Climate Dynamics

, Volume 53, Issue 11, pp 6715–6727 | Cite as

Quantifying the importance of interannual, interdecadal and multidecadal climate natural variabilities in the modulation of global warming rates

  • Meng Wei
  • Fangli QiaoEmail author
  • Yongqing Guo
  • Jia Deng
  • Zhenya Song
  • Qi Shu
  • Xiaodan Yang


Despite the monotonically rising greenhouse gas emission, global warming rate changes again and again, especially the slowdown during 1998–2013, challenging the current global temperature change mechanisms. Recently, different-scale natural climate variabilities have been individually recognized as the potential causes of global warming rate change, particularly the recent warming slowdown, but disagreements still exist on their relative importance. Here we quantify the contribution of interannual, interdecadal and multidecadal variabilities (IAV, IDV and MDV) in modulating the global warming rate during the period 1850–2017 via decomposing the global mean temperature timeseries derived from 12 datasets into several quasi-periodic fluctuations and a monotonical secular trend (ST) using the ensemble empirical mode decomposition method. Our results show that the IAV, IDV and MDV dominate the global warming rate change together, rather than one-scale variability alone. For example, during 1998–2013 both the IAV and IDV present obvious negative trends and combine to cut 59 ± 22% of global mean surface temperature (GMST) and 65 ± 38% of sea surface temperature (SST) positive trends which are caused by the steadily warming ST and the warming phase of MDV, thus causing an apparent warming slowdown during this period. Furthermore, we illustrate that the IAV, IDV and MDV mainly originate from the El Niño-Southern oscillation (ENSO), Pacific decadal oscillation (PDO) and Atlantic multidecadal oscillation (AMO), respectively. Our work partly reconciles the controversy over the importance of different-scale natural variabilities, and provides some insights for climate change attribution and prediction research.


Global warming slowdown Hiatus Natural climate variability ENSO PDO AMO 



We thank all the data providers. M Wei is supported by National Natural Science Foundation of China (NSFC) (No. 41806043) and the Basic Scientific Fund for National Public Research Institutes of China (No. GY0219Q08). F Qiao is jointly supported by the NSFC (No. 41821004), the NSFC-Shandong Joint Fund for Marine Science Research Centers (No. U1606405) and the International cooperation project of Indo-Pacific ocean environment variation and air-sea interaction (No. GASI-IPOVAI-05). Z Song is supported by International cooperation project on the China-Australia Research Centre for Maritime Engineering of Ministry of Science and Technology, P. R. China (No. 2016YFE0101400) and AoShan Talents Cultivation Excellent Scholar Program Supported by Qingdao National Laboratory for Marine Science and Technology (No. 2017ASTCP-ES04). Q Shu is supported by the Basic Scientic Fund for National Public Research Institute of China (ShuXingbei Young Talent Program 2019S06).

Supplementary material

382_2019_4955_MOESM1_ESM.docx (2 mb)
Supplementary material 1 (DOCX 2003 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Meng Wei
    • 1
    • 2
    • 3
  • Fangli Qiao
    • 1
    • 2
    • 3
    Email author
  • Yongqing Guo
    • 4
  • Jia Deng
    • 1
    • 2
    • 3
  • Zhenya Song
    • 1
    • 2
    • 3
  • Qi Shu
    • 1
    • 2
    • 3
  • Xiaodan Yang
    • 1
    • 2
    • 3
  1. 1.First Institute of OceanographyMinistry of Natural Resources of the People’s Republic of ChinaQingdaoChina
  2. 2.Laboratory for Regional Oceanography and Numerical ModelingPilot National Laboratory for Marine Science and Technology (Qingdao)QingdaoChina
  3. 3.Key Laboratory of Marine Science and Numerical ModelingMinistry of Natural Resources of the People’s Republic of ChinaQingdaoChina
  4. 4.Marine Science and Technology CollegeZhejiang Ocean UniversityZhoushanChina

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