西北太平洋多源微波辐射计海表温度数据交叉比对分析

发布时间：2018-03-23 09:30

本文选题：海表温度　切入点：微波辐射计　出处：《海洋学报》2016年07期 　论文类型：期刊论文

【摘要】：海表温度产品是研究全球海洋大气系统的重要数据源,在海洋相关领域的研究和应用方面具有重要价值。以西北太平洋海域为研究区域,本文对2013年和2014年3个微波辐射计海表温度产品(AMSR-2,TMI和WindSat)的产品特性和Argo浮标进行了真实性检验,并对3个传感器数据进行了交叉比对分析,具体涉及海表温度分布、温度梯度分布、观测点分布、匹配点分布、平均偏差分布、均方根误差分布、统计分析结果的逐月演变和海表温度误差棒分析。结果表明,3个微波辐射计在空间尺度上都能比较一致地反映西北太平洋海域的海表温度变化趋势。但遥感数据与浮标数据却存在季节性变化和昼夜差异,其中冬季微波数据与浮标数据的平均偏差和均方根误差较小,降轨数据与浮标数据的结果更接近。AMSR-2的海表温度数据质量比TMI和WindSat的海表温度数据更接近Argo数据。相比于WindSat和TMI,AMSR-2和TMI的海表温度数据质量更为接近,但是由于受到近岸陆地信号干扰,AMSR-2和TMI离岸100km以内海域的数据应当慎用。
[Abstract]:Sea surface temperature products (SST) are important data sources for the study of global oceanic and atmospheric systems, and are of great value in the research and application of ocean-related fields. In this paper, the product characteristics and Argo buoys of three microwave radiometer sea surface temperature products (AMSR-2TMI and WindSati) in 2013 and 2014 have been verified, and the data of three sensors have been cross-compared and analyzed, including the distribution of sea surface temperature. Temperature gradient distribution, observation point distribution, matching point distribution, mean deviation distribution, root mean square error distribution, The monthly evolution of statistical analysis results and the error bar analysis of sea surface temperature. The results show that all three microwave radiometers can reflect the variation trend of sea surface temperature in the Northwest Pacific Ocean on a spatial scale in a consistent manner. However, the remote sensing data can reflect the trend of sea surface temperature variation. There are seasonal variations and diurnal differences with buoy data. The mean deviation and root mean square error between microwave data and buoy data in winter are small. The results of falling orbit data and buoy data are more similar to those of .AMSR-2, the quality of sea surface temperature data is closer to that of Argo data than that of TMI and WindSat data, and the quality of sea surface temperature data of WindSat, TMI, AMSR-2 and TMI is closer than that of WindSat and TMI-AMSR-2 data. However, the data within the offshore 100km of TMI and AMSR-2 should be used with caution due to the interference of inshore land signals.
【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——HY-2卫星海洋动力环境探测数据应用服务技术系统与示范(201305032) 基金面上项目“大气对小尺度海表温度结构的响应”(41276019)
【分类号】：P715.7

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