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contributor authorAkyurek, Bengu Ozge;Kleissl, Jan
date accessioned2018-01-03T11:02:32Z
date available2018-01-03T11:02:32Z
date copyright5/18/2017 12:00:00 AM
date issued2017
identifier otherjas-d-16-0303.1.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246459
description abstractAbstractStratocumulus clouds play an important role in climate cooling and are hard to predict using global climate and weather forecast models. Thus, previous studies in the literature use observations and numerical simulation tools, such as large-eddy simulation (LES), to solve the governing equations for the evolution of stratocumulus clouds. In contrast to the previous works, this work provides an analytic closed-form solution to the cloud thickness evolution of stratocumulus clouds in a mixed-layer model framework. With a focus on application over coastal lands, the diurnal cycle of cloud thickness and whether or not clouds dissipate are of particular interest. An analytic solution enables the sensitivity analysis of implicitly interdependent variables and extrema analysis of cloud variables that are hard to achieve using numerical solutions. In this work, the sensitivity of inversion height, cloud-base height, and cloud thickness with respect to initial and boundary conditions, such as Bowen ratio, subsidence, surface temperature, and initial inversion height, are studied. A critical initial cloud thickness value that can be dissipated pre- and postsunrise is provided. Furthermore, an extrema analysis is provided to obtain the minima and maxima of the inversion height and cloud thickness within 24 h. The proposed solution is validated against LES results under the same initial and boundary conditions.
publisherAmerican Meteorological Society
titleClosed-Form Analytic Solution of Cloud Dissipation for a Mixed-Layer Model
typeJournal Paper
journal volume74
journal issue8
journal titleJournal of the Atmospheric Sciences
identifier doi10.1175/JAS-D-16-0303.1
journal fristpage2525
journal lastpage2556
treeJournal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 008
contenttypeFulltext


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