Pauling Fellow
Pauling Fellow

Biography

Yang Shi is an atmospheric scientist and a Linus Pauling Distinguished Postdoctoral Fellow in the Global Atmospheric Modeling group at Pacific Northwest National Laboratory (PNNL). Her research focuses on improving how Earth system models represent atmospheric aerosols and their complex interactions with radiation, clouds, and biogeochemistry.

At PNNL, Yang collaborates with Po-Lun Ma to investigate how atmospheric iron deposition influences oceanic sulfur emissions. Before joining PNNL, she was a postdoctoral associate at the Massachusetts Institute of Technology. Yang earned her PhD in atmospheric sciences from Texas A&M University and holds a BS from Nanjing University.

Research Interests

  • Aerosol modeling
  • Aerosol-cloud interactions 
  • Anthropogenic land use change
  • Ice nucleation
  • Dust
  • Secondary organic aerosols
  • Fire aerosols
  • Atmospheric chemistry 

Education

  • PhD in Atmospheric Sciences, Texas A&M University (2022)
  • MS in Atmospheric Sciences, University of Wyoming (2019)
  • BS in Atmospheric Sciences, Nanjing University (2016)

Awards and Recognitions

  • Participant in the Atmospheric Chemistry Gordon Research Seminar and Conference (2025)
  • PNNL Linus Pauling Distinguished Postdoctoral Fellowship (2025)                                               
  • ACP Outstanding Reviewer Award (2023)                                                                                               
  • TAMU Department of Atmospheric Sciences Best Student Paper Award (2022)
  • AMS Best Student Oral Presentation (second place; 2021)

Publications

Google Scholar

2025

  • Singh, J., Diao, M., Desai, N., Shi, Y., and Liu, X. (2025). Investigation of Arctic cloud properties and surface radiation based on MOSAiC shipborne observations, Journal of Geophysical Research: Atmospheres, 130, e2025JD04429. https://doi.org/10.1029/2025JD044239
  • Shi, Y., Liu, X., Wu, C., Lu, Z., Zhang, K., and Ma, P.-L. (2025). Representing anthropogenic dust from agricultural sources in E3SMv1: Implementation, evaluation, and assessment of their radiative forcing, Journal of Advances in Modeling Earth Systems, 17, e2023MS003925. https://doi.org/10.1029/2023MS003925
  • Yang, C. A., Diao, M., Shi, Y., and Liu, X. (2025). Hemispheric asymmetry of phase partition in mixed-phase clouds based on near global-scale airborne observations, Geophysical Research Letters, 52, e2025GL115946. https://doi.org/10.1029/2025GL115946
  • Shi, Y., Heald, C. L., and Val Martin, M. (2025). Future anthropogenic land use change impacts on carbonaceous aerosol and implications for climate and air quality, Geophysical Research Letters, 52, e2024GL110962. https://doi.org/10.1029/2024GL110962

2024

  • Desai, N., Diao, M., Shi, Y., and Liu, X. (2024). A Comparative Study of Cloud Properties between Northern and Southern High Latitudes based on ARM Observations and EAMv2 Simulations, Journal of Geophysical Research: Atmospheres, 130, e2024JD041588. https://doi.org/10.1029/2024JD041588
  • Barone, T., Diao, M., Shi, Y., Zhao, X., Liu, X., and Silber, I. (2024). Impacts of synoptic-scale dynamics on clouds and radiation in high southern latitudes, Journal of Geophysical Research: Atmospheres, 129, e2023JD040329. https://doi.org/10.1029/2023JD040329
  • Kim, D., Chin, M, Schuster, G., Yu, H., Takemura, T., Tuccella, P., Ginoux, P., Liu, X., Shi, Y., Matsui, H., Tsigaridis, K., Bauer, S., Kok, J., and Schulz, M. (2024). Where dust comes from: Global assessment of dust source attributions with AeroCom models, Journal of Geophysical Research: Atmospheres, 129, e2024JD041377. 

2023

  • Desai, N., Diao, M., Shi, Y., Liu, X., and Silber, I. (2023). Ship-based observations and climate model simulations of cloud phase over the Southern Ocean, Journal of Geophysical Research, 128, e2023JD38581. https://doi.org/10.1029/2023JD038581
  • Lyu, K., Liu, X., Bacmeister, J., Zhao, X., Lin, L, Shi, Y., and Sourdeval, O. (2023). Orographic cirrus and its radiative forcing in NCAR CAM6, Journal of Geophysical Research: Atmospheres, 128, e2022JD038164. https://doi.org/10.1029/2022JD038164

2022

  • Zhao, X., Liu, X., Burrows, S., DeMott, P., Diao, M., McFarquar, G., Patade, S., Phillips, V., Roberts, G., Sanchez, K., Shi, Y., and Zhang, M. (2022). Important ice processes are missed by climate models in Southern Ocean mixed-phase clouds: bridging SOCRATES observations to model developments, Journal of Geophysical Research, 128, e2022JD037513. https://doi.org/10.1029/2022JD037513
  • Ke, Z., Liu, X., Wu, M., Shan, Y., and Shi, Y. (2022). Improved dust representation and impacts on dust transport and radiative effect in CAM5, Journal of Advances in Modeling Earth Systems, 14, e2021MS002845. https://doi.org/10.1029/2021MS002845
  • Knopf, D. A., Barry, K. R., Brubaker, T. A., Jahl, L. G., Jankowsk, K. A., Li, J., Lu, Y., Monroe, L. W., Moore, K. A., Rivera-Adorno, F. A., Sauceda, K. A., Shi, Y., Tomlin, J. M., Verpuri, H. S. K., Wang, P., Lata, N. N., Levin, E. J. T., Creamean, J. M., Hill, T. C. J., China, S., Alpert, P. A., Moffet, R. C., Hiranuma, N., Sullivan, R. C., Fridlind, A. M., West, M., Riemer, N., Laskin, A., DeMott, P. J., and Liu, X. (2021). Aerosol–Ice Formation Closure: A Southern Great Plains Study. Bulletin of the American Meteorological Society, 102, E1952-E1971. https://doi.org/10.1175/BAMS-D-20-0151.1
  • Shi, Y., Liu, X., Wu, M., Zhao, X., Ke, Z., and Brown, H. (2022). Relative importance of high latitude local and long-range transported dust to Arctic ice nucleating particles and impacts on Arctic mixed-phase clouds, Atmospheric Chemistry and Physics, 22, 2909-2935. https://doi.org/10.5194/acp-22-2909-2022

2021

  • Zhao, X., Liu, X., Burrows, S., and Shi, Y. (2021). Effects of marine organic aerosols as sources of immersion-mode ice-nucleating particles on high-latitude mixed-phase clouds. Atmospheric Chemistry and Physics, 21, 2305-2327. https://doi.org/10.5194/acp-21-2305-2021

2020

  • Wu, M., Liu, X., Yu, H., Wang, H., Shi, Y., Yang, K., Darmenov, A., Wu, C., Wang, Z., Luo, T., Feng., Y., and Ke, Z. (2020). Understanding processes that control dust spatial distributions with global climate models and satellite observations. Atmospheric Chemistry and Physics, 20, 13835-13855. https://doi.org/10.5194/acp-20-13835-2020

2019

  • Shi, Y., and Liu, X. (2019). Dust radiative effects on climate by glaciating mixed‐phase clouds. Geophysical Research Letters, 46, 6128-6137. https://doi.org/10.1029/2019GL082504