2024

Ahmad, N., Lin, C., Lau, A. K. H., Kim, J., Zhang, T., Yu, F., Li, C., Li, Y., Fung, J. C. H., & Lao, X. Q. (2024). Estimation of Ground-Level NO2 and its Spatiotemporal Variations in China Using GEMS Measurements and a Nested Machine Learning Model. Atmospheric Chemistry and Physics, 24(16), 9645-9665. https://doi.org/10.5194/acp-24-9645-2024

Cho, Y., Kim, J., Go, S., Kim, M., Lee, S., Kim, M., Chong, H., Lee, W.-J., Lee, D.-W., Torres, O., & Park, S. S. (2024). First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia. Atmospheric Measurement Techniques Discussions, 2023, 1-29. https://doi.org/10.5194/amt-17-4369-2024

Choi, H., Liu, X., Jeong, U., Chong, H., Kim, J., Ahn, M. H., Ko, D. H., Lee, D.-W., Moon, K.-J., & Lee, K.-M. (2024). Geostationary Environment Monitoring Spectrometer (GEMS) polarization characteristics and correction algorithm. Atmospheric Measurement Techniques, 17(1), 145-164. https://doi.org/10.5194/amt-17-145-2024

Choi, M., Lyapustin, A., Schuster, G. L., Go, S., Wang, Y., Korkin, S., Kahn, R., Reid, J. S., Hyer, E. J., Eck, T. F., Chin, M., Diner, D. J., Kalashnikova, O., Dubovik, O., Kim, J., & Hans Moosmüller (2024). Light-absorbing black carbon and brown carbon components of smoke aerosol from DSCOVR EPIC measurements over North America and central Africa. Atmospheric Chemistry and Physics, 24(18), 10543-10565. https://doi.org/10.5194/acp-24-10543-2024

Chong, H., Abad, G. G., Nowlan, C. R., Miller, C. C., Saiz-Lopez, A., Fernandez, R. P., Kwon, H.-A., Ayazpour, Z., Wang, H., Souri, A. H., Liu, X., Chance, K., O'Sullivan, E., Kim, J., Koo, J.-H., Simpson, W. R., Hendrick, F., Querel, R., Jaross, G., Seftor, C., & Suleiman, R. M. (2024). Global retrieval of stratospheric and tropospheric BrO columns from OMPS-NM onboard the Suomi-NPP satellite. Atmospheric Measurement Techniques, 17(9), 2873-2916. https://doi.org/10.5194/amt-17-2873-2024

Chong, H., Lee, W.-J., Jung, H.-S., Kim, J., Cho, Y., & Abad, G. G. (2024). A Robust Bad-Pixel Radiance Reconstruction for the Geostationary Environment Monitoring Spectrometer (GEMS) - Influences on Aerosol Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-15. https://doi.org/10.1109/TGRS.2024.3369056

Edwards, D. P., Sara Martínez-Alonso, Jo, D. S., Ortega, I., Emmons, L. K., Orlando, J. J., Worden, H. M., Kim, J., Lee, H., Park, J., & Hon, H. (2024). A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument. Atmospheric Measurement Techniques, 17(17), 5147-5159. https://doi.org/10.5194/amt-17-5147-2024

Edwards, D. P., Sara Martínez-Alonso, Jo, D. S., Ortega, I., Emmons, L. K., Orlando, J. J., Worden, H. M., Kim, J., Lee, H., Park, J., & Hong, H. (2024). Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations. Atmospheric Chemistry and Physics, 24, 8943–8961. https://doi.org/10.5194/acp-24-8943-2024

He, Q., Qin, K., Cohen, J., Li, D., & Kim, J. (2024). Quantifying Uncertainty in ML-derived Atmosphere Remote Sensing: Hourly Surface NO2 Estimation with GEMS. Geophysical Research Letters, 51(18), Article e2024GL110468. https://doi.org/10.1029/2024GL110468

Kang, M., Ahn, M.-H., Lee, Y., Ko, D. H., Eo, M., & Kim, J. (2024). On-Orbit Correction of Bi-Directional Transmittance Distribution Function (BTDF) of Geostationary Environment Monitoring Spectrometer (GEMS). IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2024.3510337

Kim, B.-R., Kim, G., Cho, M., Choi, Y.-S., & Kim, J. (2024). First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer. Atmospheric Measurement Techniques, 17(2), 453-470. https://doi.org/10.5194/amt-17-453-2024

