Articles | Volume 18, issue 4
https://doi.org/10.5194/tc-18-2141-2024
© Author(s) 2024. 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-18-2141-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Apr 2024
Research article |
| 30 Apr 2024
| 30 Apr 2024
Sources of low-frequency variability in observed Antarctic sea ice
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
Jakob Dörr
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Robert C. J. Wills
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Andrew F. Thompson
Environmental Science and Engineering, California Institute of Technology, Pasadena, California, USA
Marius Årthun
Geophysical Institute, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
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Cited articles
Abernathey, R. P., Cerovecki, I., Holland, P. R., Newsom, E., Mazloff, M., and Talley, L. D.: Water-mass transformation by sea ice in the upper branch of the Southern Ocean overturning, Nat. Geosci., 9, 596–601, 2016. a
Arrigo, K. R. and van Dijken, G. L.: Annual changes in sea-ice, chlorophyll a, and primary production in the Ross Sea, Antarctica, Deep-Sea Res. Pt. II, 51, 117–138, 2004. a
Arrigo, K. R., Worthen, D. L., Lizotte, M. P., Dixon, P., and Dieckmann, G.: Primary production in Antarctic sea ice, Science, 276, 394–397, 1997. a
Bintanja, R., van Oldenborgh, G. J., Drijfhout, S., Wouters, B., and Katsman, C.: Important role for ocean warming and increased ice-shelf melt in Antarctic sea-ice expansion, Nat. Geosci., 6, 376–379, 2013. a
Bretherton, C. S., Smith, C., and Wallace, J. M.: An intercomparison of methods for finding coupled patterns in climate data, J. Climate, 5, 541–560, 1992. a
Campbell, E. C., Wilson, E. A., Moore, G., Riser, S. C., Brayton, C. E., Mazloff, M. R., and Talley, L. D.: Antarctic offshore polynyas linked to Southern Hemisphere climate anomalies, Nature, 570, 319–325, 2019. a
Chung, E.-S., Kim, S.-J., Timmermann, A., Ha, K.-J., Lee, S.-K., Stuecker, M. F., Rodgers, K. B., Lee, S.-S., and Huang, L.: Antarctic sea-ice expansion and Southern Ocean cooling linked to tropical variability, Nat. Clim. Change, 12, 461–468, 2022. a
Crosta, X., Etourneau, J., Orme, L. C., Dalaiden, Q., Campagne, P., Swingedouw, D., Goosse, H., Massé, G., Miettinen, A., McKay, R. M., Dunbar, R. B., Escutia, C., and Ikehara, M.: Multi-decadal trends in Antarctic sea-ice extent driven by ENSO–SAM over the last 2,000 years, Nat. Geosci., 14, 156–160, https://doi.org/10.1038/s41561-021-00697-1, 2021. a
Deser, C.: On the teleconnectivity of the “Arctic Oscillation”, Geophys. Res. Lett., 27, 779–782, 2000. a
Di Lorenzo, E., Cobb, K., Furtado, J., Schneider, N., Anderson, B., Bracco, A., Alexander, M., and Vimont, D.: Central pacific El Nino and decadal climate change in the North Pacific ocean, Nat. Geosci., 3, 762–765, 2010. a
Doddridge, E. W. and Marshall, J.: Modulation of the seasonal cycle of Antarctic sea ice extent related to the Southern Annular Mode, Geophys. Res. Lett., 44, 9761–9768, 2017. a
Dong, Y., Armour, K. C., Battisti, D. S., and Blanchard-Wrigglesworth, E.: Two-way teleconnections between the Southern Ocean and the tropical Pacific via a dynamic feedback, J. Climate, 35, 2667–2682, 2022a. a
Dong, Y., Pauling, A. G., Sadai, S., and Armour, K. C.: Antarctic Ice-Sheet Meltwater Reduces Transient Warming and Climate Sensitivity Through the Sea-Surface Temperature Pattern Effect, Geophys. Res. Lett., 49, e2022GL101249, https://doi.org/10.1029/2022GL101249, 2022b. a
Dong, Y., Polvani, L. M., and Bonan, D. B.: Recent Multi-Decadal Southern Ocean Surface Cooling Unlikely Caused by Southern Annular Mode Trends, Geophys. Res. Lett., 50, e2023GL106142, https://doi.org/10.1029/2023GL106142, 2023. a
