EGU2020-5439
https://doi.org/10.5194/egusphere-egu2020-5439
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

A Global-scale Multidecadal Variability Driven by Atlantic Multidecadal Oscillation

Young-Min Yang
Young-Min Yang
  • Nanjing University of Information Science and Technology,Department of Atmospheric science,Nanjing, China(youngminyang2@gmail.com)

Observational analysis shows that there is a predominant global-scale multidecadal variability (GMV) of sea surface temperature (SST). Its horizontal pattern resembles that of the Interdecadal Pacific Oscillation (IPO) in the Pacific and the Atlantic multidecadal oscillation (AMO) in the Atlantic Ocean, which could affect global precipitation and temperature over globe. Here, we demonstrate that the GMV could be driven by the Atlantic multidecadal oscillation (AMO) through atmospheric teleconnections and atmosphere-ocean coupling processes. Observations reveal a strong negative correlation when AMO leads GMV by approximately 4–8 yrs. Pacemaker experiments using a climate model driven by observed AMO signals reveal that the tropical Atlantic warm SST anomalies of AMO initiate anomalous cooling in the equatorial central-eastern Pacific through atmospheric teleconnections. Anticyclonic anomalies in the North and South Pacific induce equatorward winds along the coasts of North and South America, contributing to further cooling. The upper ocean dynamics plays a minor role in GMV formation but contributes to a delayed response of the IPO to the AMO forcing. The possible impact of the GMV on AMO was also tested by prescribing only Pacific SST in the model, however, the model could not reproduce the observed phase relationship between the AMO and GMV. These results support the hypothesis that the Atlantic Ocean plays a key role in the multidecadal variability of global SST.

How to cite: Yang, Y.-M.: A Global-scale Multidecadal Variability Driven by Atlantic Multidecadal Oscillation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5439, https://doi.org/10.5194/egusphere-egu2020-5439, 2020

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