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Drivers of summer Arctic sea-ice extent at interannual time scale in CMIP6 large ensembles revealed by information flow

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posted on 2025-07-24, 15:57 authored by David Docquier, François Massonnet, Francesco RagoneFrancesco Ragone, Annelies Sticker, Thierry Fichefet, Stéphane Vannitsem
<p dir="ltr">Arctic sea-ice extent has strongly decreased since the beginning of satellite observations in the late 1970s. While several drivers are known to be implicated, their respective contribution is not fully understood. Here, we apply the Liang-Kleeman information flow method to five different large ensembles from the Coupled Model Intercomparison Project Phase 6 (CMIP6) over the 1970-2060 period to investigate the extent to which fluctuations in winter sea-ice volume, air temperature and ocean heat transport drive changes in subsequent summer Arctic sea-ice extent. This allows us to go beyond classical correlation analyses. Results show that air temperature is the most important controlling factor of summer sea-ice extent at interannual time scale, and that winter sea-ice volume and Atlantic Ocean heat transport play a secondary role. If we replace air temperature by net shortwave and downward longwave radiations, we find that the sum of influences from both radiations is almost similar to the air temperature influence, with the longwave radiation being dominant in driving changes in summer sea-ice extent. Finally, we find that the influence of air temperature is more prominent during periods of large sea-ice reduction and that this temperature influence has overall increased since 1970.</p>

History

Author affiliation

College of Science & Engineering Comp' & Math' Sciences

Version

  • VoR (Version of Record)

Published in

Scientific Reports

Volume

14

Issue

1

Publisher

Springer Science and Business Media LLC

eissn

2045-2322

Copyright date

2024

Available date

2025-07-24

Language

en

Deposited by

Mr Francesco Ragone

Deposit date

2025-06-23

Data Access Statement

All CMIP670 model outputs (except CESM2) used in this study (historical and SSP3-7.0 simulations) were retrieved from the Earth System Grid Federation (ESGF) nodes: https://esgf-index1.ceda.ac.uk/search/cmip6-ceda/. Table 1 provides the references of the model simulations used. CESM274 model outputs were retrieved from the National Center for Atmospheric Research (NCAR) Climate Data Gateway: https://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2le.output.html. The observed sea-ice extent from OSI SAF2 can be accessed through the EUMETSAT repository: https://doi.org/10.15770/EUM_SAF_OSI_0022. The PIOMAS51 sea-ice volume data can be accessed via the Polar Science Center of the University of Washington: http://psc.apl.uw.edu/research/projects/arctic-sea-ice-volume-anomaly. The HadCRUT584 near-surface temperature was retrieved from the Climatic Research Unit (University of East Anglia) and Met Office: https://crudata.uea.ac.uk/cru/data//temperature/. The ORAS552 ocean temperature and velocity data were accessed via the portal of the Center for Earth System Research and Sustainability (CEN) from the University of Hamburg: https://www.cen.uni-hamburg.de/icdc/data/ocean/easy-init-ocean/ecmwf-oras5.html. The CERES85 surface heat flux data were retrieved from the NASA CERES Data Products: https://ceres.larc.nasa.gov/data/. The Python script to compute the Liang-Kleeman rate of information transfer is available on GitHub: https://github.com/Climdyn/Liang_Index_climdyn.

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