类算法，可实现对海洋中尺度涡的自动追踪，该算法涡旋追踪准确率优于传统相似度算法；（2）该涡旋追踪算法对资料的完整性依赖度较低，特别是对于存在部分缺损数据的情况仍能较准确追踪；（3）该追踪算法克服了传统涡旋追踪算法需要预先设定搜索半径阈值的问题，自适应性更强。     

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.     

南海中尺度涡的形转、内转及平移运动研究

中尺度涡旋的运动整体可分为两部分：平移及转动。平移指涡旋在整个生命周期内的水平移动，而转动除了包括内转 （海表地转流引起的涡旋自身水体转动） 外，还包括形转 （涡旋实际边界最佳拟合椭圆的转动）。本文基于 1993—2018 年共计 26 年间的卫星高度计涡旋识别与追踪数据，首次对南海中尺度涡旋的完整运动形式，即形转、内转、平移展开了系统的研究。其中，对内转及平移的分析，可通过涡旋的识别追踪数据集直接进行；为研究涡旋形转，提出了一种基于涡旋识别追踪数据自动提取涡旋形转信息的算法，以此得到涡旋形转方向、每天形转的角度以及形转圈数等信息，获得涡旋形转数据集。通过对涡旋识别追踪数据以及形转数据集的统计分析发现：南海涡旋的平移方向多为西向，且其速率呈偏态分布，主要以南海南部偏高。同样，涡旋的内转速率也呈偏态分布，高速率内转的涡旋主要分布在吕宋海峡附近。涡旋的形转主要以南海南部速率偏高，且与涡旋的寿命及长轴有一定的关系，倾向于随着涡旋寿命的增长、涡旋长轴的增大而变慢。同时南海涡旋的这三种不同运动形式之间也存在一定的相关性。     

Case study on the three-dimensional structure of meso-scale eddy in the South China Sea based on a high-resolution model

Meso-scale eddies are important features in the South China Sea(SCS). The eddies with diameters of 50–200 km can greatly impact the transport of heat, momentum, and tracers. A high-resolution wave-tide-circulation coupled model was developed to simulate the meso-scale eddy in the SCS in this study. The aim of this study is to examine the model ability to simulate the meso-scale eddy in the SCS without data assimilations The simulated Sea Surface Height(SSH) anomalies agree with the observed the AVISO SSH anomalies well. The simulated subsurface temperature profiles agree with the CTD observation data from the ROSE(Responses of Marine Hazards to climate change in the Western Pacific) project. The simulated upper-ocean currents also agree with the main circulation based on observations. A warm eddy is identified in winter in the northern SCS. The position and domain of the simulated eddy are confirmed by the observed sea surface height data from the AVISO. The result shows that the model has the ability to simulate the meso-scale eddy in the SCS without data assimilation.The three-dimensional structure of the meso-scale eddy in the SCS is analyzed using the model result. It is found that the eddy center is tilted vertically, which agrees with the observation. It is also found that the velocity center of the eddy does not coincide with the temperature center of the eddy. The result shows that the model has the ability to simulate the meso-scale eddy in the SCS without data assimilations. Further study on the forming mechanism and the three-dimensional structure of the meso-scale eddies will be carried out using the model result and cruise observation data in the near future.     

南海中尺度涡的演化过程与行为追踪:一种基于全局最邻近滤波的方法

The eddy tracking approach is developed using the global nearest neighbor filter(GNNF) to investigate the evolution processes and behaviors of mesoscale eddies in the South China Sea(SCS). Combining the Kalman filter and optimal data association technologies, the GNNF algorithm is able to reduce pairing errors to 0.2% in tracking synthetic eddy tracks, outperforming other existing methods. A total of 4 913 eddy tracks that last more than a week are obtained by the GNNF during 1993–2012. The analysis of a growth and a decay based on 3 445 simple eddy tracks show that eddy radius, amplitude, and vorticity smoothly increase during the first half of lifetime and decline during the second half following a parabola opening downwards. The genesis of eddies mainly clusters northwest and southwest of Luzon Island whereas the dissipations concentrate the Xisha Islands where the underwater bay traps and terminates eddies. West of the Luzon Strait, northwest of Luzon Island, and southeast of Vietnam are regions where eddy splits and mergers are frequently observed. Short disappearances mainly distribute in the first two regions. Moreover, eddy splits generally result in a decrease of the radius and the amplitude whereas eddy mergers induce growing up. Eddy intensity and vorticity, on the contrary, are strengthened in the eddy splits and diminished in mergers.     

南海中尺度涡年际变化特征及动力机制分析

基于Okubo-Weiss函数方法对20年高度计资料进行涡旋识别,分析了南海中尺度涡的时空分布,初步研究了中尺度涡旋活动的年际变化特征及其可能的动力机制。结果显示,南海中尺度涡旋活动具有较为显著的年际变化特征,通过对涡旋个数、涡区面积、涡动能计算分析表明涡旋活动与ENSO现象遥相关:南海中尺度涡活动在ElNio年较弱,在LaNia年较强。可用风场异常解释南海中尺度涡的年际变化与ENSO现象的负相关关系。ElNio期间南海年平均意义下的东北风场减弱,风应力旋度绝对值减小,从而导致了较弱的涡旋活动,相反LaNia期间强劲的风场导致了涡旋活动增强。     

