GSTDTAP  > 气候变化
DOI10.1002/2016JD026404
An investigation of microphysics and subgrid-scale variability in warm-rain clouds using the A-Train observations and a multiscale modeling framework
Takahashi, Hanii1,2; Lebsock, Matthew2; Suzuki, Kentaroh3; Stephens, Graeme2,4; Wang, Minghuai5,6,7
2017-07-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2017
卷号122期号:14
文章类型Article
语种英语
国家USA; Japan; England; Peoples R China
英文摘要

A common problem in climate models is that they are likely to produce rain at a faster rate than is observed and therefore produce too much light rain (e.g., drizzle). Interestingly, the Pacific Northwest National Laboratory (PNNL) multiscale modeling framework (MMF), whose warm-rain formation process is more realistic than other global models, has the opposite problem: the rain formation process in PNNL-MMF is less efficient than the real world. To better understand the microphysical processes in warm cloud, this study documents the model biases in PNNL-MMF and evaluates warm cloud properties, subgrid variability, and microphysics, using A-Train satellite observations to identify sources of model biases in PNNL-MMF. Like other models PNNL-MMF underpredicts the warm cloud fraction with compensating large optical depths. Associated with these compensating errors in cloudiness are compensating errors in the precipitation process. For a given liquid water path, clouds in the PNNL-MMF are less likely to produce rain than are real-world clouds. However, when the model does produce rain it is able to produce stronger precipitation than reality. As a result PNNL-MMF produces about the correct mean rain rate with an incorrect distribution of rates. The subgrid variability in PNNL-MMF is also tested, and results are fairly consistent with observations, suggesting that the possible sources of model biases are likely to be due to errors in its microphysics or dynamics rather than errors in the subgrid-scale variability produced by the embedded cloud resolving model.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000408346000017
WOS关键词CLIMATE MODEL ; PARAMETERIZATION SCHEMES ; PNNL-MMF ; PRECIPITATION ; SIMULATIONS ; STRATOCUMULUS ; RADAR ; SATELLITE ; ALGORITHM ; MISSION
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/32352
专题气候变化
作者单位1.Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA 90095 USA;
2.CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA;
3.Univ Tokyo, Atmosphere & Ocean Res Inst, Chiba, Japan;
4.Univ Reading, Dept Meteorol, Reading, Berks, England;
5.Nanjing Univ, Inst Climate & Global Change Res, Nanjing, Jiangsu, Peoples R China;
6.Nanjing Univ, Sch Atmospher Sci, Nanjing, Jiangsu, Peoples R China;
7.Collaborat Innovat Ctr Climate Change, Nanjing, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Takahashi, Hanii,Lebsock, Matthew,Suzuki, Kentaroh,et al. An investigation of microphysics and subgrid-scale variability in warm-rain clouds using the A-Train observations and a multiscale modeling framework[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(14).
APA Takahashi, Hanii,Lebsock, Matthew,Suzuki, Kentaroh,Stephens, Graeme,&Wang, Minghuai.(2017).An investigation of microphysics and subgrid-scale variability in warm-rain clouds using the A-Train observations and a multiscale modeling framework.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(14).
MLA Takahashi, Hanii,et al."An investigation of microphysics and subgrid-scale variability in warm-rain clouds using the A-Train observations and a multiscale modeling framework".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.14(2017).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Takahashi, Hanii]的文章
[Lebsock, Matthew]的文章
[Suzuki, Kentaroh]的文章
百度学术
百度学术中相似的文章
[Takahashi, Hanii]的文章
[Lebsock, Matthew]的文章
[Suzuki, Kentaroh]的文章
必应学术
必应学术中相似的文章
[Takahashi, Hanii]的文章
[Lebsock, Matthew]的文章
[Suzuki, Kentaroh]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。