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.
Research Highlights
Recent Highlights
Habit-dependent vapor growth modulates the macrophysical occurrence of arctic supercooled clouds
10 June 2021
Silber, Israel
Supported by:
Research area: Cloud Distributions/Characterizations
Analysis of long-term data collected at Utqiaġvik, Alaska to explore the impacts of cloud processes on the probability of finding supercooled water given cloud temperature in the topmost unseeded liquid-bearing layers indicates that habit-dependent vapor growth of ice crystals modulates the macrophysical occurrence of supercooled water in polar clouds.
Aerosol direct radiative effects at the ARM SGP and TWP sites: Clear skies
28 May 2021
Fu, Qiang
Supported by:
Research area: Radiation Processes
The objective of this project is to examine and quantify aerosol direct radiative effects (DREs) and associated uncertainties at the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) user facility's Southern Great Plains (SGP) and Tropical Western Pacific (TWP) sites under all sky conditions by taking advantage of the [...]
Investigation of turbulent entrainment mixing with high-resolution digital holography
28 May 2021
Liu, Yangang
Supported by:
Research area: Cloud-Aerosol-Precipitation Interactions
Turbulent entrainment-mixing processes have been proposed to explain outstanding cloud physics problems such as spectral broadening and rain initiation. However, investigations of these processes have been limited by the lack of high-resolution measurements and the apparent dependence of entrainment-mixing mechanisms on sampling scale. This study takes advantage of the cm-resolution [...]
Weather radar super resolution with deep learning
27 May 2021
Hardin, Joseph Clinton
Supported by:
Research area: Cloud Distributions/Characterizations
Operational constraints limit the quality of weather radar data; this is a problem when scientists need to compare the data to higher-resolution data sets or need higher resolution to display/3D reconstruction. This work demonstrates that using machine learning-based deep convolutional neural networks can enhance the resolution of already captured weather [...]
Exploring aerosol sources in the Southern Great Plains
19 May 2021
Fast, Jerome D
Supported by:
Research area: Aerosol Properties
Aerosol particles affect visibility, human health, and climate change. They also are required for cloud droplet formation, so understanding how they form is important. Researchers investigated the chemical composition and sources of aerosol at the Atmospheric Radiation Measurement (ARM) user facility’s Southern Great Plains (SGP) site. They contrasted the characteristics [...]