黄海,渤海盐度准三维数值预报模式

黄海、渤海盐度的垂直结构具有典型的自模性，而其水平分布又受平流，水平扩散效应及径流等因素的影响。本文根据黄海，渤海实测资料拟合了盐度垂直剖面的自模函数，并结合描述表，底层盐度及上均匀层厚度这３个特征量水平分布的方程，给出盐度三维结构的准三维模式。     

黄、渤海盐度准三维数值预报模式

黄、渤海盐度的垂直结构具有典型的自模性,而其水平分布又受平流、水平扩散效应及径流等因素的影响。本文根据黄、渤海实测资料拟合了盐度垂直剖面的自模函数,并结合描述表、底层盐度及上均匀层厚度这三个特征量水平分布的方程,形成给出盐度三维结构的准三维模式。在模式中,综合考虑了海面风和热输入的强迫作用以及流场的平流、侧向混和及底层混和影响因素,同时还考虑了径流、蒸发及降水的作用,较客观地反映了盐度的三维分布及其变化的物理过程。试报结果分析表明,模式的功能较好,结果令人满意。     

波浪和太阳短波辐射对渤、黄海夏季温度垂直结构的影响

基于普林斯顿(POM)模式,采用不同的垂直混合方案并考虑太阳短波辐射的作用,对渤海、黄海夏季垂直热结构进行了数值试验。试验结果表明,夏季波浪混合控制着渤海、黄海上混合层的形成,加入波浪混合能明显改善陆架浅海的夏季温度垂直结构。太阳短波辐射对渤海、黄海夏季上层垂直热结构有一定的作用,研究夏季海洋上层垂直热结构应该包括太阳短波辐射的影响,特别是对于水深相对较深的黄海。     

斜压海洋动力学的一种三维数值模式──Ⅱ.温度、盐度和垂直涡动粘性系数的计算

根据海水温度和盐度平流扩散方程给出一种数值计算方案并采用混合长度理论给出垂直涡动粘性系数的计算方法。对于温度和盐度方程,其平流过程采用了Lax－Wendroff格式,水平扩散采用显格式,垂直扩散采用隐格式。时间步长主要受平流过程的Courant-Friedrichs-Lewy条件限制。垂直涡动粘性系数计算依据Prandtl混合长度理论,并考虑了海水层化的抑制作用,因而其数值与流场及密度场结构有关。温度、盐度及垂直涡动粘性系数的计算与动力方程中内模态的计算同步进行。应用本模式模拟渤、黄、东海由潮流、密度流和风海流迭加而成的综合海流,得出了良好的结果。     

夏季渤海海峡大小潮影响下水体温盐浊分布特征及其水动力机制

渤海海峡沉积物输运及水体温盐分布特征与水体层化混合程度密切相关,大潮时期水体混合程度比小潮时期强,使得水体温盐分布自南向北、自底向上都存在着明显的大小潮差异。老铁山水道附近中低层入侵的高盐低温的黄海水团受混合作用影响,在大潮时期明显比小潮时期垂向作用范围大,且跃层明显;自北隍城岛向南,受渤海沿岸流淡水影响,水体盐度逐渐降低,温度逐渐升高,表层存在明显温盐跃层,且小潮跃层厚度较大。受混合作用影响,中底层水体浊度在大潮时期基本高于小潮时期,底层泥沙主要来自海底底质泥沙再悬浮,自南向北底质泥沙粒度渐粗,因此,底层浊度自南向北逐渐降低。     

影响南海混合层盐度季节变化的因素分析

通过对1950-2012年的南海混合层盐度数据进行分析,发现影响南海北部和南部盐度季节变化的最主要因素存在很大的差异.在南海北部,影响混合层盐度季节变化的最主要因素是蒸发降水,其次是水平平流.随着逐步南移,蒸发降水对盐度季节变化的影响递减,水平平流的影响逐渐增大;而在南海南部,水平平流的作用超过蒸发降水成为影响盐度的季节变化的最主要因素.在整个南海区域,冬季海水垂直混合变强,混合层变厚,下层高盐海水进入混合层,使混合层海水盐度变高,从而对冬季海水盐度的上升趋势产生促进作用;夏季南海北部混合层底存在上升流,南海东南部由于Ekman输运导致混合层变厚,都会将混合层以下高盐海水带入混合层,使混合层海水盐度变高,从而对夏季海水盐度下降趋势产生阻碍作用,但垂直混合对盐度季节变化的影响不大,远小于蒸发降水和水平平流.     

