\ Hurricane Research Division of AOML/NOAA
 
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Dr. John F. Gamache
Meteorologist
Hurricane Research Division
phone: 305-361-4437
fax: 305-361-4402
john.gamache@noaa.gov

NOAA's Atlantic Oceanographic and Meteorological Laboratory
4301 Rickenbacker Causeway
Miami, FL 33149

Professional Interests

Ever since airborne Doppler radar were recognized for their ability to depict the three-dimensional wind structure of the atmosphere in a way that can initialize tropical-cyclone simulations, the highest priority for Dr. Gamache has been the improvement of the automated quality-control, analysis, and transmission of Doppler data.  

Dr. Gamache also leads the HRD radar group, which has the primary purpose of archiving and displaying the airborne radar data collected in hurricanes, evaluating their quality, and maintaining and developing software to quality-control, analyze, display, and transmit the data.  The two most significant contributions of this software is improved automation, and the assistance to all who would use the data to improve basic understanding of tropical cyclones and other weather phenomena.

 

His primary interests are:

  • Airborne Doppler observations of tropical cyclones and convective phenomena
  • Assimilation of the Doppler observations in simulations of tropical cyclones
  • Methods to improve automated quality control of airborne Doppler observations, including the structure of first-guess fields used to improve real-time de-aliasing
  • Observing System Simulation Experiments, particularly those designed to optimize collection of airborne data

Current Research Projects

    Recently Published Peer-Reviewed Papers

    1. Zhang, J.A., R.F. Rogers, P.D. Reasor, and J. Gamache. The mean kinematic structure of the tropical cyclone boundary layer and its relationship to intensity change. Monthly Weather Review, 151(1):63-84, https://doi.org/10.1175/MWR-D-21-0335 2023
    2. Fischer, M.S., P.D. Reasor, R.F. Rogers, and J.F. Gamache. An analysis of tropical cyclone vortex and convective characteristics in relation to storm intensity using a novel airborne Doppler radar database. Monthly Weather Review, 150(9):2255-2278, https://doi.org/10.1175/MWR-D-21-0223.1 2022
    3. Zawislak, J., R.F. Rogers, S.D. Aberson, G.J. Alaka, G. Alvey, A. Aksoy, L. Bucci, J. Cione, N. Dorst, J. Dunion, M. Fischer, J. Gamache, S. Gopalakrishnan, A. Hazelton, H.M. Holbach, J. Kaplan, H. Leighton, F. Marks, S.T. Murillo, P. Reasor, K. Ryan, K. Sellwood, J.A. Sippel, and J.A. Zhang. Accomplishments of NOAA’S airborne hurricane field program and a broader future approach to forecast improvement. Bulletin of the American Meteorological Society, 103(2):E311-E338, https://doi.org/10.1175/BAMS-D-20-0174.1 2022

        Awards and Honors

        July 2006NOAA Administrator's Award for the development of the algorithms and related software to enable real-time analysis and transmission of wind fields and airborne Doppler radar data collected in hurricanes to improve the initialization of the new generation of hurricane forecast modelsNOAA
        August 2012NOAA Administrator's Award for outstanding management of the G-IV Tail Doppler Radar project, enhancing NOAA’s weather forecasting and research capabilityNOAA
        April 2014Banner I. Miller Award for research described in "Performance of convection-permitting hurricane initialization and prediction during 2008-2010 with ensemble data assimilation of inner-core airborne Doppler radar observations" by Fuqing Zhang, Yonghui Weng, John Gamache, and Frank Marks, Jr.AMS
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