Arctic Sea Ice in CMIP6

We examine CMIP6 simulations of Arctic sea‐ice area and volume. We find that CMIP6 models produce a wide spread of mean Arctic sea‐ice area, capturing the observational estimate within the multimodel ensemble spread. The CMIP6 multimodel ensemble mean provides a more realistic estimate of the sensit...

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Bibliographic Details
Main Author: SIMIP Community
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2020
Subjects:
sea ice
CMIP6
Arctic
climate models
model evaluation
Arctic Ocean
Global warming
Sea ice
Online Access:https://discovery.ucl.ac.uk/id/eprint/10104438/1/2019GL086749.pdf
https://discovery.ucl.ac.uk/id/eprint/10104438/
Description
Summary:We examine CMIP6 simulations of Arctic sea‐ice area and volume. We find that CMIP6 models produce a wide spread of mean Arctic sea‐ice area, capturing the observational estimate within the multimodel ensemble spread. The CMIP6 multimodel ensemble mean provides a more realistic estimate of the sensitivity of September Arctic sea‐ice area to a given amount of anthropogenic CO2 emissions and to a given amount of global warming, compared with earlier CMIP experiments. Still, most CMIP6 models fail to simulate at the same time a plausible evolution of sea‐ice area and of global mean surface temperature. In the vast majority of the available CMIP6 simulations, the Arctic Ocean becomes practically sea‐ice free (sea‐ice area <1 × 106 km2) in September for the first time before the Year 2050 in each of the four emission scenarios SSP1‐1.9, SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5 examined here.

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