| Title: |
Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications |
| Authors: |
Eayrs, Clare; Lee, Won Sang; Jin, Emilia; Lemieux, Jean-François; Massonnet, François; Vancoppenolle, Martin; 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 |
| Contributors: |
Korea Polar Research Institute (KOPRI); Recherche en Prevision Numerique (RPN); Centre Georges Lemaître for Earth and Climate Research Louvain (TECLIM); Earth and Life Institute Louvain-La-Neuve (ELI); Université Catholique de Louvain = Catholic University of Louvain (UCL)-Université Catholique de Louvain = Catholic University of Louvain (UCL); Nucleus for European Modeling of the Ocean (LOCEAN-NEMO R&D); Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN); Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)); École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité); Centro Euro-Mediterraneo per i Cambiamenti Climatici Bologna (CMCC); University of Adelaide; Met Office Hadley Centre (MOHC); United Kingdom Met Office Exeter; Institute for Marine and Antarctic Studies Hobart (IMAS); University of Tasmania Hobart (UTAS); Chonnam National University Gwangju; Ulsan National Institute of Science and Technology (UNIST); Pukyong National University; Nansen Environmental and Remote Sensing Center Bergen (NERSC); Seoul National University Seoul (SNU); Shanghai Jiao Tong University Shanghai |
| Source: |
ISSN: 0003-0007. |
| Publisher Information: |
CCSD; American Meteorological Society |
| Publication Year: |
2024 |
| Collection: |
Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
| Subject Terms: |
Forecasting; Artificial intelligence; Machine learning; Sea ice; Arctic; Antarctica; [SDU]Sciences of the Universe [physics] |
| Description: |
International audience |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
WOS: 001185919200002 |
| DOI: |
10.1175/bams-d-23-0332.1 |
| Availability: |
https://hal.science/hal-04588974; https://hal.science/hal-04588974v1/document; https://hal.science/hal-04588974v1/file/bams-BAMS-D-23-0332.1-3.pdf; https://doi.org/10.1175/bams-d-23-0332.1 |
| Rights: |
https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.334A50D2 |
| Database: |
BASE |