Members of ARM's science team are major contributors to radiation and cloud research. ARM investigators publish about 150 refereed 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. Below is a selection of summaries highlighting recently-published ARM research. The entire collection of ARM Research Highlights can be accessed using the sorting buttons at right.
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Aug 22, 2016 Funded By:
“A low cloud of water and ice – in Barrow, Alaska, how nice. Its structure was measured with ease – but why did the ice phase decrease?” For a springtime low-level mixed-phase stratiform cloud case from Barrow, Alaska, a unique combination of instruments and retrieval methods is combined with multiple modeling perspectives to determine key processes [...]
Aug 16, 2016 Funded By:
In a Global Circulation Model (GCM), cloud should form before the grid-box-mean state becomes saturated. Therefore, assumptions about sub-grid variability in temperature and water vapour are necessary, which are typically combined in the critical relative humidity (RHcrit), the relative humidity at which cloud forms a sub-saturated GCM grid box.
Aug 09, 2016 Funded By:
Scientists determined how strongly various emissions sources affected air quality in different areas of the Mexico City Metropolitan Area.
Aug 04, 2016 Funded By:
Satellite-based passive microwave (MW) liquid water path (LWP) is a fundamental quantity for climate studies, climate model validation, and validation of satellite visible/near-infrared retrievals over the oceans. Unfortunately, the lack of independent observations has prevented the evaluation of MW LWP, and thus the accuracy of satellite MW-derived LWP remains uncertain. The ship deployment of the [...]
Aug 04, 2016 Funded By:
Weather radars provide an abundant source of data related to the conditions present in the atmosphere. The Python ARM Radar Toolkit (Py-ART) allows scientists to effectively work with this data and extract scientific insights from these large data sets. Py-ART is used for analysis of weather radar data using established routines available in the [...]