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 Laboratory Studies And Atmospheric Observations: People
Myungje  Choi's Picture
Jet Propulsion Laboratory
M/S 183-928A
4800 Oak Grove Drive
Pasadena, CA 91109
Curriculum Vitae:

Myungje Choi

  • Ph.D., Atmospheric sciences, Yonsei University, South Korea (2017)
  • B.S., Atmospheric sciences, Yonsei University, South Korea (2011)

Research Interests
  • Quantification of the information contents and uncertainty characteristics of aerosol microphysical and optical properties, and the vertical distribution of aerosols using hyperspectral remote sensing measurement with observing system simulation experiment (OSSE)
  • Retrieval of aerosol optical properties using a multi-channel ocean color sensor onboard a geostationary satellite and analysis of aerosol optical properties diurnal variation and long-range transport using low earth orbit and geostationary orbit satellites

Professional Experience
  • Jet Propulsion Laboratory (2018 - Present)
    • JPL Post-doc Scholar, Laboratory Studies And Atmospheric Observations (2018 - Present)
  • Yonsei University, South Korea (2011-2018)
    • Post-doc: Department of Atmospheric Sciences (2017 - 2018)
    • Graduate research and teaching assistant (2011 - 2017)

Selected Awards
  • Yonsei University Certificate of Merit Award for the Doctoral thesis (2018)
  • NASA Group Achievement Award for 2016 KORUS-AQ campaign (2017)
  • Yonsei University Graduated with High Honors Award (2011)
  • Lotte Scholarship for undergraduate and graduate (2009-2013)

Selected Publications
  1. Goto, D., Kikuchi, M., Suzuki, K., Hayasaki, M., Yoshida, M., Nagao, T. M., Choi, M., Kim, J., Sugimoto, N., Shimizu, A., Oikawa, E., and Nakajima, T.: Aerosol model evaluation using two geostationary satellites over East Asia in May 2016, Atmospheric Research, 217, 93-113, doi:10.1016/j.atmosres.2018.10.016, 2019.
  2. Lennartson, E. M., Wang, J., Gu, J., Castro Garcia, L., Ge, C., Gao, M., Choi, M., Saide, P. E., Carmichael, G. R., Kim, J., and Janz, S. J.: Diurnal variation of aerosol optical depth and PM2.5 in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model, Atmos. Chem. Phys., 18, 15125-15144, doi:10.5194/acp-18-15125-2018, 2018.
  3. Lee, S., Hong, J., Cho, Y., Choi, M., Kim, J., Park, S. S., Ahn, J. Y., Kim, S. K., Moon, K. J., Eck, T. F., Holben, B. N., and Koo, J. H.: Characteristics of Classified Aerosol Types in South Korea during the MAPS-Seoul Campaign, Aerosol and Air Quality Research, 18, 2195-2206, doi:10.4209/aaqr.2017.11.0474, 2018.
  4. Eck, T. F., Holben, B. N., Reid, J. S., Xian, P., Giles, D. M., Sinyuk, A., Smirnov, A., Schafer, J. S., Slutsker, I., Kim, J., Koo, J.-H., Choi, M., Kim, K. C., Sano, I., Arola, A., Sayer, A. M., Levy, R. C., Munchak, L. A., O'Neill, N. T., Lyapustin, A., Hsu, N. C., Randles, C. A., Da Silva, A. M., Buchard, V., Govindaraju, R. C., Hyer, E., Crawford, J. H., Wang, P., and Xia, X.: Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing, J Geophys Res-Atmos, 123, 5560-5587, doi:10.1029/2018JD028313, 2018.
  5. Lim, H., Choi, M., Kim, J., Kasai, Y., and Chan, P.: AHI/Himawari-8 Yonsei Aerosol Retrieval (YAER): Algorithm, Validation and Merged Products, Remote Sens-Basel, 10, 699, doi:10.3390/rs10050699, 2018.
  6. Holben, B. N., Kim, J., Sano, I., Mukai, S., Eck, T. F., Giles, D. M., Schafer, J. S., Sinyuk, A., Slutsker, I., Smirnov, A., Sorokin, M., Anderson, B. E., Che, H., Choi, M., Crawford, J. H., Ferrare, R. A., Garay, M. J., Jeong, U., Kim, M., Kim, W., Knox, N., Li, Z., Lim, H. S., Liu, Y., Maring, H., Nakata, M., Pickering, K. E., Piketh, S., Redemann, J., Reid, J. S., Salinas, S., Seo, S., Tan, F., Tripathi, S. N., Toon, O. B., and Xiao, Q.: An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks, Atmos. Chem. Phys., 18, 655-671, doi:10.5194/acp-18-655-2018, 2018.
  7. Choi, M., Kim, J., Lee, J., Kim, M., Park, Y.-J., Holben, B., Eck, T. F., Li, Z., and Song, C. H.: GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia, Atmos. Meas. Tech., 11, 385-408, doi:10.5194/amt-11385-2018, 2018.
  8. Lee, S., Kim, M., Choi, M., Go, S., Kim, J., Kim, J.-H., Lim, H.-K., Jeong, U., Goo, T.-Y., Kuze, A., Shiomi, K., and Tatsuya, Y.: Aerosol Property Retrieval Algorithm over Northeast Asia from TANSOCAI Measurements Onboard GOSAT, Remote Sens., 9, 687, doi:10.3390/rs9070687, 2017.
  9. Go, S., Kim, M., Kim, J., Park, S., Jeong, U., and Choi, M.: Detection of Absorbing Aerosol Using Single Near-UV Radiance Measurements from a Cloud and Aerosol Imager, Remote Sens., 9, 378, doi:10.3390/rs9040378, 2017.
  10. Choi, M., Kim, J., Lee, J., Kim, M., Park, Y.-J., Jeong, U., Kim, W., Hong, H., Holben, B., Eck, T. F., Song, C. H., Lim, J.-H., and Song, C.-K.: GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign, Atmos. Meas. Tech., 9, 1377-1398, doi:10.5194/amt-9-1377-2016, 2016.
  11. Xiao, Q., Zhang, H., Choi, M., Li, S., Kondragunta, S., Kim, J., Holben, B., Levy, R. C., and Liu, Y.: Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer observations over East Asia, Atmos. Chem. Phys., 16, 1255-1269, doi:10.5194/acp-16-1255-2016, 2016.
  12. Lee, S., Song, C. H., Park, R. S., Park, M. E., Han, K. M., Kim, J., Choi, M., Ghim, Y. S., and Woo, J.-H.: GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia, Geosci. Model Dev., 9, 17-39, doi:10.5194/gmd-9-17-2016, 2016.
  13. Xu, J.-W., Martin, R. V., van Donkelaar, A., Kim, J., Choi, M., Zhang, Q., Geng, G., Liu, Y., Ma, Z., Huang, L., Wang, Y., Chen, H., Che, H., Lin, P., and Lin, N.: Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument, Atmos. Chem. Phys., 15, 13133-13144, doi:10.5194/acp-15-13133-2015, 2015.
  14. Saide, P. E., Kim, J., Song, C. H., Choi, M., Cheng, Y., and Carmichael, G. R.: Assimilation of next generation geostationary aerosol optical depth retrievals to improve air quality simulations, Geophys. Res. Lett., 41, 9188-9196, doi:10.1002/2014GL062089, 2014.

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