Evaluation of Hydrometeor Phase and Ice Properties in Cloud-Resolving Model Simulations of Tropical Deep Convection Using Radiance and Polarization Measurements

Satellite measurements are used to evaluate the glaciation, particle shape, and effective radius in cloudresolvingmodel simulationsof tropicaldeepconvection.Multidirectional polarized reflectancesconstrainthe ice crystal geometry and the thermodynamic phase of the cloud tops, which in turn are used to calculate nearinfrared reflectances so as to constrain the simulated ice effective radius, thereby avoiding inconsistencies between retrieval algorithms and model simulations. Liquid index values derived from Polarization and Directionality of the Earth’s Reflectances (POLDER) measurements indicate only ice-topped clouds at brightness temperatures (BTs) lower than 2408C, only liquid clouds at BT .2 208C, and both phases occurringattemperaturesinbetween.Liquidindexvaluescalculatedfrommodelsimulationsgenerallyreveal too many ice-topped clouds at BT .2 208C. The model assumption of platelike ice crystals with an aspect ratioof0.7isfoundconsistentwithPOLDERmeasurementsforBT,2408Cwhenveryroughicecrystalsare assumed, leading to an asymmetry parameter of 0.74, whereas measurements indicate more extreme aspect ratios of ;0.15 at higher temperatures, yielding an asymmetry parameter of 0.84. MODIS-retrieved ice effective radii are found to be 18‐28 m ma t BT ,2 408C, but biased low by about 5 mm owing primarily to the assumption of pristine crystals in the retrieval. Simulated 2.13-mm reflectances at BT ,2 408C are found to be about 0.05‐0.1 too large comparedto measurements, suggesting that model-simulated effective radii are 7‐15 mm too small. Two simulations with contrasting ice nucleation schemes showed little difference in simulated effective radii at BT ,2 408C, indicating that homogeneous nucleation is dominating in the simulations. Changes around 2408C in satellite observations suggest a change in cloud-top ice shape and/or size in natural deep convection possibly related to a change in the freezing mechanism.

[1]  G. Mie.  Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen , 1908 .

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

[3]  A. Macke,et al.  Single Scattering Properties of Atmospheric Ice Crystals , 1996 .

[4]  G. McFarquhar,et al.  Dependence of the single-scattering properties of small ice crystals on idealized shape models , 2010 .

[5]  William L. Woodley,et al.  Deep convective clouds with sustained supercooled liquid water down to -37.5 °C , 2000, Nature.

[6]  Itamar M. Lensky,et al.  The time-space exchangeability of satellite retrieved relations between cloud top temperature and particle effective radius , 2005 .

[7]  Tianle Yuan,et al.  Estimating glaciation temperature of deep convective clouds with remote sensing data , 2010 .

[8]  Hiroaki Miura,et al.  Comparison of high-level clouds represented in a global cloud system–resolving model with CALIPSO/CloudSat and geostationary satellite observations , 2010 .

[9]  A. H. Auer,et al.  The Dimension of Ice Crystals in Natural Clouds , 1970 .

[10]  Brian H. Kahn,et al.  Limitations of Bispectral Infrared Cloud Phase Determination and Potential for Improvement , 2008 .

[11]  Robert F. Cahalan,et al.  Horizontal radiative fluxes in clouds and accuracy of the independent pixel approximation at absorbing wavelengths , 1999 .

[12]  Andrew J. Heymsfield,et al.  The Definition and Significance of an Effective Radius for Ice Clouds , 1998 .

[13]  C. McKay,et al.  Rapid calculation of radiative heating rates and photodissociation rates in inhomogeneous multiple scattering atmospheres , 1989 .

[14]  Timothy J. Garrett,et al.  Identification of Small Ice Cloud Particles Using Passive Radiometric Observations , 2010 .

[15]  Michael D. King,et al.  Remote sensing of optical and microphysical properties of cirrus clouds using Moderate-Resolution Imaging Spectroradiometer channels: Methodology and sensitivity to physical assumptions , 2000 .

[16]  Olivier Hagolle,et al.  PARASOL in-flight calibration and performance. , 2007, Applied optics.

[17]  S. McFarlane,et al.  Tropical anvil characteristics and water vapor of the tropical tropopause layer: Impact of heterogeneous and homogeneous freezing parameterizations , 2010 .

