LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Plavcová, Eva; Kyselý, Jan (2011)
Publisher: Co-Action Publishing
Journal: Tellus A
Languages: English
Types: Article
Subjects:
Reproduction of daily maximum and minimum temperatures, including tails of their distributions and links to large-scale circulation, is evaluated in an ensemble of high-resolution regional climate model (RCM) simulations over the Czech Republic. RCM data for recent climate (1961–1990) are validated against observed data gridded from a high-density station network. We find large biases in mean monthly temperatures and in seasonal extremes, which are significant in most RCMs throughout the year. The results suggest that an RCM’s formulation plays a much more important role in summer, whereas in winter RCM performance is closely linked to the driving GCM. Biases are usually larger for extremes than central parts of temperature distributions, and RCMs tend to underestimate the severity of extremes in both seasons. Substantial underestimation of diurnal temperature range throughout the year in all RCMs and a shift of maximum in its annual cycle suggest general errors in simulating climate processes affecting the difference between daytime and nighttime temperatures. Some features of the temperature biases in RCMs are related to deficiencies in the simulation of atmospheric circulation, particularly too strong advection and overestimation of westerly flow at the expense of easterly flow in most RCMs. The general biases in simulating anticyclonic, cyclonic and straight flow also contribute to the underestimated diurnal temperature range.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Barry, R. G. and Carleton, A. M. 2001. Synoptic and Dynamic Climatology. Routledge, London, 620 pp.
    • Blenkinsop, S., Jones, P. D., Dorling, S. R. and Osborn, T. J. 2009. Observed and modelled influence of atmospheric circulation on central England temperature extremes. Int. J. Climatol. 29, 1642-1660.
    • Christensen, J. H., Christensen, O. B., Lopez, P., van Meijgaard, E. and Botzet, M. 1996. The HIRHAM4 regional atmospheric climate model. Scientific Report 96-4, The Danish Meteorological Institute, Copenhagen, Denmark.
    • Christensen, J. H., Boberg, F., Christensen, O. B. and Lucas-Picher, P. 2008. On the need for bias correction of regional climate change projections of temperature and precipitation. Geophys. Res. Lett. 35, L20709, doi:10.1029/2008GL035694.
    • Coles, S. 2001. An Introduction to Statistical Modeling of Extreme Values. Springer Verlag, London, 208 pp.
    • Demuzere, M., Werner, M., van Lipzig, N. P. M. and Roeckner, E. 2009. An analysis of present and future ECHAM5 pressure fields using a classification of circulation patterns. Int. J. Climatol. 29, 1796-1810.
    • Giorgi, F., Bi, X. and Pal, J. S. 2004. Mean, interannual variability and trends in a regional climate change experiment over Europe. I. Present-day climate (1961-1990). Clim. Dyn. 22, 733- 756.
    • Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D. and New, M. 2008. A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006. J. Geophys. Res. 113, D20119, doi:10.1029/2008JD010201.
    • Holtanova´, E., Kalvova´, J., Miksˇovsky´ , J., Pisˇoft, P. and Motl, M. 2010. Analysis of uncertainties in regional climate model outputs over the Czech Republic. Stud. Geophys. Geod. 54, 513-528.
    • Hosking, J. R. M. 1990. L-moments: analysis and estimation of distributions using linear combinations of order statistics. J. R. Statist. Soc. B 52, 105-124.
    • Isaaks, E. H. and Srivastava, R. M. 1989. An Introduction to Applied Geostatistics. Oxford University Press, New York, 561 pp.
    • Jacob, D. 2001. A note to the simulation of the annual and inter-annual variability of the water budget over the Baltic Sea drainage basin. Meteorol. Atmos. Phys. 77, 61-73.
    • Jacob, D., Ba¨rring, L., Christensen, O. B., Christensen, J. H., de Castro, M. and co-authors. 2007. An inter-comparison of regional climate models for Europe: model performance in present-day climate. Clim. Change 81, 31-52.
    • Jenkinson, A. F. and Collison, F. P. 1977. An initial climatology of gales over the North Sea, Synoptic Climatology Branch Memorandum No. 62, Meteorological Office, Bracknell, U.K.
