Vertical Thermohaline Structure,Water Masses,and Large-Scale Fronts in the Southwest Atlantic and Neighboring Antarctic Water Areas

The vertical profiles of temperature and salinity are classified by using the contemporary array of actual and monthly average archive oceanographic data. A scheme of decomposition of the investigated water area into zones according to the typical features of vertical stratification of the thermohaline field is proposed. The criterion of maximum of the horizontal temperature and salinity gradients is used to select and map the principal large-scale frontal boundaries. The parameters of fronts and some regularities of their seasonal variability are described and the data on water masses interacting in the analyzed system of fronts are presented.     

Seasonal Variability of Thermohaline Front in the Central South China Sea

An upper layer thermohaline front across the South China Sea (SCS) basin from the South Vietnamese coast (around 15°N) to Luzon Island (around 19°N) has been identified using the Navy's open domain Generalized Digital Environmental Model (GDEM) monthly mean temperature and salinity data on a 0.5° × 0.5° grid. This front does not occur at the surface in summer. The strength of this front is around 1°C/100 km at the surface and 1.4°C/100 km at the subsurface (50 m deep). A cross-basin current, inverted using the P-vector method, is associating with the front. Meandering and eddies have been identified along this current. Seasonal and vertical variabilities of the thermohaline structure across this front are reported in this paper. This revised version was published online in July 2006 with corrections to the Cover Date.     

不同辐射背景下大西洋热盐环流下沉区混合层深度变化

基于政府间气候变化专门委员会(Intergovernmental Panel on Climate Change,IPCC)4种最新辐射强迫情景,利用ECHAM5/MPI-OM(European Centre Hamburg Model 5/Max Planck Institute Ocean Model)气候模式输出的1850—2300年逐月混合层深度、海表面温度、海表面盐度数据,分析大西洋热盐环流下沉区混合层深度的变化情况。结果表明:随辐射强迫增加,热盐环流下沉区混合层深度下降,混合层深度振荡周期在格陵兰-冰岛-挪威海(Greenland Sea–Iceland Sea–Norwegian Sea,GIN)海域减小,在拉布拉多海(Labrador Sea,LAB)海域变化不大;与GIN海域相比,LAB海域混合层深度对辐射强迫变化更敏感;两海区温度对混合层深度的影响时间较长,混合层深度对盐度的变化反应迅速;混合层深度变化的主导因素在LAB海域中为盐度,而在GIN海域,低辐射强迫下温度主导混合层深度变化,中高辐射强迫下温度与盐度共同起主导作用。     

内潮对吕宋海峡地转流动力计算的影响

利用2008年8~9月份吕宋海峡121°E断面上19.5°N~21°N之间4个连续站的CTD资料,讨论了内潮引起的温、盐剖面扰动对地转流诊断计算的影响,指出:在吕宋海峡,内潮引起的温、盐剖面扰动对地转流诊断计算的干扰不可忽略。因此,地转流诊断计算必须剔除温、盐剖面中的"内潮噪声"。另外,本文根据4个连续站时间平均后的温、盐剖面,通过动力计算法得到了吕宋海峡121°E断面上的地转流场,得出结论如下:吕宋海峡地转流速度较大部分多位于350 m以浅,流速最大值出现在表层;黑潮入侵南海主要发生于19.8°N~21°N的上层;在19.5°N~21°N之间,50~1 700 m深度范围内,海水体积通量呈现"上进下出"的垂向结构,350 m以浅为入流,流量约为2.6 Sv(1 Sv=1×106m3.s-1),350 m以深为出流,流量约为3.1 Sv。同期观测所得121°E断面上的盐度分布验证了本文所得地转流场的合理性。     

