The Characteristics of Tropical and Midlatitude Mesoscale Convective Systems as Revealed by Radar Wind Profilers

This study contrasts characteristics of mature squall-line mesoscale convective systems (MCSs) observed by extended ground-based radar wind profiler (RWP) deployments from the U.S. Department of Energy Atmospheric Radiation Measurement program. This analysis compares the dynamical structure, precipitation, and cold pool properties associated with MCS events over RWP sites in Oklahoma, USA, (midlatitude) to those observed during a 2-year RWP deployment to Manaus, Brazil, during GoAmazon2014/5 campaign (tropical). The MCSs indicate similar convective line rainfall rates and total rainfall accumulations. However, midlatitude events suggest a larger fractional stratiform contribution to total precipitation. For both regions, convective line cold pools are associated with sharp decreases (approximately 10 K) in the surface equivalent potential temperature (θe) near the time of line passage. Surface θe properties for both regions suggest a modest relationship between rainfall rate and the probability of observing measurable surface rainfall. The probability of observing convective updrafts in both tropical and midlatitude MCS events is found to be similar as a function of low-level radar reflectivity. However, midlatitude MCSs are associated with more intense convective updrafts, with upward air motions (mean, maximum) peaking at higher altitude. The most pronounced contrast is the propensity for deeper and more intense downdrafts in midlatitude MCSs. An analysis based on observed downdraft properties is performed using simple mixing assumptions. For these events, the vertical gradient of θe in the lower troposphere is relatively consistent between the Amazon and Oklahoma, suggesting similar mixing rates for downdrafts originating below 3 km (0.1 km−1). However, if downdrafts originate nearer to the level of minimum θe at SGP, mixing may be occurring at rates comparable to 0.3 km−1.

[1]  Robert A. Houze,et al.  Comparison of observed and simulated spatial patterns of ice microphysical processes in tropical oceanic mesoscale convective systems , 2016 .

[2]  D. Lüthi,et al.  Towards European-Scale Convection-Resolving Climate Simulations , 2016 .

[3]  M. Lemone,et al.  Vertical velocity in oceanic convection off tropical Australia , 1994 .

[4]  Alan K. Betts,et al.  The Thermodynamic Transformation of the Tropical Subcloud Layer by Precipitation and Downdrafts , 1976 .

[5]  Richard H. Johnson,et al.  The Relationship of Surface Pressure Features to the Precipitation and Airflow Structure of an Intense Midlatitude Squall Line , 1988 .

[6]  S. Rutledge,et al.  Vertical motion, diabatic heating, and rainfall characteristics in north Australia convective systems , 1998 .

[7]  R. Houze,et al.  Extreme summer convection in South America. , 2010 .

[8]  Richard H. Johnson,et al.  Organizational Modes of Midlatitude Mesoscale Convective Systems , 2000 .

[9]  Peter T. May,et al.  Mass-Flux Characteristics of Tropical Cumulus Clouds from Wind Profiler Observations at Darwin, Australia , 2015 .

[10]  C. Williams,et al.  The Anatomy of a Continental Tropical Convective Storm , 2003 .

[11]  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 .

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

[13]  Frédéric Fabry,et al.  Long-Term Radar Observations of the Melting Layer of Precipitation and Their Interpretation , 1995 .

[14]  Jimmy W. Voyles,et al.  The Arm Climate Research Facility: A Review of Structure and Capabilities , 2013 .

[15]  Lawrence D. Carey,et al.  Radar observations of the kinematic, microphysical, and precipitation characteristics of two MCSs in TRMM LBA , 2002 .

[16]  D. Stone,et al.  Towards constraining climate sensitivity by linear analysis of feedback patterns in thousands of perturbed-physics GCM simulations , 2008 .

[17]  E. Luke,et al.  Signal Postprocessing and Reflectivity Calibration of the Atmospheric Radiation Measurement Program 915-MHz Wind Profilers , 2013 .

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

[19]  Harry H. Hendon,et al.  Some Implications of the Mesoscale Circulations in Tropical Cloud Clusters for Large-Scale Dynamics and Climate , 1984 .

[20]  E. Zipser The Role of Organized Unsaturated Convective Downdrafts in the Structure and Rapid Decay of an Equatorial Disturbance , 1969 .

[21]  Jiwen Fan,et al.  Evaluation of cloud‐resolving and limited area model intercomparison simulations using TWP‐ICE observations: 1. Deep convective updraft properties , 2014 .

[22]  Nicholas A. Engerer,et al.  Surface Characteristics of Observed Cold Pools , 2008 .

[23]  L. Leung,et al.  More frequent intense and long-lived storms dominate the springtime trend in central US rainfall , 2016, Nature Communications.

[24]  Richard H. Johnson,et al.  Simulated Convective Lines with Leading Precipitation. Part II: Evolution and Maintenance , 2004 .

