Dr. Alexander Gluhovsky - Department of Earth, Atmospheric, and Planetary Sciences - Purdue University

Dr. Alexander Gluhovsky

Alexander Gluhosky

Professor
aglu@purdue.edu
Curriculum Vitae / Google Scholar
Associated Websites: Atmospheric ScienceClimate Change and Computational Science


Education
  • 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
  • STAT 420 Introductory Time Series
  • STAT 503 Statistical Methods for Biology
  • STAT 511 Statistical Methods
  • ATMS 591 Chaotic Dynamics
  • 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
  • EAPS 509 Data Analysis Techniques in Earth and Atmospheric Sciences
  • EAPS 310 Indroductory Statistics in Geosciences
Selected Publications - Google Scholar Page for a complete list of publications
  • Gluhovsky, A. (2017):  A gyrostatic low-order model for the El Ñino-Southern Oscillation.  Complexity, 2017, 6176045. PDF
  • Gluhovsky, A., and K. Grady (2016): Effective low-order models for atmospheric dynamics and time series analysis. Chaos: An Interdisciplinary Journal of Nonlinear Science, 26, 023119PDF
  • Gluhovsky, A. (2014) Comment on ‘‘Minimal atmospheric finite-mode models preserving symmetry and generalized Hamiltonian structures, Physica D 240 (2011) 599-606”. Physica D, 268, 118-120. PDF
  • Gluhovsky, A., and T. Nielsen (2012): Improving the actual coverage of subsampling confidence intervals in atmospheric time series analysis. Nonlin. Processes Geophys., 19, 473-477. PDF
  • Gluhovsky, A. (2011): Statistical inference from atmospheric time series: detecting trends and coherent structures. Nonlin. Processes Geophys., 18, 537-544. PDF
  • 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., 30, 1980-1993.
  • Gluhovsky, A., and E. M. Agee (2009) Estimating higher-order moments of nonlinear time series. J. Appl. Meteorol. Climatol., 48, 1948-1954.
  • 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
  • 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.
  • Gluhovsky, A., C. Tong, and E. Agee (2002) Selection of modes in convective low-order models. J. Atmos. Sci., 59,1383-1393.

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