Staff information
Biography
I have diverse interests in turbulence, supported by my background in atmospheric sciences and mechanical engineering. My primary tools include large-eddy simulation (LES), direct numerical simulation (DNS), and machine learning. My research focuses on turbulence modeling and its influence on the atmospheric boundary layer, tornadoes, and cloud-aerosol-turbulence interactions.
Research Interests
- Turbulence modeling
- Large-eddy simulation
- Direct Numerical Simulation
- Machine learning
- Boundary layer meteorology
- Mesoscale meteorology
- Cloud microphysics
Education and Credentials
- Ph.D., Meteorology and Atmospheric Science, The Pennsylvania State University
- M.S., Atmospheric Sciences, National Taiwan University
- B.S., Mechanical Engineering, National Taiwan University
- B.S., Atmospheric Sciences, National Taiwan University
Awards and Recognitions
- EBSD 2024 BESTie Award: Core Values - Impact, Pacific Northwest National Laboratory, 2024
- John C. Wyngaard Graduate Research Award, The Pennsylvania State University, 2022
PNNL Publications
2024
- Wang A., M. Ovchinnikov, F. Yang, S. Schmalfuß, and R.A. Shaw. 2024. "Designing a Convection-Cloud Chamber for Collision-Coalescence Using Large-Eddy Simulation with Bin Microphysics." Journal of Advances in Modeling Earth Systems 16, no. 1:Art. No. e2023MS003734. PNNL-SA-183698. doi:10.1029/2023MS003734
- Wang A., M. Ovchinnikov, F. Yang, W. Cantrell, J. Yeom, and R.A. Shaw. 2024. "The Dual Nature of Entrainment-Mixing Signatures Revealed through Large-Eddy Simulations of a Convection-Cloud Chamber." Journal of Atmospheric Sciences 81, no. 12:2017-2039. PNNL-SA-195624. doi:10.1175/JAS-D-24-0043.1
- Wang A., S. Krueger, S. Chen, M. Ovchinnikov, W. Cantrell, and R.A. Shaw. 2024. "Glaciation of Mixed-Phase Clouds: Insights from Bulk Model and Bin-Microphysics Large-Eddy Simulation Informed by Laboratory Experiment." Atmospheric Chemistry and Physics 24, no. 18:10245-10260. PNNL-SA-197326. doi:10.5194/acp-24-10245-2024
- Wang A., X. Yang, and M. Ovchinnikov. 2024. "An Investigation of LES Wall Modeling for Rayleigh-Bénard Convection via Interpretable and Physics-Aware Feedforward Neural Networks with DNS." Journal of the Atmospheric Sciences 81, no. 2:435-458. PNNL-SA-185473. doi:10.1175/JAS-D-23-0094.1
