南海中尺度涡温盐异常三维结构

基于1994-2015年海面高度异常数据，采用winding-angle中尺度涡旋探测算法识别出南海范围内共5 899个反气旋涡（AE）和3 792个气旋涡（CE），结合世界海洋数据集（WOD13）及中国科学院南海海洋研究所（SCSIO）温盐观测数据集，采用基于变分法的客观插值方法，合成了南海及南海各区域中尺度涡的温盐异常三维结构。结果表明，本文采取的插值方式能有效地获得涡旋三维结构，垂向尺度上也与前人研究结果较为一致。在平均状态下，南海AE温盐异常强度明显大于CE，AE正位温异常主体结构深度约440 m，而CE仅在320 m以浅维持涡旋结构；两者最大位温异常均出现在次表层约80 m上下，AE达2.02℃，CE达-1.60℃。盐度异常影响深度约150 m，最大盐度异常出现在50 m深附近，AE达-0.24，CE达0.28，同时由于涡旋在不单调变化的背景盐度场中引起海水下沉（上升），AE盐度异常结构呈"上负下正"而CE呈"上正下负"式结构。南海各区域合成涡旋的温、盐异常的影响程度并不完全相同，可能与各区域涡旋的生成机制及背景温盐场有关。     

基于Voxler平台的太平洋中尺度涡合成三维结构

为深入研究太平洋中尺度涡的三维结构特征,解决常规一维剖面和二维平面图对温盐空间分布规律分析不足的弊端,文章在三维结构合成分析的基础上首次引入Voxler平台,建立太平洋中尺度涡温盐要素的三维数据模型,实现太平洋中尺度涡三维结构的可视化表达,利用历史观测数据合成的太平洋中尺度涡三维结构,对温盐结构特征进行直观的全空间三维分析。研究结果表明:太平洋反气旋涡温度异常的主体结构深度约200m,呈鹅卵石状,涡旋结构可维持到1 000m;盐度异常的主体结构深度约300m,呈水平扁平水滴状,涡旋结构仅维持约800m;与盐度异常的三维结构相比,温度异常结构较复杂,且涡旋结构更明显,到达深度也更深,即温度受中尺度涡的影响更显著。     

南海中尺度涡旋海表温度特征统计研究

中尺度涡旋在海洋中无处不在,研究中尺度涡旋的海表温度(SST)对于研究中尺度涡旋上的海气相互作用具有重要意义。本文使用南海2000—2015年的SST和海面高度异常(SSHA)卫星观测数据,分析了南海不同振幅范围中尺度涡内SST的特征。研究表明,不是所有的反气旋涡(气旋涡)内的SST异常(SSTA)都是正(负)的,大约35%(29%)的反气旋涡(气旋涡)与SSTA呈正相关,且在不同振幅范围下表现出不同的空间和季节变化。中尺度涡旋内合成SSTA与SSHA表现出位相不一致,反气旋涡(气旋涡)内的SSTA的最大值(最小值)相对于涡心偏向于赤道(两极)方向。涡旋内SSTA与SSHA呈线性相关,反气旋涡(气旋涡)振幅每增加1 cm,涡旋内平均SSTA则增加(降低)0.02(0.01)℃。     

基于传输函数的二/三维全时空连续海洋中尺度涡旋流场实时可视化

海洋中尺度涡旋可视化可以将海洋中尺度涡旋的运动规律以图形图像等直观的方式加以展现,是研究海洋中尺度涡旋强有力的工具。然而,现有的可视化方法存在一些不足,如时空连续可视化框架中的流线不能表现全时空连续的运动过程,应用到海洋涡旋提取的特征值受阈值影响严重,交互式传输函数依赖用户经验等。为解决已有的不足,本文首次提出了全时空连续框架和传输函数标准形态模式,将基于区域的涡旋提取技术(?准则)应用到海洋中尺度涡旋可视化中,并提出了全时空连续可视化框架二维及三维的GPU实现方案。实验结果表明,本文的可视化方案达到了实时可交互的级别,对于海洋中尺度涡旋交互式可视化具有重要意义。     