THEDIAGNOSTICNUMERICALSIMULATIONOFTHREE－DIMENSIONALBAROCLINICCIRCULATIONINTHEYELLOWANDBOHAISEAS

给出一黄渤海三维斜压的数值诊断环流模式，并进行了环流的数值模拟。在黄渤海冬季及夏季的环流模拟研究中，考虑了影响环流的因素，如海面风应力、热盐效应、地形及边界流量交换等影响因子。由模拟结果，正确再现了黄海冷水团密度环流、黄海暖流和沿岸流等的三维特征，并对这些特征的成因进行了分析     

2016年夏季黄、渤海颗粒有机碳的分布特征及影响因素

本文根据2016年6-7月黄、渤海航次获得的调查数据,分析了黄、渤海海域颗粒有机碳（POC）的浓度变化、空间分布特征并结合盐度、叶绿素a、POC/PON、POC/Chl a平面分布特征和相关性分析,探讨了黄、渤海海域POC的来源和影响因素。结果表明:2016年夏季渤海海域POC平均浓度（500.2±226.5）μg/L,北黄海POC平均浓度（358.2±101.5）μg/L,南黄海POC平均浓度（321.0±158.1）μg/L,渤海海域POC浓度高于黄海,整个海域POC浓度表层高于底层。POC的平面分布特征为近岸高,外海低。调查海域表层POC/PON均值为8.89,POC/Chl a均值为182.52;中层POC/PON均值为8.87,POC/Chl a均值为179.56;底层POC/PON均值为9.41,POC/Chl a均值为178.80。黄海海域浒苔衰败对POC/PON与POC/Chl a影响较大。相关性分析结果表明渤海海域盐度、总悬浮物和叶绿素a与POC存在显著的相关性,是影响POC分布的主要控制因素。南黄海除表层POC浓度与盐度、总悬浮物和叶绿素a浓度有很好的相关性外,中层和底层POC浓度与盐度、总悬浮物和叶绿素a浓度不存在显著的相关性。渤海海域POC主要受陆源和浮游植物共同影响,浮游植物是POC的主要贡献者,而黄海海域POC受长江冲淡水、黄海暖流、苏北沿岸流、生物活动和底层沉积物等多种因素影响,其中苏北近岸和青岛外海,有机碎屑为POC的主要贡献者。     

黄海表观耗氧量场季节循环时空模态与机制

根据黄海1977年5月至1981年11月逐月大面温度、盐度和溶解氧调查资料,采用旋转经验正交函数(REOF)、调和分析和延迟相关分析等方法,分析了黄海表观耗氧量(AOU)场季节循环时空模态与机制.黄海年平均表观耗氧量场表层至30 m层为富氧状态;底层为贫氧状态,涌升流、涡旋流对浅层年平均表观耗氧量场水平分布有显著影响,生物活性组分(BAC)耗-生氧作用是影响年平均表观耗氧量场水平与垂直差异的主要因素.黄海表观耗氧量场季节循环主要有两种时空模态:第一模态中涌升流、涡旋流、径向风应力、黄海暖流、沉积物需氧(SOD)以及营养盐调控的生物活性组分耗-生氧作用季节变化是主要影响因素,模态空间分量为三层垂直结构分布,模态时间分量季节变化位相为自表层向深层与自底层向上层传播两种形态;第二模态中涡旋流、涌升流、纬向风应力以及营养盐调控的生物活性组分耗-生氧作用季节变化是主要影响因素,模态空间分量为准四层垂直结构分布,模态时间分量季节变化位相为自表层至30 m层同步季节变化与自30 m层向底层传播两种形态.两种模态时间分量中周期分量是主要分量,贫、富氧期准对称季节分布.增氧过程多数出现在贫氧期,使得贫氧期向富氧期转变,耗氧过程多数出现在富氧期,使得富氧期向贫氧期转变,由此形成表观耗氧量模态季节周期循环过程.黄海春夏季溶解氧垂直最大值现象并不是物理-生物过程同步季节作用的结果,而是显著垂直差异的物理-生物-化学分量连续季节演变的综合作用结果.     

