Research Highlights

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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Diagnosing Raindrop Evaporation, Breakup, and Coalescence in Vertical Radar Observations

Apr 27, 2016 Funded By: ARM ASR

In our quest to better understand precipitating cloud systems, we must realize that radars do not directly observe microphysical processes. Rather, radars observe raindrops and the changes in the number and size of those observed raindrops over time and space provide us with clues to the microphysical processes acting upon those raindrops. Thus, evaporation and [...]

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Quasi-Vertical Profiles – a New Way to Look at Polarimetric Radar Data

Apr 26, 2016 Funded By: ARM ASR

A novel methodology is introduced for processing and presenting polarimetric radar data collected by scanning weather radars. It involves azimuthal averaging of polarimetric radar variables at high antenna elevation and presenting resulting quasi-vertical profiles (QVPs) in a height-versus-time format.

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Saggy Bright Bands

Apr 26, 2016 Funded By: ARM ASR

A new technique for viewing radar observations allows for analyzing the evolution of the melting layer “bright band,” a signature associated with melting snowflakes. Radar and aircraft data demonstrate that transient bright band sagging provides information about the ice particles falling into the layer from above.

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Dependence of Entrainment in Shallow Cumulus Convection on Vertical Velocity and Distance to Cloud Edge

Apr 17, 2016 Funded By: ASR

How entrainment rates of shallow cumuli depend on environmental conditions is quantified by applying a novel Lagrangian tracking analysis on the response of shallow cumuli to an imposed small large-scale temperature perturbation, leading to a simple formulation that relates entrainment rates to vertical velocity and distance to cloud edge (or cloud size).

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The Midlatitude Continental Convective Clouds Experiment (MC3E)

Apr 11, 2016 Funded By: ARM ASR

The DOE ARM Climate Research Facility and the NASA Global Precipitation Measurement (GPM) satellite mission collaborated for the 2011 Midlatitude Continental Convective Clouds Experiment (MC3E) to collect ground- and aircraft-based measurements characterizing the four-dimensional properties of convective storms at the Southern Great Plains. Over the course of the six-week campaign, a number of storms were [...]

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