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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Error Characterization of Sea Surface Salinity Products Using Triple Collocation Analysis
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Error Characterization of Sea Surface Salinity Products Using Triple Collocation Analysis

机译：利用三重配置分析法表征海表盐度产品的误差

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摘要

The triple collocation (TC) technique allows the simultaneous calibration of three independent, collocated data sources, while providing an estimate of their accuracy. In this paper, the TC is adapted to validate different salinity data products along the tropical band. The representativeness error (the true variance resolved by the relatively high-resolution systems but not by the relatively low-resolution system) is accounted for in the validation process. A method based on the intercalibration capabilities of TC is used to estimate the representativeness error for each triplet, which is found to impact between 15% and 50% the error estimation of the different products. The method also sorts the different products in terms of their resolving spatiotemporal scales. Six salinity products (sorted from smaller to larger scales) used were: thenin situndata from the Global Tropical Moored Buoy Array (TAO), the GLORYS2V3 ocean reanalysis output provided by Copernicus, the satellite-derived Aquarius Level 3 version 4 (AV4) and Soil Moisture and Ocean Salinity (SMOS) objectively analyzed (SOA) maps, and the climatology maps provided by the World Ocean Atlas (WOA). This calibration study is limited to the year 2013, a year when all the products were available. This validation approach aims to assess the quality of the different salinity products at the satellite-resolved spatiotemporal scales. The results show that, at the AV4 resolved scales, the Aquarius product has an error of 0.17, and outperforms TAO, GLORYS2V3, and the SOA maps. However, at the SOA resolved scales (which are coarser than those of the Aquarius product because of the large OA correlation radii used), the SMOS product has an error of 0.20, slightly lower than that of GLORYS2V3, Aquarius, and TAO. The WOA products show the highest errors. Higher order calibration may lead to a more accurate assessment of the quality of the climatological products.
机译：三重并置（TC）技术允许同时校准三个独立的并置数据源，同时提供其准确性的估计值。在本文中，TC适用于验证热带带沿线的不同盐度数据产品。在验证过程中考虑了代表性误差（由相对高分辨率的系统解决，但由相对较低分辨率的系统解决的真实方差）。使用基于TC的相互校准能力的方法来估计每个三元组的代表性误差，发现该误差会影响不同产品的误差估计在15％到50％之间。该方法还根据解决时空尺度对不同产品进行分类。使用了六种盐度产品（从小到大分类）：then 来自全球热带系泊浮标阵列（TAO）的原位数据，哥白尼提供的GLORYS2V3海洋再分析输出，源自卫星的水瓶座3级4版（AV4）和土壤湿度和海洋盐度（SMOS）客观分析（SOA）图，以及世界海洋地图集（WOA）提供的气候图。这项校准研究仅限于2013年，即所有产品都可用的一年。这种验证方法旨在在卫星解析的时空尺度上评估不同盐度产品的质量。结果表明，在AV4分辨率下，Aquarius产品的误差为0.17，并且优于TAO，GLORYS2V3和SOA映射。但是，在SOA解析尺度下（由于使用了较大的OA相关半径，它比Aquarius产品的尺度要粗糙），SMOS产品的误差为0.20，略低于GLORYS2V3，Aquarius和TAO的误差。 WOA产品显示最高错误。更高阶的校准可能导致对气候产品质量的更准确评估。

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