Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Mākoņu kondensācijas kodolu analīze× | Spektrālā nodalījumu mikrofizika× | |
|---|---|---|
| Nozare | Meteoroloģija | Meteoroloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1959 | 1999 |
| Autors≠ | Twomey, Woodard | Khain, Ovtchinnikov |
| Tips≠ | Cloud microphysical measurement | Explicit particle size distribution model |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi | CCN analysis, Cloud condensation nuclei, CCN measurement | Bin microphysics, Spectral microphysics, Explicit microphysics |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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. |
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