방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 스펙트럼 빈 미세물리× | 구름 응결핵 분석× | |
|---|---|---|
| 분야 | 기상학 | 기상학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1999 | 1959 |
| 창시자≠ | Khain, Ovtchinnikov | Twomey, Woodard |
| 유형≠ | Explicit particle size distribution model | Cloud microphysical measurement |
| 원전≠ | 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 ↗ |
| 별칭 | Bin microphysics, Spectral microphysics, Explicit microphysics | CCN analysis, Cloud condensation nuclei, CCN measurement |
| 관련 | 3 | 3 |
| 요약≠ | 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. |
| ScholarGate데이터셋 ↗ |
|
|