[18]  Robert Wood,et al.  Ice Particle Interarrival Times Measured with a Fast FSSP , 2003 .

[19]  Bruce A. Wielicki,et al.  Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth's Radiant Energy System Instrument on the Tropical Rainfall Measuring Mission Satellite. Part II; Validation , 2003 .

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

[21]  S. Warren,et al.  Optical constants of ice from the ultraviolet to the microwave: A revised compilation , 2008 .

[22]  Richard H. Johnson,et al.  Terminal versus transient cumulus congestus: A CloudSat perspective , 2009 .

[23]  John M. Haynes,et al.  COSP: Satellite simulation software for model assessment , 2011 .

[24]  H. Böhm.  A General Equation for the Terminal Fall Speed of Solid Hydrometeors. , 1989 .

[25]  Qiang Fu,et al.  Modeling of Scattering and Absorption by Nonspherical Cirrus Ice Particles at Thermal Infrared Wavelengths. , 1999 .

[26]  Anthony J. Baran,et al.  A review of the light scattering properties of cirrus , 2009 .

[27]  Maurice Herman,et al.  Cloud thermodynamical phase classification from the POLDER spaceborne instrument , 2000 .

[28]  J. Slingo,et al.  The Diurnal Cycle in the Tropics , 2001 .

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

[30]  Mark DeMaria,et al.  Comparison between observed and synthetic 6.5 and 10.7 μm GOES-12 imagery of thunderstorms that occurred on 8 May 2003 , 2010 .

[31]  A. Illingworth,et al.  Evidence that ice forms primarily in supercooled liquid clouds at temperatures > −27°C , 2011 .

[32]  Tianle Yuan,et al.  General Macro- and Microphysical Properties of Deep Convective Clouds as Observed by MODIS , 2010 .

[33]  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 .

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

[35]  Robert P. d'Entremont,et al.  Satellite retrieval of the liquid water fraction in tropical clouds between −20 and −38 °C , 2011 .

[36]  Wojciech W. Grabowski,et al.  A parameterization of cloud microphysics for long-term cloud-resolving modeling of tropical convection , 1999 .

[37]  Qiang Fu,et al.  A New Parameterization of an Asymmetry Factor of Cirrus Clouds for Climate Models , 2007 .

[38]  Q. Fu,et al.  Dependence of ice crystal optical properties on particle aspect ratio , 2009 .

[39]  David R. Doelling,et al.  Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth’s Radiant Energy System Instrument on the Terra Satellite. Part II: Validation , 2005 .

[40]  Q. Fu,et al.  Tropical Convection and the Energy Balance at the Top of the Atmosphere , 2001 .

[41]  J. Hansen,et al.  Light scattering in planetary atmospheres , 1974 .

[42]  P. Bauer,et al.  Satellite Data Simulator Unit: A Multisensor, Multispectral Satellite Simulator Package , 2010 .

[43]  Bryan A. Baum,et al.  Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part I: Microphysical Data and Models. , 2005 .

[44]  M. King,et al.  Determination of the optical thickness and effective particle radius of clouds from reflected solar , 1990 .

[45]  Timothy J. Garrett,et al.  Small, highly reflective ice crystals in low‐latitude cirrus , 2003 .

[46]  David L. Mitchell,et al.  Effective Diameter in Radiation Transfer: General Definition, Applications, and Limitations , 2002 .

[47]  Steven Platnick,et al.  Effects of ice particle size vertical inhomogeneity on the passive remote sensing of ice clouds , 2010 .

[48]  Steven Platnick,et al.  Influence of ice particle model on satellite ice cloud retrieval: lessons learned from MODIS and POLDER cloud product comparison , 2009 .

[49]  W. Rossow,et al.  Advances in understanding clouds from ISCCP , 1999 .

[50]  A. Korolev,et al.  Assessing Cloud-Phase Conditions , 2001 .

[51]  G. McFarquhar,et al.  An evaluation of ice formation in large‐eddy simulations of supercooled Arctic stratocumulus using ground‐based lidar and cloud radar , 2009 .

[52]  R. Hogan,et al.  The Capacitance of Pristine Ice Crystals and Aggregate Snowflakes , 2006, physics/0610038.

[53]  Piet Stammes,et al.  Modeling total and polarized reflectances of ice clouds: evaluation by means of POLDER and ATSR-2 measurements. , 2005, Applied optics.

