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Title: 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}
}