A Large Eddy Simulation Intercomparison Study of Shallow Cumulus Convection

By P. Siebesma, Christopher, Bretherton, Andrew Brown, A. Chlond, Joan Cuxart, Peter, Duynkerke, Hongli Jiang, M. Khairoutdinov and 5 more. 2003

752 citations recorded by the source corpus.

Subfields: Atmospheric Science, Earth-Surface Processes, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/1bd834c99e7bfd4709c5e9d186804b0dc3ba92a6

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Citations in the corpus

Effect of aerosol on warm convective clouds: Aerosol‐cloud‐surface flux feedbacks in a new coupled large eddy model (2006, methodology): “[8] Warm cloud processes including activation, condensation/evaporation, collision-coalescence, regeneration of particles upon complete evaporation of drops, and sedimentation are solved using the method of moments based on Tzivion et al. [1987]. Drop mass, drop number, as well as aerosol mass are a”
The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3 (2011, methodology): “Coefﬁcients a k and b k for calculation of interface pressures using p 5 a k 1 b k 3 p s , where p is pressure and p s is surface pressure (Simmons and Burridge 1981).”
A Parameterization of Dry Thermals and Shallow Cumuli for Mesoscale Numerical Weather Prediction (2009, methodology): “Using the definition of mass flux, Soares et al. (2004) and Siebesma et al. (2007) computed the mass flux in the dry portion of their updraft directly from the vertical velocity obtained from Eq.”
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations (2017, methodology): “For example, the turbulent dynamics (though currently not the microphysics) of clouds can be computed with high fidelity in limited domains in largeeddy simulations (LES) with grid spacings of O(10 m) [Siebesma et al., 2003; Stevens et al., 2005; Khairoutdinov et al., 2009; Matheou and Chung, 2014; ”
Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection (2008, methodology): “Following previous cumulus studies (cf., Siebesma et al. 2003) the cloud core denotes a conditional average over cloudy buoyant air.”
A Cumulus Parameterization with State-Dependent Entrainment Rate. Part I: Description and Sensitivity to Temperature and Humidity Profiles (2010, background): “A large number of trade cumulus experiments with large-eddy simulations (LESs) reproduced the same profile (Siebesma and Cuijpers 1995; Grant and Brown 1999; Siebesma et al. 2003).”
The Tropical Subseasonal Variability Simulated in the NASA GISS General Circulation Model (2012, background): “Within the boundary layer the threshold relative humidity is based on an assumed Gaussian distribution of saturation deficit, as in Siebesma et al. (2003), and stratiform clouds do not form in subsaturated air below cloud top in the convective portion of the grid box or below the cloud base of a…”
ATMOSPHERIC MOIST CONVECTION (2005, neutral): “Such relationships are evident both in observations and simulations (Nicholls & LeMone 1980, Stevens et al. 2001, Siebesma et al. 2003).”
Large-Eddy Simulations of Trade Wind Cumuli: Investigation of Aerosol Indirect Effects (2006, methodology): “1; an average of 22 and 23 June 1969 soundings) are the same as those prescribed in the fourth intercomparison study of the Global Water and Energy Experiment (GEWEX) Cloud System Studies (GCSS) Working Group 1 (Siebesma et al. 2003).”
Nested Mesoscale Large-Eddy Simulations with WRF: Performance in Real Test Cases (2012, background): “…with multiscale simulations include 1) the dynamics of convection in the atmospheric boundary layer (ABL) and convective clouds and rainfall (Siebesma et al. 2003; Moeng et al. 1996; Bryan et al. 2008; Stevens and Bretherton 1999), 2) the impact of urban areas on the microclimate (Oke 1988)…”
A Combined Eddy-Diffusivity Mass-Flux Approach for the Convective Boundary Layer (2007, background): “Soares et al. (2004) essentially use a combination of the present formulation (16) combined with a typical constant value above cloud base that is diagnosed from LES studies for shallow cumulus convection (Brown et al. 2002; Siebesma et al. 2003).”
Controls on precipitation and cloudiness in simulations of trade‐wind cumulus as observed during RICO (2011, methodology): “0.01 g kg 21 and positively buoyant) criteria used in previous studies (Siebesma et al., 2003).”