2026

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., Clair, J. M. S., Delaria, E., Wolfe, G. M., Sebol, A., Franchin, A., Cho, C., Silverman, M. L., & 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), 103088. https://doi.org/10.1016/j.apr.2026.103088

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

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, 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., Kim, J., Lim, H., Lee, S., Cha, H., Chai, Y., Park, S. S., & Wang, J. (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, 10539. https://doi.org/10.1016/j.jag.2026.105393

Lee, J., Kim, J., Cho, Y., Lee, S., Pendergrassf, 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

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, 122098. https://doi.org/10.1016/j.atmosenv.2026.122098

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

Yang, Q., Jin, X., Wang, H., Fiore, A. M., Tao, M., Kim, J., Cho, Y., Lee, W., Lee, D., 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: Atmospheres, 131(8), Article e2025JD045271. https://doi.org/10.1029/2025jd045271

Zheng, Y., Liu, S., Zeng, Z., 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: Atmospheres, 131(11), Article e2025JD045990. https://doi.org/10.1029/2025jd045990