High-Resolution Large-Eddy Simulations of Flow in a Steep Alpine Valley. Part I: Methodology, Verification, and Sensitivity Experiments

  • Fotini Katopodes Chow
    Environmental Fluid Mechanics Laboratory, Civil and Environmental Engineering, Stanford University, Stanford, California
  • Andreas P. Weigel
    Institute for Atmospheric and Climate Science, Swiss Federal Institute of Technology, Zurich, Switzerland
  • Robert L. Street
    Environmental Fluid Mechanics Laboratory, Civil and Environmental Engineering, Stanford University, Stanford, California
  • Mathias W. Rotach
    Institute for Atmospheric and Climate Science, Swiss Federal Institute of Technology, and Swiss Federal Office for Meteorology and Climatology, MeteoSwiss, Zurich, Switzerland
  • Ming Xue
    School of Meteorology, and Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, Oklahoma

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<jats:title>Abstract</jats:title><jats:p>This paper investigates the steps necessary to achieve accurate simulations of flow over steep, mountainous terrain. Large-eddy simulations of flow in the Riviera Valley in the southern Swiss Alps are performed at horizontal resolutions as fine as 150 m using the Advanced Regional Prediction System. Comparisons are made with surface station and radiosonde measurements from the Mesoscale Alpine Programme (MAP)-Riviera project field campaign of 1999. Excellent agreement between simulations and observations is obtained, but only when high-resolution surface datasets are used and the nested grid configurations are carefully chosen. Simply increasing spatial resolution without incorporating improved surface data gives unsatisfactory results. The sensitivity of the results to initial soil moisture, land use data, grid resolution, topographic shading, and turbulence models is explored. Even with strong thermal forcing, the onset and magnitude of the upvalley winds are highly sensitive to surface processes in areas that are well outside the high-resolution domain. In particular, the soil moisture initialization on the 1-km grid is found to be crucial to the success of the finer-resolution predictions. High-resolution soil moisture and land use data on the 350-m-resolution grid also improve results. The use of topographic shading improves radiation curves during sunrise and sunset, but the effects on the overall flow are limited because of the strong lateral boundary forcing from the 1-km grid where terrain slopes are not well resolved. The influence of the turbulence closure is also limited because of strong lateral forcing and hence limited residence time of air inside the valley and because of the stable stratification, which limits turbulent stress to the lowest few hundred meters near the surface.</jats:p>

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