A Study of Intraseasonal Temperature Variability in Southeastern South America

Gustavo Naumann National Scientific and Technological Research Council (CONICET), and Department of Atmospheric and Oceanic Sciences, University of Buenos Aires, Buenos Aires, Argentina, and Climate Risk Management Unit, Joint Research Centre, European Commission, Ispra, Italy

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Walter M. Vargas National Scientific and Technological Research Council (CONICET), and Department of Atmospheric and Oceanic Sciences, University of Buenos Aires, Buenos Aires, Argentina

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Abstract

The main goal of this work was to conduct an intraseasonal climate variability analysis using wavelet and principal component analysis over a southeastern South American daily maximum and minimum temperature series from the end of the nineteenth until the beginning of the twenty-first century. The analysis showed that there is a definite and coherent signal in the intraseasonal maximum and minimum temperatures. The most noticeable signal was observed during the winter months. The frequency of the intraseasonal signal was more complex for the maximum temperature, and in some stations, it displayed a bimodal distribution. A defined pattern that described a coherent variability between 30 and 60 days throughout the entire region was observed. This pattern potentially allows classification of the regional variability and adjustments to the temperature forecasting models on a daily basis.

Corresponding author address: Gustavo Naumann, Climate Risk Management Unit, Institute for Environment & Sustainability (IES), Joint Research Centre - European Commission, Via E. Fermi, 2749 - TP 280, I-21027 Ispra (VA), Italy. E-mail: gustavo.naumann@jrc.ec.europa.eu

Abstract

The main goal of this work was to conduct an intraseasonal climate variability analysis using wavelet and principal component analysis over a southeastern South American daily maximum and minimum temperature series from the end of the nineteenth until the beginning of the twenty-first century. The analysis showed that there is a definite and coherent signal in the intraseasonal maximum and minimum temperatures. The most noticeable signal was observed during the winter months. The frequency of the intraseasonal signal was more complex for the maximum temperature, and in some stations, it displayed a bimodal distribution. A defined pattern that described a coherent variability between 30 and 60 days throughout the entire region was observed. This pattern potentially allows classification of the regional variability and adjustments to the temperature forecasting models on a daily basis.

Corresponding author address: Gustavo Naumann, Climate Risk Management Unit, Institute for Environment & Sustainability (IES), Joint Research Centre - European Commission, Via E. Fermi, 2749 - TP 280, I-21027 Ispra (VA), Italy. E-mail: gustavo.naumann@jrc.ec.europa.eu
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  • Barnett, T. P., and R. Preisendorfer, 1987: Origins and levels of monthly and seasonal forecast skill for United States surface air temperatures determined by canonical correlation analysis. Mon. Wea. Rev., 115, 18251850.

    • Search Google Scholar
    • Export Citation
  • Barros, V. R., and G. E. Silvestri, 2002: The relationship between sea surface temperature at the subtropical south-central Pacific and precipitation in southeastern South America. J. Climate, 15, 251267.

    • Search Google Scholar
    • Export Citation
  • Boulanger, J., and Coauthors, 2010: A Europe-South America network for climate change assessment and impact studies. Climatic Change, 98, 307329.

    • Search Google Scholar
    • Export Citation
  • Cerne, S. B., and C. S. Vera, 2010: Influence of the intraseasonal variability on heat waves in subtropical South America. Climate Dyn., 36, 113.

    • Search Google Scholar
    • Export Citation
  • Daubechies, I., 1990: The wavelet transform time-frequency localization and signal analysis. IEEE Trans. Inf. Theory, 36, 9611004.

  • Daubechies, I., 1992: Ten Lectures on Wavelets. Society for Industrial and Applied Mathematics, 357 pp.

  • DelSole, T., and M. K. Tippett, 2007: Predictability: Recent insights from information theory. Rev. Geophys., 45, RG4002, doi:10.1029/2006RG000202.

    • Search Google Scholar
    • Export Citation
  • Deque, M., 1988: 10-day predictability of the northern hemisphere winter 500-mb height by the ECMWF operational model. Tellus, 40A, 2636.

    • Search Google Scholar
    • Export Citation
  • Dirmeyer, P. A., and J. Shukla, 1993: Observational and modelling studies of the influence of soil moisture anomalies on atmospheric circulation. Prediction of Interannual Climate Variations, J. Shukla, Ed., NATO ASI Series, Springer, 1–23.