[54]  M. King,et al.  Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part II: Narrowband Models , 2005 .

[55]  G. McFarquhar,et al.  ARM/GCSS/SPARC TWP-ICE CRM Intercomparison Study , 2010 .

[56]  David M. Winker,et al.  Classification of particle shapes from lidar depolarization ratio in convective ice clouds compared to in situ observations during CRYSTAL-FACE , 2004 .

[57]  S. Massie,et al.  Influence of convection and aerosol pollution on ice cloud particle effective radius , 2010 .

[58]  R. Engelmann,et al.  Evolution of the ice phase in tropical altocumulus: SAMUM lidar observations over Cape Verde , 2009 .

[59]  O. Toon,et al.  Ice nucleation in the upper troposphere: Sensitivity to aerosol number density, temperature, and cooling rate , 1994 .

[60]  J. Seinfeld,et al.  Evidence for the Predominance of Mid-Tropospheric Aerosols as Subtropical Anvil Cloud Nuclei , 2004, Science.

[61]  G. McFarquhar,et al.  Single‐scattering properties of aggregates of plates , 2009 .

[62]  A. Pokrovsky,et al.  Simulating convective clouds with sustained supercooled liquid water down to −37.5°C using a spectral microphysics model , 2001 .

[63]  Hajime Okamoto,et al.  Global analysis of cloud phase and ice crystal orientation from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data using attenuated backscattering and depolarization ratio , 2010 .

[64]  Ping Yang,et al.  Application of CALIOP Measurements to the Evaluation of Cloud Phase Derived from MODIS Infrared Channels , 2009 .

[65]  Sunny Sun-Mack,et al.  CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data—Part I: Algorithms , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[66]  Xiao-dong Liu,et al.  On the Use of Scattering Kernels to Calculate Ice Cloud Bulk Optical Properties , 2012 .

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

[68]  S. Sherwood,et al.  Small ice crystals and the climatology of lightning , 2006 .

[69]  G. McFarquhar,et al.  Ice properties of single-layer stratocumulus during the Mixed-Phase Arctic Cloud Experiment: 2. Model results , 2007 .

[70]  Robert Wood,et al.  Radiative and Convective Driving of Tropical High Clouds , 2007 .

[71]  Pierre H. Flamant,et al.  Ice crystal shapes in cirrus clouds derived from POLDER/ADEOS‐1 , 2001 .

[72]  H. Mannstein,et al.  Microphysical and optical properties of midlatitude cirrus clouds observed in the southern hemisphere during INCA , 2006 .

[73]  Ann M. Fridlind,et al.  Intercomparison of cloud model simulations of Arctic mixed‐phase boundary layer clouds observed during SHEBA/FIRE‐ACE , 2011 .

[74]  Patrick Minnis,et al.  Estimating the top altitude of optically thick ice clouds from thermal infrared satellite observations using CALIPSO data , 2008 .

[75]  B. Cairns,et al.  Polarimetric retrievals of surface and cirrus clouds properties in the region affected by the Deepwater Horizon oil spill , 2012 .

[76]  Patrick Minnis,et al.  GOES 12 observations of convective storm variability and evolution during the Tropical Composition, Clouds and Climate Coupling Experiment field program , 2010 .

[77]  A. Lacis,et al.  A description of the correlated k distribution method for modeling nongray gaseous absorption, thermal emission, and multiple scattering in vertically inhomogeneous atmospheres , 1991 .

[78]  C. Westbrook.  (www.interscience.wiley.com) DOI: 10.1002/qj.000 The fall speeds of sub-100µm ice crystals , 2022 .

[79]  D. Mitchell.  Use of Mass- and Area-Dimensional Power Laws for Determining Precipitation Particle Terminal Velocities , 1996 .

[80]  J. Böhm.  A general hydrodynamic theory for mixed-phase microphysics. Part I: drag and fall speed of hydrometeors , 1992 .

[81]  David L. Mitchell,et al.  Modeling cirrus clouds. Part II: Treatment of radiative properties , 1996 .

[82]  R. Lawson,et al.  Microphysical and radiative properties of tropical clouds investigated in TC4 and NAMMA , 2010 .

[83]  Comparison of POLDER cloud phase retrievals to active remote sensors measurements at the ARM SGP site , 2001 .