基于梯度依赖客观分析技术的全球Argo网格化数据集:构建及初步应用

采用梯度依赖相关尺度方法构建了1套2004—2017年间,月平均的全球海洋(0~1 500 m)1°×1°的Argo数据集,并在对该数据集进行对比检验的基础上,将其初步应用于中西太平洋黄鳍金枪鱼的渔场分析研究。结果表明,所构建的Argo数据集与WOA13数据集的温、盐偏差在上表层(150 m)稍大,最大值分别约为0.5 ℃和0.1,且偏差均随深度的增加而逐渐减小;其与TAO浮标时间序列的温度偏差,2004—2017年间均小于1 ℃,最大盐度偏差则小于0.5,且大部分海域接近0。中西太平洋海域,黄鳍金枪鱼中心渔场多集中在 28~29 ℃ 等温线范围内,在 22 ℃以下的海域单位捕捞努力量渔获量(catch per unit effort,CPUE)值极小;中心渔场区温跃层上界深度范围在20~120 m之间,且中心渔场在各个深度上形成的频数大体呈正态分布,温跃层上界深度为90 m时,形成中心渔场的可能性达到最大。研究表明所构建的数据集在水文环境分析及资源评估中有一定的应用价值。     

Direct measurements of surface and mid-depth circulationin the Shikoku Basin by Argo profiling floats

The circulation in the Shikoku Basin plays a very important role in the pathway of the Kuroshio and the water exchange in the subtropical gyre in the North Pacific Ocean. The Argo profiling floats deployed in the Shikoku Basin are used to study the circulations and water masses in the basin. The trajectories and parking depth velocity fields derived from all Argo floats show an anticyclonic circulation at 2 000 m in the Shikoku Basin. There are inhanced eddy activities in the Shikoku Basin, which have large influence on the Shikoku Basin circulation patterns. The characteristics of temperature-salinity curves indicate that there are North Pacific Ocean tropical water (NPTW), North Pacific Ocean subtropical mode water (NPSTMW) and North Pacific Ocean intermediate water (NPIW) in the Shikoku Basin. The NPTW is only exists south of 32°N. In the middle part of the basin, which is 28°~31°N,133°~135°E, there is a confluence region. Water masses coming from the Kuroshio mix with the water in the Shikoku Basin.     

吕宋海峡黑潮脱落涡旋的特征分析

涡旋脱落在西太平洋和南海的海水属性交换中起到重要作用。为研究吕宋海峡附近海域由黑潮脱落并进入南海的涡旋特征,本文采用1993—2014年法国空间局(AVISO)多卫星融合海面高度距平(SLA)和绝对动力地形(ADT)全球网格化延时数据,美国国家海洋数据中心(NODC)的WOA13年平均温盐剖面气候数据,以及1993—2010年SODA2.2.4月平均海洋同化数据集,并分析了黑潮脱落涡旋与大尺度环流的关系。结果表明:(1)暖涡脱落数量远多于冷涡数量,且脱落的冷涡绝大部分在黑潮西侧边缘生成,而脱落的暖涡则大部分在黑潮控制区生成。(2)冷涡、暖涡脱落时的平均半径、平均振幅相近,但是冷涡的平均生命、平均迁移距离约为暖涡的一半。(3)冷涡不是每年都有脱落,主要在冬季脱落;暖涡则每年均有脱落,主要发生在秋季。(4)脱落涡旋数量与脱落时的黑潮路径类型相关。(5)脱落涡旋的平均西行速度为5.8cm/s,与斜压第一模态长Rossby波波速及大尺度环流的西向平流流速之和相近。     

Analysis on the indicator species and ecological groups of pelagic ostracods in the East China Sea

