Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection

By Bjorn Stevens, A. Seifert. 2008

172 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/051b0b2960510eb6f39e48a58aef1a8c0300fbb4

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

In Global and Planetary Change

Citations in the corpus

Mechanisms of marine low cloud sensitivity to idealized climate perturbations: A single‐LES exploration extending the CGILS cases (2013, background): “[7] For case S6, we will also consider a cloud-droplet concentration perturbation to illustrate the role of precipitation in controlling trade-cumulus boundary-layer depth [e.g., Albrecht, 1993; Stevens and Seifert, 2008] and thereby affecting cloud feedbacks.”
On the Factors Modulating the Stratocumulus to Cumulus Transitions (2011, methodology): “Large-eddy simulation (LES) is used to explore the role of various processes in regulating the stratocumulus to cumulus transition (SCT).”
Notes on state-of-the-art investigations of aerosol effects on precipitation: a critical review (2009, background): “Let us 1 Wood (2007) and Stevens and Seifert (2008) investigated the dynamical feedback of aerosols on the depth of stratocumulus and small cumulus clouds.”
Large‐eddy simulation of the transient and near‐equilibrium behavior of precipitating shallow convection (2015, unknown): “The dominant response of cloud layers to larger N and a suppression of rain formation is to grow deeper [Stevens and Seifert, 2008; Blossey et al., 2013; Bretherton et al., 2013].”
Marine Boundary Layer Cloud Feedbacks in a Constant Relative Humidity Atmosphere (2012, background): “…wind cumulus case, but the behavior of large-eddy simulation has been extensively studied for this case (vanZanten et al. 2011; Matheou et al. 2011; Stevens and Seifert 2008) and it lends itself well to extensions that consider the role of precipitation, which for reasons of simplicity we neglect…”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “…been shown to be sensitive to the representation of collision‐coalescence and breakup for some cases, via its influence on mean raindrop size (e.g., Stevens & Seifert, 2008) and hence bulk evaporation rates and cold pool characteristics (Morrison et al., 2012; Morrison & Milbrandt, 2011; Planche…”
Controls on precipitation and cloudiness in simulations of trade‐wind cumulus as observed during RICO (2011, methodology): “The signal is weak, but it is evident across the microphysical model hierarchy, and echoes the results of Stevens and Seifert (2008) where one model was used and the precipitation efficiency in that model was varied.”
The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives (2015, methodology): “The two-moment cloud microphysics scheme has been used within the framework of the HD(CP) 21 project to produce LES simulation data for the evaluation and benchmarking of ICON-LES (Dipankar et al., 2015).”
Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications (2010, background): “…terminal velocity in function of the drop radius, the flux of the rain number concentration and the flux of the rain water specific humidity are (Stevens and Seifert, 2008): F serNr = ( a−b(1+c/λr) µr+1 ) Ñr, (74) F serqr = ( a−b(1+c/λr) µr+4 ) q̃r, (75) with a = 9.65 m s−1, b=9.8 m s−1, c =…”