Small-Scale Variability in Sea Surface Salinity and Implications for Satellite-Derived Measurements
Small-Scale Variability in Sea Surface Salinity and Implications for Satellite-Derived Measurements
复制标题
海面盐度的小尺度变化及其对卫星测量的影响
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
R. Ponte
中科院分区：
文献类型：
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作者：
N. Vinogradova;R. Ponte
摘要水瓶座和土壤湿度和海洋盐度（SMOS）卫星任务的校准和验证工作涉及卫星和海面盐度（SSS）现场测量的比较。这种对 SSS 的估计可能会因小规模变异的存在而有所不同，这可能会影响原位点测量，但由于卫星反演的足迹较大，因此可以在卫星反演中进行平均。这项研究根据空间变异性的不同采样，量化了现场和卫星 SSS 测量之间的预期差异有多大。小尺度噪声产生的采样误差图（此处定义为“本地”和足迹平均 SSS 估计值之间的均方根差）是使用全球高分辨率海洋数据同化系统的解决方案得出的。一些地区的误差大多为 0.2 psu，特别是在强流和主要河流的流出附近。为检查...
AbstractCalibration and validation efforts of the Aquarius and Soil Moisture and Ocean Salinity (SMOS) satellite missions involve comparisons of satellite and in situ measurements of sea surface salinity (SSS). Such estimates of SSS can differ by the presence of small-scale variability, which can affect the in situ point measurement, but be averaged out in the satellite retrievals because of their large footprint. This study quantifies how much of a difference is expected between in situ and satellite SSS measurements on the basis of their different sampling of spatial variability. Maps of sampling error resulting from small-scale noise, defined here as the root-mean-square difference between “local” and footprint-averaged SSS estimates, are derived using a solution from a global high-resolution ocean data assimilation system. The errors are mostly 0.2 psu in several regions, particularly near strong currents and outflows of major rivers. To examine s...