Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-17-5973-2017 |
Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories | |
Liu, Yinghui1; Shupe, Matthew D.2,3; Wang, Zhien4; Mace, Gerald5 | |
2017-05-16 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2017 |
卷号 | 17期号:9 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Detailed and accurate vertical distributions of cloud properties (such as cloud fraction, cloud phase, and cloud water content) and their changes are essential to accurately calculate the surface radiative flux and to depict the mean climate state. Surface and space-based active sensors including radar and lidar are ideal to provide this information because of their superior capability to detect clouds and retrieve cloud microphysical properties. In this study, we compare the annual cycles of cloud property vertical distributions from space-based active sensors and surface-based active sensors at two Arctic atmospheric observatories, Barrow and Eureka. Based on the comparisons, we identify the sensors' respective strengths and limitations, and develop a blended cloud property vertical distribution by combining both sets of observations. Results show that surface-based observations offer a more complete cloud property vertical distribution from the surface up to 11 km above mean sea level (a.m.s.l.) with limitations in the middle and high altitudes; the annual mean total cloud fraction from space-based observations shows 25-40% fewer clouds below 0.5 km than from surface-based observations, and space-based observations also show much fewer ice clouds and mixed-phase clouds, and slightly more liquid clouds, from the surface to 1 km. In general, space-based observations show comparable cloud fractions between 1 and 2 km a.m.s.l., and larger cloud fractions above 2 km a.m.s.l. than from surface-based observations. A blended product combines the strengths of both products to provide a more reliable annual cycle of cloud property vertical distributions from the surface to 11 km a.m.s.l. This information can be valuable for deriving an accurate surface radiative budget in the Arctic and for cloud parameterization evaluation in weather and climate models. Cloud annual cycles show similar evolutions in total cloud fraction and ice cloud fraction, and lower liquid-containing cloud fraction at Eureka than at Barrow; the differences can be attributed to the generally colder and drier conditions at Eureka relative to Barrow. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000401432200001 |
WOS关键词 | A-TRAIN ; SEA-ICE ; CALIPSO ; AMPLIFICATION ; MISSION ; COVER ; OCEAN |
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/30796 |
专题 | 地球科学 |
作者单位 | 1.Univ Wisconsin, Cooperat Inst Meteorol Satellite Studies, Madison, WI 53706 USA; 2.Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA; 3.NOAA, Earth Syst Res Lab, Boulder, CO USA; 4.Univ Wyoming, Dept Atmospher Sci, Laramie, WY 82071 USA; 5.Univ Utah, Atmospher Sci, Salt Lake City, UT USA |
推荐引用方式 GB/T 7714 | Liu, Yinghui,Shupe, Matthew D.,Wang, Zhien,et al. Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(9). |
APA | Liu, Yinghui,Shupe, Matthew D.,Wang, Zhien,&Mace, Gerald.(2017).Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(9). |
MLA | Liu, Yinghui,et al."Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.9(2017). |
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