夏季南黄海潮混合锋的分布

本文根据南黄海风、潮、热通量等实测资料,用stigebrandt的一维模式,对夏季南黄海潮混合锋的位置进行模拟。通过对阳光透射效应和风作用的讨论发现,可以忽略阳光透射对锋的水平位置的影响,而风的作用则是不可忽略的。根据实测锋的剖面结构,文中特别指出,由于浮力平流效应,表层锋水平位置往往与底层锋相距较远,应对二者分别研究。尽管文中的一维模式也不能对受浮力平流影响较大的表层锋准确模拟,但计算结果与实测底层锋符合良好,可见,用此模式来研究底层锋是合适的。     

A quasi-three-dimensional numerical prediction model of salinity structure in Bohai Sea and Huanghai Sea

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黄海、渤海底层温、盐度与其垂直平均值的统计关系

文中根据黄渤海区１９５９～１９８２年间水温和盐度垂向剖面历史资料，建立了在给定水深下底层温、盐度与其对应的垂向平均值间的线性关系，进而对所获得的系数建立其与水深和时间（月份）间非线性关系，最终发展了底层温、盐度与其平均值、水深和时间的普适经验关系式ＴＨ（Ｓｕ）＝ｆ（ＴＡ（ＳＡ），Ｈ，ｔ），为建立避开来自海面的热量、质量和动量在会向上分配的复杂物理过程的简易底层温、盐度二维数值预报模式奠定基础。     

黄海、渤海温度垂直结构三维数值预报

文中将海洋分为具有密度阶跃的两层，设各层内各物理量与深度无关，用推广的ＡＤＩ方法进行包括潮流和风海流的二层流场计算，待流场计算稳定后，与温度扩散方程和上均匀层深度预报方程相耦合，对黄渤海区表、底层温度和上均匀层深度作了为期４ｄ的试报。然后，通过温度垂直剖面自模函数预报出三维的水温场。试报结果表明，整个模式的预报性能及试报结果与实测的吻合程度是令人满意的。     

黄渤海底层温、盐度与其垂直平均值的统计关系

文中根据黄渤海区1959～1982年间水温和盐度垂向剖面历史资料,建立了在给定水深下底层温、盐度与其对应的垂向平均值间的线性关系,进而对所获得的系数建立其与水深和时间(月份)间非线性关系,最终发展了底层温、盐度与其平均值、水深和时间的普适经验关系式T_H(S_U)=f(T_A(S_A),H,t),为建立避开来自海面的热量、质量和动量在垂向上分配的复杂过程的简易底层温、盐度二维数值预报模式莫定基础。     

Three-dimensional numerical prediction of vertical temperature structure of the Huanghai and the Bohai Seas

In the paper, the sea is divided into two layers with density jumping, assuming that the physical parameters in each layer are independent of depth. Two-layer flow field with tide and wind currents is calculated with extended ADI method, after the calculation for flow field is stable , coupled with temperature diffusion equations and thermohaline depth prediction equation, a four-day time prediction of the surface, bottom temperature and thermohaline depth of the Huanghai and the Bohai Seas. At the same time, three dimensional temperature field of sea water is predicted through vertical temperature distribution function. The result indicates that the prediction quality of the whole model and the fitting degree between the predicted result and the measured values are satisfactory.     

Assimilation of climatic data in a model of circulation of waters in the Black Sea with regard for the space and time behavior of the variances and cross-covariance functions of forecast errors

We propose an improvement of the algorithm of joint assimilation of the data on climatic temperature, salinity, and altimetric sea level in a model of circulation. Unlike the previous works, the variances of the forecast errors of temperature and salinity and the cross-covariance functions of of the forecast errors of salinity-level and temperature-level depend on the dynamics of waters. It is shown that the structure of the fields of cross-covariance functions in the upper mixed layer is formed by the vertical turbulent diffusion of the variances of forecast errors of temperature and salinity. At greater depths, these statistical characteristics are mainly determined by the vertical advection. We compared the results of calculations with and without taking into account the dynamics of the statistical characteristics. The analysis of the influence of the dynamics of these characteristics makes it possible to reconstruct the mutually adapted climatic fields of temperature, salinity, and horizontal and vertical current velocities in the Black Sea with the assimilation of data in the numerical model in each time step. Translated from Morskoi Gidrofizicheskii Zhurnal, No. 4, pp. 18–31, July–August, 2008.     

