福建沿海海水表层温度实测数据个例分析
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摘要
采用福建沿海4个站点(包括浮标)2016年的实测水文气象数据,初步分析了不同天气系统影响情况下海表温度的变化特征。研究结果表明:福建沿海月均海温日变化和气温日变化有一定关系,二者都有明显的日变化周期,海温的日变化的峰值略滞后于气温日变化的峰值;无明显天气系统影响时,海温和气温的变化趋势比较一致,有冷空气或台风系统影响时海温和气温的变化趋势不再一致;冷空气系统影响时气温下降的时间从北到南依次滞后,而海温的下降从北到南延迟不明显;7月上升流的作用使得古雷浮标附近海表温度降低,并且周期发生明显改变。
This study preliminarily analyzes observed hydro-meteorological data of four sites(including buoys)along Fujian coastal waters in 2016 to reveal the variation characteristics of sea surface temperature(SST) under the influence of different weather systems. The results show evident diurnal cycle of both monthly-averaged SST and air temperature, in which the peak of SST lags that of air temperature. The variation trends of SST and air temperature exhibits distinct consistence without influence of significant weather system. However, the consistence vanishes with influence of cold air or typhoon. Air temperature starts to decrease from the north to the south under the influence of cold air system, whereas the decrease of SST doesn't show evident lag between the north and south. The SST near Gulei buoy decreases attributed to the upwelling in July with significant variation of its cycle.
This study preliminarily analyzes observed hydro-meteorological data of four sites(including buoys)along Fujian coastal waters in 2016 to reveal the variation characteristics of sea surface temperature(SST) under the influence of different weather systems. The results show evident diurnal cycle of both monthly-averaged SST and air temperature, in which the peak of SST lags that of air temperature. The variation trends of SST and air temperature exhibits distinct consistence without influence of significant weather system. However, the consistence vanishes with influence of cold air or typhoon. Air temperature starts to decrease from the north to the south under the influence of cold air system, whereas the decrease of SST doesn't show evident lag between the north and south. The SST near Gulei buoy decreases attributed to the upwelling in July with significant variation of its cycle.
引文
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[2]余克服.雷琼海区近40年海温变化趋势[J].热带地理,2000,20(2):111-115.
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[4]汤超莲,郑兆勇,游大伟,等.珠江口近30a的SST变化特征分析[J].台湾海峡,2006,25(1):96-101.
[5]庄桦.沿岸海域海温研究进展[J].中国水运,2014,14(2):194-195.
[6]夏华永,古万才.广西沿海海洋站观测海水温度的统计分析[J].海洋通报,2000,19(4):15-21.
[7]赵冬至.中国典型海域赤潮灾害发生规律[M].北京:海洋出版社,2010:326-330.
[8]Hu J Y,Kawamura H,Hong H S,et al.A review of research on the upwelling in the Taiwan Strait[J].Bulletin of Marine Science,2003,73(3):605-628.
[9]Hu J Y,Kawamura H,Li C Y,et al.Review on current and seawater volume transport through the Taiwan Strait[J].Journal of Oceanography,2010,66(5):591-610.
[10]Jiang Y W,Chai F,Wan Z W,et al.Characteristics and mechanisms of the upwelling in the southern Taiwan Strait:a three-dimensional numerical model study[J].Journal of Oceanography,2011,67(6):699-708.
[11]苗馨,胡建宇.用沿岸上升流指数分析中国东南沿岸风生上升流的特征[J].海洋通报,2011,30(3):258-265.
[12]李燕,张建华,刘钦政,等.单站海温短期预报自动化[J].海洋预报,2007,24(4):33-41.
[13]Burg J P.Maximum entropy spectral analysis[C]//Presented at37th annual international SEG meeting.Oklahoma City,USA:Society of Exploration Geophysics,1967.
[14]郑兆勇,周雄,江四义,等.近50年华南沿海SST热事件变化的时空特征[J].热带海洋学报,2010,29(4):14-19.