Last updated: Oct 4, 2026
*: served as lead (first/corresponding) author
[65] Lin, W., S. Zhang, J.-C. Golaz, X. Zheng, A. Roberts, S. Xie, Y. Feng, S. Mahajan, L. P. Van Roekel, J. J. Benedict, K. Zhang, X. Shi, Q. Tang, H. Wang, J. Xie, J. Lee, J. T. Fasullo, P. E. Thornton, A. M. Barthel, N. Mahfouz, W. M. Hannah, C. Zhang, T. Bartoletti, R. M. Forsyth, B. E. Harrop, C. Tebaldi, R. L. Jacob, R. McCoy, M. A. Taylor, L. R. Leung, P. M. Caldwell, D. C. Bader, 2026: The Energy Exascale Earth System Model version 3. Part III: Overview of historical and near future large ensemble. Journal of Advances in Modeling Earth Systems (submitted)
[64] Choi, Y., D. Kang, D. Kim, F. Vitart, J. Lee, 2026: Assessment of the MJO’s Southward Detour in CMIP6 models. npj Climate and Atmospheric Science (submitted) [preprint: doi: 10.21203/rs.3.rs-10998779/v1]
[63] Covey, C., J. Lee, D. Lucas , K. Taylor , R. Klein , M. Zelinka, 2026: Comparing the Latitudinal Dependence of the Arrhenius (1896) Model of Greenhouse Warming with Modern Climate Models. npj Climate and Atmospheric Science (submitted)
[62] Tang Q., J.-C. Golaz, W. Lin, J. D. Wolfe, D. Hao, B. E., Harrop, M. Wu, X. Shi, S. Zhang, T. Zhou, J. Zhang, H. Wang, M. Brunke, Y. Hao, L. R. Leung, J. Lee, J. Mao, K. Sakaguchi, T. Su, C. R. Terai, A. Winters, S. Xie, X. Zeng, Y. Zhang, Q. Zhu, 2026: Overview of the Energy Exascale Earth System Model Version 3: The Regionally Refined Model Configuration. Journal of Advances in Modeling Earth Systems (submitted)
[61] Medeiros, B., E. Blockley, R. Beadling, S. Brands, D. D. Dugassa, B. Hassler, F. Hoffman, J. Lee, V. Lembo, J. Lu, E. Malinina, C. Macintosh, R. Swaminathan, E. Scoccimarro, K. Taylor, J. Tjiputra, B. Turner, D. Watson-Parris, 2026: Future Vision of Earth System Model Evaluation and Benchmarking in CMIP and Beyond. AGU Advances (submitted)
[60] Pallotta, G., S., Duan, C. Bonfils, J. Lee, S. Goodnight, P. Ullrich, 2026: A PMP-Inspired Evaluation Framework for Assessing Deep-Learning Earth System Models. Geoscientific Model Development (under review) [preprint: doi: 10.48550/arXiv.2604.06567]
[59] Fasullo, J. T., J. M caron, A. S. Phillips, N. Maher, C. Deser, J. Lee, 2026: Forced Changes in Modes of Variability in E3SM and CESM. Earth's Future (submitted)
[58] Choi, J., S.-W. Son, P. J. Durack, S.-Y. Jun, J. Lee, and S. Jerez, 2026: Increasing solar energy availability by improving air quality in Europe. Nature Communications (submitted)
[57] Durack, P. J., K. E. Taylor, P. J. Gleckler, G. A. Meehl, B. N. Lawrence, C. Covey, R. J. Stouffer, G. Levavasseur, A. Ben-Nasser, S. Denvil, M. Stockhause, J. M. Gregory, M. Juckes, S. K. Ames, F. Antonio, D. C. Bader, D. Ellis, V. Eyring, S. L. Fiore, S. Joussaume, P. Kershaw, J.-F. Lamarque, M. Lautenschlager, J. Lee, C. F. Mauzey, M. Mizielinski, P. Nassisi, A. Nuzzo, J. Painter, G. L. Potter, S. Rodriguez, and D. N. Williams, 2025: The Coupled Model Intercomparison Project (CMIP): Reviewing project history, evolution, infrastructure and implementation. Geoscientific Model Development (under review) [preprint: doi: 10.5194/egusphere-2024-3729]