  • Doblas-Reyes, F. J., M. Déqué, F. Valero, and D. B. Stephenson, 1998: North Atlantic wintertime intraseasonal variability and its sensitivity to GCM horizontal resolution. Tellus, 50A, 573595.

    • Search Google Scholar
    • Export Citation
  • Farge, M., 1992: Wavelet transforms and their applications to turbulence. Annu. Rev. Fluid Mech., 24, 395457.

  • Foufoula-Georgiou, E., and P. Kumar, Eds., 1995: Wavelets in Geophysics. Academic Press, 373 pp.

  • Ghil, M., and K. Mo, 1991a: Intraseasonal oscillations in the global atmosphere. Part I: Northern Hemisphere and tropics. J. Atmos. Sci., 48, 752779.

    • Search Google Scholar
    • Export Citation
  • Ghil, M., and K. Mo, 1991b: Intraseasonal oscillations in the global atmosphere. Part II: Southern Hemisphere. J. Atmos. Sci., 48, 780790.

    • Search Google Scholar
    • Export Citation
  • Goddard, L., S. J. Mason, S. E. Zebiak, C. F. Ropelewski, R. Basher, and M. A. Cane, 2001: Current approaches to seasonal-to-interannual climate predictions. Int. J. Climatol., 21, 11111152.

    • Search Google Scholar
    • Export Citation
  • Gonzalez, P., C. Vera, B. Liebmann, and G. Kiladis, 2008: Intraseasonal variability in subtropical South America as depicted by precipitation data. Climate Dyn., 30, 727744.

    • Search Google Scholar
    • Export Citation
  • Grimm, A. M., V. R. Barros, and M. E. Doyle, 2000: Climate variability in southern South America associated with El Niño and La Niña events. J. Climate, 13, 3558.

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

    • Search Google Scholar
    • Export Citation
  • Kaiser, G., 1994: A Friendly Guide to Wavelets. Birkhäuser, 300 pp.

  • Kanamitsu, M., W. Ebisuzaki, J. Woollen, S.-K. Yang, J. J. Hnilo, M. Fiorino, and G. L. Potter, 2002: NCEP–DOE AMIP-II Reanalysis (R-2). Bull. Amer. Meteor. Soc., 83, 16311643.

    • Search Google Scholar
    • Export Citation
  • Karl, T. R., and Coauthors, 1993: A new perspective on recent global warming—Asymmetric trends of daily maximum and minimum temperature. Bull. Amer. Meteor. Soc., 74, 10071023.

    • Search Google Scholar
    • Export Citation
  • Keppenne, C. L., and M. Ghil, 1993: Adaptive filtering and prediction of noisy multivariate signals: An application to subannual variability in atmospheric angular momentum. Int. J. Bifurcat. Chaos, 3, 625634.

    • Search Google Scholar
    • Export Citation
  • Lau, K.-M., and F. C. Chang, 1992: Tropical intraseasonal characteristics of large-scale and extended range forecasts in the NMC operation model. J. Climate, 5, 13651378.

    • Search Google Scholar
    • Export Citation
  • Liebmann, B., G. N. Kiladis, C. Vera, A. C. Saulo, and L. M. V. Carvalho, 2004: Subseasonal variations of rainfall in South America in the vicinity of the low-level jet east of the Andes and comparison to those in the South Atlantic convergence zone. J. Climate, 17, 38293842.

    • Search Google Scholar
    • Export Citation
  • Lorenz, E. N., 1965: A study of the predictability of a 28-variable atmospheric model. Tellus, 17, 321333.

  • Lorenz, E. N., 1969: The predictability of a flow which possesses many scales of motion. Tellus, 21, 289307.

  • Madden, R., and P. Julian, 1994: Observations of the 40-50 day tropical oscillation: A review. Mon. Wea. Rev., 112, 814837.

  • Mann, M. E., and J. Park, 1999: Oscillatory spatiotemporal signal detection in climate studies: A multiple-taper spectral domain approach. Advances in Geophysics, Vol. 41, Academic Press, 1–131.

    • Search Google Scholar
    • Export Citation
  • Minetti, J. L., 1991: Study of the climatic singularities in temperature series of Northwest Argentina. Ph.D. thesis., FCEyN-UBA, 117 pp.

