Tidal Resource Data from Sequim Bay Inlet, WA, August 2020
Abstract
Data from a Nortek Signature1000 deployed on a lander for 14 days in Aug 2020 in the entrance to Sequim Bay, WA. Raw data were processed using the DOLfYN python package and standardized using the ME Data Pipeline python package, tsdat version 0.2.12. Processed data were partitioned into 24 hour increments and saved in the NETCDF file format.
- Authors:
- Publication Date:
- Other Number(s):
- 395
- DOE Contract Number:
- 68502
- Research Org.:
- Marine and Hydrokinetic Data Repository (MHKDR); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office (EE-4WP)
- Collaborations:
- Pacific Northwest National Laboratory
- Subject:
- 16 Tidal and Wave Power
- Keywords:
- MHK; Marine; tsdat; dolfyn; ME data pipeline; current; tidal; resource; MCRL; Sequim Bay; raw data; data; sensor; Nortek Signature1000; water velocity
- Geolocation:
- 48.079739034626, -123.04367213235
- OSTI Identifier:
- 1862679
- DOI:
- https://doi.org/10.15473/1862679
- Project Location:
-
Citation Formats
McVey, James, and Cavagnaro, Rob. Tidal Resource Data from Sequim Bay Inlet, WA, August 2020. United States: N. p., 2020.
Web. doi:10.15473/1862679.
McVey, James, & Cavagnaro, Rob. Tidal Resource Data from Sequim Bay Inlet, WA, August 2020. United States. doi:https://doi.org/10.15473/1862679
McVey, James, and Cavagnaro, Rob. 2020.
"Tidal Resource Data from Sequim Bay Inlet, WA, August 2020". United States. doi:https://doi.org/10.15473/1862679. https://www.osti.gov/servlets/purl/1862679. Pub date:Thu Aug 13 00:00:00 EDT 2020
@article{osti_1862679,
title = {Tidal Resource Data from Sequim Bay Inlet, WA, August 2020},
author = {McVey, James and Cavagnaro, Rob},
abstractNote = {Data from a Nortek Signature1000 deployed on a lander for 14 days in Aug 2020 in the entrance to Sequim Bay, WA. Raw data were processed using the DOLfYN python package and standardized using the ME Data Pipeline python package, tsdat version 0.2.12. Processed data were partitioned into 24 hour increments and saved in the NETCDF file format.},
doi = {10.15473/1862679},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {8}
}
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