A Multimoment Bulk Microphysics Parameterization. Part I: Analysis of the Role of the Spectral Shape Parameter

By M. J.A, AU M.K.Y. 2005

670 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/220e1155378d5a362191659c7d43cca3ee64f1c2

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Citations in the corpus

Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests (2015, methodology): “Two-moment schemes, where the mass and number mixing ratios are prognosed independently, were then developed (e.g., Ziegler 1985; Ferrier 1994; Seifert and Beheng 2001; Meyers et al. 1997; Morrison et al. 2005; Milbrandt and Yau 2005a; Philips et al. 2007; Lim and Hong 2010).”
Simulated Electrification of a Small Thunderstorm with Two-Moment Bulk Microphysics (2010, background): “…little or no riming growth is expected (e.g., in anvils at temperatures T , 2 40 8 C where no liquid water should be present), other charging conditions might be considered, such as supersaturation with respect to ice as a sufﬁcient condition for appreciable charge separation (Mitzeva et al. 2006).”
A Novel Approach for Representing Ice Microphysics in Models: Description and Tests Using a Kinematic Framework (2007, methodology): “The bulk approach was extended to the ice phase using a similar separation between cloud ice and large precipitating ice (e.g., Lin et al. 1983; Rutledge and Hobbs 1984; Dudhia 1989; Ferrier 1994; Meyers et al. 1997; Reisner et al. 1998; Milbrandt and Yau 2005).”
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…”
A Multimoment Bulk Microphysics Parameterization. Part II: A Proposed Three-Moment Closure and Scheme Description (2005, methodology): “…has been implemented into the Canadian Mesoscale Compressible Community (MC2) model (Benoit et al. 1997) and applied to successfully simulate a severe hailstorm using a horizontal grid spacing of 1 km. Future papers in this series (Milbrandt and Yau 2005b,c, manuscripts submitted to J. Atmos.”
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.”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “More recently, this idea was extended to three‐moment bulk schemes that predict three quantities, typically number, mass, and radar reflectivity factor (e.g., Loftus et al., 2014; Milbrandt & Yau, 2005b; Naumann & Seifert, 2016; Paukert et al., 2018; Shipway & Hill, 2012).”
Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes (2015, methodology): “…retrieved and modeled precipitation rates for MOR-H, P3, and the sensitivity tests using these schemes with modiﬁed fall speed, MOR-H-F and P3-F, respectively. which are known to result in excessive size sorting (Wacker and Seifert 2001; Milbrandt and Yau 2005a; Milbrandt and McTaggart-Cowan 2010).”
Snow Size Distribution Parameterization for Midlatitude and Tropical Ice Clouds (2007, background): “Two-moment schemes for snow are now being introduced (e.g., Ferrier 1994; Morrison et al. 2005; Milbrandt and Yau 2005; Seifert and Beheng 2006) that predict both IWC and number concentration.”
The Impact of Size Sorting on the Polarimetric Radar Variables (2012, background): “On the other hand, the velocity relation used in some bulk microphysics parameterization schemes (e.g., Ferrier 1994; Milbrandt and Yau 2005b, hereafter MY05b; originally from Uplinger 1981) slightly underestimates the fall speeds of the largest drops.”
Development of an Effective Double-Moment Cloud Microphysics Scheme with Prognostic Cloud Condensation Nuclei (CCN) for Weather and Climate Models (2010, background): “…clouds even though the strength of these double-moment schemes relies on the accuracy of the representation of several microphysical processes (Cohard and Pinty 2000b; Lee et al. 2004; Thompson et al. 2004; Milbrandt and Yau 2005; Phillips et al. 2007; Luo et al. 2008; Morrison et al. 2009).”
A Description of the Advanced Research WRF Model Version 4 (2019, background): “The Milbrandt and Yau (2005) scheme is a fully double-moment scheme that carries graupel and hail as separate species.”
Ensemble Kalman Filter Assimilation of Radar Observations of the 8 May 2003 Oklahoma City Supercell: Influences of Reflectivity Observations on Storm-Scale Analyses (2011, result): “Double- and triple-moment schemes (Seifert and Beheng 2001; Milbrandt and Yau 2005; Morrison and Grabowski 2008) could mitigate some of the model errors that affect our results.”
Advanced Two-Moment Bulk Microphysics for Global Models. Part II: Global Model Solutions and Aerosol–Cloud Interactions* (2015, methodology): “…now consistently represent the mass and number concentrations of cloud drops (Lohmann et al. 1999) and ice crystals (Morrison and Gettelman 2008, hereafter MG2008), using methods similar to those developed for mesoscale models (Morrison et al. 2005; Thompson et al. 2008; Milbrandt and Yau 2005).”
Comparison of Evaporation and Cold Pool Development between Single-Moment and Multimoment Bulk Microphysics Schemes in Idealized Simulations of Tornadic Thunderstorms (2010, methodology): “The distribution has also been applied to other types of hydrometeors, including cloud and various ice categories (Walko et al. 1995; Meyers et al. 1997; Milbrandt and Yau 2005a, hereafter MY05a; Milbrandt and Yau 2005b, hereafter MY05b).”