Bak, J., Keppens, A., Choi, D., Hong, S., Kim, J.-H., Kim, C.-H., Lee, H.-J., Jeon, W., Kim, J., Koo, J.-H., Kim, J., Baek, K., Yang, K., Liu, X., Abad, G. G., Heue, K.-P., Lambert, J.-C., Jung, Y., Hong, H., & Lee, W.-J. (2026). GEMS ozone profile retrieval: impact and validation of version 3.0 improvements. Atmospheric Measurement Techniques, 19(1), 119-134. https://doi.org/10.5194/amt-19-119-2026
Cha, H., Chong, H., Kim, J., Abad, G. G., Zhu, L., Park, S. S., Ahn, D., Loyola, D., Lee, W.-J., & Ahn, M.-H. (2026). Total column water vapor retrievals from the Geostationary Environment Monitoring Spectrometer (GEMS). Remote Sensing of Environment, 339, Article 115401. https://doi.org/10.1016/j.rse.2026.115401
Christopoulos, J. A., Saide, P. E., Mohanty, M. R., Maneenoi, N., Kim, J., Judd, L., Travis, K. R., Garivait, S., Junpen, A., Miyazaki, K., Choi, J., Sekiya, T., Peterson, D., McHardy, T. M., Gapp, N., St Clair, J. M., Delaria, E., Wolfe, G. M., Sebol, A.,…Crawford, J. H. (2026). NOx emissions constraints from GEMS NO2 retrievals: inversion methodology and air quality model evaluation in Bangkok using ASIA-AQ multi-platform observations. Atmospheric Chemistry and Physics, 26(11), 8021-8050. https://doi.org/10.5194/acp-26-8021-2026
Eom, S., Yeo, M. J., Lee, D., Koo, J.-H., Kim, J., Ren, Y., Oxford, C. R., Liu, X., Dillner, A. M., Martin, R. V., Choi, S.-D., Song, C.-K., Park, J., Kim, H., & Park, S. S. (2026). Contrasting long-range transport signals of metropolitan PM2.5 in South Korea detected by SPARTAN observations. Atmospheric Pollution Research, 17(8), Article 103088. https://doi.org/10.1016/j.apr.2026.103088
Go, S., Alexei Lyapustin, Yujie Wang, Sergey Korkin, Weizhen Hou, Xiong Liu, Jhoon Kim (2026). Extending the MAIAC algorithm for hyperspectral atmospheric correction of TROPOMI measurements: A case study over vegetated regions. Remote Sensing of Environment, 345, 115593. https://doi.org/10.1016/j.rse.2026.115593
Ha, P. T. M., Kanaya, Y., Sekiya, T., Takashima, H., Sudo, K., Choi, Y., Chang, L., Lee, H., Hong, H., & Kim, J. (2026). Validating tropospheric NO2 column density from GEMS version 3.0 and Tropospheric Chemistry Reanalysis version 2 from background to urban conditions over Japan: with a focus on diurnal variations. Progress in Earth and Planetary Science, 13(1), Article 26. https://doi.org/10.1186/s40645-026-00813-y
Han, S., Shangyi Liu, Mengya Sheng, Jhoon Kim, Ximin Cui, Minqiang Zhou, Wei Wang, Isamu Morino, Voltaire A. Velazco, Zhao-Cheng Zeng (2026). Geostationary observations of air pollutants from biomass burning: A synergy of GIIRS and GEMS over Southeast Asia. Remote Sensing of Environment, 346, 115642. https://doi.org/10.1016/j.rse.2026.115642
Huang, C., Wang, J., Jin, Y., Min, M., Fan, Q., and Kim, J. (2026). O3–NOx–VOCs sensitivity in major Chinese regions: detailed insights from GEMS satellite hourly observations. Atmos. Chem. Phys., 26, 10221–10240. https://doi.org/10.5194/acp-26-10221-2026
Huang, Y., Wang, Y., Wang, J., Tao, M., Zhou, M., Kim, J., & Wang, L. (2026). Top-down estimates of anthropogenic NOx emissions over China through a new zone-stratified RF machine learning model. Environmental Pollution, 400, Article 128202. https://doi.org/10.1016/j.envpol.2026.128202
Jeon, H. J., Park, S. S., Kim, J., Chai, Y., Kim, M., Yu, J.-A., & Kim, S.-Y. (2026). Integration of GEMS and MODIS AOD for enhanced long-term aerosol monitoring over East Asia. International Journal of Remote Sensing, 47(8), 3434-3457. https://doi.org/10.1080/01431161.2026.2632162
Kang, E., Jung, S., Im, J., Choi, H., Hwang, S., Yoo, C., Marshall, J. D., Kim, D., Kim, J., & Kim, S.-M. (2026). Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data. Environmental Science & Technology, 60(12), 9319-9332. https://doi.org/10.1021/acs.est.5c15772
Kim, K.-M., Kim, S.-W., Seo, S., Lyu, C., McDonald, B. C., Shephard, M. W., Jimenez, J. L., Kim, H., Lim, C., Shin, H.-J., Yu, J., Dibb, J. E., Huey, L. G., Wennberg, P. O., Capps, S., Woo, J.-H., Jo, D. S., & Kim, J. (2026). Impact of CrIS-Derived NH3 Emission Updates on Simulated Nitrate and Ammonium Aerosols over East Asia. Environmental Science & Technology, 60(1), 860-872. https://doi.org/10.1021/acs.est.5c08113
