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Characteristics and Numerical Simulations of Extremely Large Atmospheric Boundary-layer Heights over an Arid Region in North-west China

机译:西北干旱区超大大气边界层高度的特征及数值模拟

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摘要

Over arid regions in north-west China, the atmospheric boundary layer can be extremely high during daytime in late spring and summer. For instance, the depth of the observed convective boundary layer can exceed 3,000 m or even be up to 4,000 m at some stations. In order to characterize the atmospheric boundary-layer (ABL) conditions and to understand the mechanisms that produce such an extreme boundary-layer height, an advanced research version of the community weather research and forecasting numerical model (WRF) is employed to simulate observed extreme boundary-layer heights in May 2000. The ability of the WRF model in simulating the atmospheric boundary layer over arid areas is evaluated. Several key parameters that contribute to the extremely deep boundary layer are identified through sensitivity experiments, and it is found that the WRF model is able to capture characteristics of the observed deep atmospheric boundary layer. Results demonstrate the influence of soil moisture and surface albedo on the simulation of the extremely deep boundary layer. In addition, the choice of land-surface model and forecast lead times also plays a role in the accurate numerical simulation of the ABL height.
机译:在中国西北的干旱地区,春末夏初的白天,大气边界层可能会非常高。例如,对流边界层的深度在某些站点可能超过3,000 m,甚至高达4,000 m。为了表征大气边界层(ABL)的条件并了解产生这种极端边界层高度的机制,采用了社区天气研究和预报数值模型(WRF)的高级研究版本来模拟观测到的极端边界层高度。边界层高度于2000年5月。评估了WRF模型在干旱地区模拟大气边界层的能力。通过敏感性实验确定了影响极深边界层的几个关键参数,并且发现WRF模型能够捕获观测到的深层大气边界层的特征。结果证明了土壤水分和表面反照率对极深边界层模拟的影响。此外,地表模型的选择和预报提前期也对ABL高度的精确数值模拟起作用。

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