- Phone: 765.494.0670
Alex applies advances in nonlinear dynamics (low-order models, Hamiltonian fluid dynamics) and computational statistics (time series analysis, resampling and smoothing methods, extreme value theory) to problems of atmospheric dynamics and climate (convection, turbulence, coherent structures, predicatbility, weather and climate extremes).
Gluhovsky, A., and E. M. Agee, 2007: On the analysis of atmospheric and climatic time series. Journal of Applied Meteorology and Climatology 46, 1125-1129.
Gluhovsky, I., and A. Gluhovsky, 2007: Smooth location dependent bandwidth selection for local polynomial regression. Journal of the American Statistical Association 102, 718-725.
Gluhovsky, A. (2006). Energy-conserving and Hamiltonian low-order models in geophysical fluid dynamics. Nonlinear Processes in Geophysics 13, 125-133.
Gluhovsky, A., Zihlbauer, M., and Politis, D. N. (2005). Subsampling confidence intervals for parameters of atmospheric time series: block size choice and calibration. Journal of Statistical Computation and Simulation, 75, 381-389.
Gluhovsky, A., and Agee, E. (2002). Improving the statistical reliability of data analysis from atmospheric measurements and modeling. Monthly Weather Review 130 , 761-765.