ARM’s continuous measurements and field campaigns are helping advance climate science.

Scientists from around the world conduct research using data from ARM’s continuous measurements and field campaigns. ARM’s contributions to atmospheric science can be seen in science publications and research highlights.

Field Campaigns

Field campaigns provide a means for scientists to augment or modify the configuration of the ARM facility to address specific science issues. Campaigns range in complexity from deploying a single instrument to deploying an ARM Mobile Facility to remote locations around the world. As a scientific user facility, any scientist can submit a proposal to do field campaigns at ARM’s atmospheric observatories.


Data from ARM’s continuous measurements and field campaigns at sites around the world are a vital asset to atmospheric researchers. Research results are published in scientific journal articles, conference publications, and presentations.

Research Highlights

Publications in scientific journals represent tangible evidence of ARM’s contribution to advances in almost all areas of atmospheric radiation and cloud research. ARM’s Research Highlights summarize recently published research results.

Recent Highlights

Fine-scale variability of surface albedo on the Southern Great Plains

27 August 2020

Fast, Jerome D

Supported by: ARM ASR

Research area: Surface Properties

Sunlight reflected by the Earth’s surface, known as surface albedo, has a large impact on the amount of energy available to warm the surface or evaporate standing water and moisture trapped in the soil. Surface albedo data are commonly obtained from tower, aircraft, and satellite observations. Each approach has advantages [...]

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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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