Surface and sub-surface flow estimation at high temporal resolution using deep neural networks
Ather AbbasSchool of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of KoreaSang‐Soo BaekSchool of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of KoreaMinjeong KimDivision of Radioactive Waste Disposal Research, Korea Atomic Energy Research Institute (KAERI), 989-111, Daedeok-daero, Yuseong-gu, Daejeon 34057, Republic of KoreaMayzonee LigarayInstitute of Environmental Science and Meteorology, College of Science, University of the Philippines Diliman, Quezon City 1101, PhilippinesOlivier RibolziGeosciences Environnement Toulouse, Université de Toulouse, CNRS, IRD, UPS, 31400 Toulouse, FranceNorbert SilveraiEES-Paris, UMR 7618 (IRD, CNRS, UPMC), Centre IRD d’Ile de France – 32, avenue Henri Varagnat, 93143 Bondy cedex, FranceJoong-Hyuk MinWater Quality Assessment Research Division, National Institute of Environmental Research, Environmental Research Complex, Hwangyeong-ro 42, Seo-gu, Incheon 22689, Republic of KoreaLaurie BoithiasGeosciences Environnement Toulouse, Université de Toulouse, CNRS, IRD, UPS, 31400 Toulouse, FranceKyung Hwa ChoSchool of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 689-798, Republic of Korea
2020en
ABI
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