How might a statistical cloud scheme be coupled to a mass-flux convection scheme?

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The coupling of statistical cloud schemes with mass-flux convection schemes is addressed. Source terms representing the impact of convection are derived within the framework of prognostic equations for the width and asymmetry of the probability distribution function of total water mixing ratio. The accuracy of these source terms is quantified by examining output from a cloud resolving model simulation of deep convection. Practical suggestions for inclusion of these source terms in large-scale models are offered.

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Klein, Stephen A.; Pincus, Robert; Hannay, Cecile & Xu, Kuan-man September 27, 2004.

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The coupling of statistical cloud schemes with mass-flux convection schemes is addressed. Source terms representing the impact of convection are derived within the framework of prognostic equations for the width and asymmetry of the probability distribution function of total water mixing ratio. The accuracy of these source terms is quantified by examining output from a cloud resolving model simulation of deep convection. Practical suggestions for inclusion of these source terms in large-scale models are offered.

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  • Report No.: DOE/ER/63562-2
  • Grant Number: AI02-03ER63562
  • Office of Scientific & Technical Information Report Number: 832725
  • Archival Resource Key: ark:/67531/metadc785535

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  • September 27, 2004

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  • Dec. 3, 2015, 9:30 a.m.

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  • Aug. 3, 2016, 3:58 p.m.

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Klein, Stephen A.; Pincus, Robert; Hannay, Cecile & Xu, Kuan-man. How might a statistical cloud scheme be coupled to a mass-flux convection scheme?, article, September 27, 2004; United States. (digital.library.unt.edu/ark:/67531/metadc785535/: accessed August 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.