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Analyse des noyaux de condensation nuageuse×Microphysique spectrale par classes×
DomaineMétéorologieMétéorologie
FamilleProcess / pipelineProcess / pipeline
Année d'origine19591999
Auteur d'origineTwomey, WoodardKhain, Ovtchinnikov
TypeCloud microphysical measurementExplicit particle size distribution model
Source fondatriceDusek, U., Frank, G. P., Hildebrandt, L., et al. (2006). Size matters more than chemistry for cloud-nucleating ability of aerosol particles. Science, 312(5778), 1375-1378. DOI ↗Khain, A. P., Ovtchinnikov, M., Pinsky, M., Pokrovsky, A., & Krugliak, H. (2000). Notes on the state-of-the-art numerical modeling of cloud microphysics. Atmospheric Research, 55(3–4), 159-224. DOI ↗
AliasCCN analysis, Cloud condensation nuclei, CCN measurementBin microphysics, Spectral microphysics, Explicit microphysics
Apparentées33
RésuméCloud condensation nuclei (CCN) analysis examines the number and properties of aerosol particles capable of nucleating cloud droplets at various supersaturation levels. This field involves measuring CCN concentrations, characterizing their chemical composition and size, and relating aerosol properties to cloud microphysical processes.Spectral bin microphysics is a detailed cloud microphysical modeling approach that explicitly represents the particle size distribution (PSD) by dividing particles into discrete size bins. Rather than assuming a fixed shape for the PSD, bin models track the number and mass of particles in each size category, allowing detailed simulation of cloud and precipitation processes.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Cloud Condensation Nuclei Analysis · Spectral Bin Microphysics. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare