用聚类方法分析欧亚盆地大西洋水团的t, s特征

D. Lyzhkov, N. Zhurbas, N. Kuzmina
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引用次数: 0

摘要

利用2002-2015年NABOS (Nansen和Amundsen盆地观测系统)项目收集的欧亚盆地大陆斜坡样带的CTD数据进行聚类分析。采用最常用的k-means聚类方法进行计算。考虑了两种情况:分为两组和三组。在θ、S图(θ、S分别为潜在温度和盐度)上的点联合的已识别的簇与大西洋水的弗拉姆和巴伦支分支的θ、S值令人满意地对应。对每个水团计算质心(水团中心)的热盐特征,即每个水团的温度、盐度和势密度在同一时间的平均值。用θ、s坐标和θ、σ-坐标(σ为势密度)表示质心的热盐性特征。此外,还分析了温度、盐度和质心势密度与观测年份的关系。最后的结果使人们能够估计大西洋水在不同观测年份的平均温盐特征,以及这些估计每年的变化。特别地,研究发现,2006-2009年(沿126°E段)海带平均温盐特征值表明海带发生了强烈的增温和盐渍化,并且在所有海带群中都观察到对增温的响应。对所得结果作了解释。考虑了选择最优聚类分析方法的途径。给出了分析的CTD数据中温度和盐度变化范围对质心评价精度影响的估计结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF T, S-CHARACTERISTICS OF THE ATLANTIC WATER MASS IN THE EURASIAN BASIN USING THE CLUSTER METHOD
Cluster analysis was performed using CTD data from transects across continental slope of the Eurasian Basin collected within the NABOS (Nansen and Amundsen Basins Observing System) project in 2002–2015. The most commonly used k-means clustering method was applied for calculations. Two cases were considered: division into two and three clusters. The identified clusters which united points on the θ, S-diagrams (θ, S are potential temperature and salinity, respectively) satisfactorily corresponded to the θ, S-values of the Fram and Barents branches of the Atlantic water. For each cluster the thermohaline characteristics of centroids (cluster centers) were calculated, that is, the average values at the same time of temperature, salinity and potential density of each water mass. The thermohaline characteristics of centroids, estimated from the available data obtained in different years of observation, were presented in θ, S-coordinates and θ, σ-coordinates (σ is potential density). Additionally, dependences of temperature, salinity, and potential density of centroids on the year of observation were analyzed. The final results made it possible to obtain estimates of the average thermohaline characteristics of Atlantic water in different years of observation and the variability of these estimates from year to year. In particular, it was found that the values of the average thermohaline characteristics of the AW indicated a strong warming and salinization of the AW in 2006–2009 (sections along 126° E), and the response to warming was observed in all AW clusters. An interpretation of the obtained results was given. Approaches to the choice of the most optimal method of cluster analysis were considered. The results of estimating the influence of temperature and salinity variability ranges in the analyzed CTD data on the accuracy of centroids evaluations were presented.
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