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大气边界层MYNN尺度自适应参数化方案对全球-区域一体化模式海雾模拟能力的影响

Impacts of the MYNN Scale-Aware Boundary-Layer Parameterization on the Sea Fog Modeling by Using a Unified Global-Regional Atmospheric Model

  • 摘要: 全球-区域一体化大气模式YUNMA是基于阴阳网格开发的非静力大气数值模式。为提升模式对大气边界层(Atmospheric Boundary Layer, ABL)过程的模拟能力,本文利用尺度自适应的Mellor–Yamada–Nakanishi–Niino(MYNN) ABL参数化方案替换模式中原有MRF (Medium-Range Forecast model) K廓线方案,通过ABL湍流动能的预报约束和包含局地和非局地湍流通量的尺度自适应参数化,改善了ABL湍流结构和物理量分布。对2014年2月26日一次黄海海雾过程的数值模拟试验表明,耦合MYNN方案的YUNMA模式合理再现了雾区的时空演变,模拟雾区TS(Threat Score)评分较利用MRF的结果提高0.48,模拟露点温度廓线均方根误差减小0.3?1.8°C,改善了低层湍流垂直输送特征和暖湿结构,较好地模拟了黄海区域的湍流降温和增湿效果,展示了较好的湍流混合与垂直交换模拟能力。MYNN方案的耦合显著提升了YUNMA模式的ABL过程模拟能力,可为大气数值模式发展提供参考。

     

    Abstract: The Yin-Yang-grid Unified Model for the Atmosphere (YUNMA) is a non-hydrostatic atmospheric model developed on the quasi-uniform Yin-Yang grid. In order to improve the model performance in simulating atmospheric boundary-layer processes, a scale-aware Mellor-Yamada-Nakanishi-Niino (MYNN) boundary-layer parameterization scheme is implemented into the YUNMA model instead of the original MRF scheme. With the constraint of prognostic turbulent kinetic energy (TKE) and the scale-aware parameterization of both local and non-local turbulences, turbulent structure and the distribution of physical variables are improved in the boundary layer. A numerical simulation on a sea fog process over the Yellow Sea on 26 February 2014 shows that the YUNMA model with the MYNN scheme reproduced the proper spatio-temporal variation of the sea fog with the Threat Score increased by 0.48. The root mean square error of dew point temperature was decreased by 0.3?1.8°C below 700 hPa. The MYNN scheme enhanced the feature of low-level vertical turbulent transport and the structure of temperature and moisture, and improved the temperature decrease and moisture increase associated with turbulences in the Yellow Sea region. Outstanding ability in representing subgrid-scale turbulent mixing and vertical exchanges is revealed. Implementation of the MYNN scheme obviously improved the performance of the YUNMA model in simulating the boundary-layer processes, which can be used for reference in atmospheric model developments.

     

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