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Increased risk of near term global warming due to a recent AMOC weakening

Earth Sciences

Increased risk of near term global warming due to a recent AMOC weakening

R. Bonnet, D. Swingedouw, et al.

This study, conducted by Rémy Bonnet and colleagues, delves into the striking discrepancy between CMIP6 model predictions and historical temperature observations. By analyzing the IPSL-CM6A-LR model, it reveals that internal variability, particularly an AMOC weakening, may have muted past warming trends, raising concerns about surpassing the critical 2°C warming limit.

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~3 min • Beginner • English
Abstract
Some of the new generation CMIP6 models are characterised by a strong temperature increase in response to increasing greenhouse gases concentration¹. At first glance, these models seem less consistent with the temperature warming observed over the last decades. Here, we investigate this issue through the prism of low-frequency internal variability by comparing with observations an ensemble of 32 historical simulations performed with the IPSL-CM6A-LR model, characterized by a rather large climate sensitivity. We show that members with the smallest rates of global warming over the past 6–7 decades are also those with a large internally-driven weakening of the Atlantic Meridional Overturning Circulation (AMOC). This subset of members also matches several AMOC observational fingerprints, which are in line with such a weakening. This suggests that internal variability from the Atlantic Ocean may have dampened the magnitude of global warming over the historical era. Taking into account this AMOC weakening over the past decades means that it will be harder to avoid crossing the 2 °C warming threshold.
Publisher
Nature Communications
Published On
Oct 20, 2021
Authors
Rémy Bonnet, Didier Swingedouw, Guillaume Gastineau, Olivier Boucher, Julie Deshayes, Frédéric Hourdin, Juliette Mignot, Jérôme Servonnat, Adriana Sima
Tags
CMIP6
temperature increase
greenhouse gases
AMOC weakening
historical warming
climate models
internal variability
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