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Satellite Remote Sensing of Submesoscale Fronts in Inner Seas

机译:卫星遥感在内部海洋中的亚斯科

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The work studies submesoscale fronts (with characteristic transverse scales lower than the Rossby internal radius of deformation) in inland seas on the base of remote sensing data. We show that we can significantly broaden our insights into the physics and geography of small-scale fronts by employing satellite synthetic aperture radar (SAR). During our satellite survey of the Baltic Sea, we obtained many satellite images of the sea surface bearing imprints of fronts of different formation mechanisms and different spatial and temporal characteristics. First we develop a methodology for identifying various submesoscale front signatures in SAR images and list the most common features of front manifestations. We describe characteristic features associated with fronts of different nature which are not usually detectable by traditional observational data sources because of their small scale and because they are often masked by upper-level clouds. The main problem is to discriminate between signatures of fronts in the sea and those in the near-surface layer of the atmosphere. We validated our interpretations of front features in SAR images via the combined analysis of data on the sea surface and marine atmosphere condition, sea surface temperature, and mesoscale water dynamics.
机译:在遥感数据基部的内陆海域中,工作研究亚尺度前线(具有低于Rossby横向尺度的特征横向尺度)。我们表明,我们可以通过采用卫星合成孔径雷达(SAR)来显着扩大对小规模前方的物理和地理的见解。在我们对波罗的海的卫星调查中,我们获得了许多海面卫星图像的海面轴承轴承的不同形成机制和不同的空间和时间特征。首先,我们开发一种用于在SAR图像中识别各种子尺度前签名的方法,并列出前表现形式的最常见功能。我们描述了与不同性质的前面相关的特征特征,这些特征通常由于其规模小而通常是传统的观察数据来源,并且因为它们通常被上层云掩盖。主要问题是区分海洋中的前部的签名和大气的近表面层之间的签名。我们通过对海面和海洋气氛条件,海表面温度和Mescle水动力学的数据的组合分析来验证了SAR图像中的前方特征的解释。

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