Climate Dynamics

, Volume 32, Issue 7–8, pp 1081–1095 | Cite as

Regional climate change experiments over southern South America. II: Climate change scenarios in the late twenty-first century

  • Mario N. Nuñez
  • Silvina A. Solman
  • Maria Fernanda Cabré


We present an analysis of climate change over southern South America as simulated by a regional climate model. The regional model MM5 was nested within time-slice global atmospheric model experiments conducted by the HadAM3H model. The simulations cover a 10-year period representing present-day climate (1981–1990) and two future scenarios for the SRESA2 and B2 emission scenarios for the period 2081–2090. There are a few quantitative differences between the two regional scenarios. The simulated changes are larger for the A2 than the B2 scenario, although with few qualitative differences. For the two regional scenarios, the warming in southern Brazil, Paraguay, Bolivia and northeastern Argentina is particularly large in spring. Over the western coast of South America both scenarios project a general decrease in precipitation. Both the A2 and B2 simulations show a general increase in precipitation in northern and central Argentina especially in summer and fall and a general decrease in precipitation in winter and spring. In fall the simulations agree on a general decrease in precipitation in southern Brazil. This reflects changes in the atmospheric circulation during winter and spring. Changes in mean sea level pressure show a cell of increasing pressure centered somewhere in the southern Atlantic Ocean and southern Pacific Ocean, mainly during summer and fall in the Atlantic and in spring in the Pacific. In relation to the pressure distribution in the control run, this indicates a southward extension of the summer mean Atlantic and Pacific subtropical highs.


Regional climate modeling Southern South America Climate change scenarios 



Regional climate model


Atmospheric general circulation model


Atmospheric-ocean general circulation model


Sea level pressure











This work was supported by the UBACYT Grant 01-X264, ANPCYT Project PICT2005 32194 and partially by EU CLARIS Grant. We would like to thank the Hadley Centre for providing the HadAM3H data. The authors wish to thank to anonymous reviewers whose insightful comments and suggestions led to improve the manuscript. We also thank Alfredo Rolla for his invaluable cooperation in running the model.


  1. Barros VR, Castañeda ME, Doyle ME (2000) Recent precipitation trends in southern South America east of the Andes: An indication of climatic variability. In: Smolka PP, Volkheimer W (eds) Southern Hemisphere Paleo-and Neoclimates. Key sites, methods, data and models. Springer, Berlin, pp 187–206Google Scholar
  2. Christensen JH, Carter TR, Rummukainen M, Amanatidis G (2007) Evaluating the performance and utility of regional climate models: the PRUDENCE project. Clim Change 81:1–6. doi: 10.1007/s10584-006-9211-6 CrossRefGoogle Scholar
  3. Ciappesoni HH, Fernández AE, Nuñez MN (2005) Impactos de la urbanización y de los cambios en el uso de la tierra en Argentina. CD Anales IX Congreso Argentino de Meteorología (CONGREMET IX), 9 páginas, ISBN 987-22411-0-4Google Scholar
  4. Gan M, Rao V (1994) The influence of the Andes Cordillera on transient disturbances. Mon Weather Rev 122:1141–1157. doi :10.1175/1520-0493(1994)122<1141:TIOTAC>2.0.CO;2CrossRefGoogle Scholar
  5. Grell GA, Dudhia J, Stauffer DR (1993) A description of the fifth-generation Penn System/NCAR Mesoscale Model (MM5). NCAR Tech Note NCAR/TN-398+1A, 107 pGoogle Scholar
  6. Hayashi Y (1982) Confidence intervals of a climatic signal. J Atmos Sci 39:1895–1905. doi :10.1175/1520-0469(1982)039<1895:CIOACS>2.0.CO;2CrossRefGoogle Scholar
  7. Haylock MR, Peterson TC, Alves LM, Ambrizzi T, Anunciação YM, Baez J et al (2006) Trends in total and extreme South American rainfall in 1960–2000 and links with sea surface temperature. J Clim 19:1490–1512. doi: 10.1175/JCLI3695.1 CrossRefGoogle Scholar
  8. IPCC (2000) Emission scenarios, a special report of working group III of the intergovernmental on climate change. Nakicenovic N Coordinating Lead Author. Cambridge University Press, Cambridge, p 599Google Scholar
  9. Jones RG, Murphy JM, Hassell D, Taylor R (2001) Ensamble mean changes in a simulation of the Eiropean mean climate of 2071–2100 using the new Hadley Centre regional modeling system HadAM3H/HadRM3H. Hadley Centre Report, p 19Google Scholar
  10. Mearns et al (2005) NARCCAP (North American Regional Climate Change Assessment Program). A multiple AOGCM and RCM climate scenario project over North America. In: AMS 16th conference on climate variations and change, pp 235–238Google Scholar
  11. Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM et al (2007) Global climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignir M, Miller HL (eds) Climate change 2007: the physical science basis. Contributions of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, CambridgeGoogle Scholar
  12. Nuñez MN, Ciapessoni HH, Rolla A, Kalnay E, Cai M (2007) Impact of land-use and precipitation changes on surface temperature trends in Argentina. J Geophys Res (in press)Google Scholar
  13. Pope VD, Gallani ML, Rowntree PR, Stratton RA (2000) The impact of new physical parameterizations in the Hadley Centre climate model. Clim Dyn 16:123–146. doi: 10.1007/s003820050009 CrossRefGoogle Scholar
  14. Solman S, Nuñez M, Cabré MF (2008) Regional climate change experiments over southern South America. I: present climate. Clim Dyn 30:533–552. doi: 10.1007/s00382-007-0304-3 CrossRefGoogle Scholar
  15. Sun Y, Solomon S, Aiguo D, Portman RW (2007) How often will it rain? J Clim 20:4801–4818. doi: 10.1175/JCLI4263.1 CrossRefGoogle Scholar
  16. Vera CS, Vigliarolo PK, Berbery H (2002) Cold season synoptic scale waves over subtropical South America. Mon Weather Rev 130:684–699. doi :10.1175/1520-0493(2002)130<0684:CSSSWO>2.0.CO;2CrossRefGoogle Scholar
  17. Whetton PH, Katzfey JJ, Hennessy KJ, Wu X, McGregor JL, Nguyen KC (2001) Developing scenarios of climate change for Southeastern Australia: an example using regional climate model output. Clim Res 16:181–201. doi: 10.3354/cr016181 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Mario N. Nuñez
    • 1
  • Silvina A. Solman
    • 1
  • Maria Fernanda Cabré
    • 2
  1. 1.Centro de Investigaciones del Mar y la Atmósfera (CIMA-CONICET/UBA) DCAO (FCEyN-UBA), Ciudad Universitaria, Pabellón II, Piso 2Buenos AiresArgentina
  2. 2.Centro de Investigaciones del Mar y la Atmósfera (CIMA-CONICET/UBA), Ciudad Universitaria, Pabellón II, Piso 2Buenos AiresArgentina

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