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云凝结核分析×谱格微物理方案×
领域气象学气象学
方法族Process / pipelineProcess / pipeline
起源年份19591999
提出者Twomey, WoodardKhain, Ovtchinnikov
类型Cloud microphysical measurementExplicit particle size distribution model
开创性文献Dusek, 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 ↗
别名CCN analysis, Cloud condensation nuclei, CCN measurementBin microphysics, Spectral microphysics, Explicit microphysics
相关33
摘要Cloud 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.
ScholarGate数据集
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  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Cloud Condensation Nuclei Analysis · Spectral Bin Microphysics. 于 2026-06-18 检索自 https://scholargate.app/zh/compare