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DOI | 10.1175/JAS-D-17-0191.1 |
How Well Can We Represent the Spectrum of Convective Clouds in a Climate Model? Comparisons between Internal Parameterization Variables and Radar Observations | |
Labbouz, Laurent1,3; Kipling, Zak1,4; Stier, Philip1; Protat, Alain2 | |
2018-05-01 | |
发表期刊 | JOURNAL OF THE ATMOSPHERIC SCIENCES
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ISSN | 0022-4928 |
EISSN | 1520-0469 |
出版年 | 2018 |
卷号 | 75期号:5页码:1509-1524 |
文章类型 | Article |
语种 | 英语 |
国家 | England; Australia; France |
英文摘要 | Current climate models cannot resolve individual convective clouds, and hence parameterizations are needed. The primary goal of convective parameterization is to represent the bulk impact of convection on the gridbox-scale variables. Spectral convective parameterizations also aim to represent the key features of the subgrid-scale convective cloud field such as cloud-top-height distribution and in-cloud vertical velocities in addition to precipitation rates. Ground-based radar retrievals of these quantities have been made available at Darwin, Australia, permitting direct comparisons of internal parameterization variables and providing new observational references for further model development. A spectral convective parameterization [the convective cloud field model (CCFM)] is discussed, and its internal equation of motion is improved. Results from the ECHAM-HAM model in single-column mode using the CCFM and the bulk mass flux Tiedtke-Nordeng scheme are compared with the radar retrievals at Darwin. The CCFM is found to outperform the Tiedtke-Nordeng scheme for cloud-top-height and precipitation-rate distributions. Radar observations are further used to propose a modified CCFM configuration with an aerodynamic drag and reduced entrainment parameter, further improving both the convective cloud-top-height distribution (important for large-scale impact of convection) and the in-cloud vertical velocities (important for aerosol activation). This study provides a new development in the CCFM, improving the representation of convective cloud spectrum characteristics observed in Darwin. This is a step toward an improved representation of convection and ultimately of aerosol effects on convection. It also shows how long-term radar observations of convective cloud properties can help constrain parameters of convective parameterization schemes. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000434270600009 |
WOS关键词 | CUMULUS CONVECTION ; VERTICAL VELOCITY ; MOIST CONVECTION ; SENSITIVITY ; MASS ; ENTRAINMENT ; ENSEMBLE ; MOTION ; SCHEME ; VARIABILITY |
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/29649 |
专题 | 地球科学 |
作者单位 | 1.Univ Oxford, Dept Phys, Oxford, England; 2.Bur Meteorol, Melbourne, Vic, Australia; 3.Univ Paul Sabatier, Lab Aerol, Toulouse, France; 4.ECMWF, Reading, Berks, England |
推荐引用方式 GB/T 7714 | Labbouz, Laurent,Kipling, Zak,Stier, Philip,et al. How Well Can We Represent the Spectrum of Convective Clouds in a Climate Model? Comparisons between Internal Parameterization Variables and Radar Observations[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2018,75(5):1509-1524. |
APA | Labbouz, Laurent,Kipling, Zak,Stier, Philip,&Protat, Alain.(2018).How Well Can We Represent the Spectrum of Convective Clouds in a Climate Model? Comparisons between Internal Parameterization Variables and Radar Observations.JOURNAL OF THE ATMOSPHERIC SCIENCES,75(5),1509-1524. |
MLA | Labbouz, Laurent,et al."How Well Can We Represent the Spectrum of Convective Clouds in a Climate Model? Comparisons between Internal Parameterization Variables and Radar Observations".JOURNAL OF THE ATMOSPHERIC SCIENCES 75.5(2018):1509-1524. |
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