Development of ensemble neural network convection parameterizations for climate models using ARM data Michael Fox-Rabinovitz1, Vladimir Krasnopolsky1,2, Phil Rasch3,Yefim Kogan4, and Alexei Belochitski1 1University of M

Source URL: asr.science.energy.gov

• Climate model
• Rain
• Atmospheric convection
• Neural network
• Content-addressable memory
• Atmospheric sciences
• Meteorology
• Atmospheric model

Comparisons of Properties in a Squall Line Between Observations and Bin Microphysics Simulations Xue, L.1, Lebo, Z.2, Fan, J.3, Bansemer, A.1, Geresdi, I.4, North, K.5, Morrison, H.1, Rasmussen, R.1, Thompson, G.1, Grabo

Source URL: asr.science.energy.gov

• Reflectivity
• Epistemology
• Philosophy of science
• Science
• Interpretation
• Scientific modelling
• Simulation

Cumulus and Aerosol Semi-Direct Effects (CASE): An exploration of atmospheric dynamics, clouds and aerosols over the Tropical Indian Ocean Rao Kotamarthi (ANL) ,S. K.Satheesh (India), Yan Feng (ANL), Virendra Ghate(ANL)

Source URL: asr.science.energy.gov

• Hanimaadhoo
• CLOUD
• Physics
• Science
• Aerosol science
• Aerosol
• Physical chemistry

Laboratory Studies of Carbonaceous Aerosols: 
 Characterization and Atmospheric Processing 
 T.B. Onasch1,2, A.T. Lambe1,2, D.R. Croasdale1, J.P. Wright1, A. T. Martin1, A.T. Ahern1,2, P. Davidovits1, P. Massoli2,


Source URL: asr.science.energy.gov

• Fire
• Black carbon
• Carbon
• Environmental science

International Filter Radiometer Comparison Results G Hodges1,2 and J Michalsky2 1University of Colorado, CIRES, Boulder, Colorado, 80309 2NOAA, Earth System Research Laboratory, Boulder, Colorado, 80305 gary.hodges@noaa.

Source URL: asr.science.energy.gov

CCN Activity and Hygroscopicity of Secondary Organic Material Scot T. Martin, Mikinori Kuwata, and Mackenzie L. Smith School of Engineering and Applied Sciences, Harvard University, Cambridge, MA ([removed]

Source URL: asr.science.energy.gov

• Hemiterpenes
• Alpha-Pinene
• Monoterpenes
• Ozonolysis
• Isoprene
• Terpene
• Chemistry
• Alkenes
• Flavors

Improving Supercooled Liquid Water Absorption Models in the Microwave Using Multi-Wavelength Ground-based Observations David Turner (National Severe Storms Lab), Stefan Kneifel (McGill Univ.), Maria Cadeddu (Argonne Nati

Source URL: asr.science.energy.gov

• Microwave
• Radio technology
• Wireless
• Telecommunications engineering
• Opacity
• Liquid water path
• Electromagnetic radiation
• Radiation
• Electromagnetic spectrum

Evaluation and Analysis of Long-Term CRM Simulations with ARM Observations Xiaoqing Wu and Sunwook Park Department of Geological and Atmospheric Sciences Iowa State University (ISU) Ames, Iowa 50011, USA

Source URL: asr.science.energy.gov

• Woodworking
• Liquid water content
• Water content
• Science
• Chemistry
• Hydrology
• Soil physics

Intercomparison of LES of Arctic mixed-phase clouds: Importance of ice size distribution assumptions Mikhail Ovchinnikov (PNNL), A Ackerman & A Fridlind (GISS), A Avramov (MIT), A Cheng (SSA), J Fan & S Ghan (PNNL), J Ha

Source URL: asr.science.energy.gov

• Glaciology
• Ice
• Minerals
• CLOUD
• Properties of water
• Microphysics
• Optical materials
• Chemistry
• Matter

Assessment of ground-based cloud liquid water profiling retrieval techniques Ulrich Löhnert (University of Cologne) Dave Donovan (KNMI) Kerstin Ebell (University of Cologne) Giovanni Martucci (Galway University)

Source URL: asr.science.energy.gov

• Drizzle
• Astex
• Liquid water path
• Microwave radiometer
• Thermodynamics
• Atmospheric thermodynamics
• Precipitation
• Liquid water content