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首页> 外文期刊>Ocean Science Discussions >Temperature–salinity distribution in the northeastern Atlantic from ship and Argo vertical casts
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Temperature–salinity distribution in the northeastern Atlantic from ship and Argo vertical casts

机译：船舶和Argo垂直铸件在东北大西洋的温度-盐度分布

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The present study defines new interpolation functions for hydrological data. These functions are applied to generate climatological maps of temperature–salinity distribution with a 25 m depth interval and a 30 km space interval (MEDTRANS data set). The data undergo rigorous initial data quality control, having passed several filtering procedures. The gridding is done on neutral density surfaces, which allows better representation of thermohaline fronts for the same gridding radius. The multi-pass Barnes optimum interpolation procedure with spatially variable size of the gridding window is used. The shape of the window accounts for the dominant along-isobath direction of water mass transport over steeply sloping topography. A local ratio of topographic to planetary β-effects is used to define the shape of the window as a function of the relative importance of the topographic influence. The N/f ratio is applied to account for the baroclinic compensation decay of the topographic influence on water mass transport with the distance from the bottom. The gridded fields are available at the website of the Centre of Oceanography of the University of Lisbon (http://co.fc.ul.pt/en/data). The MEDTRANS climatology gives more details of the distribution of water characteristics in the subtropical northeastern Atlantic than other alternative climatologies and is able to reproduce a number of dynamic features described in the literature: the acceleration in the meanders of the Azores current; the cyclonic gyre in the Gulf of Cadiz; and the splitting and separation of the Mediterranean Water (MW) outflow in two veins near the Gorringe and Galicia banks. Seasonal climatologies, computed for the warm (May–October) and cold (November–April) seasons, reveal stronger zonal extension of the upper ocean patterns during the warm season, as compared to the cold one.
机译：本研究为水文数据定义了新的插值函数。这些函数可用于生成深度间隔为25 m和空间间隔为30 km的温度-盐度分布的气候图（MEDTRANS数据集）。数据经过严格的初始数据质量控制，并通过了一些过滤程序。在中性密度的表面上进行网格划分，可以在相同的网格划分半径下更好地表示热盐岩锋。使用网格窗口具有空间可变大小的多遍Barnes最优插值过程。窗口的形状说明了陡峭地形上水质传输的主要沿等温方向。地形与行星β效应的局部比率用于根据地形影响的相对重要性来定义窗口的形状。使用N / f比值来说明地形对水质传输的地形影响的斜斜补偿衰减（与底部之间的距离）。可以在里斯本大学海洋学中心的网站（http://co.fc.ul.pt/en/data）上找到网格化的字段。与其他替代气候相比，MEDTRANS气候学提供了更多有关亚热带东北大西洋水特征分布的详细信息，并且能够再现文献中描述的许多动态特征：亚速尔群岛海流弯道的加速;加的斯湾的旋风回旋;以及Gorringe和Galicia河岸附近两条静脉中的地中海水（MW）流出物的分离和分离。计算得出的暖季（5月至10月）和冷季（11月至4月）的季节气候显示，与冷季相比，暖季期间上层海洋格局的区域扩展更强。

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