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Exploiting an ensemble of regional climate models to provide robust estimates of projected changes in monthly temperature and precipitation probability distribution functions Cover

Exploiting an ensemble of regional climate models to provide robust estimates of projected changes in monthly temperature and precipitation probability distribution functions

Open Access
|Jan 2009

References

  1. Beniston , M. , Stephenson , D. B. , Christensen , J. B., Ferro , C. A. T. , Frei , C. and co-authors. 2007 . Future extreme events in European climate: an exploration of regional climate model projections. Clim. Change 81 ( Supp1.1 ), 71 - 95 .
  2. Christensen , J. B. 1999 . Relaxation of soil variables in a regional climate model. Tellus 51A , 674 - 685 .
  3. Christensen , J. H. and Christensen , J. B. 2003 . Severe summertime flooding in Europe. Nature 421 , 805 - 806 .
  4. Christensen , J. H. and Christensen , J. B. 2007 . A summary of the PRU-DENCE model projections of changes in European climate during this century. Clim. Change 81 ( Supp1.1 ), 7 - 30 .
  5. Christensen , J. B. , Christensen , J. H. , Machenhauer , B. and Botzet , M. 1998 . Very high-resolution regional climate simulations over Scandinavia-Present climate. J. Clim . 11 , 3204 - 3229 .
  6. Christensen , J. H. , Carter , T. and Giorgi , E 2002 . PRUDENCE em-ploys new methods to assess european climate change . EOS 83 , p. 147 .
  7. Christensen , J. H. , Carter , T. R. , Rummukainen , M. and Amanatidis , G. 2007a . Evaluating the performance and utility of regional climate models: the PRUDENCE project. Clim. Change 81 ( Supp1.1 ), 1 - 6 .
  8. Christensen , J. H. , Hewitson , B. , Busuioc , A. , Chen , A. , Gao , X. and co-authors. 2007b. Regional climate projections . In: Climate Change 2007 : The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , (eds. A. Solomon , D. Qin , M. Manning , Z. Chen , M. Marquis , and co-editors ), Cambridge University Press , Cambridge, UK and New York, NY, USA .
  9. Collins , M. 2002 . Climate predictability on interannual to decadal time scales: the initial value problem . Clim. Dyn . 19 , 671 692 .
  10. Cox P. M. , Betts R. A. , Bunton C. B. , Essery R. L. H. , Rowntree P. R. and co-authors . 1999 . The impact of new land surface physics on the GCM simulation of climate and climate sensitivity. Clim. Dyn . 15 , 183 - 203 .
  11. Déqué , M. , Jones , R. G. , Wild , M. , Giorgi , F. , Christensen , J. H. and co-authors. 2005. Global high resolution versus Limited Area Model climate change projections over Europe: quantifying confidence level from PRUDENCE results Clim. Dyn . 25 , 653 - 670 .
  12. Déqué , M. , Rowell , D. P. , Liithi , D. , Giorgi , F. , Christensen , J. H. and co-authors. 2007. An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections . Clim. Change 81 ( Supp1.1 ), 53 - 70 .
  13. Edwards , J. M. and Slingo , A. 1996 . Studies with a flexible new radiation code . Quart. J. R. MeteoroL Soc . 122 , 689 719 .
  14. Elcström , M. , Hingray , B. , Mezghani , A. and Jones , P. D. 2007 . Regional climate model data used within the SWURVE project 2: addressing uncertainty un regional climate model data for five European case study areas . HydroL Earth SysL Sci . 11 , 1085 1096 .
  15. Ferro , C. A. T. , Hannachi , A. and Stephenson , D. B. 2005 . Simple non-parametric techniques for exploring changing probability distribution of weather . J. Clim . 18 , 4344 4354 .
  16. Fowler , H. J. , Ekstriim , M. , Blenlcinsop , S. and Smith , A. P. 2007 . Estimating change in extreme european precipitation us-ing a multimodel ensemble . J. Geophys. Res . 112 , D18104 , doi: 10.1029/2007JD008619 .
  17. Frei , C. , Schöll , R. , Fukutome , S. , Schmidli , J. and Vidale , P. L. 2006 . Future change of precipitation extremes in Europe: intercomparison of scenarios from regional climate models . J. Geophys. Res . 111 , D06105 , doi: 10.1029/2005JD005965 .
