Atomix - User contributions [en]

Benchmark datasets for velocity measurements

2022-03-07T02:36:40Z

CraigStevens: added entry

Information is currently being transferred onto the wiki about the additional datasets.

{| class="wikitable"
|+Summary of potential benchmark datasets for testing existing and future algorithms
|-
! style="width: 12%"| Dataset name
! Total depth
! Deployment height above bottom
! Background speed
! <math>\varepsilon</math> range
! Stratification/shear information
! style="width: 20%"| Comment
|-
! Units
! [m]
! [m]
! [m/s]
! [W/kg]
!
!
|-
| Tidal slough
| 2.8
| 0.15 and 0.45
| 0.15-0.2m/s (median)
| 1e-8 to1e-5
| Unstratified, but shear-induced anisotropy
| Unusual spikes at 0.15 m. At 0.45m, the viscous subrange is occasionally resolved
|-
| Tidal shelf
| 185
| 0.4 and 1.4
| <0.3m/s but usually 0.1m/s
|
| Bottom one in log-layer using the classical definition
| Low-quality dataset
|-
| Lake
|
|
|
|
|
| Sloping BBL in thermocline (DW)
|-
| Surface waves
|
|
|
|
|
| large orbital sigma vs mean current (SM)
|-
| Surface waves
|
|
|
|
|
| sigma/U is roughly 1 (JM)
|-
| MAVS
|353
|248
|0.15 max.
|1e-8 to 1e-6
|weak stratification
|*under ice boundary layer, MAVS suspended 5m depth
|}

[[Category:Velocity point-measurements]]

Main Page

2021-11-29T20:17:14Z

CraigStevens:

__NOTOC__
== Welcome to the ATOMIX wiki! ==
This wiki was initially developed by the [https://scor-int.org/group/analysing-ocean-turbulence-observations-to-quantify-mixing-atomix/ SCOR working group 160] - Analysing ocean turbulence observations to quantify mixing (ATOMIX). It is meant to consolidate knowledge about oceanic turbulence data acquisition and processing, and to provide guidelines for processing and publication of data sets aimed at both experienced and new users.

[https://landing.mailerlite.com/webforms/landing/e4j3z7 Please sign up to our mailing list!]

== Wiki structure ==
This wiki is organized to provide a best practice for turbulence data processing from the three main instruments used for this purpose. Below, you can select your preferred device and navigate to the corresponding subpage.

{|class="wikitable" style="margin-left: auto; margin-right: auto; border: none; text-align:center;"
|[[File:VMP500-CookSt.JPG|250px|link=Shear probes|Shear probes]]
|[[File:AdcpMTOrig.png|250px|link=Velocity profilers|Velocity profilers]]
|[[File:TIC Leopold 1.jpg|120px|link=Velocity point-measurements|Velocity point-measurements]]
|-
|[[Shear probes]]
|[[Velocity profilers]]
|[[Velocity point-measurements]]
|}

These three individual processing guidelines share the same [[Nomenclature]] and [[NetCDF parameter]] attributes.

== Turbulence Sensing Gallery ==
We also have the [[ATOMIX Gallery]] with images illustrating various sampling configurations and instruments.

== For new ATOMIX wiki users ==
This wiki is meant to be dynamic and grow with the advances achieved in the scientific turbulence community. To be successful, your active contribution to this effort is needed!
* [[The scope and approach of the ATOMIX wiki]].
* Please visit the [[How to use and contribute|contribute]] page to learn how to comment and edit these pages.
* Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.

Main Page

2021-11-29T20:14:35Z

CraigStevens: just shifted a link around

__NOTOC__
== Welcome to the ATOMIX wiki! ==
This wiki was initially developed by the [https://scor-int.org/group/analysing-ocean-turbulence-observations-to-quantify-mixing-atomix/ SCOR working group 160] - Analysing ocean turbulence observations to quantify mixing (ATOMIX). It is meant to consolidate knowledge about oceanic turbulence data acquisition and processing, and to provide guidelines for processing and publication of data sets aimed at both experienced and new users.

[https://landing.mailerlite.com/webforms/landing/e4j3z7 Please sign up to our mailing list!]

== Wiki structure ==
This wiki is organized to provide a best practice for turbulence data processing from the three main instruments used for this purpose. Below, you can select your preferred device and navigate to the corresponding subpage.

{|class="wikitable" style="margin-left: auto; margin-right: auto; border: none; text-align:center;"
|[[File:VMP500-CookSt.JPG|250px|link=Shear probes|Shear probes]]
|[[File:AdcpMTOrig.png|250px|link=Velocity profilers|Velocity profilers]]
|[[File:TIC Leopold 1.jpg|120px|link=Velocity point-measurements|Velocity point-measurements]]
|-
|[[Shear probes]]
|[[Velocity profilers]]
|[[Velocity point-measurements]]
|}

These three individual processing guidelines share the same [[Nomenclature]] and [[NetCDF parameter]] attributes.

== Turbulence Sensing Gallery ==
We also have the [[ATOMIX Gallery]] with images illustrating various sampling configurations and instruments.

== For new ATOMIX wiki users ==
This wiki is meant to be dynamic and grow with the advances achieved in the scientific turbulence community. To be successful, your active contribution to this effort is needed!
* [[The scope and approach of the ATOMIX wiki]]
* Please visit the [[How to use and contribute|contribute]] page to learn how to comment and edit these pages.
* Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.

The scope and approach of the ATOMIX wiki

2021-11-29T19:52:23Z

CraigStevens:

This wiki is all about collecting the best quality turbulence dissipation rate <math>\varepsilon</math> data possible. This is an important quantity in understanding how the ocean works at a range of scales.

The challenge is – while new technology makes it easy to collect the raw data that make <math>\varepsilon</math> estimation possible - the extraction of quality <math>\varepsilon</math> from these raw data is not simple.

With the growing array of hardware able to collect these data it’s in everyone’s interests for these numbers to be as reliable as possible. We focus on three particular approaches - this may expand in the future but the present choices are common approaches. These three individual processing guidelines share the same [[Nomenclature]] and [[NetCDF parameter|data format]] attributes.

If you are new to ocean turbulence this wiki will give you the tools to help understand the processing steps and terminology. And then – primarily – it provides a way to test your analysis methodology with well-studied benchmark datasets so you have a measure of how good your approach is.

It is not a “turbulence analysis package” – that’s not in our scope or purpose.

