EMS Annual Meeting Abstracts
Vol. 21, EMS2024-813, 2024, updated on 05 Jul 2024
https://doi.org/10.5194/ems2024-813
EMS Annual Meeting 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 03 Sep, 18:00–19:30 (CEST), Display time Monday, 02 Sep, 08:30–Tuesday, 03 Sep, 19:30|

Low-frequency variability of Arctic sea ice in CMIP6 historical simulations: model uncertainty and links to northern hemispheric ocean variability 

Elena Bianco1,2,4, Edward Blanchard-Wrigglesworth2, Stefano Materia1,3, Paolo Ruggieri4, Dorotea Iovino1, and Simona Masina1
Elena Bianco et al.
  • 1CMCC Foundation, Bologna, Italy
  • 2University of Washington, Seattle, WA, USA
  • 3Barcelona Supercomputing Center, Barcelona, Spain
  • 4University of Bologna, Bologna, Italy

The variability of Arctic sea ice extent (SIE) on interannual and multi-decadal timescales is examined in 29 models with historical forcing participating in phase 6 of the Coupled Model Intercomparison Project (CMIP6) and in 20th-century sea ice reconstructions. Results show that during a period of low external forcing (1850-1919), interannual SIE variability (IVSIE) is generally well-represented in CMIP6, whereas multi-decadal sea ice variability (MVSIE) exhibits substantial inter-model spread. Specifically, models disagree on the contribution of sea ice variability in the sub-polar North Atlantic to pan-Arctic MVSIE variability. We find that this is associated with differences in models’ sensitivity to northern hemispheric sea surface temperatures. Additionally, we show that while CMIP6 models are generally capable of capturing Arctic SIE trends from the mid-20th century to present day, they tend to underestimate the sea ice decline during the Early Twentieth-Century Warming (ETCW; 1915-1945) relative to observations. These results suggest that model uncertainty on low-frequency timescales originates mainly from the representation of processes coupling Arctic sea ice and northern hemispheric climate variability. Thus, an improved characterization of these processes and their interactions should be an element of priority for the development of next-generation climate models.  

How to cite: Bianco, E., Blanchard-Wrigglesworth, E., Materia, S., Ruggieri, P., Iovino, D., and Masina, S.: Low-frequency variability of Arctic sea ice in CMIP6 historical simulations: model uncertainty and links to northern hemispheric ocean variability , EMS Annual Meeting 2024, Barcelona, Spain, 1–6 Sep 2024, EMS2024-813, https://doi.org/10.5194/ems2024-813, 2024.