Assimilation of climatic hydrological data in a Black-Sea model based on the algorithm of adaptive statistics of prognostic errors

We propose an algorithm of adaptive statistics of prognostic errors aimed at the assimilation of the climatic temperature and salinity fields in a model of dynamics of the sea. The algorithm is used for the numerical solution of the proposed differential equations for the dispersions of prognostic errors of temperature and salinity. The sources in the equations of advective diffusion of heat and salt depend on the four-dimensional dispersions of prognostic errors and one-dimensional (along the vertical coordinate) dispersions of measurement errors. The dispersions of prognostic errors are corrected at the times of assimilation of the data. We perform the reconstruction and analysis of the climatic fields of currents in the Black Sea. It is shown that the structure of the fields of dispersions in the upper mixed layer is determined by the vertical diffusion. Below this layer, the distribution of dispersions depends on the vertical advection. The algorithm of adaptive statistics of prognostic errors allows us to reconstruct the improved mutually adapted hydrophysical parameters with regard for the dynamics of the dispersions of errors. __________ Translated from Morskoi Gidrofizicheskii Zhurnal, No. 1, pp. 26–37, January–February, 2008.     

A finite-element ocean model: principles and evaluation

We describe a three-dimensional (3D) finite-element ocean model designed for investigating the large-scale ocean circulation on time scales from years to decades. The model solves the primitive equations in the dynamical part and the advection–diffusion equations for temperature and salinity in the thermodynamical part. The time-stepping is implicit. The 3D mesh is composed of tetrahedra and has a variable resolution. It is based on an unstructured 2D surface mesh and is stratified in the vertical direction. The model uses linear functions for horizontal velocity and tracers on tetrahedra, and for surface elevation on surface triangles. The vertical velocity field is elementwise constant. An important ingredient of the model is the Galerkin least-squares stabilization used to minimize effects of unresolved boundary layers and make the matrices to be inverted in time-stepping better conditioned. The model performance was tested in a 16-year simulation of the North Atlantic using a mesh covering the area between 7° and 80° N and providing variable horizontal resolution from 0.3° to 1.5°.     

Upper ocean high resolution regional modeling of the Arabian Sea and Bay of Bengal

In this paper, effort is made to demonstrate the quality of high-resolution regional ocean circulation model in realistically simulating the circulation and variability properties of the northern Indian Ocean(10°S–25°N,45°–100°E) covering the Arabian Sea(AS) and Bay of Bengal(BoB). The model run using the open boundary conditions is carried out at 10 km horizontal resolution and highest vertical resolution of 2 m in the upper ocean.The surface and sub-surface structure of hydrographic variables(temperature and salinity) and currents is compared against the observations during 1998–2014(17 years). In particular, the seasonal variability of the sea surface temperature, sea surface salinity, and surface currents over the model domain is studied. The highresolution model's ability in correct estimation of the spatio-temporal mixed layer depth(MLD) variability of the AS and BoB is also shown. The lowest MLD values are observed during spring(March-April-May) and highest during winter(December-January-February) seasons. The maximum MLD in the AS(BoB) during December to February reaches 150 m (67 m). On the other hand, the minimum MLD in these regions during March-April-May becomes as low as 11–12 m. The influence of wind stress, net heat flux and freshwater flux on the seasonal variability of the MLD is discussed. The physical processes controlling the seasonal cycle of sea surface temperature are investigated by carrying out mixed layer heat budget analysis. It is found that air-sea fluxes play a dominant role in the seasonal evolution of sea surface temperature of the northern Indian Ocean and the contribution of horizontal advection, vertical entrainment and diffusion processes is small. The upper ocean zonal and meridional volume transport across different sections in the AS and BoB is also computed. The seasonal variability of the transports is studied in the context of monsoonal currents.     

海洋岛附近海域春季海洋水文测量结果分析

利用2006年4月在海洋岛附近海域的CTD测量资料,系统分析了该海域温度、盐度、密度和声速的平面分布和垂直分布特征,并探讨了其形成机理。分析指出:4月份是海洋岛附近海域季节性跃层的生成期,海区会产生正跃层、逆跃层、冷中间层、暖中间层等复杂的垂直结构;中间层和底层水文要素受海流的影响较大,而表层水文要素主要受海面风场和气温的影响。