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...
Main Author: | |
---|---|
Format: | Other/Unknown Material |
Language: | unknown |
Published: |
Zenodo
2023
|
Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.7755633 |
id |
ftzenodo:oai:zenodo.org:7755633 |
---|---|
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 |
_version_ |
1810475855291351040 |