[56] Yu, W., W. Hannah, J. Benedict, Q. Tang, S. Burrows, M. Park, C. Golaz, K. Rosenlof, S. Davis, E. Ray, J. Lee, 2026: Evaluation of the E3SMv3 Stratosphere Performance. Journal of Advances in Modeling Earth Systems, 18, e2025MS005612. doi: 10.1029/2025MS005612
[55*] Lee, J., K. Y. Chang, P. Gleckler, P. Ullrich, 2026: ESMBenchmarkViz: A Python Toolkit for Interactive Visualization of Earth System Model Evaluation and Benchmarking. Journal of Open Source Software, 11, 10644, doi: 10.21105/joss.10644
[54] Hoffman, F. M., B. Hassler, R. Swaminathan, J. Lewis, B. Andela, N. Collier, D. Hegedüs, J. Lee, C. Pascoe, M. Pflüger, M. Stockhause, P. Ullrich, M. Xu, L. Bock, F. Chun, B. K. Gier, D. I. Kelley, A. Lauer, J. Lenhardt, M. Schlund, M. G. Sreeush, K. Weigel, E. Blockley, R. Beadling, R. Beucher, D. D. Dugassa, V. Lembo, J. Lu, S. Brands, J. Tjiputra, E. Malinina, B. Mederios, E. Soccimarro, J. Walton, P. Kershaw, A. L. Marquez, M. J. Roberts, E. O’Rourke, E. Dingley, B. Turner, H. Hewitt, and J. P. Dunne, 2026: Rapid Evaluation Framework for the CMIP7 Assessment Fast Track. Geoscientific Model Development, 19, 7415–7455, doi: 10.5194/gmd-19-7415-2026
[53*] Choi, J., J. Lee, K. Chang, P. A. Ullrich, P. J. Gleckler, and S.-Y. Jun, 2026: New framework for benchmarking decadal predictions leveraging the PCMDI Metric Package with interactive visualization. Geoscientific Model Development, 19, 6189–6206, doi: 10.5194/gmd-19-6189-2026
[52*] Choi, J., P. A. Ullrich, J. Lee, P. J. Gleckler, S. Goodnight, S.-W. Son, 2026: Uncertainty in California winter precipitation linked to future projections of North Pacific large-scale atmospheric circulation. Journal of Geophysical Research: Atmospheres, 131, e2025JD045669. doi: 10.1029/2025JD045669
[51] Shields, C., D. DeSantis, A. Jonko, J. Lee, J. M. Caron, A. Phillips, J. Fasullo, 2026: Challenges and Alternatives to Empirical Orthogonal Functions for Earth System Data. Scientific Reports, 16, 18794, doi: 10.1038/s41598-026-49505-z
[50] Beadling, R. L., R. Swaminathan, R. Beucher, E. Blockley, S. Brands, B. Hassler, D. Hegedűs, F. Hoffman, J. Lee, J. Lewis, J. Lu, E. Malinina, B. Medeiros, E. Scoccimarro, J. Tjiputra, B. Turner, D. Watson-Parris, 2026: Observational Data for Next Generation Climate Model Evaluation: Requirements, Considerations, and Best Practices. Bulletin of the American Meteorological Society, 107, doi: 10.1175/BAMS-D-25-0079.1
