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Sensitivity of meteorological variables on planetary boundary layer parameterization schemes in the WRF-ARW model

机译:WRF-ARW模型中气象变量对行星边界层参数化方案的敏感性

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摘要

The accuracy of meteorological fields produced by Numerical Weather Prediction (NWP) models are highly dependent on the physical parameterization schemes used. Any errors in simulations of meteorological fields will be passed on to subsequent processes (i.e. air quality models), and will have an effect on their outputs. Therefore, the realistic simulation of meteorological parameters is of utmost importance. The aim of the present research is to evaluate the performance of Planetary Boundary Layer (PBL) schemes contained in the non-hydrostatic Advanced Research Weather Research and Forecasting (WRF-ARW) model when simulating meteorological variables. Four frequently used PBL schemes were investigated by conducting sensitivity experiments during a month in spring and winter in the South African Highveld region for 2016. The simulations resulting from the different schemes were compared against one another, and statistically evaluated by making use of observational meteorological data at five sites. From these results, it is recommended that a local scheme be used for the Highveld region during winter. During spring, the clearly preferred scheme for the Highveld is Mellor-Yamada-Janjic (MYJ) scheme. Results from this study contributes to the establishment of a preferred PBL scheme in the WRF-ARW model, for use in South African Highveld region. Future planned research will considered the effect of the above-mentioned PBL schemes in the simulation of air quality over the same region.
机译:由数值天气预报(NWP)模型产生的气象场的准确性高度依赖于所用物理参数化方案。模拟气象场的任何错误将被传递到后续过程(即空气质量模型),并将对其输出产生影响。因此,气象参数的现实模拟至关重要。本研究的目的是评估在模拟气象变量时非静水压高级研究天气研究和预测(WRF-ARW)模型中所含的行星边界层(PBL)方案的性能。通过在2016年南非冬季地区的一个月内进行敏感性实验来研究四种经常使用的PBL方案。通过使用不同方案来互相比较,并通过利用观察气象数据来进行统计评估。在五个地点。从这些结果来看,建议在冬季使用局部方案。在春天期间,PhertVeld明确的优选方案是Mellor-yamada-Janjic(MyJ)方案。本研究的结果有助于在WRF-ARW模型中建立优选的PBL方案,用于南非南非高普尔德地区。未来的计划研究将考虑上述PBL方案在同一区域上的空气质量模拟中的影响。

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