If you are experienced with one kind of turbulence instrument and are embarking on working with other approaches this wiki will be a short-cut to building on what you already know.

It can be used at any stage in the process – from experiment design, through collection and then primarily the analysis. Like any good recipe it is worth looking at before embarking.

The wiki format means the knowledge base and datasets will continue to grow and provide an evolving resource and a way to connect with the turbulence community.

The scope and approach of the ATOMIX wiki

2021-11-29T19:40:04Z

CraigStevens: new overview page

This wiki is all about collecting the best quality turbulence dissipation rate <math>\varepsilon</math> data possible. This is an important quantity in understanding how the ocean works at a range of scales.

The challenge is – while new technology makes it easy to collect the raw data that make <math>\varepsilon</math> estimation possible the extraction of quality <math>\varepsilon</math> from these raw data is not simple.

With the growing array of hardware able to collect these data it’s in everyone’s interests for these numbers to be as reliable as possible. We focus on three particular approaches - this may expand in the future but the present choices are common approaches. These three individual processing guidelines share the same [[Nomenclature]] and [[NetCDF parameter|data format]] attributes.

If you are new to ocean turbulence this wiki will give you the tools to help understand the processing steps and terminology. And then – primarily – it provides a way to test your analysis methodology with well-studied benchmark datasets so you have a measure of how good your approach is.

It is not a “turbulence analysis package” – that’s not in our scope or purpose.

If you are experienced with one kind of turbulence instrument and are embarking on working with other approaches this wiki will be a short-cut to building on what you already know.

It can be used at any stage in the process – from experiment design, through collection and then primarily the analysis. Like any good recipe it is worth looking at before embarking.

The wiki format means the knowledge base and datasets will continue to grow and provide an evolving resource and a way to connect with the turbulence community.

Main Page

2021-11-29T19:29:07Z

CraigStevens: start a stub for new overview page

__NOTOC__
== Welcome to the ATOMIX wiki! ==
This wiki was initially developed by the [https://scor-int.org/group/analysing-ocean-turbulence-observations-to-quantify-mixing-atomix/ SCOR working group 160] - Analysing ocean turbulence observations to quantify mixing (ATOMIX). It is meant to consolidate knowledge about oceanic turbulence data acquisition and processing, and to provide guidelines for processing and publication of data sets aimed at both experienced and new users.

[[The scope and approach of the ATOMIX wiki]]

[https://landing.mailerlite.com/webforms/landing/e4j3z7 Please sign up to our mailing list!]

== Wiki structure ==
This wiki is organized to provide a best practice for turbulence data processing from the three main instruments used for this purpose. Below, you can select your preferred device and navigate to the corresponding subpage.

{|class="wikitable" style="margin-left: auto; margin-right: auto; border: none; text-align:center;"
|[[File:VMP500-CookSt.JPG|250px|link=Shear probes|Shear probes]]
|[[File:AdcpMTOrig.png|250px|link=Velocity profilers|Velocity profilers]]
|[[File:TIC Leopold 1.jpg|120px|link=Velocity point-measurements|Velocity point-measurements]]
|-
|[[Shear probes]]
|[[Velocity profilers]]
|[[Velocity point-measurements]]
|}

These three individual processing guidelines share the same [[Nomenclature]] and [[NetCDF parameter]] attributes.

== Turbulence Sensing Gallery ==
We also have the [[ATOMIX Gallery]] with images illustrating various sampling configurations and instruments.

== For new ATOMIX wiki users ==
This wiki is meant to be dynamic and grow with the advances achieved in the scientific turbulence community. To be successful, your active contribution to this effort is needed! Please visit the [[How to use and contribute|contribute]] page to learn how to comment and edit these pages. Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.

Main Page

2021-11-26T06:52:54Z

CraigStevens: sentence tweak

__NOTOC__
== Welcome to the ATOMIX wiki! ==
This wiki was initially developed by the [https://scor-int.org/group/analysing-ocean-turbulence-observations-to-quantify-mixing-atomix/ SCOR working group 160] - Analysing ocean turbulence observations to quantify mixing (ATOMIX). It is meant to consolidate knowledge about oceanic turbulence data acquisition and processing, and to provide guidelines for processing and publication of data sets aimed at both experienced and new users.

[https://landing.mailerlite.com/webforms/landing/e4j3z7 Please sign up to our mailing list!]

== Wiki structure ==
This wiki is organized to provide a best practice for turbulence data processing from the three main instruments used for this purpose. Below, you can select your preferred device and navigate to the corresponding subpage.

{|class="wikitable" style="margin-left: auto; margin-right: auto; border: none; text-align:center;"
|[[File:VMP500-CookSt.JPG|250px|link=Shear probes|Shear probes]]
|[[File:AdcpMTOrig.png|250px|link=Velocity profilers|Velocity profilers]]
|[[File:TIC Leopold 1.jpg|120px|link=Velocity point-measurements|Velocity point-measurements]]
|-
|[[Shear probes]]
|[[Velocity profilers]]
|[[Velocity point-measurements]]
|}

These three individual processing guidelines share the same [[Nomenclature]] and [[NetCDF parameter]] attributes.

== Turbulence Sensing Gallery ==
We also have the [[ATOMIX Gallery]] with images illustrating various sampling configurations and instruments.

== For new ATOMIX wiki users ==
This wiki is meant to be dynamic and grow with the advances achieved in the scientific turbulence community. To be successful, your active contribution to this effort is needed! Please visit the [[How to use and contribute|contribute]] page to learn how to comment and edit these pages. Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.

Talk:Anisotropic turbulence

2021-11-23T18:42:29Z

CraigStevens:

The page [[Isotropic_turbulence]] exists, so is this current page intending to link to a different isotropy page? [[User:CynthiaBluteau|CynthiaBluteau]] ([[User talk:CynthiaBluteau|talk]]) 16:59, 23 November 2021 (CET)

fixed --[[User:CraigStevens|CraigStevens]] ([[User talk:CraigStevens|talk]]) 19:42, 23 November 2021 (CET)

Anisotropic turbulence

2021-11-23T18:42:05Z

CraigStevens: fixed link

{{DefineConcept
|description=Anisotropic turbulence is where the fluctuating flow properties have some directional dependence
|article_type=Fundamentals
}}

A state whereby the velocity components and their derivatives are dependent on direction. If this is not the case the turbulence is said to be [[isotropic_turbulence|isotropic]].