[49] Golaz, J.-C., W. Lin, X. Zheng, S. Xie, A. Roberts, L. P. Van Roekel, P. E. Thornton, A. Barthel, A. Bradley, J. D. Wolfe, C. Zhang, K. Zhang, S. Zhang, X. S. Asay-Davis, C. B. Begeman, G. Bisht, S. M. Burrows, C.-C. Chen, Y. Feng, E. C. Hunke, R. L. Jacob, Z. Ke, S. Mahajan, N. Mahfouz, M. E. Maltrud, X. Shi, Q. Tang, C. R. Terai, E. E. Thomas, H. Wang, J. Xie, T. Zhou, T. Bartoletti, J. J. Benedict, M. Brunke, D. Comeau, J. Fan, R. M. Forsyth, J. G. Foucar, O. Guba, W. M. Hannah, D. Hao, X. Huang, N. Jeffery, H.-G. Kang, N. D. Keen, H.-H. Lee, J. Lee, X. Liu, A. Mametjanov, J. Mülmenstädt, M. R. Petersen, M. J. Prather, S. Price, Y. Qian, A. G. Salinger, S. P. Santos, Y. Shan, B. Singh, K. Smith, X. Song, S. Sreepathi, A. K. Turner, T. Vo, H. Wan, M. Wu, W. Yu, C. S. Zender, X. Zeng, G. J. Zhang, M. Zhang, T. Zhang, Y. Zhang, R. McCoy, M. A. Taylor, L. R. Leung, P. M. Caldwell, D. C. Bader, 2026: The Energy Exascale Earth System Model version 3. Part II: Overview of the coupled system. Journal of Advances in Modeling Earth Systems, 18, e2025MS005302, doi: 10.1029/2025MS005302
[48] Kim, J.-H., M.-K. Kim, J. Kim, J. Lee, Y. Kosaka, 2026: Performance Evaluation of CMIP6 Models on the Arctic-Siberian Plain Teleconnection Affecting the East Asian Heat Waves. Weather and Climate Extremes, 51, 100867, doi: 10.1016/j.wace.2026.100867
[47] Hassler, B., Hoffman, F. M., R. Beadling, E. Blockley, F. Francis, Bo. Huang, J. Lee, V. Lembo, J. Lewis, J. Lu, L. Madaus, E. Malinina, B. Medeiros, W. Pokam, E. Scoccimarro, R. Swaminathan, 2026: Systematic Benchmarking of Climate Models: Methodologies, Applications, and New Directions. Reviews of Geophysics, 64, e2025RG000891, doi: 10.1029/2025RG000891
[46] Xie, Shaocheng, C. R. Terai, H. Wang, Q. Tang, J. Fan, S. Burrows, W. Lin, M. Wu, X. Song, Y. Zhang, M. A. Taylor, J.-C. Golaz, J. J. Benedict, C.-C.-J. Chen, Y. Feng, W. M. Hannah, Z. Ke, Y. Shan, V. E. Larson, X. Liu, M. J. Prather, J. H. Richter, M. Shrivastava, H. Wan, G. J. Zhang, K. Zhang, A. M. Bradley, P. Cameron-Smith, L. Damiano, B. J. Debusschere, A. S. Donahue, R. C. Easter, M. S. Eldred, B. M. Griffin, O. Guba, Z. Guo, X. Huang, J. Lee, H.-H. Lee, S. Lou, N. Mahfouz, M. Moncrieff, J. Mülmenstädt, Y. Qian, Q. Z. Rasool, A. F. Roberts, S. P. Santos, K. Sargsyan, J. Shpund, B. Singh, C. Tao, J. Xie, Y. Yang, X. Zeng, C. Zhang, M. Zhang, S. Zhang, T. Zhang, X. Zheng, R. L. Jacob, L. R. Leung, R. B. McCoy, D. C. Bader, 2025: The Energy Exascale Earth System Model Version 3. Part I: Overview of the Atmospheric Component. The Journal of Advances in Modeling Earth Systems, 17, e2025MS005120, doi: 10.1029/2025MS005120
[45] Ullrich, P. A., E.A. Barnes, W. D. Collins, K. Dagon, S. Duan, J. Elms, J. Lee, L.R. Leung, D. Lu, M.J. Molina, and T. A. O’Brien, T.A., 2025: Recommendations for comprehensive and independent evaluation of machine learning‐based Earth system models. Journal of Geophysical Research: Machine Learning and Computation, 2, e2024JH000496, doi: 10.1029/2024JH000496
