Processed ADCP Current Depth Profiles, Flow Classification, and Power Law Parameters at Tidal Energy Sites

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This dataset contains processed acoustic Doppler current profiler (ADCP) measurements from twenty energetic tidal energy sites in the United States, Scotland, and New Zealand, compiled for the 2025 publication Current Depth Profile Characterization for Tidal Energy Development (linked below). Measurements were sourced from peer-reviewed literature, the Marine and Hydrokinetic Data Repository, EMEC, and NOAA's C-MIST database, and were selected for sites with depth-averaged current speeds exceeding 1m/s. Data span a range of tidal cycles, depths (5-70m), and flow regimes, and have been quality-controlled, filtered, and transformed into principal flood and ebb flow directions. Each netCDF file corresponds to a single site, with file names based on the site codes defined in the publication.

The dataset classifies current depth profiles by shape, reports their prevalence by flow regime, and provides fitted power law parameters for monotonic profiles, along with metrics for non-monotonic profiles. Detailed descriptions of variables, units, and file naming conventions are provided in the dataset README. The submission complies with FAIR data principles: it is findable through the open-access PRIMRE Marine and Hydrokinetic Data Repository with a DOI; accessible via self-describing netCDF files readable in open-source tools such as Python and R; interoperable for integration with other applications and databases; and reusable through comprehensive documentation.

Citation Formats

TY - DATA AB - This dataset contains processed acoustic Doppler current profiler (ADCP) measurements from twenty energetic tidal energy sites in the United States, Scotland, and New Zealand, compiled for the 2025 publication Current Depth Profile Characterization for Tidal Energy Development (linked below). Measurements were sourced from peer-reviewed literature, the Marine and Hydrokinetic Data Repository, EMEC, and NOAA's C-MIST database, and were selected for sites with depth-averaged current speeds exceeding 1m/s. Data span a range of tidal cycles, depths (5-70m), and flow regimes, and have been quality-controlled, filtered, and transformed into principal flood and ebb flow directions. Each netCDF file corresponds to a single site, with file names based on the site codes defined in the publication. The dataset classifies current depth profiles by shape, reports their prevalence by flow regime, and provides fitted power law parameters for monotonic profiles, along with metrics for non-monotonic profiles. Detailed descriptions of variables, units, and file naming conventions are provided in the dataset README. The submission complies with FAIR data principles: it is findable through the open-access PRIMRE Marine and Hydrokinetic Data Repository with a DOI; accessible via self-describing netCDF files readable in open-source tools such as Python and R; interoperable for integration with other applications and databases; and reusable through comprehensive documentation. AU - Jang, Martin C. A2 - Neary, Vincent S. A3 - Haas, Kevin A. DB - Marine and Hydrokinetic Data Repository DP - Open EI | National Renewable Energy Laboratory DO - KW - MHK KW - Marine KW - Hydrokinetic KW - energy KW - power KW - tidal KW - current depth profile KW - ADCP KW - tidal energy KW - acoustic Doppler current profiler KW - power law parameters KW - bed roughness coefficient KW - velocity profile classification KW - monotonic profiles KW - non-monotonic profiles KW - Reynolds number KW - tidal straining KW - flood currents KW - ebb currents KW - netCDF KW - processed data LA - English DA - 2025/07/28 PY - 2025 PB - Sandia National Laboratories T1 - Processed ADCP Current Depth Profiles, Flow Classification, and Power Law Parameters at Tidal Energy Sites UR - https://mhkdr.openei.org/submissions/648 ER -
Export Citation to RIS
Jang, Martin C., et al. Processed ADCP Current Depth Profiles, Flow Classification, and Power Law Parameters at Tidal Energy Sites. Sandia National Laboratories, 28 July, 2025, Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/648.
Jang, M., Neary, V., & Haas, K. (2025). Processed ADCP Current Depth Profiles, Flow Classification, and Power Law Parameters at Tidal Energy Sites. [Data set]. Marine and Hydrokinetic Data Repository. Sandia National Laboratories. https://mhkdr.openei.org/submissions/648
Jang, Martin C., Vincent S. Neary, and Kevin A. Haas. Processed ADCP Current Depth Profiles, Flow Classification, and Power Law Parameters at Tidal Energy Sites. Sandia National Laboratories, July, 28, 2025. Distributed by Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/648
@misc{MHKDR_Dataset_648, title = {Processed ADCP Current Depth Profiles, Flow Classification, and Power Law Parameters at Tidal Energy Sites}, author = {Jang, Martin C. and Neary, Vincent S. and Haas, Kevin A.}, abstractNote = {This dataset contains processed acoustic Doppler current profiler (ADCP) measurements from twenty energetic tidal energy sites in the United States, Scotland, and New Zealand, compiled for the 2025 publication Current Depth Profile Characterization for Tidal Energy Development (linked below). Measurements were sourced from peer-reviewed literature, the Marine and Hydrokinetic Data Repository, EMEC, and NOAA's C-MIST database, and were selected for sites with depth-averaged current speeds exceeding 1m/s. Data span a range of tidal cycles, depths (5-70m), and flow regimes, and have been quality-controlled, filtered, and transformed into principal flood and ebb flow directions. Each netCDF file corresponds to a single site, with file names based on the site codes defined in the publication.

The dataset classifies current depth profiles by shape, reports their prevalence by flow regime, and provides fitted power law parameters for monotonic profiles, along with metrics for non-monotonic profiles. Detailed descriptions of variables, units, and file naming conventions are provided in the dataset README. The submission complies with FAIR data principles: it is findable through the open-access PRIMRE Marine and Hydrokinetic Data Repository with a DOI; accessible via self-describing netCDF files readable in open-source tools such as Python and R; interoperable for integration with other applications and databases; and reusable through comprehensive documentation.}, url = {https://mhkdr.openei.org/submissions/648}, year = {2025}, howpublished = {Marine and Hydrokinetic Data Repository, Sandia National Laboratories, https://mhkdr.openei.org/submissions/648}, note = {Accessed: 2025-08-24} }

Details

Data from Jul 28, 2025

Last updated Aug 6, 2025

Submitted Aug 1, 2025

Organization

Sandia National Laboratories

Contact

Martin Jang

Authors

Martin C. Jang

Sandia National Laboratories

Vincent S. Neary

Sandia National Laboratories

Kevin A. Haas

Georgia Institute of Technology

DOE Project Details

Project Name Model Validation and Site Characterization for Early Deployment MHK Sites and Establishment of Wave Classification Scheme

Project Lead Heather Spence

Project Number FY25 AOP 2.1.5.701

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