최명제

연구분야

• Retrieval of aerosol optical properties using a multi-channel ocean color sensor onboard a geostationary satellite
• Validation and uncertainty estimation of aerosol optical properties from geostationary satellite using ground-based and other satellite-based observations
• Analysis of aerosol optical properties diurnal variation and long-range transport using a geostationary satellite
• Data assimilation of geostationary satellite aerosol optical properties with air quality modeling
• Relevance between satellite-retrieved aerosol optical properties and ground in-situ particulate matter

학력

• Ph.d. (2017) in Atmospheric Sciences, Yonsei University, Seoul, Korea
• B.Sc (2011) in Atmospheric Sciences, Yonsei University, Seoul, Korea

연구 경력

• 2017 - current : Postdoctoral researcher, Dep. of Atmospheric Sciences, Yonsei University, Seoul, Korea

수상내역 (있다면)

• NASA Group Achievement Award for “KORUS-AQ: An International Cooperative Air Quality Field Study in Korea” project, 2017.08

논문

• 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.
• 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-11-385-2018, 2018.
• 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 TANSO-CAI Measurements Onboard GOSAT, Remote Sens., 9, 687, doi:10.3390/rs9070687, 2017.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.