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
By Alexander Khain, Andrei Pokrovsky, Mark Pinsky, A. Seifert, V. Phillips. 2004
446 citations recorded by the source corpus.
Subfields: Atmospheric Science, Earth-Surface Processes, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/c2e28995096b0da2e303d05da50c3fa014a5d062
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
- Hugh Morrison
- Jason A. Milbrandt
- William Cotton
- Daniel Rosenfeld
- V. Phillips
- Matthew R. Kumjian
- A. Seifert
In Earth-Surface Processes
- Alexander Khain
- A. Seifert
- Daniel Rosenfeld
- Hugh Morrison
- Andrei Pokrovsky
- V. Phillips
- Jason A. Milbrandt
- Klaus D. Beheng
In Global and Planetary Change
- Alexander Khain
- Hugh Morrison
- Jason A. Milbrandt
- Daniel Rosenfeld
- A. Seifert
- William Cotton
- V. Phillips
- Wojciech W. Grabowski
Citations in the corpus
- The dependence of aerosol effects on clouds and precipitation on cloud‐system organization, shear and stability (2008, methodology): “For example, Khain et al. [2008] found that increasing aerosol”
- Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests (2015, methodology): “…schemes, extending the methodology outlined byMorrison andGrabowski (2010), and would avoid the need to partition ice into predefined categories as is done in most mixed-phase bin schemes (e.g., Takahashi 1976; Reisin et al. 1996; Geresdi 1998; Khain et al. 2004; Lebo and Seinfeld 2011).”
- Aerosol impact on the dynamics and microphysics of deep convective clouds (2005, methodology): “Supplemental experiments (Khain et al. 2004) show that further increase of the model resolution does not influence the results significantly.”
- Effects of aerosol optical properties on deep convective clouds and radiative forcing (2008, background): “The time steps for diffusion growth and droplet nucleation is several times smaller than the dynamic time step, which are chosen to be equal to the time required for particles in the smallest nonempty bin to reach the next mass category during condensation or to be transferred to a neighboring mass ”
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, unknown): “Other work since the 1980s has incorporated ice microphysics into bin schemes (e.g., Hall, 1980), often following a category‐based approach similar to bulk schemes (e.g., Geresdi, 1998; Khain et al., 2004; Lebo & Seinfeld, 2011; Reisin et al., 1996).”
- Intercomparison of large‐eddy simulations of Arctic mixed‐phase clouds: Importance of ice size distribution assumptions (2014, unknown): “[2009] and Khairoutdinov and Randall [2003] Bin [Khain et al., 2004]”
- Polarimetric Radar Characteristics of Melting Hail. Part I: Theoretical Simulations Using Spectral Microphysical Modeling (2013, methodology): “The second model (model 2) is the 2D nonhydrostatic mixed-phase spectral bin Hebrew University of Jerusalem Cloud Model (HUCM; e.g., Khain et al. 2004, 2011).”
- Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations (2011, methodology): “Current models generally use bulk microphysics schemes (BMSs) to parameterize the effects of cloud microphysical processes, although detailed bin microphysics schemes are being increasingly used in research models (e.g., Khain et al. 2004).”
- Aerosol Indirect Effects on Tropical Convection Characteristics under Conditions of Radiative-Convective Equilibrium (2011, methodology): “Simulations of deep convective storms (e.g., Fridland et al. 2004; Khain et al. 2004, 2005; Zhang et al. 2005; van den Heever et al. 2006; Carrió et al. 2007; van den Heever and Cotton 2007; Storer et al. 2010) have demonstrated that not only do aerosols influence the microphysical properties of…”
- Spectral (Bin) microphysics coupled with a Mesoscale Model (MM5). Part I: Model description and first results (2005, methodology): “…with the highest vertical resolution closest to the ground surface. b. Model microphysics 1) SPECTRAL MICROPHYSICAL PACKAGE The coupling of MM5 to SBM originally used the original microphysical package contained within HUCM (Khain and Sednev 1996; Khain et al. 1996, 1999, 2000, 2001b, 2004).”
- Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015, methodology): “These procedures are broadly similar in both BM [Kogan, 1991; Khain et al., 2004a] andMMM schemes [Yin et al., 2000].”
- Aerosol Effects on Microstructure and Intensity of Tropical Cyclones (2012, result): “Sensitivity simulations of Hurricane Katrina to the impacts of pollution aerosols showed similar results (Khain et al. 2008b, 2010; Khain and Lynn 2011) using the Weather Research and Forecasting Model (WRF) with the implementation of a spectral bin microphysical (SBM) scheme (Khain et al. 2004).”
- Notes on state-of-the-art investigations of aerosol effects on precipitation: a critical review (2009, methodology): “In several studies (e.g., Khain et al 2003, 2004, 2005, 2008a, Kaufman et al 2005, Lynn et al 2005a, 2005b, 2007, Lynn and Khain 2007, Matsui et al 2006, Seifert and Beheng 2006, Tao et al 2007, Lee et al 2005, 2008) it was shown that aerosol effects on the precipitation amount depend on the…”