Kim, M., Jhoon Kim, Hyunkwang Lim, Seoyoung Lee, Hyeji Cha, Yujin Chai, Sang Seo Park, Jun Wang (2026). Hybrid physics–AI aerosol property retrieval algorithm for AMI/GK-2A with a deep learning radiative transfer emulator. International Journal of Applied Earth Observation and Geoinformation, 152, 105393. https://doi.org/10.1016/j.jag.2026.105393
Lee, G. T., Rokjin J. Park, Hyeong-Ahn Kwon, Jaein I. Jeong, Seungun Lee, Eunjo S. Ha, Yoonbae Chung, Cheol-Hee Kim, Soontae Kim, Chul H. Song, Chang-Keun Song, Jung-Hun Woo, Glenn M. Wolfe, Jason St Clair, Erin Delaria, Abby E. Sebol, Hyeonmin Kim, Jhoon Kim (2026). Air mass factor sensitivity to a priori profiles in GEMS formaldehyde retrieval during the ASIA-AQ campaign. Atmospheric Environment, 382, 122255. https://doi.org/10.1016/j.atmosenv.2026.122255
Lee, J., Kim, J., Cho, Y., Lee, S., Pendergrass, D. C., Jacob, D. J., Lim, H., Jung, H. C., Myung, K.-M., Kim, Y.-D., Han, K. M., & Koo, J.-H. (2026). Evaluation for the machine learning based PM2.5 estimation using different spatial resolution of geostationary satellite AOD over megacities in Korea. Atmospheric Environment, 373, Article 121941. https://doi.org/10.1016/j.atmosenv.2026.121941
Ma, Y., Wang, Y., Wang, J., Tao, M., Kim, J., Wu, C., & Zhang, S. (2026). Machine Learning-Based Estimation of Surface NO2 Concentrations over China: A Comparative Analysis of Geostationary (GEMS) and Polar-Orbiting (TROPOMI) Satellite Data. Remote Sensing, 18(4), 614. https://doi.org/10.3390/rs18040614
Man, W., Tao, M., Xu, X., Wang, J., Zhou, S., Tang, Z., Wang, Y., Wang, L., Kim, J., & Chen, L. (2026). First Aerosol Retrieval From PACE HARP2 Over Land With Physics-Informed Deep Learning Method. IEEE Transactions on Geoscience and Remote Sensing, 64, Article 4108510. https://doi.org/10.1109/tgrs.2026.3702267
Ro, S., Ryu, Y.-H., Lee, S., Park, M.-S., Baek, K., Kim, J., Koo, J.-H., Lee, J., Choi, Y., & Jin, K.-W. (2026). Evaluation of aerosol, water vapour and ozone retrievals from sky radiometer measurements using the Skyrad pack MRI v2 for use in absolute radiometric calibration. Remote Sensing Letters, 17(7), 864-876. https://doi.org/10.1080/2150704x.2026.2673960
Sha, T., Li, L., Dong, Z., Chen, Q., Yan, S., Zhang, H., Kim, J., & Wang, J. (2026). Improving dust aerosol simulation over northern China: Synergy of updated numerical models and machine learning post-processing. Atmospheric Environment, 380, Article 122098. https://doi.org/10.1016/j.atmosenv.2026.122098
Shi, X., Fan, Y., Yang, K., Li, Z., Liu, X., Kim, J., Sun, L., Pang, S., Liu, C., & Wei, J. (2026). A Physics-Guided Feature Selection Machine Learning Approach for Cloud Probability Retrieval and Detection From TEMPO Imagery. Journal of Geophysical Research, 131(16), Article e2026JD046434. https://doi.org/10.1029/2026jd046434
Xiong, J., Wang, Y., Wang, J., Wang, Y., Zhou, M., Tao, M., Dong, W., Kim, J., & Wang, L. (2026). Correcting aerosol extinction coefficient vertical structure biases in GEOS-chem via a physics-informed transformer with physical mechanism diagnosis. Atmospheric Chemistry and Physics, 26(11), 8225-8253. https://doi.org/10.5194/acp-26-8225-2026
Xu, L., Siyu Liu, Minghui Tao, Jun Wang, Xincai Chang, Wenjing Man, Jie Ma, Huang Zhang, Jhoon Kim (2026). Enhanced retrieval of aerosol optical/microphysical parameters for Himawari-8 geostationary satellite measurements with data-driven deep learning method. International Journal of Applied Earth Observation and Geoinformation, 153, 105530. https://doi.org/10.1016/j.jag.2026.105530
Yang, Q., Jin, X., Wang, H., Fiore, A. M., Tao, M., Kim, J., Cho, Y., Lee, W.-J., Lee, D.-W., Yuan, Q., Zhang, C., Liu, C., Li, K., Lu, X., & Gao, M. (2026). Geostationary Air Quality Monitoring Substantiates Column NO2 as a Better O3 Formation Regime Indicator in China. Journal of Geophysical Research, 131(8), Article e2025JD045271. https://doi.org/10.1029/2025jd045271
Zheng, Y., Liu, S., Zeng, Z.-C., Kim, J., Bi, L., Li, J., Lee, L., Qi, C., Hu, X., Lu, F., Gu, M., Feng, Y., & Chen, S. X. (2026). Monitoring Rapidly Evolving Dust Storms in Northern China From a Constellation of GEO and LEO Hyperspectral Infrared Sounders. Journal of Geophysical Research, 131(11), Article e2025JD045990. https://doi.org/10.1029/2025jd045990