| 六种遥感海表温度产品的比对分析 |
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| 引用本文： | 蒋兴伟,奚萌,宋清涛.六种遥感海表温度产品的比对分析[J].海洋学报,2013,35(4):88-97. |
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| 作者姓名： | 蒋兴伟 奚萌 宋清涛 |
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| 作者单位： | 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： | 国家重点基础研究发展计划项目“南海海气相互作用与海洋环流和涡旋演变规律(2011CB403501)”;国家自然科学基金面上项目“中国近海海洋锋面中小尺度海气相互作用及其机理研究(41076012)”;国家自然科学基金面上项目“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(sea surface temperature, SST)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。对2007年1和7月的六种不同SST产品(AVHRR-only, AMSR+AVHRR, NCODA, RSS, RTG-HR和OSTIA)在南大洋阿古拉斯回流(Agulhas Return Current, ARC)与绕极环流交汇区域的产品特性进行了比对统计分析, 包括SST分析、SST梯度分析、统计参数分析和波数谱分析。分析结果表明产品之间SST时空变化分布的整体趋势一致, RTG-HR在空间分布上过于平滑, OSTIA解析的大洋锋面最弱, RSS包含噪声较多, NCODA相对其他产品存在较大偏差。发现在AVHRR数据的覆盖率较好的情况下与以红外数据构建的AVHRR-only相比, AMSR数据并不能提供更多的SST信息, 反而会降低产品的空间解析能力。
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| 关 键 词： | 海表温度 海表温度梯度 统计参数 波数谱 |
| 收稿时间： | 5/3/2012 12:00:00 AM |
| 修稿时间： | 3/5/2013 12:00:00 AM |
A comparison analysis of six sea surface temperature products |
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| JIANG Xingwei,XI Meng and SONG Qingtao.A comparison analysis of six sea surface temperature products[J].Acta Oceanologica Sinica (in Chinese),2013,35(4):88-97. |
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| Authors: | JIANG Xingwei XI Meng and SONG Qingtao |
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| Institution: | National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, 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. Six SST analysis products (AVHRR-only, AMSR+AVHRR, NCODA, RSS, RTG-HR and OSTIA) are compared and evaluated for January and July 2007 near the Agulhas Return Current (ARC) in the south Indian Ocean and the circumpolar circulation regions.The characteristics of the six products are compared in terms of monthly averaged SST analysis, SST gradient, statistical parameter analysis and wavenumber spectra analysis. These results suggest that the overall trend of the variability changes of the SST products is consistent. However, the RTG-HR analysis is much smoother than the other analyses, oceanic front from the OSTIA analysis is the weakest, the RSS is much noisier, and the NCODA analysis exhibits apparent bias. With sufficient satellite infrared observations under cloud-free conditions, it is found that microwave AMSR observations cannot provide more additional SST information, otherwise it will reduce the spatial variability of the SST products. |
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| Keywords: | sea surface temperature sea surface temperature gradient statistical parameter wavenumber spectra |
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