Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5219-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-5219-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Dec 2023
Research article |
| 08 Dec 2023
| 08 Dec 2023
Multidecadal variability and predictability of Antarctic sea ice in the GFDL SPEAR_LO model
Application Laboratory, VAiG, JAMSTEC, Yokohama, Kanagawa, Japan
Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, New Jersey, USA
Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey, USA
Liping Zhang
Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, New Jersey, USA
Cooperative Programs for the Advancement of Earth System Science, University Corporation for Atmospheric Research, Boulder, Colorado, USA
Thomas L. Delworth
Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, New Jersey, USA
Xiaosong Yang
Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, New Jersey, USA
Fanrong Zeng
Geophysical Fluid Dynamics Laboratory, NOAA, Princeton, New Jersey, USA
Masami Nonaka
Application Laboratory, VAiG, JAMSTEC, Yokohama, Kanagawa, Japan
Swadhin K. Behera
Application Laboratory, VAiG, JAMSTEC, Yokohama, Kanagawa, Japan
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Short summary
Antarctic sea ice extent shows multidecadal variations with its decrease in the 1980s and increase after the 2000s until 2015. Here we show that our climate model can predict the sea ice decrease by deep convection in the Southern Ocean and the sea ice increase by the surface wind variability. These results suggest that accurate simulation and prediction of subsurface ocean and atmosphere conditions are important for those of Antarctic sea ice variability on a multidecadal timescale.
Antarctic sea ice extent shows multidecadal variations with its decrease in the 1980s and...
