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Seasonal Forecasts for the 2010 Russian Heat Wave Using an Atmospheric General Circulation Model

  • P. KatsafadosEmail author
  • E. Papadopoulou
  • A. Papadopoulos
  • E. Mavromatidis
Conference paper
Part of the Springer Atmospheric Sciences book series (SPRINGERATMO)

Abstract

In this study the capabilities of a state-of-the-art Atmospheric General Circulation Model (AGCM) for the estimation of the atmospheric conditions on seasonal scale are examined. Seasonal simulations were carried out using the NCAR Community Atmosphere Model (CAM 3). The unusual weather patterns prevailed over Europe and Asia during July and August of 2010, which led in the development of the Russian heat wave and provoked severe rainfall in Pakistan, were simulated by using an ensemble based methodology. The ensemble was consisting of 61 independent members and it has been produced by consecutive simulations performed for each day of January and April 2010. Each hindcast has been integrated for 8 and 5 months ahead. The model outputs have been statistically processed in order to estimate the monthly average temperature anomalies and the monthly accumulated precipitation probability of exceedance. Preliminary results suggest that the system is able to reproduce the large scales of the atmospheric circulation indicating that it can be a useful tool for better understanding the mechanisms of atmospheric variations on seasonal scale.

Keywords

Ensemble Member Atmospheric General Circulation Model Extreme Precipitation Event Global Forecast System Community Land Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Collins WD et al (2006) The formulation and atmospheric simulation of the Community Atmosphere Model: CAM3. J Climate 19:2144–2161. doi: 10.1175/JCLI3760.1 CrossRefGoogle Scholar
  2. Dole R, Hoerling M, Perlwitz J, Eischeid J, Pegion P, Zhang T, Quan XW, Xu T, Murray D (2011) Was there a basis for anticipating the 2010 Russian heat wave? Geophys Res Lett 38:L06702. doi: 10.1029/2010GL046582 CrossRefGoogle Scholar
  3. Gilbert N (2010) Russia counts environmental cost of wildfires. Nat News 12: doi: 10.1038/news2010.404
  4. Kalnay E et al (1996) NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–470CrossRefGoogle Scholar
  5. Mason SJ, Galpin JS, Goddard L, Graham NE, Rajaratnam B (2007) Conditional exceedance probabilities. Mon Weather Rev 135:363–372. doi: 10.1175/MWR3284.1 CrossRefGoogle Scholar
  6. Matsueda M (2011) Predictability of Euro-Russian blocking in summer of 2010. Geophys Res Lett 38:L06801. doi: 10.1029/2010GL046557 CrossRefGoogle Scholar
  7. Oleson KW et al (2004) Technical description of the Community Land Model (CLM). NCAR/TN-461 + STR, National Center for Atmospheric Research, Boulder, CO, p 174Google Scholar
  8. Webster PJ, Toma VE, Kim HM (2011) Were the 2010 Pakistan floods predictable? Geophys Res Lett 38:40806. doi: 10.1029/2010GL046346 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • P. Katsafados
    • 1
    Email author
  • E. Papadopoulou
    • 1
  • A. Papadopoulos
    • 2
  • E. Mavromatidis
    • 1
  1. 1.Department of GeographyHarokopion University of AthensAthensGreece
  2. 2.Institute of Inland Waters, Hellenic Centre for Marine ResearchAnavyssosGreece

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