The WRF Single-Moment 6-Class Microphysics Scheme (WSM6)

By Song‐You Hong, J. Lim. 2006

3,198 citations recorded by the source corpus.

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Citations in the corpus

A New Bulk Microphysical Scheme That Includes Riming Intensity and Temperature-Dependent Ice Characteristics (2011, methodology): “To consider partially rimed particles, Dudhia et al. (2008) proposed using the snow and graupel mass-weighted fall velocity for the sedimentation of snow and graupel in a six-category BMP in WRF (Hong and Lim 2006).”
Experiences with 0–36-h Explicit Convective Forecasts with the WRF-ARW Model (2008, methodology): “This seems consistent with Lilly (1990), who hypothesized that forecast improvements for small-scale phenomena such as convection may still be realized through increases in model resolution as long as the primary forcing for the convection is still at scales large enough that they reside within the ”
Cloud ice: A climate model challenge with signs and expectations of progress (2007, background): “The microphysics scheme is a single-moment, six-class microphysics scheme that includes the interaction between water vapor, cloud water, cloud ice, rain, snow, and graupel [Hong and Lim, 2006].”
A Review of Planetary Boundary Layer Parameterization Schemes and Their Sensitivity in Simulating Southeastern U.S. Cold Season Severe Weather Environments (2015, unknown): “For all ﬁve WRF simulations, we use a horizontal grid spacing of 4km, the WRF single-moment 6-class microphysics scheme (Hong and Lim 2006), the Rapid Radiative Transfer Model relevant for general circulation models (RRTMG; Iacono et al. 2008) long-and shortwave radiation schemes, the Noah land…”
A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes (2006, methodology): “…2.0 of the WRF was used with the Noah land surface model (Chen and Dudhia 2001), and WRF single-moment six-class microphysics (Hong et al. 2004; Hong and Lim 2006), Dudhia (1989) simple cloudinteractive shortwave, and rapid radiative transfer model longwave radiation (Mlawer et al. 1997)…”
A Description of the Advanced Research WRF Model Version 4 (2019, methodology): “88 8.6.4 Mellor-Yamada-Nakanishi-Niino (MYNN) Levels 2.5 and 3 . . . . . . . . 88 8.6.5 Asymmetrical Convective Model version 2 (ACM2) PBL . . . . . . . . . 89 8.6.6 Bougeault-Lacarrere PBL . . . . . . . . . . . . . . . . . . . . . . . . . .”
Some issues in uncertainty quantification and parameter tuning: a case study of convective parameterization scheme in the WRF regional climate model (2011, background): “…RRTMG (Rapid Radiative Transfer Model for GCMs, Barker et al., 2003; Pincus et al., 2003) vs. CAM (Community Atmosphere Model 3.0, Collins et al., 2004), and two different microphysics schemes, WSM6 (WRF Single-Moment 6-class, Hong and Lim, 2006) vs. Morrison 2-Moment (Morrison et al., 2005).”
Direct Assimilation of Radar Reflectivity without Tangent Linear and Adjoint of the Nonlinear Observation Operator in the GSI-Based EnVar System: Methodology and Experiment with the 8 May 2003 Oklahoma City Tornadic Supercell (2017, methodology): “The experiments are conducted with WRF-ARW at a 2-km convection allowing resolution with the WSM6 microphysics scheme.”
Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updrafts (2017, methodology): “We use the Rapid Radiative Transfer Model for application to GCMs shortwave and longwave radiation schemes [Iacono et al., 2008], the Noah Land Surface Model [Chen and Dudhia, 2001], and the Mellor–Yamada–Janjic (MYJ) planetary boundary layer scheme [Hong et al., 2006].”
Modulation of Wind-Work by Oceanic Current Interaction with the Atmosphere (2016, methodology): “The model conﬁguration was set up with the following parameterizations: the WRF single-moment 6-class microphysics scheme (Hong and Lim 2006) modiﬁed to take into account the droplet concentration (Jousse et al. 2016); the Tiedtke cumulus parameterization (Zhang et al. 2011); the new Goddard scheme…”
Effects of Vertical Wind Shear on the Predictability of Tropical Cyclones (2013, methodology): “2006) with a surface layer scheme of Dudhia et al. (2008) (isftcflx=1 in WRF), WSM6 96 microphysics (Hong and Lim 2006), and no cumulus parameterization.”
Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes (2015, background): “…tested for seasonal snowfall prediction in the Colorado Rockies (Liu et al. 2011). f. WRF single moment (WSM6) The WSM6 scheme is one moment and prognoses mass mixing ratios for ﬁve hydrometeor categories: cloud droplets, rain, cloud ice, snow, and graupel (Hong et al. 2004; Hong and Lim 2006).”
A new high‐resolution Meteorological Reanalysis Italian Dataset: MERIDA (2019, methodology): “In the latter study, some convection-permitting simulations at 1 km resolution were carried out with two different microphysics schemes (i.e. the WRF Single-Moment 6-Class scheme WSM6: Hong and Lim, 2006; the Double Moment Thompson scheme: Thompson et al., 2008).”
Tropical cyclogenesis sensitivity to environmental parameters in radiative–convective equilibrium (2007, methodology): “For microphysics, the WRF Single-Moment (WSM) 6-class scheme (with graupel) is used (Hong and Lim, 2006).”
Projected changes of extreme weather events in the eastern United States based on a high resolution climate modeling system (2012, methodology): “The most widely used physics in US simulation domain was selected in this study, including: the new Kain–Fritsch convective parameterization [13, 34–36], the single-moment 6-class microphysical scheme (WSM6) [12, 13, 36, 37], the Mellor–Yamada–Janjic planetary boundary layer (PBL) scheme [35, 38, 39”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, methodology): “Aircraft observations from Houze et al. (1979) were used to characterize inverse exponential snow particle SD parameters as a function of temperature in the WSM6 scheme (WRF six‐class single moment; Hong et al., 2004; Hong & Lim, 2006).”