CCPortal
DOI10.5194/acp-21-13811-2021
Ice and mixed-phase cloud statistics on the Antarctic Plateau
Cossich W.; Maestri T.; Magurno D.; Martinazzo M.; Di Natale G.; Palchetti L.; Bianchini G.; Del Guasta M.
发表日期2021
ISSN1680-7316
起始页码13811
结束页码13833
卷号21期号:18
英文摘要Statistics on the occurrence of clear skies, ice clouds, and mixed-phase clouds over Concordia Station, in the Antarctic Plateau, are provided for multiple timescales and analyzed in relation to simultaneous meteorological parameters measured at the surface. Results are obtained by applying a machine learning cloud identification and classification (CIC) code to 4 years of measurements between 2012-2015 of downwelling high-spectral-resolution radiances, measured by the Radiation Explorer in the Far Infrared-Prototype for Applications and Development (REFIR-PAD) spectroradiometer. The CIC algorithm is optimized for Antarctic sky conditions and results in a total hit rate of almost 0.98, where 1.0 is a perfect score, for the identification of the clear-sky, ice cloud, and mixed-phase cloud classes. Scene truth is provided by lidar measurements that are concurrent with REFIR-PAD. The CIC approach demonstrates the key role of far-infrared spectral measurements for clear-cloud discrimination and for cloud phase classification. Mean annual occurrences are 72.3%, 24.9%, and 2.7% for clear sky, ice clouds, and mixed-phase clouds, respectively, with an inter-annual variability of a few percent. The seasonal occurrence of clear sky shows a minimum in winter (66.8%) and maxima (75%-76%) during intermediate seasons. In winter the mean surface temperature is about 9 C colder in clear conditions than when ice clouds are present. Mixed-phase clouds are observed only in the warm season; in summer they amount to more than one-third of total observed clouds. Their occurrence is correlated with warmer surface temperatures. In the austral summer, the mean surface air temperature is about 5gC warmer when clouds are present than in clear-sky conditions. This difference is larger during the night than in daylight hours, likely due to increased solar warming. Monthly mean results are compared to cloud occurrence and fraction derived from gridded (Level 3) satellite products from both passive and active sensors. The differences observed among the considered products and the CIC results are analyzed in terms of footprint sizes and sensors' sensitivities to cloud optical and geometrical features. The comparison highlights the ability of the CIC-REFIR-PAD synergy to identify multiple cloud conditions and study their variability at different timescales. © 2021 William Cossich et al.
语种英语
scopus关键词algorithm; cloud classification; ice cover; identification method; infrared spectroscopy; machine learning; spectral resolution; statistical analysis; Antarctic Plateau; Antarctica; East Antarctica
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/246575
作者单位Physics and Astronomy Department, Alma Mater Studiorum, University of Bologna, Italy; Istituto Nazionale di Ottica, Consiglio Nazionale delle Ricerche, Italy
推荐引用方式
GB/T 7714
Cossich W.,Maestri T.,Magurno D.,et al. Ice and mixed-phase cloud statistics on the Antarctic Plateau[J],2021,21(18).
APA Cossich W..,Maestri T..,Magurno D..,Martinazzo M..,Di Natale G..,...&Del Guasta M..(2021).Ice and mixed-phase cloud statistics on the Antarctic Plateau.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(18).
MLA Cossich W.,et al."Ice and mixed-phase cloud statistics on the Antarctic Plateau".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.18(2021).
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
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Cossich W.]的文章
[Maestri T.]的文章
[Magurno D.]的文章
百度学术
百度学术中相似的文章
[Cossich W.]的文章
[Maestri T.]的文章
[Magurno D.]的文章
必应学术
必应学术中相似的文章
[Cossich W.]的文章
[Maestri T.]的文章
[Magurno D.]的文章
相关权益政策
暂无数据
收藏/分享

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。