Intercomparison of historical sea surface temperature datasets
Intercomparison of historical sea surface temperature datasets
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DOI：
10.1002/joc.2104
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
S. Yasunaka;K. Hanawa
中科院分区：
文献类型：
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作者：
S. Yasunaka;K. Hanawa
比较了7个历史海表温度（SST）数据集：Hadley中心海冰和SST数据集（HadISST），第1版;基于百年原位观测的SSTs估计（COBE）;全球SST扩展重建（ERSST），第3版;拉蒙-多尔蒂地球观测站（LDEO）的最佳平滑分析;国际综合海洋大气数据集2.1版（ICOADS）的每月摘要;第二个哈德利中心SST（HadSST）;以及东北大学（TOHOKU）作者的SST。30年气候和气候异常的标准差存在差异，特别是在观测稀疏的地区和时期。数据集之间的相关性主要取决于观测数据的数量。除ICOADS数据外，所有数据集的全球平均值均彼此一致。厄尔尼诺/南方涛动（ENSO）的信号在1880年之后彼此高度相关，尽管每个事件的持续时间和强度都不同。太平洋年代际涛动（PDO）的时间变化在1950年以后对应较好，在1880年以前随时间推移逐渐变差，并分散。这些差异归因于对缺失网格使用不同的插值方法、卫星数据的处理、仪器偏差校正方法和其他因素。皇家气象学会
Seven historical sea surface temperature (SST) datasets are compared with each other: the Hadley Center sea ice and SST dataset (HadISST), version 1; the centennial in situ observation‐based estimate of SSTs (COBE); the extended reconstruction of global SST (ERSST), version 3; the optimal smoothing analysis by the Lamont‐Doherty Earth Observatory (LDEO); the monthly summaries of the International Comprehensive Ocean‐Atmosphere Data Set Release 2.1 (ICOADS); the second Hadley Center SST (HadSST); and SSTs by the authors at Tohoku University (TOHOKU). Differences in 30‐year climatologies and standard deviations of anomalies from the climatologies exist, especially in observation‐sparse areas and periods. Correlation among the datasets mainly depends on the number of observational data. Global means from all datasets are consistent with each other except for those from ICOADS. Signals of the El Niño/Southern Oscillation (ENSO) correlate highly with each other after 1880, although the durations and intensities of each event are different. Temporal variations of the Pacific Decadal Oscillation (PDO) correspond well after 1950, become gradually worse backward in time and are scattered before 1880. These differences are ascribed to the use of different interpolation methods for missing grids, treatments of satellite‐derived data, instrumental bias correction methods and other factors. Copyright © 2011 Royal Meteorological Society