方法对比
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| 谱格微物理方案× | 科勒理论× | WRF模型× | |
|---|---|---|---|
| 领域 | 气象学 | 气象学 | 气象学 |
| 方法族 | Process / pipeline | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1999 | 1936 | 2000 |
| 提出者≠ | Khain, Ovtchinnikov | Hilding Kohler | Skamarock and Klemp |
| 类型≠ | Explicit particle size distribution model | Thermodynamic equilibrium framework | Atmospheric simulation system |
| 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 ↗ | Köhler, H. (1936). The nucleus in and the growth of hygroscopic droplets. Transactions of the Faraday Society, 32, 1152-1161. DOI ↗ | Skamarock, W. C., Klemp, J. B., Dudhia, J., et al. (2008). A Description of the Advanced Research WRF Version 3. NCAR Technical Note NCAR/TN-475+STR. link ↗ |
| 别名≠ | Bin microphysics, Spectral microphysics, Explicit microphysics | Kohler theory, Kohler equilibrium, Cloud droplet nucleation | Weather Research and Forecasting, WRF, ARW, NMM |
| 相关≠ | 3 | 3 | 4 |
| 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. | Köhler theory is a foundational framework in cloud microphysics that predicts the equilibrium supersaturation required for an aerosol particle of given size and composition to grow into a cloud droplet. Published in 1936 by Hilding Köhler, it combines the Kelvin effect (vapor pressure enhancement over curved surfaces) with the Raoult effect (vapor pressure depression from dissolved solute) to explain cloud droplet formation. | The Weather Research and Forecasting (WRF) model is a mesoscale atmospheric simulation system used for weather forecasting, research, and climate applications. Developed cooperatively by NCAR, NOAA, and academic institutions, WRF became operational in 2004 and has become one of the most widely used atmospheric models worldwide. |
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