Data Assimilation & Prediction

Peer Review Articles


Lee, E., M. Zupanski, D. Zupanski, and S.K. Park

Impact of the OMI aerosol optical depth on analysis increments through coupled meteorology-aerosol data assimilation for an Asian dust storm
Remote Sens. Environ. 193, 38-53, doi: 10.1016/j.rse.2017.02.013 [Link]

Zhang, S. Q., T. Matsui, S. Cheung, M. Zupanski, and C. Peters-Lidard

Impact of assimilated precipitation-sensitive radiances on the NU-WRF simulation of the West African monsoon
Mon. Wea. Rev, Early Online Releases. doi: 10.1175/MWR-D-16-0389.1 [Link]

Gao, X., Y. Wang, N. Overton, M. Zupanski, and X.Tu

Data-assimilated computational fluid modeling of convection-diffusion-reaction problems
J. Comp. Sci., 21, 38-59, doi: 10.1016/j.jocs.2017.05.014 [Link]

Wu, T.-C. and M. Zupanski

Assimilating GPM Hydrometeor Retrievals in HWRF: Choice of Observation Operators
Atmos. Sci. Lett., 18, 6, 238-245, doi: 10.1002/asl.748 [Link]


Boukabara, S. A., T. Zhu, H. L. Tolman, S. Lord, S. Goodman, M. Goldberg, T. Auligne, B. Pierce, L. Cucurull, M. Zupanski, M. Zhang, I. Moradi, J. Otkin, D. Santek, B. Hoover, Z. Pu, X. Zhan, C. Hain, E. Kalnay, D. Hotta, S. Nolin, E. Bayler, A. Mehra, S. P. F. Casey, D. Lindsey, L. Grasso, K. Kumar, A. Powell, J. Xu, T. Greenwald, J. Zajic, J. Li, J. Li, B. Li, J. Liu, L. Fang, P. Wang, T.-C. Chen

S4: An O2R/R2O Infrastructure for Optimizing Satellite Data Utilization In NOAA Numerical Modeling System: A Step Toward Bridging the Gap between Research and Operations
Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-14-00188.1. [Link]

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

Comparison of Gaussian, logarithmic transform and mixed Gaussian–log-normal distribution based 1DVAR microwave temperature–water-vapour mixing ratio retrievals
Q. J. Roy. Meteorol. Soc., 142: 274–286. doi: 10.1002/qj.2651 [Link]

Wu, T-.C., M. Zupanski, L. D. Grasso, C. D. Kummerow, and J. A. Knaff

The GSI Capability to Assimilate TRMM and GPM Hydrometeor Retrievals in HWRF
Q. J. Roy. Meteorol. Soc., 142, 2768-2787, doi:10.1002/qj.2867 [Link]

Zupanski, M.

Reduced rank static error covariance for high-dimensional applications
Int. J. Numer. Meth. Fluids, 83, 245–262. doi: 10.1002/fld.4264 [Link]


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

Identifying non-normal and lognormal characteristics of temperature, mixing ratio, surface pressure, and wind for data assimilation systems
Nonlin. Processes Geophys. Discuss., 2, 1363–1405 [Link]

Peters-Lidard, C.D., E. M. Kemp, T. Matsui, J. A. Santanello, Jr., S. V., Kumar, J. P. Jacob, T. Clune, W.-K. Tao, M. Chin, A. Hou, J. L. Case,, D. Kim, K.-M. Kim, W. Lau, Y. Liu, J.-J. Shi, D. Starr, Q. Tan,, Z. Tao, B. F. Zaitchik, B. Zavodsky, S. Q. Zhang, and, M. Zupanski

Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales
Environemtal Modeling & Software, 67, 149–159 [Link]