Zhang, Y., D. J. Stensrud, C. L. Comer, B. C. Stouffer, 2025: Assimilating novel boundary layer observations from dual-polarization radars to improve lower-tropospheric moisture and torrential rainfall forecasts. Mon. Wea. Rev. , 153, 309-326. 

Johncox, M., Z. Pu, S. Zhe, 2025: Using the Fourier Neural Operator and Real-Time GOES-R Satellite Data for Precipitation Retrievals in the Southern Great Plains. Journal of Geophysical Research – Machine Learning and Computation., 2, e2024JH000531.

Stauffer, B. C., D. J. Stensrud, and Y. Zhang, 2025: Estimates of entrainment zone depth across the United States from dual-polarization WSR-88D radar observations. Mon. Wea. Rev., 153, 2829-2843.

Peng, C., and Chen, X. (2025). Mesoscale Processes Driving Offshore MCS Initiation in the South Asian Summer Monsoon: Insights from an Ensemble-Based Satellite Data Assimilation Experiment. Journal of the Atmospheric Sciences, 82, 1381-1402.

Vossepoel, F. C., G. Evensen, and P. J. van Leeuwen, 2025: Adaptive correlation- and distance-based localization for iterative ensemble smoothers in a coupled nonlinear multiscale model. Mon. Wea. Rev., 153, 2593-2609.

Hu, C-C , A. Geer, and P.J. van Leeuwen  (2025) Introducing non‐Gaussian observation errors into incremental variational data assimilation methods, QJRMS, 151.

Zhang, Y., D. J. Stensrud, and B. C. Stouffer, 2025: Examining correlation structures of planetary boundary layer height using large global ensembles. Mon. Wea. Rev.. Submitted.

Wang, Y., and X. Wang, 2025: Cost-Effective Data Assimilation Using Machine Learning: A Proof of Concept for Convective-Scale Analysis and Forecast, QJRMS. Submitted.

Johnson, A., and X. Wang, 2025: Convection-allowing ensemble-based land-atmosphere coupled background error covariance and its sampling error: A dryline case study. Mon. Wea. Rev. Submitted.

Wang, X., et al. 2025: The Multi-university Consortium for Advanced Data assimilation Research and Education (CADRE), BAMS, Submitted.