Dörr, J. S., Bonan, D. B., Årthun, M., Svendsen, L., and Wills, R. C. J.: Forced and internal components of observed Arctic sea-ice changes, The Cryosphere, 17, 4133–4153, https://doi.org/10.5194/tc-17-4133-2023, 2023. a, b, c, d
Dutrieux, P., De Rydt, J., Jenkins, A., Holland, P. R., Ha, H. K., Lee, S. H., Steig, E. J., Ding, Q., Abrahamsen, E. P., and Schröder, M.: Strong sensitivity of Pine Island ice-shelf melting to climatic variability, Science, 343, 174–178, 2014. a
DuVivier, A. K., Holland, M. M., Landrum, L., Singh, H. A., Bailey, D. A., and Maroon, E.: Impacts of sea ice mushy thermodynamics in the Antarctic on the coupled Earth system, Geophys. Res. Lett., 48, e2021GL094287, https://doi.org/10.1029/2021GL094287, 2021. a
Eayrs, C., Li, X., Raphael, M. N., and Holland, D. M.: Rapid decline in Antarctic sea ice in recent years hints at future change, Nat. Geosci., 14, 460–464, 2021. a
Ferrari, R., Jansen, M. F., Adkins, J. F., Burke, A., Stewart, A. L., and Thompson, A. F.: Antarctic sea ice control on ocean circulation in present and glacial climates, P. Natl. Acad. Sci. USA, 111, 8753–8758, 2014. a
Fogt, R. L. and Bromwich, D. H.: Decadal variability of the ENSO teleconnection to the high-latitude South Pacific governed by coupling with the southern annular mode, J. Climate, 19, 979–997, 2006. a
Fogt, R. L. and Marshall, G. J.: The Southern Annular Mode: variability, trends, and climate impacts across the Southern Hemisphere, Wires Clim. Change, 11, e652, https://doi.org/10.1002/wcc.652, 2020. a, b
Fogwill, C., Turney, C., Menviel, L., Baker, A., Weber, M., Ellis, B., Thomas, Z., Golledge, N., Etheridge, D., Rubino, M., Thornton, D. P., van Ommen, T. D., Moy, A. D., Curran, M. A. J., Davies, S., Bird, M. I., Munksgaard, N. C., Rootes, C. M., Millman, H., Vohra, J., Rivera, A., Mackintosh, A., Pike, J., Hall, I. R., Bagshaw, E. A., Rainsley, E., Bronk-Ramsey, C., Montenari, M., Cage, A. G., Harris, M. R. P., Jones, R., Power, A., Love, J., Young, J., Weyrich, L. S., and Cooper, A.: Southern Ocean carbon sink enhanced by sea-ice feedbacks at the Antarctic Cold Reversal, Nat. Geosci., 13, 489–497, https://doi.org/10.1038/s41561-020-0587-0, 2020. a
Fyfe, J., Gillett, N., and Marshall, G.: Human influence on extratropical Southern Hemisphere summer precipitation, Geophys. Res. Lett., 39, L23711, https://doi.org/10.1029/2012GL054199, 2012. a
Hall, A. and Visbeck, M.: Synchronous variability in the Southern Hemisphere atmosphere, sea ice, and ocean resulting from the annular mode, J. Climate, 15, 3043–3057, 2002. a
Haumann, F. A., Gruber, N., and Münnich, M.: Sea-ice induced Southern Ocean subsurface warming and surface cooling in a warming climate, AGU Adv., 1, e2019AV000132, https://doi.org/10.1029/2019AV000132, 2020. a, b
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 monthly averaged data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.f17050d7, 2023. a
Holland, M. M., Landrum, L., Kostov, Y., and Marshall, J.: Sensitivity of Antarctic sea ice to the Southern Annular Mode in coupled climate models, Clim. Dynam., 49, 1813–1831, 2017. a
Holland, P. R.: The seasonality of Antarctic sea ice trends, Geophys. Res. Lett., 41, 4230–4237, 2014. a
Holland, P. R. and Kwok, R.: Wind-driven trends in Antarctic sea-ice drift, Nat. Geosci., 5, 872–875, 2012. a
Holland, P. R., Bracegirdle, T. J., Dutrieux, P., Jenkins, A., and Steig, E. J.: West Antarctic ice loss influenced by internal climate variability and anthropogenic forcing, Nat. Geosci., 12, 718–724, 2019. a
Jiang, W., Gastineau, G., and Codron, F.: Multicentennial variability driven by salinity exchanges between the Atlantic and the Arctic Ocean in a coupled climate model, J. Adv. Model. Earth Sy., 13, e2020MS002366, https://doi.org/10.1029/2020MS002366, 2021. a
