이준이 June-Yi Lee

Publications

Books

1. [June-Yi Lee: Chapter Author]  Future Earth, The Earth League, WCRP (2024). 10 New Insights in Climate Science 2024/2025. Stockholm. doi:10.5281/zenodo.13950098
2. [June-Yi Lee: Core Writing Team Member] IPCC, 2023: Summary for Policymakers. In: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland, pp. 1-34, doi: 10.59327/IPCC/AR6-9789291691647.001
3. [June-Yi Lee: Core Writing Team Member] IPCC, 2023: Sections. In: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland, pp. 35-115, doi: 10.59327/IPCC/AR6-9789291691647
4. [June-Yi Lee: Lead Author] IPCC, 2021: Annex V: Monsoons [Cherchi, A., A. Turner (eds.)]. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press. https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Annex_V.pdf
5. [June-Yi Lee: Lead Author] IPCC, 2021: Annex IV: Modes of Variability [Cassou, C., A. Cherchi, Y. Kosaka (eds.)]. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press.  https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Annex_IV.pdf
6. Arias, P. A., N. Bellouin, E. Coppola, R. G. Jones, G. Krinner, J. Marotzke, V. Naik, M. D. Palmer, G-K. Plattner, J. Rogelj, M. Rojas, J. Sillmann, T. Storelvmo, P. W. Thorne, B. Trewin, K. Achuta Rao, B. Adhikary, R. P. Allan, K. Armour, G. Bala, R. Barimalala, S. Berger, J. G. Canadell, C. Cassou, A. Cherchi, W. Collins, W. D. Collins, S. L. Connors, S. Corti, F. Cruz, F. J. Dentener, C. Dereczynski, A. Di Luca, A. Diongue Niang, F. J. Doblas-Reyes, A. Dosio, H. Douville, F. Engelbrecht, V. Eyring, E. Fischer, P. Forster, B. Fox-Kemper, J. S. Fuglestvedt, J. C. Fyfe, N. P. Gillett, L. Goldfarb, I. Gorodetskaya, J. M. Gutierrez, R. Hamdi, E. Hawkins, H. T. Hewitt, P. Hope, A. S. Islam, C. Jones, D. S. Kaufman, R. E. Kopp, Y. Kosaka, J. Kossin, S. Krakovska, J-Y. Lee, J. Li, T. Mauritsen, T. K. Maycock, M. Meinshausen, S-K. Min, P. M. S. Monteiro, T. Ngo-Duc, F. Otto, I. Pinto, A. Pirani, K. Raghavan, R. Ranasinghe, A. C. Ruane, L. Ruiz, J-B. Sallée, B. H. Samset, S. Sathyendranath, S. I. Seneviratne, A. A. Sörensson, S. Szopa, I. Takayabu, A-M. Treguier, B. van den Hurk, R. Vautard, K. von Schuckmann, S. Zaehle, X. Zhang, K. Zickfeld, 2021, Technical Summary. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press. https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_TS.pdf
7. [June-Yi Lee: Drafting author] IPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [MassonDelmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press. https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_SPM.pdf
8. Lee, J. Y., J. Marotzke, G. Bala, L. Cao, S. Corti, J. P. Dunne, F. Engelbrecht, E. Fischer, J. C. Fyfe, C. Jones, A. Maycock, J. Mutemi, O. Ndiaye, S. Panickal, T. Zhou, 2021, Future Global Climate: Scenario-Based Projections and Near-Term Information. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press.  https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter_04.pdf
9. June-Yi Lee, Tamás Bódai, 2021: Indian summer Monsoon Variability 1st Edition, El Niño-teleconnections and beyond: Chapter 20, Future Changes of the ENSO-Indian Summer Monsoon Teleconnection, Elsevier, pp. 393-412. ISBN: 9780128224021
10. J.-Y. Lee, X. Fu, and B. Wang, 2016: Predictability and prediction of the Madden-Julian Oscillation: A review on progress and current status. In the third edition of the Global Monsoon System: Research and Forecast, C.-P. Chang et al. (ads). World Scientific, pp385, ISBN: 978-981-3200-90-6.
11. M. C. Wheeler, H.-J. Kim, J.-Y. Lee, and J. C. Gottschalck, 2016: Real-tiime forecasting of modes of tropical intraseasonal variability: the Madden-Julian and boreal summer intraseasonal oscillation. In the third edition of the Global Monsoon System: Research and Forecast, C.-P. Chang et al. (ads). World Scientific, pp385, ISBN: 978-981-3200-90-6.
12. Jing-Jia Luo, C. Yuan, W. Sasaki, S. Behera, Y. Masumoto, T. Yamagata, J.-Y. Lee, and S. Masson, 2016: Current status of intraseasonal-seasonal-to-interannual prediction of the Indo-Pacific climate. In Info-Pacific Climate Variability and Predictability, S. Behera and T. Yamagata (Eds). World Scientific, pp324, ISBN: 978-981-4696-61-6.
13. June-Yi Lee and Bin Wang, 2012: Seasonal climate predictability of atmospheric circulation. In Climate Models, Leonard M. Druyan (Ed.), ISBN: 978-953-51-0135-2, InTech, pp. 336, Available from: http://www.intechopen.com/articles/show/title/seasonal-climate-predictability-of-atmospheric-circulation
14. Changma White Book, 2011: Kyong-Hwan Seo and June-Yi Lee (Eds), Korean Meteorological Administration, pp 250.
15. Lau, William K.-M., Kyu-Myong Kim, and June-Yi Lee, 2004: Interannual variability, global teleconnection, and potential predictability associated with the Asian summer monsoon. In East Asian Monsoon. Ed. C.-P. Chang. World Scentific Series on Meteorology of East Asia.

