Modeling springtime shallow frontal clouds with cloud-resolving and single-column models

This modeling study compares the performance of eight single-column models (SCMs) and four cloud-resolving models (CRMs) in simulating shallow frontal cloud systems observed during a subperiod of the March 2000 ARM intensive operational period (IOP). Except for the passage of a cold front at the beginning of this subperiod, frontal cloud systems are driven by a persistent frontogenesis over the Southern Great Plains and moisture transport from northwestern part of the Gulf of Mexico. This study emphasizes quantitative comparisons among model simulations and with data, focusing on a 27 h period when only shallow frontal clouds were observed. All CRMs and SCMs qualitatively simulated clouds in the observed shallow cloud layer. Significantly different cloud amounts and cloud microphysical properties are, however, found in the model simulations. All CRMs do not produce any clouds above the observed shallow cloud layer, but most SCMs produce clouds in the middle and upper troposphere. Possible causes are discussed in this study. One is the strong decoupling between cloud condensate and cloud fraction in nearly all SCM parameterizations. Clouds are produced whenever the relative humidity (RH) reaches its threshold although the cloud water content is almost nonexistent. The other is the weak upper tropospheric subsidencemore » that has been averaged over both descending and ascending regions, i.e., the unresolved upper-level dynamical forcings. The intermodel differences are also analyzed and related to the detailed formulations of cloud microphysical processes and fractional cloud parameterizations in the SCMs and possibly to the dynamical framework in the CRMs. The underestimate of cloud liquid water content (LWC) in some SCMs is related to the Sundqvist-type formulation of the autoconversion process or the small threshold value for autoconversion, based upon the comparison between the observed and simulated LWCs. Although two of the CRMs with anelastic dynamics simulate the shallow frontal cloud much better than the SCMs, the CRMs do not necessarily perform much better than the SCMs for the entire subperiod when deep frontal clouds are presents. For the simulations of the entire subperiod, the CRM results show a vertical phase tilting in the cloud fractions while the SCM results show a vertical phase tilting in the LWCs. The observed cloud property profiles do not have any vertical phase tilting. The peak magnitudes of the simulated cloud properties are underestimated in most models and the life cycles of the simulated frontal cloud systems are much longer than those observed. These results suggest the importance of the horizontal advection of hydrometeors, which are currently not available, to drive model simulations and to adequately evaluate the performance of the models in the future.« less

[1]  S. Ghan,et al.  Parallel simulations of aerosol influence on clouds using cloud‐resolving and single‐column models , 2005 .

[2]  Minghua Zhang,et al.  Simulations of midlatitude frontal clouds by single-column and cloud--resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period , 2005 .

[3]  M. Yao,et al.  Cumulus Microphysics and Climate Sensitivity , 2005 .

[4]  Greg Michael McFarquhar,et al.  The Sensitivity of Radiative Fluxes to Parameterized Cloud Microphysics , 2003 .

[5]  D. Randall,et al.  Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities , 2003 .

[6]  James J. Hack,et al.  A modified formulation of fractional stratiform condensation rate in the NCAR Community Atmospheric Model (CAM2) , 2003 .

[7]  Gerald M. Stokes,et al.  The Atmospheric Radiation Measurement Program , 2003 .

[8]  G. Mace,et al.  Profiles of Low-Level Stratus Cloud Microphysics Deduced from Ground-Based Measurements , 2003 .

[9]  A. Tompkins A Prognostic Parameterization for the Subgrid-Scale Variability of Water Vapor and Clouds in Large-Scale Models and Its Use to Diagnose Cloud Cover , 2002 .

[10]  Minghua Zhang,et al.  An intercomparison of cloud‐resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data , 2002 .

[11]  Kerry Emanuel,et al.  A Parameterization of the Cloudiness Associated with Cumulus Convection; Evaluation Using TOGA COARE Data , 2001 .

[12]  D. Randall,et al.  A cloud resolving model as a cloud parameterization in the NCAR Community Climate System Model: Preliminary results , 2001 .

[13]  Audrey B. Wolf,et al.  Intercomparison and evaluation of cumulus parametrizations under summertime midlatitude continental conditions , 2001 .

[14]  W. Grabowski Coupling Cloud Processes with the Large-Scale Dynamics Using the Cloud-Resolving Convection Parameterization (CRCP) , 2001 .

[15]  M. Xue,et al.  The Advanced Regional Prediction System (ARPS) – A multi-scale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications , 2001 .

[16]  K. Droegemeier,et al.  The Advanced Regional Prediction System (ARPS) – A multi-scale nonhydrostatic atmospheric simulation and prediction model. Part I: Model dynamics and verification , 2000 .

[17]  M. Weisman,et al.  The Interaction of Numerically Simulated Supercells Initiated along Lines , 2000 .

[18]  G. Tselioudis,et al.  Simulations of a Cold Front by Cloud-Resolving, Limited-Area, and Large-Scale Models, and a Model Evaluation Using In Situ and Satellite Observations , 2000 .

