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Parameterizing the Competition Between Homogeneous and Heterogeneous Freezing in Ice Cloud Formation – Polydisperse Ice Nuclei : Volume 9, Issue 16 (19/08/2009)

By Barahona, D.

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Book Id: WPLBN0003995010
Format Type: PDF Article :
File Size: Pages 16
Reproduction Date: 2015

Title: Parameterizing the Competition Between Homogeneous and Heterogeneous Freezing in Ice Cloud Formation – Polydisperse Ice Nuclei : Volume 9, Issue 16 (19/08/2009)  
Author: Barahona, D.
Volume: Vol. 9, Issue 16
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Nenes, A., & Barahona, D. (2009). Parameterizing the Competition Between Homogeneous and Heterogeneous Freezing in Ice Cloud Formation – Polydisperse Ice Nuclei : Volume 9, Issue 16 (19/08/2009). Retrieved from

Description: School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, USA. This study presents a comprehensive ice cloud formation parameterization that computes the ice crystal number, size distribution, and maximum supersaturation from precursor aerosol and ice nuclei. The parameterization provides an analytical solution of the cloud parcel model equations and accounts for the competition effects between homogeneous and heterogeneous freezing, and, between heterogeneous freezing in different modes. The diversity of heterogeneous nuclei is described through a nucleation spectrum function which is allowed to follow any form (i.e., derived from classical nucleation theory or from observations). The parameterization reproduces the predictions of a detailed numerical parcel model over a wide range of conditions, and several expressions for the nucleation spectrum. The average error in ice crystal number concentration was −2.0±8.5% for conditions of pure heterogeneous freezing, and, 4.7±21% when both homogeneous and heterogeneous freezing were active. The formulation presented is fast and free from requirements of numerical integration.

Parameterizing the competition between homogeneous and heterogeneous freezing in ice cloud formation – polydisperse ice nuclei

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