Journals

1. Na-Yeon Shin, Daehyun Kang, Daehyun Kim, June-Yi Lee, Jong-Seong Kug, 2024: Data-driven investigation on the boreal summer MJO predictability, npj climate and atmospheric science, vol. 7, article 248, doi: 10.1038/s41612-024-00799-8
2. Jinhui Xie, Pang-Chi Hsu, June-Yi Lee, Lu Wang, Andrew G. Turner, 2024: Tropical intraseasonal oscillations as key driver and source of predictability for the 2022 Pakistan record-breaking rainfall event, npj climate and atmospheric science, vol. 7, article 256, doi: 10.1038/s41612-024-00809-9
3. Jin Yang, Tao Zhu, Frederic Vitart, Bin Wang, Baoqiang Xiang, Qing Bao, June-Yi Lee, 2024: Synchronous Eurasian heat extremes tied to boreal summer combined extratropical intraseasonal waves, npj climate and atmospheric science, vol. 7, 1, Article 169, doi: 10.1038/s41612-024-00714-1
4. Young-Min Yang, June-Yi Lee, Doo Young Lee, Bin Wang, 2024: Enhanced northward propagation of boreal summer intraseasonal oscillation in the western north Pacific linked to the tropical Indian Ocean warming, Climate Dynamics, vol. 62, pp. 9915 – 9925, doi: 10.1007/s00382-024-07438-1
5. Lina Song, Yuanlong Li, June-Yi Lee, Fan Wang, Jianing Wang, 2024: Seasonality of the intraseasonal variability in the upper equatorial western Pacific Ocean currents, Environmental Research Letters, vol. 19, 8, Article 084053, doi: 10.1088/1748-9326/ad657f
6. Anila Rani Jo, June-Yi Lee, Sahil Sharma, Sun-Seon Lee, 2024: Season-Dependent Atmosphere-Ocean Coupled Processes Driving SST Seasonality Changes in a Warmer Climate, Geophysical Research Letters, vol. 51, 11, e2023GL106953, doi: 10.1029/2023GL106953
7. Malte Meinshausen, Carl-Friedrich Schleussner, Kathleen Beyer, Greg Bodeker, Olivier Boucher, Josep G. Canadell, John S. Daniel, Aïda Diongue-Niang, Fatima Driouech, Erich Fischer, Piers Forster, Michael Grose, Gerrit Hansen, Zeke Hausfather, Tatiana Ilyina, Jarmo S. Kikstra, Joyce Kimutai, Andrew D. King, June-Yi Lee, Chris Lennard, Tabea Lissner, Alexander Nauels, Glen P. Peters, Anna Pirani, Gian-Kasper Plattner, Hans Pörtner, Joeri Rogelj, Maisa Rojas, Joyashree Roy, Bjørn H. Samset, Benjamin M. Sanderson, Roland Séférian, Sonia Seneviratne, Christopher J. Smith, Sophie Szopa, Adelle Thomas, Diana Urge-Vorsatz, Guus J. M. Velders, Tokuta Yokohata, Tilo Ziehn, and Zebedee Nicholls, 2024: A perspective on the next generation of Earth system model scenarios: towards representative emission pathways (REPs), Geoscientific Model Development, vol. 17, 11, pp. 4533-4559, doi: 10.5194/gmd-17-4533-2024
8. Young-Min Yang, Jongsoo Shin, So-Won Park, Jae-Heung Park, Soon-Il An, Jong-Seong Kug, Sang-Wook Yeh, June-Yi Lee, Bin Wang, Tim Li, Mari Im, 2024: Fast reduction of Atlantic SST threatens Europe-wide gross primary productivity under positive and negative CO2 emissions, npj climate and atmospheric science, vol. 7, article 117, doi: 10.1038/s41612-024-00674-6
9. BBjorn Stevens, Stefan Adami, Tariq Ali, Hartwig Anzt, Zafer Aslan, Sabine Attinger, Jaana Bäck, Johanna Baehr, Peter Bauer, Natacha Bernier, Bob Bishop, Hendryk Bockelmann, Sandrine Bony, Guy Brasseur, David N. Bresch, Sean Breyer, Gilbert Brunet, Pier Luigi Buttigieg, Junji Cao, Christelle Castet, Yafang Cheng, Ayantika Dey Choudhury, Deborah Coen, Susanne Crewell, Atish Dabholkar, Qing Dai, Francisco Doblas-Reyes, Dale Durran, Ayoub El Gaidi, Charlie Ewen, Eleftheria Exarchou, Veronika Eyring, Florencia Falkinhoff, David Farrell, Piers M. Forster, Ariane Frassoni, Claudia Frauen, Oliver Fuhrer, Shahzad Gani, Edwin Gerber, Debra Goldfarb, Jens Grieger, Nicolas Gruber, Wilco Hazeleger, Rolf Herken, Chris Hewitt, Torsten Hoefler, Huang-Hsiung Hsu, Daniela Jacob, Alexandra Jahn, Christian Jakob, Thomas Jung, Christopher Kadow, In-Sik Kang, Sarah Kang, Karthik Kashinath, Katharina Kleinen-von Königslöw, Daniel Klocke, Uta Kloenne, Milan Klöwer, Chihiro Kodama, Stefan Kollet, Tobias Kölling, Jenni Kontkanen, Steve Kopp, Michal Koran, Markku Kulmala, Hanna Lappalainen, Fakhria Latifi, Bryan Lawrence, June-Yi Lee, Quentin Lejeun, Christian Lessig, Chao Li, Thomas Lippert, Jürg Luterbacher, Pekka Manninen, Jochem Marotzke, Satoshi Matsouoka, Charlotte Merchant, Peter Messmer, Gero Michel, Kristel Michielsen, Tomoki Miyakawa, Jens Müller, Ramsha Munir, Sandeep Narayanasetti, Ousmane Ndiaye, Carlos Nobre, Achim Oberg, Riko Oki, Tuba Özkan-Haller, Tim Palmer, Stan Posey, Andreas Prein, Odessa Primus, Mike Pritchard, Julie Pullen, Dian Putrasahan, Johannes Quaas, Krishnan Raghavan, Venkatachalam Ramaswamy, Markus Rapp, Florian Rauser, Markus Reichstein, Aromar Revi, Sonakshi Saluja, Masaki Satoh, Vera Schemann, Sebastian Schemm, Christina Schnadt Poberaj, Thomas Schulthess, Cath Senior, Jagadish Shukla, Manmeet Singh, Julia Slingo, Adam Sobel, Silvina Solman, Jenna Spitzer, Philip Stier, Thomas Stocker, Sarah Strock, Hang Su, Petteri Taalas, John Taylor, Susann Tegtmeier, Georg Teutsch, Adrian Tompkins, Uwe Ulbrich, Pier-Luigi Vidale, Chien-Ming Wu, Hao Xu, Najibullah Zaki, Laure Zanna, Tianjun Zhou, and Florian Ziemen, 2024: Earth Virtualization Engines(EVE), Earth System Science Data, vol. 16, 4, pp. 2113-2133, doi: 10.5194/essd-16-2113-2024
