nerc.ac.uk

CMIP6 Models Rarely Simulate Antarctic Winter Sea‐Ice Anomalies as Large as Observed in 2023

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. https://doi.org/10.1029/2024GL109265

Before downloading, please read NORA policies.
[img]
Preview
Text (Open Access)
© 2024. The Authors.
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.

Download (1MB) | Preview

Abstract/Summary

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.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1029/2024GL109265
ISSN: 0094-8276
Additional Keywords: Antarctica, sea ice variability, CMIP6, climate models, Southern Ocean
Date made live: 21 May 2024 09:28 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/537462

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...