Session: Cloud Physics Poster Session 1 (13th Conference on Cloud Physics/13th Conference on Atmospheric Radiation (28 June

P1.1

Investigation of ice particle and cloud drop residues using the counterflow virtual impactor technique onboard the new German research aircraft HALO

Stephan Mertes, Leibniz-Institute for Tropospheric Research, Leipzig, Germany

P1.2

Comparison of experimental and numerical studies of the performance characteristics of a Pumped Counterflow Virtual Impactor

Gourihar Kulkarni, PNNL, Richland, WA; and M. Pekour, D. Murphy, K. Pratt, and D. J. Cziczo

P1.3

Design and Testing of an Interstitial Particle Sampler

Arash Moharreri, Clarkson University, Potsdam, NY; and P. Dubey, L. W. Craig, A. Schanot, D. C. Rogers, D. W. Toohey, and S. Dhaniyala

P1.4

The effects of splash artifacts on aerosol measurements in clouds

Lucas W. Craig, Clarkson University, Potsdam, NY; and A. Schanot, A. Moharerri, P. Dubey, S. Dhaniyala, D. C. Rogers, and D. W. Toohey

P1.5

Supercooled cloud CCN measurements

Stephen Noble, DRI, Reno, NV; and J. G. Hudson and V. Jha

P1.6

In Situ Measurements of Charge on Cloud Drops

Harry T. Ochs III, Atmospheric Physics Associates, Savoy, IL; and K. V. Beard

Handout (76.3 kB)

P1.7

Ice Crystal Erosion in Aircraft Icing and Airborne Cloud Measurements

J. W. Strapp, Cloud Physics and Severe Weather Res. Section, Toronto, ON, Canada; and J. MacLeod

P1.8

A new comparison of bulk ice water content measurements in cirrus cloud

Paul A. Barrett, Met Office, Exeter, United Kingdom

P1.9

Intercomparison of the performance of three different versions of Cloud Particle Imagers (CPIs)

Junshik Um, University of Illinois, Urbana, IL; and G. M. McFarquhar, P. J. Connolly, C. Emersic, Z. Ulanowski, and M. Gallagher

P1.10

Water Droplet Calibration of the DMT Cloud Droplet Probe (CDP) and In-Flight Performance in Liquid, Ice and Mixed-Phase Clouds during ARCPAC

Sara M. Lance, CIRES/Univ. of Colorado and NOAA, Boulder, CO; and C. A. Brock, D. Rogers, and J. Gordon

P1.11

Ultrafast thermometer UFT2 and high resoltution temperature measurements in Physics of Stratocumulus Top (POST)

Wojciech Kumala, University of Warsaw, Warsaw, Poland; and K. E. Haman, M. Kopec, and S. P. Malinowski

Handout (942.9 kB)

P1.12

Precipitation Particle Size Distributions Characterized by Video Disdrometer and Polarimetric Radar Measurements

Guifu Zhang, University of Oklahoma, Norman, OK; and Q. Cao and P. Bukovcic

P1.13

Heterogeneous freezing of droplets with immersed surface modified mineral dust particles

Susan Hartmann, Leibniz Institute for Tropospheric Research, Leipzig, Germany; and D. Niedermeier, A. Buchholz, U. Bundke, T. Clauss, P. J. DeMott, A. Kiselev, T. F. Mentel, M. D. Petters, B. Reimann, P. Reitz, J. Schneider, R. A. Shaw, B. Sierau, O. Stetzer, R. Sullivan, H. Wex, and F. Stratmann

P1.14

CCN property of Asian mineral dust particle

Katsuya Yamashita, MRI, Tsukuba, Ibaraki Pref., Japan; and T. Tajiri, M. Murakami, Y. Zaizen, and A. Saito

Handout (647.5 kB)

P1.15

Algal exudate in seawater and its influence on particle hygroscopic growth and activation

Frank Stratmann, Leibniz Institute for Tropospheric Research, Leipzig, Germany; and H. Wex, E. Fuentes, G. Tsagkogeorgas, J. Voigtländer, T. Clauss, A. Kiselev, D. Green, H. Coe, and G. McFiggans