Keeling, R. F. and Stephens, B. B.: Antarctic sea ice and the control of Pleistocene climate instability, Paleoceanography, 16, 112–131, 2001. a
Kosaka, Y. and Xie, S.-P.: Recent global-warming hiatus tied to equatorial Pacific surface cooling, Nature, 501, 403–407, 2013. a
Kostov, Y., Marshall, J., Hausmann, U., Armour, K. C., Ferreira, D., and Holland, M. M.: Fast and slow responses of Southern Ocean sea surface temperature to SAM in coupled climate models, Clim. Dynam., 48, 1595–1609, 2017. a
Lavergne, T., Sørensen, A. M., Kern, S., Tonboe, R., Notz, D., Aaboe, S., Bell, L., Dybkjær, G., Eastwood, S., Gabarro, C., Heygster, G., Killie, M. A., Brandt Kreiner, M., Lavelle, J., Saldo, R., Sandven, S., and Pedersen, L. T.: Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records, The Cryosphere, 13, 49–78, https://doi.org/10.5194/tc-13-49-2019, 2019. a
Lefebvre, W., Goosse, H., Timmermann, R., and Fichefet, T.: Influence of the Southern Annular Mode on the sea ice–ocean system, J. Geophys. Res.-Oceans, 109, C09005, https://doi.org/10.1029/2004JC002403, 2004. a
Li, X., Holland, D. M., Gerber, E. P., and Yoo, C.: Impacts of the north and tropical Atlantic Ocean on the Antarctic Peninsula and sea ice, Nature, 505, 538–542, 2014. a
Lizotte, M. P.: The contributions of sea ice algae to Antarctic marine primary production, Am. Zool., 41, 57–73, 2001. a
Mahlstein, I., Gent, P. R., and Solomon, S.: Historical Antarctic mean sea ice area, sea ice trends, and winds in CMIP5 simulations, J. Geophys. Res.-Atmos., 118, 5105–5110, 2013. a
Marshall, G. J.: Trends in the Southern Annular Mode from observations and reanalyses, J. Climate, 16, 4134–4143, 2003. a
Marzocchi, A. and Jansen, M. F.: Connecting Antarctic sea ice to deep-ocean circulation in modern and glacial climate simulations, Geophys. Res. Lett., 44, 6286–6295, 2017. a
Matear, R. J., O’Kane, T. J., Risbey, J. S., and Chamberlain, M.: Sources of heterogeneous variability and trends in Antarctic sea-ice, Nat. Commun., 6, 8656, https://doi.org/10.1038/ncomms9656, 2015. a
Meehl, G. A., Arblaster, J. M., Chung, C. T., Holland, M. M., DuVivier, A., Thompson, L., Yang, D., and Bitz, C. M.: Sustained ocean changes contributed to sudden Antarctic sea ice retreat in late 2016, Nat. Commun., 10, 1–9, 2019. a
Meier, W., Perovich, D., Farrell, S., Haas, C., Hendricks, S., Petty, A., Webster, M., Divine, D., Gerland, S., Kaleschke, L., Ricker, R., Steer, A., Tian-Kunze, X., Tschudi, M., and Wood, K.: Sea ice, NOAA technical report OAR ARC, 21-05, https://doi.org/10.25923/y2wd-fn85, 2021a. a
Meier, W. N., Fetterer, F., Windnagel, A. K., and Stewart, J. S.: NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4, Boulder, Colorado, USA, National Snow and Ice Data Center [data set], https://doi.org/10.7265/efmz-2t65, 2021b. a
Parkinson, C. L.: A 40-y record reveals gradual Antarctic sea ice increases followed by decreases at rates far exceeding the rates seen in the Arctic, P. Natl. Acad. Sci. USA, 116, 14414–14423, 2019. a
Parkinson, C. L. and Cavalieri, D. J.: Antarctic sea ice variability and trends, 1979–2010, The Cryosphere, 6, 871–880, https://doi.org/10.5194/tc-6-871-2012, 2012. a
Pellichero, V., Sallée, J.-B., Chapman, C. C., and Downes, S. M.: The southern ocean meridional overturning in the sea-ice sector is driven by freshwater fluxes, Nat. Commun., 9, 1–9, 2018. a
Polvani, L., Banerjee, A., Chemke, R., Doddridge, E., Ferreira, D., Gnanadesikan, A., Holland, M., Kostov, Y., Marshall, J., Seviour, W., Solomon, S., and Waugh, D. W.: Interannual SAM modulation of Antarctic sea ice extent does not account for its long-term trends, pointing to a limited role for ozone depletion, Geophys. Res. Lett., 48, e2021GL094871, https://doi.org/10.1029/2021GL094871, 2021. a
