A New Cloud Physics Parameterization in a Large-Eddy Simulation Model of Marine Stratocumulus

By M. Khairoutdinov, Y. Kogan. 2000

847 citations recorded by the source corpus.

Subfields: Atmospheric Science, Earth-Surface Processes, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/d8e1403d98754f4d733696d616268ccc748eb4f1

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Citations in the corpus

Global model simulations of the impact of ocean-going ships on aerosols, clouds, and the radiation budget (2007, methodology): “The precipitation formation efficiency is linked to the calculated cloud droplet number concentration applying the formulation of Khairoutdinov and Kogan(2000).”
Modeling Supersaturation and Subgrid-Scale Mixing with Two-Moment Bulk Warm Microphysics (2008, methodology): “We note that both Khairoutdinov and Kogan (2000) and MG07 found little sensitivity in the number of droplets activated to the specified initial size of the droplets, for values between about 1 and 3 m. Similarly, our neglect of gas kinetic effects may also produce uncertainty in the number of…”
Cloud microphysics and aerosol indirect effects in the global climate model ECHAM5-HAM (2007, methodology): “Here we use the autoconversion rate Q aut [kg kg −1 s −1 ] developed by (Khairoutdinov and Kogan, 2000 ): Q aut = 1350 × q 2.47 l N −1.79 l (3) where q l is the cloud liquid water mass mixing ratio in kg kg −1 and N l is the cloud droplet number concentration in cm −3 .”
Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection (2008, methodology): “…sense our work strives to fill the gap between the proliferation of papers devoted to the development of simplified models (Feingold et al. 1994; Khairoutdinov and Kogan 2000; Seifert and Beheng 2001; Morrisson and Grabowski 2007, among others), and the use of large-eddy simulation to study…”
Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part I: Description and Sensitivity Analysis (2004, methodology): “Also in the future, we plan to test a scheme proposed by Khairoutdinov and Kogan (2000) with more sophisticated treatment for converting cloud water to rain.”
Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes (2009, background): “Several two-moment schemes have been developed and utilized in a variety of applications (e.g., Koenig and Murray 1976; Ferrier 1994; Meyers et al. 1997; Khairoutdinov and Kogan 2000; Seifert and Beheng 2001; Milbrandt and Yau 2005; Morrison et al. (2005, hereafter MCK).”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, methodology): “…and test bulk schemes for weather and climate models (e.g., Berry & Reinhardt, 1974d; Chen & Liu, 2004; Fan et al., 2012; Feingold et al., 1998; Khairoutdinov & Kogan, 2000; Kogan, 2013; Kogan & Belochitski, 2012; Lebo et al., 2012; Morrison & Grabowski, 2007; Shipway & Hill, 2012; Seifert,…”
Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF (2011, methodology): “The accelerating increase in cloud fraction for thick clouds with increasing LWP may partly result from the autoconversion scheme used in the models, which is based on Khairoutdinov and Kogan (2000).”
Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization (2015, methodology): “Three different parameterizations for the coalescence process were tested: B1994 [Beheng, 1994], SB2001 [Seifert and Beheng, 2001], and KK2000 [Khairoutdinov and Kogan, 2000].”
Drizzle in Stratiform Boundary Layer Clouds. Part II: Microphysical Aspects. (2005, methodology): “(3) Our value of rnew differs from that in Khairoutdinov and Kogan (2000) who suggest rnew = 25 µm, which leads to a 30% smaller rate.”
A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, version 3 (CAM3). Part I: Description and numerical tests (2008, methodology): “(32) and (35) in Khairoutdinov and Kogan (2000).”
On the Parameterization of Evaporation of Raindrops as Simulated by a One-Dimensional Rainshaft Model (2008, background): “Khairoutdinov and Kogan (2000), Milbrandt and Yau (2005b), and Morrison and Grabowski (2007) assume that 1; that is, that the mean volume diameter does not change during evaporation.”
Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications (2010, background): “InKhairoutdinov and Kogan(2000) scheme, the limit between the cloud category and the rain category is set at the radius value of 25 μm which permits consideration of drizzle in the precipitating category, which can have significant impact on the evolution of the boundary layer.”
Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data (2009, methodology): “The droplet activation is parameterised following the empirical formulation by Lin and Leaitch (1997), and the autoconversion parameterisation is from Khairoutdinov and Kogan (2000). www.atmos-chem-phys.net/9/8697/2009/ Atmos.”
Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests (2015, methodology): “For the tests here and in Part II, we use Khairoutdinov and Kogan (2000) for cloud water autoconversion and accretion. d. Raindrop self-collection and breakup Self-collection of rain is given by Beheng (1994).”