Taylor makes the statement "That there is a strong tendency to [[isotropic turbulence|isotropy]] in turbulent motion has long been known. It has been shown by Townend,<ref>Townend, H.C.H., 1934. Statistical measurements of turbulence in the flow of air through a pipe. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 145(854), pp.180-211 (highly recommended for a look at early optical approaches to quantifying turbulence).</ref> for instance, that the average values of the three components of velocity in the central region of a pipe of square section are nearly equal to one another<ref>Taylor, G. I. (1935). Statistical theory of turbulence. Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences, 151(873), 421-444. https://doi.org/10.1098/rspa.1934.0090</ref>" A natural consequence of this is the large body of work on anisotropy in boundary-layer flows.

However, stratification also influences the degree of isotropy. Taylor then goes on to say "in the atmosphere the same phenomenon has been observed; though, as might be expected, the vertical components are smaller near the ground than the horizontal ones, this inequality decreases with height above the ground."

The [[Nomenclature#Theoretical_Length_and_Time_Scales|Ozmidov Lengthscale]] is the largest scale for stationary homogeneous isotropic turbulence and is defined <math>L_o=\left(\frac{\varepsilon}{N^3}\right)^{1/2}</math>. Overturns greater than the Ozmidov lengthscale are partially suppressed by density stratification as defined by [[Nomenclature#Fluid_properties_and_background_gradients_for_turbulence_calculations|buoyancy frequency]] <math>N</math> and isotropy is impeded <ref>Kunze, E., 2019. A unified model spectrum for anisotropic stratified and isotropic turbulence in the ocean and atmosphere. Journal of Physical Oceanography, 49(2), pp.385-407. https://doi.org/10.1175/JPO-D-18-0092.1</ref>.

Instrument vibration

2021-11-22T19:13:05Z

CraigStevens: made a start

{{DefineConcept
|parameter_name=<math>\hat{k}</math>
|description= Vibration of the instrument affects measurement and parameter quality.
|article_type=Concept
|instrument_type=
}}

Flow past the instrument as well as tether-effects can transfer vibration to the instrument and subsequently manifest themselves in the measurements. This can be observed in velocity or shear spectra<ref>Kolås, E.H., Mo-Bjørkelund, T. and Fer, I., 2021. Turbulence measurements from a Light Autonomous Underwater Vehicle. Ocean Science Discussions, pp.1-16.</ref>.

Spectral fitting

2021-11-22T19:00:10Z

CraigStevens: add stub to vibration

{{DefineConcept
|description=Enter
|article_type=Concept
|instrument_type=Velocity point-measurements,Shear probes
}}
Insert info on how we can fit models to spectral obs. A critical element is the identification and removal of [[instrument vibration]] effects.

Assigned to [[User:CynthiaBluteau|CynthiaBluteau]] ([[User talk:CynthiaBluteau|talk]]) 01:21, 30 October 2021 (CEST)

Shear probes

2021-11-22T18:55:45Z

CraigStevens: some tweaks

== Welcome to the shear probe group! ==

The shear probe group addresses best practices in obtaining dissipation rate estimates from shear probes using a platform-independent approach. Our recommendations are applicable for measurements from probes attached to e.g., conventional gravity-driven loose-tether vertical profilers, ocean gliders, autonomous underwater vehicles (AUVs), or autonomous self-propelled floats (e.g. SOLO).

== Scope ==

The shear probe group provides the following:

{|class="wikitable" style="margin-left: auto; margin-right: auto; border: none; text-align:center;"
|[[File:VMP500-CookSt.JPG|250px|link=Flow chart for shear probes|Flow chart for shear probes]]
|[[File:M Rider Glider 1.JPG|250px|link=Dataset requirements for shear probes|Dataset requirements for shear probes]]
|[[File:MSS ADCP CTD (Schaffer).JPG|250px|link=Benchmark datasets for shear probes|Benchmark datasets for shear probes]]
|-
|[[Flow chart for shear probes|Flow chart for data processing]]
|[[Dataset requirements for shear probes | Dataset requirements]]
|[[Benchmark datasets for shear probes | Benchmark datasets]]
|}

[[Category: Shear probes]]

-----
Return [[Main Page]]

Taylor's Frozen Turbulence

2021-11-22T08:29:11Z

CraigStevens: made a start... but will look for more

{{DefineConcept
|description=The turbulence eddies advected past a sensor (or that a sensor is passing through) retain their properties
|article_type=Concept
}}

Taylor’s frozen turbulence hypothesis (sometimes "frozen field" or "frozen eddy")<ref>Taylor GI (1938) The spectrum of turbulence. Proc Roy Soc Lond 164: 476–490 https://doi.org/10.1098/rspa.1938.0032</ref> is a primary assumption invoked when seeking to quantify turbulence physics using time-resolving sensors<ref>Higgins, C.W., Froidevaux, M., Simeonov, V., Vercauteren, N., Barry, C. and Parlange, M.B., 2012. The effect of scale on the applicability of Taylor’s frozen turbulence hypothesis in the atmospheric boundary layer. Boundary-layer meteorology, 143(2), pp.379-391. https://doi.org/10.1007/s10546-012-9701-1</ref>. Thus it is applicable to the shear and velocimeter approaches described here.

As an instrument measures the fluctuations of a variable such as velocity, shear, or temperature with a sensor at one location for a period of time the effect of eddies is observed as they drift by the sensor. However, the eddies could be changing size and shape as they drift by the sensor. Solviev and Lukas reduce the practical suitability of any situation to requirement that the fluctuations are within 10% of its mean speed past the sensor<ref>Soloviev, A. and Lukas, R., 2003. Observation of wave-enhanced turbulence in the near-surface layer of the ocean during TOGA COARE. Deep Sea Research Part I: Oceanographic Research Papers, 50(3), pp.371-395. doi:10.1016/S0967-0637(03)00004-9 </ref>.

Large-scale turbulence anisotropy

2021-11-22T07:38:52Z

CraigStevens: redirect

#REDIRECT [[anisotropic turbulence|anisotropy]]

Anisotropic turbulence

2021-11-22T07:22:02Z

CraigStevens: made a start

{{DefineConcept
|description=Anisotropic turbulence is where the fluctuating flow properties have some directional dependence
|article_type=Fundamentals
}}

A state whereby the velocity components and their derivatives are dependent on direction. If this is not the case the turbulence is said to be [[isotropic]].

