ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Mākoņu kondensācijas kodolu analīze×Spektrālā nodalījumu mikrofizika×Modelis WRF×
NozareMeteoroloģijaMeteoroloģijaMeteoroloģija
SaimeProcess / pipelineProcess / pipelineProcess / pipeline
Izcelsmes gads195919992000
AutorsTwomey, WoodardKhain, OvtchinnikovSkamarock and Klemp
TipsCloud microphysical measurementExplicit particle size distribution modelAtmospheric simulation system
PirmavotsDusek, 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 ↗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 ↗
Citi nosaukumiCCN analysis, Cloud condensation nuclei, CCN measurementBin microphysics, Spectral microphysics, Explicit microphysicsWeather Research and Forecasting, WRF, ARW, NMM
Saistītās334
KopsavilkumsCloud 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.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.
ScholarGateDatu kopa
  1. v1
  2. 2 Avoti
  3. PUBLISHED
  1. v1
  2. 2 Avoti
  3. PUBLISHED
  1. v1
  2. 2 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Cloud Condensation Nuclei Analysis · Spectral Bin Microphysics · WRF Model. Izgūts 2026-06-19 no https://scholargate.app/lv/compare