    • Kjellstro¨ m, E., Ba¨rring, L., Gollvik, S., Hansson, U., Jones, C. and coauthors. 2005. A 140-year simulation of European climate with the new version of the Rossby Centre regional atmospheric climate model (RCA3). SMHI Reports Meteorology and Climatology Volume 108, SMHI, SE-60176. Norrko¨ ping, Sweden, 54 pp.
    • Kjellstro¨ m, E., Ba¨rring, L., Jacob, D., Jones, R., Lenderink, G. and co-authors. 2007. Modelling daily temperature extremes: recent climate and future changes over Europe. Clim. Change 81, 249-265.
    • Kjellstro¨ m, E., Nikulin, G., Hansson, U., Strandberg, G. and Ullerstig, A. 2011. 21st century changes in the European climate: uncertainties derived from an ensemble of regional climate model simulations. Tellus 63A, doi:10.1111/j.1600-0870.2010.00475.x
    • Kostopoulou, E., Tolika, K., Tegoulias, I., Giannakopoulos, C., Somot, S. and co-authors. 2009. Evaluation of a regional climate model using in situ temperature observations over the Balkan Peninsula. Tellus 61A, 357-370.
    • Kysely´ , J., Beranova´, R., Picek, J. and Sˇ teˇpa´nek, P. 2008. Simulation of summer temperature extremes over the Czech Republic in regional climate models. Meteorologische Zeitschrift 17, 645-661.
    • Kysely´ , J. 2010. Recent severe heat waves in central Europe: how to view them in a long-term prospect? Int. J. Climatol. 30, 89-109.
    • Kysely´ , J. and Plavcova´, E. 2010. A critical remark on the applicability of E-OBS European gridded temperature data set for validating control climate simulations. J. Geophys. Res. 115, D23118, doi:10.1029/2010JD014123.
    • Lenderink, G., van den Hurk, B., van Meijgaard, E., van Ulden, A. and Cujipers H. 2003. Simulation of present day climate in RACMO2: first results and model developments. KNMI, Technical Report 252, 24 pp.
    • Lenderink, G., van Ulden, A., van den Hurk, B. and van Meijgaard, E. 2007. Summertime inter-annual temperature variability in an ensemble of regional model simulations: analysis of the surface energy budget. Clim. Change 81, 233-247.
    • Nikulin, G., Kjellstro¨ m, E., Hansson, U., Strandberg, G. and Ullerstig, A. 2010. Evaluation and future projections of temperature, precipitation and wind extremes over Europe in an ensemble of regional climate simulations. Tellus 63A, doi:10.1111/j.1600-0870.2010.00466.x.
    • Osborn, T. J., Conway, D., Hulme, M., Gregory, J. M. and Jones, P. D. 1999. Air flow influences on local climate: observed and simulated mean relationships for the United Kingdom. Clim. Res. 13, 173-191.
    • Roeckner, E., Brokopf, R., Esch, M., Giorgetta, M., Hagemann, S. and co-authors. 2006. Sensitivity of simulated climate to horizontal and vertical resolution in the ECHAM5 atmosphere model. J. Clim. 19, 3771-3791.
    • Samuelsson, P., Jones, C. G., Wille´n, U., Ullerstig, A., Gollvik, S. and co-authors. 2011. The Rossby Centre Regional Climate Model RCA3: Model description and performance. Tellus 63A, this issue.
    • Sanchez-Gomez, E., Somot, S. and De´que, M. 2009. Ability of an ensemble of regional climate models to reproduce weather regimes over Europe-Atlantic during the period 1961-2000. Clim. Dyn. 33, 723-736.
    • Seneviratne, S. I., Pal, J. S., Eltahir, E. A. B. and Scha¨r, C. 2002. Summer dryness in a warmer climate: a process study with a regional climate model. Clim. Dyn. 20, 69-85.
    • Sˇ teˇpa´nek, P., Zahradn´ıcˇek, P. and Skala´k, P. 2009. Data quality control and homogenization of air temperature and precipitation series in the area of the Czech Republic in the period 1961-2007. Adv Sci. Res. 3, 23-26.
    • Turnpenny, J. R., Crossley, J. F., Hulme, M. and Osborn, T. J. 2002. Air flow influences on local climate: comparison of a regional climate model with observations over the United Kingdom. Clim. Res. 20, 189-202.
    • Uppala, S. M., Kallberg, P. W., Simmons, A. J., Andrae, U. and coauthors. 2005. The ERA-40 re-analysis. Q. J. R. Meteorol. Soc. 131, 2961-3012.
    • van der Linden, P. and Mitchell, J. F. B. (eds.) 2009. ENSEMBLES: Climate Change and its Impacts: Summary of Research and Results from the ENSEMBLES Project. Met Office Hadley Centre, Exeter, UK, 160 pp.
    • van Ulden, A., Lenderink, G., van den Hurk, B. and van Meijgaard, E. 2007. Circulation statistics and climate change in Central Europe: PRUDENCE simulations and observations. Clim. Change 81, 179-192.
  • No related research data.
  • Discovered through pilot similarity algorithms. Send us your feedback.

Share - Bookmark

Cite this article

Collected from