Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations

AbstractIdealized three-dimensional supercell simulations were performed using the two-moment bulk microphysics schemes of Morrison and Milbrandt–Yau in the Weather Research and Forecasting (WRF) model. Despite general similarities in these schemes, the simulations were found to produce distinct differences in storm structure, precipitation, and cold pool strength. In particular, the Morrison scheme produced much higher surface precipitation rates and a stronger cold pool, especially in the early stages of storm development. A series of sensitivity experiments was conducted to identify the primary differences between the two schemes that resulted in the large discrepancies in the simulations.Different approaches in treating graupel and hail were found to be responsible for many of the key differences between the baseline simulations. The inclusion of hail in the baseline simulation using the Milbrant–Yau scheme with two rimed-ice categories (graupel and hail) had little impact, and therefore resulted in a...

[1]  H. Morrison,et al.  Modeling convective-stratiform precipitation processes on a Mei-Yu front with the Weather Research and Forecasting model: Comparison with observations and sensitivity to cloud microphysics parameterizations , 2010 .

[2]  M. Murakami,et al.  Numerical Modeling of Dynamical and Microphysical Evolution of an Isolated Convective Cloud , 1990 .

[3]  Matthew S. Gilmore,et al.  The Influence of Midtropospheric Dryness on Supercell Morphology and Evolution , 1998 .

[4]  Joseph B. Klemp,et al.  The structure and classification of numerically simulated convective storms in directionally varying wind shears , 1984 .

[5]  E. McCaul,et al.  The Sensitivity of Simulated Convective Storms to Variations in Prescribed Single-Moment Microphysics Parameters that Describe Particle Distributions, Sizes, and Numbers , 2006 .

[6]  E. Kessler.  On the distribution and continuity of water substance in atmospheric circulations , 1969 .

[7]  William R. Cotton,et al.  The Impact of Hail Size on Simulated Supercell Storms , 2004 .

[8]  Axel Seifert,et al.  On the Parameterization of Evaporation of Raindrops as Simulated by a One-Dimensional Rainshaft Model , 2008 .

[9]  Daniel T. Dawson,et al.  Comparison of Evaporation and Cold Pool Development between Single-moment and Multi-moment Bulk Microphysics Schemes in Idealized Simulations of Tornadic Thunderstorms , 2009 .

[10]  M. Yau,et al.  A Multimoment Bulk Microphysics Parameterization. Part II: A Proposed Three-Moment Closure and Scheme Description , 2005 .

[11]  E. Mansell.  EnKF analysis and forecast predictability of a tornadic supercell Storm , 2008 .

[12]  Charles A. Doswell,et al.  The Tornado : its structure, dynamics, prediction, and hazards , 1993 .

[13]  Jean-Pierre Pinty,et al.  A comprehensive two‐moment warm microphysical bulk scheme. I: Description and tests , 2000 .

[14]  Fanyou Kong,et al.  An explicit approach to microphysics in MC2 , 1997 .

[15]  Joanne Simpson,et al.  A Double-Moment Multiple-Phase Four-Class Bulk Ice Scheme. Part II: Simulations of Convective Storms in Different Large-Scale Environments and Comparisons with other Bulk Parameterizations , 1995 .

[16]  W. Cotton,et al.  Parameterization of ice crystal conversion processes due to vapor deposition for mesoscale models using double-moment basis functions. Part I: basic formulation and parcel model results , 1995 .

[17]  L. Donner,et al.  Nucleation processes in deep convection simulated by a cloud-system-resolving model with double-moment bulk microphysics , 2007 .

[18]  G. Powers,et al.  A Description of the Advanced Research WRF Version 3 , 2008 .

[19]  Conrad L. Ziegler,et al.  Retrieval of Thermal and Microphysical Variables in Observed Convective Storms. , 1985 .

[20]  Robert G. Fovell,et al.  Numerical Simulation of a Midlatitude Squall Line in Two Dimensions , 1988 .

[21]  J. Curry,et al.  Sensitivity of modeled arctic mixed‐phase stratocumulus to cloud condensation and ice nuclei over regionally varying surface conditions , 2008 .

[22]  William R. Cotton,et al.  New RAMS cloud microphysics parameterization. Part II: The two-moment scheme , 1997 .

[23]  Jian-Wen Bao,et al.  Investigation of Microphysical Parameterizations of Snow and Ice in Arctic Clouds during M-PACE through Model–Observation Comparisons , 2009 .

[24]  G. Thompson,et al.  Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes , 2009 .

[25]  Jordan G. Powers,et al.  A Description of the Advanced Research WRF Version 2 , 2005 .

[26]  Francis W. Murray,et al.  Ice-Bearing Cumulus Cloud Evolution: Numerical Simulation and General Comparison Against Observations. , 1976 .

[27]  Edwin X. Berry,et al.  An Analysis of Cloud Drop Growth by Collection Part II. Single Initial Distributions , 1974 .

[28]  M. Khairoutdinov,et al.  A New Cloud Physics Parameterization in a Large-Eddy Simulation Model of Marine Stratocumulus , 2000 .

[29]  Erik N. Rasmussen,et al.  Precipitation Uncertainty Due to Variations in Precipitation Particle Parameters within a Simple Microphysics Scheme , 2004 .

