The detecting and adjusting of the sea surface temperature data homogeneity over coastal zone of circum Bohai Sea

Li Yan; Mu Lin; Wang Guosong; Fan Wenjing; Liu Kexiu; Li Huan; Zhang Zengjian

doi:10.3969/j.issn.0253-4193.2016.03.003

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Li Yan, Mu Lin, Wang Guosong, Fan Wenjing, Liu Kexiu, Li Huan, Zhang Zengjian. The detecting and adjusting of the sea surface temperature data homogeneity over coastal zone of circum Bohai Sea[J]. Haiyang Xuebao, 2016, 38(3): 27-39. doi: 10.3969/j.issn.0253-4193.2016.03.003

Citation:

Li Yan, Mu Lin, Wang Guosong, Fan Wenjing, Liu Kexiu, Li Huan, Zhang Zengjian. The detecting and adjusting of the sea surface temperature data homogeneity over coastal zone of circum Bohai Sea[J]. Haiyang Xuebao, 2016, 38(3): 27-39. doi: 10.3969/j.issn.0253-4193.2016.03.003

Citation:

Li Yan, Mu Lin, Wang Guosong, Fan Wenjing, Liu Kexiu, Li Huan, Zhang Zengjian. The detecting and adjusting of the sea surface temperature data homogeneity over coastal zone of circum Bohai Sea[J]. Haiyang Xuebao, 2016, 38(3): 27-39. doi: 10.3969/j.issn.0253-4193.2016.03.003

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The detecting and adjusting of the sea surface temperature data homogeneity over coastal zone of circum Bohai Sea

doi: 10.3969/j.issn.0253-4193.2016.03.003

1.
National Marine Data and Information Service, Tianjin 300171, China;Key Lab of Global Change and Marine-Atmospheric Chemistry, State Oceanic Administration, Xiamen 361005, China
2.
National Marine Data and Information Service, Tianjin 300171, China

Received Date: 2015-03-16
Rev Recd Date: 2015-07-21

Abstract

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.
- 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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References(32)

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