[44] Smith, K. M., A. M. Barthel, L. M. Conlon, L. P. Van Roekel, A. Bartoletti, J.-C. Golez, C. Zhang, C. B. Begeman, J. J. Benedict, G. Bisht, Y. Feng, W. Hannah, B. E. Harrop, N. Jeffery, W. Lin, P.-L. Ma, M. E. Maltrud, M. R. Petersen, B. Singh, Q. Tang, T. Tesfa, J. D. Wolfe, S. Xie, X. Zheng, K. Balaguru, O. Garuba, P. Gleckler, A. Hu, J. Lee, B. Moore-Maley, and A. C. Ordonez, 2025: The DOE E3SM Version 2.1: Overview and Assessment of the Impacts of Parameterized Ocean Submesoscales. Geoscientific Model Development, 18, 1613–1633, doi: 10.5194/gmd-18-1613-2025
[43] Dong, B., P. Ullrich, J. Lee, P. Gleckler, K. Chang, T. A. O’Brien, 2025: Evaluation of atmospheric rivers in reanalyses and climate models in a new metrics framework. Geoscientific Model Development, 18, 961–976, doi: 10.5194/gmd-18-961-2025
[42] Baek, S. H., P. A. Ullrich, J. Lee, and B. Dong, 2024: Evaluating downscaled products with expected hydroclimatic co-variances. Geoscientific Model Development, 17, 8665–8681, doi: 10.5194/gmd-17-8665-2024
[41] Planton, Y. Y., J. Lee, A. T. Wittenberg, P. J. Gleckler, É. Guilyardi, K. R. Sperber, M. J. McPhaden, 2024: Estimating uncertainty in simulated ENSO statistics. Journal of Advances in Modeling Earth Systems, 16, e2023MS004147, doi: 10.1029/2023MS004147
[40] Vo, T., S. Po-Chedley, J. Boutte, J. Lee, and C. Zhang, 2024: xCDAT: A Python package for simple climate data analysis on structured grids. Journal of Open Source Software, 9, 6426, doi: 10.21105/joss.06426
[39*] Ahn, M.-S., P. Ullrich, J. Lee, P. Gleckler, H.-Y. Ma, C. Terai, P. Bogenschutz, A. Ordonez, 2024: Bimodality in Simulated Precipitation Frequency Distributions and Its Relationship with Convective Parameterizations. NPJ Climate and Atmospheric Science, 7, 132, doi: 10.1038/s41612-024-00685-3
[38*] Lee, J., P. J. Gleckler, M.-S. Ahn, A. Ordonez, P. Ullrich, K. R. Sperber, K. E. Taylor, Y. Y. Planton, E. Guilyardi, P. Durack, C. Bonfils, M. D. Zelinka, L.-W. Chao, B. Dong, C. Doutriaux, C. Zhang, T. Vo, J. Boutte, M. F. Wehner, A. G. Pendergrass, D. Kim, Z. Xue, A. T. Wittenberg, and J. Krasting, 2024: Systematic and Objective Evaluation of Earth System Models: PCMDI Metrics Package (PMP) version 3. Geoscientific Model Development, 17, 3919–3948, doi: 10.5194/gmd-17-3919-2024
[37] Fasullo, J. T., J. M. Caron, A. Phillips, H. Li, J. H. Richter, R. B. Neale, N. Rosenbloom, G. Strand, S. Glanville, Y. Li, F. Lehner, G. Meehl, J.-C. Golaz, P. Ullrich, J. Lee, and J. Arblaster, 2024: Modes of Variability in E3SM and CESM Large Ensembles. Journal of Climate, 37, 2629–2653, doi: 10.1175/JCLI-D-23-0454.1
[36] Arcodia, M., E. A. Barnes, K. Mayer, J. Lee, A. Ordonez, M.-S. Ahn, 2023: Assessing Decadal Variability of Subseasonal Forecasts of Opportunity using Explainable AI. Environmental Research: Climate, 2, 045002, doi: 10.1088/2752-5295/aced60
[35*] Ahn, M.-S., P. A. Ullrich, P. J. Gleckler, J. Lee, A. C. Ordonez, and A. G. Pendergrass, 2023: Evaluating Precipitation Distributions at Regional Scales: A Benchmarking Framework and Application to CMIP5 and CMIP6. Geoscientific Model Development, 16, 3927–3951, doi: 10.5194/gmd-16-3927-2023
