Research Highlights

 

Members of the Atmospheric Radiation Measurement (ARM) user facility’s 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

Bridging the data gap in Southern Hemisphere aerosol research

17 January 2025

Fast, Jerome D

Supported by: ARM ASR

Research area: Aerosol Processes

Aerosols are known to affect cloud properties, including their formation, growth, and precipitation, which in turn influences climate over long time scales. Aerosol-cloud-interactions (ACI) depend on how their properties change together, yet few measurements capture this variability, especially in the presence of convective cloud populations that can be observed routinely [...]

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Revealing atmospheric secrets with advanced airborne data

16 January 2025

Mei, Fan

Supported by: ARM ASR

Research area: Cloud-Aerosol-Precipitation Interactions

This research addressed the challenge of using extensive, complex airborne field campaign data from the Atmospheric Radiation Measurement (ARM) user facility's Data Center to study the Earth's atmosphere more effectively. By standardizing these data into a single, easily accessible format, it simplifies data management and enables more detailed atmospheric studies. [...]

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Storm width dictates which atmospheric properties control storm depth

16 January 2025

Fast, Jerome D

Supported by: ARM ASR

Research area: Cloud Distributions/Characterizations

Storms are a primary mechanism for transporting atmospheric properties, such as trace gases, aerosols, moisture, heat, and momentum, that significantly impact weather and climate. Where these constituents are transported is modulated by storm depth; therefore, accurate prediction of this parameter affects the subsequent ability to accurately predict weather and climate. [...]

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