Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes

By Hugh Morrison, Gregory Thompson, V. Tatarskii. 2009

2,126 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0f93c2bbf97ccfb9bbf3b4a354c1504d3b59cf86

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Citations in the corpus

A Numerical Investigation of the Effects of Dry Air Aloft on Deep Convection (2009, methodology): “Further modeling efforts should be directed toward the detailed assessment of more sophisticated microphysics schemes, including those that predict the number concentrations as well as the mass mixing ratios of hydrometeor species (e.g., Dawson et al. 2008; Morrison et al. 2009).”
Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities (2011, background): “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).”
Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations (2011, background): “…schemes has become increasingly common for the simulation of organized deep convection using convective-scale models (Ferrier et al. 1995; Meyers et al. 1997; Milbrandt and Yau 2006, hereafter MY06; Morrison et al. 2009, hereafter MTT09; Luo et al. 2010; Dawson et al. 2010, hereafter D10).”
A Comparison of TWP-ICE Observational Data with Cloud-Resolving Model Results (2012, background): “…can be attributed also to microphysics schemes (see 2–4 above), consistent with past CRM studies [e.g., Wu et al., 1999; Grabowski et al., 1999; Redelsperger et al., 2000; Xu et al., 2002; Xie et al., 2005; Morrison et al., 2009; Fan et al., 2010b; Luo et al., 2010; Bryan and Morrison, 2012].”
Evaluation of the WRF Double-Moment 6-Class Microphysics Scheme for Precipitating Convection (2010, background): “This simplicity is theoretically based on the fact that the prediction of ice-phase number concentrations has significantly less impact on the results than the prediction of warm-phase concentrations in deep convective cases [22].”
The Maximum Intensity of Tropical Cyclones in Axisymmetric Numerical Model Simulations (2009, methodology): “For 1 We have conducted simulations using the single-moment scheme of Lin et al. (1983) [as modified for hurricane research by Braun and Tao (2000)] and the double-moment scheme of Morrison et al. (2009).”
The Impact of Raindrop Collisional Processes on the Polarimetric Radar Variables (2014, background): “Model simulations of convective storms have been found to be quite sensitive to microphysical parameterizations, including warm-rain processes(Ferrier et al. 1995; Morrison et al. 2009; Dawson et al. 2010; Bryan and Morrison 2012).”
Effects of Surface Exchange Coefficients and Turbulence Length Scales on the Intensity and Structure of Numerically Simulated Hurricanes (2012, background): “A second configuration, referred to as setup B, uses a different sounding, higher sea surface temperature Ts, and a double-moment microphysics scheme that includes ice processes (Morrison et al. 2009); see second column of Table 1.”
Evaluation of cloud‐resolving and limited area model intercomparison simulations using TWP‐ICE observations: 1. Deep convective updraft properties (2014, methodology): “…2001] UKMO-2 Left pointing Triangle (177 km)2 917 100–250 Two moment (i,g,s) [Gray et al., 2001] UKMO-2M Square (177 km)2 917 100–250 Two moment (i,r,g,s) [Morrison et al., 2009] MESONH-1 Up pointing Triangle (192 km)2 1000 100–250 One moment [Pinty and Jabouille, 1998] MESONH-2 Down pointing…”