Ecological adaptation and ecological groups of pelagic ostracods were examined in the East China Sea （23°30′-33°00′N, 118°30′ -128°00′E）, in relation to temperature and salinity. The data were collected in four surveys conducted from 1997 to 2000. The density, yield density, or negative exponent models were used to determine the optimal temperature and salinity of water for the thriving growth of pelagic ostracods. Thereafter, ecological groups and potential distribution patterns of pelagic ostracods were determined based on the predicted parameters such as optimal temperature and salinity, consulting the geographic distribution. The analytical results indicate that, among the numerical dominant pelagic ostracods in the East China Sea （ECS）, Euconchoecia aculeata, E. elongata, E. chierchiae, E. maimai, and Cypridina dentata, etc. are offshore subtropical water species. These species are widely distributed in the area, and they can be brought by the warm current to north offshore during spring and winter. The predicated optimal temperature （OT） and optimal salinity （OS） for Paraconchoecia decipiens, P. echinata, P. spini- fera, P. oblonga, Conchoecia magna and Porroeciaporrecta are all greater than 25℃ and 34 separately. These species are mainly distributed in the waters of the Kuroshio, the Taiwan Warm Current, and the Taiwan Strait, and therefore are designated as ocean- ic tropical water species. On the other hand, Pseudoconchoecia concerttrica is considered as offshore subtropical water species based on its geographical distribution although its OT is 19℃. The other species, though their OSs are approximately 34 and with OTs ranging from 20° to 25℃, are considered as offshore subtropical water species because they were found to be widely distributed from the South China Sea to the East China Sea.     

热带太平洋障碍层厚度的时空特征分析

利用中国Argo实时数据中心提供的9 a(2000—2008年)网格化Argo剖面浮标温、盐数据(G Argo),分析热带太平洋障碍层厚度的气候态分布和低频变化特征。气候平均结果表明,较厚的障碍层主要出现于西太平洋暖池区,并有3条纬向障碍层带状分布,从暖池出发向东延伸至120°W,分别位于以15°N,5°N和12°S为中心的纬度带上。经验正交函数(EOF)基本模态分析表明,热带太平洋障碍层低频振荡以季节和年际变化为主,在季节尺度上主要表现为15°N和12°S障碍层纬度带呈反相变化,都在当地冬季最大,夏季最小;在年际尺度上则主要表现为暖池东边界附近障碍层与厄尔尼诺南方涛动(ENSO)相关的变化,以及暖池中部障碍层与热带准2 a周期振荡(TBO)相关的变化。     

HYCOM模式对赤道及北太平洋海表温度的模拟

本文使用HYCOM数值模式,根据两种海气通量数据集(COADS、ECMWF)和两种海气通量块体参数化方案(常数块体参数化方案和非常数块体参数化方案)的不同结合,构成4组数值实验,分别模拟了赤道及北太平洋的气候态海表温度.实验结果表明:1)在本文的实验中,非常数块体参数化方案优于常数块体参数化方案;在太平洋40°N-20°S区域内,采用前者得到的年平均海表温度比Pathfinder卫星资料高约0.21 °C,而采用后者得到的年平均海表温度比Pathfinder卫星资料高约0.63 °C.2)HYCOM数值模式很好的模拟了赤道及北太平洋的气候态海表温度变化及西太平洋暖池空间分布的月变化.特别是实验2(采用COADS数据集和非常数块体参数化方案),在太平洋40°N - 20°S区域内,冬春两季平均SST仅比Pathfinder卫星数据集高0.02 °C.3)不同的海气通量数据会对模式结果产生明显的影响.对比采用COADS数据集的实验2结果与采用ECMWF数据集的实验4结果可以发现,在模拟区域的西北部,实验2比实验4的年平均SST高约1 °C;在模拟区域的东南部,实验4比实验2的年平均SST高约1 °C.两者差的最大值出现在58°N、140°E附近及中国渤海,约为4 °C(实验2比实验4的年平均SST高约4 °C).     

About some morphological characteristics of the oceanic fields' vertical structure

A set of parameters is considered which allow us to determine the morphological structure of the vertical temperature, salinity, and density fields. If the parameters are integrated over the layer chosen, their computing does not call for imposing conditions of the fluctuation components' statistical heterogeneity. The parameters can be applied to describe both fine structure stratification and background stratification. Presumably, they may be used for mapping diverse types of thermohaline water stratification and the vertical structure of other fields when large sets of data covering the areas with marked spatial variability of the relevant conditions are available. Examples of simulations andin situ calculations are provided.Translated by Vladimir A. Puchkin.     