10. Arjun Babu Nellikkattil, Travis Allen O’Brien, Danielle Lemmon, June-Yi Lee, and Jung-Eun Chu, 2024: Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets, Geoscientific Model Development, vol. 17, 1, pp. 301-320, doi: 10.5194/gmd-17-301-2024
11. Anna Pirani, Jan S. Fuglestvedt, Edward Byers, Brian O’Neill, Keywan Riahi, June-Yi Lee, Jochem Marotzke, Steven K. Rose, Roberto Schaeffer, Claudia Tebaldi, 2024: Scenarios in IPCC assessments: lessons from AR6 and opportunities for AR7, npj Climate Action, vol. 3, article 1, doi: 10.1038/s44168-023-00082-1
12. Young-Min Yang, Jeong-Hwan Kim, Jae-Heung Park, Yoo-Geun Ham, Soon-Il An, June-Yi Lee, Bin-Wang, 2023: Exploring dominant processes for multi-month predictability of western Pacific precipitation using deep learning, npj Climate and Atmospheric Science, vol. 6, 1, article 157, doi: 10.1038/s41612-023-00478-0
13. Arjun Babu Nellikkattil, June-Yi Lee, Bin Guan, Axel Timmermann, Sun-Seon Lee, Jung-Eun Chu, Danielle Lemmon, 2023: Increased amplitude of atmospheric rivers and associated extreme precipitation in ultra-high-resolution greenhouse warming simulations, Communications earth and environment, vol. 4, article 313, doi: 10.1038/s43247-023-00963-7
14. Kirsten L. Findell, Rowan Sutton, Nico Caltabiano, Anca Brookshaw, Patrick Heimbach, Masahide Kimono, Scott Osprey, Doug Smith, James S. Risbey, Zhou Wang, Lijing Cheng, Leandro B. Diaz, Markus G. Donat, Michael Ek, June-Yi Lee, Shoshiro Minobe, Matilde Rusticucci, Frederic Vitart, and Lin Wang, 2023: Explaining and Predicting Earth System Change A World Climate Research Program call to Action, Bulletin of the American Meteorological Society, vol. 104, 1, pp. E325 – E339, doi: 10.1175/BAMS-D-21-0280.1
15. Tamás Bódai, Sundaresan Aneesh, June-Yi Lee, Sun-Seon Lee, 2023: Decadal Indian Ocean Influence on the ENSO-Indian Monsoon Teleconnection Mostly Apparent, Journal of Geophysical Research: Atmosphere, vol. 128, 15, e2023JD038673, doi: 10.1029/2023JD038673
16. Piers M. Forster, Christopher J. Smith, Tristram Walsh, William F. Lamb, Robin Lamboll, Mathias Hauser, Aurélien Ribes, Debbie Rosen, Nathan Gillett, Matthew D. Palmer, Joeri Rogelj, Karina von Schuckmann, Sonia I. Seneviratne, Blair Trewin, Xuebin Zhang, Myles Allen, Robbie Andrew, Arlene Birt, Alex Borger, Tim Boyer, Jiddu A. Broersma, Lijing Cheng, Frank Dentener, Pierre Friedlingstein, José M. Gutiérrez, Johannes Gütschow, Bradley Hall, Masayoshi Ishii, Stuart Jenkins, Xin Lan, June-Yi Lee, Colin Morice, Christopher Kadow, John Kennedy, Rachel Killick, Jan C. Minx, Vaishali Naik, Glen P. Peters, Anna Pirani, Julia Pongratz, Carl-Friedrich Schleussner, Sophie Szopa, Peter Thorne, Robert Rohde, Maisa Rojas Corradi, Dominik Schumacher, Russell Vose, Kirsten Zickfeld, Valérie Masson-Delmotte, and Panmao Zhai, 2023: Indicators of Global Climate Change 2022: annual update of large-scale indicators of the state of the climate system and human influence, Earth System Science Data, vol. 15, 6, pp. 2295 – 2327, doi: 10.5194/essd-15-2295-2023
17. Zhen Liu, Sun-Seon Lee, Arjun Babu Nellikkattil, June-Yi Lee, Lan Dai, Kyung-Ja Ha, Christian L.E. Franzke, 2023: The East Asian Summer Monsoon Response to Global Warming in a High Resolution Coupled Model: Mean and Extremes, Asia-Pacific Journal of Atmospheric Sciences, vol. 59, pp. 29-45, doi: 10.1007/s13143-022-00285-2
18. Jun-Young Park, Fabian Schloesser, Axel Timmermann, Dipayan Choudhury, June-Yi Lee, Arjun Babu Nellikkattil, 2023: Future sea-level projections with a coupled atmosphere-ocean-ice-sheet model, Nature Communications, vol. 14, article 636, doi: 10.1038/s41467-023-36051-9
19. Pang-Chi Hsu, Jinhui Xie, June-Yi Lee, Zhiwei Zhu, Yan Li, Bin Chen, Shengjun Zhang, 2022: Multiscale interactions driving the devastating floods in Henan Province, China during July 2021, Weather and Climate Extremes, vol. 39, article 100541, DOI: 10.1016/j.wace.2022.100541
20. Lina Song, Fan Wang, Yuanlong Li, June-Yi Lee, 2022: Intraseasonal Variability of Surface Circulation in the Indo-Pacific Warm Pool Induced by Summer Monsoon Intraseasonal Oscillations, JGR Ocean, vol. 127, 11, e2022JC018843, DOI: 10.1029/2022JC018843
21. Hien X. Bui, Axel Timmermann, June-Yi Lee, Eric D. Maloney, Yi-Xian Li, Ji-Eun Kim, Jacquelyn Shuman, Sun-Seon Lee, and William R. Wieder, 2022: Summer midlatitude stationary wave patterns synchronize Northern Hemisphere wildfire occurrence, Geophysical Research Letters, vol. 49, 18, e2022GL099017, doi: 10.1029/2022GL099017
