Jennifer C Wei
(Information Technology Specialist)
| Email: | jennifer.c.wei@nasa.gov |
| Phone: | 301.614.6558 |
| Org Code: | |
| Address: |
NASA/GSFC Mail Code 619 Greenbelt, MD 20771 |
| Employer: |
Brief Bio
Dr. Wei is a highly accomplished Project Scientist for NASA's Earth Science Data and Information
Systems (ESDIS), and a respected lead scientist at the Goddard Earth Science Data and Information
Services Center (DISC). With over a decade of experience at ESDIS, she has played a critical role in
advancing the accessibility, discoverability, and usability of earth science data holdings. Her expertise
in data science and collaborative approach have led to numerous successful partnerships with leading
agencies, including NASA, NOAA, NCAR, LLNL, Argonne, and universities. Through her guidance, she has
increased awareness of NASA's earth data and services among science teams and the user community,
advocated for user needs, and expanded the user community by participating in pertinent NASA earth
science team meetings, user/application workshops, conferences, and forums. Dr. Wei's vast and
diverse scientific knowledge, coupled with her outstanding leadership, have established her as a key
figure in the field of earth sciences.
Current Projects
Federated Agency Search
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.
Publications
Refereed
2024. "Increasing aerosol optical depth spatial and temporal availability by merging datasets from geostationary and sun-synchronous satellites.", Atmospheric Measurement Techniques, 17 (18): 5455-5476 [10.5194/amt-17-5455-2024] [Journal Article/Letter]
2023. "Preface: Embracing interdisciplinary earth science: Advancing through open science, collaboration, and innovation.", Computers & Geosciences, 179 105436 [10.1016/j.cageo.2023.105436] [Journal Article/Letter]
2023. "Improving NASA’s Earth Satellite and Model Data Discoverability for Interdisciplinary Research, Applications, and Education.", Data Science Journal, 22 (1): p. 9 [https://doi.org/10.5334/dsj-2023-009] [Journal Article/Letter]
2022. "NASA Global Near-Real-Time and Research Precipitation Products for Flood Monitoring, Modeling, Assessment, and Research.", Flood Handbook , 519-540 [https://doi.org/10.1201/9780429463938] [Article in Book]
2022. "Developing Metrics for NASA Earth Science Interdisciplinary Data Products and Services.", Data Science Journal, 21 [10.5334/dsj-2022-005] [Journal Article/Letter]
2021. "Integrating Data to Find Links Between Environment and Health.", Eos, 102 [10.1029/2021eo158802] [Journal Article/Letter]
2021. "Global Satellite‐Based Precipitation Products.", Handbook of Water Harvesting and Conservation, 153-175 [10.1002/9781119478911.ch11] [Book]
2020. "Creating Data Tool Kits That Everyone Can Use.", Eos, 101 [10.1029/2020eo143953] [Magazine]
2014. "Advances in CO₂ Observations From AIRS and ACOS.", IEEE Geosci. Remote Sensing Lett., 11 (5): 891-895 [10.1109/LGRS.2013.2281147] [Journal Article/Letter]
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] [Journal Article/Letter]
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] [Journal Article/Letter]
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/): [Journal Article/Letter]
Non-Refereed
2023. "Open Source Application of Fusing Aerosol Products from GEO and LEO Satellites.", EGU General Assembly 2023, [10.5194/egusphere-egu23-7292] [Proceedings]
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] [Other]
2018. "An Ensemble Metrics Analysis at GES DISC.", The 2018 AGU Fall Meeting, 10-14 December 2018, Washington, D.C., [Full Text] [Other]