| 中国沿海海表温度均一性检验和订正 |
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| 引用本文： | 李琰,王国松,范文静,刘克修,王慧,Birger Tinz,Hans von Storch,冯建龙.中国沿海海表温度均一性检验和订正[J].海洋学报,2018,40(1):17-28. |
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| 作者姓名： | 李琰 王国松 范文静 刘克修 王慧 Birger Tinz Hans von Storch 冯建龙 |
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| 作者单位： | 1.国家海洋信息中心, 天津 300171 |
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| 基金项目： | 国家重点研发计划项目（2007YFA0604904）；国家自然科学基金项目（41376014，41706020）；德国汉堡大学CliSAP基金；国家科技支撑计划项目（2014BAB12B00）。 |
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| 摘 要： | 利用惩罚最大T检验（Penalized Maximal T test，PMT）方法，选取均一的邻近气象站为参考站，基于月平均地面气温（SAT）资料，利用相关系数权重平均方法构建参考序列，同时结合元数据信息，对1960-2011年中国沿海27个海洋观测站月平均海表温度（SST）进行了均一性检验与订正，并分析了造成海表温度序列非均一的主要原因。结果表明，中国沿海海洋台站海表温度资料存在较为严重的非均一性问题，几乎所有的台站都存在断点，仪器变更（包括人工观测转自动观测）（占总断点数的52.4%）和迁站（占总断点数的33.3%）是造成序列非均一的主要原因。整套资料负订正量所占比例较高，这种负订正量与人工转自动观测后海表温度观测值偏低有密切关系。这也使得订正后中国沿海平均海表温度趋势与订正前存在明显差异，订正后中国沿海海表温度呈明显的加速上升趋势。
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| 关 键 词： | 海表温度 均一性 PMT方法 |
| 收稿时间： | 2016/12/28 0:00:00 |
The homogeneity study of the sea surface temperature data along the coast of the China Seas |
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| Li Yan,Wang Guosong,Fan Wenjing,Liu Kexiu,Wang Hui,Birger Tinz,Hans von Storch and Feng Jianlong.The homogeneity study of the sea surface temperature data along the coast of the China Seas[J].Acta Oceanologica Sinica (in Chinese),2018,40(1):17-28. |
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| Authors: | Li Yan Wang Guosong Fan Wenjing Liu Kexiu Wang Hui Birger Tinz Hans von Storch and Feng Jianlong |
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| Institution: | 1.National Marine Data and Information Service, Tianjin 300171, China2.German Meteorological Service, Hamburg, Germany3.Helmholtz-Zentrum Geesthacht, Centre for Materials and Coastal Research, Hamburg, Germany |
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| Abstract: | The monthly sea surface temperature (SST) data of 27 marine observation stations have been detected and adjusted by the Penalized Maximal T test (PMT) and the detailed metadata archive. In this study, the homogenous surface air temperature (SAT) data from neighboring meteorological observation stations are used to construct the reference series by correlation coefficient weighted averaged method. Results show that almost all of the stations along coast of the China Seas, the inhomogenities or change points can be detected. Combined with the detailed metadata of each station, the main reasons causing the inhomogenization problems are instrument change (including the change from artificial observation to automations) and relocation, accounting for about 52.4% and 33.3% of the total change points. It is also found that the annual mean SST trend has changed obviously and homogeneity is improved well after adjustment. The warming rate of SST series along the coast of the China Seas after adjustment is much larger than that before adjustment. This phenomenon links tightly to the SST decreasing after automation which leads to the large proportion of negative correction values. |
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| Keywords: | sea surface temperature (SST) homogenity penalized maximal T test (PMT) |
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