Taylor makes the statement "That there is a strong tendency to [[isotropic turbulence|isotropy]] in turbulent motion has long been known. It has been shown by Townend,<ref>Townend, H.C.H., 1934. Statistical measurements of turbulence in the flow of air through a pipe. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 145(854), pp.180-211 (highly recommended for a look at early optical approaches to quantifying turbulence).</ref> for instance, that the average values of the three components of velocity in the central region of a pipe of square section are nearly equal to one another<ref>Taylor, G. I. (1935). Statistical theory of turbulence. Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences, 151(873), 421-444. https://doi.org/10.1098/rspa.1934.0090</ref>" A natural consequence of this is the large body of work on anisotropy in boundary-layer flows.

However, stratification also influences the degree of isotropy. Taylor then goes on to say "in the atmosphere the same phenomenon has been observed; though, as might be expected, the vertical components are smaller near the ground than the horizontal ones, this inequality decreases with height above the ground."

The [[Nomenclature#Theoretical_Length_and_Time_Scales|Ozmidov Lengthscale]] is the largest scale for stationary homogeneous isotropic turbulence and is defined <math>L_o=\left(\frac{\varepsilon}{N^3}\right)^{1/2}</math>. Overturns greater than the Ozmidov lengthscale are partially suppressed by density stratification as defined by [[Nomenclature#Fluid_properties_and_background_gradients_for_turbulence_calculations|buoyancy frequency]] <math>N</math> and isotropy is impeded <ref>Kunze, E., 2019. A unified model spectrum for anisotropic stratified and isotropic turbulence in the ocean and atmosphere. Journal of Physical Oceanography, 49(2), pp.385-407. https://doi.org/10.1175/JPO-D-18-0092.1</ref>.

Anisotropic turbulence

2021-11-22T07:03:19Z

CraigStevens: Created page with "{{DefineConcept |description=Anisotropic turbulence is where the fluctuating flow properties have some directional dependence |article_type=Fundamentals }} A state whereby th..."

{{DefineConcept
|description=Anisotropic turbulence is where the fluctuating flow properties have some directional dependence
|article_type=Fundamentals
}}

A state whereby the velocity components and their derivatives are dependent on direction. If this is not the case the turbulence is said to be [[isotropic]].

Taylor makes the statement "That there is a strong tendency to [[isotropic turbulence|isotropy]] in turbulent motion has long been known. It has been shown by Fage and Townend,* for instance, that the average values of the three components of velocity in the central region of a pipe of square section are nearly equal to one another<ref>Taylor, G. I. (1935). Statistical theory of turbulence. Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences, 151(873), 421-444. </ref>" A natural consequence of this is the large body of work on anisotropy in boundary-layer flows.

However, stratification also influences the degree of isotropy. Taylor then goes on to say "in the atmosphere the same phenomenon has been observed; though, as might be expected, the vertical components are smaller near the ground than the horizontal ones, this inequality decreases with height above the ground."

The Ozmidov lengthscale is the largest scale for stationary homogeneous isotropic turbulence. Overturns greater than the Ozmidov lengthscale are partially suppressed by density stratification as defined by N and impedes isotropy<ref>Kunze, E., 2019. A unified model spectrum for anisotropic stratified and isotropic turbulence in the ocean and atmosphere. Journal of Physical Oceanography, 49(2), pp.385-407. https://doi.org/10.1175/JPO-D-18-0092.1</ref>.

Isotropic turbulence

2021-11-22T07:00:20Z

CraigStevens:

{{DefineConcept
|description=Turbulence properties are independent of direction
|article_type=Fundamentals
}}

A state whereby the velocity components and their derivatives are independent of direction. If this is not the case the turbulence is said to be [[Anisotropic turbulence|anisotropic]].

The largest scale eddies of a turbulent flow contain the bulk of the turbulence kinetic energy of the flow.
These eddies tend to be somewhat organized, and their shape and size reflect the physical boundaries and other characteristics of the flow. The large eddies break down into smaller eddies through flow interactions and they eventually reach a size at which they tend to be isotropic – they do not have a preferred orientation and appear similar from all points of view. For isotropic turbulence, the irreversible rate of dissipation of the turbulence kinetic energy through viscous friction, ϵ, is related to the variance of any component of the (rate of) strain or the (rate of) shear, by 
<math>
\begin{equation}
\varepsilon =15\nu \overline{\left(\frac{\partial u}{\partial x} \right)^2} = \frac{15}{2} \nu \overline{\left(\frac{\partial u}{\partial z} \right)^2}
\label{eq:epsilon_1}
\end{equation}
</math> 
where <math>\partial u/\partial x</math> is any one of the three-components of strain, <math>\partial u/\partial z</math> is any one of the six components of shear, <math>\nu</math> is the kinematic viscosity, and the overline denotes a spatial average <ref>Taylor, G. I. (1935). Statistical theory of turbulence. Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences, 151(873), 421-444. </ref>.

Isotropic turbulence

2021-11-22T06:28:52Z

CraigStevens: tweaked text a little, corrected reference and added stub to anisotropy

{{DefineConcept
|description=Turbulence properties are independent of direction
|article_type=Fundamentals
}}

A state whereby the velocity components and their derivatives are independent of direction. If this is not the case the turbulence is said to be [[anisotropic]].

The largest scale eddies of a turbulent flow contain the bulk of the turbulence kinetic energy of the flow.
These eddies tend to be somewhat organized, and their shape and size reflect the physical boundaries and other characteristics of the flow. The large eddies break down into smaller eddies through flow interactions and they eventually reach a size at which they tend to be isotropic – they do not have a preferred orientation and appear similar from all points of view. For isotropic turbulence, the irreversible rate of dissipation of the turbulence kinetic energy through viscous friction, ϵ, is related to the variance of any component of the (rate of) strain or the (rate of) shear, by 
<math>
\begin{equation}
\varepsilon =15\nu \overline{\left(\frac{\partial u}{\partial x} \right)^2} = \frac{15}{2} \nu \overline{\left(\frac{\partial u}{\partial z} \right)^2}
\label{eq:epsilon_1}
\end{equation}
</math> 
where <math>\partial u/\partial x</math> is any one of the three-components of strain, <math>\partial u/\partial z</math> is any one of the six components of shear, <math>\nu</math> is the kinematic viscosity, and the overline denotes a spatial average <ref>Taylor, G. I. (1935). Statistical theory of turbulence. Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences, 151(873), 421-444. </ref>.

