Climate Dynamics

, Volume 13, Issue 7–8, pp 489–506 | Cite as

Validation of present-day regional climate simulations over Europe: LAM simulations with observed boundary conditions

  • J. H. Christensen
  • B. Machenhauer
  • R. G. Jones
  • C. Schär
  • P. M. Ruti
  • M. Castro
  • G. Visconti

Abstract.

 Nested limited-area modelling is one method of down-scaling general circulation model (GCM) climate change simulations. To give credibility to this method the nested limited-area model (LAM) must be shown to simulate local present-day climate conditions fairly accurately. Here seven different European limited-area models driven by observed boundary conditions (operational weather forecast analyses) are validated against observations, and inter-compared for summer and winter months. Relatively large biases are found. In summer large positive surface air temperature biases are found over southeast Europe. The main reason is deficiencies in the surface hydrological schemes causing an unrealistic drying of the soil. In at least one of the models, most likely several of them, an additional factor is an overestimation of incoming solar radiation. Apart from excessive precipitation in mountainous areas in some models they generally show a negative bias due to the drying and decreased advection from the Atlantic. In winter most models have a positive precipitation bias which seems to be caused by an enhancement of advection from the Atlantic and enhanced cyclone activity. Surface air temperature biases are negative probably due to an underestimation of the incoming longwave radiation.

Keywords

Cyclone Incoming Solar Radiation Climate Change Simulation Precipitation Bias Regional Climate Simulation 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • J. H. Christensen
    • 1
  • B. Machenhauer
    • 1
  • R. G. Jones
    • 1
  • C. Schär
    • 1
  • P. M. Ruti
    • 1
  • M. Castro
    • 1
  • G. Visconti
    • 2
  1. 1.Danish Meteorological Institute, Copenhagen Ø, DenmarkDK
  2. 2.University of L’Aquila, Coppito, ItalyIT

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