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CN 11-1768/O4

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尺度适应的对流参数化方案对一次华南飑线模拟的影响分析
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作者单位:

1.中国气象科学研究院;2.国家气象中心/数值预报中心

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基金项目:

国家重点研发专项 2018YFC1506902 和国家自然科学基金资助项目 41590874,41475051


Analysis on the Impact of Scale-aware Cumulus Parameterization Scheme on the Numerical Simulation of a Squall Line in South China
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Affiliation:

Numerical Weather Prediction Center, National Meteorological Center,

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    摘要:

    尺度适应(scale-aware)的物理过程是现代数值预报发展的一种趋势,本文针对GRAPES_Meso(Global/Regional Assimilation and Prediction Enhanced System)模式没有考虑物理过程尺度适应的现状,首先在KFeta(Kain-Fritsch Eta)积云对流参数化方案中引进了尺度适应过程,对该方案的对流时间尺度、格点垂直速度以及夹卷率进行了基于尺度适应参数化的改进。为研究Scale-aware KFeta方案与原KFeta方案对不同分辨率模式模拟结果的影响,选取了一次华南飑线过程进行数值模拟和影响分析。结果表明:在3km、5km、10km、20km水平分辨率的GRAPES_Meso模式中,Scale-aware KFeta方案相比原方案,对降水强度及落区分布的模拟有一定的正效果,随着模式水平分辨率提高,次网格降水减少、格点降水增多、对流层中低层夹卷略有增强,对原来存在的对流层高层及低层偏冷的偏差有一定的改进,对流活跃区域的上升气流强度、云中水凝物含量更符合真实的天气系统演变。综合来看,改进后的方案更适用于高分辨率数值预报模式,该研究结果可以为尺度适应对流参数化方案的应用及数值模式强降水预报性能的优化提供有益的参考。

    Abstract:

    The scale-aware physical process is a trend of modern numerical weather prediction. Considering that GRAPES_Meso (Global/Regional Assimilation and Prediction Enhanced System) model didn’t include this physical process, this paper introduces the scale-aware parameterization in the KFeta (Kain-Fritsch Eta) convective parameterization scheme firstly. The convective time scale, grid vertical velocity and entrainment rate of the scheme are improved based on the scale-aware parameterization. In order to analysis the impact on the results simulated by the scale-aware scheme and the original scheme in different resolution models, a squall line process in South China was selected. The results show that in the GRAPES_Meso model with horizontal resolution of 3km, 5km, 10km, and 20km, the scale-aware KFeta scheme has certain positive effects on the simulation of precipitation intensity and location. As the model resolution increasing, the sub-grid precipitation decreased and grid precipitation increased. The entrainment in the tropospheric middle and low layer slightly enhanced, the existing cold deviations have some improvement. The intensity of updraft and the hydrometeors content in the strong convection area are more consistent with the real atmospheric conditions. Overall, the modified scheme is more suitable for high resolution numerical weather prediction model. The results can provide useful reference for the application of scale-aware convective parameterization scheme and the optimization of strong precipitation forecasting performance in numerical weather prediction model.

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历史
  • 收稿日期:2018-10-04
  • 最后修改日期:2019-05-07
  • 录用日期:2019-05-14
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