Research Highlights

 

Members of the Atmospheric Radiation Measurement (ARM) user facility‚Äôs science team are major contributors to radiation and cloud research. Scientists and investigators using ARM publish about 150 peer-reviewed journal articles per year, and ARM data are used in many studies published by other scientific organizations. These documented research efforts represent tangible evidence of ARM’s contribution to advances in almost all areas of atmospheric radiation and cloud research.

Recent Highlights

E3SM parameterization of aged absorbing biomass burning evaluated using ARM and ASR observations

8 November 2019

Dubey, Manvendra K.; Aiken, Allison C

Supported by: ARM ASR

Research area: General Circulation and Single Column Models/Parameterizations

The paper validated and optimized simple parameterizations of aged absorbing aerosols from biomass burning used in the E3SM model by analyzing observations of tropical and southwestern US fire plumes made by ARM campaigns. 

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Near-unity mass accommodation coefficients for low/semi-volatile organic gases into diverse aerosols

6 November 2019

Jimenez, Jose-Luis; Day, Douglas A.

Supported by: ASR

Research area: Aerosol Processes

Accommodation coefficients (α, the probability of a gas molecule sticking to a particle upon collision) were directly measured for a wide range of oxidized organic molecules and particles of different compositions, phases, and polarities. Results showed that in all cases, α was close to unity. Values of ~0.001-0.01 that have [...]

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Partitioning of organic gases to tubing: Measurements, modeling, and software for lab and field sampling

6 November 2019

Jimenez, Jose-Luis; Ziemann, Paul J

Supported by: ASR

Research area: Aerosol Processes

A variety of tubings commonly used for gas and aerosol sampling in laboratory and field measurements in the atmospheric community were tested to determine sampling delays and partitioning mechanisms for organic gases with a wide range of volatilities and functionalities. Delays were quantitatively characterized as a function of volatility and [...]

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