High-resolution sensitivity studies with the regional climate model COSMO-CLM C

This paper presents sensitivity studies with the regional climate model COSMO-CLM for southwest Germany and the period from 1991 to 2000. The inf uence of horizontal resolution (7 km and 14 km) and driving data (ERA-40 and NCEP reanalysis data) on simulation results are assessed and a suitable simulation setup for high-resolution simulations is derived by using varying domain sizes, soil moisture initialization, physical parameterizations and numerical schemes. The use of ERA-40 reanalyses as driving data yields better overall results for temperature and precipitation than the use of NCEP reanalysis data. Increase in the horizontal resolution leads to better simulation results compared to observations. The choice of driving data has a larger impact on simulation results than changing resolutions, physical parameterizations, numerical schemes or initial soil water contents for simulations of this area.

[1]  S. Hagemann,et al.  Evaluation of water and energy budgets over Colombia, South America , 2010 .

[2]  S. Seneviratne,et al.  Analysis of ERA40-driven CLM simulations for Europe , 2008 .

[3]  H. Winnebeck,et al.  Erstellung und Einsatz eines Programms zur Reststoffverfolgung und -dokumentation , 2007 .

[4]  M. Rojas,et al.  Simulation and Sensitivity in a Nested Modeling System for South America. Part I: Reanalyses Boundary Forcing , 2003 .

[5]  R. Dickinson,et al.  Effects of frozen soil on soil temperature, spring infiltration, and runoff: Results from the PILPS 2(d) experiment at Valdai, Russia , 2003 .

[6]  Daniela Jacob,et al.  A note to the simulation of the annual and inter-annual variability of the water budget over the Baltic Sea drainage basin , 2001 .

[7]  J. Dudhia,et al.  Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part II: Preliminary Model Validation , 2001 .

[8]  J. McBride,et al.  Verification of precipitation in weather systems: determination of systematic errors , 2000 .

[9]  F. Kucharski,et al.  Variational analysis of effective soil moisture from screen‐level atmospheric parameters: Application to a short‐range weather forecast model , 1999 .

[10]  R. Betts,et al.  The impact of new land surface physics on the GCM simulation of climate and climate sensitivity , 1999 .

[11]  F. Giorgi,et al.  The Effects of Domain Choice on Summer Precipitation Simulation and Sensitivity in a Regional Climate Model , 1998 .

[12]  Sensitivity Studies For , 1997 .

[13]  D. Verseghy,et al.  CLASS-A Canadian Land Surface Scheme for GCMs , 1993 .

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

[15]  Elvira Malitte.  Theoretische und numerische Untersuchungen zu speziellen Steuerproblemen , 1981 .

[16]  Van Genuchten,et al.  A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .

[17]  J. Deardorff.  Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation , 1978 .

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

[19]  P. E. Rijtema.  Soil moisture forecasting , 1969 .