南印度洋中尺度涡统计特征及三维合成结构研究

南印度洋是海洋中尺度涡的多发区域。本文利用卫星高度计资料及Argo浮标资料,对南印度洋（10°~35°S, 50°~120°E）区域中尺度涡的分布、表观特征等进行了统计分析,采用合成方法,构建了该区域中尺度涡的三维温盐结构。结果表明,涡旋频率呈明显的纬向带状分布,在18°~30°S存在一个明显的涡旋频率带状高值区;涡旋半径具有由南至北逐渐增大的趋势;长周期涡旋在其生命周期内,半径、涡动能、涡能量密度、涡度等性质均经历了先增大而后减小的过程;涡旋以西向运动为主,在经向上移动距离较小,长周期气旋（反气旋）涡具有明显的偏向极地（赤道）移动的倾向;涡旋平均移动速度为5.9 cm/s,速度大小大致沿纬向呈带状分布。在混合层以下,气旋涡（反气旋涡）内部分别呈现明显的温度负（正）异常,且分别存在两个位温负（正）异常的冷（暖）核结构;气旋涡（反气旋涡）整体上呈现"正-负"（"负-正"）上下层相反的盐度异常结构。中尺度涡对温盐的平均影响深度可达1 000×104 Pa以上。     

两个西边界流延伸体区域中尺度涡统计特征分析

黑潮和湾流是世界大洋中最典型的两支西边界流，黑潮延伸体（Kuroshio Extention，KE）和湾流延伸体（Gulf Stream Extention，GSE）区域中尺度涡活动十分活跃。本文综合利用卫星高度计资料和Argo浮标资料，对KE和GSE区域中尺度涡的表层特征及其对温盐影响进行了统计研究和对比分析。结果表明:黑潮和湾流主轴附近为涡旋频率的高值区，主轴南北两侧分别以气旋涡和反气旋涡数量占多，主轴附近的涡旋强度明显大于其他区域；两个区域的涡旋以西向移动为主，气旋涡和反气旋涡都具有向南（赤道）偏离的趋势；两个区域的涡旋数量都以夏、秋季较多，涡旋强度都在春、夏季较大，且GSE区域涡旋强度明显大于KE区域；气旋涡（反气旋涡）引起内部明显的温度负（正）异常，KE区域气旋涡（反气旋涡）内部呈"负-正"（"正-负"）上下层相反的盐度异常分布，GSE区域气旋涡（反气旋涡）在各层呈现较为一致的盐度负（正）异常；两个区域中尺度涡对温盐场的平均影响深度可达1 000×104 Pa以上。     

南海中尺度涡温盐结构的季节特征及形成机制

本文利用最新的涡旋数据集和ARMOR3D数据，研究了南海中尺度涡温盐结构的季节特征及形成机制。合成分析的结果表明，在冬季，涡旋引起温度异常的水平分布在50米以浅表现为类似偶极型分布，而在50m以深则趋向于中心对称分布；在夏季，温度异常的水平分布均表现为中心对称的特征。涡旋引起盐度异常的水平分布也具有类似的季节特征，但是偶极型中的不对称性相对较弱。在垂向上，涡旋所致的温度异常表现为单层结构，而盐度异常则为三层结构。进一步的分析表明，涡旋所致温盐异常的垂向分布特征与背景温盐的垂向分层有关；而在50m以浅，温盐异常的水平分布的不对称特征主要由背景温盐场的水平平流所致。     

南海涡动能比季节变化特征及机理分析

基于1993-2012年Aviso海面高度异常资料识别中尺度涡,计算南海海域涡动能比,并结合涡旋移动轨迹对气旋涡、反气旋涡的时空分布特征进行分析。结果表明,涡动能比能直观刻画区域涡旋活跃程度,结合涡旋移动轨迹后能有效反映涡旋演变过程。冬季季风期,南海中尺度涡最为活跃,反气旋涡、气旋涡交错分布在南海东部。台湾岛西南反气旋涡大多向西北方向移动,少数在气旋涡作用下向西南方向移动。越南东部涡旋呈偶极子分布,夏秋季北部是气旋涡,南部是反气旋涡,冬季北部是反气旋涡,南部是气旋涡。     