22. Doo Young Lee, June-Yi Lee, Young-Min Yang, Pang-Chi Hsu, Ji-Eun Kim, 2022: Dominant Processes for Dependence of Boreal Summer Intraseasonal Oscillation on El Niño Phases, Geophysical Research Letters, vol. 49, 14, e2022GL098669, DOI: 10.1029/2022GL098669
23. Young-Min Yang, Jae-Heung Park, Soon-il An, Sang-Wook Yeh, Zhiwei Zhu, Few Liu, Juan Li, June-Yi Lee, Bin Wang, 2022: Increased Indian Ocean-North Atlantic Ocean warming chain under greenhouse warming, Nature Communications, vol.13, 3789, DOI: 10.1038/s41467-022-31676-8
24. Anila Rani Jo, June-Yi Lee, Axel Timmermann, Fei-Fei Jin, Ryohei Yamaguchi, and Angeles Gallego, 2022: Future Amplification of Sea Surface Temperature Seasonality Due to Enhanced Ocean Stratification, Geophysical Research Letters, vol. 49, 9, e2022GL098607, DOI: 10.1029/2022GL098607
25. Tamás Bódai, June-Yi Lee, Aneesh Sundaresan, 2022: Sources of Nonergodicity for Teleconnections as Cross-Correlations, Geophysical Research Letters, vol. 49, 8, e2021GL096587, doi: 10.1029/2021GL096587
26. Sun-Seon Lee, Jung-Eun Chu, Axel Timmermann, Eui-Seok Chung, June-Yi Lee, 2021: East Asian climate response to COVID-19 lockdown measures in China, Scientific Reports, vol. 11, 16852, doi: 10.1038/s41598-021-96007-1
27. Pang-Chi Hsu, Zhen Fu, Hiroyuki Murakami, June-Yi Lee, Changhyun Yoo, Nathaniel C. Johnson, Chueh-Hsin Chang, Yu Liu, 2021: East Antarctic cooling induced by decadal changes in Madden-Julian oscillation during austral summer, Science Advances, vol. 7, 26, eabf9903, doi: 10.1126/sciadv.abf9903
28. Tamas Bodai, Gabor Drotos, Kyung-Ja Ha, June-Yi Lee, Timea Haszpra, Eui-Seok Chung, 2021: Nonlinear Forced Change and Nonergodicity: The Case of ENSO-Indian Monsoon and Global Precipitation Teleconnections, Frontier Earth Science, vol.8, article number 599785, doi: 10.3389/feart.2020.599785
29. Kyung-Sook Yun, June-Yi Lee, Axel Timmermann, Karl Stein, Malte F. Stuecker, John C. Fyfe, Eui-Seok Chung, 2021: Increasing ENSO-rainfall variability due to changes in future tropical temperature-rainfall relationship, Communications earth & environment, 2, article number 43, doi: 10.1038/s43247-021-00108-8
30. Bin Wang, Michela Biasutti, Michael P. Byrne, Christopher Castro, Chih-Pei Chang, Kerry Cook, Rong Fu, Alice M. Crimm, Kyung-Ja Ha, Harry Hendon, Akio Kitoh, R. Krishnan, June-Yi Lee, Jianping Li, Jan Liu, Aurel Moise, Salvatore Pascale, M. K. Roxy, Anti Seth, Chung-Hsiung Sui, Andrew Turner, Song Yang, Kyung-Sook Yun, Lixia Zhang, and Tianjun Zhou, 2021: Monsoon Climate Change Assessment, Bulletin of the American Meteorological Society, 102(1), E1-E19, doi:10.1175/BAMS-D-19-0335.1
31. Young-Min Yang, June-Yi Lee, Bin Wang, 2020: Dominant process for northward propagation of boreal summer intraseasonal oscillation over the western North Pacific, Geophysical Research Letters, 47(22), e2020GL089808, doi: 10.1029/2020GL089808.
32. William J. Merryfield, Johanna Baehr, Lauriane Batté, Emily J. Becker, Amy H. Butler, Caio A. S. Coelho, Gokhan Danabasoglu, Paul A. Dirmeyer, Francisco J. Doblas-Reyes, Daniela I. V. Domeisen Laura Ferranti, Tatiana Ilynia, Arun Kumar, Wolfgang A. Müller, Michel Rixen; Andrew W. Robertson; Doug M. Smith; Yuhei Takaya; Matthias Tuma; Frederic Vitart; Christopher J. White; Mariano S. Alvarez; Constantin Ardilouze; Hannah Attard; Cory Baggett; Magdalena A. Balmaseda, Asmerom F. Beraki, Partha S. Bhattacharjee, Roberto Bilbao, Felipe M. de Andrade, Michael J. DeFlorio, Leandro B. Díaz, Muhammad Azhar Ehsan, Georgios Fragkoulidis, Sam Grainger, Benjamin W. Green, Momme C. Hell, Johnna M. Infanti, Katharina Isensee, Takahito Kataoka, Ben P. Kirtman, Nicholas P. Klingaman, June-Yi Lee, Kirsten Mayer, Roseanna McKay, Jennifer V. Mecking, Douglas E. Miller, Nele Neddermann, Ching Ho Justin Ng, Albert Ossó, Klaus Pankatz, Simon Peatman, Kathy Pegion, Judith Perlwitz, G. Cristina Recalde-Coronel, Annika Reintges, Christoph Renkl, Balakrishnan Solaraju-Murali, Aaron Spring, Cristiana Stan, Y. Qiang Sun, Carly R. Tozer, Nicolas Vigaud, Steven Woolnough, Stephen Yeager, 2020: Current and Emerging Developments in Subseasonal to Decadal Prediction, Bull. Amer. Meteor. Soc., 101(6), E869–E896, doi: 10.1175/BAMS-D-19-0037.1.
33. Roman Olson, Axel Timmermann, June-Yi Lee, Soon-Il An, 2020: A low order dynamical model for runoff predictability, Climate Dynamics, 56(1-2), 399-422, doi: 10.1007/s00382-020-05479-w.
34. J.-H. Yoo, S. Moon, K.-J. Ha, K.-S. Yun, J.-Y. Lee, 2020: Cases for the sole effect of the Indian Ocean Dipole in the rapid phase transition of the El Niño–Southern Oscillation, Theoretical and Applied Climatology, doi: 10.1007/s00704-020-03265-6.
35. S.‐R. Yeo, M.H. Kwon, J.-Y. Lee, 2020: The non‐linear relationship between the western North Pacific anticyclonic circulation and Korean summer precipitation on subseasonal timescales, Climate Dynamics, 54, 525-541, doi: 10.1007/s00382-019-05013-7.