[25]  W. Skamarock,et al.  Three-Dimensional Evolution of Simulated Long-Lived Squall Lines , 1994 .

[26]  R. Houze,et al.  Rear Inflow in Squall Lines with Trailing Stratiform Precipitation , 1987 .

[27]  Manfred Wendisch,et al.  Introduction: Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) , 2015 .

[28]  C. Blyth On Simpson's Paradox and the Sure-Thing Principle , 1972 .

[29]  N Bharadwaj,et al.  THE MIDLATITUDE CONTINENTAL CONVECTIVE CLOUDS EXPERIMENT (MC3E). , 2016, Bulletin of the American Meteorological Society.

[30]  Chris Snyder,et al.  Atmospheric Kinetic Energy Spectra from Global High-Resolution Nonhydrostatic Simulations , 2014 .

[31]  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 .

[32]  Tetsuya Theodore. Fujita,et al.  Analytical Mesometeorology: A Review , 1963 .

[33]  Warner L. Ecklund,et al.  Classification of Precipitating Clouds in the Tropics Using 915-MHz Wind Profilers , 1995 .

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

[35]  C. Williams Vertical Air Motion Retrieved from Dual-Frequency Profiler Observations , 2012 .

[36]  Jerry M. Straka,et al.  A Summary of Convective-Core Vertical Velocity Properties Using ARM UHF Wind Profilers in Oklahoma , 2013 .

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

[38]  P. May,et al.  Wind Profiler Observations of Vertical Motion and Precipitation Microphysics of a Tropical Squall Line , 1996 .

[39]  Mark D. Ivey,et al.  The ARM Mobile Facilities , 2016 .

[40]  Richard H. Johnson,et al.  Simulated Convective Lines with Leading Precipitation. Part I: Governing Dynamics , 2004 .

[41]  Yonghua Chen,et al.  Characteristics of Mesoscale Organization in WRF Simulations of Convection during TWP-ICE , 2012 .

[42]  Alain Protat,et al.  Convective cloud vertical velocity and mass‐flux characteristics from radar wind profiler observations during GoAmazon2014/5 , 2016 .

[43]  R. Houze,et al.  The Structure and Evolution of Convection in a Tropical Cloud Cluster , 1979 .

[44]  Ann M. Fridlind,et al.  Analysis of cloud‐resolving simulations of a tropical mesoscale convective system observed during TWP‐ICE: Vertical fluxes and draft properties in convective and stratiform regions , 2012 .

[45]  Robert Sharman,et al.  Convection-Permitting Simulations of the Environment Supporting Widespread Turbulence within the Upper-Level Outflow of a Mesoscale Convective System , 2009 .

[46]  J. Augustine,et al.  The use of wind profilers in a mesoscale experiment. , 1987 .

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

[48]  S. Sherwood,et al.  Processes Responsible for Cloud Feedback , 2016, Current Climate Change Reports.

[49]  Lawrence D. Carey,et al.  An Ensemble Study of Wet Season Convection in Southwest Amazonia: Kinematics and Implications for Diabatic Heating , 2004 .

[50]  J. Hardin,et al.  Structure and Evolution of Mesoscale Convective Systems: Sensitivity to Cloud Microphysics in Convection‐Permitting Simulations Over the United States , 2018, Journal of Advances in Modeling Earth Systems.

[51]  Roscoe R. Braham,et al.  THUNDERSTORM STRUCTURE AND CIRCULATION , 1948 .

[52]  J. Hardin,et al.  The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment , 2018 .

[53]  Erik N. Rasmussen,et al.  Verification of the Origins of Rotation in Tornadoes Experiment: VORTEX , 1994 .

[54]  P. Kollias,et al.  ARM - Midlatitude Continental Convective Clouds , 2012 .

[55]  Mitchell W. Moncrieff,et al.  A Numerical Investigation of the Organization and Interaction of the Convective and Stratiform Regions of Tropical Squall Lines , 1988 .

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

[57]  G. Holland,et al.  Simulating North American mesoscale convective systems with a convection-permitting climate model , 2017, Climate Dynamics.

[58]  Peter T. May,et al.  Evaluation of Microphysical Retrievals from Polarimetric Radar with Wind Profiler Data , 2005 .

[59]  B. Vogel,et al.  Are atmospheric updrafts a key to unlocking climate forcing and sensitivity , 2016 .

[60]  M. Garstang,et al.  Cloud and rain processes in a biosphere-atmosphere interaction context in the Amazon Region , 2002 .

[61]  David D. Turner,et al.  The ARM Southern Great Plains (SGP) Site , 2016 .

[62]  D. Lüthi,et al.  Towards European-scale convection-resolving climate simulations with GPUs: a study with COSMO 4.19 , 2016 .

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

[64]  J. Fritsch,et al.  The Contribution of Mesoscale Convective Weather Systems to the Warm-Season Precipitation in the United States , 1986 .

