| Yang Hua,Gao Qingqing,Ji Huifeng,He Peidong,Zhu Tianmao. 2019. Sea surface temperature data from coastal observation stations: quality control and semidiurnal characteristics. Acta Oceanologica Sinica, 38(11):31－39 |
| Sea surface temperature data from coastal observation stations: quality control and semidiurnal characteristics |
| 沿海观测站海表温度质量控制和半日特征分析 |
| Received:August 07, 2018 |
| DOI：10.1007/s13131-019-1496-1 |
| Key words:sea surface temperature|data quality control|semidiurnal cycle|tidal movement|coastal observations |
| 中文关键词: 海表温度 数据质量控制 半日周期 潮汐运动 沿海观测资料 |
| 基金项目:The Open Fund of State Key Laboratory of Satellite Ocean Environment Dynamics under contract No. SOED1402; the Youth Science and Technology Foundation of East China Sea Branch, SOA under contract No. 201624. |
| Author Name | Affiliation | E-mail | | Yang Hua | Nantong Marine Environmental Monitoring Center Station, State Oceanic Administration, Nantong 226002, China | | | Gao Qingqing | 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 | gqqlady@163.com | | Ji Huifeng | Nantong Marine Environmental Monitoring Center Station, State Oceanic Administration, Nantong 226002, China | | | He Peidong | Nantong Marine Environmental Monitoring Center Station, State Oceanic Administration, Nantong 226002, China | | | Zhu Tianmao | Nantong Marine Environmental Monitoring Center Station, State Oceanic Administration, Nantong 226002, China | |
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| 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. |
| 中文摘要: |
| 利用江苏沿海2010-2014年海表温度资料，开展了海表温度的质量控制研究和时间尺度变化特征分析，并初步探讨了海表温度半日周期与潮汐变化的相互关系。数据质量控制包括极值检验以及时间连续性检验。对逐时海表温度进行时间连续性检验，0.15℃/h是检测异常值的较为合适的阈值。海表温度日变化的幅度在春夏季节要高于秋冬季节。在绝大多数日期，海表温度日变化曲线具有明显的双峰结构，即海表温度具有显著的半日周期，且该半日周期与潮汐日变化具有很好的相关性。在3-8月，海表温度日变化与潮汐日变化呈负位相关系，在10月至1月呈正位相关系；在其他月份，相关性表现不明显。沿海海表温度数据的质量控制和理解对于间接测量数据诸如卫星观测数据的验证尤其相关。 |
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