[34] Tao, C., S. Xie, S. Tang, J. Lee, H.-Y. Ma, C. Zhang, and W. Lin, 2023: Diurnal Cycle of Precipitation Over Global Monsoon Systems in CMIP6 Simulations. Climate Dynamics, 60, 3947–3968, doi: 10.1007/s00382-022-06546-0
[33] Ahn, M.-S., P. J. Gleckler, J. Lee, A. G. Pendergrass, and C. Jakob, 2022: Benchmarking Simulated Precipitation Variability across Timescales. Journal of Climate, 35, 3173–3196, doi: 10.1175/JCLI-D-21-0542.1
[32] Kim, K.-B., K.-S. Lim, and J. Lee, 2022: Numerical Errors in Ice Microphysics Parameterizations and their Effects on Simulated Regional Climate. Asia-Pacific Journal of Atmospheric Sciences, 58, 679–695, doi: 10.1007/s13143-022-00288-z
[31] Ma, H.-Y., S. A. Klein, J. Lee, M.-S. Ahn, C. Tao and P. J. Gleckler, 2022: Superior Daily and Sub-Daily Precipitation Statistics for Intense and Long-Lived Storms in Global Storm-Resolving Models. Geophysical Research Letters, 49, e2021GL096759, doi: 10.1029/2021GL096759
[30] Pan, B., G. J. Anderson, A. Goncalves, D. D. Lucas, C. Bonfils, and J. Lee, 2022: Improving Seasonal Forecast using Probabilistic Deep Learning. Journal of Advances in Modeling Earth Systems, 14, e2021MS002766, doi: 10.1029/2021MS002766
[29] Planton, Y., E. Guilyardi, A. T. Wittenberg, J. Lee, P. J. Gleckler, T. Bayr, S. McGregor, M. J. McPhaden, S. Power, R. Roehrig, J. Vialard, A. Voldoire, 2021: A New Way of Evaluating ENSO in Climate Models: The CLIVAR ENSO Metrics Package. Bulletin of the American Meteorological Society, 102, 1073-1080, doi: 10.1175/BAMS-D-19-0337.A
[28] Pan, B., G. J. Anderson, A. Goncalves, D. Lucas, C. Bonfils, and J. Lee, Y. Tian, H.-Y. Ma, 2021: Learning to correct climate projection biases. Journal of Advances in Modeling Earth Systems, 13, e2021MS002509, doi: 10.1029/2021MS002509
[27*] Lee, J., Y. Planton, P. Gleckler, K. Sperber, E. Guilyardi, A. T. Wittenberg, M. J. McPhaden, and G. Pallotta, 2021: Robust evaluation of ENSO in climate models: How many ensemble members are needed? Geophysical Research Letters, 48, e2021GL095041, doi: 10.1029/2021GL095041
[26*] Lee, J., K. Sperber, P. Gleckler, K. Taylor, and C. Bonfils, 2021: Benchmarking performance changes in the simulation of extratropical modes of variability across CMIP generations. Journal of Climate, 34, 6945–6969, doi: 10.1175/JCLI-D-20-0832.1
[25] Wehner, M., J. Lee, M. Risser, P. Ullrich, P. Gleckler, W. D. Collins, 2021: Evaluation of extreme sub-daily precipitation in high-resolution global climate model simulations. Philosophical Transactions A, 379, 20190545, doi: 10.1098/rsta.2019.0545
[24] Sung, H. M., J. Kim , S. Shim, J. Seo , S.-H. Kwon, M.-A. Sun, H. Moon, J.-H. Lee, Y.-J. Lim, K.-O. Boo, Y. Kim, J. Lee, J. Lee, J. Kim, C. Marzin, and Y.-H. Byun, 2021: Climate Change Projection in the Twenty-First Century Simulated by NIMS-KMA CMIP6 Model Based on New GHGs Concentration Pathways. Asia-Pacific Journal of Atmospheric Sciences, 57, 851–862, doi: 10.1007/s13143-021-00225-6
