Deployment: Difference between revisions

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Standardizing active voice and trying to clarify recommendations
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#* Ensure measurement velocity range is sufficient for anticipated background flow, tides, surface waves and internal waves
#* Ensure measurement velocity range is sufficient for anticipated background flow, tides, surface waves and internal waves
#* For pulse-pulse coherent measurements, minimise potential issues due to phase wrapping by setting the ambiguity velocity to be larger than the maximum flow speed that is expected
#* For pulse-pulse coherent measurements, minimise potential issues due to phase wrapping by setting the ambiguity velocity to be larger than the maximum flow speed that is expected
#* Ensure that spatial parameters (number of bins and bin size) are selected so that several bins [SHOULD WE QUANTIFY THIS] are within the expected [[inertial subrange]] that extends from the Kolmogorov scale [[Nomenclature| <math>L_K</math>]] to the Ozmidov scale [[Nomenclature| <math>L_o</math>]]  [IS IT POSSIBLE TO LINK TO APPROPRIATE TABLE?]. Use anticipated stratification and turbulence levels to determine <math>L_K</math> and <math>L_o</math>.
#* Ensure that spatial parameters (number of bins and bin size) are selected so that several bins [SHOULD WE QUANTIFY THIS] are within the expected [[velocity inertial subrange model | inertial subrange]] that extends from the Kolmogorov scale [[Nomenclature| <math>L_K</math>]] to the Ozmidov scale [[Nomenclature| <math>L_o</math>]]  [IS IT POSSIBLE TO LINK TO APPROPRIATE TABLE?]. Use anticipated stratification and turbulence levels to determine <math>L_K</math> and <math>L_o</math> for the deployment location.
# Velocity measurements
# Velocity measurements
#* Record in Beam coordinates​
#* Record raw data in along-beam coordinates​
## Maximise velocity accuracy whilst minimising averaging (pings per ensemble)
#* Maximise velocity accuracy whilst minimising averaging (pings per ensemble) [(JMM): IS THERE A TYPICAL PINGS PER ENSEMBLE WE CAN RECOMMEND? (i.e. 1 or 2 are all I used at a high flow site)
## Select <math>\varepsilon</math> estimate observation period (period over which structure function is evaluated) consistent with fundamental requirement of stationary statistics
#* If using a duty cycle, ensure that each burst is long enough to obtain stationary statistics necessary for <math>\varepsilon</math> estimates [(JMM) I REWORDED THIS FROM '<math>\varepsilon</math> estimate observation period', but I don't know if it is any less confisuing]
## Maximise the number of profiles (ensembles) per <math>\varepsilon</math> estimate observation period to improve statistics
#* Maximise the number of profiles (ensembles) per <math>\varepsilon</math> estimate observation period to improve statistics [(JMM) IS THIS ONLY DETERMINED BY THE SAMPLE RATE?]
## Instruments with an extra (vertical) beam typically allow a different configuration to the angled beams
#* Avoid/reduce interference with nearby instruments to reduce/avoid interference by sampling at different intervals.
#* For instruments with an extra (vertical) beam, select the desired configuration of the angled beams [(JMM) CAN WE BE MORE SPECIFIC HERE? ]]
# Motion control​ during deployment
# Motion control​ during deployment
## Sufficient buoyancy on frame to hold position well, but not obstructing beam path ​
#* For bottom mounted instruments, minimise motion by ensuring that the frame is sufficiently heavy and streamlined to withstand the flow conditions at the deployment location
## Consider also nearby moorings and frames to reduce/avoid interference.
#* For moored instruments, minimise motion by ensuring there is sufficient buoyancy on frame to hold position well. Also ensure that the buoyancy components do not obstruct beam path ​
## If the mooring can move, collect depth (pressure sensor on ADCP or adjacent instrument) and orientation data (heading, pitch and roll) at the same frequency as the velocity profiles data. Consider high resolution add-on’s such as AHRS. ​
#* For moored instruments, consider impact of knock-down on location of observations in the water column when designing the mooring
## Mooring design should consider impact of knock-down on location of observations in the water column
#* For moored instruments, collect depth and orientation data (heading, pitch and roll) at the same frequency as the velocity profiles data. Depth measurements could be made by the pressure sensor on ADCP or by adjacent instrument. Consider high resolution add-on’s such as AHRS. ​[(JMM) WHAT IS THIS ACRONYM]
# Power and Storage ​for self-contained deployments
# Power and Storage ​for self-contained deployments
## Planned deployment duration
#* Ensure the battery and memory capacity are sufficient for the planned deployment duration
## Manufacturer’s expected energy consumption versus battery capacity at expected temperature
#* Factor in the expected water temperature when estimating the battery capacity and energy consumption  
## Manufacturer’s expected memory required per recorded profile (ensemble) versus available memory
#* Factor in the available memory and the manufacturer’s expected memory required per recorded profile (ensemble) when estimating the memory capacity
## Extending interval between observation periods (burst mode) reduces duty cycle allowing longer duration deployment but with reduced temporal resolution of <math>\varepsilon</math> estimates
#* For long deployments, extend the interval between observation periods (burst mode). This allows for longer duration deployments but reduces the temporal resolution of <math>\varepsilon</math> estimates


