Mrs. Jelena Marshak

Mrs. Jelena Marshak

  • (AST, DATA ANALYSIS)
  • 301.614.5929 | 301.614.5644
  • NASA/GSFC
  • Mail Code: 610.1
  • Greenbelt , MD 20771
  • Employer: NASA
  • Brief Bio

    Support the Science Data Processing Branch within the Software Engineering Division through the collaboration with the GMAO project.  The major task consists of setting up and performing seasonal climate prediction experiments using GEOS-5 forecast system on high-end computing resources.  The GEOS-5 Atmosphere-Ocean coupled GCM near real-time coupled ensemble forecasts are conducted on a weekly to monthly basis to study seasonal climate prediction.  Previous experience includes over 20 years of scientific programming, data management, visualization, and parallel processing experience working for NASA: support for modeling studies of Arctic Ocean and high latitude oceanic climate variability including the application of parallel processing techniques, help desk activities for NCCS Thunderhead dual Xeon Beowulf Cluster Machine, compiling the first version of Hilbert-Huang Transform data analysis and visualization package of MATLAB routines.

    Positions/Employment

    5/2001 - Present

    Computer scientist

    NASA GSFC, Greenbelt, MD  
    11/1993 - 4/2001

    Sr. scientific programmer/analyst

    General Sciences Corporation, Beltsville, MD  
    5/1988 - 12/1989

    Programmer/Analyst

    Tartu Bread Co., Tartu, Estonia  
    1/1979 - 4/1988

    Programmer/Analyst

    Central Statistical Department, Tartu, Estonia  

    Education

    B.S., Computer Information Science, University of Maryland UC, USA
    M.S., B.S. Applied Mathematics, Tartu University, Estonia

    Awards

    NASA GSFC Special Act TOA Award, 2013
    NASA GSFC ISD 2006/2007 Performance Award, 2007
    NASA GSFC Five, Ten and Fifteen Year Service Awards, 2006, 2011, 2016
    NASA GSFC Performance Awards, 2003-2016
    The award in recognition of performance and service to GSC during fiscal year 2000
    The award in recognition of performance and service to GSC during fiscal year 1999

    Special Experience

    Statistical Methods and Data Analysis, Applied linear statistical models, 2009, graduate courses at Applied and Computational Mathematics, Johns Hopkins University, USA
    Ugro-Finnish Languages and German philology seminars, 1991,  Department of History-Philology Sciences, Goettingen University, Germany

    Selected Publications

    Refereed

    Kirtman, B. P., D. Min, J. M. Infanti, et al. I. J. Kinter, D. A. Paolino, Q. Zhang, H. van den Dool, S. Saha, M. Pena Mendez, E. Becker, P. Peng, P. Tripp, J. Huang, D. G. DeWitt, M. K. Tippett, A. G. Barnston, S. Li, A. Rosati, S. D. Schubert, M. Rienecker, M. J. Suarez, Z. Li, J. Marshak, Y.-K. Lim, J. Tribbia, K. Pegion, W. J. Merryfield, B. Denis, and E. F. Wood. 2014. "The North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; Phase-2 toward Developing Intraseasonal Prediction." Bull. Amer. Meteor. Soc, 95 (4): 585-601 [10.1175/BAMS-D-12-00050.1]

    Ham, Y.-G., M. M. Rienecker, M. J. Suarez, et al. Y. V. Vikhliaev, B. Zhao, J. Marshak, G. R. Vernieres, and S. D. Schubert. 2014. "Decadal prediction skill in the GEOS-5 forecast system." Clim Dyn, 42 (1-2): 1-20 [10.1007/s00382-013-1858-x]

    Brief Bio

    Support the Science Data Processing Branch within the Software Engineering Division through the collaboration with the GMAO project.  The major task consists of setting up and performing seasonal climate prediction experiments using GEOS-5 forecast system on high-end computing resources.  The GEOS-5 Atmosphere-Ocean coupled GCM near real-time coupled ensemble forecasts are conducted on a weekly to monthly basis to study seasonal climate prediction.  Previous experience includes over 20 years of scientific programming, data management, visualization, and parallel processing experience working for NASA: support for modeling studies of Arctic Ocean and high latitude oceanic climate variability including the application of parallel processing techniques, help desk activities for NCCS Thunderhead dual Xeon Beowulf Cluster Machine, compiling the first version of Hilbert-Huang Transform data analysis and visualization package of MATLAB routines.

    Selected Publications

    Refereed

    Kirtman, B. P., D. Min, J. M. Infanti, et al. I. J. Kinter, D. A. Paolino, Q. Zhang, H. van den Dool, S. Saha, M. Pena Mendez, E. Becker, P. Peng, P. Tripp, J. Huang, D. G. DeWitt, M. K. Tippett, A. G. Barnston, S. Li, A. Rosati, S. D. Schubert, M. Rienecker, M. J. Suarez, Z. Li, J. Marshak, Y.-K. Lim, J. Tribbia, K. Pegion, W. J. Merryfield, B. Denis, and E. F. Wood. 2014. "The North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; Phase-2 toward Developing Intraseasonal Prediction." Bull. Amer. Meteor. Soc 95 (4): 585-601 [10.1175/BAMS-D-12-00050.1]

    Ham, Y.-G., M. M. Rienecker, M. J. Suarez, et al. Y. V. Vikhliaev, B. Zhao, J. Marshak, G. R. Vernieres, and S. D. Schubert. 2014. "Decadal prediction skill in the GEOS-5 forecast system." Clim Dyn 42 (1-2): 1-20 [10.1007/s00382-013-1858-x]

                                                                                                                                                                                            
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