Freshwater forcing as a booster of thermohaline circulation

Making use of a simple two‐layer model, we analyze the impact of freshwater forcing on the thermohaline circulation. We consider the forward‐type circulation dominated by thermal forcing, implying that the freshwater forcing acts to reduce the density contrast associated with the equator‐to‐pole temperature contrast (prescribed in the model). The system is described by two variables: the depth of the upper layer ( H ) and the density contrast between the upper and lower layer (Δρ), which decreases with salinity contrast. The rate of poleward flow of light surface water and the diapycnal flow (i.e., upwelling) driven by widespread small‐scale mixing are both modeled in terms of H and Δρ. Steady states of thermohaline circulation are found when these two flows are equal. The representation of the diapycnal flow ( M_D ) is instrumental for the dynamics of the system. We present equally plausible examples of a physically based representation of M_D for which the thermohaline circulation either decreases or increases with density contrast. In the latter case, contrary to the traditional wisdom, the freshwater forcing amplifies the circulation and there exists a thermally dominated equilibrium for arbitrary intensity of freshwater forcing. Here, Stommel's famous feedback between circulation and salinity contrast is changed from a positive to a negative feedback. The interaction of such a freshwater boosted thermohaline circulation with the climate system is fundamentally different from what is commonly assumed, an issue which is briefly addressed.     

Fishery analysis using gradient-dependent optimal interpolation

The current lack of high-precision information on subsurface seawater is a constraint in fishery research. Based on Argo temperature and salinity profiles, this study applied the gradient-dependent optimal interpolation to reconstruct daily subsurface oceanic environmental information according to fishery dates and locations. The relationship between subsurface information and matching yellowfin tuna(YFT) in the western and central Pacific Ocean(WCPO) was examined using catch data from January 1...     

Decadal variations of the North Pacific Tropical Water at 137°E

The decadal variations of the North Pacifi c Tropical Water (NPTW) at 137°E in the western North Pacific Ocean are investigated based on the repeated hydrographic observations along with two global gridded ocean products. The results indicate that the maximum salinity of NPTW experiences signifi cant quasi-decadal variations, having maxima around 1979, 1987, 1995, 2004, and 2012, while minima around 1974, 1983, 1991, 1999, and 2008 during the period of interest. The NPTW area also shows similar quasidecadal variation, expanding/shrinking as its maximum salinity increases/decreases at the 137°E section. These variations are induced mainly by changes in the mixed layer salinity in the source region and largescale circulation in the northwestern tropical Pacific Ocean, both of which are related to the Pacific Decadal Oscillation. The underlying processes at work are further confi rmed through conducting the subsurface salinity budget analysis. Besides, short-term processes are also at work through nonlinear interactions, especially after 2000.     

基于神经网络的全球三维温盐场重构技术研究

文章利用果蝇优化广义回归神经网络算法FOAGRNN (fruit fly optimization algorithm, FOA; generalized regression neural network, GRNN)对SODA (simple ocean data assimilation)再分析数据进行训练, 构建海表温度、盐度、海面高度与次表层温盐场之间的投影关系模型, 并在全球范围使用SODA和卫星遥感数据评估了模型的应用性能。首先, 利用独立的2016年SODA海表数据作为模型输入进行理想重构试验, 结果显示全球重构温、盐平均均方根误差(MRMSE)分别为0.36℃和0.08‰, 与世界海洋图集WOA13资料相比减小约50%和60%。然后, 利用卫星观测的海表信息作为模型输入进行实际应用试验, 并与Argo观测剖面进行比较评估。试验结果表明, 重构模型能有效表征海水温、盐特征, 其中重构温、盐MRMSE分别为0.79℃和0.16‰, 相比WOA气候态减小27%和11%。误差的垂向分布显示, 重构温度RMSE从海表向下迅速增大, 至100m达到峰值1.35℃, 而后又迅速回落,至250m处为0.81℃, 跃层往下不断减小; 重构盐度RMSE基本随深度增大而减小, 误差峰值位于25m附近, 约为0.25‰。此外, Argo浮标跟踪分析和区域水团统计结果也表明模型能够较好地刻画海洋三维温盐场的内部结构特征。     

