TY - JOUR
T1 - The 2023 global warming spike was driven by the El Niño–Southern Oscillation
AU - Raghuraman, Shiv Priyam
AU - Soden, Brian
AU - Clement, Amy
AU - Vecchi, Gabriel
AU - Menemenlis, Sofia
AU - Yang, Wenchang
N1 - We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing their model output and making it available, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies that support CMIP6 and ESGF. We thank the anonymous referee, Mika Rantanen, and Ales Kuchar for their comments. This research has been supported by the National Oceanic and Atmospheric Administration (grant no. NA21OAR4310351).
This research has been supported by the National Oceanic and Atmospheric Administration (grant no. NA21OAR4310351).
PY - 2024/10/10
Y1 - 2024/10/10
N2 - Global-mean surface temperature rapidly increased 0.29 ± 0.04 K from 2022 to 2023. Such a large interannual global warming spike is not unprecedented in the observational record, with a previous instance occurring in 1976–1977. However, why such large global warming spikes occur is unknown, and the rapid global warming of 2023 has led to concerns that it could have been externally driven. Here we show that climate models that are subject only to internal variability can generate such spikes, but they are an uncommon occurrence (p = 1.6 % ± 0.1 %). However, when a prolonged La Niña immediately precedes an El Niño in the simulations, as occurred in nature in 1976–1977 and 2022–2023, such spikes become much more common (p = 10.3 % ± 0.4 %). Furthermore, we find that nearly all simulated spikes (p = 88.5 % ± 0.3 %) are associated with El Niño occurring that year. Thus, our results underscore the importance of the El Niño–Southern Oscillation in driving the occurrence of global warming spikes such as the one in 2023, without needing to invoke anthropogenic forcing, such as changes in atmospheric concentrations of greenhouse gases or aerosols, as an explanation.
AB - Global-mean surface temperature rapidly increased 0.29 ± 0.04 K from 2022 to 2023. Such a large interannual global warming spike is not unprecedented in the observational record, with a previous instance occurring in 1976–1977. However, why such large global warming spikes occur is unknown, and the rapid global warming of 2023 has led to concerns that it could have been externally driven. Here we show that climate models that are subject only to internal variability can generate such spikes, but they are an uncommon occurrence (p = 1.6 % ± 0.1 %). However, when a prolonged La Niña immediately precedes an El Niño in the simulations, as occurred in nature in 1976–1977 and 2022–2023, such spikes become much more common (p = 10.3 % ± 0.4 %). Furthermore, we find that nearly all simulated spikes (p = 88.5 % ± 0.3 %) are associated with El Niño occurring that year. Thus, our results underscore the importance of the El Niño–Southern Oscillation in driving the occurrence of global warming spikes such as the one in 2023, without needing to invoke anthropogenic forcing, such as changes in atmospheric concentrations of greenhouse gases or aerosols, as an explanation.
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U2 - 10.5194/acp-24-11275-2024
DO - 10.5194/acp-24-11275-2024
M3 - Article
AN - SCOPUS:85206451998
SN - 1680-7316
VL - 24
SP - 11275
EP - 11283
JO - Atmospheric Chemistry and Physics
JF - Atmospheric Chemistry and Physics
IS - 19
ER -