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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

Impact of the MYNN Scale-Aware Boundary-Layer Parameterization on Sea Fog Simulation Using a Unified Global–Regional Atmospheric Model

  • 摘要: 全球—区域一体化大气模式YUNMA(Yin–Yang-grid Unified Model for the Atmosphere)是基于阴阳网格开发的非静力大气数值模式,能避免极点问题。为提升模式对大气边界层(Atmospheric Boundary Layer,简称ABL)过程的模拟能力,本文利用尺度自适应的MYNN(Mellor–Yamada–Nakanishi–Niino)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°C~1.8°C,改善了低层湍流垂直输送特征和暖湿结构,正确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 nonhydrostatic atmospheric model developed on a quasi-uniform Yin–Yang grid to avoid the pole problem. To improve the performance of the model in simulating atmospheric boundary-layer processes, a scale-aware Mellor–Yamada–Nakanishi–Niino (MYNN) boundary-layer parameterization scheme is implemented into YUNMA, replacing the original Medium-Range Forecast model (MRF) scheme. By incorporating prognostic turbulent kinetic energy and scale-aware parameterization of both local and nonlocal turbulence, the MYNN scheme improves the simulation of turbulent structures and the distribution of physical variables within the boundary layer. A numerical simulation of a sea fog event over the Yellow Sea on February 26, 2014, shows that the YUNMA model with the MYNN scheme reproduced the spatiotemporal evolution of sea fog accurately, with the Threat Score increased by 0.48. The root mean square error of dew point temperature decreased by 0.3°C–1.8°C below 700 hPa. The MYNN scheme enhanced low-level vertical turbulent transport and the vertical structure of temperature and moisture fields, leading to realistic representations of temperature decrease and moisture increase associated with turbulence in the Yellow Sea region. Overall, the MYNN scheme demonstrates a strong capability to represent subgrid-scale turbulent mixing and vertical exchanges. Its implementation evidently improves the performance of the YUNMA model in simulating boundary-layer processes and provides useful guidance for further atmospheric model development.

     

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