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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery
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Measurements of an oceanic front using a front-following algorithm for AVHRR SST imagery

机译:使用前跟算法对AVHRR SST影像进行海洋前锋的测量

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摘要

The Subtropical Front (STF) is a global front which extends around the Southern Ocean and is the boundary where the Subantarctic Surface Water mass (SAW) converges with the Subtropical Surface Water mass (SAW) converges with the Subtropical Surface Water mass (STW). The Southland Front (SF) is part of the STF, which lies off the east coast of the South Island, New Zealand. The SF is narrow, approximately 8 km, with a temperature difference of approximately 8 km, with a temperature difference of approximately 1.8 degreesC which can be detected using remote sensing Advanced Very High Resolution Radiometer (AVHRR) sea surface temperature (SST) data. The work presented here is an application of remote sensing for the first detailed study of the surface spatial and temporal variability of the SF. The variability of the SF was quantified using an algorithm developed to follow the Front using AVHRR SST imagery. The algorithm used a new approach to determine the position, mean SST, SST difference, width, and gradient across the Front. Three time scales of variability were examined: long-term (3 years), annual, and seasonal. The algorithm efficiently followed the SF and consistently showed the 3-year mean position was stable and constrained by the bathymetry of the continental slope. Seasonally, the front moved inshore during summer. The temperature gradient across the front was strongest and the front narrowest in winter. The decrease in SST gradient during the 3-year data set coincided with the decrease in Southern Oscillation Index (SOI). (C) Elsevier Science Inc., 2001. [References: 38]
机译:亚热带锋面(STF)是一个围绕南大洋延伸的全球锋线,是亚南极地表水量(SAW)与亚热带地表水量(SAW)会合的边界。南国阵线(SF)是STF的一部分,该队位于新西兰南岛的东海岸。 SF狭窄,大约8 km,温度差大约8 km,温度差大约1.8°C,可以使用遥感超高分辨率高分辨率辐射计(AVHRR)海面温度(SST)数据进行检测。此处介绍的工作是遥感的应用,是对SF的表面时空变化的首次详细研究。 SF的可变性通过使用AVHRR SST图像遵循Front的算法进行量化。该算法使用一种新方法来确定整个Front的位置,平均SST,SST差,宽度和坡度。研究了三个时间尺度的变异性:长期(3年),年度和季节性。该算法有效地遵循了SF,并且始终显示3年平均位置稳定且受大陆坡测深法的约束。季节性地,前线在夏季移至近岸。冬季,整个锋面的温度梯度最大,最窄。在3年的数据集中,SST梯度的下降与南方涛动指数(SOI)的下降相吻合。 (C)Elsevier Science Inc.,2001年。[参考文献:38]

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