Characteristics of Mesoscale Organization in WRF Simulations of Convection during TWP-ICE

Compared to satellite-derived heating profiles, the Goddard Institute for Space Studies general circulation model (GCM) convective heating is too deep and its stratiform upper-level heating is too weak. This deficiency highlights the need for GCMs to parameterize the mesoscale organization of convection. Cloud-resolving model simulations of convection near Darwin, Australia, in weak wind shear environments of different humidities are used to characterize mesoscale organization processes and to provide parameterization guidance. Downdraft cold pools appear to stimulate further deep convection both through their effect on eddy size and vertical velocity. Anomalously humid air surrounds updrafts, reducing the efficacy of entrainment. Recovery of cold pool properties to ambient conditions over 5-6 h proceeds differently over land and ocean. Over ocean increased surface fluxes restore the cold pool to prestorm conditions. Over land surface fluxes are suppressed in the cold pool region; temperature decreases and humidity increases, and both then remain nearly constant, while the undisturbed environment cools diurnally. The upper-troposphere stratiform rain region area lags convection by 5-6 h under humid active monsoon conditions but by only 1-2 h during drier break periods, suggesting that mesoscale organization is more readily sustained in a humid environment. Stratiform region hydrometeor mixing ratio lags convection by 0-2 h, suggesting that it is strongly influenced by detrainment from convective updrafts. Small stratiform region temperature anomalies suggest that a mesoscale updraft parameterization initialized with properties of buoyant detrained air and evolving to a balance between diabatic heating and adiabatic cooling might be a plausible approach for GCMs.

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

[2]  A. Genio,et al.  The Role of Entrainment in the Diurnal Cycle of Continental Convection , 2010 .

[3]  Edward J. Zipser,et al.  Mesoscale and convective-scale downdrafts as distinct components of squall-line structure , 1977 .

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

[5]  G. Thompson,et al.  Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization , 2008 .

[6]  R. Houze,et al.  The Tropical Dynamical Response to Latent Heating Estimates Derived from the TRMM Precipitation Radar , 2004 .

[7]  David A. Randall,et al.  High-Resolution Simulation of Shallow-to-Deep Convection Transition over Land , 2006 .

[8]  V. Giraud,et al.  Microphysical characterisation of West African MCS anvils , 2010 .

[9]  A. Genio,et al.  Deep Convective System Evolution over Africa and the Tropical Atlantic , 2007 .

[10]  Christopher R. Williams,et al.  Systematic variation of drop size and radar-rainfall relations , 1999 .

[11]  R. Houze,et al.  Kinematic and Precipitation Structure of the 10–11 June 1985 Squall Line , 1991 .

[12]  Richard Neale,et al.  Application of MJO Simulation Diagnostics to Climate Models , 2009 .

[13]  Z. Kuang,et al.  Do Undiluted Convective Plumes Exist in the Upper Tropical Troposphere , 2010 .

[14]  A. Houston,et al.  The Dependence of Storm Longevity on the Pattern of Deep Convection Initiation in a Low-Shear Environment , 2011 .

[15]  S. McFarlane,et al.  Cloud classes and radiative heating profiles at the Manus and Nauru Atmospheric Radiation Measurement (ARM) sites , 2009 .

[16]  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 .

[17]  R. Houze,et al.  Leading and Trailing Anvil Clouds of West African Squall Lines , 2011 .

[18]  Xiaoqing Wu,et al.  A Comparison of TWP-ICE Observational Data with Cloud-Resolving Model Results , 2012 .

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

[20]  G. McFarquhar,et al.  The Tropical Warm Pool International Cloud Experiment , 2008 .

[21]  R. Houze,et al.  The natural variability of precipitating clouds over the western Pacific warm pool , 1998 .

[22]  S. Braun,et al.  The Transition Zone and Secondary Maximum of Radar Reflectivity behind a Midlatitude Squall Line: Results Retrieved from Doppler Radar Data , 1994 .

[23]  Wei-Kuo Tao,et al.  Multiscale cloud system modeling , 2009 .

[24]  A. Betts,et al.  Convection in GATE , 1981 .

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

[26]  Anthony D. Del Genio,et al.  Climatic Properties of Tropical Precipitating Convection under Varying Environmental Conditions , 2002 .

[27]  Mark D. Zelinka,et al.  Why is longwave cloud feedback positive , 2010 .

[28]  M. Zelinka,et al.  Response of Humidity and Clouds to Tropical Deep Convection , 2009 .

[29]  S. Klein,et al.  Observed large-scale structures and diabatic heating and drying profiles during TWP-ICE , 2010 .

[30]  A. Dai Precipitation Characteristics in Eighteen Coupled Climate Models , 2006 .

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

[32]  J. Dudhia,et al.  Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity , 2001 .

[33]  C. Schumacher,et al.  Anvil Characteristics as Seen by C-POL during the Tropical Warm Pool International Cloud Experiment (TWP-ICE) , 2008 .

[34]  Richard Neale,et al.  Parameterizing Convective Organization to Escape the Entrainment Dilemma , 2011 .

[35]  R. Houze,et al.  Stratiform precipitation production over sub‐Saharan Africa and the tropical East Atlantic as observed by TRMM , 2006 .

[36]  Frédéric Hourdin,et al.  Shifting the diurnal cycle of parameterized deep convection over land , 2009 .

[37]  M. Chou,et al.  Technical report series on global modeling and data assimilation. Volume 3: An efficient thermal infrared radiation parameterization for use in general circulation models , 1994 .

