Articles | Volume 22, issue 5
https://doi.org/10.5194/npg-22-513-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-22-513-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Systematic attribution of observed Southern Hemisphere circulation trends to external forcing and internal variability
C. L. E. Franzke
CORRESPONDING AUTHOR
Meteorological Institute and Center for Earth System Research and Sustainability, University of Hamburg, Hamburg, Germany
T. J. O'Kane
CSIRO Oceans and Atmosphere, Hobart, Australia
D. P. Monselesan
CSIRO Oceans and Atmosphere, Hobart, Australia
J. S. Risbey
CSIRO Oceans and Atmosphere, Hobart, Australia
I. Horenko
Università della Svizzera Italiana, Lugano, Switzerland
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Andrew R. Axelsen, Terence J. O'Kane, Courtney R. Quinn, and Andrew P. Bassom
Nonlin. Processes Geophys., 33, 455–472, https://doi.org/10.5194/npg-33-455-2026, https://doi.org/10.5194/npg-33-455-2026, 2026
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Recent increases in the variability of Antarctic sea ice have elicited much interest and research on these changes. Here, we examine observations taken from three specific years (2016, 2021, and 2023) which either contain or precede a period of anomalously low sea ice extent. To understand the combined influence of weather systems, surface temperatures, and atmospheric pressure on sea ice formation and decay, we apply novel methods from machine learning and dynamical systems.
Michael A. Barnes, James S. Risbey, Teresa J. Parker, Nicholas Earl-Jones, Carly Tozer, and Didier P. Monselesan
EGUsphere, https://doi.org/10.5194/egusphere-2026-3141, https://doi.org/10.5194/egusphere-2026-3141, 2026
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The physical interpretation of the Southern Annular Mode (SAM) has been questioned in recent years. Here we show that the SAM can be interpreted through the diagnosis of synoptic-scale weather systems. In particular, the SAM is described here by the sum of the characteristics of Rossby wave breaking zones across the Southern Ocean. These differences produce local differences in the frequency of mid-latitudes cyclones and jets which the SAM is assumed to alter hemispherically.
Piers M. Forster, Tristram Walsh, Chris Smith, William F. Lamb, Robin Lamboll, Christophe Cassou, Mathias Hauser, Zeke Hausfather, June-Yi Lee, Matthew D. Palmer, Karina von Schuckmann, Aimée B. A. Slangen, Sophie Szopa, Blair Trewin, Jeongeun Yun, Nathan P. Gillett, Stuart Jenkins, H. Damon Matthews, Krishnan Raghavan, Aurélien Ribes, Joeri Rogelj, Debbie Rosen, Xuebin Zhang, Myles Allen, Robbie M. Andrew, Chris Atkinson, Richard A. Betts, Antonio Bombelli, Samantha N. Burgess, Lijing Cheng, Helen E. Claxton, Pierre Friedlingstein, Thomas L. Frölicher, Catia M. Domingues, Thomas Gasser, Catherine H. Gregory, Rachel M. Hoesly, Daniel Huppmann, Masayoshi Ishii, Christopher Kadow, Alexia Karwat, John Kennedy, Rachel E. Killick, Mahesh V. M. Kovilakam, Paul B. Krummel, Xin Lan, Jean-François Lamarque, Aurélien Liné, Belén Martín-Míguez, Didier P. Monselesan, Colin Morice, Jens Mühle, Pino Mussak, Glen P. Peters, Anna Pirani, Julia Pongratz, Matthew Rigby, Robert Rohde, Abhishek Savita, Sonia I. Seneviratne, Steven J. Smith, Ghassan Taha, Caterina Tassone, Peter Thorne, Christopher Wells, Luke M. Western, Guido R. van der Werf, Susan E. Wijffels, Marco Zecchetto, Junting Zhong, Xiao-Ye Zhang, Valérie Masson-Delmotte, and Panmao Zhai
Earth Syst. Sci. Data, 18, 3889–3933, https://doi.org/10.5194/essd-18-3889-2026, https://doi.org/10.5194/essd-18-3889-2026, 2026
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We give our annual update of key climate indicators. Our work quantifies the human contribution to global warming and the pace of climate change. This represents a large effort by the international community akin to an Intergovernmental Panel on Climate Change (IPCC) report.
