Yunji Zhang

Yunji Zhang

  • Assistant Research Professor
  • Assistant Director, Penn State Center for Advanced Data Assimilation and Predictability Techniques
624 Walker Building
University Park, PA 16802


  1. 2010 - 2016: Ph. D. in Meteorology, Peking University, China
  2. 2006 - 2010: B. S. in Atmospheric Sciences, Peking University, China


Link to my CV

Link to my Google Scholar

Research Interests:

  • Severe thunderstorms, mesoscale convective systems, and tropical cyclones
  • Ensemble-based data assimilation and numerical weather prediction
  • Predictability of severe weather events


  • Zhang, Y., S. B. Sieron, Y. Lu, X. Chen, R. G. Nystrom, M. Minamide, M.-Y. Chan, C. M. Hartman, Z. Yao, J. H. Ruppert, Jr., A. Okazaki, S. J. Greybush, E. E. Clothiaux, and F. Zhang, 2021: Ensemble-based assimilation of satellite all-sky microwave radiances improves intensity and rainfall predictions of Hurricane Harvey (2017). Geophysical Research Letters, doi: 10.1029/2021GL096410.
  • Zhang, Y., X. Chen, and Y. Lu, 2021: Structure and dynamics of ensemble correlations for satellite all-sky observations in an FV3-based global-to-regional nested convection-permitting ensemble forecast of Hurricane Harvey. Monthly Weather Review, 149, 2409–2430.
  • Zhang, Y., E. E. Clothiaux, and D. J. Stensrud, 2021: Correlation structures between satellite all-sky infrared brightness temperatures and the atmospheric states at storm scales. Advances in Atmospheric Sciences, doi: 10.1007/s00376-021-0352-3.
  • Zhang, Y., D. J. Stensrud, and E. E. Clothiaux, 2021: Benefits of the Advanced Baseline Imager (ABI) for ensemble-based analysis and prediction of severe thunderstorms. Monthly Weather Review, 149, 313–332.
  • Meng, Z., F. Zhang, D. Luo, Z. Tan, J. Fang, J. Sun, X. Shen, Y. Zhang, S. Wang, W. Han, K. Zhao, L. Zhu, Y. Hu, H. Xue, Y. Ma, L. Zhang, J. Nie, R. Zhou, S. Li, H. Liu, Y. Zhu, 2019: Review of Chinese atmospheric science research over the past 70 years: Synoptic meteorology. Science China: Earth Sciences, 62, 1946–1991.
  • Zhang, Y., D. J. Stensrud, and F. Zhang, 2019: Simultaneous assimilation of radar and all-sky satellite radiance observations for convection-allowing ensemble analysis and prediction of severe thunderstorms. Monthly Weather Review, 147, 4389–4409.
  • Hayatbini, N., K.-L. Hsu, S. Sorroshian, Y. Zhang, and F. Zhang, 2019: Effective cloud detection and segmentation using a gradient-based algorithm for satellite imagery; Application to improve PERSIANN-CCS. Journal of Hydrometeorology, 20, 901–913.
  • Bai, L., Z. Meng, Y. Huang, Y. Zhang, S. Niu, and T. Su, 2019: Convection initiation resulting from the interaction between a quasi-stationary dryline and intersecting gust fronts: A case study. Journal of Geophysical Research, 124, 2379–2396.
  • Zhang Y., F. Zhang, and D. J. Stensrud, 2018: Assimilating all-sky infrared radiances from GOES-16 ABI using an ensemble Kalman filter for convection-allowing severe thunderstorms prediction. Monthly Weather Review, 146, 3363–3381.
  • Pan, J., D. Teng, F. Zhang, L. Zhou, L. Luo, Y. Weng, and Y. Zhang, 2018: Dynamics of local extreme rainfall of super Typhoon Soudelor (2015) in East China. Science China Earth Sciences, 61, 572–594.
  • Zhang, Y., and F. Zhang, 2018: A review on the ensemble-based data assimilations for severe convective storms. Advances in Meteorological Science and Technology (in Chinese), 8, 38–52.
  • Zhang, Y., F. Zhang, D. J. Stensrud, and Z. Meng, 2016: Intrinsic predictability of the tornadic thunderstorm event in Oklahoma on 20 May 2013 at storm scales. Monthly Weather Review, 144, 1271–1298.
  • Zhu, L., Q. Wan, X. Shen, Z. Meng, F. Zhang, Y. Weng, J. Sippel, Y. Gao, Y. Zhang, and J. Yue, 2016: Prediction and predictability of high-impact western Pacific landfalling tropical cyclone Vicente (2012) through convection-permitting ensemble assimilation of Doppler radar velocity. Monthly Weather Review, 144, 21–43.
  • Zhang, Y., F. Zhang, D. J. Stensrud, and Z. Meng, 2015: Practical predictability of the 20 May 2013 tornadic thunderstorm event in Oklahoma: Sensitivity to synoptic timing and topographical influence. Monthly Weather Review, 143, 2973–2997.
  • Zhang, Y., Z. Meng, F. Zhang, and Y. Weng, 2014: Predictability of tropical cyclone intensity evaluated through 5-yr forecasts with a convection-permitting regional-scale model in the Atlantic Basin. Weather and Forecasting, 29, 1003–1023.
  • Meng, Z., D. Yan, and Y. Zhang, 2013: General features of squall lines in East China. Monthly Weather Review, 141, 1629–1647.
  • Meng, Z., and Y. Zhang, 2012: On the squall lines preceding landfalling tropical cyclones in China. Monthly Weather Review, 140, 445–470.