Hydrodynamic Metrics for Tidal Energy Resource and Load Characterization in Cook Inlet, Alaska

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This submission provides hydrodynamic metrics for Cook Inlet, Alaska, derived from a validated FVCOM hindcast using a vertically resolved, multi-metric framework for tidal energy resource and load characterization. The netCDF4 dataset includes metrics describing flow directionality, velocity, persistence, power density, load density, vertical shear, and veer across near-surface, intermediate, near-bed, and full-depth zones. Supporting documentation includes a README file and the associated manuscript describing the methodology, validation, and applications of the dataset.

Citation Formats

TY - DATA AB - This submission provides hydrodynamic metrics for Cook Inlet, Alaska, derived from a validated FVCOM hindcast using a vertically resolved, multi-metric framework for tidal energy resource and load characterization. The netCDF4 dataset includes metrics describing flow directionality, velocity, persistence, power density, load density, vertical shear, and veer across near-surface, intermediate, near-bed, and full-depth zones. Supporting documentation includes a README file and the associated manuscript describing the methodology, validation, and applications of the dataset. AU - Jang, Martin A2 - Neary, Vincent DB - Marine and Hydrokinetic Data Repository DP - Open EI | National Laboratory of the Rockies DO - KW - MHK KW - Marine KW - Hydrokinetic KW - energy KW - Tidal energy KW - Tidal stream energy KW - Resource assessment KW - Load characterization KW - Hydrodynamic metrics KW - Cook Inlet KW - Alaska KW - FVCOM KW - Power density KW - Flow directionality KW - Persistence index KW - Flow alignment KW - Vertical shear KW - Veer LA - English DA - 2026/06/24 PY - 2026 PB - Sandia National Laboratories T1 - Hydrodynamic Metrics for Tidal Energy Resource and Load Characterization in Cook Inlet, Alaska UR - https://mhkdr.openei.org/submissions/713 ER -
Export Citation to RIS
Jang, Martin, and Vincent Neary. Hydrodynamic Metrics for Tidal Energy Resource and Load Characterization in Cook Inlet, Alaska. Sandia National Laboratories, 24 June, 2026, Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/713.
Jang, M., & Neary, V. (2026). Hydrodynamic Metrics for Tidal Energy Resource and Load Characterization in Cook Inlet, Alaska. [Data set]. Marine and Hydrokinetic Data Repository. Sandia National Laboratories. https://mhkdr.openei.org/submissions/713
Jang, Martin and Vincent Neary. Hydrodynamic Metrics for Tidal Energy Resource and Load Characterization in Cook Inlet, Alaska. Sandia National Laboratories, June, 24, 2026. Distributed by Marine and Hydrokinetic Data Repository. https://mhkdr.openei.org/submissions/713
@misc{MHKDR_Dataset_713, title = {Hydrodynamic Metrics for Tidal Energy Resource and Load Characterization in Cook Inlet, Alaska}, author = {Jang, Martin and Neary, Vincent}, abstractNote = {This submission provides hydrodynamic metrics for Cook Inlet, Alaska, derived from a validated FVCOM hindcast using a vertically resolved, multi-metric framework for tidal energy resource and load characterization. The netCDF4 dataset includes metrics describing flow directionality, velocity, persistence, power density, load density, vertical shear, and veer across near-surface, intermediate, near-bed, and full-depth zones. Supporting documentation includes a README file and the associated manuscript describing the methodology, validation, and applications of the dataset. }, url = {https://mhkdr.openei.org/submissions/713}, year = {2026}, howpublished = {Marine and Hydrokinetic Data Repository, Sandia National Laboratories, https://mhkdr.openei.org/submissions/713}, note = {Accessed: 2026-06-25} }

Details

Data from Jun 24, 2026

Last updated Jun 24, 2026

Submission in progress

Organization

Sandia National Laboratories

Contact

Martin Jang

Authors

Martin Jang

Sandia National Laboratories

Vincent Neary

Sandia National Laboratories

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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