Argo BathYmetry SenSing (ABYSS)
About this collection
- Extent
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1 digital object.
- Cite This Work
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Zilberman, Nathalie V.; Scanderbeg, Megan C.; Balem, Kevin (2025). Argo BathYmetry SenSing (ABYSS). UC San Diego Library Digital Collections. https://doi.org/10.6075/J0JH3MDJ
- Description
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This archive contains Deep Argo ocean bathymetry detection based on information in Argo trajectory, metadata, and technical files.
The product includes locations, depths, and times of ocean bathymetry detection using Deep Argo floats, along with an estimated horizontal position displacement. Metadata will be included to identify the Argo float model, WMO number and cycle during which the ocean detection grounding occurred. Multiple Deep Argo float models contribute to this product and some profile to deepest depth upon descent while others profile upon ascent. Bathymetry detections are associated only with profiles made during the deepest descent. Therefore, for some floats, the bathymetry detection occurs right after descent and for other floats, it occurs right before ascent. Refer to Zilberman et al (2025) paper for further details. - Date Collected
- 2014 to present
- Date Issued
- 2025
- Creator
- Principal Investigator
- Contributor
- Funding
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NZ and MS acknowledge support from the NOAA Global Ocean Monitoring and Observing Program through Award NA20OAR4320278 and Seabed2030 (UNH2042102). NZ is also supported by NSF (OCE-729 2242742). KB acknowledges financial support by the following projects and grants: the Equipex+ Argo-2030 project that received support from the French government within the framework of the “Investissements d’avenir” program integrated in France 2030 and managed by the Agence Nationale de la Recherche (ANR) under grant agreement no ANR-21-ESRE-0019; the CPER Obsocean co-funded by the European Union, Région Bretagne, Département du Finistère, Brest Metropole and Ifremer.
- Topics
Formats
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- Language
- English
- Identifier
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Identifier: Kevin Balem: https://orcid.org/0000-0002-4956-8698
Identifier: Megan C. Scanderbeg: https://orcid.org/0000-0002-0398-7272
Identifier: Nathalie V. Zilberman: https://orcid.org/0000-0002-5855-1994
- Related Resources
- Argo Data Management (argodatamgt.org)
- Deep Argo Mission: https://argo.ucsd.edu/expansion/deep-argo-mission/
- Latest release of ABYSS product: https://doi.org/10.6075/J07081TT
- NERC Vocabulary Server (NVS): https://vocab.nerc.ac.uk/search_nvs/R08/
- Image credit: Unknown. "Argo logo."
Other resource
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