| 西北太平洋海表温度融合产品交叉比对分析 |
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| 引用本文： | 奚萌,宋清涛,李文君,邹斌,林明森.西北太平洋海表温度融合产品交叉比对分析[J].海洋学报,2017,39(12):136-152. |
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| 作者姓名： | 奚萌 宋清涛 李文君 邹斌 林明森 |
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| 作者单位： | 1.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）";国家基金委——山东省联合基金项目"海洋环境动力学和数值模拟"（U1606405）。 |
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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2007-2014年的3个海表温度融合数据（AVHRR OISST,MISST和OSTIA）的产品特性与Argo浮标进行了真实性检验,并对融合产品进行了交叉比对分析。结果表明,3个融合产品在空间尺度上均能反映西北太平洋海域的海表温度变化趋势。融合数据与Argo浮标的平均偏差在±0.1℃之间,均方根误差小于0.9℃。融合数据与浮标数据存在明显的季节性变化,其中冬季融合数据与浮标数据的平均偏差和均方根误差较小。在高纬海域,融合产品和浮标存在正偏差。与另两个融合产品相比,OSTIA的数据质量与Argo浮标最为接近。3个融合产品在近岸和高纬海域差异较大,三者对海冰的标识和处理方式不同对融合结果也有影响。在2012年6月之前MISST和OSTIA的海表温度数据质量更为接近,但在此之后MISST存在系统误差。红外数据、微波数据和实测数据作为输入数据,是制作高时空分辨率高精度海表温度融合产品必不可少的要素。
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| 关 键 词： | 海表温度 融合产品 Argo数据 西北太平洋 统计分析 |
| 收稿时间： | 2016/11/26 0:00:00 |
| 修稿时间： | 2017/5/13 0:00:00 |
Intercomparison analysis of merging sea surface temperature products for the Northwest Pacific Ocean |
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| Xi Meng,Song Qingtao,Li Wenjun,Zou Bin and Lin Mingsen.Intercomparison analysis of merging sea surface temperature products for the Northwest Pacific Ocean[J].Acta Oceanologica Sinica (in Chinese),2017,39(12):136-152. |
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| Authors: | Xi Meng Song Qingtao Li Wenjun Zou Bin and Lin Mingsen |
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| Institution: | 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, Dalian 116023, China |
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| Abstract: | Sea surface temperature products are significant data sources for global ocean atmosphere system studies, and play an important role for research and applications in marine related fields. Focusing on the Northwest Pacific Ocean, three merging SST products (AVHRR OISST, MISST and OSTIA) have been validated and compared with Argo, and intercomparison analysis among merging products during 2007 to 2014 in this paper. The results suggest that the overall trend of the variability changes of the three merging products is consistent in the study area. Bias is ±0.1℃ and root mean square error is less than 0.9℃ between merging products and Argo. Comparisons of merging data and buoy data have obvious seasonal cycles especially, bias and root mean square error are smaller in winter. There are positive deviation in the high latitude area. The data quality of OSTIA is more ideal than other merging products. The differences of data among merging products are relatively large in coastal and high latitude sea area. When sea ice is processed in different ways, merging products will be affected strongly. Before June 2012, the data qualities of SST are much closer between MISST and OSTIA, but henceforth MISST exists system deviation. Infrared data, microwave data and situ data as input data are essential elements in order to produce high temporal-spatial resolution and high precision of merging SST products. |
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| Keywords: | sea surface temperature merging products Argo data the Northwest Pacific Ocean statistical analysis |
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