Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand

In this study, the authors investigate the predictability of sudden eruptions, motivated by the 2019 eruption at Whakaari (White Island), New Zealand. The paper proposes a machine learning approach that is able to identify eruption precursors in data streaming from a single seismic station at Whakaa...

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Bibliographic Details
Published in:Nature Communications
Main Authors: D. E. Dempsey, S. J. Cronin, S. Mei, A. W. Kempa-Liehr
Format: Article in Journal/Newspaper
Language:English
Published: Nature Portfolio 2020
Subjects:
Science
Q
New Zealand
White Island
Online Access:https://doi.org/10.1038/s41467-020-17375-2
https://doaj.org/article/9a10873129be47a1b81e8531c5177be5
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spelling ftdoajarticles:oai:doaj.org/article:9a10873129be47a1b81e8531c5177be5 2023-05-15T18:43:34+02:00 Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand D. E. Dempsey S. J. Cronin S. Mei A. W. Kempa-Liehr 2020-07-01T00:00:00Z https://doi.org/10.1038/s41467-020-17375-2 https://doaj.org/article/9a10873129be47a1b81e8531c5177be5 EN eng Nature Portfolio https://doi.org/10.1038/s41467-020-17375-2 https://doaj.org/toc/2041-1723 doi:10.1038/s41467-020-17375-2 2041-1723 https://doaj.org/article/9a10873129be47a1b81e8531c5177be5 Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020) Science Q article 2020 ftdoajarticles https://doi.org/10.1038/s41467-020-17375-2 2022-12-31T07:18:14Z In this study, the authors investigate the predictability of sudden eruptions, motivated by the 2019 eruption at Whakaari (White Island), New Zealand. The paper proposes a machine learning approach that is able to identify eruption precursors in data streaming from a single seismic station at Whakaari. Article in Journal/Newspaper White Island Directory of Open Access Journals: DOAJ Articles New Zealand White Island ENVELOPE(48.583,48.583,-66.733,-66.733) Nature Communications 11 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Science
Q
spellingShingle Science
Q
D. E. Dempsey
S. J. Cronin
S. Mei
A. W. Kempa-Liehr
Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand
topic_facet Science
Q
description In this study, the authors investigate the predictability of sudden eruptions, motivated by the 2019 eruption at Whakaari (White Island), New Zealand. The paper proposes a machine learning approach that is able to identify eruption precursors in data streaming from a single seismic station at Whakaari.
format Article in Journal/Newspaper
author D. E. Dempsey
S. J. Cronin
S. Mei
A. W. Kempa-Liehr
author_facet D. E. Dempsey
S. J. Cronin
S. Mei
A. W. Kempa-Liehr
author_sort D. E. Dempsey
title Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand
title_short Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand
title_full Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand
title_fullStr Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand
title_full_unstemmed Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand
title_sort automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at whakaari, new zealand
publisher Nature Portfolio
publishDate 2020
url https://doi.org/10.1038/s41467-020-17375-2
https://doaj.org/article/9a10873129be47a1b81e8531c5177be5
long_lat ENVELOPE(48.583,48.583,-66.733,-66.733)
geographic New Zealand
White Island
geographic_facet New Zealand
White Island
genre White Island
genre_facet White Island
op_source Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
op_relation https://doi.org/10.1038/s41467-020-17375-2
https://doaj.org/toc/2041-1723
doi:10.1038/s41467-020-17375-2
2041-1723
https://doaj.org/article/9a10873129be47a1b81e8531c5177be5
op_doi https://doi.org/10.1038/s41467-020-17375-2
container_title Nature Communications
container_volume 11
container_issue 1
_version_ 1766233992885960704

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