Abstract

AbstractUnderstanding the variability of Antarctic sea ice is an ongoing challenge given the limitations of observed data. Coupled climate model simulations present the opportunity to examine this variability in Antarctic sea ice. Here, the daily sea ice extent simulated by the newly released National Center for Atmospheric Research (NCAR) Community Eart h System Model Version 2 (CESM2) for the historical period (1979–2014) is compared to the satellite‐observed daily sea ice extent for the same period. The comparisons are made using a newly developed suite of statistical metrics that estimates the variability of the sea ice extent on timescales ranging from the long‐term decadal to the short term, intraday scales. Assessed are the annual cycle, trend, day‐to‐day change, and the volatility, a new statistic that estimates the variability at the daily scale. Results show that the trend in observed daily sea ice is dominated by subdecadal variability with a weak positive linear trend superimposed. The CESM2 simulates comparable subdecadal variability but with a strong negative linear trend superimposed. The CESM2's annual cycle is similar in amplitude to the observed, key differences being the timing of ice advance and retreat. The sea ice begins its advance later, reaches its maximum later and begins retreat later in the CESM2. This is confirmed by the day‐to‐day change. Apparent in all of the sea ice regions, this behavior suggests the influence of the semiannual oscillation of the circumpolar trough. The volatility, which is associated with smaller scale dynamics such as storms, is smaller in the CESM2 than observed.

Highlights

  • Each year, the total Antarctic sea ice extent (SIE) grows for approximately 225 days to its maximum at the end of winter and retreats for 140 days to its minimum at the end of summer (Handcock & Raphael, 2020), describing what is arguably the most pronounced annual cycle on earth

  • This study is an evaluation of the satellite-era variability in Antarctic sea ice extent simulated by the Community Earth Sys21 tem Model Version 2 (CESM2), using some newly developed metrics from Handcock and Raphael (2020)

  • These metrics examine the variability from the long term trends to the intra-day, giving a detailed picture of the temporal variability of Antarctic sea ice extent simulated by the model

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Summary

Key Points:

Antarctic sea ice extent variability is dominated by sub-decadal variability and that is well represented in the CESM2 simulations. The CESM2 simulates an annual cycle of sea ice extent that is comparable in size to that observed but begins its advance and retreat later. The later retreat of the CESM2 sea ice is potentially related to its simulation of the semi-annual oscillation of the circumpolar trough

Introduction
Results
Annual cycle
Day-to-day change in SIE
Volatility
The Potential role of the Semi-annual Oscillation
Summary and Conclusions
Full Text
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