Notes on the state-of-the-art numerical modeling of cloud microphysics

By Alexander Khain, M. Ovtchinnikov, Mark Pinsky, Andrei Pokrovsky, H. Krugliak. 2000

372 citations recorded by the source corpus.

Subfields: Earth-Surface Processes, Global and Planetary Change, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/27851247e2c488106024a671d30cba724c0887ed

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In Earth-Surface Processes

In Global and Planetary Change

In Ocean Engineering

Citations in the corpus

The Non-hydrostatic Icosahedral Atmospheric Model: description and development (2014, methodology): “The other is the spectral bin method, which solves growth equations by discretizing the PSD with tens of bins covering these modes (Khain et al. 2000, 2008).”
Notes on state-of-the-art investigations of aerosol effects on precipitation: a critical review (2009, methodology): “Besides, the spectral bin microphysical schemes have their own technical problems, as described in detail by Khain et al (2000).”
Aerosol impact on the dynamics and microphysics of deep convective clouds (2005, methodology): “ Khain et al. (2000) describe in detail the procedure of the conversion of hydrometeor types as a result of different kinds of collisions.”
Spectral (Bin) microphysics coupled with a Mesoscale Model (MM5). Part I: Model description and first results (2005, methodology): “We use this empirical formula to calculate the initial size CCN distribution (see Mazin and Shmeter 1983 and Khain et al. 2000 for further details).”
A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 2: Maritime vs. continental deep convective storms (2006, background): “As discussed by Khain et al (2000) cloud models using detailed bin microphysics have various advantages in the representation of cloud processes.”
Global observations of aerosol‐cloud‐precipitation‐climate interactions (2014, methodology): “The most detailed and accurate type of model is the spectral bin microphysics model [e.g., Khain et al., 2000, 2004].”
A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 1: Model description (2006, background): “The relative time rate of change of the size distribution by heterogenous freezing is given by (cf. Khain et al, 2000 ) 1”
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, methodology): “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).”
Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015, methodology): “Such relations between the parameters were used in a bulk microphysics scheme by Thompson et al. [2004], who derived them from bin microphysics simulations.”
Implementation of a two‐moment bulk microphysics scheme to the WRF model to investigate aerosol‐cloud interaction (2008, background): “However, Khain et al. [2000] pointed out that if a realistic increase in vertical velocity with height above the cloud base is taken into account, supersaturation within the cloud updraft can exceed the local maximum at the cloud base.”