Mark A. Collier, Dylan Harries, and Terence J. O'Kane
Nonlin. Processes Geophys., 33, 103–122, https://doi.org/10.5194/npg-33-103-2026, https://doi.org/10.5194/npg-33-103-2026, 2026
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Here we apply Bayesian methods to reconstructed and simulated climate model data over past decades to determine the role of long timescale phase dependencies, and extratropical teleconnections, on the major drivers of tropical climate variability.
Terence J. O'Kane and Courtney R. Quinn
Nonlin. Processes Geophys., 33, 51–72, https://doi.org/10.5194/npg-33-51-2026, https://doi.org/10.5194/npg-33-51-2026, 2026
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Mathematical concepts and measures from dynamical systems theory are applied to identify commonalities across a diverse set of chaotic attractors to better understand the relationship between predictability, directions and rates of expansion and contraction of instabilities over finite time forecast horizons, and dimensionality. The patterns that emerge have broad implications for understanding many dynamical features of geophysical flows.
Piers M. Forster, Chris Smith, Tristram Walsh, William F. Lamb, Robin Lamboll, Christophe Cassou, Mathias Hauser, Zeke Hausfather, June-Yi Lee, Matthew D. Palmer, Karina von Schuckmann, Aimée B. A. Slangen, Sophie Szopa, Blair Trewin, Jeongeun Yun, Nathan P. Gillett, Stuart Jenkins, H. Damon Matthews, Krishnan Raghavan, Aurélien Ribes, Joeri Rogelj, Debbie Rosen, Xuebin Zhang, Myles Allen, Lara Aleluia Reis, Robbie M. Andrew, Richard A. Betts, Alex Borger, Jiddu A. Broersma, Samantha N. Burgess, Lijing Cheng, Pierre Friedlingstein, Catia M. Domingues, Marco Gambarini, Thomas Gasser, Johannes Gütschow, Masayoshi Ishii, Christopher Kadow, John Kennedy, Rachel E. Killick, Paul B. Krummel, Aurélien Liné, Didier P. Monselesan, Colin Morice, Jens Mühle, Vaishali Naik, Glen P. Peters, Anna Pirani, Julia Pongratz, Jan C. Minx, Matthew Rigby, Robert Rohde, Abhishek Savita, Sonia I. Seneviratne, Peter Thorne, Christopher Wells, Luke M. Western, Guido R. van der Werf, Susan E. Wijffels, Valérie Masson-Delmotte, and Panmao Zhai
Earth Syst. Sci. Data, 17, 2641–2680, https://doi.org/10.5194/essd-17-2641-2025, https://doi.org/10.5194/essd-17-2641-2025, 2025
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In a rapidly changing climate, evidence-based decision-making benefits from up-to-date and timely information. Here we compile monitoring datasets to track real-world changes over time. To make our work relevant to policymakers, we follow methods from the Intergovernmental Panel on Climate Change (IPCC). Human activities are increasing the Earth's energy imbalance and driving faster sea-level rise compared to the IPCC assessment.
Karina von Schuckmann, Audrey Minière, Flora Gues, Francisco José Cuesta-Valero, Gottfried Kirchengast, Susheel Adusumilli, Fiammetta Straneo, Michaël Ablain, Richard P. Allan, Paul M. Barker, Hugo Beltrami, Alejandro Blazquez, Tim Boyer, Lijing Cheng, John Church, Damien Desbruyeres, Han Dolman, Catia M. Domingues, Almudena García-García, Donata Giglio, John E. Gilson, Maximilian Gorfer, Leopold Haimberger, Maria Z. Hakuba, Stefan Hendricks, Shigeki Hosoda, Gregory C. Johnson, Rachel Killick, Brian King, Nicolas Kolodziejczyk, Anton Korosov, Gerhard Krinner, Mikael Kuusela, Felix W. Landerer, Moritz Langer, Thomas Lavergne, Isobel Lawrence, Yuehua Li, John Lyman, Florence Marti, Ben Marzeion, Michael Mayer, Andrew H. MacDougall, Trevor McDougall, Didier Paolo Monselesan, Jan Nitzbon, Inès Otosaka, Jian Peng, Sarah Purkey, Dean Roemmich, Kanako Sato, Katsunari Sato, Abhishek Savita, Axel Schweiger, Andrew Shepherd, Sonia I. Seneviratne, Leon Simons, Donald A. Slater, Thomas Slater, Andrea K. Steiner, Toshio Suga, Tanguy Szekely, Wim Thiery, Mary-Louise Timmermans, Inne Vanderkelen, Susan E. Wjiffels, Tonghua Wu, and Michael Zemp
Earth Syst. Sci. Data, 15, 1675–1709, https://doi.org/10.5194/essd-15-1675-2023, https://doi.org/10.5194/essd-15-1675-2023, 2023
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Earth's climate is out of energy balance, and this study quantifies how much heat has consequently accumulated over the past decades (ocean: 89 %, land: 6 %, cryosphere: 4 %, atmosphere: 1 %). Since 1971, this accumulated heat reached record values at an increasing pace. The Earth heat inventory provides a comprehensive view on the status and expectation of global warming, and we call for an implementation of this global climate indicator into the Paris Agreement’s Global Stocktake.
