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Kang, Eui-Jong

Sohn, Byung-Ju

Kim, Wonho

Kwon, In-Hyuk

Lee, Sihye

Song, Hwan-Jin

Noh, Young-Chan

Funding for this research was provided by:

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (RS-2025-02633368)

R&D project on the Development of a Next-generation Data Assimilation System of the Korea Institute of Atmospheric Prediction Systems funded by the Korea Meteorological Administration (KMA2020-02211)

R&D project on the Development of a Next-generation Data Assimilation System of the Korea Institute of Atmospheric Prediction Systems funded by the Korea Meteorological Administration (KMA2020-02211)

R&D project on the Development of a Next-generation Data Assimilation System of the Korea Institute of Atmospheric Prediction Systems funded by the Korea Meteorological Administration (KMA2020-02211)

Global - Learning & Academic research institution for Master’s·PhD students, and Postdocs (LAMP) Program of the NRF grant funded by the Ministry of Education (RS-2023-00301914)

National Research Foundation of Korea (NRF) grants funded by the Korea government (RS-2023-00210362)

Text and Data Mining valid from 2026-01-06

Version of Record valid from 2026-01-06