Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (1998–2021)

Bibliographic Details
Published in:Science of The Total Environment
Main Authors: Mansour, Karam, Decesari, Stefano, Ceburnis, Darius, Ovadnevaite, Jurgita, Rinaldi, Matteo
Other Authors: European Commission, H2020 Research Infrastructures
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2023
Subjects:
Pollution
Waste Management and Disposal
Environmental Chemistry
Environmental Engineering
North Atlantic
Online Access:http://dx.doi.org/10.1016/j.scitotenv.2023.162123
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spelling crelsevierbv:10.1016/j.scitotenv.2023.162123 2023-09-05T13:21:20+02:00 Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (1998–2021) Mansour, Karam Decesari, Stefano Ceburnis, Darius Ovadnevaite, Jurgita Rinaldi, Matteo European Commission H2020 Research Infrastructures 2023 http://dx.doi.org/10.1016/j.scitotenv.2023.162123 https://api.elsevier.com/content/article/PII:S0048969723007398?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0048969723007398?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ http://creativecommons.org/licenses/by/4.0/ Science of The Total Environment volume 871, page 162123 ISSN 0048-9697 Pollution Waste Management and Disposal Environmental Chemistry Environmental Engineering journal-article 2023 crelsevierbv https://doi.org/10.1016/j.scitotenv.2023.162123 2023-08-23T18:01:39Z Article in Journal/Newspaper North Atlantic ScienceDirect (Elsevier - via Crossref) Science of The Total Environment 871 162123
institution Open Polar
collection ScienceDirect (Elsevier - via Crossref)
op_collection_id crelsevierbv
language English
topic Pollution
Waste Management and Disposal
Environmental Chemistry
Environmental Engineering
spellingShingle Pollution
Waste Management and Disposal
Environmental Chemistry
Environmental Engineering
Mansour, Karam
Decesari, Stefano
Ceburnis, Darius
Ovadnevaite, Jurgita
Rinaldi, Matteo
Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (1998–2021)
topic_facet Pollution
Waste Management and Disposal
Environmental Chemistry
Environmental Engineering
author2 European Commission
H2020 Research Infrastructures
format Article in Journal/Newspaper
author Mansour, Karam
Decesari, Stefano
Ceburnis, Darius
Ovadnevaite, Jurgita
Rinaldi, Matteo
author_facet Mansour, Karam
Decesari, Stefano
Ceburnis, Darius
Ovadnevaite, Jurgita
Rinaldi, Matteo
author_sort Mansour, Karam
title Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (1998–2021)
title_short Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (1998–2021)
title_full Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (1998–2021)
title_fullStr Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (1998–2021)
title_full_unstemmed Machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the North Atlantic Ocean (1998–2021)
title_sort machine learning for prediction of daily sea surface dimethylsulfide concentration and emission flux over the north atlantic ocean (1998–2021)
publisher Elsevier BV
publishDate 2023
url http://dx.doi.org/10.1016/j.scitotenv.2023.162123
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genre North Atlantic
genre_facet North Atlantic
op_source Science of The Total Environment
volume 871, page 162123
ISSN 0048-9697
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1016/j.scitotenv.2023.162123
container_title Science of The Total Environment
container_volume 871
container_start_page 162123
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