 FACULTY
Qingnong Xiao
Physical Oceanography
Associate Professor, Ph.D. Nanjing University, 1994
(727) 553-3352
My research has been devoted to assessing the impact of various observational data from radar and satellite on the predictions of mesoscale weather systems. Before joining the University of South Florida (USF) College of Marine Sciences, I was extensively involved in the development of the variational data assimilation system for the Weather Research and Forecasting (WRF) model at the National Center for Atmospheric Research (NCAR). During the past five years, I led the development of 1) a Doppler radar data assimilation algorithm in WRF 3-dimensional variational (WRF 3D-Var) data assimilation system, 2) a hurricane initialization scheme based on variational assimilation of remote sensing and synthetic observations for WRF hurricane forecast, and 3) the tangent linear and adjoint models of the advanced research WRF (ARW). As a new faculty in USF College of Marine Sciences, I have focused on ocean-atmosphere interaction emphasizing on hurricane research with coupled ocean-atmospheric modeling and data assimilation in the mesoscale. Our group has already established a coupled ocean-atmosphere modeling system using WRF and HYCOM. Constructing a coupled ocean-atmosphere data assimilation system is the next step. With coupled ocean-atmosphere modeling and data assimilation systems, we are investigating various scientific problems related to hurricane intensity and intensity change issues. It is anticipated that the fundamentals of hurricane intensity and intensity change will be better revealed through research on ocean-atmosphere interaction and data assimilation of remote sensing data from satellites and radars.
Selected Publications
Xiao, Q., X. Zhang, C. Davis J. Turlle, G. Holland, P. J. Fitxpatrick, 2009b: Experiments of hurricane initialization with airborne Doppler radar data for the Advanced-research Hurricane WRE (AHW) model. Mon. Wea. Rev., 137, 2758-2777. http://ams.allenpress.com/perlserv/?request=get-abstract&doi=10.1175%2F2009MWR2828.
Xiao, Q., L. Chen and X. Zhang, 2009a: Evaluations of BDA scheme using the Advanced Research WRF (ARW) model. J. Appl. Meteor., Climat., 48, 680-689.
Huang, X.-Y., Q. Xiao, D. M. Barker, Xin Zhang, J. Michalakes, W. Huang, T. Hendersen, J. Bray, Y.-S. Chen, Z. Ma, J. Dudhia, Y.-R. Guo, Xiaoyan Zhang, D.-J. Won, H.-C. Lin, and Y.-H. Kuo, 2009: Four-dimensional variational data assimilation for WRF: Formulation and preliminary results. Mon. Wea. Rev., 137, 299-314.
Liu, Chengsi, Q. Xiao, and Bin Wang, 2009: An Ensemble-based four-dimensional variational data assimilation scheme: Part II: Observing system simulation experiments with the Advanced Research WRF (ARW). Mon. Wea. Rev., 137, 1687-1704.
Xiao, Q., Y.-H. Kuo, Z. Ma, W. Huang, X.-Y. Huang, Xiaoyan Zhang, D. Barker, J. Michalakes, and J. Dudhia, 2008b: Application of an Adiabatic WRF adjoint to the investigation of the May 2004 McMurdo Antarctica severe wind event. Mon. Wea. Rev.,136, 3696-3713.
Xiao, Q., Eunha Lim, D.-J. Won, J. Sun, W.-C. Lee, M.-S. Lee, W.-J. Lee, J. Cho, Y.-H. Kuo, D. Barker, D.-K. Lee, and H.-S. Lee, 2008a: Doppler radar data assimilation in KMA’s operational forecasting. Bull. Amer. Meteor. Soc., 89, 39-43.
Liu, Chengsi, Q. Xiao, and Bin Wang, 2008: An Ensemble-based four-dimensional variational data assimilation scheme: Part I: Technical formulation and preliminary test. Mon. Wea. Rev., 136, 3363-3373.
Davis, C. A., W. Wang, S. Chen, Y. Chen, K. Corbosiero, M. DeMaria, J. Dudhia, G. Holland, J. Klemp, J. Michalakes, R. Rotunno, and Q. Xiao, 2008: Prediction of landfalling hurricanes with the advanced hurricane WRF model. Mon. Wea. Rev., 136, 1990-2005.
Xiao, Q., and J. Sun, 2007: Multiple radar data assimilation and short-range quantitative precipitation forecasting of a squall line observed during IHOP_2002. Mon. Wea. Rev. 135, 3381-3404.
Zhang, X.-Y., Q. Xiao, and Patrick F. Fitzpatrick, 2007: The impact of multi-satellite data on the initialization and simulation of Hurricane Lili’s (2002) rapid weakening phase. Mon. Wea. Rev., 135, 526-548.
Xiao, Q., Ying-Hwa Kuo, Juanzhen Sun, Wen-Chau Lee, D. M. Barker, and Eunha Lim, 2007: An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall. J. Appl. Meteor. Climat., 46, 14-22.
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