P1.16

Experimental observation of a pH profile at an evaporating or growing vapor-liquid interface

Brian D. Swanson, Univ. of Washington, Seattle, WA; and B. Wilson

P1.17

Ice nucleation active sites: Insights from experiments with mineral dusts and bacteria

Olaf Stetzer, ETH, Zurich, Switzerland; and F. Lueoend and U. Lohmann

P1.18

A static diffusion chamber for measuring ice particle growth at low and high ice supersaturations

Jerry Y. Harrington, Penn State Univ., University Park, PA; and E. Davis, A. M. Moyle, D. Lamb, and K. Sulia

P1.19

A New Continuous Flow Diffusion Chamber for Airborne Measurement of Natural Ice Nuclei over Japan

Atsushi Saito, MRI, Tsukuba, Ibaraki, Japan; and M. Murakami

P1.20

Observation of playa salts as nuclei in orographic wave clouds

Kerri A. Pratt, University of Michigan, Ann Arbor, MI; and C. H. Twohy, S. M. Murphy, R. C. Moffet, A. J. Heymsfield, C. J. Gaston, P. J. DeMott, P. R. Field, T. R. Henn, D. C. Rogers, M. K. Gilles, J. H. Seinfeld, and K. A. Prather

P1.21

MRI cloud chamber experiments on dust aerosol and cloud interactions

Takuya Tajiri, MRI, Tsukuba, Ibaraki Pref., Japan; and K. Yamashita and M. Murakami

P1.22

Small-scale mixing at cloud top observed in a laboratory cloud chamber – preliminary results

Szymon P. Malinowski, University of Warsaw, Warsaw, Poland; and A. Górska, T. A. Kowalewski, P. Korczyk, S. Ł. Błoński, and W. Kumala

Handout (1006.6 kB)

P1.23

Evaluating assumptions that impact calculation of collision efficiencies

Jørgen B. Jensen, NCAR, Broomfield, CO; and W. A. Cooper

P1.24

Comparison of experimental and numerical studies of turbulent collision of inertial droplets and the resulting droplet size distribution

Alberto Aliseda, University of Washington, Seattle, WA; and C. Bateson, W. W. Grabowski, H. Parishani, B. Rosa, and L. P. Wang

P1.25

Experimental study on collision efficiencies and contact freezing with a new collision chamber

Luis Antonio Ladino Moreno, ETH, Zurich, Switzerland; and O. Stetzer, F. Lüönd, B. Hattendorf, D. Günther, and U. Lohmann

P1.26

Raindrop shape determined by computing steady axisymmetric solutions for Navier-Stokes equations

James Q. Feng, Boston Scientific Corporation, Maple Grove, MN; and K. V. Beard

Handout (934.2 kB)

P1.27

Laboratory studies of the fall speeds and interactions of complex ice particles

Christopher David Westbrook, Univ. of Reading, Reading, United Kingdom; and C. Roberts and A. J. Heymsfield

P1.28

Effects of riming and melting processes on the rescaled ice particle size distribution

Tempei Hashino, Univ. of Wisconsin, Madison, WI; and G. J. Tripoli

P1.29

Analysis of Particle Size Distribution using Airborne Field Campaign Observations

Lin Tian, Goddard Earth Science and Technology Center / Univ. of Maryland Baltimore County, Greenbelt, MD; and G. M. Heymsfield, A. Heymsfield, and A. Bansemer

P1.30

Laboratory measured ice crystal capacitances and mass dimensional relations

Matthew Bailey, DRI, Reno, NV; and J. Hallett

Handout (2.7 MB)

P1.31

Metamorphosis of Disk Plate Snow Crystal

Hisashi Shio, Hokkaido Univ., Kita-ku, Japan

P1.32

An observational study of changes in cloud microphysical properties through glaciogenic seeding by dry ice during the Japanese orographic snow cloud modification projects

Narihiro Orikasa, MRI, Tsukuba, Ibaraki, Japan; and M. Murakami, A. Saito, H. Ohtake, A. Ikeda, and K. Yoshida