Polvani, L. M. and Smith, K. L.: Can natural variability explain observed Antarctic sea ice trends? New modeling evidence from CMIP5, Geophys. Res. Lett., 40, 3195–3199, 2013. a
Purich, A. and England, M. H.: Tropical teleconnections to Antarctic sea ice during austral spring 2016 in coupled pacemaker experiments, Geophys. Res. Lett., 46, 6848–6858, 2019. a
Purich, A., Cai, W., England, M. H., and Cowan, T.: Evidence for link between modelled trends in Antarctic sea ice and underestimated westerly wind changes, Nat. Commun., 7, 10409, https://doi.org/10.1038/ncomms10409, 2016. a, b
Purich, A., England, M. H., Cai, W., Sullivan, A., and Durack, P. J.: Impacts of broad-scale surface freshening of the Southern Ocean in a coupled climate model, J. Climate, 31, 2613–2632, 2018. a
Raphael, M. N.: The influence of atmospheric zonal wave three on Antarctic sea ice variability, J. Geophys. Res.-Atmos., 112, D12112, https://doi.org/10.1029/2006JD007852, 2007. a, b, c
Raphael, M. N. and Hobbs, W.: The influence of the large-scale atmospheric circulation on Antarctic sea ice during ice advance and retreat seasons, Geophys. Res. Lett., 41, 5037–5045, 2014. a
Raphael, M. N., Marshall, G., Turner, J., Fogt, R., Schneider, D., Dixon, D., Hosking, J., Jones, J., and Hobbs, W. R.: The Amundsen Sea low: Variability, change, and impact on Antarctic climate, B. Am. Meteorol. Soc., 97, 111–121, 2016. a
Ren, L. and Riser, S. C.: Seasonal salt budget in the northeast Pacific Ocean, J. Geophys. Res.-Oceans, 114, C12004, https://doi.org/10.1029/2009JC005307, 2009. a
Roach, L. A., Dörr, J., Holmes, C. R., Massonnet, F., Blockley, E. W., Notz, D., Rackow, T., Raphael, M. N., O'Farrell, S. P., Bailey, D. A., and Bitz, C. M.: Antarctic sea ice area in CMIP6, Geophys. Res. Lett., 47, e2019GL086729, https://doi.org/10.1029/2019GL086729, 2020. a, b
Sadai, S., Condron, A., DeConto, R., and Pollard, D.: Future climate response to Antarctic Ice Sheet melt caused by anthropogenic warming, Sci. Adv., 6, eaaz1169, https://doi.org/10.1126/sciadv.aaz1169, 2020. a, b
Schlosser, E., Haumann, F. A., and Raphael, M. N.: Atmospheric influences on the anomalous 2016 Antarctic sea ice decay, The Cryosphere, 12, 1103–1119, https://doi.org/10.5194/tc-12-1103-2018, 2018. a, b
Sigmond, M. and Fyfe, J.: Has the ozone hole contributed to increased Antarctic sea ice extent?, Geophys. Res. Lett., 37, L18502, https://doi.org/10.1029/2010GL044301, 2010. a
Sigmond, M. and Fyfe, J. C.: The Antarctic sea ice response to the ozone hole in climate models, J. Climate, 27, 1336–1342, 2014. a
Simmonds, I. and Li, M.: Trends and variability in polar sea ice, global atmospheric circulations, and baroclinicity, Ann. NY Acad. Sci., 1504, 167–186, 2021. a
Simpkins, G. R., Ciasto, L. M., Thompson, D. W., and England, M. H.: Seasonal relationships between large-scale climate variability and Antarctic sea ice concentration, J. Climate, 25, 5451–5469, 2012. a
Smith, W. O. and Comiso, J. C.: Influence of sea ice on primary production in the Southern Ocean: A satellite perspective, J. Geophys. Res.-Oceans, 113, C05S93, https://doi.org/10.1029/2007JC004251, 2008. a
Smoliak, B. V., Wallace, J. M., Lin, P., and Fu, Q.: Dynamical adjustment of the Northern Hemisphere surface air temperature field: Methodology and application to observations, J. Climate, 28, 1613–1629, 2015. a
Stammerjohn, S. E., Martinson, D., Smith, R., Yuan, X., and Rind, D.: Trends in Antarctic annual sea ice retreat and advance and their relation to El Niño–Southern Oscillation and Southern Annular Mode variability, J. Geophys. Res.-Oceans, 113, C03S90, https://doi.org/10.1029/2007JC004269, 2008. a
