Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-18-6157-2018 |
An automated cirrus classification | |
Gryspeerdt, Edward1,2; Quaas, Johannes2; Goren, Tom2; Klocke, Daniel3; Brueck, Matthias4 | |
2018-05-03 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:9页码:6157-6169 |
文章类型 | Article |
语种 | 英语 |
国家 | England; Germany |
英文摘要 | Cirrus clouds play an important role in determining the radiation budget of the earth, but many of their properties remain uncertain, particularly their response to aerosol variations and to warming. Part of the reason for this uncertainty is the dependence of cirrus cloud properties on the cloud formation mechanism, which itself is strongly dependent on the local meteorological conditions. In this work, a classification system (Identification and Classification of Cirrus or IC-CIR) is introduced to identify cirrus clouds by the cloud formation mechanism. Using reanalysis and satellite data, cirrus clouds are separated into four main types: orographic, frontal, convective and synoptic. Through a comparison to convection-permitting model simulations and back-trajectory-based analysis, it is shown that these observation-based regimes can provide extra information on the cloud-scale updraughts and the frequency of occurrence of liquid-origin ice, with the convective regime having higher updraughts and a greater occurrence of liquid-origin ice compared to the synoptic regimes. Despite having different cloud formation mechanisms, the radiative properties of the regimes are not distinct, indicating that retrieved cloud properties alone are insufficient to completely describe them. This classification is designed to be easily implemented in GCMs, helping improve future model-observation comparisons and leading to improved parametrisations of cirrus cloud processes. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000431367200003 |
WOS关键词 | MICROPHYSICAL PROPERTIES ; CLOUD-TYPE ; SATELLITE-OBSERVATIONS ; RADIATIVE PROPERTIES ; MIDLATITUDE CIRRUS ; ICE NUCLEATION ; WEATHER STATES ; PARAMETERIZATION ; CLIMATOLOGY ; PRODUCTS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; 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/21646 |
专题 | 地球科学 |
作者单位 | 1.Imperial Coll London, Space & Atmospher Phys Grp, London, England; 2.Univ Leipzig, Inst Meteorol, Leipzig, Germany; 3.Deutsch Wetterdienst, Hans Ertel Zentrum Wetterforsch, Offenbach, Germany; 4.Max Planck Inst Meteorol, Hamburg, Germany |
推荐引用方式 GB/T 7714 | Gryspeerdt, Edward,Quaas, Johannes,Goren, Tom,et al. An automated cirrus classification[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(9):6157-6169. |
APA | Gryspeerdt, Edward,Quaas, Johannes,Goren, Tom,Klocke, Daniel,&Brueck, Matthias.(2018).An automated cirrus classification.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(9),6157-6169. |
MLA | Gryspeerdt, Edward,et al."An automated cirrus classification".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.9(2018):6157-6169. |
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