Stationarity

2021-11-09T19:00:34Z

CraigStevens: added reference

{{DefineConcept
|description= Stationarity refers to a constancy of statistical properties in any time (or space) series.
|article_type=Concept
|instrument_type=Velocity point-measurements, Velocity profilers, Shear probes
}}

Stationarity in the context of ocean turbulence refers to a constancy of statistical properties. The classic text on turbulence Tennekes and Lumley <ref>Tennekes, H., Lumley, J.L. and Lumley, J.L., 1972. A first course in turbulence. MIT press.</ref> makes the point that "we would like to predict transport in real flows, which generally are inhomogeneous and nonstationary". It then goes on to focus on idealised, homogeneous, stationary situations. While many advances have been made in the subsequent 50 years, it is fair to say that this big-picture limitation remains<ref>Meneveau, C. and Marusic, I., 2017. Whither Turbulence and Big Data in the 21st Century. DOI 10.1007/978-3-319-41217-7</ref>.

[[File:Stationarity Figs.png|thumb|(a) a particle moving in space and time (after Tennekes and Lumley, 1972) and (b) timeseries of velocity for stationary and non-stationary timeseries (after Kundu and Cohen 2004). ]]

From the perspective of ocean turbulence the degree of stationarity needs to quantified in order to provide an indication of the viability of spectral approaches that assume stationarity. One way this [[Quality control measures|quality control measure]] can be achieved is by varying the length of record section being examined and seeing if spectral properties vary substantially<ref>Schulz, E.W. and Sanderson, B.G., 2004. Stationarity of turbulence in light winds during the Maritime Continent Thunderstorm Experiment. Boundary-layer meteorology, 111(3), pp.523-541. https://doi.org/10.1023/B:BOUN.0000016546.42602.0a</ref>. Explicit examination of the issue in an oceanic context is not common. More attention is paid in atmospheric boundary layers<ref>Mahrt, L. and Bou-Zeid, E., 2020. Non-stationary boundary layers. Boundary-Layer Meteorology, 177(2), pp.189-204. https://doi.org/10.1007/s10546-020-00533-w</ref> where the lack of an [[Velocity inertial subrange model|inertial subrange]], or the lack of a "spectral gap" between driving processes and turbulence are considered indicators. However, the scales of processes in the ocean precludes the use of a spectral gap. There have been efforts in assessing the impacts and benefits of filtering for stationarity in temperature microstructure sampling<ref>Imberger, J. and Boashash, B., 1986. Application of the Wigner–Ville distribution to temperature gradient microstructure: A new technique to study small-scale variations. Journal of physical oceanography, 16(12), pp.1997-2012.</ref>.

An example approach for [[Acoustic-Doppler Velocimeters|velocimeters]] systematically accounting for departures from stationarity is described by Algot et al. (2017)<ref>Peterson, A.K., Fer, I., McPhee, M.G. and Randelhoff, A., 2017. Turbulent heat and momentum fluxes in the upper ocean under Arctic sea ice. Journal of Geophysical Research: Oceans, 122(2), pp.1439-1456. https://doi.org/10.1002/2016JC012283</ref> These authors compare the 15 min time-evolution of one minute long statistics (mean and root-mean-square, r.m.s.) to those calculated identically from synthetic Gaussian noise time series. Because the Gaussian synthetic time series can differ for a given realization, they repeated the calculation 1000 times and used the average value. A threshold on the difference needs to be determined from known examples.

Another issue relating to stationarity is when the mean flow changes direction throughout the segment. Such segments can be excluded by invoking directional window over the data segment. Finally, [[Interference from the instrument frame|flow disturbance]] by the mounting can induce rapidly varying spectral content.

Stationarity

2021-11-09T00:43:34Z

CraigStevens:

{{DefineConcept
|description= Stationarity refers to a constancy of statistical properties in any time (or space) series.
|article_type=Concept
|instrument_type=Velocity point-measurements, Velocity profilers, Shear probes
}}

Stationarity in the context of ocean turbulence refers to a constancy of statistical properties. The classic text on turbulence Tennekes and Lumley <ref>Tennekes, H., Lumley, J.L. and Lumley, J.L., 1972. A first course in turbulence. MIT press.</ref> makes the point that "we would like to predict transport in real flows, which generally are inhomogeneous and nonstationary". It then goes on to focus on idealised, homogeneous, stationary situations. While many advances have been made in the subsequent 50 years, it is fair to say that this big-picture limitation remains<ref>Meneveau, C. and Marusic, I., 2017. Whither Turbulence and Big Data in the 21st Century. DOI 10.1007/978-3-319-41217-7</ref>.

[[File:Stationarity Figs.png|thumb|(a) a particle moving in space and time (after Tennekes and Lumley, 1972) and (b) timeseries of velocity for stationary and non-stationary timeseries (after Kundu and Cohen 2004). ]]

From the perspective of ocean turbulence the degree of stationarity needs to quantified in order to provide an indication of the viability of spectral approaches that assume stationarity. One way this [[Quality control measures|quality control measure]] can be achieved is by varying the length of record section being examined and seeing if spectral properties vary substantially<ref>Schulz, E.W. and Sanderson, B.G., 2004. Stationarity of turbulence in light winds during the Maritime Continent Thunderstorm Experiment. Boundary-layer meteorology, 111(3), pp.523-541. https://doi.org/10.1023/B:BOUN.0000016546.42602.0a</ref>. Explicit examination of the issue in an oceanic context is not common. More attention is paid in atmospheric boundary layers<ref>Mahrt, L. and Bou-Zeid, E., 2020. Non-stationary boundary layers. Boundary-Layer Meteorology, 177(2), pp.189-204. https://doi.org/10.1007/s10546-020-00533-w</ref> where the lack of an [[Velocity inertial subrange model|inertial subrange]], or the lack of a "spectral gap" between driving processes and turbulence are considered indicators. However, the scales of processes in the ocean precludes the use of a spectral gap.

