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首页> 外文期刊>Journal of marine systems: journal of the European Association of Marine Sciences and Techniques >Exploiting oceanographic satellite data to study the small scale coastal dynamics in a NE Atlantic open embayment
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Exploiting oceanographic satellite data to study the small scale coastal dynamics in a NE Atlantic open embayment

机译:利用海洋卫星数据研究东北大西洋东北部开放通道中的小规模沿海动力学

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摘要

An approach to the processing and analysis of oceanographic satellite data is presented suitable for its use in coastal areas. Satellite images of a small (300km2) open embayment in the NW of the Iberian Peninsula (Seno de Corcubión) are used to study a decade of time series of three important oceanographic variables: sea surface temperature (SST), chlorophyll a concentration ([Chlo]) and turbidity (K490). Their interannual and seasonal trends, together with the regional variability, are assessed using a Generalized Linear Model (GLM). We identify seasonal upwelling-downwelling processes, on top of interannual trends that show that coastal dynamics is not directly driven by the oceanic trend. To study spatial patterns the study area was divided in subareas; these subareas show significant differences among them in seasonal as well as in interannual scales. Using this information, some oceanographic hypotheses were tested based on the statistical significance of the variable residual dependencies: a possible relationship between SST and turbidity (found to be not significant in the study area), and the presence of short-term upwelling events reported by other researchers in this geographical region (not found statistically significant either). A database and an oceanographic atlas summarizing all the information used in the analyses have been generated and can be freely visualized online and downloaded.
机译:提出了一种适合于在沿海地区使用的海洋卫星数据处理和分析方法。在伊比利亚半岛西北部(Seno deCorcubión)的一个小的(300 km2)敞开式小路的卫星图像用于研究三个重要海洋学变量的十年时间序列:海面温度(SST),叶绿素a浓度([Chlo ])和浊度(K490)。使用通用线性模型(GLM)评估了它们的年际和季节趋势以及区域变异性。除了年际趋势外,我们还发现季节性上升-下降过程,这些趋势表明沿海动力并非直接由海洋趋势驱动。为了研究空间格局,将研究区域划分为多个子区域。这些分区在季节和年度尺度上显示出显着差异。利用这些信息,根据可变残余依存关系的统计显着性检验了一些海洋学假设:SST和浊度之间可能存在的关系(在研究区域中发现不显着),以及由报告的短期上升事件该地理区域中的其他研究人员(也没有发现统计学意义)。已经生成了一个数据库和一个海洋地图集,概述了分析中使用的所有信息,可以免费在线对其进行可视化和下载。

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