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
Deep-learning-driven simulations of boundary-layer clouds
22 November 2024
Zhang, Yunyan; Su, Tianning
Supported by:
Research area: Cloud Processes
A deep-learning model was developed to simulate the daytime evolution of boundary-layer clouds using long-term observations from the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) user facility's Southern Great Plains (SGP) observatory. This model integrates early morning soundings and diurnal surface meteorological conditions to estimate hourly cloud occurrence, cloud [...]
Human-generated compounds spur particle formation over the Southern Great Plains
22 November 2024
Fast, Jerome D
Supported by:
Research area: Aerosol Processes
Atmospheric aerosol particles modulate climate and the Earth’s energy balance by scattering and absorbing sunlight. They also seed clouds, acting as cloud condensation nuclei (CCN). A key challenge in atmospheric modeling is deciphering how these aerosol particles are initially formed, known as new particle formation (NPF). NPF from nucleation of [...]
A more transparent infrared window
21 November 2024
Mlawer, Eli Jay
Supported by:
Research area: Radiation Processes
Thermal radiation emitted by the surface in the infrared spectral region from 8.0 to 12.8 µm passes relatively unimpeded through the atmosphere, allowing Earth to cool. Researchers analyzed several years of spectrally resolved radiance observations from a ground-based instrument to determine the strength of absorption in this spectral region. The [...]
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 [...]