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Combined impacts of convection and microphysics parameterizations on the simulations of precipitation and cloud properties over Asia

机译:对流和微观物理参数化对亚洲降水和云特性模拟的综合影响

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摘要

Convection and microphysics parameterization schemes (i.e. CPS and MPS) are two important components related to the precipitation and cloud simulations in climate models, and one parameterization's impacts on the results can be dependent on the treatments in the other one. This study investigates the individual and combined impacts of CPS and MPS on the precipitation and cloud simulations over Asia based on nine regional model experiments using combinations of three CPSs of the Kain-Fritsch (KF), Zhang McFarlane (ZM), and Grell 3D ensemble (G3), and three MPSs of the WRF double-moment 5-class (WDM5), WRF double-moment 6-class (WDM6), and Morrison double-moment (MORR). We first evaluate the simulated precipitation and find the experiment configured with the ZM CPS and MORR MPS performs the best when considering both the precipitation mean magnitude and spatial pattern. The sensitivity analysis results show that enhanced convection due to changing the CPS can cause strengthened or weakened stratiform processes, depending on the height of convective detrainments relative to that of convective drying, which is different among CPSs. In general, the CPS impacts on precipitation and clouds are larger when associating with the MORR MPS than with the other two MPSs as the former simulates more clouds and exhibits larger sensitivity of stratiform-type drying to convective detrainments. The MPS impacts on the precipitation and cloud simulations are also highly related to the CPS's behavior in simulating ice detrainments. Compared to the sum of the individual effects of CPS and MPS, simultaneously changing the two parameterizations causes considerably larger impacts on the precipitation and cloud simulations, suggesting the strong nonlinear interaction between the CPS and MPS.
机译:对流和微物理参数化方案(即CPS和MPS)是与气候模型中的降水和云模拟有关的两个重要组成部分,一个参数化对结果的影响可能取决于另一种方法。这项研究基于9个区域模型实验,使用Kain-Fritsch(KF),Zhang McFarlane(ZM)和Grell 3D系综的九个区域模型实验,研究了CPS和MPS对亚洲降水和云模拟的个体和综合影响。 (G3),以及WRF双矩5级(WDM5),WRF双矩6级(WDM6)和Morrison双矩(MORR)的三个MPS。我们首先评估模拟的降水量,发现同时考虑降水量的平均大小和空间格局时,使用ZM CPS和MORR MPS配置的实验效果最佳。敏感性分析结果表明,由于对流约束的高度相对于对流干燥的高度,CPS的变化导致对流的增强会导致层状过程的增强或减弱,这在CPS之间是不同的。通常,与MORR MPS关联时,CPS对降水和云的影响要大于与其他两个MPS关联,因为前者模拟更多的云,并且表现出层状干燥对对流减缓的敏感性。 MPS对降水和云模拟的影响也与CPS在模拟冰消减过程中的行为高度相关。与CPS和MPS的各个效应之和相比,同时更改两个参数设置对降水和云模拟的影响更大,这表明CPS和MPS之间存在强烈的非线性相互作用。

著录项

  • 来源
    《Atmospheric research》 |2018年第11期|172-185|共14页
  • 作者单位

    Nanjing Meteorol Bur, Nanjing, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Atmospher Sci, CMA NJU Joint Lab Climate Predict Studies, Nanjing, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Atmospher Sci, CMA NJU Joint Lab Climate Predict Studies, Nanjing, Jiangsu, Peoples R China;

    Pacific Northwest Natl Lab, Richland, WA USA;

    Nanjing Univ, Sch Atmospher Sci, CMA NJU Joint Lab Climate Predict Studies, Nanjing, Jiangsu, Peoples R China;

    Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Key Lab Meteorol Disaster, Minist Educ, Nanjing, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Atmospher Sci, CMA NJU Joint Lab Climate Predict Studies, Nanjing, Jiangsu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Convection and microphysics parameterizations; Nonlinear combined impacts; Precipitation and cloud simulations; Asia; WRF model;

    机译:对流和微物理参数化;非线性组合影响;降水和云模拟;亚洲;WRF模型;

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