[65]  Robert A. Houze,et al.  Structure and Dynamics of a Tropical Squall–Line System , 1977 .

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

[67]  S. Rutledge,et al.  Storm Morphology and Rainfall Characteristics of TRMM Precipitation Features , 2005 .

[68]  J. Stith,et al.  Microphysical Characteristics of Tropical Updrafts in Clean Conditions , 2004 .

[69]  R. Roca,et al.  Robust observational quantification of the contribution of mesoscale convective systems to rainfall in the tropics , 2014 .

[70]  J. McBride,et al.  The Vertical Distribution of Heating in AMEX and GATE Cloud Clusters. , 1989 .

[71]  R. C. Miller,et al.  A Basis for Forecasting Peak Wind Gusts in Non-Frontal Thunderstorms , 1954 .

[72]  D. S. Foster THUNDERSTORM GUSTS COMPARED WITH COMPUTED DOWNDRAFT SPEEDS , 1958 .

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

[74]  Manfred Wendisch,et al.  The Green Ocean Amazon Experiment (GoAmazon2014/5) Observes Pollution Affecting Gases, Aerosols, Clouds, and Rainfall over the Rain Forest , 2017 .

[75]  C. Williams,et al.  Vertical Structure of Convective Systems during NAME 2004 , 2010 .

[76]  R. Houze,et al.  Three-Dimensional Kinematic and Microphysical Evolution of Florida Cumulonimbus. Part II: Frequency Distributions of Vertical Velocity, Reflectivity, and Differential Reflectivity , 1995 .

[77]  C. Bretherton,et al.  Convective self‐aggregation feedbacks in near‐global cloud‐resolving simulations of an aquaplanet , 2015 .

[78]  Yunyan Zhang,et al.  The Midlatitude Continental Convective Clouds Experiment (MC3E) sounding network: operations, processing and analysis , 2014 .

[79]  Luiz A. T. Machado,et al.  Seasonal and diurnal variability of convection over the Amazonia: A comparison of different vegetation types and large scale forcing , 2004 .

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

[81]  M. Lemone,et al.  Cumulonimbus vertical velocity events in GATE. Part I: Diameter, intensity and mass flux , 1980 .

[82]  P. E. Johnston,et al.  Combined Wind Profiler/Polarimetric Radar Studies of the Vertical Motion and Microphysical Characteristics of Tropical Sea-Breeze Thunderstorms , 2002 .

[83]  C. Williams,et al.  Statistics of Storm Updraft Velocities from TWP-ICE Including Verification with Profiling Measurements , 2013 .

[84]  David Bolton The Computation of Equivalent Potential Temperature , 1980 .

[85]  C. Jakob,et al.  Study of diurnal cycle of convective precipitation over Amazonia using a single column model , 2002 .

[86]  R. Houze 100 Years of Research on Mesoscale Convective Systems , 2018 .

[87]  S. Bony,et al.  Spread in model climate sensitivity traced to atmospheric convective mixing , 2014, Nature.

[88]  Yonghua Chen,et al.  CORRIGENDUM of the MJO Transition from Shallow to Deep Convection in Cloudsat-Calipso Data and GISS GCM Simulations , 2012 .

[89]  G. Heymsfield,et al.  Structure and evolution of a severe squall line over Oklahoma , 1985 .

[90]  Alexander Khain,et al.  Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updrafts , 2017 .

[91]  F. Roux The West African Squall Line Observed on 23 June 1981 during COPT 81: Kinematics and Thermodynamics of the Convective Region , 1988 .

[92]  A. Betts,et al.  Unsaturated Downdraft Thermodynamics in Cumulonimbus. , 1979 .

[93]  J. Comstock,et al.  Cloud Characteristics, Thermodynamic Controls and Radiative Impacts During the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) Experiment , 2017 .

[94]  R. Houze,et al.  Three-Dimensional Kinematic and Microphysical Evolution of Florida Cumulonimbus. Part III: Vertical Mass Transport, Mass Divergence, and Synthesis , 1995 .

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

[96]  S. Rutledge,et al.  Vertical Motion Structure in Maritime continent mesoscale Convective Systems: Results from a 50-MHz Profiler , 1994 .

[97]  P. Kollias,et al.  Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E , 2016 .

[98]  E. Zipser Some Views On “Hot Towers” after 50 Years of Tropical Field Programs and Two Years of TRMM Data , 2003 .

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

[100]  Liming Zhou,et al.  Evaluation of simulated climatological diurnal temperature range in CMIP5 models from the perspective of planetary boundary layer turbulent mixing , 2017, Climate Dynamics.

[101]  M. Lemone,et al.  Convective Available Potential Energy in the Environment of Oceanic and Continental Clouds: Correction and Comments , 1994 .

[102]  J. Neelin,et al.  Tropical continental downdraft characteristics: mesoscale systems versus unorganized convection , 2017 .