A New Zonal Wave-3 Index for the Southern Hemisphere

Rishav Goyal aClimate Change Research Centre, University of New South Wales, Sydney, New South Wales, Australia
bARC Australian Centre for Excellence in Antarctic Science (ACEAS), University of New South Wales, Sydney, New South Wales, Australia

Search for other papers by Rishav Goyal in
Current site
Google Scholar
PubMed
Close
,
Martin Jucker aClimate Change Research Centre, University of New South Wales, Sydney, New South Wales, Australia
cARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, New South Wales, Australia

Search for other papers by Martin Jucker in
Current site
Google Scholar
PubMed
Close
,
Alex Sen Gupta aClimate Change Research Centre, University of New South Wales, Sydney, New South Wales, Australia
bARC Australian Centre for Excellence in Antarctic Science (ACEAS), University of New South Wales, Sydney, New South Wales, Australia
cARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, New South Wales, Australia

Search for other papers by Alex Sen Gupta in
Current site
Google Scholar
PubMed
Close
, and
Matthew H. England aClimate Change Research Centre, University of New South Wales, Sydney, New South Wales, Australia
bARC Australian Centre for Excellence in Antarctic Science (ACEAS), University of New South Wales, Sydney, New South Wales, Australia

Search for other papers by Matthew H. England in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Zonal wave 3 (ZW3) is an important feature of the Southern Hemisphere extratropical atmospheric circulation and has strong impacts on meridional heat and momentum transport, regional Antarctic sea ice extent, and Southern Hemisphere blocking events. Attempts have been made in the past to define an index that quantifies the variability in the ZW3 pattern; however, existing methods are based on fixed geographical locations and fail to capture certain ZW3 events because of strong variability in phase. In addition, a fixed spatial index poorly characterizes ZW3 in CMIP models, which can exhibit biases in the mean phase of the ZW3 pattern. In this study, we introduce a new way to characterize ZW3 variability by incorporating two indices, one each for magnitude and phase, based on the combination of the first two empirical orthogonal functions (EOFs) of the 500-hPa meridional wind anomalies. We show that the new ZW3 index provides a clear advantage over past indices because it captures a substantially higher proportion of variance (∼40% compared to ∼16%), and it can be used for both reanalysis datasets and coupled climate models regardless of model biases. A composite analysis associated with the new index reveals a strong relationship between the ZW3 defined by our index and sea ice fraction around Antarctica, with significant regional sea ice anomalies during strong ZW3 events with different phases.

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Rishav Goyal, rishav.goyal@unsw.edu.au

Abstract

Zonal wave 3 (ZW3) is an important feature of the Southern Hemisphere extratropical atmospheric circulation and has strong impacts on meridional heat and momentum transport, regional Antarctic sea ice extent, and Southern Hemisphere blocking events. Attempts have been made in the past to define an index that quantifies the variability in the ZW3 pattern; however, existing methods are based on fixed geographical locations and fail to capture certain ZW3 events because of strong variability in phase. In addition, a fixed spatial index poorly characterizes ZW3 in CMIP models, which can exhibit biases in the mean phase of the ZW3 pattern. In this study, we introduce a new way to characterize ZW3 variability by incorporating two indices, one each for magnitude and phase, based on the combination of the first two empirical orthogonal functions (EOFs) of the 500-hPa meridional wind anomalies. We show that the new ZW3 index provides a clear advantage over past indices because it captures a substantially higher proportion of variance (∼40% compared to ∼16%), and it can be used for both reanalysis datasets and coupled climate models regardless of model biases. A composite analysis associated with the new index reveals a strong relationship between the ZW3 defined by our index and sea ice fraction around Antarctica, with significant regional sea ice anomalies during strong ZW3 events with different phases.

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Rishav Goyal, rishav.goyal@unsw.edu.au

Supplementary Materials

    • Supplemental Materials (PDF 4.76 MB)
Save
  • Baines, P. G., and K. Fraedrich, 1989: Topographic effects on the mean tropospheric flow patterns around Antarctica. J. Atmos. Sci., 46, 34013415, https://doi.org/10.1175/1520-0469(1989)046<3401:TEOTMT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Campitelli, E., L. B. Díaz, and C. Vera, 2021: Assessment of zonally symmetric and asymmetric components of the southern annular mode using a novel approach. Climate Dyn., 58, 161–178, https://doi.org/10.1007/s00382-021-05896-5.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cerrone, D., and G. Fusco, 2018: Low-frequency climate modes and Antarctic sea ice variations, 1982–2013. J. Climate, 31, 147175, https://doi.org/10.1175/JCLI-D-17-0184.1.

    • Search Google Scholar
    • Export Citation
  • Goyal, R., M. Jucker, A. Sen Gupta, H. H. Hendon, and M. H. England, 2021a: Zonal wave 3 pattern in the Southern Hemisphere generated by tropical convection. Nat. Geosci., 14, 732738, https://doi.org/10.1038/s41561-021-00811-3.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Goyal, R., M. Jucker, A. Sen Gupta, and M. H. England, 2021b: Generation of the Amundsen Sea low by Antarctic orography. Geophys. Res. Lett., 48, e2020GL091487, https://doi.org/10.1029/2020GL091487.

    • Crossref
    • Export Citation
  • Goyal, R., and Coauthors, 2022: A new zonal wave 3 index for the Southern Hemisphere. Mendeley Data, https://doi.org/10.17632/382gmc8937.1.

