U.S. Department of EnergyOffice of Scientific and Technical Information
High Resolution Ocean Surface Wave Hindcast (US Wave) Data
Abstract
The development of this dataset was funded by the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, Water Power Technologies Office to improve our understanding of the U.S. wave energy resource and to provide critical information for wave energy project development and wave energy converter design. This high resolution publicly available long-term wave hindcast dataset will - when complete - cover the entire U.S. Exclusive Economic Zone (EEZ). Available data includes the Hawaiian Islands, West and Atlantic Coasts, with future additions including the Alaskan coasts, Gulf of Mexico and the Freely associated States. The data can be used to investigate the historical record of wave statistics at any U.S. site. As such, the dataset could also be of value to any entity with marine operations inside the U.S. EEZ. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.
- Authors:
- Publication Date:
- Other Number(s):
- 326
- DOE Contract Number:
- FY20 AOP 2.1.5.401
- Research Org.:
- Marine and Hydrokinetic Data Repository (MHKDR); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office (EE-4WP)
- Collaborations:
- National Renewable Energy Laboratory
- Subject:
- 16 Tidal and Wave Power
- Keywords:
- MHK; Marine; Hydrokinetic; Wave Energy; power; energy; wave; resource; geospatial data; Hindcast; model; PACWave; U.S. EEZ; EEZ; Exclusive Economic Zone; characterization; blue economy; Powering the Blue Economy; HDF5; offshore; WIND; aquaculture; environment; surface wave; ocean; WEC; high resolution
- Geolocation:
- 75.0714,-32.034725|13.518,-32.034725|13.518,174.695175|75.0714,174.695175|75.0714,-32.034725
- OSTI Identifier:
- 1647329
- DOI:
- https://doi.org/10.15473/1647329
- Project Location:
-
Citation Formats
Yang, Zhaoqing, Neary, Vince, and Kilcher, Levi. High Resolution Ocean Surface Wave Hindcast (US Wave) Data. United States: N. p., 2020.
Web. doi:10.15473/1647329.
Yang, Zhaoqing, Neary, Vince, & Kilcher, Levi. High Resolution Ocean Surface Wave Hindcast (US Wave) Data. United States. doi:https://doi.org/10.15473/1647329
Yang, Zhaoqing, Neary, Vince, and Kilcher, Levi. 2020.
"High Resolution Ocean Surface Wave Hindcast (US Wave) Data". United States. doi:https://doi.org/10.15473/1647329. https://www.osti.gov/servlets/purl/1647329. Pub date:Wed Jul 01 00:00:00 EDT 2020
@article{osti_1647329,
title = {High Resolution Ocean Surface Wave Hindcast (US Wave) Data},
author = {Yang, Zhaoqing and Neary, Vince and Kilcher, Levi},
abstractNote = {The development of this dataset was funded by the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, Water Power Technologies Office to improve our understanding of the U.S. wave energy resource and to provide critical information for wave energy project development and wave energy converter design. This high resolution publicly available long-term wave hindcast dataset will - when complete - cover the entire U.S. Exclusive Economic Zone (EEZ). Available data includes the Hawaiian Islands, West and Atlantic Coasts, with future additions including the Alaskan coasts, Gulf of Mexico and the Freely associated States. The data can be used to investigate the historical record of wave statistics at any U.S. site. As such, the dataset could also be of value to any entity with marine operations inside the U.S. EEZ. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.},
doi = {10.15473/1647329},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 01 00:00:00 EDT 2020},
month = {Wed Jul 01 00:00:00 EDT 2020}
}