A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence

Bibliographic Details
Published in:Atmosphere-Ocean
Main Authors: Mariani, Zen, Burrows, William R., Gascon, Gabrielle, Crawford, Robert
Format: Article in Journal/Newspaper
Language:English
Published: Informa UK Limited 2023
Subjects:
Atmospheric Science
Oceanography
Arctic
Online Access:http://dx.doi.org/10.1080/07055900.2023.2257651
https://www.tandfonline.com/doi/pdf/10.1080/07055900.2023.2257651
id crinformauk:10.1080/07055900.2023.2257651
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spelling crinformauk:10.1080/07055900.2023.2257651 2024-05-12T07:58:30+00:00 A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence Mariani, Zen Burrows, William R. Gascon, Gabrielle Crawford, Robert 2023 http://dx.doi.org/10.1080/07055900.2023.2257651 https://www.tandfonline.com/doi/pdf/10.1080/07055900.2023.2257651 en eng Informa UK Limited http://creativecommons.org/licenses/by-nc-nd/4.0/ Atmosphere-Ocean volume 62, issue 2, page 119-134 ISSN 0705-5900 1480-9214 Atmospheric Science Oceanography journal-article 2023 crinformauk https://doi.org/10.1080/07055900.2023.2257651 2024-04-18T08:06:22Z Article in Journal/Newspaper Arctic Informa Arctic Atmosphere-Ocean 62 2 119 134
institution Open Polar
collection Informa
op_collection_id crinformauk
language English
topic Atmospheric Science
Oceanography
spellingShingle Atmospheric Science
Oceanography
Mariani, Zen
Burrows, William R.
Gascon, Gabrielle
Crawford, Robert
A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence
topic_facet Atmospheric Science
Oceanography
format Article in Journal/Newspaper
author Mariani, Zen
Burrows, William R.
Gascon, Gabrielle
Crawford, Robert
author_facet Mariani, Zen
Burrows, William R.
Gascon, Gabrielle
Crawford, Robert
author_sort Mariani, Zen
title A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence
title_short A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence
title_full A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence
title_fullStr A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence
title_full_unstemmed A Machine-Learning Method to Integrate Arctic Supersite Observations and Diagnose Weather Element Occurrence
title_sort machine-learning method to integrate arctic supersite observations and diagnose weather element occurrence
publisher Informa UK Limited
publishDate 2023
url http://dx.doi.org/10.1080/07055900.2023.2257651
https://www.tandfonline.com/doi/pdf/10.1080/07055900.2023.2257651
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Atmosphere-Ocean
volume 62, issue 2, page 119-134
ISSN 0705-5900 1480-9214
op_rights http://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.1080/07055900.2023.2257651
container_title Atmosphere-Ocean
container_volume 62
container_issue 2
container_start_page 119
op_container_end_page 134
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