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On the Correlation-Regression Analysis of Thermohaline Structure of the Northeastern Barents Sea Waters

机译:东北巴伦斯海域热盐结构的相关回归分析

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摘要

The results of the investigation of thermohaline structure of waters in the northeastern part of the Barents Sea are based on the data of the CTD-survey of hydrophysical testing area (for the regular grid with the resolution of 10 miles), as well as on the data of the stations of the northern part of meridional and quasi-zonal sections up to Novaya Zemlya carried out in August-September 1998 during the 14th cruise of the research vessel Akademik Sergei Vavilov of the Institute of Oceanology of the Russian Academy of Sciences. The methodology includes the analysis of average T, 5-characteristies and isopyenic, correlation-regression, and factor analyses of temperature field. The vertical profiles of thermohaline properties in the testing area enable to separate at least five typical elements within the general water stratification. The representative isopyenics for the cores of water masses and transition layers are determined from the averaged T, S-diagrams. The temperature and salinity at the isopyenic surfaces in these layers fit well the linear regression model with rather high level of statistical significance, that indicates a quasi-linear nature of the state equation. The areas of the highest correlations within the water column are separated using the factor analysis of temperature field.
机译:巴伦支海东北部水域热盐碱化结构的调查结果基于水物理试验区域的CTD调查数据(对于分辨率为10英里的常规网格)以及1998年8月至9月,俄罗斯科学院海洋研究所的Akademik Sergei Vavilov号研究船在第14趟航行期间进行了直至Novaya Zemlya的子午线和准带状区北部站点的观测数据。该方法包括对平均T,5个特征和等渗,相关回归以及温度场因子分析的分析。测试区域中热盐特性的垂直剖面使得能够在一般水分层中分离至少五个典型元素。根据平均的T,S图确定水团和过渡层核心的代表性等渗。这些层中等渗面的温度和盐度非常适合具有较高统计意义的线性回归模型,这表明状态方程具有准线性性质。使用温度场的因子分析将水列内相关性最高的区域分开。

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  • 来源
    《Russian meteorology and hydrology 》 |2012年第2期| p.112-120| 共9页
  • 作者单位

    Shirshov Institute of Oceanology, Russian Academy of Sciences, Nakhimovskii pr. 36, Moscow, 117997 Russia;

    Shirshov Institute of Oceanology, Russian Academy of Sciences, Nakhimovskii pr. 36, Moscow, 117997 Russia;

    Shirshov Institute of Oceanology, Russian Academy of Sciences, Nakhimovskii pr. 36, Moscow, 117997 Russia;

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