P1.33

Studies on the Microphysical Characteristics of an Aircraft Seeding in a Complex System of the Stratiform and Embedded Convective Cloud

Zhanyu Yao, Chinese Academy of Meteorological Sciences, Beijing, China; and L. Xin, J. Pu, and H. Zhang

P1.34

Effect of hygroscopic seeding on warm rain clouds

Naomi Kuba, Japan Agency for Marin-Earth Science and Technology (JAMSTEC), Yokohama, Japan; and M. Murakami

Handout (2.9 MB)

P1.35

Evaluation of the seeded stratocumulus by aircraft by the application of CINRAD

Ruibo Zhang, Weather Modification Office of Guangxi, Nanning, Guangxi, China; and X. Zhong

P1.36

The impact of glaciogenic cloud seeding on snowfall from winter orographic clouds

Bart Geerts, University of Wyoming, Laramie, WY; and Q. Miao and Y. Yang

P1.37

The occurrence of seedable clouds in the warm season for mitigating water shortage problems

Tomoki Koshida, IDEA Consultants Inc., Yokohama, Kanagawa, Japan

Handout (80.7 kB)

P1.38

precipitation enhancement in by cloud seeding rainshadow regions of Andhra Pradesh

P1.39

The effects of aerosols and hygroscopic seeding on the development of precipitaiton in convective clouds in the Three Rivers' Headstream regions

Zongzhen Yang, Nanjing University, Nanjing, Jiangsu Province, China; and K. Zheng and B. Chen

P1.40

Numerical Experiment Comparing the Efficacies of Dryice Pellets and Liquid Carbon Dioxide for Cloud Seeding Operation

Akihiro Hashimoto, MRI, Tsukuba,Ibaraki,, Japan; and M. Murakami

P1.41

Amelioration of global warming via the modification of droplet concentrations in marine stratocumulus clouds

Laura Stevens, University of Leeds, Leeds, United Kingdom; and A. Gadian, A. Blyth, and J. Latham

P1.42

Effects of environmental temperature and humidity in future climates on ice nucleation and resulting precipitation in idealized supercell simulations

Dan K. Arthur, Purdue University, West Lafayette, IN; and S. Lasher-Trapp

P1.43

Multi-scale models for cumulus cloud dynamics

Samuel N. Stechmann, University of Wisconsin-Madison, Madison, WI; and B. Stevens

P1.44

Transition to turbulence in a conditionally unstable moist convection layer

Thomas Weidauer, Ilmenau University of Technology, Ilmenau, Germany; and J. Schumacher

P1.45

The turbulent length scale problem in cloud resolving models

Peter Bogenschutz, University of Utah, Salt Lake City, UT; and S. K. Krueger

P1.46

The effect of superparameterization on aerosol transport

Wei-Chun Hsieh, Univ. of California, Berkeley, CA; and D. Rosa and W. Collins

Handout (646.8 kB)

P1.47

Toward cloud-model assessment of the role of cloud turbulence in warm-rain development

Wojciech W. Grabowski, NCAR, Boulder, CO; and A. A. Wyszogrodzki, L. P. Wang, O. Ayala, and B. Rosa

P1.48

Modeling of cloud-aerosol interactions in warm boundary-layer clouds

Wojciech W. Grabowski, NCAR, Boulder, CO; and M. Andrejczuk and A. Gadian

P1.49

A unified theory for computing surface kinetic effects on ice vapor growth in cloud models

Chengzhu Zhang, Penn State Univ., University Park, PA; and J. Y. Harrington

Handout (625.7 kB)

P1.50

Application of a Monte Carlo integration method to collision and coagulation growth processes of hydrometeors in a bin-type model

Yousuke Sato, Univ. of Tokyo, Chiba, Japan

Handout (2.3 MB)

P1.51

Reduction of scavenging and increases in CCN concentration by electrical repulsion between droplets and particles: results from a Monte-Carlo simulation

Brian A. Tinsley, Univ. of Texas, Richardson, TX

P1.52

Large-eddy simulation of convective clouds with explicit simulation of cloud droplets via Lagrangian particles