苏门答腊岛西北海域中尺度涡源区特征与形成机制

孟加拉湾内和湾口附近有丰富的中尺度现象,本文利用2.0版可分辨低纬地区中尺度涡的Chelton数据集,通过溯源的方法得到中尺度涡的源地分布。苏门答腊岛西北海域(以5°N,94°E为核心的区域)是中尺度涡重要源区之一。通过拉格朗日方法的涡旋追踪表明,1993—2017年该海域(3°N—6°N、92°E—95°E),分别有57个气旋式和40个反气旋式中尺度涡。频谱分析显示海表面高度异常存在180 d和360 d两个显著周期。地形和风场的共同作用是该海域产生中尺度涡的动力机制：沿5°N西传的罗斯贝波在海岭地形的作用下触发了中尺度涡的生成;赤道风场是源区重要的能量来源,局地风场能诱发中尺度涡的极性。本研究也揭示了以往文献虽刻画了苏门答腊岛西北部海域为高涡动能区,却没有识别出较多中尺度涡的原因。     

Global observations of nonlinear mesoscale eddies

Sixteen years of sea-surface height (SSH) fields constructed by merging the measurements from two simultaneously operating altimeters are analyzed to investigate mesoscale variability in the global ocean. The prevalence of coherent mesoscale features (referred to here as “eddies”) with radius scales of O(100 km) is readily apparent in these high-resolution SSH fields. An automated procedure for identifying and tracking mesoscale features based on their SSH signatures yields 35,891 eddies with lifetimes ?16 weeks. These long-lived eddies, comprising approximately 1.15 million individual eddy observations, have an average lifetime of 32 weeks and an average propagation distance of 550 km. Their mean amplitude and a speed-based radius scale as defined by the automated procedure are 8 cm and 90 km, respectively.The tracked eddies are found to originate nearly everywhere in the World Ocean, consistent with previous conclusions that virtually all of the World Ocean is baroclinically unstable. Overall, there is a slight preference for cyclonic eddies. However, there is a preference for the eddies with long lifetimes and large propagation distances to be anticyclonic. In the southern hemisphere, the distributions of the amplitudes and rotational speeds of eddies are more skewed toward large values for cyclonic eddies than for anticyclonic eddies. As a result, eddies with amplitudes >10 cm and rotational speeds >20 cm s⁻¹ are preferentially cyclonic in the southern hemisphere. By contrast, there is a slight preference for anticyclonic eddies for nearly all amplitudes and rotational speeds in the northern hemisphere.On average, there is no evidence of anisotropy of these eddies. Their average shape is well represented as Gaussian within the central 2/3 of the eddy, but the implied radius of maximum rotational speed is 64% smaller than the observed radius of maximum speed. In part because of this mismatch between the radii of maximum axial speed in the observations and the Gaussian approximation, a case is made that a quadratic function that is a very close approximation of the mode profile of the eddy (i.e., the most frequently occurring value at each radius) is a better representation of the composite shape of the eddies. This would imply that the relative vorticity is nearly constant within the interiors of most eddies, i.e., the fluid motion consists approximately of solid-body rotation.Perhaps the most significant conclusion of this study is that essentially all of the observed mesoscale features outside of the tropical band 20°S-20°N are nonlinear by the metric U/c, where U is the maximum circum-average geostrophic speed within the eddy interior and c is the translation speed of the eddy. A value of U/c > 1 implies that there is trapped fluid within the eddy interior. Many of the extratropical eddies are highly nonlinear, with 48% having U/c > 5 and 21% having U/c > 10. Even in the tropics, approximately 90% of the observed mesoscale features are nonlinear by this measure.Two other nondimensional parameters also indicate strong degrees of nonlinearity in the tracked eddies. The distributions of all three measures of nonlinearity are more skewed toward large values for cyclonic eddies than for anticyclonic eddies in the southern hemisphere extratropics but the opposite is found in the northern hemisphere extratropics. There is thus a preference for highly nonlinear extratropical eddies to be cyclonic in the southern hemisphere but anticyclonic in the northern hemisphere.Further evidence in support of the interpretation of the observed features as nonlinear eddies is the fact that they propagate nearly due west with small opposing meridional deflections of cyclones and anticyclones (poleward and equatorward, respectively) and with propagation speeds that are nearly equal to the long baroclinic Rossby wave phase speed. These characteristics are consistent with theoretical expectations for large, nonlinear eddies. While there is no apparent dependence of propagation speed on eddy polarity, the eddy speeds relative to the local long Rossby wave phase speeds are found to be about 20% faster in the southern hemisphere than in the northern hemisphere. The distributions of the propagation directions of cyclones and anticyclones are essentially the same, except mirrored about a central azimuth angle of about 1.5° equatorward. This small, but we believe statistically significant, equatorward rotation of the central azimuth may be evidence of the effects of ambient currents (meridional advection or the effects of vertical shear on the potential vorticity gradient vector) on the propagation directions of the eddies.While the results presented here are persuasive evidence that most of the observed westward-propagating SSH variability consists of isolated nonlinear mesoscale eddies, it is shown that the eddy propagation speeds are about 25% slower than the westward propagation speeds of features in the SSH field that have scales larger than those of the tracked eddies. This scale dependence of the propagation speed may be evidence for the existence of dispersion and the presence of features that obey linear Rossby wave dynamics and have larger scales and faster propagation speeds than the nonlinear eddies. The amplitudes of these larger-scale signals are evidently smaller than those of the mesoscale eddy field since they are not easily isolated from the energetic nonlinear eddies.