[23] Tang, S., P. Gleckler, S. Xie, J. Lee, C. Covey, C. Zhang, M.-S. Ahn, 2021: Evaluating Diurnal and Semi-Diurnal Cycle of Precipitation in CMIP6 Models Using Satellite- and Ground-Based Observations. Journal of Climate, 34, 3189–3210, doi: 10.1175/JCLI-D-20-0639.1
[22] Planton, Y., E. Guilyardi, A. T. Wittenberg, J. Lee, P. J. Gleckler, T. Bayr, S. McGregor, M. J. McPhaden, S. Power, R. Roehrig, J. Vialard, and A. Voldoire, 2021: Evaluating climate models with the CLIVAR 2020 ENSO metrics package. Bulletin of the American Meteorological Society, 102, E193-E217, doi: 10.1175/BAMS-D-19-0337.1
[21*] Lim, K.-S. S., J.-M. Lim, J. Lee, and H. H. Shin, 2021: Impact of boundary layer simulation on predicting radioactive pollutant dispersion: a case study for HANARO Research Reactor using the WRF-MMIF-CALPUFF modeling system. Nuclear Engineering and Technology, 53, 244-252, doi: 10.1016/j.net.2020.06.011
[20] Ma, H.-Y., A. C. Siongco, S. A. Klein, S. Xie, A. R. Karspeck, K. Raeder, J. L. Anderson, J. Lee, B. P. Kirtman, W. J. Merryfield, H. Murakami, and J. J. Tribbia, 2021: On the correspondence between seasonal forecast and long term climate errors in sea surface temperatures. Journal of Climate, 34, 427-446, doi: 10.1175/JCLI-D-20-0338.1
[19] Szuwalski, C., W. Cheng, R. Foy, A. Hermann, A. Hollowed, K. Holsman, J. Lee, W. Stockhausen, J. Zheng, 2021: Climate change and the future productivity and distribution of crab in the Bering Sea. ICES Journal of Marine Science, 78, 502–515, doi: 10.1093/icesjms/fsaa140
[18] Kang D., D. Kim, M.-S. Ahn, R. Neale, J. Lee, and P. J. Gleckler, 2020: The role of the mean state on MJO simulation in CESM2 ensemble simulation. Geophysical Research Letters, 47, e2020GL089824, doi: 10.1029/2020GL089824
[17] Wehner, M., P. Gleckler, J. Lee, 2020: Characterization of long period return values of extreme daily temperature and precipitation in the CMIP6 models: Part 1, model evaluation. Weather and Climate Extremes, 30, 100283, doi: 10.1016/j.wace.2020.100283
[16] Orbe, C., L. V. Roekel, A. Adames, G. Danabasoglu, A. Dezfuli, J. Fasullo, P. Gleckler, J. Lee, W. Li, L. Nazarenko, G. Schmidt, K. Sperber, M. Zhao, 2020: Representation of Modes of Variability in 6 U.S. Climate Models. Journal of Climate, 33, 7591–7617, doi: 10.1175/JCLI-D-19-0956.1
[15] Ahn, M.-S., D. Kim, D. Kang, J. Lee, K. R. Sperber, P. J. Gleckler, X. Jiang, Y.-G. Ham, and H. Kim, 2020: MJO Propagation across the Maritime Continent: Are CMIP6 Models Better than CMIP5 Models? Geophysical Research Letters, 47, e2020GL087250, doi: 10.1029/2020GL087250
[14*] Park, H.-H., J. Lee, E.-C. Chang, M. Joh, 2019: High-Resolution Simulation of Snowfall over the Korean Eastern Coastal Region using WRF model: Sensitivity to Domain Nesting-down Strategy. Asia-Pacific Journal of Atmospheric Sciences, 55, 493–506, doi: 10.1007/s13143-019-00108-x
