The effects of giant cloud condensation nuclei on the development of precipitation in convective clouds — a numerical study
By Yan Yin, Z. Levin, T. Reisin, Shalva Tzivion. 2000
236 citations recorded by the source corpus.
Subfields: Atmospheric Science, Earth-Surface Processes, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/249602ad23981dc633d251fe41f6cb9039102283
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Alexander Khain
- Daniel Rosenfeld
- G. Feingold
- Andrei Pokrovsky
- V. Phillips
- H. Xue
- A. Seifert
- Hongli Jiang
In Earth-Surface Processes
- Alexander Khain
- Daniel Rosenfeld
- A. Seifert
- Andrei Pokrovsky
- G. Feingold
- Mark Pinsky
- H. Xue
- V. Phillips
In Global and Planetary Change
- Alexander Khain
- Daniel Rosenfeld
- A. Seifert
- Andrei Pokrovsky
- G. Feingold
- Mark Pinsky
- V. Phillips
- H. Xue
Citations in the corpus
- Linear relation between convective cloud drop number concentration and depth for rain initiation (2012, background): “An exception is rain initiation by giant cloud condensation nuclei (CCN) that form initial large drops that fall and grow by accretion of much smaller smaller drops [e.g. Feingold et al., 1999; Yin et al., 2000; Posselt and Lohmann, 2008].”
- Aerosol impact on the dynamics and microphysics of deep convective clouds (2005, background): “While in continental clouds vertical updraughts easily exceed 20–30 m s−1, only 5% of deep maritime clouds have the maximum updraught velocity exceeding 10 m s−1 (Zipser and LeMone 1980; Emanuel 1994).”
- Notes on the state-of-the-art numerical modeling of cloud microphysics (2000, background): “Ž .and r can be determined using 2.3 and 2.4 and the size distribution of newlyNcrit Žnucleated droplets can be calculated e.g., Flossman et al., 1985; Kogan, 1991; Wurzler .et al., 1995; Khain and Sednev, 1996; Yin et al., 2000 .”
- Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part I: Model description and possible applications (2004, background): “These models have several size distribution functions for different types of cloud ice (Takahashi 1976; Khain et al. 1996, 1999, 2000; Reisin et al. 1996a,b; Levin et al. 1998; Yin et al. 2000a,b; Rasmussen et al. 2002).”
- Aerosol cloud precipitation interactions. Part 1. The nature and sources of cloud-active aerosols (2008, background): “Their rapid growth also enables them to play an important role in precipitation formation under circumstances when high concentrations of pollutant CCN otherwise would suppress warm rain production, such as over polluted ocean regions (Feingold et al., 1999; Yin et al., 2000; Rosenfeld et al., 2002;”
- Aerosol effects on the lifetime of shallow cumulus (2006, methodology): “[4] TAU-2D, is the Tel Aviv University two-dimensional, non-hydrostatic, slab-symmetric cloud model [Yin et al., 2000] that has been widely applied to aerosol-cloud studies.”
- Microbiology and atmospheric processes: the role of biological particles in cloud physics (2007, unknown): “polluted clouds) than in clean clouds (Costa and Sherwood , 2005; Feingold et al. , 2005; Teller and Levin, 2006; Yin et al., 2000).”