Data Assimilation & Prediction

Peer Review Articles


Zupanski M, 2021: The Maximum Likelihood Filter with state space localization. Mon. Wea. Rev., 149 (10), 3505-3524.

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.


Goodliff, M., S. J. Fletcher, A. J. Kliewer, J. Forsythe, and A. S. Jones

Journal of Geophysical Research, 125, 2, 10.1029/2019JD031551


Fletcher, S. J., A. J. Kliewer, and A. S. Jones

Math Geosci (2019) 51: 187.



Wu, T.-C., M. Zupanski, L. D. Grasso, C. D. Kummerow, and S-.A. Boukabara

Mon. Wea. Rev, 147, 85–106. doi: 10.1175/MWR-D-17-0337.1



Grasso, L. D., D. T. Lindsey, Y.-J. Noh, C. O’Dell, T.-C. Wu, and F. Kong

Mon. Wea. Rev, 146, 3927–3944. doi: 10.1175/MWR-D-17-0342.1


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

Suzuki, K. and M. Zupanski

Front. Earth. Sci.



Suzuki, K., M. Zupanski, and D. Zupanski

Atmos. Sci. Lett, 18, 3, 106–111. doi: 10.1002/asl.730


Lee, Y., C. D. Kummerow, and M. Zupanski

J. Geo. Res.: Atmospheres, 122, doi: 10.1002/2017JD027637