Remote Sensing Applications and Decision Support

Observation of clouds macrophysical characteristics in China by CALIPSO

[+] Author Affiliations
Zengxin Pan, Wei Wang, Jie Yang

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China

Feiyue Mao

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China

Wuhan University, School of Remote Sensing and Information Engineering, Wuhan 430079, China

Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, China

Wei Gong

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan 430079, China

Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, China

Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Wuhan 430068, China

J. Appl. Remote Sens. 10(3), 036028 (Sep 22, 2016). doi:10.1117/1.JRS.10.036028
History: Received April 6, 2016; Accepted September 2, 2016
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Abstract.  Clouds’ macrophysical characteristics play an important role in the climate system and dramatically vary because of the diverse climatic and geographic factors in China. We analyze cloud macrophysical characteristics and the differences between subregions in China (18°–54°N, 73°–135°E) from March 2012 to February 2015 based on Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations, including cloud fractions, cloud vertical distribution, and cloud geometrical properties with the perspective of daytime and nighttime. We found that annual single layer, multilayer (ML), and total cloud fractions are 40.4±1.1%, 22.4±0.4%, and 62.8±1.5%, respectively, and clouds are generally located between 6 and 12 km. The cloud fractions in daytime are less than that in nighttime over the south while that of Tibet shows the reverse trend. In the vertical direction, except for Tibet, the clouds in nighttime have larger spatial coverage and are higher in altitude than that in daytime. The regional average values of cloud macrophysical characteristics in the south are highest, followed successively by Tibet, north, and northwest. Cloud geometrical depth and spacing show a gradually declining trend with the increase in layers and decrease of altitude in ML cloud system.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Zengxin Pan ; Feiyue Mao ; Wei Gong ; Wei Wang and Jie Yang
"Observation of clouds macrophysical characteristics in China by CALIPSO", J. Appl. Remote Sens. 10(3), 036028 (Sep 22, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.036028


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