An example approach for [[Acoustic-Doppler Velocimeters|velocimeters]] systematically accounting for departures from stationarity is described by Algot et al. (2017)<ref>Peterson, A.K., Fer, I., McPhee, M.G. and Randelhoff, A., 2017. Turbulent heat and momentum fluxes in the upper ocean under Arctic sea ice. Journal of Geophysical Research: Oceans, 122(2), pp.1439-1456. https://doi.org/10.1002/2016JC012283</ref> These authors compare the 15 min time-evolution of one minute long statistics (mean and root-mean-square, r.m.s.) to those calculated identically from synthetic Gaussian noise time series. Because the Gaussian synthetic time series can differ for a given realization, they repeated the calculation 1000 times and used the average value. A threshold on the difference needs to be determined from known examples.

Another issue relating to stationarity is when the mean flow changes direction throughout the segment. Such segments can be excluded by invoking directional window over the data segment. Finally, [[Interference from the instrument frame|flow disturbance]] by the mounting can induce rapidly varying spectral content.

Stationarity

2021-11-09T00:40:47Z

CraigStevens:

{{DefineConcept
|description= Stationarity refers to a constancy of statistical properties in any time (or space) series.
|article_type=Concept
|instrument_type=Velocity point-measurements, Velocity profilers, Shear probes
}}

Stationarity in the context of ocean turbulence refers to a constancy of statistical properties. The classic text on turbulence Tennekes and Lumley <ref>Tennekes, H., Lumley, J.L. and Lumley, J.L., 1972. A first course in turbulence. MIT press.</ref> makes the point that "we would like to predict transport in real flows, which generally are inhomogeneous and nonstationary". It then goes on to focus on idealised, homogeneous, stationary situations. While many advances have been made in the subsequent 50 years, it is fair to say that this big-picture limitation remains<ref>Meneveau, C. and Marusic, I., 2017. Whither Turbulence and Big Data in the 21st Century. DOI 10.1007/978-3-319-41217-7</ref>.

[[File:Stationarity Figs.png|thumb]]

From the perspective of ocean turbulence the degree of stationarity needs to quantified in order to provide an indication of the viability of spectral approaches that assume stationarity. One way this [[Quality control measures|quality control measure]] can be achieved is by varying the length of record section being examined and seeing if spectral properties vary substantially<ref>Schulz, E.W. and Sanderson, B.G., 2004. Stationarity of turbulence in light winds during the Maritime Continent Thunderstorm Experiment. Boundary-layer meteorology, 111(3), pp.523-541. https://doi.org/10.1023/B:BOUN.0000016546.42602.0a</ref>. Explicit examination of the issue in an oceanic context is not common. More attention is paid in atmospheric boundary layers<ref>Mahrt, L. and Bou-Zeid, E., 2020. Non-stationary boundary layers. Boundary-Layer Meteorology, 177(2), pp.189-204. https://doi.org/10.1007/s10546-020-00533-w</ref> where the lack of an [[Velocity inertial subrange model|inertial subrange]], or the lack of a "spectral gap" between driving processes and turbulence are considered indicators. However, the scales of processes in the ocean precludes the use of a spectral gap.

An example approach for [[Acoustic-Doppler Velocimeters|velocimeters]] systematically accounting for departures from stationarity is described by Algot et al. (2017)<ref>Peterson, A.K., Fer, I., McPhee, M.G. and Randelhoff, A., 2017. Turbulent heat and momentum fluxes in the upper ocean under Arctic sea ice. Journal of Geophysical Research: Oceans, 122(2), pp.1439-1456. https://doi.org/10.1002/2016JC012283</ref> These authors compare the 15 min time-evolution of one minute long statistics (mean and root-mean-square, r.m.s.) to those calculated identically from synthetic Gaussian noise time series. Because the Gaussian synthetic time series can differ for a given realization, they repeated the calculation 1000 times and used the average value. A threshold on the difference needs to be determined from known examples.

Another issue relating to stationarity is when the mean flow changes direction throughout the segment. Such segments can be excluded by invoking directional window over the data segment. Finally, [[Interference from the instrument frame|flow disturbance]] by the mounting can induce rapidly varying spectral content.

Stationarity

2021-11-09T00:31:54Z

CraigStevens: made a start

{{DefineConcept
|description= Stationarity refers to a constancy of statistical properties in any time (or space) series.
|article_type=Concept
|instrument_type=Velocity point-measurements, Velocity profilers, Shear probes
}}

Stationarity in the context of ocean turbulence refers to a constancy of statistical properties. The classic text on turbulence Tennekes and Lumley <ref>Tennekes, H., Lumley, J.L. and Lumley, J.L., 1972. A first course in turbulence. MIT press.</ref> makes the point that "we would like to predict transport in real flows, which generally are inhomogeneous and nonstationary". It then goes on to focus on idealised, homogeneous, stationary situations. While many advances have been made in the subsequent 50 years, it is fair to say that this big-picture limitation remains<ref>Meneveau, C. and Marusic, I., 2017. Whither Turbulence and Big Data in the 21st Century. DOI 10.1007/978-3-319-41217-7</ref>.

[[File:Stationarity Figs.png|thumb]]

From the perspective of ocean turbulence the degree of stationarity needs to quantified in order to provide an indication of the viability of spectral approaches that assume stationarity. One way this can be achieved is by varying the length of record section being examined and seeing if spectral properties vary substantially<ref>Schulz, E.W. and Sanderson, B.G., 2004. Stationarity of turbulence in light winds during the Maritime Continent Thunderstorm Experiment. Boundary-layer meteorology, 111(3), pp.523-541. https://doi.org/10.1023/B:BOUN.0000016546.42602.0a</ref>. Explicit examination of the issue in an oceanic context is not common. More attention is paid in atmospheric boundary layers<ref>Mahrt, L. and Bou-Zeid, E., 2020. Non-stationary boundary layers. Boundary-Layer Meteorology, 177(2), pp.189-204. https://doi.org/10.1007/s10546-020-00533-w</ref> where the lack of an inertial subrange, or the lack of a "spectral gap" between driving processes and turbulence are considered indicators. However, the scales of processes in the ocean precludes the use of a spectral gap.