Temporal and spatial variabilities of Japan Sea surface temperature and atmospheric forcings

In this study, we used the National Centers for Environmental Prediction monthly sea surface temperature (SST) and surface air temperature (SAT) data during 1982–1994 and the National Center for Atmospheric Research surface wind stress curl data during 1982–1989 to investigate the Japan Sea SST temporal and spatial variabilities and their relations to atmospheric forcing. First, we found an asymmetry in the correlation coefficients between SST and wind stress curl, which implies that the SST variability at the scales of the order of one month is largely due to atmospheric forcing. Second, we performed three analyses on the data fields: annual mean, composite analysis to obtain the monthly anomaly relative to the annual mean, and empirical orthogonal function (EOF) analysis on the residue data relative to the summation of the annual mean and the monthly anomaly. The first EOF mode of SST accounts for 59.9% of the variance and represents the Subpolar Front. The temporal variation of the first EOF mode implies that the deep Japan Sea could be cooler in cold seasons (November–April) of 1984–1987. Third, we computed cross-correlation coefficients among various principal components and found that the atmospheric warming/cooling is the key factor causing intra-seasonal and interannual SST variabilities.     

Seasonal abundance and distribution of pelagic tunicates (Chordata: Thaliacea) in the central South China Sea

1IntroductionTunicates(Chordata:Thaliacea)are large pe-lagic gelatinous zooplankton.They can be used as in-dicator species for ocean currents and water bodies(Chen et al.,1980;Chen et al.,1988;Lin,1988,1990;Lin and Zhang,1993;Thompson,1948).They also play…     

Improved description of global mixed-layer depth using Argo profiling floats

A global data set describing the gridded mixed-layer depth (MLD) in 10-day intervals was produced using high-quality Argo float data from 2001 to 2009. The characteristics and advantages provided by the new MLD data set are described here, including a comparison based on two different thresholds and using data sets of different vertical and temporal resolution. The MLD in the data set was estimated on the basis of a shallower depth of the iso-thermal layer (TLD) or iso-pycnal layer (PLD), calculated using the finite difference method. The MLD data are incorporated into 2° × 2° grid in the global ocean, including marginal seas. Also, two threshold values were used to examine differences in the MLD and its seasonal temporal variability. The characteristics and advantages of using the Argo 10-day intervals to determine the MLD were then confirmed by comparing those data with the station buoy daily means and the Argo monthly means. With respect to vertical and temporal resolutions, the Argo 10-day data has two distinct advantages: (1) improved representation of the MLD vertical change due to high vertical resolution, especially during periods of large MLD variability and (2) more detailed representation of the temporal change in MLD than achieved with the Argo monthly mean data, especially from winter to spring in mid and high latitudes. These advantages were maintained in the case of a larger threshold despite the fact that the MLD is rather deep and the detailed variation in its distribution differs depending on the season and location. This study also investigated the relative influence of TLD and PLD to the MLD calculation for each grid. Generally, the MLD is primarily determined based on the PLD at low and mid latitudes (TLD > PLD), whereas the TLD is more important at high latitudes, especially in winter (TLD < PLD). In the case of a larger threshold, the area of the larger PLD influence spreads polewards because of the greater effect of salinity in winter. Although there are some differences in the effect of temperature and salinity in estimations of the MLD, both are indispensable factors for the MLD estimations even at different thresholds.