2001
DOI: 10.1016/s0169-8095(01)00126-0
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A double-moment parameterization for simulating autoconversion, accretion and selfcollection

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Cited by 391 publications
(407 citation statements)
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“…The usage of such relations may induce inconsistencies between cloud mass and droplet number in a model, and double moment schemes describing the evolution of the droplet number are more appropriate for online models. Coupling a two-moment cloud scheme (Lin et al, 1983;Ghan et al, 1997;Meyers et al 1997;Seifert and Beheng, 2001;Morrison et al, 2005;Morrison and Gettleman, 2008) with prognostic aerosols opens the possibility of more detailed size and composition dependent aerosol activation for both number and mass (Abdul-Razzak and Ghan, 2002). Cloud droplet number concentration may be calculated based on a prognostic representation of aerosol size and chemical composition within the framework of an ascending adiabatic cloud parcel (Nenes and Seinfeld, 2003;Fountoukis and Nenes, 2005).…”
Section: Aerosol-cloud Interactions In Online Models With Prognostic mentioning
confidence: 99%
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“…The usage of such relations may induce inconsistencies between cloud mass and droplet number in a model, and double moment schemes describing the evolution of the droplet number are more appropriate for online models. Coupling a two-moment cloud scheme (Lin et al, 1983;Ghan et al, 1997;Meyers et al 1997;Seifert and Beheng, 2001;Morrison et al, 2005;Morrison and Gettleman, 2008) with prognostic aerosols opens the possibility of more detailed size and composition dependent aerosol activation for both number and mass (Abdul-Razzak and Ghan, 2002). Cloud droplet number concentration may be calculated based on a prognostic representation of aerosol size and chemical composition within the framework of an ascending adiabatic cloud parcel (Nenes and Seinfeld, 2003;Fountoukis and Nenes, 2005).…”
Section: Aerosol-cloud Interactions In Online Models With Prognostic mentioning
confidence: 99%
“…Another advantage of coupling two moment cloud schemes with prognostic aerosols is a more physically detailed approach to autoconversion (Khairoutdinov and Kogan, 2000;Liu et al, 2005). The most widely used approach is to assume specific size distributions for cloud droplets and rain drops (Seifert and Beheng, 2001).…”
Section: Aerosol-cloud Interactions In Online Models With Prognostic mentioning
confidence: 99%
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“…Processes in the warm (liquid) phase considered by this scheme include the nucleation of cloud droplets, autoconversion of cloud droplets to form rain, accretion, and self-collection of rain droplets. The formulations have been derived by Seifert and Beheng (2001) from the theoretical formulation of Beheng and Doms (1986). However, the radiation scheme does not yet make use of the additional information about cloud particle sizes provided by the two-moment microphysics.…”
Section: The Cosmo-muscat Model and Revised Cloud Activationmentioning
confidence: 99%
“…Cloud formation and decay is controlled by a Lin-type 30 one moment bulk microphysics scheme which includes all the prognostic microphysical species (Lin et al, 1983;Seifert and Beheng, 2001). The turbulent parametrization is based on a TKE equation with a closure at level 2.5, according to Raschendorfer (2001).…”
mentioning
confidence: 99%