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구름 응결핵 분석×스펙트럼 빈 미세물리×
분야기상학기상학
계열Process / pipelineProcess / pipeline
기원 연도19591999
창시자Twomey, WoodardKhain, Ovtchinnikov
유형Cloud microphysical measurementExplicit particle size distribution model
원전Dusek, 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 ↗
별칭CCN analysis, Cloud condensation nuclei, CCN measurementBin microphysics, Spectral microphysics, Explicit microphysics
관련33
요약Cloud 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.
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