The role of CCN in precipitation and hail in a mid-latitude storm as seen in simulations using a spectral (bin) microphysics model in a 2D dynamic frame

By Alexander Khain, Daniel Rosenfeld, Andrei Pokrovsky, U. Blahak, Alexander V. Ryzhkov. 2011

140 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/fc4602962ee01deac0a013aa781246fe2ab02edd

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

1. Alexander Khain
2. William Cotton
3. Daniel Rosenfeld
4. Matthew R. Kumjian
5. S. C. Heever
6. V. Phillips
7. Hugh Morrison
8. M. Andreae

In Global and Planetary Change

1. Alexander Khain
2. Daniel Rosenfeld
3. William Cotton
4. V. Phillips
5. S. C. Heever
6. Hugh Morrison
7. Matthew R. Kumjian
8. Mark Pinsky

Citations in the corpus

• Understanding Hail in the Earth System (2020, background): “In these simulations a greater number of supercooled droplets are available for deposition and riming, leading to increased hail growth as CCN availability increases, in contrast to the more commonly accepted role of liquid water content (Khain et al., 2011; Noppel et al., 2010; Yang et al., 2011).”
• Review of Aerosol–Cloud Interactions: Mechanisms, Significance, and Challenges (2016, background): “Glaciation in clouds affected by dust and polluted aerosols was observed to occur at relatively high temperatures near2208Cbased on satellite measurements (Rosenfeld et al. 2011, 2014a).”
• Aerosol Effects on Microstructure and Intensity of Tropical Cyclones (2012, methodology): “…Bl in the case of (top) no sea spray and (bottom) intense spray production. note the greater amount of rain and cloud development in the case of spray. the cloud is simulated using the Hebrew University Cloud Model (HUCM) with grid spacing of 50 m [see khain et al. (2011) for model description].”
• Polarimetric Radar Characteristics of Melting Hail. Part I: Theoretical Simulations Using Spectral Microphysical Modeling (2013, methodology): “This is attributed to the fact that theHUCMmore adequately treats size sorting of raindrops and melting hailstones in the proximity of convective updrafts than does the simplified model 1, which does not explicitly address size sorting.”
• Global observations of aerosol‐cloud‐precipitation‐climate interactions (2014, methodology): “This process of invigoration and enhanced hail has been simulated by spectral bin models, whereas bulk models produce the opposite effects [Khain et al., 2011; Morrison, 2012; Fan et al., 2012a].”
• Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015, methodology): “As follows from numerical simulations using SBM models, the local PSDs (at spatial scales of a few hundred meters) of aggregates, graupel, and hail can be close to gamma (exponential)- type, bimodal, or of a more complicated shape [Khain et al., 2011; Phillips et al., 2015].”