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Peer Review Articles

2017

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]

2016

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]

2015

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]