Natural Hazards

, Volume 67, Issue 3, pp 981–990

Simulation of the climate of the XX century in the Alpine space

  • E. Bucchignani
  • A. Sanna
  • S. Gualdi
  • S. Castellari
  • P. Schiano
Original Paper

Abstract

The purpose of this work is the analysis of the capabilities of the Limited Area Model COSMO-CLM in simulating the main features of the observed climate over an area characterized by complex orography. Two sets of simulations of the XX century climate have been carried out, at a spatial resolution of 14 km, in order to provide a detailed description of the climate variability on local scale, useful for impact studies. A first experimental set-up consists of a set of simulations driven by the boundary conditions provided by the global model SINTEX-G. Our aim is to test the capability of this experimental set in realistically reproducing the main characteristics of the Alpine region climate under present climate conditions in order to provide a reliable tool for future climate scenario investigations. A second set of simulations has been carried out, driven by ERA40 reanalysis, in order to test the influence of the global model boundary conditions. Results are shown in terms of 2-m temperature and total precipitation and they are compared with two observational datasets: CRU and ARPA Piedmont. A good capability of the model in reproducing both the mean field and the seasonal cycle of temperature is observed, while the precipitation is affected by accuracy problems, related to the resolution. Though the model resolution is fine enough to reproduce fairly well the intensity of winter precipitation, it often fails in its localization. As far as summer precipitation is concerned, the model resolution appears too coarse to simulate the localized convection, which characterizes summer precipitation over Alps.

Keywords

Alpine space Regional climate simulations Seasonal temperature and precipitation 

References

  1. Avissar R, Pielke RA (1989) A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology. Mon Weather Rev 117:2113–2136CrossRefGoogle Scholar
  2. Brunetti M, Lentini G, Maugeri M, Nanni T, Auer I, Böhm R, Schöner W (2009) Climate variability and change in the greater Alpine Region over the last two centuries based on multi-variable analysis. Int J Climatol 29:2197–2225CrossRefGoogle Scholar
  3. Dickinson RE (1995) Land-atmosphere interaction. Rev Geophys 33:917–922CrossRefGoogle Scholar
  4. Doms G, Forstner J (2004) Development of a kilometre scale NWP-System: LMK. COSMO Newsl 4:159–167Google Scholar
  5. Faggian P, Giorgi F (2009) An analysis of global model projections over Italy, with particular attention to the Italian Greater Alpine Region (GAR). Clim Change. doi:10.1007/s10584-009-9584-4
  6. Fichefet T, Morales Maqueda MA (1999) Modelling the influence of snow accumulation and snow-ice formation on the seasonal cycle of the Antarctic sea-ice cover. Clim Dyn 15:251–268CrossRefGoogle Scholar
  7. Gualdi S, Scoccimarro E, Navarra A (2008) Changes in tropical cyclone activity due to global warming: results from a high-resolution coupled general circulation model. J Clim 21:5204–5228CrossRefGoogle Scholar
  8. Holton JR (2004) An introduction to dynamic meteorology. Elsevier, Academic Press, San Diego, USAGoogle Scholar
  9. Im E-S, Coppola E, Giorgi F, Bi X (2010a) Validation of a high-resolution regional climate model for the alpine region and effects of a Subgrid-Scale topography and land use representation. J Clim 23:1854–1873CrossRefGoogle Scholar
  10. Im E-S, Coppola E, Giorgi F, Bi X (2010b) Local effects of climate change over the Alpine region: a study with a high resolution regional climate model with a surrogate climate change scenario. Geophys Res Lett 37:L05704. doi:10.1029/2009GL041801 CrossRefGoogle Scholar
  11. Kessler E (1969) On the distribution and continuity of water substance in atmospheric circulations. Meteor Monogr 10:84Google Scholar
  12. Madec G, Delecluse P, Imbard M, Lévy C (1998) OPA 8.1 Ocean general circulation model reference manual. Note du Pôle de modélisation, Institut Pierre-Simon Laplace, 11:91Google Scholar
  13. Mitchell TD, Jones PD (2005) An improved method of constructing a database of monthly climate observations and associated high resolution grids. Int J Climatol 25:693–712CrossRefGoogle Scholar
  14. Rockel B, Will A, Hense A (2008) The regional climate model COSMO-CLM (CCLM). Meteorol Zeitschrift 17(4):347–348CrossRefGoogle Scholar
  15. Roeckner E, et al. (1996) The atmospheric general circulation model Echam-4: model description and simulation of present day climate. Max Planck Institut fur Meteorologie, rep. 218:90Google Scholar
  16. Ronchi C, De Luigi C, Ciccarelli N, Loglisci N, 2008. Development of a daily gridded climatological air temperature dataset based on a optimal interpolation of ERA-40 reanalysis downscaling and a local high resolution thermometers network, In: Proceedings of EMS annual meeting—European conference on applied climatology (ECAC) 29 September–03 October 2008, Amsterdam (The Netherlands)Google Scholar
  17. Steppeler J, Doms G, Schättler U, Bitzer HW, Gassmann A, Damrath U, Gregoric G (2003) Meso-gamma scale forecasts using the non-hydrostatic model LM. Meteorol Atmos Phys 82:75–96CrossRefGoogle Scholar
  18. Tiedtke M (1989) A comprehensive mass flux scheme for cumulus parameterization in large scale models. Mon Wea Rev 117:1779–1800CrossRefGoogle Scholar
  19. Uppala SM et al (2006) The ERA-40 re-analysis. Quart J R Meteor Soc 612:2961–3012Google Scholar
  20. Valcke S (2006) OASIS3 User Guide (prism_2-5). PRISM Support Initiative 3:68Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • E. Bucchignani
    • 1
  • A. Sanna
    • 1
  • S. Gualdi
    • 1
  • S. Castellari
    • 1
  • P. Schiano
    • 1
  1. 1.CMCC–Centro Euromediterraneo per i Cambiamenti ClimaticiLecceItaly

Personalised recommendations