4.4 Article

Idealized Large-Eddy and Convection-Resolving Simulations of Moist Convection over Mountainous Terrain

期刊

JOURNAL OF THE ATMOSPHERIC SCIENCES
卷 73, 期 10, 页码 4021-4041

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/JAS-D-15-0341.1

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资金

  1. ETH Zurich
  2. MeteoSwiss through C2SM (ETH Zurich)
  3. joint University of Leeds/Met Office fellowship
  4. Hans Ertel Centre for Weather Research
  5. Federal Ministry of Transport and Digital Infrastructure (BMVI)

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On summertime fair-weather days, thermally driven wind systems play an important role in determining the initiation of convection and the occurrence of localized precipitation episodes over mountainous terrain. This study compares the mechanisms of convection initiation and precipitation development within a thermally driven flow over an idealized double-ridge system in large-eddy (LESs) and convection-resolving (CRM) simulations. First, LES at a horizontal grid spacing of 200m is employed to analyze the developing circulations and associated clouds and precipitation. Second, CRM simulations at horizontal grid length of 1 km are conducted to evaluate the performance of a kilometer-scale model in reproducing the discussed mechanisms. Mass convergence and a weaker inhibition over the two ridges flanking the valley combine with water vapor advection by upslope winds to initiate deep convection. In the CRM simulations, the spatial distribution of clouds and precipitation is generally well captured. However, if the mountains are high enough to force the thermally driven flow into an elevated mixed layer, the transition to deep convection occurs faster, precipitation is generated earlier, and surface rainfall rates are higher compared to the LES. Vertical turbulent fluxes remain largely unresolved in the CRM simulations and are underestimated by the model, leading to stronger upslope winds and increased horizontal moisture advection toward the mountain summits. The choice of the turbulence scheme and the employment of a shallow convection parameterization in the CRM simulations change the strength of the upslope winds, thereby influencing the simulated timing and intensity of convective precipitation.

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