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DOI10.5194/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
ISSN1680-7316
EISSN1680-7324
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
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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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