Sciences and Exploration Directorate

Sujung Go

(Assistant Research Scientist)


Org Code: 613

Mail Code: 613
Greenbelt, MD 20771



Assistant Research Scientist

University of Maryland Baltimore County - Baltimore, MD

March 2022 - Present

Post-doctoral Research Associate

University of Maryland Baltimore County - Baltimore, MD

March 2020 - February 2022


Ph.D., 2020.02, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea

M.S., 2014.08, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea

B.S., 2012.08, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea


Best Science Highlight, Earth Science Division (610 AT), NASA Goddard Space Flight Center, 2022

Outstanding Scientific Support, Climate and Radiation Laboratory, NASA Goddard Space Flight Center, 2022


EPIC Aerosol Retrieval Datasets for Diagnosing and Improving Aerosol Optical Treatments in the Navy Aerosol Analysis and Prediction System - NRL - Awarded: 2022-02-01

Selected Publications


Lyapustin, A., M. Choi, Y. Wang, et al. X. Xiong, A. Angal, A. Wu, D. R. Doelling, R. Bhatt, S. Go, S. V. Korkin, B. A. Franz, G. Meister, A. M. Sayer, M. O. Román, R. E. Holz, K. G. Meyer, J. F. Gleason, and R. C. Levy. 2023. Calibration of the SNPP and NOAA 20 VIIRS sensors for continuity of the MODIS climate data records Remote Sensing of Environment 295 113717 [10.1016/j.rse.2023.113717]

Go, S., A. Lyapustin, G. L. Schuster, et al. M. Choi, P. Ginoux, M. Chin, O. Kalashnikova, O. Dubovik, J. Kim, A. da Silva, B. Holben, and J. S. Reid. 2022. Inferring iron-oxide species content in atmospheric mineral dust from DSCOVR EPIC observations Atmospheric Chemistry and Physics 22 (2): 1395-1423 [10.5194/acp-22-1395-2022]

Lyapustin, A., Y. Wang, S. Go, et al. M. Choi, S. Korkin, D. Huang, Y. Knyazikhin, K. Blank, and A. Marshak. 2021. Atmospheric Correction of DSCOVR EPIC: Version 2 MAIAC Algorithm Frontiers in Remote Sensing 2 [10.3389/frsen.2021.748362]

Lim, H., S. Go, J. Kim, et al. M. Choi, S. Lee, C.-K. Song, and Y. Kasai. 2021. Integration of GOCI and AHI Yonsei aerosol optical depth products during the 2016 KORUS-AQ and 2018 EMeRGe campaigns Atmospheric Measurement Techniques 14 (6): 4575-4592 [10.5194/amt-14-4575-2021]

Lyapustin, A., S. Go, S. Korkin, et al. Y. Wang, O. Torres, H. Jethva, and A. Marshak. 2021. Retrievals of Aerosol Optical Depth and Spectral Absorption From DSCOVR EPIC Frontiers in Remote Sensing 2 [10.3389/frsen.2021.645794]

Go, S., J. Kim, S. S. Park, et al. M. Kim, H. Lim, J.-Y. Kim, D.-W. Lee, and J. Im. 2020. Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product Remote Sensing 12 (23): 3987 [10.3390/rs12233987]

Nakajima, T., M. Campanelli, H. Che, et al. V. Estellés, H. Irie, S.-W. Kim, J. Kim, D. Liu, T. Nishizawa, G. Pandithurai, V. K. Soni, B. Thana, N.-U. Tugjsurn, K. Aoki, S. Go, M. Hashimoto, A. Higurashi, S. Kazadzis, P. Khatri, N. Kouremeti, R. Kudo, F. Marenco, M. Momoi, S. S. Ningombam, C. L. Ryder, A. Uchiyama, and A. Yamazaki. 2020. An overview of and issues with sky radiometer technology and SKYNET Atmospheric Measurement Techniques 13 (8): 4195-4218 [10.5194/amt-13-4195-2020]