36. Y.-M. Yang, J.-Y. Lee, and B. Wang, 2019: The Tibetan Plateau Uplift is Crucial for Eastward Propagation of Madden-Julian Oscillation, Scientific Reports, 9, doi: 10.1038/s41598-019-51461-w.
37. R. Olson, S.-I. An, Y. Fan, W. C., J. P. Evans, and J.-Y. Lee, 2019: A novel method to test non-exclusive hypotheses applied to Arctic ice projections from dependent models, Nature Communications, doi: 10.1038/s41467-019-10561-x.
38. Y.-M. Yang, B. Wang, and J.-Y. Lee, 2019: Mechanisms of Northward Propagation of Boreal Summer Intraseasonal Oscillation Revealed by Climate Model Experiments, Geophysical Research Letters, 46(6), 3417-3425, doi: 10.1029/2018GL081612.
39. A. Timmermann, S.-I. An, J.-S. Kug, F.-F. Jin, W. Cai, A. Capotondi, K. Cobb, M. Lengaigne, M. J. McPhaden, M. F. Stuecker, K. Stein, A. T. Wittenberg, K.-S. Yun, T. Bayr, H.-C. Chen, Y. Chikamoto, B. Dewitte, D. Dommenget, P. Grothe, E. Guilyardi, Y.-G. Ham, M. Hayashi, S. Ineson, D. Kang, S. Kim, W.M. Kim, J.-Y. Lee, T .Li, J.-J. Luo, S. McGregor, Y. Planton, S. Power, H. Rashid, H.-L. Ren, A. Santoso, K. Takahashi, A. Todd, G. Wang, G. Wang, R. Xie, W.-H. Yang, S.-W. Yeh, J. Yoon, E. Zeller, and X. Zhang, 2018: El Niño–Southern Oscillation complexity, Nature, 559, 535-545, doi: 10.1038/s41586-018-0252-6.
40. Y.-W. Seo, K.-S. Yun, J.-Y. Lee, Y.-W. Lee, K.-J. Ha, and J.-G. Jhun, 2018: Future changes due to model biases in probabilities of extreme temperatures over East Asia using CMIP5 data, International Journal of Climatology, 38, 1177-1188, doi: 10.1002/joc.5233.
41. S. Li, S. Park, J.-Y. Lee, K.-J. Ha, M.-K. Park, C. O. Jo, H. Oh, J. Mühle, K.-R. Kim, S. A. Montzka, S. O’Doherty, P. B. Krummel, E. Atlas, B. R. Miller, F. Moore, R. F. Weiss and S. C. Wofsy, 2018: Chemical Evidence of Inter-Hemispheric Air Mass Intrusion into the Northern Hemisphere Mid-Latitudes,  Scientific Report, 8, 4669, doi: 10.1038/s41598-018-22266-0.
42. P.C. Hsu, J.-Y. Lee, K.J. Ha, and C.H. Tsou, 2017: Influences of Boreal Summer Intraseasonal Oscillation on Heat Waves in Monsoon Asia. Journal of Climate, doi: 10.1175/JCLI-D-16-0505.1.
43. J.-E. Chu, B. Wang, J.-Y. Lee, and K.-J. Ha*, 2017: Boreal summer intraseasonal phases identified by nonlinear multivariate empirical orthogonal function-based self-organizing map (ESOM) analysis. J. Climate, in press, doi: 10.1175/JCLI-D-16-0660.1.
44. J.-Y. Lee et al., 2017: the long-term variability of Changma in the East Asian summer monsoon system: a review and revisit. Asia-Pac. J. Atmos. Sci. 53, 257-272, doi: 10.1007/s13143-017-0032-5.
45. K.-J. Ha*, J.-E. Chu, J.-Y. Lee, and K.-S. Yun, 2017: Interbasin coupling between the tropical Indian and Pacific Ocean on inter annual timescale: observation and CMIP5 reproduction. Clim. Dyn. 48, 459-475, doi: 10.1007/s00382-016-3087-6.
46. R. Ding, J. Li, Y.-H. Tseng, K.-J. Ha, S. Zhao, and J.-Y. Lee, 2016: Interdecadal change in the lagged relationship between the Pacific-South American pattern and ENSO. Climate Dyn. 47, 2867-2884, doi: 10.1007/s00382-016-3002-1.
47. K.-S. Yun, Y.-W. Seo, K.-J. Ha*, J.-Y. Lee, and A. Kitoh, 2016: The seasonally varying effect of the Tibetan Plateau on Northern Hemispheric blocking frequency and amplitude. Climate Dyn. 47, 2527-2541, doi: 10.1007/s00382-016-2981-2.
48. J. Choi, S.-W. Son, K.-H. Seo, J.-Y. Lee, and H.-S. Kang, 2016: Potential for long-lead prediction of the western North Pacific monsoon circulation beyond seasonal time scales. GRL. 43, 1736-1743, doi: 10.1002/2016GL067902.
49. W. Chen, J.-Y. Lee*, K.-J. Ha, K.-S. Yun, and R. Lu, 2016: Intensification of the Western North Pacific Anticyclone response to the short decaying El Nino event due to greenhouse warming. J. Climate. 29, 3607-3627, doi: 10.1175/JCLI-D-15-0195.1.
50. P.-C. Hsu*, J.-Y. Lee, and K.-J. Ha, 2016: Influence of boreal summer intraseasonal oscillation on rainfall extremes in southern China, Int. J. Climatol. 36, 1403-1412, doi: 10.1002/joc.4433.
51. J. Choi, S.-W. Son*, Y.-G. Ham, J.-Y. Lee, and H.-M. Kim, 2016: Seasonal-to-interannual prediction skills of near-surface air temperature in the CMIP5 decadal hindcast experiments. J. Climate, 29, 1511-1527, doi: 10.1175/JCLI-D-15-0182.1.
52. J.-Y. Lee and K.-J. Ha*, 2015: Understanding of interdecadal changes in variability and predictability of the Northern Hemisphere summer tropical-extratropical teleconnection. J. Clim. 28, 8634-8647, coi: 10.1175/JCLI-D-15-0154.1.
