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:...
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| Format: | Software |
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Zenodo
2023
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| Online Access: | https://dx.doi.org/10.5281/zenodo.7755633 https://zenodo.org/record/7755633 |
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ftdatacite:10.5281/zenodo.7755633 |
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openpolar |
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ftdatacite:10.5281/zenodo.7755633 2023-05-15T18:16:08+02:00 Python package for icequakes inversions ... Ludovic, Moreau 2023 https://dx.doi.org/10.5281/zenodo.7755633 https://zenodo.org/record/7755633 unknown Zenodo https://dx.doi.org/10.5281/zenodo.7755632 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess icequake inversion, sea ice article Software SoftwareSourceCode 2023 ftdatacite https://doi.org/10.5281/zenodo.775563310.5281/zenodo.7755632 2023-04-03T15:52:50Z 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 ... Software Sea ice Svalbard DataCite Metadata Store (German National Library of Science and Technology) Norway Svalbard |
| institution |
Open Polar |
| collection |
DataCite Metadata Store (German National Library of Science and Technology) |
| op_collection_id |
ftdatacite |
| language |
unknown |
| topic |
icequake inversion, sea ice |
| spellingShingle |
icequake inversion, sea ice Ludovic, Moreau 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 |
Software |
| author |
Ludovic, Moreau |
| author_facet |
Ludovic, Moreau |
| author_sort |
Ludovic, Moreau |
| 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://dx.doi.org/10.5281/zenodo.7755633 https://zenodo.org/record/7755633 |
| geographic |
Norway Svalbard |
| geographic_facet |
Norway Svalbard |
| genre |
Sea ice Svalbard |
| genre_facet |
Sea ice Svalbard |
| op_relation |
https://dx.doi.org/10.5281/zenodo.7755632 |
| op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
| op_doi |
https://doi.org/10.5281/zenodo.775563310.5281/zenodo.7755632 |
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1766189580127567872 |