A refined statistical cloud closure using double-Gaussian probability density functions

A refined statistical cloud closure using double-Gaussian probability density functions

We introduce a probability density function (PDF)-based scheme to parameterize cloud fraction, average liquid water and liquid water flux in large-scale models, that is developed from and tested against large-eddy simulations and observational data. Because the tails of the PDFs are crucial for an a...

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Bibliographic Details
Main Authors:	A. K. Naumann, A. Seifert, J. P. Mellado
Format:	Article
Language:	English
Published:	Copernicus Publications 2013-10-01
Series:	Geoscientific Model Development
Online Access:	http://www.geosci-model-dev.net/6/1641/2013/gmd-6-1641-2013.pdf

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