  • Hersbach, H., and Coauthors, 2020: The ERA5 global reanalysis. Quart. J. Roy. Meteor. Soc., 146, 19992049, https://doi.org/10.1002/qj.3803.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hobbs, W. R., and M. N. Raphael, 2010: Characterizing the zonally asymmetric component of the SH circulation. Climate Dyn., 35, 859873, https://doi.org/10.1007/s00382-009-0663-z.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Irving, D., and I. Simmonds, 2015: A novel approach to diagnosing Southern Hemisphere planetary wave activity and its influence on regional climate variability. J. Climate, 28, 90419057, https://doi.org/10.1175/JCLI-D-15-0287.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437471, https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Keppler, L., and P. Landschützer, 2019: Regional wind variability modulates the Southern Ocean carbon sink. Sci. Rep., 9, 7384, https://doi.org/10.1038/s41598-019-43826-y.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lejenas, H., 1988: Southern Hemisphere planetary-scale waves and blocking. J. Meteor. Soc. Japan, 66, 777781, https://doi.org/10.2151/jmsj1965.66.5_777.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liu, Y., J. Attema, B. Moat, and W. Hazeleger, 2020: Synthesis and evaluation of historical meridional heat transport from midlatitudes towards the Arctic. Earth Syst. Dyn., 11, 7796, https://doi.org/10.5194/esd-11-77-2020.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Meehl, G. A., J. M. Arblaster, C. T. Y. Chung, M. M. Holland, A. DuVivier, L. Thompson, D. Yang, and C. M. Bitz, 2019: Sustained ocean changes contributed to sudden Antarctic sea ice retreat in late 2016. Nat. Commun., 10, 14, https://doi.org/10.1038/s41467-018-07865-9.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mo, K. C., 1986: Quasi-stationary states in the Southern Hemisphere. Mon. Wea. Rev., 114, 808823, https://doi.org/10.1175/1520-0493(1986)114<0808:QSSITS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mo, K. C., and G. H. White, 1985: Teleconnections in the Southern Hemisphere. Mon. Wea. Rev., 113, 2237, https://doi.org/10.1175/1520-0493(1985)113<0022:TITSH>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mo, K. C., and J. N. Paegle, 2001: The Pacific–South American modes and their downstream effects. Int. J. Climatol., 21, 12111229, https://doi.org/10.1002/joc.685.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Purich, A., and M. H. England, 2019: Tropical teleconnections to Antarctic sea ice during austral spring 2016 in coupled pacemaker experiments. Geophys. Res. Lett., 46, 68486858, https://doi.org/10.1029/2019GL082671.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Raphael, M. N., 1998: Quasi-stationary waves in the Southern Hemisphere: An examination of their simulation by the NCAR Climate System Model, with and without an interactive ocean. J. Climate, 11, 14051418, https://doi.org/10.1175/1520-0442(1998)011<1405:QSWITS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Raphael, M. N., 2004: A zonal wave 3 index for the Southern Hemisphere. Geophys. Res. Lett., 31, L23212, https://doi.org/10.1029/2004GL020365.

  • Raphael, M. N., 2007: The influence of atmospheric zonal wave three on Antarctic sea ice variability. J. Geophys. Res. Atmos., 112, D12112, https://doi.org/10.1029/2006JD007852.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Raphael, M. N., and W. Hobbs, 2014: The influence of the large-scale atmospheric circulation on Antarctic sea ice during ice advance and retreat seasons. Geophys. Res. Lett., 41, 50375045, https://doi.org/10.1002/2014GL060365.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Renwick, J. A., 2005: Persistent positive anomalies in the Southern Hemisphere circulation. Mon. Wea. Rev., 133, 977988, https://doi.org/10.1175/MWR2900.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Schlosser, E., F. A. Haumann, and M. N. Raphael, 2018: Atmospheric influences on the anomalous 2016 Antarctic sea ice decay. Cryosphere, 12, 11031119, https://doi.org/10.5194/tc-12-1103-2018.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sen Gupta, A., and M. H. England, 2006: Coupled ocean–atmosphere–ice response to variations in the southern annular mode. J. Climate, 19, 44574486, https://doi.org/10.1175/JCLI3843.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Singh, H. K. A., L. Landrum, M. M. Holland, D. A. Bailey, and A. K. DuVivier, 2021: An overview of Antarctic sea ice in the Community Earth System Model version 2, part I: Analysis of the seasonal cycle in the context of sea ice thermodynamics and coupled atmosphere–ocean–ice processes. J. Adv. Model. Earth Syst., 12, e2020MS002143, https://doi.org/10.1029/2020MS002143.

    • Crossref
    • Export Citation
  • Teng, H., and G. Branstator, 2012: A zonal wavenumber 3 pattern of Northern Hemisphere wintertime planetary wave variability at high latitudes. J. Climate, 25, 67566769, https://doi.org/10.1175/JCLI-D-11-00664.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Turner, J., J. S. Hosking, T. J. Bracegirdle, T. Phillips, and G. J. Marshall, 2017: Variability and trends in the Southern Hemisphere high latitude, quasi-stationary planetary waves. Int. J. Climatol., 37, 23252336, https://doi.org/10.1002/joc.4848.

    • Search Google Scholar
    • Export Citation
  • van Loon, H., and R. L. Jenne, 1972: The zonal harmonic standing waves in the Southern Hemisphere. J. Geophys. Res., 77, 9921003, https://doi.org/10.1029/JC077i006p00992.

    • Search Google Scholar
    • Export Citation
  • Wang, G., H. H. Hendon, J. M. Arblaster, E.-P. Lim, S. Abhik, and P. van Rensch, 2019: 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.

    • Search Google Scholar
    • Export Citation
  • Yuan, X., and C. Li, 2008: Climate modes in southern high latitudes and their impacts on Antarctic sea ice. J. Geophys. Res. Oceans, 113, C06S91, https://doi.org/10.1029/2006JC004067.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 2810 1862 0
Full Text Views 1417 1134 128
PDF Downloads 968 581 92