Serena Schroeter, Terence J. O'Kane, and Paul A. Sandery
The Cryosphere, 17, 701–717, https://doi.org/10.5194/tc-17-701-2023, https://doi.org/10.5194/tc-17-701-2023, 2023
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Antarctic sea ice has increased over much of the satellite record, but we show that the early, strongly opposing regional trends diminish and reverse over time, leading to overall negative trends in recent decades. The dominant pattern of atmospheric flow has changed from strongly east–west to more wave-like with enhanced north–south winds. Sea surface temperatures have also changed from circumpolar cooling to regional warming, suggesting recent record low sea ice will not rapidly recover.
Cited articles
Akaike, H.: Information Theory and an Extension of the Maximum Likelihood Principle. 1998, in Selected Papers of Hirotugu Akaike, edited by: Parzen, E., Tanabe, K., and Kitagawa, G., Springer, New York, 1998.
Arblaster, J. M. and Meehl, G. A.: Contributions of External Forcings to Southern Annular Mode Trends, J. Climate, 19, 2896–2905, 2006.
Barnes, E. A., Barnes, N. W., and Polvani, L. M.: Delayed Southern Hemisphere climate change induced by stratospheric ozone recovery, as projected by the CMIP5 models, J. Climate, 27, 852–867, 2013.
Bourassa, A. E.: Large volcanic aerosol load in the stratosphere linked to Asian monsoon transport, Science, 337, 78–82, 2010.
Bromwich, D. H. and Fogt, R. L.: Strong Trends in the Skill of the ERA-40 and NCEP-NCAR Reanalyses in the High and Midlatitudes of the Southern Hemisphere, 1958–2001, J. Climate, 17, 4603–4619, 2004.
Bromwich, D. H., Fogt, R. L., Hodges, K. I., and Walsh, J. E.: A tropospheric assessment of the ERA–40, NCEP, and JRA–25 global reanalyses in the polar regions, J. Geophys. Res., 112, D10111, https://doi.org/10.1029/2006JD007859, 2007.
Bromwich, D. H., Nicolas, J. P., Monaghan, A. J., Lazzara, M. A., Keller, L. M., Weidner, G. A., and Wilson, A. B.: Central West Antarctica among the most rapidly warming regions on Earth. Nat. Geosci., 6, 139–145, 2008.
Burnham, K. P. and Anderson, D. R.: Model selection and multimodel inference: a practical information-theoretic approach. Springer, Berlin, 488 pp., 2002.
Charlton-Perez, A. J., Baldwin, M. P., Birner, T., Black, R. X., Butler, A. H., Calvo, N., Davis, N. A., Gerber, E. P., Gillett, N., Hardiman, S., Kim, J., Krüger, K., Lee, Y.-Y., Manzini, E., McDaniel, B. A., Polvani, L., Reichler, T., Shaw, T. A., Sigmond, M., Son, S.-W., Toohey, M., Wilcox, L, Yoden, S., Christiansen, B., Lott, F., Shindell, D., Yukimoto, S., and Watanabe, S.: On the lack of stratospheric dynamical variability in low-top versions of the CMIP5 models, J. Geophys. Res., 118, 2494–2505, 2013.
Cheng, X. and J. M. Wallace: Multiple Flow Equilibria in the Atmosphere Wintertime 500 hPa Height Field: Spatial Patterns, J. Atmos. Sci., 50, 2674–2696, 1993.
Christiansen, B.: Atmospheric circulation regimes: can cluster analysis provide the number?, J. Climate, 20, 2229–2250, 2007.