[38]  G. Young,et al.  A Convective Wake Parameterization Scheme for Use in General Circulation Models , 1998 .

[39]  R. Houze Observed structure of mesoscale convective systems and implications for large-scale heating , 1989 .

[40]  Anthony D. Del Genio,et al.  Effects of Cloud Parameterization on the Simulation of Climate Changes in the GISS GCM , 1999 .

[41]  T. Ackerman,et al.  Heating rates in tropical anvils , 1988 .

[42]  R. Houze Mesoscale convective systems , 2004 .

[43]  Jean-François Geleyn,et al.  An Approach for Convective Parameterization with Memory: Separating Microphysics and Transport in Grid-Scale Equations , 2007 .

[44]  The Use of Cloud-Resolving Simulations of Mesoscale Convective Systems to Build a Mesoscale Parameterization Scheme , 1998 .

[45]  Leo J. Donner,et al.  A Cumulus Parameterization Including Mass Fluxes, Vertical Momentum Dynamics, and Mesoscale Effects , 1993 .

[46]  Zaviša I. Janić Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model , 2001 .

[47]  P. Zuidema,et al.  The mesoscale convection life cycle: building block or prototype for large-scale tropical waves? , 2006 .

[48]  Kathrin Wapler,et al.  A limited area model (LAM) intercomparison study of a TWP‐ICE active monsoon mesoscale convective event , 2012 .

[49]  G. Petty,et al.  Intercomparison of Bulk Microphysics Schemes in Model Simulations of Polar Lows , 2010 .

[50]  A. Arakawa,et al.  Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment, Part I , 1974 .

[51]  Anthony D. Del Genio,et al.  Will moist convection be stronger in a warmer climate? , 2007 .

[52]  Robert A. Houze,et al.  Stratiform Rain in the Tropics as Seen by the TRMM Precipitation Radar , 2003 .

[53]  F. Chéruy,et al.  A Density Current Parameterization Coupled with Emanuel’s Convection Scheme. Part II: 1D Simulations , 2010 .

[54]  Mitchell W. Moncrieff,et al.  Organized convective systems : archetypal dynamical models, mass and momentum flux theory, and parametrization , 1992 .

[55]  Audrey B. Wolf,et al.  WRF and GISS SCM simulations of convective updraft properties during TWP‐ICE , 2009 .

[56]  John S. Kain,et al.  The Kain–Fritsch Convective Parameterization: An Update , 2004 .

[57]  Christopher S. Bretherton,et al.  A Mass-Flux Scheme View of a High-Resolution Simulation of a Transition from Shallow to Deep Cumulus Convection , 2006 .

[58]  R. Ruedy,et al.  Simulations of the effect of a warmer climate on atmospheric humidity , 1991, Nature.

[59]  E. Zipser,et al.  The Vertical Profile of Radar Reflectivity of Convective Cells: A Strong Indicator of Storm Intensity and Lightning Probability? , 1994 .

[60]  Jean-Philippe Lafore,et al.  A Density Current Parameterization Coupled with Emanuel’s Convection Scheme. Part I: The Models , 2010 .

[61]  Adrian M. Tompkins,et al.  Organization of Tropical Convection in Low Vertical Wind Shears: The Role of Cold Pools , 2001 .

[62]  Kerry Emanuel,et al.  On large-scale circulations in convecting atmospheres , 1994 .

[63]  Leo J. Donner,et al.  A Cumulus Parameterization Including Mass Fluxes, Convective Vertical Velocities, and Mesoscale Effects: Thermodynamic and Hydrological Aspects in a General Circulation Model , 2001 .

[64]  P. May,et al.  Vertical velocity characteristics of deep convection over Darwin, Australia , 1999 .

[65]  A. Genio,et al.  Radiative and Microphysical Characteristics of Deep Convective Systems in the Tropical Western Pacific , 2003 .

[66]  M. E. Gray,et al.  Characteristics of Numerically Simulated Mesoscale Convective Systems and Their Application to Parameterization , 2000 .

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

[68]  E. Mlawer,et al.  Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave , 1997 .

[69]  T. L’Ecuyer,et al.  A 10-year climatology of tropical radiative heating and its vertical structure from TRMM observations. , 2010 .

[70]  Tristan L'Ecuyer,et al.  Estimates of Tropical Diabatic Heating Profiles: Commonalities and Uncertainties , 2010 .

[71]  Philip J. Rasch,et al.  Tropical Intraseasonal Variability in 14 IPCC AR4 Climate Models. Part I: Convective Signals , 2006 .

[72]  Martin Köhler,et al.  Modelling the diurnal cycle of deep precipitating convection over land with cloud‐resolving models and single‐column models , 2004 .

[73]  Eric A. Smith,et al.  Retrieved Vertical Profiles of Latent Heat Release Using TRMM Rainfall Products for February 1998 , 2000 .

[74]  T. L’Ecuyer,et al.  Spectral Retrieval of Latent Heating Profiles from TRMM PR data. Part 3; Moistening Estimates over Tropical Ocean Regions , 2007 .

[75]  Chung-Lin Shie,et al.  Spectral Retrieval of Latent Heating Profiles from TRMM PR Data. Part III: Estimating Apparent Moisture Sink Profiles over Tropical Oceans , 2008 .

[76]  Brian E. Mapes,et al.  Convective Inhibition, Subgrid-Scale Triggering Energy, and Stratiform Instability in a Toy Tropical Wave Model , 2000 .