Deep learning for downward longwave radiative flux forecasts in the Arctic

Bibliographic Details
Published in:Expert Systems with Applications
Main Authors: Kim, Dae-Hui, Kim, Hyun Mee
Other Authors: Yonsei University, Ministry of Science, ICT and Future Planning, National Research Foundation of Korea
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2022
Subjects:
Artificial Intelligence
Computer Science Applications
General Engineering
Arctic
Online Access:http://dx.doi.org/10.1016/j.eswa.2022.118547
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spelling crelsevierbv:10.1016/j.eswa.2022.118547 2023-05-15T14:41:46+02:00 Deep learning for downward longwave radiative flux forecasts in the Arctic Kim, Dae-Hui Kim, Hyun Mee Yonsei University Ministry of Science, ICT and Future Planning National Research Foundation of Korea 2022 http://dx.doi.org/10.1016/j.eswa.2022.118547 https://api.elsevier.com/content/article/PII:S0957417422016189?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0957417422016189?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ http://creativecommons.org/licenses/by-nc-nd/4.0/ CC-BY-NC-ND Expert Systems with Applications volume 210, page 118547 ISSN 0957-4174 Artificial Intelligence Computer Science Applications General Engineering journal-article 2022 crelsevierbv https://doi.org/10.1016/j.eswa.2022.118547 2022-11-29T09:22:23Z Article in Journal/Newspaper Arctic ScienceDirect (Elsevier - via Crossref) Arctic Expert Systems with Applications 210 118547
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
topic Artificial Intelligence
Computer Science Applications
General Engineering
spellingShingle Artificial Intelligence
Computer Science Applications
General Engineering
Kim, Dae-Hui
Kim, Hyun Mee
Deep learning for downward longwave radiative flux forecasts in the Arctic
topic_facet Artificial Intelligence
Computer Science Applications
General Engineering
author2 Yonsei University
Ministry of Science, ICT and Future Planning
National Research Foundation of Korea
format Article in Journal/Newspaper
author Kim, Dae-Hui
Kim, Hyun Mee
author_facet Kim, Dae-Hui
Kim, Hyun Mee
author_sort Kim, Dae-Hui
title Deep learning for downward longwave radiative flux forecasts in the Arctic
title_short Deep learning for downward longwave radiative flux forecasts in the Arctic
title_full Deep learning for downward longwave radiative flux forecasts in the Arctic
title_fullStr Deep learning for downward longwave radiative flux forecasts in the Arctic
title_full_unstemmed Deep learning for downward longwave radiative flux forecasts in the Arctic
title_sort deep learning for downward longwave radiative flux forecasts in the arctic
publisher Elsevier BV
publishDate 2022
url http://dx.doi.org/10.1016/j.eswa.2022.118547
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geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Expert Systems with Applications
volume 210, page 118547
ISSN 0957-4174
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op_doi https://doi.org/10.1016/j.eswa.2022.118547
container_title Expert Systems with Applications
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