'''SUGGEST REMOVING BOTH OF THE FOLLOWING PAGES'''
'''SUGGEST REMOVING BOTH OF THE FOLLOWING PAGES'''

Revision as of 22:13, 10 November 2021

In order to collect useful measurements that actually resolve the turbulence statistics consistent with the application of the Kolmogorov hypotheses of isotropic turbulence, it is important to configure and deploy your instrument using best practices. In setting up your instrument, it is recommended that consider the following recommendations:

  1. Environmental conditions
    • Ensure measurement velocity range is sufficient for anticipated background flow, tides, surface waves and internal waves
    • For pulse-pulse coherent measurements, minimise potential issues due to phase wrapping by setting the ambiguity velocity to be larger than the maximum flow speed that is expected
    • Ensure that spatial parameters (number of bins and bin size) are selected so that several bins [SHOULD WE QUANTIFY THIS] are within the expected inertial subrange that extends from the Kolmogorov scale [math]\displaystyle{ L_K }[/math] to the Ozmidov scale [math]\displaystyle{ L_o }[/math] [IS IT POSSIBLE TO LINK TO APPROPRIATE TABLE?]. Use anticipated stratification and turbulence levels to determine [math]\displaystyle{ L_K }[/math] and [math]\displaystyle{ L_o }[/math] for the deployment location.
  2. Velocity measurements
    • Record raw data in along-beam coordinates​
    • Maximise velocity accuracy whilst minimising averaging (pings per ensemble) [(JMM): IS THERE A TYPICAL PINGS PER ENSEMBLE WE CAN RECOMMEND? (i.e. 1 or 2 are all I used at a high flow site)
    • If using a duty cycle, ensure that each burst is long enough to obtain stationary statistics necessary for [math]\displaystyle{ \varepsilon }[/math] estimates [(JMM) I REWORDED THIS FROM '[math]\displaystyle{ \varepsilon }[/math] estimate observation period', but I don't know if it is any less confisuing]
    • Maximise the number of profiles (ensembles) per [math]\displaystyle{ \varepsilon }[/math] estimate observation period to improve statistics [(JMM) IS THIS ONLY DETERMINED BY THE SAMPLE RATE?]
    • Avoid/reduce interference with nearby instruments to reduce/avoid interference by sampling at different intervals.
    • For instruments with an extra (vertical) beam, select the desired configuration of the angled beams [(JMM) CAN WE BE MORE SPECIFIC HERE? ]]
  3. Motion control​ during deployment
    • For bottom mounted instruments, minimise motion by ensuring that the frame is sufficiently heavy and streamlined to withstand the flow conditions at the deployment location
    • For moored instruments, minimise motion by ensuring there is sufficient buoyancy on frame to hold position well. Also ensure that the buoyancy components do not obstruct beam path ​
    • For moored instruments, consider impact of knock-down on location of observations in the water column when designing the mooring
    • For moored instruments, collect depth and orientation data (heading, pitch and roll) at the same frequency as the velocity profiles data. Depth measurements could be made by the pressure sensor on ADCP or by adjacent instrument. Consider high resolution add-on’s such as AHRS. ​[(JMM) WHAT IS THIS ACRONYM]
  4. Power and Storage ​for self-contained deployments
    • Ensure the battery and memory capacity are sufficient for the planned deployment duration
    • Factor in the expected water temperature when estimating the battery capacity and energy consumption
    • Factor in the available memory and the manufacturer’s expected memory required per recorded profile (ensemble) when estimating the memory capacity
    • For long deployments, extend the interval between observation periods (burst mode). This allows for longer duration deployments but reduces the temporal resolution of [math]\displaystyle{ \varepsilon }[/math] estimates

SUGGEST REMOVING BOTH OF THE FOLLOWING PAGES

  1. ADCP Hardware
  2. ADCP Environment

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