ProfileAlumni

Na-Yeon Shin 신나연

Ph.D., 2024

Current position: Samsung

Research Interests

01El Niño–Southern Oscillation
02Air–sea interaction
03Climate dynamics
04Deep learning

Education

2024Ph.D., Pohang University of Science and Technology (POSTECH), South Korea
2019B.S., Atmospheric Science, Pusan National University, South Korea

Awards

2022Best Poster Award in Climate Session, Korean Meteorological Society Spring Conference
2022Encouragement Prize for the Best Graduate Student, BK21 FOUR
2021Best Oral Presentation, Ocean and Atmosphere Science Interdisciplinary Studies (OASIS), Korea Hydrographic and Oceanographic Agency
2020Best Poster Award in Climate Session, Korean Meteorological Society Fall Conference
2019–2020Kwanjeong Educational Foundation Scholarship

Publications in the lab list 9

Publications

Matched automatically by author name.

284

Ko, J., Shin, N.-Y., Kam, J., Ham, Y.-G., Kug, J.-S. (2025)

A low-dimensional recursive deep learning model for El Niño-Southern Oscillation simulation

npj Climate and Atmospheric Science 8(1), 159
276

Geng, X., Kug, J.-S., Shin, N.-Y., Zhang, W., Chen, H.-C. (2024)

On the spatial double peak of the 2023–2024 El Niño event

Communications Earth & Environment 5(1), 691
273

Shin, N.-Y., Kang, D., Kim, D., Lee, J.-Y., Kug, J.-S. (2024)

Data-driven investigation on the boreal summer MJO predictability

npj Climate and Atmospheric Science 7(1), 248
270

Kim, G.-I., Oh, J.-H., Shin, N.-Y., An, S.-I., Yeh, S.-W., Shin, J., Kug, J.-S. (2024)

Deep ocean warming-induced El Niño changes

Nature Communications 15(1), 6225
253

Shin, N.-Y., Kim, D., Kang, D., Kim, H., Kug, J.-S. (2024)

Deep learning reveals moisture as the primary predictability source of MJO

npj Climate and Atmospheric Science 7(1), 11
250

Pathirana, G., Shin, N.-Y., Wu, Y.-K., Kwon, M., Kug, J.-S. (2024)

Intermodel relation between present-day warm pool intensity and future precipitation changes

Climate Dynamics 62(1), 345-355
225

Shin, N.-Y., Kug, J.-S., Stuecker, M. F., Jin, F.-F., Timmermann, A., Kim, G.-I. (2022)

More frequent central Pacific El Niño and stronger eastern pacific El Niño in a warmer climate

npj Climate and Atmospheric Science 5(1), 101
219

Shin, N.-Y., Ham, Y.-G., Kim, J.-H., Cho, M., Kug, J.-S. (2022)

Application of Deep Learning to Understanding ENSO Dynamics

Artificial Intelligence for the Earth Systems 1(4)
184

Shin, N.-Y., Kug, J.-S., McCormack, F. S., Holbrook, N. J. (2021)

The Double-Peaked El Niño and Its Physical Processes

Journal of Climate 34(4), 1291-1303