On the Parameterization of Evaporation of Raindrops as Simulated by a One-Dimensional Rainshaft Model

By A. Seifert. 2008

136 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/50c45f2fc1a4065149727c62402f2f97024af614

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Citations in the corpus

Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection (2008, methodology): “Here motivated by ongoing work examining evaporation (Seifert 2008), and the recent study of Milbrandt and Yau (2005), the formulation is generalized to allow µ > 0.”
Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities (2011, methodology): “This is most likely due to a better representation of the cold pool formation by predicting the mean raindrops size which allows a more accurate treatment of evaporation of rain (Seifert 2008; Morrison et al. 2009).”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, methodology): “…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 et al.,…”
Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests (2015, background): “Here gr is set to 0.5, which is in the middle range of values from the parameterization of Seifert (2008).”
Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications (2010, methodology): “The conversion rates that impact rain formation and evolution are parametrized according to KK00 or according to SB01, Seifert and Beheng(2006, hereafter SB06), andSeifert (2008) (hereafter S08).”
Large‐eddy simulations over Germany using ICON: a comprehensive evaluation (2017, methodology): “The warm-rain part of the scheme is based on Seifert and Beheng (2001), with modifications following Seifert (2008).”
Aerosol-cloud-precipitation effects over Germany as simulated by a convective-scale numerical weather prediction model (2011, background): “The raindrop size distribution is a Gamma distribution with a shape parameter depending on mean diameter (Seifert, 2005, 2008), and all warm rain processes as, e.g. autoconversion, accretion, etc., are parameterized as inSeifert(2008) based onSeifert and Beheng (2001).”
The Non-hydrostatic Icosahedral Atmospheric Model: description and development (2014, methodology): “The triple-moment bulk method, which was recently developed and used (Milbrandt and Yau 2005a, b; Seifert 2008; Shipway and Hill 2012), predicts or diagnoses the radar reflectivity factor in addition to the aforementioned two moments and is applied to the regional simulations of severe storms…”
The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives (2015, methodology): “(69) The increase of the autoconversion rate due to turbulence can be considered optionally by an increased autoconversion kernel depending on the local kinetic energy dissipation rate after Seifert et al. (2010). 20”
Comparison of Evaporation and Cold Pool Development between Single-Moment and Multimoment Bulk Microphysics Schemes in Idealized Simulations of Tornadic Thunderstorms (2010, background): “This DM closure assumption for the rate of decrease in Nt is still not entirely correct, however, since it implies that the mean-mass drop diameter does not change due to evaporation, and thus overestimates the rate of decrease in Nt (Seifert 2008).”
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): “Recent work has demonstrated the important of the size distribution shape parameter on rain evaporation (Seifert 2008).”
Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations (2011, methodology): “MOR-BASE Baseline run (MOR) MOR-GRPL Parameters of the single rime ice category representative of medium-density graupel in MOR MOR-BASE-V Same as MOR-BASE except for MY V–D parameters for rain and hail MOR-GRPL-V Same as MOR-GRPL except for MY V–D parameters for rain MOR-HV Same as MOR-BASE except ”