Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications
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Title
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Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications
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Other Titles
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해빙 응용 분야의 다양한 단계에 도움이 될 수 있는 기계 학습 기술의 발전
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Authors
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Clare Eayrs
Lee, Won Sang
Jin, Emilia Kyung
Lemieux Jean-Francois
Massonnet Francois
Vancoppenolle Martin
Zampieri Lorenzo
Bennetts Luke G.
Blockley Ed
Chung, Eui-Seok
Fraser Alexander D.
Ham Yoo-geun
Im Jungho
Kim Baek-min
Kim, Beong-Hoon
Kim Jinsuk
Kim, Joo-Hong
Kim, Seong-Joong
Kim, Seung Hee
Korosov Anton
Lee, Choon-Ki
Lee Donghyuck
Lee, yun-Ju
Lee Jeong-Gil
Lee, Jiyeon
Na Jisung
Park, In-Woo
Park Jikang
Wang Xianwei
Xu Shiming
Yun, Sukyoung
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Keywords
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machine learning techniques; sea ice applications
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Issue Date
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2024-10
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Citation
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Clare Eayrs, et al. 2024. "Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications". BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 105(3): E527-E531.
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URI
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https://repository.kopri.re.kr/handle/201206/16282
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DOI
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http://dx.doi.org/10.1175/BAMS-D-23-0332.1
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Type
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Article
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Station
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Araon
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Indexed
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SCIE
- Appears in Collections
- 2024-2024, 급격한 남극 빙상 용융에 따른 근미래 전지구 해수면 상승 예측기술 개발 (24-24) / 이원상 (PM24020)
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