53. S.-S. Lee*, B. Wang, D. E. Waliser, J. M. Neena, and J.-Y. Lee, 2015: Predictability and prediction skill of the boreal summer intraseasonal oscillation in the Intraseasonal Variability Hindcast Experiment. Clim. Dyn. 45, 2123-2135, doi: 10.1007/s00382-014-2461-5.
54. W. Chen, J.-Y. Lee, R. Lu, B. Dong, and K.-J. Ha*, 2014: Intensified impact of Tropical Atlantic SST on the Western North Pacific summer climate under a weakened Atlantic thermohaline circulation. Clim. Dyn. 45, 2033-2046. doi: 10.1007/s00382-014-2454-4.
55. J.-Y. Lee, B. Wang, K.-H. Seo*, K.-J. Ha, A. Kitoh, and J. Liu, 2015: Effects of mountain uplift on global monsoon precipitation. Asia-Pacific J. Atmos. Sci. 51, 275-290, doi: 10.1007/s13143-015-0077-2.
56. K.-H. Seo*, J.-H. Son, J.-Y. Lee, and H.-S. Park, 2015: Northern East Asian monsoon precipitation revealed by airmass variability and its prediction. J. Climate. 28, 6221-6223. doi: 10.1175/JCLI-D-14-00526.1.
57. S.-K. Min, S.-W. Son, K.-H. Seo, J.-S. Kug*, S.-I. An, Y.-S. Choi, J.-H. Jeong, B.-M. Kim, J.-W. Kim, Y.-H. Kim, J.-Y. Lee, and M.-I. Lee, 2015: Changes in weather and climate extremes over Korea and possible causes: A review. Asia-Pac. J. Atmos. Sci. 51, 103-121, doi:10.1007/s13143-015-0066-5.
58. A. Alessandri*, A. Borrelli, A. Cherchi, S. Materia, A. Navarra, J.-Y. Lee, and B. Wang, 2015: Prediction of Indian summer monsoon onset using dynamical sub-seasonal forecasts: effects of realistic initialization of the atmosphere. Mon. Wea. Rev. 143, 778-793, doi: 10.1175/MWR-D-14-00187.1.
59. X. Fu*, W. Wang, J.-Y. Lee, B. Wang, K. Kikuchi, J. Xu, J. Li, and S. Weaver, 2015: Distinctive roles of air-sea coupling on different MJO events: A new perspective revealed from the DYNAMO/CINDY Field Campaign. Mon. Wea. Rev. 143, 794-812, doi: 10.1175/MWR-D-14-00221.1
60. H.-I. Jeong, J.-B. Ahn, J.-Y. Lee* A. Alessandri, and H. H. Hendon, 2015: Interdecadal change of interannual variability and predictability of two types of ENSO. Clim. Dyn. 44, 1073-1091, doi: 10.1007/s00382-014-2127-3.
61. B. Wang, J.-Y. Lee*, and B. Xiang, 2015: Asian summer monsoon rainfall predictability: A predictable mode analysis. Clim. Dyn. 44, 61-74. doi: 10.1007/s00382-014-2218-1.
62. Y.-W. Seo, H.-J. Kim, K.-S. Yun, J.-Y. Lee, K.-J. Ha*, and J.-Y. Moon, 2014: Future change of extreme temperature climate indices over East Asia with uncertainties estimation in the CMIP5. Asia-Pacific J. Atmos. Sci., 50(1), 609-624.
63. H. J. Moon, B.-H. Kim, H.-E. Oh, J.-Y. Lee, and K.-J. Ha*, 2014: Future change using the CIMP5 MME and Best models: I. Near and long-term future change of temperature and precipitation over East Asia. Atmos. 24(3), 403-417.
64. A. Alessandri*, M. De Felice, N. Zeng, A. Mariotti, Y. Pan, A. Cherchi, J.-Y. Lee, B. Wang, K.-J. Ha, P. Ruti, and V. Artale, 2014: Robust assessment of the expansion and retreat of Mediterranean climate in the 21st century. Nature-Scientific Reports, 4, doi: 10.1038/sprep07211.
65. J. M. Neena*, X. Jiang, D. Waliser, J.-Y. Lee, and B. Wang, 2014: Eastern Pacific intraseasonal variability: A predictability perspective. J. Clim. 27, 8869-8883, doi: 10.1175/JCLI-D-14-00336.1.
66. B. Xiang, B. Wang, J. Li, M. Zhao, and J.-Y. Lee, 2014: Understanding the anthropogenically forced change of equatorial Pacific trade winds in coupled climate models. J. Clim., 27, 8510-8526, doi: 10.1175/JCLI-D-14-00115.1.
67. K.-S. Yun, Y.-W. Seo, K.-J. Ha, J.-Y. Lee*, and Y. Kajikawa, 2014: Interdecadal changes in the Asian winter monsoon variability and its relationship with ENSO and AO. Asia-Pacific J. Atmos. Sci., 50, 531-540, doi: 10.1007/s13143-014-0042-5.
68. K.-S. Yun, J.-Y. Lee, and K.-J. Ha*, 2014: Recent intensification of the South and East Asian monsoon contrast associated with an increase in the zonal tropical SST gradient. J. Geophys. Res., 119, 8104-8116, doi: 10.1002/2014JD021692.
69. X. Jia, J.-Y. Lee*, L. Hai, A. Alessandri, and K.-J. Ha, 2014: Interdecadal change in the Northern Hemisphere seasonal climate prediction skill: Part II. Predictablity and Prediction Skill. Clim. Dyn., 43, 1611-1630, doi: 10.1007/s00382-014-2084-x.
70. X. Jia, J.-Y. Lee*, L. Hai, A. Alessandri, and K.-J. Ha, 2013: Interdecadal change in the Northern Hemisphere seasonal climate prediction skill: Part I. The leading forced mode of atmospheric circulation. Clim. Dyn., 43, 1595-1609, doi: 10.1007/s00382-013-1988-1.
71. J. E. Chu, K.-J. Ha, J.-Y. Lee*, B. Wang, B.-H. Kim, and C. E. Chung, 2013: Future change of the Indian Ocean basin0wide and dipole modes in the CMIP5. Clim. Dyn. 43, 535–551, doi: 10.1007/s00382-013-2002-7.
72. B. Xiang*, B. Wang, A. Lauer, J.-Y. Lee, and Q. Ding, 2013: Upper tropospheric warming intensifies sea surface warming. Clim. Dyn. 43, 259-270, doi: 10.1007/s00382-013-1928-0.
