Assessment of Two Stochastic Cloud Subcolumn Generators Using Observed Fields of Vertically Resolved Cloud Extinction

dc.contributor.author	Lazaros Oreopoulos
dc.contributor.author	Nayeong Cho
dc.contributor.author	Dongmin Lee
dc.contributor.author	Matthew Lebsock
dc.contributor.author	Zhibo Zhang
dc.date.accessioned	2023-04-12T18:38:49Z
dc.date.available	2023-04-12T18:38:49Z
dc.date.copyright	2022/08/01
dc.date.issued	2022
dc.identifier.other	JTECH-D-21-0166.1.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4290016
dc.description.abstract	We evaluate two stochastic subcolumn generators used in GCMs to emulate subgrid cloud variability enabling comparisons with satellite observations and simulations of certain physical processes. Our evaluation necessitated the creation of a reference observational dataset that resolves horizontal and vertical cloud variability. The dataset combines two
dc.publisher	American Meteorological Society
dc.title	Assessment of Two Stochastic Cloud Subcolumn Generators Using Observed Fields of Vertically Resolved Cloud Extinction
dc.type	Journal Paper
dc.journal.volume	39
dc.journal.issue	8
dc.journal.title	Journal of Atmospheric and Oceanic Technology
dc.identifier.doi	10.1175/JTECH-D-21-0166.1
dc.journal.fristpage	1229
dc.journal.lastpage	1244
dc.page	1229–1244
dc.tree	Journal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 008
dc.contenttype	Fulltext