Theres Franke, Leibniz Universität, Hannover, Germany; and S. Raasch

P1.53

Simulations of warm cloud microphysics with a particle-based multicomponent model

Lester Alfonso Sr., Universidad Autonoma de la Ciudad de Mexico, Mexico City, Mexico; and G. B. Raga and D. Baumgardner

P1.54

Multiple size-distributed populations of CCN and IFN in a 2-moment microphysical scheme of the cloud-resolving model MesoNH

Jean-Pierre Pinty, University of Toulouse/CNRS, Toulouse, France; and S. Berthet and M. Leriche

P1.55

The parameterization of primary ice habit for bulk models: Influences on mixed-phase cloud glaciation

Kara Sulia, NOAA/GFDL, Princeton, NJ; and J. Y. Harrington and H. Morrison

Handout (2.9 MB)

P1.56

A new 2-moment icemicrophysical scheme for large eddy simulations

Thijs Heus, Max Planck Institute for Meteorology, Hamburg, Germany; and B. Stevens and A. Seifert

P1.57

A novel, multiple liquid and ice hydrometeor species, hybrid- bulk/bin, three-moment microphysics parameterization scheme: Examples

Matthew S. Gilmore, University of North Dakota, Grand Forks, ND ; and J. Straka

P1.58

Upscaling microphysical process rates to the grid box size

Vincent E. Larson, Univ. of Wisconsin, Milwaukee, WI; and B. M. Griffin

Handout (109.0 kB)

P1.59

Tracking tropical cloud systems for the diagnosis of simulations by the Weather Research and Forecasting (WRF) Model

Andrew M. Vogelmann, Brookhaven National Laboratory, Upton, NY; and W. Lin, A. Cialella, E. P. Luke, M. P. Jensen, M. H. Zhang, and E. Boer

P1.60

A dynamic probability density function treatment of cloud mass and number concentrations for low level clouds in GFDL SCM/GCM

Huan Guo, NOAA/GFDL, Princeton, NJ; and J. C. Golaz, L. Donner, V. E. Larson, D. P. Schanen, and B. M. Griffin

P1.61

Improving mixed-phase cloud representation in weather and climate models

Andrew I. Barrett, University of Reading, UK, Reading, Berkshire, United Kingdom; and R. J. Hogan and R. M. Forbes

P1.62

Using a statistical representation of subgrid cloudiness to improve the Community Atmosphere Model

P1.62A

Heterogeneous ice nucleation in the ash plume of Eyjafjoll observed at two central-European EARLINET lidar sites

Patric Seifert, Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany; and S. Groß, A. Ansmann, V. Freudenthaler, A. Hiebsch, J. Schmidt, F. Schnell, M. Tesche, and M. Wiegner

P1.63

Development of a climatology for cirrus cloud ice water content and its application to climate model parameterizations

Anna E. Luebke, Forschungszentrum Juelich, Juelich, Germany; and M. Kraemer and L. M. Avallone

P1.64

Assessing the Performance of a Prognostic and a Diagnostic Cloud Scheme Using Single Column Model Simulations of TWP-ICE

Charmaine N. Franklin, CSIRO, Aspendale, Victoria, Australia; and C. Jakob, M. Dix, A. Protat, and G. Roff

Handout (1.8 MB)

P1.65

Using TWP-ICE observations with model intercomparison to improve simulations of tropical oceanic convection

Adam C. Varble, University of Utah, Salt Lake City, UT; and E. J. Zipser, A. M. Fridlind, P. Zhu, A. S. Ackerman, J. P. Chaboureau, S. Collis, J. Dudhia, J. Fan, A. Hill, P. T. May, J. P. Pinty, and A. Protat

P1.66

Does the introduction of a simple cloud-aerosol interaction improve the representation of drizzle in the operational Met Office Unified Model?

