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    Volume 43 Issue 3
    Mar.  2018
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    Article Contents
    Zhao Song, Chang Fengming, Li Tiegang, Zhuang Lihua, Xiong Zhifang, Xu Ye, 2018. Seasonal and Inter-Annual Anomalies of Sea Surface Temperature Offshore Northeastern Taiwan and Its Implication to Historical Climate Reconstructions. Earth Science, 43(3): 851-861. doi: 10.3799/dqkx.2018.908
    Citation: Zhao Song, Chang Fengming, Li Tiegang, Zhuang Lihua, Xiong Zhifang, Xu Ye, 2018. Seasonal and Inter-Annual Anomalies of Sea Surface Temperature Offshore Northeastern Taiwan and Its Implication to Historical Climate Reconstructions. Earth Science, 43(3): 851-861. doi: 10.3799/dqkx.2018.908

    Seasonal and Inter-Annual Anomalies of Sea Surface Temperature Offshore Northeastern Taiwan and Its Implication to Historical Climate Reconstructions

    doi: 10.3799/dqkx.2018.908
    • Received Date: 2017-11-20
    • Publish Date: 2018-03-15
    • Seasonal and inter-annual anomalies of sea surface temperature (SST) are very important for recognizing modern global warming, reconstructing historical climate changes and discussing mechanisms of climate changes. However, the related researches of SST offshore northeastern Taiwan are not enough. Based on NOAA's monthly SST data, monthly SST data from Hadley Center and monthly Multivariate ENSO Index (MEI), the seasonal and inter-annual anomalies of SST and their influencing factors offshore northeastern Taiwan under the background of modern global warming are analyzed in order to further understand modern global warming and historical climate changes. On seasonal timescales, winter SST always displays greater variation range than summer SST, and its influence on the annual mean SST and SST seasonality is more serious, which could be contributed to the effects of East Asian Winter Monsoon (EAWM). Modern instrumental data and paleoclimate records show that greater variabilities of winter SST than summer SST possibly also exist on the inter-annual-centennial timescales. On inter-annual timescales, the SST anomalies offshore northeastern Taiwan exhibit a good lag correlation to MEI Index indicating the significant effect of ENSO on SST anomalies through the robust role of EAWM. It is crucial to distinguish the different multi-scales of climate change and seasonal explanations of temperature proxies when reconstructing the past temperature variation. And, insight to the responses of historical climate to ENSO and EAWM would be helpful to further understand the cause of modern global warming.

       

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