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.
Research
ARM’s continuous measurements and field campaigns are helping advance climate science.
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.
Publications
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
Deep learning of PBL heights using ARM SGP data
13 November 2024
Zhang, Yunyan; Su, Tianning
Supported by:
Research area: Atmospheric Thermodynamics and Vertical Structures
This study developed an advanced deep learning model to estimate the planetary boundary-layer height (PBLH) by using morning sounding data and surface meteorological conditions. By training data from Atmospheric Radiation Measurement (ARM) user facility observations, our model examines the influence of various meteorological factors on PBLH and demonstrates effectiveness across [...]
Characterizing giant storm precipitation in the central Amazon
6 November 2024
Fast, Jerome D
Supported by:
Research area: Cloud Processes
The prediction of rainfall over the Amazon rainforest by weather and climate models is highly uncertain, particularly for large rainstorms, which are commonly seen during the wet season, from March to May. Using an advanced object tracking algorithm, researchers tracked storms that were observed by satellite and then simulated them [...]