Steig, E. J., Ding, Q., Battisti, D., and Jenkins, A.: Tropical forcing of Circumpolar Deep Water inflow and outlet glacier thinning in the Amundsen Sea Embayment, West Antarctica, Ann. Glaciol., 53, 19–28, 2012. a
Tamsitt, V., Talley, L. D., Mazloff, M. R., and Cerovečki, I.: Zonal variations in the Southern Ocean heat budget, J. Climate, 29, 6563–6579, 2016. a
Trenberth, K. E.: The definition of El Nino, B. Am. Meteorol. Soc., 78, 2771–2778, 1997. a
Turner, J., Bracegirdle, T. J., Phillips, T., Marshall, G. J., and Hosking, J. S.: An initial assessment of Antarctic sea ice extent in the CMIP5 models, J. Climate, 26, 1473–1484, 2013. a
Turner, J., Hosking, J. S., Bracegirdle, T. J., Marshall, G. J., and Phillips, T.: Recent changes in Antarctic sea ice, Philos. T. Roy. Soc. A, 373, 20140163, https://doi.org/10.1098/rsta.2014.0163, 2015. a
Turner, J., Hosking, J. S., Marshall, G. J., Phillips, T., and Bracegirdle, T. J.: Antarctic sea ice increase consistent with intrinsic variability of the Amundsen Sea Low, Clim. Dynam., 46, 2391–2402, 2016. a
Wang, G., Hendon, H. H., Arblaster, J. M., Lim, E.-P., Abhik, S., and van Rensch, P.: Compounding tropical and stratospheric forcing of the record low Antarctic sea-ice in 2016, Nat. Commun., 10, 13, https://doi.org/10.1038/s41467-018-07689-7, 2019. a
Wills, R. C., Armour, K. C., Battisti, D. S., and Hartmann, D. L.: Ocean–atmosphere dynamical coupling fundamental to the Atlantic multidecadal oscillation, J. Climate, 32, 251–272, 2019a. a
Wills, R. C., Battisti, D. S., Proistosescu, C., Thompson, L., Hartmann, D. L., and Armour, K. C.: Ocean circulation signatures of North Pacific decadal variability, Geophys. Res. Lett., 46, 1690–1701, 2019b. a
Wills, R. C., Dong, Y., Proistosecu, C., Armour, K. C., and Battisti, D. S.: Systematic Climate Model Biases in the Large-Scale Patterns of Recent Sea-Surface Temperature and Sea-Level Pressure Change, Geophys. Res. Lett., 49, e2022GL100011, https://doi.org/10.1029/2022GL100011, 2022. a, b
Wills, R. J. and Shen, Z.: rcjwills/lfca: Zenodo Release May 2023 (v2.0), Zenodo [code], https://doi.org/10.5281/zenodo.7940013, 2023. a
Zhang, L., Delworth, T. L., Cooke, W., and Yang, X.: Natural variability of Southern Ocean convection as a driver of observed climate trends, Nat. Clim. Change, 9, 59–65, 2019. a
Zhang, L., Delworth, T. L., Yang, X., Zeng, F., Lu, F., Morioka, Y., and Bushuk, M.: The relative role of the subsurface Southern Ocean in driving negative Antarctic Sea ice extent anomalies in 2016–2021, Commun. Earth Environ., 3, 302, https://doi.org/10.1038/s43247-022-00624-1, 2022. a
Zunz, V., Goosse, H., and Massonnet, F.: How does internal variability influence the ability of CMIP5 models to reproduce the recent trend in Southern Ocean sea ice extent?, The Cryosphere, 7, 451–468, https://doi.org/10.5194/tc-7-451-2013, 2013. a
Zuo, H., Balmaseda, M. A., Tietsche, S., Mogensen, K., and Mayer, M.: The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: a description of the system and assessment, Ocean Sci., 15, 779–808, https://doi.org/10.5194/os-15-779-2019, 2019. a
Short summary
Antarctic sea ice has exhibited variability over satellite records, including a period of gradual expansion and a period of sudden decline. We use a novel statistical method to identify sources of variability in observed Antarctic sea ice changes. We find that the gradual increase in sea ice is likely related to large-scale temperature trends, and periods of abrupt sea ice decline are related to specific flavors of equatorial tropical variability known as the El Niño–Southern Oscillation.
Antarctic sea ice has exhibited variability over satellite records, including a period of...
