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Journal of Tropical Oceanography >

2015 , Vol. 34 >Issue 4: 12 - 22

DOI: https://doi.org/10.11978/j.issn.1009-5470.2015.04.002

Marine Hydrography

Analysis of spatiotemporal variability of global sea surface temperature anomalies during 1900~2009

  • LI Gang ,
  • LI Chong-yin ,
  • JIANG Xiao-hua ,
  • ZHANG Ying ,
  • LIU Kai ,
  • TAN Yan-ke ,
  • BAI Tao
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  • 1.Xichang Satellite Launch Center, Xichang 615000, China;
    2. College of Meteorology and Oceanography, People's Liberation Army University of Science and Technology, Nanjing 211101, China;
    3. State Key Laboratory of Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;
    4. No. 94188 Troops of People's Liberation Army, Xi’an 710077, China

Received date: 2014-11-17

  Online published: 2015-08-21

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Abstract

Based on the NOAA (National Oceanic and Atmospheric Administration, NOAA) monthly global Extended Reconstruction sea surface temperature (ERSST V3) data and using the Rotated Empirical Orthogonal Function (REOF) method, the spatiotemporal variability of the dominant modes of the global sea surface temperature anomalies (SSTA) from 1900 to 2009 is studied. The results show that the first mode of global SSTA with significant interannual variability represents the variability of El Niño and Southern Oscillation (ENSO) and the relationship between ENSO and the global SSTA. The second and fifth modes show pronounced interdecadal variability in the North Pacific. The second mode may have a close spatial relationship with both the Pacific Decadal Oscillation (PDO) and the Pacific Interdecadal Pathway (PIP), while the fifth mode may have a close temporal relationship with the PDO. The third and sixth modes represent multidecadal fluctuations in the North Atlantic; the former may have a close relationship with the Atlantic Multidecadal Oscillation (AMO) that is connected to the tripolar SSTA pattern of the North Atlantic, and the latter is associated with the uniform SSTA pattern of the North Atlantic. The fourth mode represents interdecadal variability with a large response in the South Pacific, poleward of 30°S, and this mode seems to have no relationship with the PDO.

Key words： the global; SSTA; the Rotated Empirical Orthogonal Function; interannual and interdecadal time scales

Cite this article

LI Gang , LI Chong-yin , JIANG Xiao-hua , ZHANG Ying , LIU Kai , TAN Yan-ke , BAI Tao . Analysis of spatiotemporal variability of global sea surface temperature anomalies during 1900~2009[J]. Journal of Tropical Oceanography, 2015 , 34(4) : 12 -22 . DOI: 10.11978/j.issn.1009-5470.2015.04.002

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