73. J. M. Neena*, J.-Y. Lee, D. Waliser, B. Wang, and X. Jiang, 2014: Predictability of the Madden-Julian Oscillation in the Intraseasonal Variability Hindcast Experiment (ISVHE). J. Clim. 4531-4543, doi: 10.1175/JCLI-D-13-00624.1.
74. Lee, J.-Y., B. Wang, K.-H. Seo* J.-S. Kug, Y.-S. Choi, Y. Kosaka, and K.-J. Pa, 2014: Future change of Northern Hemisphere summer tropical-extratropical teleconnection in CMIP5 models. J. Clim. 27, 3643-3664, doi: 10.1175/JCLI-D-13-00261.1.
75. J. S. Chowdary, R. Attada, J.-Y. Lee*, Y. Kosaka, J.-J. Luo, C. Gnanaseelan, A. Parekh, and D.-Y. Lee, 2014: Seasonal prediction of distinct climate anomalies in the summer 2010 over the tropical Indian Ocean and South Asia. J. Meteorol. Soc. Jpn. 92, 1-16.
76. B. Wang, S.-Y. Yim, J.-Y. Lee*, J. Liu, and K.-J. Ha, 2014: Future change of Asian-Australian monsoon under RCP4.5 anthropogenic warming scenario. Clim Dyn. 83-100, doi: 10.1007/s00382-013-1769-x.
77. J.-Y. Lee., and B. Wang*, 2014: Future change of global monsoon in the CMIP5. Clim Dyn. 101-119, doi: 10.1007/s00382-012-1564-0.
78. K. P. Sooraj*, K.-H. Seo, B. Wang, and J.-Y. Lee, 2012: Recent tendency to drought events over the Central Indian region: Pacific Ocean origin and insights from moisture budgets. International J. of Climatology. 33, 2781-2798.
79. X. Fu*, J.-Y. Lee, P. C. Hsu, H. Taniguchi, B. Wang, W. Wang, and S. Weaver, 2013: Multi-model MJO forecasting during DYNAMO/CINDY period. Clim Dyn, 41, 1067-1081.
80. Fu, X.*, J.-Y. Lee, B. Wang, W. Wang, and F. Vitart, 2013: Intraseasonal forecasting of Asian summer monsoon in four operational and research models. J. Climate, 26, 4186-4203.
81. Lee, J.-Y., S.-S. Lee, B. Wang, K.-J. Ha*, and J.-G. Jhun, 2013: Seasonal prediction and predictability of the Asian winter temperature variability. Clim Dyn, 41, 573-587.
82. S.-S. Lee, J.-Y. Lee*, K.-J. Ha, B. Wang, A. Kitoh, Y. Kajikawa, and M. Abe, 2013: Role of Tibetan Plateau on climatological annual variation of mean atmospheric circulation and storm track activity. J. Climate, 26, 5270-5286, doi: 10.1175/JCLI-D-12-00213.1.
83. Moon, J.-Y., B. Wang, K.-J. Ha*, and J.-Y. Lee, 2013: Teleconnections associated with Northern Hemisphere summer monsoon intraseasonal oscillation. Clim Dyn, 40 (11-12), 2761-2774, doi: 10.1007/s00382-012-1394-0.
84. S. S. P. Shen, J.-Y. Lee, and W. K. M. Lau, 2013: Bayesian optimal blending and credible interval estimation for satellite and ground rainfall observations. Adv. Adapt. Data. Anal., 5(2), 1350006, doi: 10.1142/S1793536913500064.
85. B. Wang*, B. Xiang, and J.-Y. Lee, 2013: Subtropical high predictability establishes a promising way for monsoon and tropical storm prediction. PNAS, 110 (8), 2718-2722, doi: 10.1073/pnas.1214626110.
86. J. Liu, B. Wang, M. Cane*, S.-Y. Yim, and J.-Y. Lee, 2013: Divergent global precipitation changes induced by natural versus anthropogenic forcing. Nature, 493, 656-659, doi: 10.1038/nature11784.
87. J.-Y. Lee*, B. Wang, M. Wheeler, X. Fu, D. Waliser, and I.-S. Kang, 2013: Real-time multivariate indices for the boreal summer intraseasonal oscillation over the Asian summer. Clim Dyn, 40, 493–509, doi: 10.1007/s00382-012-1544-4.
88. Y. Kosaka*, J. S. Chowdary, S.-P. Xie, Y.-M. Min, and J.-Y. Lee, 2012: Limitations of seasonal predictability for summer climate over East Asia and the Northwestern Pacific. J. Climate, 25, 7574-7589. doi: 10.1175/JCLI-D-12-00009.1.
89. S.-W. Yeh, Y.-G. Ham*, J.-Y. Lee, 2012: Changes in the tropical Pacific SST trend from CMIP3 to CMIP5 and its implication of ENSO. J. Climate, 25, 7764-7771, doi: 10.1175/JCLI-D-12-00304.1.
90. K.-J. Ha, J.-E. Chu, J.-Y. Lee*, B. Wang et al., 2012: What causes cool summer over northern Central Asia, East Asia, and central North America during 2009? Environ. Res. Lett., 7. 44015, doi: 10.1088/1748-9326/7/4/044015.
91. X. Jia*, H. Lin, J.-Y. Lee, and B. Wang, 2012: Season-dependent forecast skill of the dominant atmospheric circulation patterns over the Pacific North-American region. J. Climate, 25, 7248-7265, Doi:10.1175/JCLI-D-11-00522.1.
92. J. Liu*, B. Wang, S.-Y. Yim, J.-Y. Lee, J.-G. Jhun, and K.-J. Ha, 2012: What drives the global summer monsoon over the past millennium? Clim. Dyn., 39, 1063-1072.
93. J.-S. Kug, Y.-G. Ham*, J.-Y. Lee, and F.-F. Jin, 2012: Improved simulation of two types of El Nino in CMIP5 models. Environ. Res. Lett. 7, 034002, doi: 10.1088/1748-9326/7/3/034002.