Jonathan M. Wilkinson, Met Office, Exeter, Devon, United Kingdom; and S. J. Abel and P. R. Field

Handout (511.2 kB)

P1.67

The validation of microphysics properties simulated by a cloud resolving model using an in-situ aircraft observation during a cold winter event

Hideaki Ohtake, AIST, Tsukuba, Ibaraki, Japan; and M. Murakami, N. Orikasa, A. Saito, and A. Hashimoto

Handout (515.3 kB)

P1.68

Microphysical structure of convective snow clouds simulated by an improved version of multi-dimensional bin model

Ryohei Misumi, National Research Institute for Earth Science and Disaster Resilience, Tsukuba, Japan; and A. Hashimoto, M. Murakami, N. Kuba, N. Orikasa, A. Saito, T. Tajiri, K. Yamashita, and J. P. Chen

P1.69

Ice production in a slightly supercooled layer cloud with embedded convection

Jonathan Crosier, University of Manchester, Manchester, United Kingdom; and K. N. Bower, G. L. Capes, I. Crawford, J. Dorsey, T. Choularton, A. J. Illingworth, C. Westbrook, and A. M. Blyth

P1.70

The Impact of Cloud Microphysics on Precipitation using an Integration of Observation and WRF Simulation: A Squall Line Case Study

Di Wu, University of North Dakota, Grand Forks, ND; and X. Dong, B. Xi, Z. Feng, and G. Mullendore

P1.71

Impacts of ice nucleation modes and ice crystal habits on mixed-phase cloud lifetime

Barbara Ervens, NOAA, Boulder, CO; and G. Feingold, K. Sulia, and J. Y. Harrington

P1.72

Extreme precipitation events over southern Mexico: Sensitivity of WRF simulations to cloud microphysics parameterizations

Victor Torres Puente, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico; and G. B. Raga

Handout (2.9 MB)

P1.73

Numerical experiment of lake-effect snowstorm using the WRF model coupled with spectral bin microphysics for cloud

Takamichi Iguchi, UMCP ESSIC / NASA GSFC, Greenbelt, MD; and T. Matsui, J. J. Shi, and W. K. Tao

P1.74

Profiling of Winter Storms (PLOWS): What we are learning about winter precipitation bands

Brian F. Jewett, Univ. of Illinois, Urbana, IL; and R. M. Rauber, G. McFarquhar, J. R. French, and K. R. Knupp

P1.75

The estimation of total lightning from various storm parameters: A cloud-resolving model study

Christelle Barthe, LACY (UMR 8105), Saint Denis Cedex 9, Reunion; and W. Deierling and M. C. Barth

P1.76

A 3D Modeling Study on Multi-Layer Distribution and Formation Mechanism of Electrical Charging in a severe Thunderstorm

Handout (1.0 MB)

P1.77

Variance scaling in water vapor measurements from a tall tower

Kyle G. Pressel, ETH, Zurich; and W. D. Collins and A. R. Desai

Handout (436.2 kB)

P1.78

Cloud and moist conserved variables from the A-train and comparisons to ECMWF during YOTC

Brian H. Kahn, JPL, Pasadena, CA; and J. Teixeira and E. Fetzer

P1.79

A study of the vertical structure and distribution of cloud system in China from Upper-Air Observations and CloudSat data

Yuquan Zhou Sr., Chinese Academy of Meteorological Science, Beijing, China; and J. Ou and B. Shang

P1.80

An investigation of the vertical structure of clouds over West Africa in the Met Office Unified Model using the CloudSat simulator and CloudSat observations

Thorwald Hendrik Matthias Stein, University of Reading, Reading, United Kingdom; and A. Bodas-Salcedo, R. J. Hogan, C. E. Holloway, G. Lister, and D. J. Parker

P1.81

The characteristics of clouds and precipitation over the Pacific coast of southern Mexico retrieved from satellite TRMM products

Beata Kucienska, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico; and G. B. Raga

Handout (1.2 MB)

P1.82

Global scale analysis of relations between cloud top phase and thermodynamic parameters

Jérôme Riedi, Laboratoire d'Optique Atmosphérique, Villeneuve d'Ascq, France; and S. Zeng, F. Parol, C. Cornet, and F. Thieuleux

P1.83

Challenging cloud physicists

Roland List, Prof. Roland List, Toronto, ON, Canada

Handout (877.8 kB)

P1.84