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Dr. Michael Kaplan Visiting Research Associate Professor North Carolina State University Department of Marine, Earth, and Atmospheric Sciences Raleigh, N.C. 27695 Phone: 919.515.1442 Fax: 919.515.1683 Email: mlkaplan@unity.ncsu.edu

Education

Ph.D., Atmospheric Sciences, State University of New York, Albany, 1972
M. S., Meteorology, Rutgers University, 1968
B. A., Geography, Rutgers University, 1967

Research Interests

Synoptic Scale, Mesoscale and Microscale Numerical Modeling, Synoptic Meteorology, Dynamical Meteorology, Mesoscale Meteorology, Aviation Meteorology

Selected Publications

• Kaplan, M. L., J. A. Thurman, Y.-L. Lin, A. J. Riordan and J. J. Charney, 2004: The generation mechanisms for heavy rainfall preceding the landfall of Hurricane floyd (1999). Part I: Observational analyses of synoptic scale upper- and subsynoptic scale lower-tropospheric forcing. Submitted, Mon. Wea. Rev.
  
  
• Chiao, S., Y.-L. Lin and M. L. Kaplan, 2004: Numerical study of orographic forcing of heavy precipitation during MAP IOP-2B. In press, Mon. Wea. Rev.
  
  
• Kaplan, M. L., Huffman, A. W., Lux, K. M., Charney, J. J., Riordan, A. J., and Y.-L. Lin, 2004a: Characterizing the severe turbulence environments associated with commercial aviation accidents. Part I: A 44 case study synoptic observational analyses. Meteor. Atmos. Phys., In press.
  
  
• Kaplan, M. L., A. W. Huffman, K. M. Lux, J. d. Cetola, J. J. Charney, A. J. Riordan, Y.-L. Lin, and K. T. Waight III, 2004b: Characterizing the severe turbulence environments associated with commercial aviation accidents. Part II: Hydrostatic mesoscale numerical simulations of supergradient wind flow and streamwise ageostrophic frontogenesis. Meteor. Atmos. Phys., In press.
  
  
• Kaplan, M. L., J. J. Charney, K. T. Waight III, K. M. Lux, J. D. Cetola, A. W. Huffman, S. D. Slusser, A. J. Riordan, and Y.-L. Lin, 2004c: Characterizing the severe turbulence environments associated with commercial aviation accidents. Part III: A Real-Time Turbulence Model (RTTM) designed for the operational prediction of moderate-severe turbulence environments. Submitted, Meteor. Atmos. Phys.