Admiralty Inlet Advanced Turbulence Measurements: June 2014

This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in June of 2014. The measurements were made using Inertial Motion Unit (IMU) equipped ADVs mounted on Tidal Turbulence Mooring's (TTMs). The TTM positions the ADV head above the seafloor to make mid-depth turbulence measurements. The inertial measurements from the IMU allows for removal of mooring motion in post processing.

The mooring motion has been removed from the stream-wise and vertical velocity signals (u, w). The lateral (v) velocity has some 'persistent motion contamination' due to mooring sway.

Each ttm was deployed with two ADVs. The 'top' ADV head was positioned 0.5m above the 'bottom' ADV head. The TTMs were placed in 58m of water. The position of the TTMs were:

ttm01 : (48.1525, -122.6867)
ttm01b : (48.15256666, -122.68678333)
ttm02b : (48.152783333, -122.686316666)

Deployments TTM01b and TTM02b occurred simultaneously and were spaced approximately 50m apart in the cross-stream direction.

- Velocity data (_u, urot, uacc) is in m/s.
- Acceleration (Accel) data is in m/s^2.
- Angular rate (AngRt) data is in rad/s.
- The components of all vectors are in 'ENU' orientation. That is, the first index is True East, the second is True North, and the third is Up (vertical).
- All other quantities are in the units defined in the Nortek Manual.

Motion correction and rotation into the ENU earth reference frame was performed using the Python-based open source DOLfYN library ( Details on motion correction can be found there.

Additional details on TTM measurements at this site can be found in the included Marine Energy Technology Symposium paper.
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Additional Info

DOE Project Name: Advanced Turbulence Measurement Techniques for Current Device Field Deployments Collab with UW
DOE Project Number: FY14 AOP 1321
DOE Project Lead: Alison LaBonte
DOI: 10.15473/1245825
Last Updated: a month ago
Data from June, 2014
Submitted Sep 23, 2015

National Renewable Energy Laboratory




Levi Kilcher
National Renewable Energy Laboratory


MHK, Marine, Hydrokinetic, energy, power, Admiralty Inlet, Puget Sound, water velocity, Turbulence, Matlab, data, DOLfYN, Python, TTM, vector files, code, resource, effectiveness, safety


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