Sensitivity of Idealized Squall-Line Simulations to the Level of Complexity Used in Two-Moment Bulk Microphysics Schemes

AbstractThis paper investigates the level of complexity that is needed within bulk microphysics schemes to represent the essential features associated with deep convection. To do so, the sensitivity of surface precipitation is evaluated in two-dimensional idealized squall-line simulations with respect to the level of complexity in the bulk microphysics schemes of H. Morrison et al. and of J. A. Milbrandt and M. K. Yau. Factors examined include the number of predicted moments for each of the precipitating hydrometeors, the number and nature of ice categories, and the conversion term formulations. First, it is shown that simulations of surface precipitation and cold pools are not only a two-moment representation of rain, as suggested by previous research, but also by two-moment representations for all precipitating hydrometeors. Cold pools weakened when both rain and graupel number concentrations were predicted, because size sorting led to larger graupel particles that melted into larger raindrops and cause...

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

[2]  Peter V. Hobbs,et al.  The Mesoscale and Microscale Structure and Organization of Clouds and Precipitation in Midlatitude Cyclones. XII: A Diagnostic Modeling Study of Precipitation Development in Narrow Cold-Frontal Rainbands , 1984 .

[3]  Yefim L. Kogan,et al.  The simulation of a convective cloud in a 3-D model with explicit microphysics , 1991 .

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

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

[6]  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 .

[7]  Morris L. Weisman,et al.  “A Theory for Strong Long-Lived Squall Lines” Revisited , 2004 .

[8]  N. Lipzig,et al.  The Impact of Size Distribution Assumptions in a Bulk One-Moment Microphysics Scheme on Simulated Surface Precipitation and Storm Dynamics during a Low-Topped Supercell Case in Belgium , 2011 .

[9]  R. Fovell,et al.  Discrete Propagation in Numerically Simulated Nocturnal Squall Lines , 2006 .

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

[11]  W. Cooper,et al.  Ice Initiation in Natural Clouds , 1986 .

[12]  Xiaoliang Song,et al.  Microphysics parameterization for convective clouds in a global climate model: Description and single‐column model tests , 2011 .

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

[14]  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 .

[15]  A. Pokrovsky,et al.  Some effects of cloud-aerosol interaction on cloud microphysics structure and precipitation formation: numerical experiments with a spectral microphysics cloud ensemble model , 1999 .

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

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

[18]  R. Rotunno,et al.  A Theory for Strong, Long-Lived Squall Lines , 1988 .

[19]  J. Dudhia Numerical Study of Convection Observed during the Winter Monsoon Experiment Using a Mesoscale Two-Dimensional Model , 1989 .

[20]  L. Donner,et al.  Cloud microphysics, radiation and vertical velocities in two‐ and three‐dimensional simulations of deep convection , 2006 .

[21]  Andrew Gettelman,et al.  A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, version 3 (CAM3). Part I: Description and numerical tests , 2008 .

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

[23]  Ming-Jen Yang,et al.  On the Definition of Precipitation Efficiency , 2007 .

[24]  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 .

[25]  C. Bretherton,et al.  Differences in the lower troposphere in two‐ and three‐dimensional cloud‐resolving model simulations of deep convection , 2008 .

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

[27]  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 .

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

[29]  S. McFarlane,et al.  Evaluation of Cloud-Resolving Model Intercomparison Simulations Using TWP-ICE Observations: Precipitation and Cloud Structure , 2011 .

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

[31]  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 .

[32]  Kevin W. Manning,et al.  Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part I: Description and Sensitivity Analysis , 2004 .

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

[34]  G. Bryan,et al.  Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics , 2012 .

[35]  S. Belair,et al.  Simulation of an Orographic Precipitation Event during IMPROVE-2. Part II: Sensitivity to the Number of Moments in the Bulk Microphysics Scheme , 2010 .

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

[37]  E. Mansell,et al.  A Bulk Microphysics Parameterization with Multiple Ice Precipitation Categories , 2005 .

[38]  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 .

[39]  Peter V. Hobbs,et al.  Fall speeds and masses of solid precipitation particles , 1974 .

[40]  William R. Cotton,et al.  A Numerical Investigation of Several Factors Contributing to the Observed Variable Intensity of Deep Convection over South Florida , 1980 .

[41]  Jason A. Milbrandt,et al.  Comparison of Two-Moment Bulk Microphysics Schemes in Idealized Supercell Thunderstorm Simulations , 2011 .

[42]  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 .

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