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

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.

[1]  P. Bergthórsson,et al.  Numerical Weather Map Analysis , 1955 .

[2]  A. Blackadar The vertical distribution of wind and turbulent exchange in a neutral atmosphere , 1962 .

[3]  G. Mellor,et al.  A Hierarchy of Turbulence Closure Models for Planetary Boundary Layers. , 1974 .

[4]  H. Davies,et al.  A lateral boundary formulation for multi-level prediction models. [numerical weather forecasting , 1976 .

[5]  Kenneth A. Campana,et al.  An Economical Time–Differencing System for Numerical Weather Prediction , 1978 .

[6]  Graeme L. Stephens,et al.  Radiation Profiles in Extended Water Clouds. II: Parameterization Schemes , 1978 .

[7]  Hilding Sundqvist,et al.  A parameterization scheme for non-convective condensation including prediction of cloud water content , 1978 .

[8]  J. Louis A parametric model of vertical eddy fluxes in the atmosphere , 1979 .

[9]  J. Fritsch,et al.  Numerical Prediction of Convectively Driven Mesoscale Pressure Systems. Part I: Convective Parameterization , 1980 .

[10]  A. Hense,et al.  An economical method for computing the radiative energy transfer in circulation models , 1982 .

[11]  Zavisa Janjic,et al.  Nonlinear Advection Schemes and Energy Cascade on Semi-Staggered Grids , 1984 .

[12]  Richard A. Anthes,et al.  Numerical Simulation of Frontogenesis in a Moist Atmosphere , 1984 .

[13]  A. Betts A new convective adjustment scheme. Part I: Observational and theoretical basis , 1986 .

[14]  A. Slingo,et al.  Development of a revised longwave radiation scheme for an atmospheric general circulation model , 1986 .

[15]  Ann Henderson-Sellers,et al.  Biosphere-atmosphere Transfer Scheme (BATS) for the NCAR Community Climate Model , 1986 .

[16]  T. Palmer,et al.  Alleviation of a systematic westerly bias in general circulation and numerical weather prediction models through an orographic gravity wave drag parametrization , 1986 .

[17]  Y. Kuo,et al.  Description of the Penn State/NCAR Mesoscale Model: Version 4 (MM4) , 1987 .

[18]  T. Palmer,et al.  Parametrization and influence of subgridscale orography in general circulation and numerical weather prediction models , 1989 .

[19]  M. Tiedtke A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models , 1989 .

[20]  R. Dickinson,et al.  A regional climate model for the western United States , 1989 .

[21]  A. Slingo A GCM Parameterization for the Shortwave Radiative Properties of Water Clouds , 1989 .

[22]  P. Rowntree,et al.  A Mass Flux Convection Scheme with Representation of Cloud Ensemble Characteristics and Stability-Dependent Closure , 1990 .

[23]  F. Giorgi Simulation of Regional Climate Using a Limited Area Model Nested in a General Circulation Model , 1990 .

[24]  R. Smith A scheme for predicting layer clouds and their water content in a general circulation model , 1990 .

[25]  P. Robinson,et al.  The development of impact-oriented climate scenarios , 1991 .

[26]  B. Ritter,et al.  A comprehensive radiation scheme for numerical weather prediction models with potential applications in climate simulations , 1992 .

[27]  F. Giorgi,et al.  Development of a Second-Generation Regional Climate Model (RegCM2). Part II: Convective Processes and Assimilation of Lateral Boundary Conditions , 1993 .

[28]  Ulrike Lohmann,et al.  A global data set of land-surface parameters , 1994 .

[29]  Martin Wild,et al.  Validation of general circulation model radiative fluxes using surface observations , 1995 .

[30]  E. Roeckner,et al.  Regional climate simulation with a high resolution GCM: surface radiative fluxes , 1995 .

[31]  Richard G. Jones,et al.  Simulation of climate change over europe using a nested regional‐climate model. I: Assessment of control climate, including sensitivity to location of lateral boundaries , 1995 .

[32]  Jesper Heile Christensen,et al.  A Simple Framework for Testing the Quality of Atmospheric Limited-Area Models , 1995 .

[33]  E. Roeckner,et al.  Sensitivity of a general circulation model to parameterizations of cloud–turbulence interactions in the atmospheric boundary layer , 1995 .

[34]  M. Giorgetta,et al.  The water vapour continuum and its representation in ECHAM4 , 1995 .

[35]  D. Lüthi,et al.  Interannual variability and regional climate simulations , 1996 .

[36]  M. Claussen,et al.  The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate , 1996 .

[37]  B. Machenhauer,et al.  Very High-Resolution Regional Climate Simulations over Scandinavia—Present Climate , 1998 .