  18. Giorgi , F. and Mearns , L. J. 1999 . Regional climate modeling revisited. An introduction to the special issue. J. Geophys. Res . 104 , 6335 - 6352 .
  19. Giorgi , F. and Bi , X. 2000 . A study of internal variability of a regional climate model. J. Geophys. Res . 105 , 29 503 29 522 , doi: 10.1029/2000JD900269 .
  20. Giorgi , E , Brodeur , C. S. and Bates , G. T. 1994 . Regional climate change scenarios over the United States produced with a nested regional climate model . J. Clim . 7 , 375 399 .
  21. Giorgi , F. , Bi , X. and Pal , J. S. 2004a . Mean, interannual vari-ability and trends in a regional climate change experiment over aEurope: I. Present-day climate (1961-1990) . Clim. Dyn . 22 , 733 756 .
  22. Giorgi , F. , Bi , X. and Pal , J. S. 2004b . Mean, interannual variability and trends in a regional climate change experiment over Europe: II. Climate change scenario (2070-2100) . Clim. Dyn . 23 , 839 858 .
  23. Graham , L. R , Hagemann , S. , Jaun , S. and Beniston , M. 2007 . On interpreting hydrological change from regional climate models. Clim. Change 81 ( Supp1.1 ), 97 - 122 .
  24. Gregory , D. and Rowntree , P. R. 1990 . A mass flux convection scheme with representation of cloud ensemble characteristics and stability-dependent closure. Mon. Wea. Rev . 118 , 1483 - 1506 .
  25. Hulme , M. , Conway , D. , Jones , P. D., Jiang , T. , Barrow , E. M. and co-authors. 1995 . Construction of a 1961-1990 European climatology for climate change modelling and impact applications. Int. J. Climatol . 15 , 1333 - 1363 .
  26. Jacob , D. , Barring , L. , Christensen , J. B. , Christensen , J. H. , Castro , M. and co-authors. 2007 . An inter-comparison of regional climate models for Europe: model performance in present-day climate. Clim. Change 81 ( Supp1.1 ), 31 - 52 .
  27. Kessler , E. 1969 . On the distribution and continuity of water substance on the atmospheric circulation . MeteoroL Monogr; Amer MeteoroL Soc . 32 , 84pp .
  28. Khain , A. , Ovtchinnilcov , M. , Pinsky , M. , Pokrovsky , A. and Krugliak , H. 2000 . Notes on the state-of-the-art numerical modeling of cloud microphysics . Atmos. Res . 55 , 159 224 .
  29. Kjellström , E. , Barring , L. , Jacob , D. , Jones , R. , Lenderink , G. and co-authors . 2007. Modelling daily temperature extremes: recent climate and future climate changes over Europe. Clim. Change 81 ( Supp1.1 ), 249 - 265 .
  30. Lenderink , G. , Van Ulden , A. , Van der Hurk , B. and Van Meijgaard , E. 2007 . Summertime inter-annual temperature variability in an ensem-ble of regional model simulations: analysis of surface energy budget. Clim. Change 81 ( Supp1.1 ), 233 - 247 .
  31. Lin , Y. , Farley , R. D. and Orville , H. D. 1983 . Bulk parameterization of the snow field in a cloud model . J. Appl. MeteoroL 22 , 1065 1092 .
  32. Machenhauer , B. , Windelband , M. , Botzet , M. , Christensen , J. H. , Deque , M. and co-authors. 1998 . Validation and Analysis of Regional Present-day Climate and Climate Change Simulations Over Europe. Max-Planck Institut fiir Meteorologie , 275 , 60pp .
  33. Mearns , L. J. , Bogardi , I. , Matyasovsky , I. and Palecki , M. 1999 . Com-parison of climate change scenarios generated from regional climate model experiments and statistical downscaling. J. Geophys. Res . 104 , 6603 - 6621 .
  34. Murphy , J. M. , Sexton , D. M. H. , Barnett , D. N. , Jones , G. S. , Webb , M. J. and co-authors . 2004. Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature 430 , 768 - 772 .
  35. Nakicenovic , N. , Alcamo , J. , Davis , G. , de Vries , B. , Fenhann , J. and co-authors. 2000. IPCC Special Report on Emissions Scenarios. Cam-bridge University Press, Cambridge, UK and New York, NY, USA .