An example approach for velocimeters systematically accounting for departures from stationarity is described by Algot et al. (2017)<ref>Peterson, A.K., Fer, I., McPhee, M.G. and Randelhoff, A., 2017. Turbulent heat and momentum fluxes in the upper ocean under A rctic sea ice. Journal of Geophysical Research: Oceans, 122(2), pp.1439-1456. https://doi.org/10.1002/2016JC012283</ref> These authors compare the 15 min time-evolution of one minute long statistics (mean and root-mean-square, r.m.s.) to those calculated identically from synthetic Gaussian noise time series. Because the Gaussian synthetic time series can differ for a given realization, they repeated the calculation 1000 times and used the average value. A threshold on the difference needs to be determined from known examples. Another issue relating to stationarity is when the mean flow changes direction throughout the segment. Such segments can be excluded by invoking directional window over the data segment.

File:Stationarity Figs.png

2021-11-09T00:30:40Z

CraigStevens:

(a) a particle moving in space and time (after Tennekes and Lumley, 1972) and (b) timeseries of velocity for stationary and non-stationary timeseries (after Kundu and Cohen 2004).

Processing Levels for Shear Probes

2021-11-07T00:24:55Z

CraigStevens: shifted section around a bit

== Processing Levels: Shear probes ==

ATOMIX provides several benchmark datasets consisting of four processing levels.

[[Level 1 data (shear probes)|Level 1 - converted]]
: full resolution data in physical units

[[Level 2 data (shear probes)|Level 2 - QAQC]]
: full resolution cleaned and despiked parameters from level 1, subdivided in individual [[Section|sections]].

[[Level 3 data (shear probes)|Level 3 - spectra]]
: raw and cleaned spectra

[[Level 4 data (shear probes)|Level 4 - turbulence estimates]]
: dissipation estimates and corresponding quality parameter as time series

For each [[Benchmark datasets for shear probes|benchmark data set]], all four data levels are included in a single netcdf file along [[netcdf dimensions (shear probes)|standard dimensions]], and including the corresponding [[netcdf meta data (shear probes)|metadata]].

-------------------------
return to [[Shear probes]]

Processing Levels for Shear Probes

2021-11-07T00:21:51Z

CraigStevens: shifted section around a bit

== Processing Levels: Shear probes ==

ATOMIX provides several benchmark datasets consisting of four processing levels.

[[Level 1 data (shear probes)|Level 1 - converted]]
: full resolution data in physical units

[[Level 2 data (shear probes)|Level 2 - QAQC]]
: full resolution cleaned and despiked parameters from level 1, subdivided in individual [[Section|sections]].

[[Level 3 data (shear probes)|Level 3 - spectra]]
: raw and cleaned spectra

[[Level 4 data (shear probes)|Level 4 - turbulence estimates]]
: dissipation estimates and corresponding quality parameter as time series

For each benchmark data set, all four data levels are included in a single netcdf file along [[netcdf dimensions (shear probes)|standard dimensions]], and including the corresponding [[netcdf meta data (shear probes)|metadata]].

Shear probes

2021-11-07T00:21:05Z

CraigStevens: tweaked sections

== Welcome to the shear probe group! ==

The shear probe group addresses best practices in obtaining dissipation rate estimates from shear probes using a platform independent approach. Our recommendations are applicable for measurements from probes attached to e.g., conventional gravity-driven vertical profilers, gliders, AUVs or autonomous self-propelled floats.

# [[Flow chart for shear probes]]
# [[Dataset requirements for shear probes]]
# [[Processing Levels for Shear Probes]]
# [[Benchmark datasets for shear probes]]

[[Category: Shear probes]]

PacificMix

2021-11-07T00:14:19Z

CraigStevens: Created page with "This is a blank page and will ultimate be a link to the PACIFICMIX data set... (nb random made up name!)"

This is a blank page and will ultimate be a link to the PACIFICMIX data set... (nb random made up name!)

Main Page

2021-10-20T04:35:43Z

CraigStevens:

== Analysing ocean turbulence observations to quantify mixing (ATOMIX) ==
 Welcome to the wiki for [https://scor-int.org/group/analysing-ocean-turbulence-observations-to-quantify-mixing-atomix/ SCOR working group 160]

[https://landing.mailerlite.com/webforms/landing/e4j3z7 Please sign up to our mailing list!]

The wiki is work in progress for the three different subgroups:

* [[Shear probes]]
* [[Velocity profilers]]
* [[Velocity point-measurements]]

These subgroups share the same [[Nomenclature]] and NetCDF definitions.

== Turbulence Sensing Gallery ==
* [[ATOMIX Gallery]] with images illustrating various sampling configurations and instruments.

== New ATOMIX wiki users==
* [[How to use and contribute]] to these pages.
* [https://www.mediawiki.org/wiki/Help:Lists Help with creating lists]

== Getting started ==
Consult the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents User's Guide] for information on using the wiki software.

* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ]
* [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
* [https://www.mediawiki.org/wiki/Special:MyLanguage/Manual:Combating_spam Learn how to combat spam on your wiki]

ATOMIX Gallery

2021-10-20T04:24:48Z

CraigStevens:

A gallery of images. Permission is assumed a tt his stage but get in touch for changes to credits/removal etc. (or update yourself). We have rough categories but can improve and also will improve captions.

== Traditional Shear Profilers ==
<gallery>
File:MSS ADCP CTD (Schaffer).JPG| ‎ MSS, ADCP and CTD (Janin_Schaffer) |alt=alt language
File:VMP500-CookSt.JPG|VMP 500 being deployed in Cook Strait in rough weather|alt=alt language
File:VMP 2000.jpg |Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.|alt=alt language
File:UpwardsVMP250(DoubtfulSound-CLS).JPG|Upwards profiling VMP250 in Doubtful Sound (CLS).|alt=alt language
</gallery>

== Shear Profilers on Vehicles ==
<gallery>
File:RSI 1.jpg ‎| (Autosub with microrider (Rockland Scientific)) |alt=alt language
File:M Rider Glider 1.JPG ‎| Microrider mounted on Slocum glider (Algot Kristoffer Peterson) |alt=alt language
File:RSI 5 float.jpg |‎ Rockland MicroRider on profiling float (RSI). |alt=alt language
</gallery>

== Velocimeters ==
<gallery>
File:TIC Leopold 1.jpg |‎ Turbulence instrumentation cluster (Peter Leopold, 2012) |alt=alt language
File:MAVS ALG.jpg |Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson. |alt=alt language
File:NortekRope(CLS).JPG |Nortek Vector mounted on line (Stevens).|alt=alt language
</gallery>

== Acoustic Profilers ==
<gallery>
File:AdcpMTOrig.png| Nortek signature ADCP in bottom-mounted frame. |alt=alt language
</gallery>

ATOMIX Gallery

2021-10-20T04:23:28Z

CraigStevens: started an image gallery

A gallery of images. Get in touch for changes to credits/removal etc (or update yourself). We have rough categories but can improve and also will improve captions.