黑潮延伸体邻近海区中尺度涡三维合成结构分析

文章基于卫星高度计资料和Argo浮标资料,采用合成方法,构建了黑潮延伸体邻近海区中尺度涡的温盐三维结构。合成结果表明,表层至1×107 Pa,合成气旋涡（反气旋涡）呈现较为一致的位温负（正）异常,气旋（反气旋）涡内呈现较为一致的位温负（正）异常,混合层至约7×106 Pa深度,气旋（反气旋）涡存在位温负（正）异常的冷核（暖）核结构。气旋（反气旋）涡的平均盐度在垂向上呈现“负—正”（“正—负”）上下相反的异常结构。     

基于GIS 的南海中尺度涡旋典型过程的特征分析

以具有复杂时空演变过程的海洋中尺度涡旋为研究对象,以定量表达和组织涡旋典型过程案例为前提,基于Global NLOM(Naval Research Laboratory Layered Ocean Model)所得的SSH(Sea Surface Height)、SST(Sea Surface Temperature)和表层海流场,对海洋中尺度涡旋进行综合辨认和动态跟踪。以南海为例,通过提取涡旋典型过程中的典型状态,建立中尺度涡旋典型案例库。然后以库中所有过程案例为对象对涡旋进行GIS(Geographic Information System)时空特征分析。所得结果为:(1)南海中尺度涡旋整体上呈东北-西南向分布,涡旋水平移动速度为3~16 cm/s,平均速度为8.4 cm/s。(2)大部分涡旋向西移动。春夏季涡旋主要向西北方向移动,秋冬季涡旋主要向西南方向移动。(3)南海东北部涡旋主要集中在9~10月以及次年的1~2月发生,涡旋先向西北方向移动,后又转向西南方向移动,大部分中尺度涡旋不能西移太远。南海中部气旋涡主要发生在冬、春两季。一部分涡旋沿陆坡向西南运动,其中一些反气旋涡沿南海海盆向西运动。南海东南部在研究期内只有反气旋涡出现,向西或西北偏西运动,这里的涡旋比较弱,但移动距离较长,也有较长的生命周期。南海西南部夏季出现的涡旋多于冬季,且夏季的绝大部分涡旋以偶极子结构出现,该区域涡旋移动的距离较小。该研究引入GIS技术,基于大量时空数据对具有复杂时空特征的中尺度涡旋的信息进行组织、存储,以期通过对涡旋生消过程的时空分析来揭示其演变规律,为进一步研究海洋涡旋的空间推理预测奠定了坚实的基础。     

进入中国南海的黑潮脱落中尺度涡的特征——基于OFES模式数据

自黑潮脱落并由吕宋海峡进入中国南海的中尺度涡(简称脱落涡旋)对黑潮与南海的水体交换、热量及物质输送等过程均有十分重要的作用。基于1993—2013年OFES(OGCM for the Earth Simulator)模式数据产品,分析研究了脱落涡旋的统计特征及其温盐流三维结构,并与卫星观测结果进行对比分析。OFES模式的海表面高度数据和卫星高度计数据的统计结果都表明气旋式脱落涡旋(脱落冷涡)绝大部分在黑潮西侧边缘生成,反气旋式脱落涡旋(脱落暖涡)则大部分在黑潮控制区(包括黑潮流套区)生成,脱落暖涡的数量远多于脱落冷涡的。OFES模式数据得到的脱落涡旋个数和出现频率较卫星观测结果要明显偏低。此外,由OFES模式数据得到的脱落涡旋三维结构表明,黑潮控制区和黑潮西侧边缘生成的脱落冷涡的流场垂向影响深度差异较大,而脱落暖涡的流场垂向影响深度一般达水深1000 m以深,脱落涡旋的位势温度的垂向影响深度与该涡的流场垂向影响深度相当,其盐度的垂向影响深度则较浅;脱落涡旋的温盐结构受黑潮的影响较大。     

Statistical characteristics and thermohaline properties of mesoscale eddies in the Bay of Bengal

