TEAMER: Tidal Energy Resource Characterization and Model Validation via the Assessment of Distributed Current Measurements from microFloat Swarms, Data and Post-Access Report
This project evaluated how high-resolution, spatially distributed field data can be used to refine and validate site-scale hydrodynamic simulations of tidal channels. Use of such spatially-distributed field observations or site-scale hydrodynamic simulations will be needed for producing accurate predictions of tidal energy production over larger arrays of tidal turbines.
The data contained in this archive includes field observations of water velocity from a series of short surveys in Agate Pass taken on August 20th, 2020 using station-keeping ADCP (acoustic doppler current profiler) measurements, drifting downward-looking ADCPs, and microFloats, gathered by researchers at APL-UW under a previous project. It also includes high-resolution hydrodynamic model runs for the site during that time generated under TEAMER RFTS 4 (request for technical support) support.
An explanatory file (.pdf format) describes the survey and field data structure. Processed data is stored in .mat format.
Survey summary: start time, number of floats, water level.
microFloat data:
- Cleaned data for each float in survey,
- Time series of position (lat., lon.), depth (relative to surface), and horizontal velocity (u, v)
Drifting ADCP data:
- Cleaned data for each drifting ADCP in survey
- Time series of position (lat., lon.), sample depth (relative to surface), and observed water velocity (u,v,w)
Stationary ADCP data:
- Cleaned data for each station-keeping data set in survey
- Time series of position (lat., lon.), sample depth (relative to surface), and observed water velocity (u,v,w)
FVCOM (Finite Volume Coastal Ocean Model) model outputs:
Water level and velocity, as well as derived variables (e.g., power density) from the final refined model simulations for the Agate Pass subdomain. Contained in NetCDF and ASCII files for the duration of August 18th and 20th 2020 field surveys.
Additional scripts for processing the data and generating the figures in the report are included.
Citation Formats
University of Washington (NNMREC) Applied Physics Lab. (2020). TEAMER: Tidal Energy Resource Characterization and Model Validation via the Assessment of Distributed Current Measurements from microFloat Swarms, Data and Post-Access Report [data set]. Retrieved from https://dx.doi.org/10.15473/2246636.
Harrison, Trevor, Wang, Taiping, and Yang, Zhaoqing. TEAMER: Tidal Energy Resource Characterization and Model Validation via the Assessment of Distributed Current Measurements from microFloat Swarms, Data and Post-Access Report . United States: N.p., 20 Aug, 2020. Web. doi: 10.15473/2246636.
Harrison, Trevor, Wang, Taiping, & Yang, Zhaoqing. TEAMER: Tidal Energy Resource Characterization and Model Validation via the Assessment of Distributed Current Measurements from microFloat Swarms, Data and Post-Access Report . United States. https://dx.doi.org/10.15473/2246636
Harrison, Trevor, Wang, Taiping, and Yang, Zhaoqing. 2020. "TEAMER: Tidal Energy Resource Characterization and Model Validation via the Assessment of Distributed Current Measurements from microFloat Swarms, Data and Post-Access Report ". United States. https://dx.doi.org/10.15473/2246636. https://mhkdr.openei.org/submissions/514.
@div{oedi_6097, title = {TEAMER: Tidal Energy Resource Characterization and Model Validation via the Assessment of Distributed Current Measurements from microFloat Swarms, Data and Post-Access Report }, author = {Harrison, Trevor, Wang, Taiping, and Yang, Zhaoqing.}, abstractNote = {This project evaluated how high-resolution, spatially distributed field data can be used to refine and validate site-scale hydrodynamic simulations of tidal channels. Use of such spatially-distributed field observations or site-scale hydrodynamic simulations will be needed for producing accurate predictions of tidal energy production over larger arrays of tidal turbines.
The data contained in this archive includes field observations of water velocity from a series of short surveys in Agate Pass taken on August 20th, 2020 using station-keeping ADCP (acoustic doppler current profiler) measurements, drifting downward-looking ADCPs, and microFloats, gathered by researchers at APL-UW under a previous project. It also includes high-resolution hydrodynamic model runs for the site during that time generated under TEAMER RFTS 4 (request for technical support) support.
An explanatory file (.pdf format) describes the survey and field data structure. Processed data is stored in .mat format.
Survey summary: start time, number of floats, water level.
microFloat data:
- Cleaned data for each float in survey,
- Time series of position (lat., lon.), depth (relative to surface), and horizontal velocity (u, v)
Drifting ADCP data:
- Cleaned data for each drifting ADCP in survey
- Time series of position (lat., lon.), sample depth (relative to surface), and observed water velocity (u,v,w)
Stationary ADCP data:
- Cleaned data for each station-keeping data set in survey
- Time series of position (lat., lon.), sample depth (relative to surface), and observed water velocity (u,v,w)
FVCOM (Finite Volume Coastal Ocean Model) model outputs:
Water level and velocity, as well as derived variables (e.g., power density) from the final refined model simulations for the Agate Pass subdomain. Contained in NetCDF and ASCII files for the duration of August 18th and 20th 2020 field surveys.
Additional scripts for processing the data and generating the figures in the report are included. }, doi = {10.15473/2246636}, url = {https://mhkdr.openei.org/submissions/514}, journal = {}, number = , volume = , place = {United States}, year = {2020}, month = {08}}
https://dx.doi.org/10.15473/2246636
Details
Data from Aug 20, 2020
Last updated Jan 10, 2024
Submitted Oct 14, 2023
Organization
University of Washington (NNMREC) Applied Physics Lab
Contact
Trevor Harrison
774.212.1063
Authors
Original Source
https://mhkdr.openei.org/submissions/514Research Areas
Keywords
marine, energy, TEAMER, environment, resource, tidal velocity, power, processed data, code, MATLAB, microFloat, ADCP, Agate Pass, Puget Sound, Washington, Testing Expertise and Access for Marine Energy Research, tidal, characterization, acoustic doppler current profiler, RFTS 4DOE Project Details
Project Name Testing Expertise and Access for Marine Energy Research
Project Lead Lauren Ruedy
Project Number EE0008895
