首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Detection and variability of the Congo River plume from satellite derived sea surface temperature, salinity, ocean colour and sea level
【24h】

Detection and variability of the Congo River plume from satellite derived sea surface temperature, salinity, ocean colour and sea level

机译:从卫星衍生的海面温度,盐度,海洋颜色和海平面检测刚果河羽流及其变化

获取原文
获取原文并翻译 | 示例
           

摘要

Despite its size and importance the dispersal, variability and dynamics of the Congo River plume have until recently been minimally documented. In this paper we analyse remotely sensed sea surface temperature, sea level anomaly, salinity and chlorophyll concentration from 2010 to describe and quantify the extent, strength and seasonality of the plume and to explain its behaviour in relation to winds, ocean currents and fresh water discharge. Empirical Orthogonal Function (EOF) analysis reveals strong seasonal and coastal upwelling signals, potential bimodal seasonality and responses to fresh water discharge peaks in all data sets. Salinity and chlorophyll are significantly negatively correlated (- 0.4 to - 0.9) across a 500 km~2 zone west of the river mouth. Lagged correlations with river discharge show the westward translation, dispersal and strengthening of a similar sized region of positive chlorophyll-discharge and negative salinity-discharge correlations. Peaks in chlorophyll lag the discharge by 1-4 months, although it is not possible from ocean colour alone to distinguish increases in chlorophyll resulting from the dispersal of nutrient rich river discharge from other physical and biological mechanisms that promote changes in surface chlorophyll, or indeed have confidence that the signal has not been contaminated by other optically active substances. The strongest plume-like signatures from EOF analysis are found in the salinity and colour data sets, which are then also analysed using a statistically based water mass detection technique to isolate the behaviour of the plume. The validity of the technique is checked against ARGO profiles. Throughout the year the main axis of the fresh water plume extends between 400 and 1000 km, northwest along the coastline, or west-southwest out into the open south Atlantic. Changes in the magnitude and direction of wind stress and hence wind driven surface currents are the principal driving force behind this far-field variability, although the strength and direction of the Angola and Benguela Coastal currents may also play a role. The mean surface salinity within the plume and its surface area have qualitative links to the seasonal cycle in river discharge and wind stress.
机译:尽管它的大小和重要性,但直到最近才对刚果河羽流的扩散,变化和动态进行了最少的记录。本文分析了2010年以来的遥感海表温度,海平面异常,盐度和叶绿素浓度,以描述和量化羽流的程度,强度和季节性,并解释其与风,洋流和淡水排放的关系。 。经验正交函数(EOF)分析揭示了所有数据集中强烈的季节性和沿海上升信号,潜在的双峰季节性以及对淡水排放峰值的响应。在河口以西500 km〜2区域,盐度和叶绿素呈显着负相关(-0.4至-0.9)。与河流流量的滞后相关性表明,类似大小的正叶绿素排放量和负盐度排放量相关区域向西平移,扩散和增强。叶绿素的峰值滞后了1-4个月,尽管仅靠海洋颜色是不可能的,因为营养丰富的河流排放物的散布导致叶绿素的增加与其他促进表层叶绿素变化的物理和生物学机制不同,有信心信号不会被其他光学活性物质污染。在盐度和颜色数据集中发现了来自EOF分析的最强羽状特征,然后使用基于统计的水量检测技术对其进行分析,以隔离羽状行为。根据ARGO配置文件检查该技术的有效性。全年,淡水羽流的主轴线在400至1000公里之间延伸,沿着海岸线向西北延伸,或者从西南偏西延伸到开放的南大西洋。风应力的大小和方向的变化以及因此驱动的地表电流是这种远场变化的主要驱动力,尽管安哥拉和本格拉沿海电流的强度和方向也可能起作用。羽流中的平均表面盐度及其表面积与河流流量和风应力的季节性周期有定性联系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号