Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model

Bibliographic Details
Published in:IEEE Transactions on Geoscience and Remote Sensing
Main Authors: Ren, Yibin, Li, Xiaofeng
Other Authors: National Natural Science Foundation for Young Scientists of China, National Natural Science Foundation of China, Chinese Academy of Sciences (CAS) through the Strategic Priority Research Program, Key Project of Centre for Ocean Mega-Science, CAS Program
Format: Article in Journal/Newspaper
Language:unknown
Published: Institute of Electrical and Electronics Engineers (IEEE) 2023
Subjects:
Arctic
Sea ice
Online Access:http://dx.doi.org/10.1109/tgrs.2023.3279089
http://xplorestaging.ieee.org/ielx7/36/10006360/10131954.pdf?arnumber=10131954
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spelling crieeecr:10.1109/tgrs.2023.3279089 2024-06-23T07:49:31+00:00 Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model Ren, Yibin Li, Xiaofeng National Natural Science Foundation for Young Scientists of China National Natural Science Foundation of China Chinese Academy of Sciences (CAS) through the Strategic Priority Research Program Key Project of Centre for Ocean Mega-Science CAS Program 2023 http://dx.doi.org/10.1109/tgrs.2023.3279089 http://xplorestaging.ieee.org/ielx7/36/10006360/10131954.pdf?arnumber=10131954 unknown Institute of Electrical and Electronics Engineers (IEEE) https://creativecommons.org/licenses/by/4.0/legalcode IEEE Transactions on Geoscience and Remote Sensing volume 61, page 1-15 ISSN 0196-2892 1558-0644 journal-article 2023 crieeecr https://doi.org/10.1109/tgrs.2023.3279089 2024-05-30T08:15:53Z Article in Journal/Newspaper Arctic Sea ice IEEE Publications Arctic IEEE Transactions on Geoscience and Remote Sensing 61 1 15
institution Open Polar
collection IEEE Publications
op_collection_id crieeecr
language unknown
author2 National Natural Science Foundation for Young Scientists of China
National Natural Science Foundation of China
Chinese Academy of Sciences (CAS) through the Strategic Priority Research Program
Key Project of Centre for Ocean Mega-Science
CAS Program
format Article in Journal/Newspaper
author Ren, Yibin
Li, Xiaofeng
spellingShingle Ren, Yibin
Li, Xiaofeng
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
author_facet Ren, Yibin
Li, Xiaofeng
author_sort Ren, Yibin
title Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
title_short Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
title_full Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
title_fullStr Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
title_full_unstemmed Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
title_sort predicting the daily sea ice concentration on a subseasonal scale of the pan-arctic during the melting season by a deep learning model
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2023
url http://dx.doi.org/10.1109/tgrs.2023.3279089
http://xplorestaging.ieee.org/ielx7/36/10006360/10131954.pdf?arnumber=10131954
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source IEEE Transactions on Geoscience and Remote Sensing
volume 61, page 1-15
ISSN 0196-2892 1558-0644
op_rights https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.1109/tgrs.2023.3279089
container_title IEEE Transactions on Geoscience and Remote Sensing
container_volume 61
container_start_page 1
op_container_end_page 15
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