Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018JD029772 |
Detection of Mixed-Phase Convective Clouds by a Binary Phase Information From the Passive Geostationary Instrument SEVIRI | |
Coopman, Q.1; Hoose, C.1; Stengel, M.2 | |
2019-05-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:9页码:5045-5057 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany |
英文摘要 | Between -37 and 0 degrees C, clouds are liquid, ice, or mixed phase. Nearly all retrieval algorithms for passive instruments provide binary phase informationice or liquidmaking it difficult to retrieve mixed-phase cloud properties. Based on measurements from the geostationary space-based instrument Spinning Enhanced Visible and InfraRed Imager (SEVIRI), we show that the retrieved ice crystal effective radius is smaller than the liquid droplet effective radius for 48% of 230 analyzed cloud thermodynamic phase transitionsphase transition from liquid to ice of rising convective cloudswhile ice crystals are expected to be larger than cloud droplets. We simulate mixed-phase cloud radiances with the numerical model Santa Barbara DISORT Atmospheric Radiative Transfer for which we compare simulated effective radius retrievals with observations. The phase retrieval algorithm from SEVIRI does not represent well mixed-phase clouds, and categorizing clouds by only ice and liquid is not enough to accurately represent mixed-phase cloud optical properties. We conclude that the mixed-phase nature of clouds explains that retrieved cloud droplet radii are larger than ice crystal radii directly before and after the phase transition. However, from a cloud tracking algorithm perspective, the variation of the effective radius enables the detection of mixed-phase convective clouds from binary phase information. |
英文关键词 | cloud tracking mixed-phase clouds satellite convective clouds |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000469175600012 |
WOS关键词 | RADIATIVE-TRANSFER MODEL ; SATELLITE ; RADIANCE ; ASSIMILATION ; TRACKING ; ICE ; VALIDATION ; ALGORITHM ; BEHAVIOR ; POLDER |
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/183296 |
专题 | 气候变化 |
作者单位 | 1.Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Karlsruhe, Germany; 2.Deutsch Wetterdienst DWD, Offenbach, Germany |
推荐引用方式 GB/T 7714 | Coopman, Q.,Hoose, C.,Stengel, M.. Detection of Mixed-Phase Convective Clouds by a Binary Phase Information From the Passive Geostationary Instrument SEVIRI[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(9):5045-5057. |
APA | Coopman, Q.,Hoose, C.,&Stengel, M..(2019).Detection of Mixed-Phase Convective Clouds by a Binary Phase Information From the Passive Geostationary Instrument SEVIRI.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(9),5045-5057. |
MLA | Coopman, Q.,et al."Detection of Mixed-Phase Convective Clouds by a Binary Phase Information From the Passive Geostationary Instrument SEVIRI".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.9(2019):5045-5057. |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论