Abstract

The correct simulation of the atmospheric boundary layer (ABL) is crucial for reliable weather forecasts in truly complex terrain. However, common assumptions for model parametrizations are only valid for horizontally homogeneous and flat terrain. Here, we evaluate the turbulence parametrization of the numerical weather prediction model COSMO with a horizontal grid spacing of Delta x = 1.1,hbox {km} for the Inn Valley, Austria. The long-term, high-resolution turbulence measurements of the i-Box measurement sites provide a useful data pool of the ABL structure in the valley and on slopes. We focus on days and nights when ABL processes dominate and a thermally-driven circulation is present. Simulations are performed for case studies with both a one-dimensional turbulence parametrization, which only considers the vertical turbulent exchange, and a hybrid turbulence parametrization, also including horizontal shear production and advection in the budget of turbulence kinetic energy (TKE). We find a general underestimation of TKE by the model with the one-dimensional turbulence parametrization. In the simulations with the hybrid turbulence parametrization, the modelled TKE has a more realistic structure, especially in situations when the TKE production is dominated by shear related to the afternoon up-valley flow, and during nights, when a stable ABL is present. The model performance also improves for stations on the slopes. An estimation of the horizontal shear production from the observation network suggests that three-dimensional effects are a relevant part of TKE production in the valley.

Highlights

  • Numerical weather prediction (NWP), together with the rise of computational power, has undergone significant improvements in recent years (Bauer et al 2015)

  • This situation is different at 1500 UTC (Fig. 3b), when a strong up-valley flow dominates the atmospheric boundary layer (ABL) structure in the Inn Valley

  • Modelled turbulence kinetic energy (TKE) is compared with TKE observations at the so-called i-Box stations, where each flux tower is located at a representative surface in complex terrain

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Summary

Introduction

Numerical weather prediction (NWP), together with the rise of computational power, has undergone significant improvements in recent years (Bauer et al 2015). Operational NWP models have horizontal grid spacings on the order of x = 1 km over larger domains (Ziemianski et al 2011; Leutwyler et al 2016). This brings improved representation of small-scale, inhomogeneous terrain, leading to a better representation of the atmospheric boundary layer (ABL) structure in NWP models. Other ABL measurement campaigns explored small-scale processes in a crater basin (METCRAX, Whiteman et al 2008; Lehner et al 2015), turbulence and the evening transition over inhomogeneous terrain (BLLAST, Lothon et al 2014), and the ABL structure near an isolated desert mountain (MATERHORN, Fernando et al 2015)

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