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首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >Sea surface height trend and variability at seasonal and interannual time scales in the Southeastern South American continental shelf between 27 degrees S and 40 degrees S
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Sea surface height trend and variability at seasonal and interannual time scales in the Southeastern South American continental shelf between 27 degrees S and 40 degrees S

机译:南美洲东南部大陆架在27度至40度之间的季节性和年际尺度上的海面高度趋势和变化

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Recent improvements in satellite altimetry data correction terms are encouraging studies of the remote sensed sea level anomalies (SLA) progressively closer to the coast and over shallow continental shelves. In this paper we describe and discuss the SLA trend and variability at seasonal and interannual time scales in the southeastern South American continental shelf influenced by the Rio de la Plata estuary and the Patos Lagoon fresh waters. The spatio-temporal coverage of the gridded altimetry SLA data allows identify several variability patterns and the associated physical processes. On seasonal time scales, the combination of the solar radiation and wind forcing cycles accounts for up to 98% of the variability. Seasonal variability of the wind is responsible for a difference of up to 16 cm between the southern (Argentinean) Rio de la Plata estuary coast and the Uruguayan and southern Brazilian coasts. On interannual time scales, positiveegative SLA anomalies are coherent with El Ninoo/La Nina events. Finally, a significant positive trend of up to 5 mm yr(-1) is found in all the study area except in the region around the Patos Lagoon (Brazil) and part of the Rio de la Plata. Besides the local relevance of the results, this study indicates that satellite altimetry data are accurate enough to unveil SLA spatio-temporal patterns close to the coast and over continental shelves in the mentioned time scales. (C) 2014 Elsevier Ltd. All rights reserved.
机译:卫星测高数据校正术语的最新改进鼓励了对靠近沿海和浅大陆架的遥感海平面异常(SLA)的研究。在本文中,我们描述和讨论了在南美东南大陆架受里约热内卢河口和Patos泻湖淡水影响的季节和年际尺度上的SLA趋势和变化。网格测高SLA数据的时空覆盖范围允许识别几种可变性模式和相关的物理过程。在季节性时间尺度上,太阳辐射和强迫风循环的组合最多可达到98%的可变性。风的季节性变化导致南部(阿根廷)里约热内卢河口海岸与乌拉圭和巴西南部海岸之间的最大差异为16 cm。在年际时间尺度上,正/负SLA异常与El Ninoo / La Nina事件是一致的。最后,在除帕托斯泻湖(巴西)和里约热内卢的部分地区以外的所有研究区域中,发现高达5 mm yr(-1)的显着正趋势。除了结果的局部相关性外,这项研究还表明,卫星测高数据足够准确,可以揭示上述时间范围内靠近海岸和大陆架的SLA时空模式。 (C)2014 Elsevier Ltd.保留所有权利。

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