Skip to Main Content U.S. Department of Energy
Energy and Environment Directorate

Wenwei Xu

Wenwei Xu

(206) 528-3403


Wenwei Xu is an Earth Scientist who is passionate about creating solutions to solve challenging scientific problems related to the earth’s environment.

Research Interests

  • Tropical Cyclones track modeling
  • Deep learning / Artificial Intelligence
  • Hydrological and hydraulics modeling
  • Geographical Information System

Education and Credentials

  • 9/11-2/14 MS, Civil and Environmental Engineering Portland State University, Portland, OR
  • 9/07-6/11 BS, Hydrology and Water Resources Engineering North China Electric Power University, Beijing, China

PNNL Publications


  • Hadjimichael A., J.J. Yoon, P. Reed, N. Voisin, and W. Xu. 2023. "Exploring the Consistency of Water Scarcity Inferences between Large-Scale Hydrologic and Node-Based Water System Model Representations of the Upper Colorado River Basin." Journal of Water Resources Planning and Management 149, no. 2:Art. No. 04022081. PNNL-SA-166032. doi:10.1061/JWRMD5.WRENG-5522
  • Zhou T., S. Kao, W. Xu, S. Gangrade, and N. Voisin. 2023. "Impacts of climate change on subannual hydropower generation: a multi-model assessment of the United States federal hydropower plant." Environmental Research Letters 18, no. 3:Art. No. 034009. PNNL-SA-177814. doi:10.1088/1748-9326/acb58d


  • Balaguru K., G.R. Foltz, L. Leung, W. Xu, D. Kim, H. Lopez, and R. West. 2022. "Increasing hurricane intensification rate near the US Atlantic coast." Geophysical Research Letters 49, no. 20:Art. No. e2022GL099793. PNNL-SA-164456. doi:10.1029/2022GL099793


  • Voisin N., J.G. O'Brien, W. Xu, D.J. Rose, and M.F. White. 2021. Water Resource Opportunities at Lake Gazivode/Ujmani. PNNL-31059. Richland, WA: Pacific Northwest National Laboratory. doi:10.2172/1783167.Water Resource Opportunities at Lake Gazivode/Ujmani
  • Xu W., K. Balaguru, A. August, N. Lalo, N.O. Hodas, M. DeMaria, and D.R. Judi. 2021. "Deep Learning Experiments for Tropical Cyclone Intensity Forecasts." Weather and Forecasting 36, no. 4:1453-1470. PNNL-SA-153486. doi:10.1175/WAF-D-20-0104.1


  • Balaguru K., G.R. Foltz, L. Leung, J. Kaplan, W. Xu, N. Reul, and B. Chapron. 2020. "Pronounced Impact of Salinity on Rapidly Intensifying Tropical Cyclones." Bulletin of the American Meteorological Society 101, no. 9:E1497-E1511. PNNL-SA-141071. doi:10.1175/BAMS-D-19-0303.1
  • Turner S., W. Xu, and N. Voisin. 2020. "Inferred inflow forecast horizons guiding reservoir release decisions across the United States." Hydrology and Earth System Sciences 24, no. 3:1275-1291. PNNL-SA-142797. doi:10.5194/hess-24-1275-2020


  • Khangaonkar T.P., A. Nugraha, W. Xu, and K. Balaguru. 2019. "Salish Sea Response to Global Climate Change, Sea Level Rise, and Future Nutrient Loads." Journal of Geophysical Research: Oceans 124, no. 6:3876-3904. PNNL-SA-143747. doi:10.1029/2018JC014670


  • Kelly P.J., L. Leung, K. Balaguru, W. Xu, B. Mapes, and B.J. Soden. 2018. "Shape of Atlantic tropical cyclone tracks and the Indian monsoon." Geophysical Research Letters 45, no. 19:10746-10755. PNNL-SA-137428. doi:10.1029/2018GL080098
  • Khangaonkar T.P., A. Nugraha, W. Xu, W. Long, L. Bianucci, A. Ahmed, and T.M. Mohamedali, et al. 2018. "Analysis of Hypoxia and Sensitivity to Nutrient Pollution in Salish Sea." Journal of Geophysical Research: Oceans 123, no. 7:4735-4761. PNNL-SA-135617. doi:10.1029/2017JC013650
  • Xu W., and S. Matzner. 2018. "Underwater Fish Detection using Deep Learning for Water Power Applications." In International Conference on Computational Science and Computational Intelligence (CSCI 2018), December 13-15, 2018, Las Vegas, NV, 313-318. Piscataway, New Jersey:IEEE. PNNL-SA-138761. doi:10.1109/CSCI46756.2018.00067


  • Khangaonkar T.P., W. Long, and W. Xu. 2017. "Assessment of Circulation and Inter-Basin Transport in the Salish Sea including Johnstone Strait and Discovery Islands Pathways." Ocean Modelling 109. PNNL-SA-122703. doi:10.1016/j.ocemod.2016.11.004


  • Xu W., and T. Khangaonkar. 2015. Temperature Model of the Pelton Round Butte Hydroelectric Project Reservoirs. . PNNL-25094. Richland, WA: Pacific Northwest National Laboratory.

Energy and Environment

Core Research Areas