The Maximum Likelihood Filter with state space localization
Zupanski M, 2021: The Maximum Likelihood Filter with state space localization. Mon. Wea. Rev., 149 (10), 3505-3524.
The Maximum Likelihood Ensemble Filter for Computational Flame and Fluid Dynamics
Wang Y, Guzik S, Zupanski M, Gao X, 2021: The Maximum Likelihood Ensemble Filter for Computational Flame and Fluid Dynamics. IMA J. Appl. Math., 86, 631-661.
Detection of Non-Gaussian Behavior Using Machine Learning Techniques: A Case Study on the Lorenz 63 Model
Quantification of Optimal Choices of Parameters in Lognormal Variational Data Assimilation and Their Chaotic Behavior
All-Sky Radiance Assimilation of ATMS in HWRF: A Demonstration Study.
Wu, T.-C., M. Zupanski, L. D. Grasso, C. D. Kummerow, and S-.A. Boukabara
Improvements to cloud top brightness temperatures computed from the CRTM at 3.9 μm
Quantification of Optimal Choices of Parameters in Lognormal Variational Data Assimilation and Their Chaotic Behavior
Fletcher S., A. Kliewer, and A. S. Jones, 2018: Quantification of Optimal Choices of Parameters in Lognormal Variational Data Assimilation and Their Chaotic Behavior, DOI: 10.1007/s11004-018-9765-7