Research Highlights

 

Highlights will be written for high-level accomplishments and published journal articles of ASR research. Each ASR principal investigator (PI) is expected to submit at least one highlight per fiscal year.

Recent Highlights

New insights and new parameterizations for autoconversion and accretion using machine learning

20 December 2020

Chiu, J.-Y. Christine

Supported by: ARM ASR

Research area: Cloud Processes

The collision-coalescence of water drops in air is a fundamental growth process of warm rain. Precipitation can form via the autoconversion process with coalescences between cloud droplets; it can also form via the accretion process with coalescences between cloud droplet and rain drop. Improved understanding of the rate of autoconversion [...]

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Understanding the source of extremely small particles above the Amazon

14 December 2020

Fast, Jerome D

Supported by: ARM ASR

Research area: Aerosol Processes

The aerosol particles that serve as seeds for cloud formation are major drivers of global climate change, and one of the world’s largest reservoirs of aerosol particles is the high-altitude tropics. However, the sources and chemical processes that contribute to the formation of these particles remain unclear. A collaborative team of researchers addressed this problem by integrating insights from laboratory measurements, chemical transport [...]

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Exploring how land surfaces impact convection using cluster analysis

14 December 2020

Fast, Jerome D

Supported by: ARM ASR

Research area: Surface Properties

Accurately predicting the timing, location, and intensity of convection over highly populous land areas is extremely important. However, simulating these complex, highly turbulent, small-scale processes takes significant computing power. By combining real land properties, a regional numerical model, and an unsupervised machine-learning algorithm (i.e., cluster analysis) researchers identified six distinct [...]

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An extended radar relative calibration technique for research radars

25 November 2020

Hardin, Joseph Clinton

Supported by: ARM ASR

Research area: Radiation Processes

Weather radars need routine calibration to maintain high-quality performance. However, for radars located in remote regions with limited onsite monitoring, this calibration is challenging and sometimes impossible. To mitigate this, researchers at the U.S. Department of Energy (DOE) enhanced an existing method for radar calibration so it could be used [...]

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Atmospheric measurements guide model toward improved prediction of clouds

10 November 2020

Fast, Jerome D

Supported by: ARM ASR

Research area: Cloud Processes

Accurately predicting the life cycle of shallow convective clouds is a challenging task. Atmospheric models sometimes show errors when trying to reproduce realistic daytime meteorological conditions in the boundary layer, which is the turbulent zone stretching from the ground upward to roughly two kilometers into the atmosphere where shallow convective [...]

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