FAIR ADCP data with OSADCP: a workflow to process ocean current data from vessel-mounted ADCPs

This paper presents the open-source Python software OSADCP developed for the processing of vessel-mounted Acoustic Doppler Current Profiler (VMADCP) data. At this stage, the toolbox is designed for processing VMADCP measurements from open-ocean applications of Teledyne RDI Ocean Surveyor ADCPs and the data acquisition software VMDAS . Based on the VMDAS ENX binary output format, the software contains implementations for cleaning and vector-averaging of single-ping velocity data, verification of the position data, and applying misalignment and amplitude corrections. The procedures of OSADCP are described in detail to encourage the scientific community to use it for their own purposes. The toolbox is an integral part of a workflow implemented on the German marine research vessels in the framework of the Underway Research Data project of the German Marine Research Alliance (DAM). It aims to ensure standardized data acquisition measures, reliable data transfer from the ADCP to shore both near-real-time and in delayed-mode, processing and quality control, and dissemination of the curated data product in the data repository PANGAEA . From PANGAEA , data sets are forwarded to the European marine data hubs Copernicus Marine Service and EMODnet . The workflow that forms the framework for OSADCP is described here as an example of scientific data management that follows the FAIR data guidelines.

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Publication Details

Journal
Frontiers in Marine Science
Published
2024-08-26
DOI
https://doi.org/10.3389/fmars.2024.1425086
Citations
4
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
4.20

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article

FAIR ADCP data with OSADCP: a workflow to process ocean current data from vessel-mounted ADCPs

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4 citations
Frontiers in Marine Science
Scientific Computing and Data Management
4.20
article

FAIR ADCP data with OSADCP: a workflow to process ocean current data from vessel-mounted ADCPs

Christian Winter, Marius Becker, Maximilian Betz, Gerd Krahmann, Johannes Karstensen, Gau­vain Wiemer, Peter Brandt, Claas Faber, Robert Kopte, Tim Fischer
article en
4 citations

Abstract

This paper presents the open-source Python software OSADCP developed for the processing of vessel-mounted Acoustic Doppler Current Profiler (VMADCP) data. At this stage, the toolbox is designed for processing VMADCP measurements from open-ocean applications of Teledyne RDI Ocean Surveyor ADCPs and the data acquisition software VMDAS . Based on the VMDAS ENX binary output format, the software contains implementations for cleaning and vector-averaging of single-ping velocity data, verification of the position data, and applying misalignment and amplitude corrections. The procedures of OSADCP are described in detail to encourage the scientific community to use it for their own purposes. The toolbox is an integral part of a workflow implemented on the German marine research vessels in the framework of the Underway Research Data project of the German Marine Research Alliance (DAM). It aims to ensure standardized data acquisition measures, reliable data transfer from the ADCP to shore both near-real-time and in delayed-mode, processing and quality control, and dissemination of the curated data product in the data repository PANGAEA . From PANGAEA , data sets are forwarded to the European marine data hubs Copernicus Marine Service and EMODnet . The workflow that forms the framework for OSADCP is described here as an example of scientific data management that follows the FAIR data guidelines.

Frontiers in Marine ScienceVol. 11
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), Christian-Albrechts-Universität zu Kiel (DE), GEOMAR Helmholtz Centre for Ocean Research Kiel (DE), Deutsche Allianz Meeresforschung
European Commission, Bundesanstalt für Wasserbau
Life below water
Openalex Percentile: Top 5%
Scientific Computing and Data Management
4.20
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