[19]  J. Katzfey,et al.  A Scheme for Calculation of the Liquid Fraction in Mixed-Phase Stratiform Clouds in Large-Scale Models , 2000 .

[20]  M. Blackburn,et al.  A GCSS model intercomparison for a tropical squall line observed during toga‐coare. II: Intercomparison of single‐column models and a cloud‐resolving model , 2000 .

[21]  F. Guichard,et al.  A gcss model intercomparison for a tropical squall line observed during toga‐coare. I: Cloud‐resolving models , 2000 .

[22]  James J. Hack,et al.  A comparison of single column model simulations of summertime midlatitude continental convection , 2000 .

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

[24]  S. Klein,et al.  Validation and Sensitivities of Frontal Clouds Simulated by the ECMWF Model , 1999 .

[25]  Y. Sud,et al.  Microphysics of Clouds with the Relaxed Arakawa–Schubert Scheme (McRAS). Part I: Design and Evaluation with GATE Phase III Data , 1999 .

[26]  E. Clothiaux,et al.  THE ATMOSPHERIC RADIATION MEASUREMENT PROGRAM CLOUD RADARS : OPERATIONAL MODES , 1999 .

[27]  Ulrike Lohmann,et al.  Erratum: ``Prediction of the number of cloud droplets in the ECHAM GCM'' , 1999 .

[28]  M. H. Zhang,et al.  Objective Analysis of ARM IOP Data: Method and Sensitivity , 1999 .

[29]  Jimy Dudhia,et al.  The Importance of the Horizontal Advection of Hydrometeors in a Single-Column Model , 1998 .

[30]  Philip J. Rasch,et al.  A Comparison of the CCM3 Model Climate Using Diagnosed and Predicted Condensate Parameterizations , 1998 .

[31]  Brooks E. Martner,et al.  An Unattended Cloud-Profiling Radar for Use in Climate Research , 1998 .

[32]  S. Ghan,et al.  Application of cloud microphysics to NCAR community climate model , 1997 .

[33]  Leon D. Rotstayn,et al.  A physically based scheme for the treatment of stratiform clouds and precipitation in large‐scale models. I: Description and evaluation of the microphysical processes , 1997 .

[34]  Minghua Zhang,et al.  Constrained Variational Analysis of Sounding Data Based on Column-Integrated Budgets of Mass, Heat, Moisture, and Momentum: Approach and Application to ARM Measurements. , 1997 .

[35]  W. Tao,et al.  GEWEX Cloud System Study (GCSS) Working Group 4: Precipitating Convective Cloud Systems , 1997 .

[36]  D. Randall,et al.  A Semiempirical Cloudiness Parameterization for Use in Climate Models , 1996 .

[37]  David A. Randall,et al.  Single-Column Models and Cloud Ensemble Models as Links between Observations and Climate Models , 1996 .

[38]  Ulrike Lohmann,et al.  Design and performance of a new cloud microphysics scheme developed for the ECHAM general circulation model , 1996 .

[39]  D. Randall,et al.  Liquid and Ice Cloud Microphysics in the CSU General Circulation Model. Part 1: Model Description and Simulated Microphysical Processes , 1996 .

[40]  Anthony D. Del Genio,et al.  A Prognostic Cloud Water Parameterization for Global Climate Models , 1996 .

[41]  Edwin Kessler,et al.  On the continuity and distribution of water substance in atmospheric circulations , 1995 .

[42]  Q. Fu,et al.  Improvements of an ice-phase microphysics parameterization for use in numerical simulations of tropical convection , 1995 .

[43]  Robert M. Banta,et al.  Two- and Three-Dimensional Simulations of the 9 January 1989 Severe Boulder Windstorm: Comparison with Observations , 1994 .

[44]  S. Schwartz,et al.  The Atmospheric Radiation Measurement (ARM) Program: Programmatic Background and Design of the Cloud and Radiation Test Bed , 1994 .

[45]  K. D. Beheng A parameterization of warm cloud microphysical conversion processes , 1994 .

[46]  M. Tiedtke,et al.  Representation of Clouds in Large-Scale Models , 1993 .

[47]  P. Bénard,et al.  Nonhydrostatic simulation of frontogenesis in a moist atmosphere. Part I. General description and narrow rainbands , 1992 .

[48]  R. Smith A scheme for predicting layer clouds and their water content in a general circulation model , 1990 .

[49]  J. Kristjánsson,et al.  Condensation and Cloud Parameterization Studies with a Mesoscale Numerical Weather Prediction Model , 1989 .

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

[51]  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 .

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

[53]  Hilding Sundqvist,et al.  A parameterization scheme for non-convective condensation including prediction of cloud water content , 1978 .

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

[55]  Joanne Simpson,et al.  MODELS OF PRECIPITATING CUMULUS TOWERS , 1969 .

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