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DOI | 10.1175/JAS-D-16-0146.1 |
PDF-Based Parameterization of Subgrid-Scale Hydrometeor Transport in Deep Convection | |
Wong, May1; Ovchinnikov, Mikhail2 | |
2017-04-01 | |
发表期刊 | JOURNAL OF THE ATMOSPHERIC SCIENCES
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ISSN | 0022-4928 |
EISSN | 1520-0469 |
出版年 | 2017 |
卷号 | 74期号:4 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | A parameterization scheme is proposed for the subgrid-scale transport of hydrometeors in an assumed probability density function (PDF) scheme. Joint distributions of vertical velocity and hydrometeor mixing ratios are typically unknown, but marginal (1D) PDFs of these variables are available. The parameterization is developed using high-resolution simulations of continental and tropical deep convection. A 3D cloud-resolving model (CRM) providing benchmark solutions has a horizontal grid spacing of 250 m and employs the Morrison microphysics scheme, which treats prognostically mass and number mixing ratios for four types of precipitating hydrometeors (rain, graupel, snow, and ice) as well as cloud droplet number mixing ratio. The subgrid-scale hydrometeor transport scheme assumes input given in the form of marginal PDFs of vertical velocity and hydrometeor mixing ratios; in this study, these marginal distributions are provided by the cloud-resolving model. Conditional sampling and scaling are then applied to the marginal distributions to account for subplume correlations. The parameterized fluxes tested for four episodes of deep convection show good agreement with benchmark fluxes computed directly from the CRM output. The results demonstrate the potential use of the subgrid-scale hydrometeor transport scheme in an assumed PDF scheme to parameterize the covariances of vertical velocity and hydrometeor mixing ratios. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000399333700018 |
WOS关键词 | PROBABILITY DENSITY-FUNCTIONS ; PART I ; MICROPHYSICS PARAMETERIZATION ; CLOUD ; MODELS ; CLUBB ; IOP |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/29345 |
专题 | 地球科学 |
作者单位 | 1.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 2.Pacific Northwest Natl Lab, Richland, WA 99352 USA |
推荐引用方式 GB/T 7714 | Wong, May,Ovchinnikov, Mikhail. PDF-Based Parameterization of Subgrid-Scale Hydrometeor Transport in Deep Convection[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2017,74(4). |
APA | Wong, May,&Ovchinnikov, Mikhail.(2017).PDF-Based Parameterization of Subgrid-Scale Hydrometeor Transport in Deep Convection.JOURNAL OF THE ATMOSPHERIC SCIENCES,74(4). |
MLA | Wong, May,et al."PDF-Based Parameterization of Subgrid-Scale Hydrometeor Transport in Deep Convection".JOURNAL OF THE ATMOSPHERIC SCIENCES 74.4(2017). |
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