Diamond, Rachel
ORCID: https://orcid.org/0009-0007-9071-139X; Sime, Louise C.
ORCID: https://orcid.org/0000-0002-9093-7926; Holmes, Caroline R.
ORCID: https://orcid.org/0000-0002-3134-555X; Schroeder, David.
2024
CMIP6 Models Rarely Simulate Antarctic Winter Sea‐Ice Anomalies as Large as Observed in 2023.
Geophysical Research Letters, 51 (10), e2024GL109265.
10, pp.
10.1029/2024GL109265
Abstract
In 2023, Antarctic sea-ice extent (SIE) reached record lows, with winter SIE falling to 2.5Mkm2 below the satellite era average. With this multi-model study, we investigate the occurrence of anomalies of this magnitude in latest-generation global climate models. When these anomalies occur, SIE takes decades to recover: this indicates that SIE may transition to a new, lower, state over the next few decades. Under internal variability alone, models are extremely unlikely to simulate these anomalies, with return period >1000 years for most models. The only models with return period <1000 years for these anomalies have likely unrealistically large interannual variability. Based on extreme value theory, the return period is reduced from 2650 years under internal variability to 580 years under a strong climate change forcing scenario.
Documents
537462:223412
Open Access
Geophysical Research Letters - 2024 - Diamond - CMIP6 Models Rarely Simulate Antarctic Winter Sea‐Ice Anomalies as Large as.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
Geophysical Research Letters - 2024 - Diamond - CMIP6 Models Rarely Simulate Antarctic Winter Sea‐Ice Anomalies as Large as.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
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Programmes:
BAS Programmes 2015 > Atmosphere, Ice and Climate
BAS Programmes 2015 > Ice Dynamics and Palaeoclimate
BAS Programmes 2015 > Ice Dynamics and Palaeoclimate
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