Joint Diagnostic of the Surface Air Temperature in Southern South America and the Madden–Julian Oscillation

Gustavo Naumann National Scientific and Technological Research Council (CONICET), and Department of Atmospheric and Oceanic Sciences, Faculty of Sciences, University of Buenos Aires, Buenos Aires, Argentina

Search for other papers by Gustavo Naumann in
Current site
Google Scholar
PubMed
Close
and
Walter M. Vargas National Scientific and Technological Research Council (CONICET), and Department of Atmospheric and Oceanic Sciences, Faculty of Sciences, University of Buenos Aires, Buenos Aires, Argentina

Search for other papers by Walter M. Vargas in
Current site
Google Scholar
PubMed
Close
Restricted access

We are aware of a technical issue preventing figures and tables from showing in some newly published articles in the full-text HTML view.
While we are resolving the problem, please use the online PDF version of these articles to view figures and tables.

Abstract

The objective of this research is to explore the relationship between maximum and minimum temperatures, daily precipitation, and the Madden–Julian oscillation (MJO). It was found that the different phases of the MJO show a consistent signal on winter temperature variability and precipitation in southeastern South America. Additionally, this paper explores the spatial–temporal variations of mutual information and joint entropy between temperature and the MJO. A defined spatial pattern was observed with an increased signal in northeastern Argentina and southern Brazil. In the local mutual information analysis, periods in which the mutual information doubled the average values were observed over the entire region. These results indicate that these connections can be used to forecast winter temperatures with a better skill score in situations where both variables covary.

Corresponding author address: Gustavo Naumann, F.C.E. y N., Universidad de Buenos Aires, Intendente Güiraldes 2160, Pab II, 2nd Fl., Buenos Aires C1428EGA, Argentina. Email: gnaumann@at.fcen.uba.ar

Abstract

The objective of this research is to explore the relationship between maximum and minimum temperatures, daily precipitation, and the Madden–Julian oscillation (MJO). It was found that the different phases of the MJO show a consistent signal on winter temperature variability and precipitation in southeastern South America. Additionally, this paper explores the spatial–temporal variations of mutual information and joint entropy between temperature and the MJO. A defined spatial pattern was observed with an increased signal in northeastern Argentina and southern Brazil. In the local mutual information analysis, periods in which the mutual information doubled the average values were observed over the entire region. These results indicate that these connections can be used to forecast winter temperatures with a better skill score in situations where both variables covary.

Corresponding author address: Gustavo Naumann, F.C.E. y N., Universidad de Buenos Aires, Intendente Güiraldes 2160, Pab II, 2nd Fl., Buenos Aires C1428EGA, Argentina. Email: gnaumann@at.fcen.uba.ar

Save
  • Grimm, A. M., and Silva Dias P. L. , 1995: Analysis of tropical–extratropical interactions with influence functions of a barotropic model. J. Atmos. Sci., 52 , 35383555.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Higgins, R. W., and Mo K. C. , 1997: Persistent North Pacific circulation anomalies and the tropical intraseasonal oscillation. J. Climate, 10 , 223244.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jones, C., 2000: Occurrence of extreme precipitation events in California and relationships with the Madden–Julian oscillation. J. Climate, 13 , 35763587.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Madden, R., and Julian P. , 1971: Detection of a 40–50 day oscillation in the zonal wind in the tropical Pacific. J. Atmos. Sci., 28 , 702708.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Madden, R., and Julian P. , 1972: Description of global-scale circulation cells in the tropics with a 40–50 day period. J. Atmos. Sci., 29 , 11091123.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Madden, R., and Julian P. , 1994: Observations of the 40–50-day tropical oscillation: A review. Mon. Wea. Rev., 112 , 814837.

  • Matthews, A. J., and Kiladis G. N. , 1999: The tropical–extratropical interaction between high-frequency transients and the Madden–Julian oscillation. Mon. Wea. Rev., 127 , 661667.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Matthews, A. J., and Meredith M. P. , 2004: Variability of Antarctic circumpolar transport and the Southern Annular Mode associated with the Madden–Julian oscillation. Geophys. Res. Lett., 31 , L24312. doi:10.1029/2004GL021666.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Minetti, J. L., and Vargas W. M. , 1997: Interaction processes between the annual wave and the disturbances in series of daily temperature. Int. J. Climatol., 10 , 299305.

    • Search Google Scholar
    • Export Citation
  • Mo, K. C., and Higgins R. W. , 1998: Tropical convection and precipitation regimes in the western United States. J. Climate, 11 , 24042423.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Naumann, G., 2010: Variabilidad intraestacional de alta y baja frecuencia de la temperatura máxima y mínima diaria en Sudamérica. Estudio de la predictabilidad mediante la entropía condicional. Ph.D. thesis, Universidad de Buenos Aires, 229 pp. [Available online at http://digital.bl.fcen.uba.ar/].

  • Naumann, G., and Vargas W. M. , 2009: Changes in the predictability of the daily thermal structure in southern South America using information theory. Geophys. Res. Lett., 36 , L09704. doi:10.1029/2009GL037576.

    • Search Google Scholar
    • Export Citation
  • Seo, K., Wang W. , Gottschalck J. , Zhang Q. , Schemm J. , Higgins W. R. , and Kumar A. , 2009: Evaluation of MJO forecast skill from several statistical and dynamical forecast models. J. Climate, 22 , 23722388.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Shannon, C. E., 1948: A mathematical theory of communication. Bell Syst. Tech. J., 27 , 379423. 623656.

  • Shannon, C. E., 1950: Prediction and entropy of printed English. Bell Syst. Tech. J., 30 , 5064.

  • Vargas, W. M., and Naumann G. , 2008: Impacts of climatic change and low frequency variability in reference series on daily maximum and minimum temperature in southern South America. Reg. Environ. Change, 8 , 4587.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Vecchi, G. A., and Bond N. A. , 2004: The Madden–Julian oscillation (MJO) and northern high latitude wintertime surface air temperatures. Geophys. Res. Lett., 31 , L04104. doi:10.1029/2003GL018645.

    • Search Google Scholar
    • Export Citation
  • Wheeler, M. C., and Hendon H. H. , 2004: An all-season real-time multivariate MJO index: Development of an index for monitoring and prediction. Mon. Wea. Rev., 132 , 19171932.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, C., 2005: Madden–Julian oscillation. Rev. Geophys., 43 , 136.

  • Zhou, S., and Miller A. J. , 2005: The interaction of the Madden–Julian oscillation and the Arctic Oscillation. J. Climate, 18 , 143159.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 424 285 134
PDF Downloads 125 49 1