PNNL

Dr. Pengfei Shi is a Postdoctoral Researcher in the Atmospheric, Climate, and Earth Sciences Division at Pacific Northwest National Laboratory (PNNL). He earned his Ph.D. in Atmospheric Science from Tsinghua University and joined PNNL in August 2022. His research focuses on improving climate predictability and understanding climate extremes through innovative data assimilation techniques. At PNNL, Dr. Shi has contributed to developing advanced 4DEnVar-based weakly coupled land and ocean data assimilation systems in the E3SM model to advance predictability understanding of the Earth's climate system.

• Data assimilation and climate predictability
• Climate extremes: attribution and prediction
• Land-atmosphere-ocean interactions
   

• 4DEnVar-based Data Assimilation Systems: Developed and implemented 4DEnVar-based weakly coupled land and ocean data assimilation systems in the E3SM model to simulate and predict climate variability through the integration of land and ocean observations.
• Prediction and Attribution of Climate Extremes: Conducted large-ensemble model simulations using realistic land and ocean initial conditions from the data assimilation system to explore the potential predictability of extreme climate events and understand the underlying physical processes.
• Analysis on Land-Atmosphere-Ocean Interactions: Investigated feedback mechanisms between land, atmosphere, and ocean components through the newly developed weakly coupled data assimilation systems, thus contributing to improved climate modeling and prediction.

Ph.D. in Atmospheric Science, Tsinghua University, Beijing, China (9/2016 – 6/2022)

B.S. in Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, China (9/2012 – 6/2016)
 

Postdoctoral Research Associate, Pacific Northwest National Laboratory (2022 – present)

Reviewer for peer-reviewed journals including Earth System Science Data and Journal of Geophysical Research: Atmospheres

First Place Early Career Poster Award, NOAA Subseasonal and Seasonal Workshop, 2024

2024

Shi, P. F., Leung, L. R., Wang, B., Zhang, K., Hagos, S. M., and Zhang, S.: The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2[J]. Geoscientific Model Development, 2024, 17, 3025-3040.

2021

Shi, P. F., Lu, H., Leung, L. R., He, Y. J., Wang, B., et al. Significant land contributions to interannual predictability of East Asian summer monsoon rainfall[J]. Earth's Future, 2021, 9, e2020EF001762.

Shi, P. F., Wang, B., He, Y. J., Lu, H., Yang, K., et al. Contributions of weakly coupled data assimilation-based land initialization to interannual predictability of summer climate over Europe[J]. Journal of Climate, 2021, 10.1175/JCLI-D-20-0506.1.