Possibilities for Improvement in Long-term Predictions of the Operational Climate Prediction System (GloSea6) for Spring by including Atmospheric Chemistry-Aerosol Interactions over East Asia

Author:

,Song Hyunggyu,Youn Daeok,Lee Johan,Shin Beomcheol

Publisher

The Korean Earth Science Society

Reference50 articles.

1. Arribas, A. , Glober, M. , Maidens, A. et al.,2011, The GloSea4 Ensemble Prediction System for Seasonal Forecasting, Monthly Weather Review, 139, 1891-1910.

2. Best, M.J. , Pryor, M. , Clark, D.B. et al.,2011, The Joint UK Land Environment Simulator (JULES), model description-Part 1: Energy and water fluxes. Geoscientific Model Development, 4, 677-699.

3. Brown, A. , Milton, S. , Cullen, M. et al.,2012, Unified modeling and prediction of weather and climate: A 25- year journey, Bulletin of American Meteorological Society, 93, 1865-1877.

4. Chang, P.H. , Hwang, S.O. , Choo, S.H. et al.,2021, Global Ocean Data Assimilation and Prediction System in KMA: Description and Assessment, Atmosphere, Korean Meteorological Society, 31(2), 229-240.

5. Cho, Y.J. , Lee, H.C. , Lim, B.H. , and Kim, S.B. et al.,2019, Classification of Weather Patterns in the East Asia Region using the K-means Clustering Analysis, Atmosphere, Korean Meteorological Society, 29(4), 451- 461.

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