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Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications

by Eayrs, Clare, Lee, Won Sang, Jin, Emilia, Lemieux, Jean-François, Massonnet, François, Vancoppenolle, M., Zampieri, Lorenzo, Bennetts, Luke, Blockley, Ed, Chung, Eui-Seok, Fraser, Alexander, 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, Hyun-Ju, Lee, Jeong-Gil, Lee, Jiyeon, Na, Jisung, Park, In-Woo, Park, Jikang, Wang, Xianwei, Xu, Shiming, Yun, Sukyoung
Published in Bulletin of the American Meteorological Society (2024)

Improvement of Soil Moisture Active Passive (SMAP) Sea Surface Salinity

by Jang, Eunna
Published 2021

Monitoring and Characterization of Arctic Sea Ice using Radar Altimetry

by Lee, Sanggyun
Published 2018

Characterizations of the Antarctic Sea Ice Using Multiple Satellite Remote Sensing Data

by Kim, Miae
Published 2018