Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Na-Yeon Shin"'
Autor:
Geon-Il Kim, Ji-Hoon Oh, Na-Yeon Shin, Soon-Il An, Sang-Wook Yeh, Jongsoo Shin, Jong-Seong Kug
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract The deep ocean, a vast thermal reservoir, absorbs excess heat under greenhouse warming, which ultimately regulates the Earth’s surface climate. Even if CO2 emissions are successfully reduced, the stored heat will gradually be released, res
Externí odkaz:
https://doaj.org/article/00a368d1fcce479581ec2a8ddd3f794b
Publikováno v:
npj Climate and Atmospheric Science, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract The Madden-Julian Oscillation (MJO) is the dominant mode of tropical intraseasonal variability that interacts with many other Earth system phenomena. The prediction skill of the MJO in many operational models is lower than its potential pred
Externí odkaz:
https://doaj.org/article/8d1416fe1b4c4472b6e139abc0b0abea
Publikováno v:
npj Climate and Atmospheric Science, Vol 5, Iss 1, Pp 1-8 (2022)
Abstract El Niño events exhibit rich diversity in their spatial patterns, which can lead to distinct global impacts. Therefore, how El Niño pattern diversity will change in a warmer climate is one of the most critical issues for future climate proj
Externí odkaz:
https://doaj.org/article/5f454406695e48ccaab50de92fe67f3c
Autor:
So-Hyun Park, Sun-Woo Yun, So-Eun Jeon, Na-Eun Park, Hye-Yeon Shim, Yu-Rim Lee, Sun-Jin Lee, Tae-Rim Park, Na-Yeon Shin, Min-Jin Kang, Il-Gu Lee
Publikováno v:
IEEE Access, Vol 10, Pp 20259-20269 (2022)
Detecting the latest advanced persistent threats (APTs) using conventional information protection systems is a challenging task. Although various systems have been employed to detect such attacks, they are limited by their respective operating system
Externí odkaz:
https://doaj.org/article/d505c4b885c548eead81c18df134eeca
Autor:
Jum Mi Park, Na Yeon Shin
Publikováno v:
The Korean Society for Multicultural Health. 13:75-83
Autor:
Na Yeon Shin, Yujeong Shin, Gayeon Kang, Suhyun Kim, Soomin Park, Eunji Park, Dabin Lee, Eunbyeol Lim, Heewon Jang
Publikováno v:
The Korean Society for Multicultural Health. 13:129-137
Publikováno v:
The Korean Society for Multicultural Health. 13:55-63
Publikováno v:
Artificial Intelligence for the Earth Systems. 1
Many deep learning technologies have been applied to the Earth sciences. Nonetheless, the difficulty in interpreting deep learning results still prevents their applications to studies on climate dynamics. Here, we applied a convolutional neural netwo
Many deep learning technologies have been applied to the Earth sciences, including weather forecast, climate prediction, parameterization, resolution improvements, etc. Nonetheless, the difficulty in interpreting deep learning results still prevents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fc4ce47000b24e9c30cf5cda0dcbdd0
https://doi.org/10.5194/egusphere-egu22-10888
https://doi.org/10.5194/egusphere-egu22-10888
Publikováno v:
Journal of Climate. 34:1291-1303
Recently, El Niño diversity has been paid much attention because of its different global impacts. However, most studies have focused on a single warm peak in sea surface temperature anomalies (SSTAs), either in the central Pacific or the eastern Pac