ADCP Environment

Sampling strategy ​

Time and length-scales​

Commute these to horizontal and vertical​

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Sampling time​

Repetition rate​

Sample as fast as possible (spread out the spectral density of noise)​

Trade off against power/storage​

Bin size​

No smaller than advective lengthscale if using across beam methods​

Factor this into ambiguity velocity​

Links between bin size/nominal velocity accuracy, sub-pings (averaging across pings) duration of data aggregation (burst)​

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No of samples​

Burst vs continuous​

Consider Burst periods​

Power/Storage saving ​

Ensure capture required dynamics ​

Time averaging (important to specify whether the averaging is over the ensemble period for the full deployment period. )​

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what your max velocities will be ​

ambiguity velocity - set it accordingly for your flows ​

Likely SNR​

scatterers if known. ​

Water velocities; energy.​

Likely turbulence ROT 10%​

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Stratification for stratified environments​

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Shear (boundary layer or otherwise)​

Estimate expected shear if possible: in the presence of shear, any variation in instrument orientation (pitch, roll or heading) will result in velocity differences due to background shear not being correctly removed, leading to bias in epsilon estimates.​

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Waves​

Expected influence of wave field Stokes drift on surface measurements​

Consider becoming familiar with wave removal algorithms.​

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