94. Wang, H., B. Wang, F. H., Q. Ding, and J.-Y. Lee, 2012: Interdecadal change of the boreal summer circumglobal teleconnection (1958-2010). Geophys Res Lett, 39, L12704, doi:10.1029/2012GL052371
95. Lee, S.-S., J.-Y. Lee, B. Wang, K.-J. Ha*, K.-Y. Heo et al. 2012: Interdecadal changes in the storm track activity over the North Pacific and North Atlantic. Clim Dyn, 39, 313-327.
96. Jeong, H.-I., D.-Y. Lee, K. Ashok*, J.-B. Ahn, J.-Y. Lee et al. 2012: Assessment of the APCC coupled MME suite in predicting the distinctive climate impacts of two flavors of ENSO during boreal winter. Clim Dyn, 39, 475-493.
97. Hsu, P.-C.*, T. Li, Y.-C. Lin, M.-M. Lu, and J.-Y. Lee, 2012: A spatial-temporal projection method for seasonal prediction of spring rainfall in Northern Taiwan. J. Meteor. Soc. Japan, 90(2), 179-190.
98. Sohn, S.-J., Y.-M. Min, J.-Y. Lee*, C.-Y. Tam et al. 2012: Assessment of probabilistic long-lead prediction of the APCC multi-model system and statistical model for the Asian summer monsoon precipitation (1983-2010). JGR, 117, D04102, doi: 10.1029/2011JD016308.
99. Lee, S.-S., J.-Y. Lee, B. Wang, F.-F. Jin, W.-J. Lee, and K.-J. Ha*, 2011: A comparison of climatological subseasonal variations in the wintertime storm track activity between the North Pacific and Atlantic: local energetics and moisture effect. Clim Dyn, 37, 2455-2469.
100. J.-Y. Lee*, B. Wang, Q. Ding, K.-J. Ha, J.-B. Ahn, A. Kumar, B. Stern, and O. Alves, 2011: How predictable is the northern hemisphere summer upper-tropospheric circulation? Clim Dyn, 37, 1189-1203.
101. X. Fu*, B. Wang, J.-Y. Lee, W. Wang, and L. Gao, 2011: Sensitivity of dynamical intraseasonal prediction skills to different initial conditions. Mon Wea Rev, 139, 2572-2592.
102. K.-H. Seo, J.-H. Seo, and J.-Y. Lee, 2011: A new look at Changma, Atmos Kor Meteor Soc, 21(1), 109-121.
103. Lee, S.-S., J.-Y. Lee*, K.-J. Ha, B. Wang. J. K. E. Schemm, 2011: Deficiencies and possibilities for long-lead coupled climate prediction of the Western North Pacific-East Asian summer monsoon. Clim Dyn, 36, 1173-1188, doi: 10.1007/s00382-010-0832-0.
104. J.-Y. Lee*, B. Wang, I.-S. Kang, J. Shukla et al., 2010: How are seasonal prediction skills related to models’ performance on mean state and annual cycle? Clim. Dyn, 35, 267-283, doi: 10.1007/s00382-010-0857-4.
105. Chowdary, J.*, S.-P. Xie, J.-Y. Lee, Y. Kosaka, and B. Wang, 2010: Predictability of summer Northwest Pacific climate in eleven coupled model hindcasts: local and remote forcing. J. Geophys. Res., 115, D22121, doi: 10.1029/2010JD014595.
106. B. Wang*, J.-Y. Lee, J. Shukla, I.-S. Kang, C.-K. Park and et al., 2009: Advance and prospectus of seasonal prediction: Assessment of APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980-2004). Clim. Dyn. 33, 93-117.
107. Fu, X.*, B. Wang, Q. Bao, P. Liu, and J.-Y. Lee, 2009: Impacts of initial conditions on monsoon intraseasonal forecasting, Geophys. Res. Lett., 36, L08801, doi: 10.1029/2009GL037166.
108. B. Wang*, J.-Y. Lee, I.-S. Kang, J. Shukla, J.-S. Kug, A. Kumar, J. Schemm, J.-J. Luo, T. Yamagata, and C.-K. Park, 2008: How accurately do coupled climate models predict the leading modes of Asian-Australian monsoon interannual variability? Clim. Dyn. 30, 605-619.
109. J.-S. Kug*, J.-Y. Lee, I.-S. Kang, B. Wang, and C.-K. Park, 2008: Optimal multi-model ensemble method in seasonal climate prediction. Asian Pacific J. Atmos. Sci, 44, 259-267.
110. J.-S. Kug*, J.-Y. Lee, and I.-S. Kang, 2008: Systematic error correction of dynamical seasonal prediction using a stepwise pattern project method (SPPM). Mon. Wea. Rev. 136, 3501-3512.
111. H.-M. Kim*, I.-S. Kang, B. Wang, and J.-Y. Lee, 2008: Interannual variations of the boreal summer Intraseasonal variability predicted by ten atnmosphere-ocean coupled models. Clim. Dyn., 30. 485-496.
112. J.-S. Kug*, J.-Y. Lee, and I.-S. Kang, 2007: Global sea surface temperature prediction using multi-model ensemble. Mon Wea Rev, 135, 3239-3247.
113. J.-S. Kug*, I.-S. Kang, J.-Y. Lee, and J.-G. Jhun, 2004: A statistical approach to Indian Ocean sea surface temperature prediction using a dynamical ENSO prediction. Geophys. Res. Lett. 31:09212, doi: 10.1029.
114. I.-S. Kang*, J.-Y. Lee, and C.-K. Park, 2004: Potential predictability of summer mean precipitation in a dynamical seasonal prediction system with systematic error correction. J. Climate, 17, 834-844.
115. K.-M. Lau*, J.-Y. Lee, K.-M. Kim, and I.-S. Kang, 2004: The North Pacific as a regulator of summertime climate over Eurasia and North America. J. Climate 17, 819-833.
116. W. Bin*, I.-S. Kang, and J.-Y. Lee, 2004: Ensemble simulations of Asian-Australian monsoon variabiliy by 11 AGCMs. J. Climate 17, 803-818.
117. C.-H. Ho*, J.-Y. Lee, M.-H. Ahn, and H.-S. Lee, 2003: A sudden change in summer rainfall characteristics in Korea during the late 1970s. Int. J. Climatol. 23, 117-128.
118. J.-Y. Lee, I.-S. Kang, and C.-H. Ho, 1999: A statistical model for the long-range forecast of spring temperature in Korea. J. Korean Meteor. Soc., 35, 372-383.