[13*] Lee, J., K. Sperber, P. Gleckler, C. Bonfils, and K. Taylor, 2019: Quantifying the Agreement Between Observed and Simulated Extratropical Modes of Interannual Variability. Climate Dynamics, 52, 4057-4089, doi: 10.1007/s00382-018-4355-4
[12*] Lee, J., Y. Xue, F. De Sales, I. Diallo, L. Marx, M. Ek, K. R. Sperber, P. J. Gleckler, 2019: Evaluation of multi-decadal UCLA-CFSv2 simulation and impact of interactive atmospheric-ocean feedback on global and regional variability. Climate Dynamics. 52, 3683-3707, doi: 10.1007/s00382-018-4351-8
[11] Lee, D., S.-K. Min, J. Jin, J.-W. Lee, D.-H. Cha, M.-S. Suh, J.-B. Ahn, S.-Y. Hong, H.-S. Kang and M. Joh, 2017: Thermodynamic and dynamic contributions to future changes in summer precipitation over Northeast Asia and Korea: a multi-RCM study. Climate Dynamics. 49, 4121-4139, doi: 10.1007/s00382-017-3566-4
[10] Ham, S., J.-W. Lee, K. Yoshimura, 2016: Assessing future climate changes in the East Asian summer and winter monsoon using Regional Spectral Model. Journal of the Meteorological Society of Japan, 94A, 69-87, doi: 10.2151/jmsj.2015-051
[9*] Lee, J.-W., 2015: Effects of Typhoon Initialization and Dropwindsonde Data Assimilation on Direct and Indirect Heavy Rainfall Simulation in WRF model. Journal of Korean Earth Science Society, 36, 460-475, doi:10.5467/JKESS.2015.36.5.460
[8*] Lee, J.-W., S.-Y. Hong, J.-E. Kim, K. Yoshimura, S. Ham, and M. Joh, 2015: Development and implementation of river-routing process module in a regional climate model and its evaluation in Korean river basins. Journal of Geophysical Research: Atmospheres, 120, 4613-4629, doi: 10.1002/2014JD022698
[7*] Lee, J.-W., S. Ham, S.-Y. Hong, K. Yoshimura, and M. Joh, 2014: Future changes in surface runoff over Korea projected by a regional climate model under A1B scenario. Advances in Meteorology, 2014, 753790, doi: 10.1155/2014/753790
[6*] Lee, J.-W., and S.-Y. Hong, 2014: Potential for added value to downscaled climate extremes over Korea by increased resolution of a regional climate model. Theoretical and Applied Climatology, 117, 667-677, doi: 10.1007/s00704-013-1034-6
[5*] Lee, J.-W., S.-Y. Hong, E.-C. Chang, M.-S. Suh, and H.-S. Kang, 2014: Assessment of future climate change over East Asia due to the RCP scenarios downscaled by GRIMs-RMP. Climate Dynamics, 42, 733-747, doi:10.1007/s00382-013-1841-6
[4] Byun, U.-Y., S.-Y. Hong, H.-Y., Shin, J.-W. Lee, J.-I. Song, S.-J. Hahm, J.-K. Kim, H.-W. Kim, and J.-S. Kim, 2011: WRF-based short-range forecast system of the Korea Air Force: Verification of prediction skill in 2009 summer. The Atmosphere, 21, 197-208 (in Korean with English abstract), doi: 10.14191/Atmos.2011.21.2.197
[3] Hong, S.-Y., and J.-W. Lee, 2009: Assessment of the WRF model in reproducing a flash-flood heavy rainfall event over Korea. Atmospheric Research, 93, 818-831, doi: 10.1016/j.atmosres. 2009.03.015