Kim, E., Kim, B.-U., Kim, H. C., Liu, Y., Kang, Y. H., Jacob, D. J., Kim, Y. P., Woo, J.-H., Kim, J., Wang, S., & Yoo, C. (2024). North Korean CO emissions reconstruction using DMZ ground observations, TROPOMI space-borne data, and the CMAQ air quality model. Science of The Total Environment, 921, 171059. https://doi.org/10.1016/j.scitotenv.2024.171059

Kim, M., Kim, J., Lim, H., Lee, S., Cho, Y., Lee, Y.-G., Go, S., & Lee, K. (2024). Aerosol optical depth data fusion with Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT-2) instruments GEMS, AMI, and GOCI-II: statistical and deep neural network methods. Atmospheric Measurement Techniques, 17(14), 4317-4335. https://doi.org/10.5194/amt-17-4317-2024

Kim, S., Cho, Y., Ki, H., Park, S., Oh, D., Lee, S., Cho, Y., Kim, J., Lee, W., Park, J., Jin, I. H., & Kang, S. (2024). Improved mean field estimates from the Geostationary Environment Monitoring Spectrometer (GEMS) Level-3 aerosol optical depth (L3 AOD) product: using spatiotemporal variability. Atmospheric Measurement Techniques, 17(17), 5221-5241. https://doi.org/10.5194/amt-17-5221-2024

Lee, G. T., Park, R. J., Kwon, H.-A., Ha, E. S., Lee, S. D., Shin, S., Ahn, M.-H., Kang, M., Choi, Y.-S., Kim, G., Lee, D.-W., Kim, D.-R., Hong, H., Langerock, B., Vigouroux, C., Lerot, C., Hendrick, F., Pinardi, G., Smedt, I. D., Roozendael, M. V., Wang, P., Chong, H., Cho, Y., & Kim, J. (2024). First evaluation of the GEMS formaldehyde retrieval algorithm against TROPOMI and ground-based column measurements during the in-orbit test period. Atmospheric Chemistry and Physics, 24(8), 4733-4749. https://doi.org/10.5194/acp-24-4733-2024

Lee, J., Cho, Y., Lee, S., Kim, J., & Park, Y.-J. (2024). Near-real-time hourly PM2.5 prediction over East Asia using geostationary satellite products and machine learning. Atmospheric Environment, 334, 120700. https://doi.org/10.1016/j.atmosenv.2024.120700

Liu, X., Turner, J. R., Oxford, C. R., McNeill, J., Walsh, B., Roy, E. L., Weagle, C. L., Stone, E., Zhu, H., Liu, W., Wei, Z., Hyslop, N. P., Giacomo, J., Dillner, A. M., Salam, A., Hossen, A.-A., Islam, Z., Abboud, I., Akoshile, C., Omar Amador-Muñoz, Anh, N. X., Asfaw, A., Balasubramanian, R., Chang, R. Y.-W., Coburn, C., Dey, S., Diner, D. J., Dong, J., Farrah, T., Gahungu, P., Garland, R. M., Mora, M. G. D. L., Hasheminassab, S., John, J., Kim, J., Kim, J. S., Langerman, K., Lee, P.-C., Tripathi, S. N., Windwer, E., Wu, M.-T., Zhang, Q., Brauer, M., Rudich, Y., & Martin, R. V. (2024). Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications. ACS Es&t Air, 1(4), 283-293. https://doi.org/10.1021/acsestair.3c00069

Yan, X., Zang, Z., Li, Z., Chen, H. W., Chen, J., Jiang, Y., Chen, Y., He, B., Zuo, C., Nakajima, T., & Kim, J. (2024). Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS. Atmospheric Measurement Techniques, 17(20), 6163-6191. https://doi.org/10.5194/amt-17-6163-2024

Yan, X., Zang, Z., Li, Z., Chen, H. W., Chen, J., Jiang, Y., Chen, Y., He, B., Zuo, C., Nakajima, T., & Kim, J. (2024). Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval. Environmental Science & Technology, 58(32), 14260-14270. https://doi.org/10.1021/acs.est.4c02701

Yang, L. H., Jacob, D. J., Dang, R., Oak, Y. J., Lin, H., Kim, J., Zhai, S., Colombi, N. K., Pendergrass, D. C., Beaudry, E., Shah, V., Feng, X., Yantosca, R. M., Chong, H., Park, J., Lee, H., Lee, W.-J., Kim, S., Kim, E., Travis, K. R., Crawford, J. H., & Liao, H. (2024). Interpreting Geostationary Environment Monitoring Spectrometer (GEMS) geostationary satellite observations of the diurnal variation in nitrogen dioxide (NO2) over East Asia. Atmospheric Chemistry and Physics, 24, 7027–7039. https://doi.org/10.5194/acp-24-7027-2024