Corti, S., Molteni, F., and Palmer, T. N.: Signature of recent climate change in frequencies of natural atmospheric circulation regimes, Nature, 398, 799–802, 1999.
Cowtan, K. and Way, R. G.: Coverage bias in the HadCRUT4 temperature series and its impact on recent temperature trends, Q. J. Roy. Meteorol. Soc., 140, 1935–1944, 2014.
Dawson, A., Palmer, T. N., and Corti, S.: Simulating regime structures in weather and climate prediction models, Geophys. Res. Lett., 39, L21805, https://doi.org/10.1029/2012GL053284, 2012.
Dawson, A. and Palmer, T. N.: Simulating weather regimes: Impact of model resolution and stochastic parameterization, Clim. Dynam., https://doi.org/10.1007/s00382-014-2238-x, 2014.
de Wiljes, J., Putzig, L., and Horenko, I.: Discrete non homogeneous and non stationary logistic and Markov regression models for spatiotemporal data with unresolved external influences sets, Comm. Appl. Math. Comput. Sci., 9, 1–46, 2014.
Franzke, C., Crommelin, D., Fischer, A., and Majda, A. J.: A Hidden Markov Model Perspective on Regimes and Metastability in Atmospheric Flows, J. Climate, 21, 1740–1757, 2008.
Franzke, C., Horenko, I., Majda, A. J., and Klein, R.: Systematic Metastable Atmospheric Regime Identification in an AGCM, J. Atmos. Sci., 66, 1997–2012, 2009.
Franzke, C., Woollings, T., and Martius, O.: Persistent Circulation Regimes and Preferred Regime Transitions in the North Atlantic, J. Atmos. Sci., 68, 2809–2825, https://doi.org/10.1175/JAS-D-11-046.1, 2011.
Frederiksen, J. S. and Frederiksen, C. S.: Interdecadal changes in southern hemisphere winter storm track modes, Tellus A, 59, 599–617, 2007.
Freitas, A. C. V., O'Kane, T. J., Frederiksen, J. S., and Ambrizzi, T.: Assessing the impacts of changes in the Hadley Circulation on stationary Rossby wave propagation. 20th International Congress on Modelling and Simulation (MODSIM2013), December 2013, 2562–2568, available at: www.mssanz.org.au/modsim2013/L7/freitas.pdf, 2013.
Freitas, A. C. V., Frederiksen, J. S., Whelan, J., and Ambrizzi, T.: Observed and simulated inter-decadal changes in the structure of Southern Hemisphere large-scale circulation, Clim. Dynam., https://doi.org/10.1007/s00382-015-2519-z, 2015.
Fröhlich, C.: Observations of irradiance variations, Space Sci. Rev., 94, 15–24, 2000.
Gerber, S. and Horenko, I.: On inference of causality for discrete state models in a multiscale context, P. Natl. Acad. Sci. USA, 111, 14651–14656, https://doi.org/10.1073/pnas.1410404111, 2014.
Gleixner S.: Southern Annular Mode changes due to volcanic eruptions in CMIP5 runs, MSc thesis, GEOMAR, Helmholtz Centre for Ocean Research Kiel, 2012.
Granger, C. W. J.: Some recent development in a concept of causality, J. Econom., 39, 199–211, 1988.
Ho, M., Kiem, A. S., and Verdon-Kidd, D. C.: The Southern Annular Mode: a comparison of indices, Hydrol. Earth Syst. Sci., 16, 967–982, https://doi.org/10.5194/hess-16-967-2012, 2012.
Horenko, I., Dolaptchiev, S., Eliseev, A., Mokhov, I., and Klein, R.: Metastable decomposition of high-dimensional meteorological data with gaps, J. Atmos. Sci., 65, 3479–3496, 2008.
Horenko I.: On the Identification of Nonstationary Factor Models and Their Application to Atmospheric Data Analysis, J. Atmos. Sci., 67, 1559–1574, 2010.
de Wiljes, J., Putzig, L., and Horenko, I.: Discrete non homogeneous and non stationary logistic and Markov regression models for spatiotemporal data with unresolved external influences sets, Comm. App. Math. Comp. Sci., 9, 1–46, 2014.
