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contributor authorRossow, William B.
contributor authorZhang, Yuanchong
date accessioned2017-06-09T16:35:57Z
date available2017-06-09T16:35:57Z
date copyright2010/12/01
date issued2010
identifier issn0894-8755
identifier otherams-70682.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212490
description abstractA model of the three-dimensional distribution of clouds was developed from the statistics of cloud layer occurrence from the International Satellite Cloud Climatology Project (ISCCP) and the statistics of cloud vertical structure (CVS) from an analysis of radiosonde humidity profiles. The CVS model associates each cloud type, defined by cloud-top pressure of the topmost cloud layer and total column optical thickness, with a particular CVS. The advent of satellite cloud radar (CloudSat) and lidar [Cloud?Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO)] measurements (together C however, the agreement is not good when the uppermost cloud layer is a middle-level cloud, even when ISCCP correctly locates cloud top. An improved CVS model combining C&C and ISCCP may require classification at spatial scales larger than individual satellite pixels.
publisherAmerican Meteorological Society
titleEvaluation of a Statistical Model of Cloud Vertical Structure Using Combined CloudSat and CALIPSO Cloud Layer Profiles
typeJournal Paper
journal volume23
journal issue24
journal titleJournal of Climate
identifier doi10.1175/2010JCLI3734.1
journal fristpage6641
journal lastpage6653
treeJournal of Climate:;2010:;volume( 023 ):;issue: 024
contenttypeFulltext


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