The statistical characteristics and vertical thermohaline properties of mesoscale eddies in the Bay of Bengal are studied from the view of satellite altimetry data and Argo profiles. Eddy propagation preferences in different lifetimes, eddy evolution process, and geographical distribution of eddy kinetic properties are analyzed in this area. Eddies exist principally in the western Bay of Bengal, and most of them propagate westward. There is a clear southward(equatorward) preference for eddies with long lifetimes, especially for cyclones. Moreover, the eddies in different areas of the bay show different north-southward preferences. Evolution of eddy kinetic properties with lifetime shows that eddies have the significant three-stage feature: the growth period in the former one-fifth lifetime, the stable period in the middle two-fifth to four-fifth lifetime, and the dying period in the last one-fifth lifetime. Large-amplitude and high-intensity eddies occur only in the relatively confined regions of highly unstable currents, such as the East Indian Coastal Current and eastern Sri Lanka. Based on Argo profile data and climatology data, the eddy synthesis method was used to construct three-dimensional temperature and salt structures of eddies in this area. The mean temperature anomaly is negative/positive to the cyclonic/anticyclonic eddies in the upper 300×10~4 Pa, and below this depth, the anomaly becomes weak. The salinity structures of positive anomalies inside cyclonic eddies and negative anomalies inside anticyclonic eddies in the Bay of Bengal are not consistent with other regions. Due to the special characteristics of the water mass in the bay, especially under the control of the low-salinity Bay of Bengal water at the surface and the Indian equatorial water in the deep ocean, the salinity of seawater shows a monotonic increase with depth. For regional varieties of temperature and salinity structures, as the eddies move westward, the temperature anomaly induced by the eddies increases, the effecting depth of the eddies deepens, and the salinity structures are more affected by inflows. In the north-south direction, the salinity structures of the eddies are associated with the local water masses, which comprise lowsalinity water in the northern bay due to the inflow of freshwater from rivers and salty water in the southern bay due to the invasion of Arabian Sea high-salinity water from the north Indian Ocean.     

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.     

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.     

Interannual variability in the Mindanao Eddy and its impact on thermohaline structure pattern

The major feature,interannual variability and variation cause of the Mindanao Eddy and its impact on the thermohaline structure are analyzed based on the Argo profiling float data,the history observed data and the SODA data.The analysis results show that the Mindanao Eddy is a permanent cyclonic meso-scale eddy and spreads vertically from about 500 m depth upward do about 50 m depth.In addition to its strong seasonal variability,the Mindanao Eddy displays a remarkable interannual variability associated with ENSO.It strengthens and expands eastward during El Nin o while it weakens and retreats westward during La Nin a.The interannual variability in the Mindanao Eddy may be caused by the North Equatorial Counter Current,the North Equatorial Current,the Mindanao Current and the Indonesian Through Flow.The eddy variability can have a great influence on the thermohaline structure pattern in the local upper ocean.When the eddy is strong,the cold and low salinity water inside the eddy moves violently upward from deep layer,the thermocline depth greatly shoals,and the subsurface high salinity water largely decreases,with the upper mixed layer becoming thinner,and vice versa.     

Multifractal filtering method for extraction of ocean from remotely sensed imagery

Traditional methods of extracting the ocean wave eddy information from remotely sensed imagery mainly use the edge detection technology such as Canny and Hough operators. However, due to the complexities of ocean eddies and image itself, it is sometimes difficult to successfully detect ocean eddies using these methods. A mnltifractal filtering technology is proposed for extraction of ocean eddies and demonstrated using NASA MODIS, SeaWiFS and NOAA satellite data set in the typical area, such as ocean west boundary current. Results showed that the new method has a superior performance over the traditional methods.     

多重分形方法在涡旋遥感信息处理提取中的应用研究

目前提取遥感影像中的涡旋信息主要用边缘探测技术,例如Canny算子和Hough算子等,然而由于涡旋信息和遥感影像本身的复杂性和模糊性,用传统的方法不能取得理想的提取结果.基于多重分形技术,利用海洋涡旋信息的物理特征时空形态的自相似性来提取涡旋,用NASA MODIS,Sea WiFS和NOAA在典型海区如边界流的卫星影像进行试验,研究结果表明,用多重分形方法获取的涡旋信息非常有利于对海洋涡旋的深刻认识和分析研究.