| 环渤海沿岸海表温度资料的均一性检验与订正 |
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| 引用本文： | 李琰,牟林,王国松,范文静,刘克修,李欢,张增健.环渤海沿岸海表温度资料的均一性检验与订正[J].海洋学报,2016,38(3):27-39. |
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| 作者姓名： | 李琰 牟林 王国松 范文静 刘克修 李欢 张增健 |
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| 作者单位： | 1.国家海洋信息中心, 天津 300171;国家海洋局海洋-大气化学与全球变化重点实验室, 福建厦门 361005 |
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| 基金项目： | 国家自然科学基金项目(41106004,41376014);国家海洋局海洋-大气化学与全球变化重点实验室开放基金(GCMAC1402);国家科技支撑计划项目(2014BAB12B00);天津市科技计划项目(14ZCZDSF00012);国家海洋局公益性行业科研专项经费项目(201005019)。 |
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| 摘 要： | 本文对环渤海沿岸具有代表性且资料完整的6个海洋观测站的月均海表温度(SST)序列作均一性检验和订正。我国海洋观测站密集度低,难以选择参考序列,本文首先采用不依赖参考序列的惩罚最大F检验(PMFT)方法对SST序列检验,利用详尽的元数据对检验结果进行确认,再对不连续点订正,该方法适用于元数据详尽的海洋观测站。对于元数据不详尽的观测站,使用惩罚最大T检验(PMT)方法,选取与海洋台站距离近且相关显著的气象观测站的均一化地面气温序列来制作参考序列,对SST序列进行检验和订正。结果表明,环渤海地区SST序列都存在一定非均一性,观测站较大距离迁移和观测系统变更(从人工观测到自动化观测)是造成非均一性的重要原因。订正后的环渤海地区年平均SST增温趋势更加明显。本文使用不同方法来检验SST序列的均一性,该思路对沿海其他海区观测站SST均一性检验和订正有一定参考价值和应用前景,可为沿海气候变化研究提供科学准确的第一手资料。
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| 关 键 词： | 惩罚最大F检验 PMFT 惩罚最大T检验 PMT 环渤海沿岸 海表温度 SST 均一性检验 |
| 收稿时间： | 2015/3/16 0:00:00 |
| 修稿时间： | 2015/7/21 0:00:00 |
The detecting and adjusting of the sea surface temperature data homogeneity over coastal zone of circum Bohai Sea |
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| Li Yan,Mu Lin,Wang Guosong,Fan Wenjing,Liu Kexiu,Li Huan and Zhang Zengjian.The detecting and adjusting of the sea surface temperature data homogeneity over coastal zone of circum Bohai Sea[J].Acta Oceanologica Sinica (in Chinese),2016,38(3):27-39. |
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| Authors: | Li Yan Mu Lin Wang Guosong Fan Wenjing Liu Kexiu Li Huan and Zhang Zengjian |
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| Institution: | 1.National Marine Data and Information Service, Tianjin 300171, China;Key Lab of Global Change and Marine-Atmospheric Chemistry, State Oceanic Administration, Xiamen 361005, China2.National Marine Data and Information Service, Tianjin 300171, China |
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| Abstract: | Monthly Sea Surface Temperature (SST) data of 6 coastal observation stations over coastal zone of circum Bohai Sea are chosen in the experimental homogeneity study. The work is expected to find a method to homogenize the monthly historical SST data in China. The coastal observation stations have the low density and it is hard to find homogeneous series for use as reference series. In light of the situation, two road maps are adopted to test the homogeneity of the SST series. Firstly, the penalized maximum F Test (PMFT) method which does not rely on reference series was chosen to detect change points. The resulting change points are then synthesized and verified by available metadata. Then, quantile-matching algorithm was used to adjust the SST series to diminish discontinuities. This method was suitable to the coastal observation stations with detailed metadata. However, for the coastal observation stations without enough metadata, penalized maximum T test (PMT) which relies on reference series was used. Here, we use air surface temperature data series from nearly meteorological stations that are highly positively correlated with the base series to construct reference series. Testing results show that some inhomogeneities exist in the whole SST series in the region. Observational system change is found to be the main cause for discontinuities, followed by station relocation. It is found that the annual mean SST trend has changed obviously and homogeneity is improved well after adjustment. Results show that the warming rate of SST series after adjustment is larger than that before adjustment. In our study, a combination of the two different methods is proved to be necessary and possible, and it shows reasonability and application values in the homogeneity study of SST data in China. The results could provide a more reliable data set of homogenized in a longer period for the climate studies over offshore areas of China. |
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| Keywords: | PMFT penalized maximal F test PMFT penalized maximal F test coastal zone of Circum Bohai Sea sea surface temperature homogeneity tests |
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