Sea surface temperature data from coastal observation stations: quality control and semidiurnal characteristics

Yang Hua; Gao Qingqing; Ji Huifeng; He Peidong; Zhu Tianmao

doi:10.1007/s13131-019-1496-1

Article Contents

Article Navigation > Acta Oceanologica Sinica > 2019 > 38(11): 31-39

Yang Hua, Gao Qingqing, Ji Huifeng, He Peidong, Zhu Tianmao. Sea surface temperature data from coastal observation stations: quality control and semidiurnal characteristics[J]. Acta Oceanologica Sinica, 2019, 38(11): 31-39. doi: 10.1007/s13131-019-1496-1

Citation:

Yang Hua, Gao Qingqing, Ji Huifeng, He Peidong, Zhu Tianmao. Sea surface temperature data from coastal observation stations: quality control and semidiurnal characteristics[J]. Acta Oceanologica Sinica, 2019, 38(11): 31-39. doi: 10.1007/s13131-019-1496-1

Citation:

Yang Hua, Gao Qingqing, Ji Huifeng, He Peidong, Zhu Tianmao. Sea surface temperature data from coastal observation stations: quality control and semidiurnal characteristics[J]. Acta Oceanologica Sinica, 2019, 38(11): 31-39. doi: 10.1007/s13131-019-1496-1

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Sea surface temperature data from coastal observation stations: quality control and semidiurnal characteristics

doi: 10.1007/s13131-019-1496-1

1.
Nantong Marine Environmental Monitoring Center Station, State Oceanic Administration, Nantong 226002, China
2.
Nantong Marine Environmental Monitoring Center Station, State Oceanic Administration, Nantong 226002, China;State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China

Received Date: 2018-08-07

Abstract

Abstract

Sea surface temperature (SST) data obtained from coastal stations in Jiangsu, China during 2010–2014 are quality controlled before analysis of their characteristic semidiurnal and seasonal cycles, including the correlation with the variation of the tide. Quality control of data includes the validation of extreme values and checking of hourly values based on temporally adjacent data points, with 0.15℃/h considered a suitable threshold for detecting abnormal values. The diurnal variation amplitude of the SST data is greater in spring and summer than in autumn and winter. The diurnal variation of SST has bimodal structure on most days, i.e., SST has a significant semidiurnal cycle. Moreover, the semidiurnal cycle of SST is negatively correlated with the tidal data from March to August, but positively correlated with the tidal data from October to January. Little correlation is detected in the remaining months because of the weak coastal–offshore SST gradients. The quality control and understanding of coastal SST data are particularly relevant with regard to the validation of indirect measurements such as satellite-derived data.
- sea surface temperature|data quality control|semidiurnal cycle|tidal movement|coastal observations,

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References(40)

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