  36. New , M. , Lister , D. , Hulme , M. and Makin , I . 2002 . A high-resolution data set of surface climate over global land areas. Clim. Res . 21 , 1 - 25 .
  37. Perkins , S. E. , Pitman , A. J. , Holbrook , N. J. and McAneney , J. 2007 . Evaluation of the AR4 climate models’ simulated daily maximum temperature, minimum temperature, and precipitation over Australia using probability density functions . J. Clim . 20 , 4356 4376 .
  38. Pope , V. , Gallani , M. , Rowntree , P. and Statton , R. 2000 . The impact of new physical parameterizations in the Hadley Centre climate model: HadAM3 . Clim. Dyn . 16 , 123 146 .
  39. R&äis&änen , J. 2007 . How reliable are climate models? Tellus 59A , 2 29 .
  40. R&äis&änen , J. , Hansson , U. , Ullerstig , A. , Döscher , R. , Graham , L. P. and co-authors. 2004. European climate in the late twenty-first century: regional simulations with two driving global models and two forcing scenarios. Clim. Dyn . 22 , 13 - 31 .
  41. Rayner , N. A. , Parker , D. E. , Horton , E. B. , Folland , C. K. , Alexander , L. V. and co-authors. 2003. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century . J. Geophys. Res . 108 , doi: 10.1029/2002JDO02670 .
  42. Ritter , B. and Geleyn , J. F. 1992 . A comprehensive radiation scheme for numerical weather prediction models with potential applications in climate simulations . Mon. Wea. Rev . 120 , 303 325 .
  43. Rowell , D. P. 2005 . A scenario of European climate change for the late twenty-first century: seasonal means and interannual variability . Clim. Dyn . 25 , 837 849 .
  44. Sánchez , E. , Gallardo , C. , Gaertner , M. A. , Arribas , A. and Castro , M. 2004 . Future climate extreme events in the Mediterranean simulated by a regional climate model: a first approach . Global Planet. Change 44 , 163 180 .
  45. Sánchez , E. , Gaertner , M. A. , Gallardo , C. , Padorno , E. , Arribas , A. and co-authors. 2007a. Impacts of a change in vegetation description on simulated European summer present-day and future climates . Clim. Dyn . 29 , 319 - 332 .
  46. Sánchez , E. , Yagiie , C. and Gaertner , M. A. 2007b . Planetary boundary layer energetics simulated from a regional climate model over Europe for present climate and climate change conditions. Geophys. Res. Lett . 34 , doi: 10.1029/2006GL028340 .
  47. Semmler , T. and Jacob , D. 2004 . Modeling extreme precipitation events-a climate change simulation for Europe . Global Planet. Change 44 , 119 127 .
  48. Singh , V , Rajagopal , A. K. and Singh , K. 1986 . Derivation of some frequency distributions using the principle of maximum entropy (POME) . Adv. Water Resour 9 , 91 106 .
  49. Tapiador , F. J. , Sanchez , E. and Gaertner , M. A. 2007 . Regional changes in precipitation in Europe under an increased greenhouse emissions scenario . Geophys. Res. Lett . 34 , doi: .
  50. Tiedtke , M. 1989 . A comprehensive mass flux scheme for cumulus parameterization in large-scale models . Mon. Wea. Rev . 117 , 1779 1800 .
  51. Van Ulden , A. , Lenderink , G. , Van der Hurk , B. and Van Meijgaard , E. 2007 . Circulation statistics and climate change in central Europe: PRUDENCE simulation and observations. Clim. Change 81 ( Supp1.1 ), 329 341 .
  52. Vidale , P. L. , Luthi , D. , Frei , C. , Seneviratne , S. I. and Sch&är , C . 2003 . Predictability and uncertainty in a regional climate model . J. Geophys. Res . 108 , doi: 10.1029/2002JD002810 .
  53. Von Storch , H. and Zwiers , F. W. 2001 . Statistical Analysis in Climate Research . Cambridge University Press , UK .
  54. Zwiers , F. and Zhang , X. 2003 . Towards regional-scale climate change detection . J. Clim . 16 , 793 797 .
Language: English
Page range: 57 - 71
Submitted on: Mar 28, 2008
Accepted on: Jul 24, 2008
Published on: Jan 1, 2009
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2009 Francisco J. Tapiador, Enrique Sánchez, Raquel Romera, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.