[84]  A. Heymsfield.  Cirrus Uncinus Generating Cells and the Evolution of Cirriform Clouds. Part I: Aircraft Observations of the Growth of the Ice Phase , 1975 .

[85]  Richard H. Johnson,et al.  Trimodal Characteristics of Tropical Convection , 1999 .

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

[87]  G. Kattawar,et al.  Scattering and absorption property database for nonspherical ice particles in the near- through far-infrared spectral region. , 2005, Applied optics.

[88]  G. Stephens,et al.  Spatial statistics of likely convective clouds in CloudSat data , 2010 .

[89]  Analysis of direct comparison of cloud top temperature and infrared split window signature Against independent retrievals of cloud thermodynamic phase , 2001 .

[90]  Peter N. Francis,et al.  An observational and theoretical study of the radiative properties of cirrus: Some results from ICE'89 , 1994 .

[91]  Steven Platnick,et al.  Remote Sensing of Liquid Water and Ice Cloud Optical Thickness and Effective Radius in the Arctic: Application of Airborne Multispectral MAS Data , 2004 .

[92]  J. Hovenier,et al.  The adding method for multiple scattering calculations of polarized light , 1987 .

[93]  Andrew J. Heymsfield,et al.  A scheme for parameterizing ice cloud water content in general circulation models , 1990 .

[94]  W. Rossow,et al.  ISCCP Cloud Data Products , 1991 .

[95]  Guy Kelman,et al.  Satellite detection of severe convective storms by their retrieved vertical profiles of cloud particle effective radius and thermodynamic phase , 2008 .

[96]  G. McFarquhar,et al.  Obtaining Best Estimates for the Microphysical and Radiative Properties of Tropical Ice Clouds from TWP-ICE In Situ Microphysical Observations , 2011 .

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

[98]  T. Zinner,et al.  Testing remote sensing on artificial observations: impact of drizzle and 3-D cloud structure on effective radius retrievals , 2010 .

[99]  Microphysics of Maritime Tropical Convective Updrafts at Temperatures from -20° to -60° , 2009 .

[100]  Yongxiang Hu,et al.  The impact of ice particle roughness on the scattering phase matrix , 2010 .

[101]  J. Iaquinta,et al.  Cirrus Crystal Terminal Velocities , 2000 .

[102]  P. Field,et al.  Theory of growth by differential sedimentation, with application to snowflake formation. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[103]  R. Lawson,et al.  Cirrus Clouds and Climate Engineering: New Findings on Ice Nucleation and Theoretical Basis , 2011 .

[104]  M. Ringer,et al.  Simulation of satellite channel radiances in the Met Office Unified Model , 2003 .

[105]  Thomas C. Grenfell,et al.  Representation of a nonspherical ice particle by a collection of independent spheres for scattering , 1999 .

[106]  P. Minnis,et al.  Evolution of a Florida Cirrus Anvil , 2005 .

[107]  Teruyuki Nakajima,et al.  Algorithms for radiative intensity calculations in moderately thick atmospheres using a truncation approximation , 1988 .

[108]  Johannes Hendricks,et al.  Effects of ice nuclei on cirrus clouds in a global climate model , 2011 .

[109]  Patrick Minnis,et al.  Uncertainties Associated With the Surface Texture of Ice Particles in Satellite-Based Retrieval of Cirrus Clouds: Part II—Effect of Particle Surface Roughness on Retrieved Cloud Optical Thickness and Effective Particle Size , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[110]  W. Wiscombe.  The Delta–M Method: Rapid Yet Accurate Radiative Flux Calculations for Strongly Asymmetric Phase Functions , 1977 .

[111]  A. Korolev,et al.  Small Ice Particles in Tropospheric Clouds: Fact or Artifact? Airborne Icing Instrumentation Evaluation Experiment , 2011 .

[112]  Thermodynamic phase profiles of optically thin midlatitude clouds and their relation to temperature , 2010 .

[113]  Steven Platnick,et al.  Vertical Photon Transport in Cloud Remote Sensing Problems , 2013 .

[114]  Gerald G. Mace,et al.  Remote sensing of cirrus cloud vertical size profile using MODIS data , 2009 .

[115]  Paul W. Stackhouse,et al.  A Theoretical and Observational Study of the Radiative Properties of Cirrus: Results from FIRE 1986. , 1991 .

