Son, Seok-Woo

Advances in the Subseasonal Prediction of Extreme Events: Relevant Case Studies across the Globe

Domeisen, D. I. V., White, C. J., Afargan-Gerstman, H., Muñoz, Á. G., Janiga, M. A., Vitart, F., Wulff, C. O., Antoine, S., Ardilouze, C., Batté, L., et al. (2022) · Bulletin of the American Meteorological Society

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 117

Deep learning for bias correction of MJO prediction

Kim, H., Ham, Y. G., Joo, Y. S., & Son, S. W. (2021) · Nature Communications

Climate variability and modelsMeteorological Phenomena and Simulations

Cited by 92

Long-range prediction and the stratosphere

Scaife, A. A., Baldwin, M. P., Butler, A. H., Charlton-Perez, A. J., Domeisen, D. I. V., Garfinkel, C. I., Hardiman, S. C., Haynes, P., Karpechko, A. Y., Lim, E.-P., et al. (2022) · Atmospheric Chemistry and Physics

Climate variability and modelsAtmospheric Ozone and Climate

Cited by 85

Tropospheric jet response to Antarctic ozone depletion: An update with Chemistry-Climate Model Initiative (CCMI) models

Son, S.-W., Han, B.-R., Garfinkel, C. I., Kim, S.-Y., Park, R., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Butchart, N., Chipperfield, M. P., et al. (2018) · Environmental Research Letters

Atmospheric Ozone and ClimateClimate variability and models

Cited by 58

Ensemble size versus bias correction effects in subseasonal-to-seasonal (S2S) forecasts

Han, J.-Y., Kim, S.-W., Park, C.-H., & Son, S.-W. (2023) · Geoscience Letters

Meteorological Phenomena and SimulationsClimate variability and models

Cited by 11