| 西北太平洋多源微波辐射计海表温度数据交叉比对分析 |
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| 引用本文： | 奚萌,宋清涛,林明森,李文君.西北太平洋多源微波辐射计海表温度数据交叉比对分析[J].海洋学报,2016,38(7):32-47. |
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| 作者姓名： | 奚萌 宋清涛 林明森 李文君 |
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| 作者单位： | 1.国家海洋局 国家卫星海洋应用中心, 北京 100081 |
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| 基金项目： | 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)。 |
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| 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100 km以内海域的数据应当慎用。
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| 关 键 词： | 海表温度 微波辐射计 Argo浮标 西北太平洋 统计分析 |
| 收稿时间： | 2015/6/29 0:00:00 |
Intercomparison analysis of multi-microwave radiometer sea surface temperature data for the Northwest Pacific |
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| Xi Meng,Song Qingtao,Lin Mingsen and Li Wenjun.Intercomparison analysis of multi-microwave radiometer sea surface temperature data for the Northwest Pacific[J].Acta Oceanologica Sinica (in Chinese),2016,38(7):32-47. |
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| Authors: | Xi Meng Song Qingtao Lin Mingsen and Li Wenjun |
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| Affiliation: | 1.National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China2.National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China;Key Laboratory of Space Ocean Remote Sensing and Applications, Beijing 100081, China3.National Marine Environmental Monitoring Center, State Oceanic Administration, Dalian 116023, China |
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| Abstract: | Sea surface temperature (SST) products are important data sources for global ocean atmosphere system studies, and of great importance for research and applications in marine related fields. Focusing on the Northwest Pacific, three microwave radiometer SST products (AMSR-2, TMI and WindSat) have been analyzed and compared with Argo during 2013 and 2014 in this paper, and intercomparison analysis among seniors. It includes SST analysis, SST gradient analysis, the observation point analysis, the matching point analysis, bias analysis, root mean square error analysis, monthly statistics analysis and SST error bar analysis. The results suggest that the overall trend of the variability changes of the three microwave radiometer SST products is consistent in the Northwest Pacific. Remote sensing data and buoy data have seasonal cycles. The SST data quality of AMSR-2 is more ideal than TMI and WindSat. The difference of SST data quality between AMSR-2 and TMI is smaller than WindSat and TMI. However, for sea area within 100 km of offshore, whether to use the data gathered by AMSR-2 and TMI needs to be taken into consideration. |
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| Keywords: | sea surface temperature microwave radiometer Argo data the Northwest Pacific statistical analysis |
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