Staff information

PNNL Publications

2024

• Balaguru K., S. Wang, L. Leung, S.M. Hagos, B.E. Harrop, C. Chang, and S. Lubis, et al. 2024. "Influence of Eastern Pacific hurricanes on the Southwest US wildfire environment." Geophysical Research Letters 51, no. 4:Art. No. e2023GL106774. PNNL-SA-191085. doi:10.1029/2023GL106774

2023

• Wang S., L. Leung, and Y. Qian. 2023. "Projection of future fire emissions over the contiguous US using explainable artificial intelligence and CMIP6 models." Journal of Geophysical Research: Atmospheres 128, no. 14:Art. No. e2023JD039154. PNNL-SA-187176. doi:10.1029/2023JD039154

2022

• Chen X., L. Leung, S. Wang, and Z. Duan. 2022. Understanding the Physics Representation of Deep Learning Models in Environmental Applications. PNNL-33399. Richland, WA: Pacific Northwest National Laboratory. Understanding the Physics Representation of Deep Learning Models in Environmental Applications
• Wang S., Y. Qian, L. Leung, and Y. Zhang. 2022. "Interpreting machine learning prediction of fire emissions and comparison with FireMIP process-based models." Atmospheric Chemistry and Physics 22, no. 5:3445 - 3468. PNNL-SA-164115. doi:10.5194/acp-22-3445-2022

2021

• Wang S., Y. Qian, L. Leung, and Y. Zhang. 2021. "Identifying key drivers of wildfires in the contiguous US using machine learning and game theory interpretation." Earth's Future 9, no. 6:e2020EF001910. PNNL-SA-162325. doi:10.1029/2020EF001910