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谱格微物理方案×云凝结核分析×
领域气象学气象学
方法族Process / pipelineProcess / pipeline
起源年份19991959
提出者Khain, OvtchinnikovTwomey, Woodard
类型Explicit particle size distribution modelCloud microphysical measurement
开创性文献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 ↗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 ↗
别名Bin microphysics, Spectral microphysics, Explicit microphysicsCCN analysis, Cloud condensation nuclei, CCN measurement
相关33
摘要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.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.
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: Spectral Bin Microphysics · Cloud Condensation Nuclei Analysis. 于 2026-06-18 检索自 https://scholargate.app/zh/compare