Johnson, N. C., Feldstein, S. B., and Trembley, B.: The continuum of Northern Hemisphere teleconnection patterns and a description of the NAO shift with the use of self-organizing maps, J. Climate, 21, 6354–6371, 2008.
Karpechko, A. Y., Gillett, N. P., Dall'Amico, M., and Gray, L. J.: Southern Hemisphere atmospheric circulation response to the El Chichon and Pinatubo eruptions in coupled models, Q. J. Roy. Meteorol. Soc. 136, 1813–1822, 2010.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Leetmaa, A., Reynolds, R., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang, J., Jenne, R., and Joseph, D.: The NCEP/NCAR 40-Year Reanalysis Project, B. Am. Meteorol. Soc., 77, 437–471, 1996.
Kimoto, K. and Ghil, M.: Multiple Flow Regimes in the Northern Hemisphere Winter. Part I: Methodology and Hemispheric Regimes, J. Atmos. Sci., 50, 2625–2643, 1993.
Lean, J. L. and Rind, D. H.: How natural and anthropogenic influences alter global and regional surface temperatures: 1889 to 2006, Geophys. Res. Lett. 35, L18701, https://doi.org/10.1029/2008GL034864, 2008.
Lee, S. and Feldstein, S. B.: Detecting Ozone- and Greenhouse Gas-Driven Wind Trends with Observational Data, Science, 339, 563–567, 2013.
Marques, R. F. C. and Rao, V. B.: Interannual variations of blocking in the Southern Hemisphere, J. Geophys. Res., 105, 4625–4636, 2000.
Majda, A. J., Franzke, C., Fischer, A., and Crommelin, D.: Distinct metastable atmospheric regimes despite nearly Gaussian statistics: A paradigm model, P. Natl. Acad. Sci. USA, 103, 8309–8314, 2006.
Metzner, P., Putzig, L., and Horenko, I.: Analysis of persistent nonstationary time series and applications, Commun Appl Math Comput Sci. 7, 175–229, 2012.
Michelangeli, P., Vautard, R., and Legras, B. Weather regimes: Recurrence and quasi stationarity, J. Atmos. Sci., 52, 1237–1256, 1995.
Miller, R. L., Schmidt, G. A., and Shindell, D. T.: Forced annular variations in the 20th century Intergovernmental Panel on Climate Change Fourth Assessment Report models, J. Geophys. Res. 111, D18101, https://doi.org/10.1029/2005JD006323, 2006.
Mosedale, T. J., Stephenson, D. B., Collins, M., and Mills, T. C.: Granger Causality of Coupled Climate Processes: Ocean Feedback on the North Atlantic Oscillation, J. Climate, 19, 1182–1194, 2006.
O'Kane, T. J., Risbey, J. S., Franzke, C., Horenko, I., and Monselesan, D. P.: Changes in the Metastability of the Midlatitude Southern Hemisphere Circulation and the Utility of Nonstationary Cluster Analysis and Split-Flow Blocking Indices as Diagnostic Tools, J. Atmos. Sci., 70, 824–842, 2013.
O'Kane T., Risbey, J., Monselesan, D., Horenko, I., and Franzke, C.: On the dynamics of persistent states and their secular trends in the waveguides of the Southern Hemisphere troposphere, Clim. Dynam., https://doi.org/10.1007/s00382-015-2786-8, in press, 2015.
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.
Polvani, L. M., Waugh, D. W., Correa, G. J. P., Son, S. W. Stratospheric ozone depletion: The main driver of twentieth-century atmospheric circulation changes in the Southern Hemisphere, J. Clim. 24, 795–812, 2011.
Pook, M. J., Risbey, J. S., McIntosh, P. C., Ummenhofer, C. C., Marshall, A. G., and Meyers, G. A.: The seasonal cycle of blocking and associated physical mechanisms in the Australian region and relationship with rainfall, Mon. Weather Rev., 141, 4534–4553, 2013.
Previdi, M. and Polvani, L. M.: Climate system response to stratospheric ozone depletion and recovery, Q. J. Roy. Meteorol. Soc., 140, 2401–2419, https://doi.org/10.1002/qj.2330, 2014.
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., and Kaplan, A.: Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century, J. Geophys. Res., 108, 1984–2012, 2003.
Risbey, J. S., Pook, M. J., McIntosh, P. C., Wheeler, M. C., and Hendon, H. H.: On the remote drivers of rainfall variability in Australia, Mon. Weather Rev. 137, 3233–3253, 2009.
