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

New perspectives on cloud regimes over the Amazon Basin

17 August 2020

Giangrande, Scott; Wang, Die

Supported by: ARM ASR

Research area: Cloud Processes

The assumptions underpinning climate model cloud-process representations are often poorly constrained by observations, especially cloud properties found in remote/under-sampled global locations. Untangling cloud–climate controls in ways suitable for ongoing model development therefore demands long-term, multi-scale, multi-sensor observations from challenging instrument deployments to capture cloud properties -- such as the recently [...]

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Long-term ARM observations provide insights into tropical deep convective cloud growth

13 August 2020

Wang, Die; Jensen, Michael

Supported by: ARM ASR

Research area: Cloud Processes

Acting as atmospheric “elevators,” tropical deep convective clouds (TDCCs) transport heat, moisture, momentum, and chemical species vertically through the depth of the troposphere, driving the large‐scale atmospheric circulation. The strength and depth of this vertical transport depends on the convective updraft size and intensity, which is impacted by detailed internal [...]

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ARM data-oriented metrics and diagnostics facilitates use of field data in climate model evaluation

5 August 2020

Zhang, Chengzhu; Xie, Shaocheng

Supported by: ARM

Research area: General Circulation and Single Column Models/Parameterizations

Climate model developers often use a set of standard metrics and diagnostics as a way of routinely assessing general model performance or judging the performance of new physical parameterizations. ARM data can help to address a range of issues, including diagnosing summertime warm bias, the metrics of convective onset, precipitation [...]

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