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
Email: yuz31@psu.edu

Education:

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

Biography:

Link to my Google Scholar

Research Interests:

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

Publications:

  • 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, in press.
  • 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.