  • Minetti, J. L., and W. M. Vargas, 1997: Interaction processes between the annual wave and the disturbances in series of daily temperature. J. Climate, 10, 297305.

    • Search Google Scholar
    • Export Citation
  • Minetti, J. L., and W. M. Vargas, 2005: Regional circulation in Northwest Argentina and related weather conditions. Weather of Northwest Argentina, Fundación Caldenius, Editorial Magna, 77–115.

  • Mo, K., 2001: Adaptive filtering and prediction of intraseasonal oscillations. Mon. Wea. Rev., 129, 802817.

  • Naumann, G., and W. M. Vargas, 2010: Joint diagnostic of the surface air temperature in southern South America and the Madden–Julian oscillation. Wea. Forecasting, 25, 12751280.

    • Search Google Scholar
    • Export Citation
  • Naumann, G., W. M. Vargas, and J. L. Minetti, 2011: Persistence and long-term memories of daily maximum and minimum temperatures in southern South America. Theor. Appl. Climatol., 105, 341355.

    • Search Google Scholar
    • Export Citation
  • Penalba, O. C., and W. M. Vargas, 2004: Interdecadal and interannual variations of annual and extreme precipitation over central-northeastern Argentina. Int. J. Climatol., 24, 15651580.

    • Search Google Scholar
    • Export Citation
  • Percival, D. B., and A. T. Walden, 2000: Wavelet Methods for Time Series Analysis. Cambridge University Press, 620 pp.

  • Renwick, J. A., and J. M. Wallace, 1995: Predictable anomaly patterns and the forecast skill of Northern Hemisphere wintertime 500-mb height fields. Mon. Wea. Rev., 123, 21142131.

    • Search Google Scholar
    • Export Citation
  • Schneider, T., and S. M. Griffies, 1999: A conceptual framework for predictability studies. J. Climate, 12, 31333155.

  • Shukla, J., 1981a: Dynamical predictability of monthly means. J. Atmos. Sci., 38, 25472572.

  • Shukla, J., 1981b: Predictability of the tropical atmosphere. NASA Tech. Memo. 83829, 51 pp.

  • Shukla, J., 1984: Predictability of time averages. Part II: The influence of the boundary forcing. Problems and Prospects in Long and Medium Range Weather Forecasting, D. M. Burridge and E. Kallen, Eds., Springer-Verlag, 155–206.

  • Silvestri, G., and C. Vera, 2009: Nonstationary impacts of the southern annular mode on Southern Hemisphere climate. J. Climate, 22, 61426148.

    • Search Google Scholar
    • Export Citation
  • Simmons, A. J., and A. Hollingsworth, 2002: Some aspects of the improvement in skill of numerical weather prediction. Quart. J. Roy. Meteor. Soc., 128, 647677.

    • Search Google Scholar
    • Export Citation
  • Sinclair, M. R., J. A. Renwick, and J. W. Kidson, 1997: Low-frequency variability of Southern Hemisphere sea level pressure and weather system activity. Mon. Wea. Rev., 127, 25312542.

    • Search Google Scholar
    • Export Citation
  • Straus, D. M., and J. Shukla, 1981: Global and local fluctuations of winter and summer simulations with the GLAS climate model. NASA Tech. Memo. 83907, 231–236.

  • Torrence, C., and G. P. Compo, 1998: A practical guide to wavelet analysis. Bull. Amer. Meteor. Soc., 79, 6178.

  • Vargas, W. M., G. Naumann, and J. L. Minetti, 2011: Dry spells in the River Plata basin: An approximation of the diagnosis of droughts using daily data. Theor. Appl. Climatol., 104, 159173, doi:10.1007/s00704-010-0335-2.

    • Search Google Scholar
    • Export Citation
  • Vautard, R., P. Yiou, and M. Ghil, 1992: Singular spectrum analysis: A toolkit for short noisy chaotic signals. Physica D, 58, 95126.

    • Search Google Scholar
    • Export Citation
  • Venzke, S., M. R. Allen, R. T. Sutton, and D. P. Rowell, 1999: The atmospheric response over the North Atlantic to decadal changes in sea surface temperature. J. Climate, 12, 25622584.

    • Search Google Scholar
    • Export Citation
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