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首页> 外文期刊>Continental Shelf Research: A Companion Journal to Deep-Sea Research and Progress in Oceanography >Space-time variability of the Amazon River plume based on satellite ocean color
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Space-time variability of the Amazon River plume based on satellite ocean color

机译:基于卫星海洋颜色的亚马逊河羽流的时空变化

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Satellite ocean color images were used to determine the space-time variability of the Amazon River plume from 2000-2004. The relationship between sea-surface salinity (SSS) and the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) absorption coefficient for dissolved and detrital material (a(dg)) (r(2)=0.76, n=30, rmse=0.4) was used to identify the Amazon River plume low-salinity waters (<34 psu). The plume's spatial information was extracted from satellite bi-weekly time series using two metrics: plume area and plume shape. These metrics identified the seasonal variability of plume dimensions and dispersion patterns. During the study period, the plume showed the largest areas from July to August and the smallest from December to January. The mean annual amplitude and the mean, maximum and minimum plume areas were 1020 x 10(3)km(2), 680 x 10(3)km(2), 1506 x 10(3) km(2) and 268 X 10(3) km(2), respectively. Three main shapes and dispersion pattern periods were identified: (1) flow to the northeastern South American coast, in a narrow band adjacent to the continental shelf, from January to April; (2) flow to the Caribbean region, from April to July; and (3) flow to the Central Equatorial Atlantic Ocean, from August to December. Cross-correlation techniques were used to quantify the relationship between the plume's spatial variability and environmental forcing factors, including Amazon River discharge, wind field and ocean currents. The results showed that (1) river discharge is the main factor influencing plume area variability, (2) the wind field regulates the plume's northwestward flow velocity and residence time near the river mouth, and (3) surface currents have a strong influence over river plume dispersion patterns.
机译:卫星海洋彩色图像用于确定2000-2004年亚马逊河烟流的时空变化。溶解性和碎屑物质(a(dg))的海面盐度(SSS)与海景宽视场传感器(SeaWiFS)的吸收系数之间的关系(r(2)= 0.76,n = 30, rmse = 0.4)用于识别亚马逊河羽状低盐度水(<34 psu)。羽流的空间信息是使用两个度量标准从卫星双周时间序列中提取的:羽流面积和羽流形状。这些度量标准确定了羽流尺寸和扩散模式的季节性变化。在研究期间,羽流在7月至8月的面积最大,而12月至1月的面积最小。年平均振幅以及平均,最大和最小羽流面积分别为1020 x 10(3)km(2),680 x 10(3)km(2),1506 x 10(3)km(2)和268 X 10 (3)km(2)。确定了三个主要形状和弥散模式周期:(1)从一月到四月,流向南美大陆东北海岸,在与大陆架相邻的狭窄带中; (2)4月至7月流向加勒比海地区; (3)8月至12月流向中赤道大西洋。互相关技术用于量化羽流的空间变异性与环境强迫因素之间的关系,包括亚马逊河流量,风场和洋流。结果表明:(1)河流流量是影响羽流面积变化的主要因素;(2)风场控制着羽流向西北流动的速度和在河口附近的停留时间;(3)地表流对河流的影响很大。羽状扩散模式。

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