Volume 47, Issue 15 e2020GL088339
Research Letter

Using Multiple Large Ensembles to Elucidate the Discrepancy Between the 1979–2019 Modeled and Observed Antarctic Sea Ice Trends

R. Chemke,

Corresponding Author

R. Chemke

Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA

Correspondence to:

R. Chemke,

rc3101@columbia.edu

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L. M. Polvani,

L. M. Polvani

Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA

Department of Earth and Environmental Sciences, Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA

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First published: 08 July 2020
Citations: 5

Abstract

In spite of the unabated emissions of greenhouse gases into the atmosphere, sea ice around Antarctica has increased over most of the satellite era. Such an increase is not captured by climate models, which simulate a melting over the same period. Over the last few years, moreover, the observed sea ice trends have drastically changed, and this might act to cancel the models-observations discrepancy. Here we show that in spite of the very recent Antarctic sea ice trend changes, such discrepancy still exists. Analyzing multiple large ensembles of model simulations, we elucidate the origin of the models-observations discrepancy. We show that internal variability cannot account for the discrepancy, which therefore is likely to stem from biases in the models' forced response to the external forcing. These biases, we show, reside in thermodynamic ocean-atmosphere coupling, as models fail to simulate the trends in surface heat fluxes from reanalyses over the period 1979–2019.

Data Availability Statement

The NSIDC data are available at https://nsidc.org, the Multi-Model Large Ensemble Archive at https://www.cesm.ucar.edu/projects/community-projects/MMLEA/, the CMIP5 data at https://esgf-node.llnl.gov/projects/cmip5/, the Era-Interim at https://www.ecmwf.int, the CFSR2 at https://rda.ucar.edu/, the MERRA2 at https://esgf.nccs.nasa.gov/projects/create-ip/, and the SOM-LE upon request (rc3101@columbia.edu).