DeHart, J., M. Bell, Y. Zhang, and Y.-L. Chen, 2023: Mechanisms contributing to the heavy rainfall associated with a Mei-yu front near Taiwan. Monthly Weather Review, in review.

Mykolajtchuk, P. D., K. C. Eure, D. J. Stensrud, Y. Zhang, F. Zhang, S. J. Greybush, and M. R. Kumjian, 2023: Diagnosing a missed supercell thunderstorm forecast. Weather and Forecasting, 38, 1935-1951.

Zhang, Y., 2023: Sensitivity of intrinsic error growth to large-scale uncertainty structure in a record-breaking summertime rainfall event. Journal of the Atmospheric Sciences, 80, 1415-1432.

Zhang, Y., X. Chen, and M. M. Bell, 2023: Improving short-term QPF using geostationary satellite all-sky infrared radiances: Real-time ensemble data assimilation and forecast during the PRECIP fieldcampaign. Weather and Forecasting, 38, 591-609.

Eure, K. C., P. D. Mykolajtchuk, Y. Zhang, D. J. Stensrud, F. Zhang, S. J. Greybush, and M. R. Kumjian, 2023: Simultaneous assimilation of radar and satellite observations to improve ensemble forecasts of convection initiation. Monthly Weather Review, 151, 795-813.

Zhang, Y., H. Yu, M. Zhang, Y. Yang, and Z. Meng, 2022: Uncertainties and error growth in forecasting the record-breaking rainfall in Zhengzhou, Henan on 19–20 July 2021. Science China: Earth Sciences, 65, 1903–1920.

Zhang, Y., E. E. Clothiaux, and D. J. Stensrud, 2022: Correlation structures between satellite all-sky infrared brightness temperatures and the atmospheric states at storm scales. Advances in Atmospheric Sciences, 39, 714–732.

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, 48, e2021GL096410.

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., 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.