Arctic Sea Ice in CMIP6
Creators
- Notz, Dirk1
- Dörr, Jakob1
- Bailey, David A2
- Blockley, Ed3
- Bushuk, Mitchell4
- Boldingh Debernard, Jens5
- Dekker, Evelien6
- DeRepentigny, Patricia7
- Docquier, David6
- Fučkar, Neven S.8
- Fyfe, John C.9
- Jahn, Alexandra7
- Holland, Marika10
- Hunke, Elizabeth11
- Iovino, Doroteaciro12
- Khosravi, Narges13
- Gurvan, Madec14
- Massonnet, François15
- O'Farrell, Siobhan16
- Petty, Alek17
- Rana, Arun15
- Roach, Lettie18
- Rosenblum, Erica19
- Rousset, Clement20
- Semmler, Tido13
- Stroeve, Julienne21
- Toyoda, Takahiro22
- Tremblay, Bruno23
- Tsujino, Hiroyuki24
- Vancoppenolle, Martin20
- 1. Max Planck Institute for Meteorology
- 2. Climate and Global Dynamics Laboratory
- 3. Met Office Hadley Centre
- 4. Geophysical Fluid Dynamics Laboratory
- 5. Norwegian Meteorological Institute
- 6. Swedish Meteorological and Hydrological Institute
- 7. University of Colorado Boulder
- 8. University of Oxford
- 9. Environment and Climate Change Canada
- 10. National Center for Atmospheric Research, Boulder
- 11. Los Alamos National Laboratory
- 12. Centro Euro‐Mediterraneo sui Cambiamenti Climatici
- 13. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
- 14. Sorbonne Université
- 15. Georges Lematre Centre for Earth and Climate Research
- 16. CSIRO Oceans and Atmosphere
- 17. NASA Goddard Space Flight Center
- 18. University of Washington
- 19. Centre for Earth Observation Science, University of Manitoba
- 20. Sorbonne Universitié
- 21. University College London
- 22. Meteorological Research Institute, Japan Meteorological Agency
- 23. Department of Atmospheric and Oceanic Sciences, McGill University
- 24. Meteorological Research Institute, Japan Meteorological Agency, Japan
Description
Abstract:
We examine CMIP6 simulations of the 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 the 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.
Files
2019GL086749.pdf
Files
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