[30]  Alan R. Moller,et al.  The Operational Recognition of Supercell Thunderstorm Environments and Storm Structures , 1994 .

[31]  Forecasting the solid-to-liquid ratio of precipitation a cloud-resolving model , 2009 .

[32]  H. D. Orville,et al.  Bulk Parameterization of the Snow Field in a Cloud Model , 1983 .

[33]  Morris L. Weisman,et al.  The Use of Vertical Wind Shear versus Helicity in Interpreting Supercell Dynamics , 2000 .

[34]  J. Curry,et al.  A New Double-Moment Microphysics Parameterization for Application in Cloud and Climate Models. Part I: Description , 2005 .

[35]  J. Wyngaard,et al.  Resolution Requirements for the Simulation of Deep Moist Convection , 2003 .

[36]  W. Cotton,et al.  New RAMS cloud microphysics parameterization part I: the single-moment scheme , 1995 .

[37]  Paul L. Smith.  Equivalent Radar Reflectivity Factors for Snow and Ice Particles , 1984 .

[38]  Paul Markowski,et al.  A Numerical Investigation of the Effects of Dry Air Aloft on Deep Convection , 2009 .

[39]  Joanne Simpson,et al.  Comparison of Ice-Phase Microphysical Parameterization Schemes Using Numerical Simulations of Tropical Convection , 1991 .

[40]  K. D. Beheng,et al.  A double-moment parameterization for simulating autoconversion, accretion and selfcollection , 2001 .

[41]  William S. Olson,et al.  Improving Simulations of Convective Systems from TRMM LBA: Easterly and Westerly Regimes , 2007 .

[42]  I. Geresdi,et al.  Idealized simulation of the Colorado hailstorm case: comparison of bulk and detailed microphysics , 1998 .

[43]  C. Doswell,et al.  Severe Thunderstorm Evolution and Mesocyclone Structure as Related to Tornadogenesis , 1979 .

[44]  R. Rauber,et al.  Numerical Simulation of the Effects of Varying Ice Crystal Nucleation Rates and Aggregation Processes on Orographic Snowfall , 1986 .

[45]  S. J. Weiss,et al.  Some Practical Considerations Regarding Horizontal Resolution in the First Generation of Operational Convection-Allowing NWP , 2008 .

[46]  H. Morrison,et al.  A Novel Approach for Representing Ice Microphysics in Models: Description and Tests Using a Kinematic Framework , 2007 .

[47]  J. Mailhot,et al.  Simulation of an Orographic Precipitation Event during IMPROVE-2. Part I: Evaluation of the Control Run Using a Triple-Moment Bulk Microphysics Scheme , 2008 .

[48]  G. Feingold,et al.  The Evolution of Raindrop Spectra. Part III: Downdraft Generation in an Axisymmetrical Rainshaft Model , 1991 .

[49]  B. Ferrier,et al.  A Double-Moment Multiple-Phase Four-Class Bulk Ice Scheme. Part I: Description , 1994 .

[50]  James O. Pinto,et al.  Mesoscale modeling of springtime Arctic mixed-phase stratiform clouds using a new two-moment bulk microphysics scheme , 2005 .

[51]  James O. Pinto,et al.  Intercomparison of bulk cloud microphysics schemes in mesoscale simulations of springtime Arctic mixed-phase stratiform clouds , 2006 .

[52]  A. Pokrovsky,et al.  Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed-phase cumulus cloud model. Part I: Model description and possible applications , 2004 .

[53]  R. Rasmussen,et al.  Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model , 1998 .

[54]  Nigel Roberts,et al.  Characteristics of high-resolution versions of the Met Office unified model for forecasting convection over the United Kingdom , 2008 .

[55]  Joseph B. Klemp,et al.  The Dependence of Numerically Simulated Convective Storms on Vertical Wind Shear and Buoyancy , 1982 .

[56]  M. Yau,et al.  A Multimoment Bulk Microphysics Parameterization. Part I: Analysis of the Role of the Spectral Shape Parameter , 2005 .

[57]  Edwin X. Berry,et al.  An Analysis of Cloud Drop Growth by Collection: Part III. Accretion and Self-collection , 1974 .

[58]  S. Rutledge,et al.  The Mesoscale and Microscale Structure and Organization of Clouds and Precipitation in Midlatitude Cyclones. VIII: A Model for the “Seeder-Feeder” Process in Warm-Frontal Rainbands , 1983 .

[59]  M. Yau,et al.  A Multimoment Bulk Microphysics Parameterization. Part IV: Sensitivity Experiments , 2006 .

[60]  T. Kato.  A box-Lagrangian rain-drop scheme , 1995 .

[61]  William R. Cotton,et al.  Fitting Microphysical Observations of Nonsteady Convective Clouds to a Numerical Model: An Application of the Adjoint Technique of Data Assimilation to a Kinematic Model , 1993 .

[62]  N. Lipzig,et al.  Evaluation of moist processes during intense precipitation in km-scale NWP models using remote sensing and in-situ data: Impact of microphysics size distribution assumptions , 2011 .

[63]  Scott A. Braun,et al.  Sensitivity of High-Resolution Simulations of Hurricane Bob (1991) to Planetary Boundary Layer Parameterizations , 2000 .