[116]  A. Baran,et al.  On the reflection and polarisation properties of ice cloud , 2006 .

[117]  Patrick Minnis,et al.  Uncertainties Associated With the Surface Texture of Ice Particles in Satellite-Based Retrieval of Cirrus Clouds—Part I: Single-Scattering Properties of Ice Crystals With Surface Roughness , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[118]  Thomas C. Grenfell,et al.  Representation of a nonspherical ice particle by a collection of independent spheres for scattering and absorption of radiation: 2. Hexagonal columns and plates , 2003 .

[119]  Q. Fu.  An Accurate Parameterization of the Infrared Radiative Properties of Cirrus Clouds for Climate Models , 1996 .

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

[121]  A. Heymsfield,et al.  Using in situ estimates of ice water content, volume extinction coefficient, and the total solar optical depth obtained during the tropical ACTIVE campaign to test an ensemble model of cirrus ice crystals , 2011 .

[122]  L. Leung,et al.  Evaluating regional cloud-permitting simulations of the WRF model for the Tropical Warm Pool International Cloud Experiment (TWP-ICE, Darwin 2006) , 2009 .

[123]  Steven C. Sherwood,et al.  Observed Evolution of Tropical Deep Convective Events and Their Environment , 1999 .

[124]  R. Lawson,et al.  Representing the ice fall speed in climate models: Results from Tropical Composition, Cloud and Climate Coupling (TC4) and the Indirect and Semi‐Direct Aerosol Campaign (ISDAC) , 2011 .

[125]  Marie Doutriaux-Boucher,et al.  Modeling of light scattering in cirrus clouds with inhomogeneous hexagonal monocrystals. Comparison with in‐situ and ADEOS‐POLDER measurements , 2000 .

[126]  Andrew J. Heymsfield,et al.  The microphysical properties of tropical convective anvil cirrus: A comparison of models and observations , 2001 .

[127]  Timo Nousiainen,et al.  Small Irregular Ice Crystals in Tropical Cirrus , 2011 .

[128]  W. Paul Menzel,et al.  The MODIS cloud products: algorithms and examples from Terra , 2003, IEEE Trans. Geosci. Remote. Sens..

[129]  D. Lindsey,et al.  An example of the use of synthetic 3.9 μm GOES-12 imagery for two-moment microphysical evaluation , 2009 .

[130]  M. Baker,et al.  Cloud Microphysics and Climate , 1997 .

[131]  P. Pilewskie,et al.  Observations and modeling of ice cloud shortwave spectral albedo during the Tropical Composition, Cloud and Climate Coupling Experiment (TC4) , 2010 .

[132]  Bryan A. Baum,et al.  Cloud thermodynamic phase inferred from merged POLDER and MODIS data , 2007 .

[133]  M. Freer,et al.  Importance of small ice crystals to cirrus properties: Observations from the Tropical Warm Pool International Cloud Experiment (TWP‐ICE) , 2007 .

[134]  Zhibo Zhang,et al.  Improvements in Shortwave Bulk Scattering and Absorption Models for the Remote Sensing of Ice Clouds , 2011 .

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

[136]  François-Marie Bréon,et al.  Cloud droplet effective radius from spaceborne polarization measurements , 1998 .

[137]  G. McFarquhar,et al.  Sensitivity of cirrus bidirectional reflectance to vertical inhomogeneity of ice crystal habits and size distributions for two Moderate‐Resolution Imaging Spectroradiometer (MODIS) bands , 2001 .

[138]  Andrew J. Heymsfield,et al.  Parameterization of Tropical Cirrus Ice Crystal Size Distributions and Implications for Radiative Transfer: Results from CEPEX , 1997 .

[139]  George A. Isaac,et al.  Roundness and Aspect Ratio of Particles in Ice Clouds , 2003 .

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

[141]  P. Hobbs,et al.  A Model for Particle Microphysics,Turbulent Mixing, and Radiative Transfer in the Stratocumulus-Topped Marine Boundary Layer and Comparisons with Measurements , 1995 .

[142]  Ann M. Fridlind,et al.  A FIRE-ACE/SHEBA Case Study of Mixed-Phase Arctic Boundary Layer Clouds: Entrainment Rate Limitations on Rapid Primary Ice Nucleation Processes , 2012 .