[2] Bang, C.-H., J.-W. Lee, and S.-Y. Hong, 2008: Predictability experiments of fog and visibility in local airports over Korea using the WRF Model. Journal of Korean Society for Atmospheric Environment, 24, 92-101. http://www.koreascience.or.kr/article/JAKO200807841289142.page
[1*] Lee, J.-W., and S.-Y. Hong, 2006: A numerical simulation study of orographic effects for a heavy rainfall event over Korea using the WRF Model. The Atmosphere, 16, 319-332 (in Korean with English abstract). https://koreascience.kr/article/JAKO200628839765821.page
[6] Park, S., K. Kim, S. Kim, J. Lee, J. Lee, J. Lee, J. Choo, 2020: Hurricane Nowcasting with Irregular Time-step using Neural-ODE and Video Prediction, Proceedings of the International Conference on Learning Representations (ICLR), Climate Change AI workshop, 2020. (Spotlight). https://www.climatechange.ai/papers/iclr2020/21.html
[5*] Lee, J., P. Gleckler, K. Sperber, C. Doutriaux and D. Williams, 2018: High-dimensional Data Visualization for Climate Model Intercomparison: Application of the Circular Plot. Climate Informatics. Proceedings of the 8th International Workshop on Climate Informatics: CI 2018. NCAR Technical Note NCAR/TN-550+PROC, 12-14, doi:10.5065/D6BZ64XQ.
[4] Kim, S., J. M. Lee, J. Lee and J. Seo, 2018: Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM. Climate Informatics. Proceedings of the 8th International Workshop on Climate Informatics: CI 2018. NCAR Technical Note NCAR/TN-550+PROC, 34-36, doi:10.5065/D6BZ64XQ.
[3] Kim, S., S. Ames, J. Lee, C. Zhang, A. C. Wilson and D. Williams, 2017: Resolution Reconstruction of Climate Data with Pixel Recursive Model. Seventh Workshop Data Mining on Earth System Science (DMESS 2017). ICDM on IEEE.
[2] Kim, S. K., S. Ames, J. Lee, C. Zhang, A. C. Wilson, and D. Williams, 2017: Massive Scale Deep Learning for Detecting Extreme Climate Events. Climate Informatics. NCAR/TN536+PROC
[1] Christensen, C., S. Liu, G. Scorzelli, J.-W. Lee, P.-T. Bremer, and V. Pascucci, 2016: Embedded domain-specific language and runtime system for progressive spatiotemporal data analysis and visualization. The 6th IEEE Symposium on Large Data Analysis and Visualization (LDAV), doi: 10.1109/LDAV.2016.7874304
[3] Lee, B. Y., J.-H. Yuk, D. Jang, J.-W. Lee, H.-J. Shin, M. Joh, and J. An., 2015: Development of a 3-Dimensional Scientific Visualization Tool for Analysis and Visualization of Results from Atmospheric and Oceanic Numerical Models. Journal of Supercomputing Information, 3, 16-22. (in Korean with English abstract)
[2] Yuk, J,-H., S.-H. Lee, J.-W. Lee, M. Joh, J. An, J. Clyne, S.-H. Park, 2014: Three-dimensional scientific visualization of results of numerical atmospheric models: GRIMs and MPAS-A. Journal of Supercomputing Information, 2, 30-35. (in Korean with English abstract)
[1] Lee, S.-H., J.-W. Lee, J.-H. Yuk, J. An, M. Joh, 2014: Simulation of super typhoon (HAIYAN) using a high-resolution numerical model (WRF) and its three-dimensional scientific visualization. Journal of Supercomputing Information, 2, 36-39. (in Korean with English abstract)