Reconstruction of the North Atlantic Oscillation variability and its response to anthropogenic forcing using data-driven stochastic models based on artificial neural networks
Published in: | 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics |
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2021
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Online Access: | http://dx.doi.org/10.1117/12.2601900 |
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crspieintl:10.1117/12.2601900 2024-09-30T14:39:11+00:00 Reconstruction of the North Atlantic Oscillation variability and its response to anthropogenic forcing using data-driven stochastic models based on artificial neural networks Seleznev, Aleksei Gavrilov, Andrey Mukhin, Dmitry Feigin, Alexander Romanovskii, Oleg A. Matvienko, Gennadii G. 2021 http://dx.doi.org/10.1117/12.2601900 unknown SPIE 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics page 56 proceedings-article 2021 crspieintl https://doi.org/10.1117/12.2601900 2024-09-09T06:02:40Z Conference Object North Atlantic North Atlantic oscillation SPIE Publications 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 56 |
institution |
Open Polar |
collection |
SPIE Publications |
op_collection_id |
crspieintl |
language |
unknown |
author2 |
Romanovskii, Oleg A. Matvienko, Gennadii G. |
format |
Conference Object |
author |
Seleznev, Aleksei Gavrilov, Andrey Mukhin, Dmitry Feigin, Alexander |
spellingShingle |
Seleznev, Aleksei Gavrilov, Andrey Mukhin, Dmitry Feigin, Alexander Reconstruction of the North Atlantic Oscillation variability and its response to anthropogenic forcing using data-driven stochastic models based on artificial neural networks |
author_facet |
Seleznev, Aleksei Gavrilov, Andrey Mukhin, Dmitry Feigin, Alexander |
author_sort |
Seleznev, Aleksei |
title |
Reconstruction of the North Atlantic Oscillation variability and its response to anthropogenic forcing using data-driven stochastic models based on artificial neural networks |
title_short |
Reconstruction of the North Atlantic Oscillation variability and its response to anthropogenic forcing using data-driven stochastic models based on artificial neural networks |
title_full |
Reconstruction of the North Atlantic Oscillation variability and its response to anthropogenic forcing using data-driven stochastic models based on artificial neural networks |
title_fullStr |
Reconstruction of the North Atlantic Oscillation variability and its response to anthropogenic forcing using data-driven stochastic models based on artificial neural networks |
title_full_unstemmed |
Reconstruction of the North Atlantic Oscillation variability and its response to anthropogenic forcing using data-driven stochastic models based on artificial neural networks |
title_sort |
reconstruction of the north atlantic oscillation variability and its response to anthropogenic forcing using data-driven stochastic models based on artificial neural networks |
publisher |
SPIE |
publishDate |
2021 |
url |
http://dx.doi.org/10.1117/12.2601900 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics page 56 |
op_doi |
https://doi.org/10.1117/12.2601900 |
container_title |
27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics |
container_start_page |
56 |
_version_ |
1811641704552333312 |