Admiralty Inlet Advanced Turbulence Measurements: Final Data and Code Archive


Data and code that is not already in a public location that is used in Kilcher, Thomson, Harding, and Nylund (2017) "Turbulence Measurements from Compliant Moorings - Part II: Motion Correction" doi: 10.1175/JTECH-D-16-0213.1.

The links point to Python source code used in the publication. All other files are source data used in the publication.

11 Resources

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Related Datasets

Datasets associated with the same DOE project
  Submission Name Resources Submitted Status

Additional Info

DOE Project Name: Advanced Turbulence Measurement Techniques for Current Device Field Deployments Collab with UW
DOE Project Number: FY16 AOP 132401
DOE Project Lead: Ryan Sun Chee Fore
DOI: 10.15473/1422210
Last Updated: over a year ago
Data from February, 2011
Submitted Jun 1, 2017


National Renewable Energy Laboratory



Publicly accessible License 


Levi Kilcher
National Renewable Energy Laboratory
Jim Thomson
Applied Physics Lab University of Washington
Samuel Harding
Pacific Northwest National Lab


MHK, Marine, Hydrokinetic, energy, power, Water Velocity, Washington, Admiralty Inlet, tidal turbulance, mooring, instrumentation, sensors, in situ oceanic, buoy observations, python source code, current, data, code, turbulence, measurement, monitoring, python, Matlab, source, ADV, buoy, IMU, sensor, inertial motion, correction, high-precision, VEC, Nortek Vector, bench, test, torpedo, resource, DOLfYN, NREL, University of Washington, PNNL, lab data, processed data, processing, DeepWater Buoyancy, Puget Sound, StableMoor, Tidal Turbulence Mooring, TTM


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