Go, S., J. Kim, J. Mok, et al. H. Irie, J. Yoon, O. Torres, N. A. Krotkov, G. Labow, M. Kim, J.-H. Koo, M. Choi, and H. Lim. 2020. Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements Remote Sensing of Environment 245 111759 [10.1016/j.rse.2020.111759]

Kim, J., U. Jeong, M.-H. Ahn, et al. J. H. Kim, R. J. Park, H. Lee, C. H. Song, Y.-S. Choi, K.-H. Lee, J.-M. Yoo, M.-J. Jeong, S. K. Park, K.-M. Lee, C.-K. Song, S.-W. Kim, Y. J. Kim, S.-W. Kim, M. Kim, S. Go, X. Liu, K. Chance, C. Chan Miller, J. Al-Saadi, B. Veihelmann, P. K. Bhartia, O. Torres, G. G. Abad, D. P. Haffner, D. H. Ko, S. H. Lee, J.-H. Woo, H. Chong, S. S. Park, D. Nicks, W. J. Choi, K.-J. Moon, A. Cho, J. Yoon, S.-K. Kim, H. Hong, K. Lee, H. Lee, S. Lee, M. Choi, P. Veefkind, P. F. Levelt, D. P. Edwards, M. Kang, M. Eo, J. Bak, K. Baek, H.-A. Kwon, J. Yang, J. Park, K. M. Han, B.-R. Kim, H.-W. Shin, H. Choi, E. Lee, J. Chong, Y. Cha, J.-H. Koo, H. Irie, S. Hayashida, Y. Kasai, Y. Kanaya, C. Liu, J. Lin, J. H. Crawford, G. R. Carmichael, M. J. Newchurch, B. L. Lefer, J. R. Herman, R. J. Swap, A. K. Lau, T. P. Kurosu, G. Jaross, B. Ahlers, M. Dobber, C. T. McElroy, and Y. Choi. 2019. New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) Bulletin of the American Meteorological Society 101 (1): E1-E22 [10.1175/bams-d-18-0013.1]

Mok, J., N. A. Krotkov, O. Torres, et al. H. Jethva, Z. Li, J. Kim, J.-H. Koo, S. Go, H. Irie, G. Labow, T. F. Eck, B. N. Holben, J. Herman, R. P. Loughman, E. Spinei, S. S. Lee, P. Khatri, and M. Campanelli. 2018. Comparisons of spectral aerosol single scattering albedo in Seoul, South Korea Atmospheric Measurement Techniques 11 (4): 2295-2311 [10.5194/amt-11-2295-2018]

Selected Public Outreach

Asia Pacific Commemoration of the 3rd International Day of Clean Air for blue skies

October 2022 - October 2022

Sujung Go (613/UMBC) participated as a panelist in “Asia Pacific Commemoration of the 3rd International Day of Clean Air for blue skies” on September 7, 2022. She described the transboundary air pollution monitoring capabilities from current and future Geo and Leo satellites and planned field campaigns as an opportunity to strengthen multilateral cooperation

NASA ARSET online training titled "Accessing and Analyzing Air Quality Data from Geostationary Satellites"

November 2022 - November 2022

On October 25, NASA Applied Sciences’ ARSET program completed a three-part, online training on "Accessing and Analyzing Air Quality Data from Geostationary Satellites". This intermediate-level training, offered in partnership with the National Oceanic and Atmospheric Administration (NOAA) and the National Institute Of Environmental Research (NIER, South Korea), provided an overview of geostationary capabilities for monitoring air quality around the world, introduced geostationary aerosol datasets from GOES-East, GOES-West, Himawari 8, and the Geostationary Environment Monitoring Spectrometer (GEMS), and presented data access and python tools to read and analyze the datasets. The training reached 860 participants from ~425 unique organizations across 102 countries and 38 U.S. States.