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Dr. Alexander Gluhovsky | |
Professor |
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E-mail: aglu@purdue.edu |
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Curriculum Vitae <pdf> |
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Associated Website(s): Climate & Extreme Weather (CLEW), Mesoscale Convection and Tornado Research Group (MCT), Climate Change and Computational Science |
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Education
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Ph.D. - USSR Academy of Sciences (Applied Mathematics)
M.S. - Moscow State University (Mathematics/Statistics)
Research Interests
- Geophysical Fluid Dynamics. Atmospheric and climate low-order models, convection, coherent structures in turbulent flows.
- Computational Statistics. Atmospheric and climate time series analysis (resampling methods, long memory, trends and extremes).
- Complexity in Atmospheric and Climate Dynamics.
Teaching Interests
- STAT 225 Introduction to Probability Models
STAT 301T Elementary Statistical Methods
STAT 350 Introduction to Statistics
STAT 416 / MA 416 Probability
MA 490 Nonlinear Dynamics
STAT 420 Introductory Time Series
STAT 503 Statistical Methods for Biology
STAT 511 Statistical Methods
ATMS 591 Chaotic Dynamics
ATMS 591 Turbulence and Dynamical Systems
EAS 591S Statistical Methods for Atmospheric Sciences
EAS 591/STAT 598 Statistics of Extremes
EAS 591/STAT 598 Trends, Extremes, and Predictability
EAS 591/STAT 598 Chaos and Complexity in Atmospheric and Climate Dynamics
EAS 591/STAT 598 Climate Time Series Analysis
Selected Publications
Gluhovsky, A., 2011: Statistical inference from atmospheric time series: detecting trends and coherent structures. Nonlin. Processes Geophys., 18, 537-544.
Fall, S., D. Niyogi, A. Gluhovsky, R. A. Pielke Sr., E. Kalnay and G. Rochon, 2010: Impacts of land surface properties on temperature trends using North American regional reanalysis over the USA. Int. J. Climatol. DOI: 10.1002/joc.1996.
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Gluhovsky, A., and E. M. Agee, 2009: Estimating higher-order moments of nonlinear time series. J. Appl. Meteorol. Climatol., 48, 1948-1954.
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Trapp, R. J., N. S. Diffenbaugh, and A. Gluhovsky, 2009: Transient response of severe thunderstorm forcing to elevated greenhouse gas concentrations, Geophys. Res. Lett ., 36, L01703, doi:10.1029/2008GL036203
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Gluhovsky, A., 2008: Subsampling methodology for the analysis of nonlinear atmospheric time series. Nonlinear Time Series Analysis in the Geosciences. Lecture Notes in Earth Sciences, Vol. 112. R. V. Donner, S. M. Barbosa, Eds., Springer, 3-16.
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Tong, C., and A. Gluhovsky, 2008: Gyrostatic extensions of the Howard-Krishnamurti model of thermal convection with shear. Nonlin. Processes in Geophys ., 15, 71-79.
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Gluhovsky, A., and E. M. Agee, 2007: On the analysis of atmospheric and climatic time series. J. Appl. Meteorol. Climatol., 46, 1125-1129.
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Gluhovsky, I., and A. Gluhovsky, 2007: Smooth location dependent bandwidth selection for local polynomial regression. J. Amer. Stat. Assoc., 102, 718-725.
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Gluhovsky, A. (2006). Energy-conserving and Hamiltonian low-order models in geophysical fluid dynamics. Nonlin. Processes Geophys., 13, 125-133.
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Gluhovsky, A, Zihlbauer, M., and Politis, D. N. (2005). Subsampling confidence intervals for parameters of atmospheric time series: block size choice and calibration. J. Statist. Computation and Simulation, 75, 381-389.
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Gluhovsky, A., and Agee, E. (2002). Improving the statistical reliability of data analysis from atmospheric measurements and modeling. Mon. Wea. Rev ., 130 , 761-765.
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Gluhovsky, A., Tong, C., and Agee, E. (2002). Selection of modes in convective low-order models. J. Atmos. Sci ., 59 , 1383-1393.
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Tong C., and Gluhovsky, A. (2002). Energy-conserving low-order models for three-dimensional Rayleigh-Bénard convection. Phys. Rev. E ., 65 , 046306 (11 pages).
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Gluhovsky, A., and C. Tong (1999). The structure of energy conserving low-order models. Phys. Fluids , 11, 334 - 343.
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Gluhovsky, A., and E. M. Agee (1994). A definitive approach to turbulence statistical studies in planetary boundary layers. J. Atmos. Sci. , 51, 1682 - 1690.
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Gledzer, E. B., A. Gluhovsky and A. M. Obukhov (1988). Modeling by cascade systems of nonlinear processes in hydrodynamics including turbulence. J. Theor. Appl. Mech. , 7, 111 - 128.
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Gluhovsky, A. (1982). Nonlinear systems that are superpositions of gyrostats. Sov. Phys. Doklady , 27, 823 - 825.
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Gluhovsky, A., and M. I. Fortus (1982). Estimating the statistical reliability of empirical orthogonal functions. Izv. Acad. Sci. USSR, Atmos. Oceanic Phys. , 18, 345 - 351.
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Gluhovsky, A., A. M. Obukhov and V. I. Klyatskin (1980). Hydrodynamic models and reversal phenomena. Atmospheric Physics and the Problem of Climate , G. S. Golitsyn and A. M. Yaglom, Eds. Nauka, Moscow, 114 - 138.
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Gluhovsky, A., 1971: Statistical description of Brownian motion of a particle in turbulent flow. Izv. Acad. Sci. USSR, Atmos. Oceanic Phys. , 7 , 687 - 690.