https://acp.copernicus.org/articles/23/5835/2023/

*Authors*
Abolfazl Rezaei <[email protected]>, Khalil Karami, Simone Tilmes, and John
C. Moore
*Citation*: Rezaei, A., Karami, K., Tilmes, S., and Moore, J. C.: Changes
in global teleconnection patterns under global warming and stratospheric
aerosol intervention scenarios, Atmos. Chem. Phys., 23, 5835–5850,
https://doi.org/10.5194/acp-23-5835-2023, 2023.

Received: 22 Sep 2022 – Discussion started: 16 Nov 2022 – Revised: 12 Apr
2023 – Accepted: 14 Apr 2023 – *Published: 26 May 2023*
*Abstract*

We investigate the potential impact of stratospheric aerosol intervention
(SAI) on the spatiotemporal behavior of large-scale climate teleconnection
patterns represented by the North Atlantic Oscillation (NAO), Pacific
Decadal Oscillation (PDO), El Niño–Southern Oscillation (ENSO) and Atlantic
Multidecadal Oscillation (AMO) indices using simulations from the Community
Earth System Model versions 1 and 2 (CESM1 and CESM2). The leading
empirical orthogonal function of sea surface temperature (SST) anomalies
indicates that greenhouse gas (GHG) forcing is accompanied by increases in
variance across both the North Atlantic (i.e., AMO) and North Pacific
(i.e., PDO) and a decrease over the tropical Pacific (i.e., ENSO); however,
SAI effectively reverses these global-warming-imposed changes. The
projected spatial patterns of SST anomaly related to ENSO show no
significant change under either global warming or SAI. In contrast, the
spatial anomaly pattern changes pertaining to the AMO (i.e., in the North
Atlantic) and PDO (i.e., in the North Pacific) under global warming are
effectively suppressed by SAI. For the AMO, the low contrast between the
cold-tongue pattern and its surroundings in the North Atlantic, predicted
under global warming, is restored under SAI scenarios to similar patterns
as in the historical period. The frequencies of El Niño and La Niña
episodes modestly increase with GHG emissions in CESM2, while SAI tends to
compensate for them. All climate indices' dominant modes of inter-annual
variability are projected to be preserved in both warming and SAI
scenarios. However, the dominant decadal variability mode changes in the
AMO, NAO, and PDO induced by global warming are not suppressed by SAI.

*Source: EGU*

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