Python package for icequakes inversions

This package was used to process seismic data recorded on sea ice in Svalbard (Norway), in March 2019. The inversion determines the position of the icequake source and sea ice thickness. More details in: Moreau et al,Analysis of microseismicity in sea ice with deep learning and Bayesian inference: a...

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Main Author: Moreau Ludovic
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.7755633
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record_format openpolar
spelling ftzenodo:oai:zenodo.org:7755633 2024-09-15T18:34:07+00:00 Python package for icequakes inversions Moreau Ludovic 2023-03-21 https://doi.org/10.5281/zenodo.7755633 unknown Zenodo https://doi.org/10.5281/zenodo.7755632 https://doi.org/10.5281/zenodo.7755633 oai:zenodo.org:7755633 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode icequake inversion sea ice info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.775563310.5281/zenodo.7755632 2024-07-26T20:57:46Z This package was used to process seismic data recorded on sea ice in Svalbard (Norway), in March 2019. The inversion determines the position of the icequake source and sea ice thickness. More details in: Moreau et al,Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring, The Cryosphere (2023):https://doi.org/10.5194/tc-2022-212 Other/Unknown Material Sea ice Svalbard Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic icequake inversion
sea ice
spellingShingle icequake inversion
sea ice
Moreau Ludovic
Python package for icequakes inversions
topic_facet icequake inversion
sea ice
description This package was used to process seismic data recorded on sea ice in Svalbard (Norway), in March 2019. The inversion determines the position of the icequake source and sea ice thickness. More details in: Moreau et al,Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring, The Cryosphere (2023):https://doi.org/10.5194/tc-2022-212
format Other/Unknown Material
author Moreau Ludovic
author_facet Moreau Ludovic
author_sort Moreau Ludovic
title Python package for icequakes inversions
title_short Python package for icequakes inversions
title_full Python package for icequakes inversions
title_fullStr Python package for icequakes inversions
title_full_unstemmed Python package for icequakes inversions
title_sort python package for icequakes inversions
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.7755633
genre Sea ice
Svalbard
genre_facet Sea ice
Svalbard
op_relation https://doi.org/10.5281/zenodo.7755632
https://doi.org/10.5281/zenodo.7755633
oai:zenodo.org:7755633
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.775563310.5281/zenodo.7755632
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