西北太平洋红外辐射计海表温度数据交叉比对分析

发布时间：2018-07-23 20:09

【摘要】：本文将西北太平洋海域作为研究区域,以2003—2009年的三个海表温度(sea surface temperature,SST)红外产品(AVHRR Pathfinder/NOAA,MODIS/Terra和MODIS/Aqua)为研究对象,分别与Argo浮标数据进行了真实性检验,同时红外产品之间也进行了交叉比对分析。通过评定产品间的差异及使用条件,为融合产品数据源选取和权重分配提供参考依据,用以提高融合产品的数据质量。结果表明,三种红外数据与Argo浮标的平均偏差在±0.2°C之间,均方根误差小于0.8°C,且存在明显的季节性变化,白天的平均偏差均是夏季为正、冬季为负,夜间的平均偏差基本均为负偏差,冬季比夏季的偏差更大,冬季的均方根误差较小;三种红外数据之间的平均偏差在±0.1°C之间,均方根误差小于0.6°C;三个红外产品在空间上均能反映西北太平洋海域的海表温度变化趋势,三个产品之间无明显优劣差异;尽管红外数据的空间覆盖率偏低,但是它提供了高精度和高特征分辨率的数据产品,并弥补了近岸海域缺乏观测数据的不足。
[Abstract]:In this paper, the Northwest Pacific Ocean is taken as the study area, and the AVHRR Pathfinder / NOAA MODIS-Terra and MODIS/Aqua from 2003 to 2009 are used to test the authenticity of the Argo buoy data. At the same time, the cross-analysis of infrared products is also carried out. In order to improve the data quality of the fused products, the data source selection and weight distribution of fusion products can be provided by evaluating the differences and using conditions of the products in order to provide a reference for the selection of data sources and the distribution of weights. The results show that the mean deviation between the three kinds of infrared data and Argo buoy is 卤0.2 掳C, the root mean square error is less than 0.8 掳C, and there is obvious seasonal variation. The average deviation in daytime is positive in summer and negative in winter. The nocturnal mean deviations were basically negative, the deviation in winter was greater than that in summer, the root mean square error in winter was smaller, and the mean deviation between the three kinds of infrared data was 卤0.1 掳C. The root mean square error is less than 0.6 掳C, the three infrared products can reflect the trend of sea surface temperature change in the northwest Pacific Ocean in space, and there is no obvious difference between the three products, although the spatial coverage of infrared data is low. However, it provides high precision and high resolution data and makes up for the lack of observational data in coastal waters.
【作者单位】：国家海洋局国家卫星海洋应用中心;国家海洋局空间海洋遥感与应用研究重点实验室;国家海洋局国家海洋环境监测中心;
【基金】：海洋公益性行业科研专项经费项目,201305032号国家自然科学基金面上项目,41276019号国家基金委-山东省联合基金项目,U1406405号
【分类号】：P715.7;P731.11

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