Lin Lin’s research at LLNL involves diagnosing and developing parameterizations for representing cloud microphysical processes through tying in the high-resolution DOE climate models with the DOE ARM data. Lin joined LLNL in January 2024. During her doctoral studies, she focused on cloud microphysics, aerosol-cloud interactions and model evaluation and development.

PhD Atmospheric Science, Texas A&M University, 2023

• Lin, L., X. Liu, Q. Fu, and Y. Shan (2023) Climate impacts of convective cloud microphysics in NCAR CAM5, Journal of Climate, https://doi.org/10.1175/JCLI-D-22-0136.1
• Lin, L., Q. Fu, X. Liu, Y. Shan, et al., (2021) Improved convective ice microphysics parameterization in the NCAR CAM model, Journal of Geophysical Research: Atmospheres, 126, 9, https://doi.org/10.1029/2020JD034157

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• Best Student Paper Award, Texas A&M University Department of Atmospheric Sciences     2023