PUBLICATIONS
Last updated: June 15, 2024
Peer-reviewed Journal Articles
Under Review
[42] Baek, S. H., P. A. Ullrich, J. Lee, and B. Dong, 2024: Evaluating downscaled products with expected hydroclimatic co-variances. Geoscientific Model Development (under review) [preprint: doi: 10.5194/egusphere-2024-1456]
[41] 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 (under review)
[40] Planton, Y. Y., J. Lee, A. T. Wittenberg, P. J. Gleckler, É. Guilyardi, K. R. Sperber, M. J. McPhaden, 2023: Estimating uncertainty in simulated ENSO statistics. Journal of Advances in Modeling Earth Systems (under review) [preprint: doi: 10.22541/essoar.170196744.48068128/v1]
Published / accepted
2024
[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
2023
[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
2022
[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
2021
[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
2020
[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
2019
[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
2014-2017
[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
Prior 2011
[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://www.koreascience.or.kr/article/JAKO200628839765821.j
Peer-reviewed Conference/Workshop Full Proceedings
[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
Technical Reports
[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)