Roscoe, H. K. and Haigh, J. D.: Influences of ozone depletion, the solar cycle and the QBO on the Southern Annular Mode, Q. J. Roy. Meteorol. Soc., 133, 1855–1864, 2007.
Skeie, R. B., Berntsen, T. K., Myhre, G., Tanaka, K., Kvalevåg, M. M., and Hoyle, C. R.: Anthropogenic radiative forcing time series from pre-industrial times until 2010, Atmos. Chem. Phys., 11, 11827–11857, https://doi.org/10.5194/acp-11-11827-2011, 2011.
Son, S.-W., Gerber, E. P., Perlwitz, J., Polvani, L. M., Gillett, N. P., Seo, K.-H., et al.: Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment, J. Geophys. Res., 115, D00M07, https://doi.org/10.1029/2010JD014271, 2010.
Steele, L. P., Krummel, P. B., and Langenfelds, R. L.: Atmospheric CO2 concentrations from sites in the CSIRO Atmospheric Research GASLAB air sampling network (August 2007 version), Trends Compend, Data Global Change Carbon Dioxide Inf. Anal. Cent., Natl. Lab., US Dep. Energy, Oak Ridge TN, USA, 2007.
Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M.: IPCC 2013: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge Univ Press, Cambridge, UK and New York, NY, USA, 2013.
Sugihara, G., May, R., Ye, H., Hsieh, C., Deyle, E., Fogarty, M., and Munch, S.: Detecting Causality in Complex Ecosystems, Science, 338, 496–500, 2012.
Thompson, D. W., Solomon, S., Kushner, P. J., England, M. H., Grise, K. M., and Karoly, D. J.: Signatures of Antarctic ozone hole in the Southern Hemisphere surface climate change, Nature Geosci., 4, 741–749, https://doi.org/10.1038/ngeo1296, 2011.
Trenberth. K. E.: Stormtracks in the Southern Hemisphere, J. Atmos. Sci., 48, 2159–2178, 1991.
Trenberth, K. E. and Mo, K. C.: Blocking in the Southern Hemisphere, Mon. Weather Rev., 113, 3–21, 1985.
Turner, J., Comiso, J. C., Marshall, G. J., Lachlan-Cope, T. A., Bracegirdle, T., and Maksym, T.: Non-annular atmospheric circulation change induced by stratospheric ozone depletion and its role in the recent increase of Antarctic sea ice extent, Geophys. Res. Lett., 36, L08502, https://doi.org/10.1029/2009GL037524, 2009.
Turner, J., Maksym, T,, Phillips, T,, Marshall, G. J., Meredith, M. P.: The impact of changes in sea ice advance on the large winter warming on the western Antarctic Peninsula, Int. J. Climatol., 33, 852–861, 2013.
van Loon, H. and Jenne, R. L.: The zonal harmonic standing waves in the Southern Hemisphere, J. Geophys. Res., 77, 992–1003, 2002.
Viterbi, A. J.: Error bounds for convolutional codes and an asymptotically optimum decoding algorithm, IEEE Trans. Inform. Theor., 13, 260–269, 1967.
Wang, W., Anderson, B. T., Kaufmann, R. K., and Myneni, R. B.: The Relation between the North Atlantic Oscillation and SSTs in the North Atlantic Basin, J. Climate, 17, 4752–4759, 2004.
Wiedenmann, J. M., Lupo, A. R., Mokhov, I. I., and Tikhonova, E. A.: The climatology of blocking anti-cyclones for the Northern and Southern Hemispheres: Block Intensity as a diagnostic, J. Climate, 15, 3459–3473, 2002.
Wheeler, M. C. and Hendon, H. H.: An All-Season Real-Time Multivariate MJO Index: Development of an Index for Monitoring and Prediction. Mon. Weather Rev. 132, 1917–1932, 2004.
Zidikheri, M., Frederiksen, J. S., and O'Kane, T. J.: Multiple Equilibria and Mid-latitude Atmospheric Blocking: a re-examination. World Scientific Lecture Notes in Complex Systems Vol. 6, Frontiers in turbulence and coherent structures, International workshop on Turbulence and Coherent Structures in Fluids, Plasmas and Granular Flows, 10–13 January 2007, The Australian National University, Canberra, 59–86, 2007.