Jennifer C Wei

Jennifer C Wei

  • AST, Earth Sciences Remote Sensing
  • Additional Roles: GES DISC DAAC Scientist
  • 301.614.6558
  • NASA/GSFC
  • Mail Code: 610.2
  • Greenbelt , MD 20771
  • Employer: NASA
  • Brief Bio

    Dr. Wei is the lead scientist at the Goddard Earth Science (GES) Data and Information Services Center (DISC), who guides the science support staff (1) to promote DISC data and services awareness to the science teams and user community, (2) to advocate the user needs from research and application communities, and (3) to broaden user community by participating science team meetings, user/application workshops, conferences, and forums. Having led multi-sensors aerosol-related projects, and involved with designing, developing and evaluating the GES DISC various data and visualization tools (such as Giovanni, Data Quality Visualization (DQViz), Subsetter and Colocation) for different user communities, she has been extended her expertise in the data science, which is critical to improve earth science data discoverability, accessibility, and usability to the holdings.
     

    Education

    Project Management Professional (PMP) coursework, 2014.
    Ph.D., Atmospheric Science, University of Illinois at Urbana-Champaign, 2002.
    M.S., Environmental Science, New Jersey Institute of Technology, 1995.
    B.S., Atmospheric Science, National Taiwan University, Taiwan, ROC, 1992.
     

    Selected Publications

    Refereed

    Liu, Z., D. Tong, J. Wei, and D. Meyer. 2021. "Integrating Data to Find Links Between Environment and Health." Eos, 102: [10.1029/2021eo158802]

    Wei, J., A. Savtchenko, B. Vollmer, et al. T. J. Hearty, A. Albayrak, D. Crisp, and A. Eldering. 2014. "Advances in CO₂ Observations From AIRS and ACOS." IEEE Geosci. Remote Sensing Lett., 11 (5): 891-895 [10.1109/LGRS.2013.2281147]

    Albayrak, R. A., J. C. Wei, M. Petrenko, C. S. Lynnes, and R. C. Levy. 2013. "Global bias adjustment for MODIS aerosol optical thickness using neural network." Journal of Applied Remote Sensing, 7 (1): 073514 [10.1117/1.JRS.7.073514]

    Adam, M., B. Demoz, D. Whiteman, et al. D. Venable, E. Joseph, A. Gambacorta, J. Wei, M. Shephard, L. Miloshevich, C. Barnet, R. Herman, J. Fitzgibbon, and R. Connell. 2010. "Water Vapor Measurements by Howard University Raman Lidar during the WAVES 2006 Campaign." J Atmos Ocea Tech, 27 (1): 42–60 [10.1175/2009JTECHA1331.1]

    Divakaria, M., M. Goldberg, E. Maddy, et al. M. Newchurch, L. Flynn, G. Labow, X. Xiong, and J. Wei. 2008. "Evaluation of atmospheric infrared sounder ozone profiles and total ozone retrievals with matched ozonesonde measurements, ECMWF ozone data, and Ozone Monitoring Instrument retrievals." J Geopohys Res, 113 (D15308, doi:101029/):

    Non-Refereed

    Shie, C.-L., A. J. Ritrivi, G.-D. Lei, et al. M. C. Greene, J. G. Acker, G. T. Alcott, A. Li, J. C. Wei, A. F. Al-Jazrawi, and D. J. Meyer. 2019. "Integrated Analysis of Multiple User Metrics - A “Sequel”; and Introducing the Google Analytic (eLightning)." The 2019 AGU Fall Meeting, 9-13 December 2019, San Francisco, CA. [Full Text (Link)]

    Shie, C.-L., G.-D. Lei, M. C. Greene, et al. J. G. Acker, G. T. Alcott, A. Li, J. C. Wei, A. F. Al-Jazrawi, and D. J. Meyer. 2018. "An Ensemble Metrics Analysis at GES DISC." The 2018 AGU Fall Meeting, 10-14 December 2018, Washington, D.C. [Full Text (Link)]

    Brief Bio

    Dr. Wei is the lead scientist at the Goddard Earth Science (GES) Data and Information Services Center (DISC), who guides the science support staff (1) to promote DISC data and services awareness to the science teams and user community, (2) to advocate the user needs from research and application communities, and (3) to broaden user community by participating science team meetings, user/application workshops, conferences, and forums. Having led multi-sensors aerosol-related projects, and involved with designing, developing and evaluating the GES DISC various data and visualization tools (such as Giovanni, Data Quality Visualization (DQViz), Subsetter and Colocation) for different user communities, she has been extended her expertise in the data science, which is critical to improve earth science data discoverability, accessibility, and usability to the holdings.
     

    Selected Publications

    Refereed

    Liu, Z., D. Tong, J. Wei, and D. Meyer. 2021. "Integrating Data to Find Links Between Environment and Health." Eos 102 [10.1029/2021eo158802]

    Wei, J., A. Savtchenko, B. Vollmer, et al. T. J. Hearty, A. Albayrak, D. Crisp, and A. Eldering. 2014. "Advances in CO₂ Observations From AIRS and ACOS." IEEE Geosci. Remote Sensing Lett. 11 (5): 891-895 [10.1109/LGRS.2013.2281147]

    Albayrak, R. A., J. C. Wei, M. Petrenko, C. S. Lynnes, and R. C. Levy. 2013. "Global bias adjustment for MODIS aerosol optical thickness using neural network." Journal of Applied Remote Sensing 7 (1): 073514 [10.1117/1.JRS.7.073514]

    Adam, M., B. Demoz, D. Whiteman, et al. D. Venable, E. Joseph, A. Gambacorta, J. Wei, M. Shephard, L. Miloshevich, C. Barnet, R. Herman, J. Fitzgibbon, and R. Connell. 2010. "Water Vapor Measurements by Howard University Raman Lidar during the WAVES 2006 Campaign." J Atmos Ocea Tech 27 (1): 42–60 [10.1175/2009JTECHA1331.1]

    Divakaria, M., M. Goldberg, E. Maddy, et al. M. Newchurch, L. Flynn, G. Labow, X. Xiong, and J. Wei. 2008. "Evaluation of atmospheric infrared sounder ozone profiles and total ozone retrievals with matched ozonesonde measurements, ECMWF ozone data, and Ozone Monitoring Instrument retrievals." J Geopohys Res 113 (D15308, doi:101029/):

    Non-Refereed

    Shie, C.-L., A. J. Ritrivi, G.-D. Lei, et al. M. C. Greene, J. G. Acker, G. T. Alcott, A. Li, J. C. Wei, A. F. Al-Jazrawi, and D. J. Meyer. 2019. "Integrated Analysis of Multiple User Metrics - A “Sequel”; and Introducing the Google Analytic (eLightning)." The 2019 AGU Fall Meeting, 9-13 December 2019, San Francisco, CA. [Full Text (Link)]

    Shie, C.-L., G.-D. Lei, M. C. Greene, et al. J. G. Acker, G. T. Alcott, A. Li, J. C. Wei, A. F. Al-Jazrawi, and D. J. Meyer. 2018. "An Ensemble Metrics Analysis at GES DISC." The 2018 AGU Fall Meeting, 10-14 December 2018, Washington, D.C. [Full Text (Link)]

                                                                                                                                                                                            
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