Shan Kowalski (Contractor)
Title: Research Scientist
Technical Focus Area: Atmospheric Composition, Lidar Science
Mission/Project: CALIPSO
Study Topics: Machine Learning, Remote Sensing, Satellite, Radiative Transfer
Email: shan.zeng@nasa.gov
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About:
Dr. Shan Zeng is scientific researcher at NASA Langley Research Center and a mom of two girls. She obtained her M.S. (2007) and Ph.D (2011) in atmosphere science in France. In her M.S. project, she worked with X-band and K-band Radars and in her Ph.D project, she worked with space-borne polarimeter, PARASOL. After finishing NASA’s Postdoctoral Program at NASA Langley Research Center in 2015, she became a contractor and began working with the CALIPSO (the space-borne lidar) team. She had experience working with different satellite observations, and focused on the study of clouds, aerosols and their interactions. She also had experience working on Monte Carlo radiative transfer simulations for lidar. More recently, she is interested and working on the machine learning applications to satellite data and model simulations. She enjoys exploring new research topics related to satellite remote sensing, radiative transfer, and machine learning applications.
Publication Bibliography:
Select Publications:
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Zeng, S., Omar, A., Vaughan, M., Ortiz, M., Trepte, C., Tackett, J., Yagle, J., Lucker, P., Hu, Y., Winker, D., Rodier, S., and Getzewich, B.: Identifying Aerosol Subtypes from CALIPSO Lidar Profiles Using Deep Machine Learning, Atmosphere, 12, 10, https://doi.org/10.3390/atmos12010010, 2021.
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Zeng, S., Riedi, J., Trepte, C. R., Winker, D. M., and Hu, Y.-X.: Study of global cloud droplet number concentration with A-Train satellites, Atmos. Chem. Phys., 14, 7125–7134, https://doi.org/10.5194/acp-14-7125-2014, 2014.
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Zeng, S., C. Cornet, F. Parol, J. Riedi, and F. Thieuleux, 2012: A better understanding of cloud optical thickness derived from the passive sensors MODIS/AQUA and POLDER/PARASOL in the A-Train constellation. Atmos. Chem. Phys., 12, 11 245–11
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Zeng, S., Vaughan, M., Liu, Z., Trepte, C., Kar, J., Omar, A., Winker, D., Lucker, P., Hu, Y., Getzewich, B., and Avery, M.: Application of high-dimensional fuzzy k-means cluster analysis to CALIOP/CALIPSO version 4.1 cloud–aerosol discrimination, Atmos. Meas. Tech., 12, 2261–2285, https://doi.org/10.5194/amt-12-2261-2019, 2019.
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Zeng, S., F. Parol, J. Riedi, C. Cornet, and F. Thieuleux, 2011: Examination of POLDER/PARASOL and MODIS/Aqua cloud fractions and properties representativeness. J. Climate, 24, 4435–4450
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Zeng S, Riedi J, Parol F, Cornet C and Thieuleux F, 2013: An assessment of cloud top thermodynamic phase products obtained from a-train passive and active sensors Atmos. Meas. Tech. Discuss. 6 8371–411
Professional Memberships:
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American Geophysical Union
Education/Professional Experience:
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PI, 2024, Digital Transformer Program, Building Lidar Surrogate Radiative Transfer Model for Clear Sky
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Co-I 2023-2025, CloudSat and CALIPSO Science Team, NASA, Cloud parameterization with CCCM and MERRA reanalysis data using deep machine learning method
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Senior Research Scientist, Coherent Applications, Inc. (CAI) at the NASA Langley Research Center, Hampton, USA, 2023~ Present
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Research Scientist, Science Systems and Applications, Inc. (SSAI) at the NASA Langley Research Center, Hampton, USA 2015 – 2023
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NASA Postdoc Program, Hampton, USA 2012-2015
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Ph.D. in Atmospheric Sciences and Meteorology, University of Lille 1, Lille, France, 2007 – 2011
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M.S. in Science of Atmosphere and Climate, Clermont Ferrand University, Clermont Ferrand, France, 2006 – 2007
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Third year of Engineering in Aeronautic Materials, Ecole des Mines d’Albi-Carmaux, France, 2005 – 2006
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B.S. in Atmospheric Sciences and Meteorology Nanjing University of Information Science and Technology, Nanjing, China, 2001 – 2005
Hobbies:
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Travelling, jogging, Ice skating, Pingpong, Taichi, Hiking, Cooking, Oriental medicine, Fashion, Arts.