== Traditional Shear Profilers ==
<gallery>
File:MSS ADCP CTD (Schaffer).JPG| ‎ MSS, ADCP and CTD (Janin_Schaffer) |alt=alt language
File:VMP500-CookSt.JPG|VMP 500 being deployed in Cook Strait in rough weather|alt=alt language
File:VMP 2000.jpg |Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.|alt=alt language
File:UpwardsVMP250(DoubtfulSound-CLS).JPG|Upwards profiling VMP250 in Doubtful Sound (CLS).|alt=alt language

</gallery>

== Shear Profilers on Vehicles ==
<gallery>
File:RSI 1.jpg ‎| (Autosub with microrider (Rockland Scientific)) |alt=alt language
File:M Rider Glider 1.JPG ‎| Microrider mounted on Slocum glider (Algot Kristoffer Peterson) |alt=alt language
File:RSI 5 float.jpg |‎ Rockland MicroRider on profiling float (RSI). |alt=alt language
</gallery>

== Velocimeters ==
<gallery>
File:TIC Leopold 1.jpg |‎ Turbulence instrumentation cluster (Peter Leopold, 2012) |alt=alt language
File:MAVS ALG.jpg |Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson. |alt=alt language
File:NortekRope(CLS).JPG |Nortek Vector mounted on line (Stevens).|alt=alt language
</gallery>

== Acoustic Profilers ==
<gallery>
File:AdcpMTOrig.png| Nortek signature ADCP in bottom-mounted frame. |alt=alt language
</gallery>

ATOMIX Gallery

2021-10-20T04:12:57Z

CraigStevens:

A gallery of images. Get in touch for changes to credits/removal etc (or update yourself). We have rough categories but can improve and also will improve captions.

== Traditional Shear Profilers ==
<gallery>
File:MSS ADCP CTD (Schaffer).JPG| ‎ (MSS_ADCP_CTD_in_OceanCity_CC-BY Janin_Schaffer) |alt=alt language
File:VMP500-CookSt.JPG|VMP 500 being deployed in Cook Strait in rough weather|alt=alt language
File:VMP 2000.jpg |Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.|alt=alt language
File:UpwardsVMP250(DoubtfulSound-CLS).JPG|Upwards profiling VMP250 (CLS).|alt=alt language

</gallery>

== Shear Profilers on Vehicles ==
<gallery>
File:RSI 1.jpg ‎| (Autosub with microrider (Rockland Scientific)) |alt=alt language
File:M Rider Glider 1.JPG ‎| (Microrider on Slocum glider (Algot Kristoffer Peterson)) |alt=alt language
File:RSI 5 float.jpg |‎ Rockland MicroRider on profiling float. c/- RSI. |alt=alt language
</gallery>

== Velocimeters ==
<gallery>
File:TIC Leopold 1.jpg |‎ (Turbulence instrumentation cluster (Peter Leopold, 2012)) |alt=alt language
File:MAVS ALG.jpg | (Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson. |alt=alt language
File:NortekRope(CLS).JPG |Nortek Vector mounted on line (Stevens).|alt=alt language
</gallery>

== Acoustic Profilers ==
<gallery>
File:AdcpMTOrig.png| ‎ (Nortek signature ADCP in bottom-mounted frame.) |alt=alt language
</gallery>

ATOMIX Gallery

2021-10-20T04:09:22Z

CraigStevens:

A gallery of images. Get in touch for changes to credits/removal etc (or update yourself). We will sort into categories once we have enough.

== Traditional Shear Profilers ==
<gallery>
File:MSS ADCP CTD (Schaffer).JPG| ‎ (MSS_ADCP_CTD_in_OceanCity_CC-BY Janin_Schaffer) |alt=alt language
File:VMP500-CookSt.JPG|VMP 500 being deployed in Cook Strait in rough weather|alt=alt language
File:VMP 2000.jpg |Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.|alt=alt language
File:UpwardsVMP250(DoubtfulSound-CLS).JPG|Upwards profiling VMP250 (CLS).|alt=alt language

</gallery>

== Shear Profilers on Vehicles ==
<gallery>
File:RSI 1.jpg ‎| (Autosub with microrider (Rockland Scientific)) |alt=alt language
File:M Rider Glider 1.JPG ‎| (Microrider on Slocum glider (Algot Kristoffer Peterson)) |alt=alt language
File:RSI 5 float.jpg |‎ Rockland MicroRider on profiling float. c/- RSI. |alt=alt language
</gallery>

== Velocimeters ==
<gallery>
File:TIC Leopold 1.jpg |‎ (Turbulence instrumentation cluster (Peter Leopold, 2012)) |alt=alt language
File:MAVS ALG.jpg | (Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson. |alt=alt language
File:NortekRope(CLS).JPG |Nortek Vector mounted on line (Stevens).|alt=alt language
</gallery>

== Acoustic Profilers ==
<gallery>
File:AdcpMTOrig.png| ‎ (Nortek signature ADCP in bottom-mounted frame.) |alt=alt language
</gallery>

File:UpwardsVMP250(DoubtfulSound-CLS).JPG

2021-10-20T04:08:40Z

CraigStevens: Upwards profiling VMP250 & Rebecca McPherson in DoubtfulSound (CLS, 5 ‎September ‎2015)

== Summary ==
Upwards profiling VMP250 & Rebecca McPherson in DoubtfulSound (CLS, 5 ‎September ‎2015)

ATOMIX Gallery

2021-10-20T04:02:43Z

CraigStevens:

A gallery of images. Get in touch for changes to credits/removal etc (or update yourself). We will sort into categories once we have enough.

== Traditional Shear Profilers ==
<gallery>
File:MSS ADCP CTD (Schaffer).JPG| ‎ (MSS_ADCP_CTD_in_OceanCity_CC-BY Janin_Schaffer) |alt=alt language
File:VMP500-CookSt.JPG|VMP 500 being deployed in Cook Strait in rough weather|alt=alt language
File:VMP 2000.jpg |Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.|alt=alt language

</gallery>

== Shear Profilers on Vehicles ==
<gallery>
File:RSI 1.jpg ‎| (Autosub with microrider (Rockland Scientific)) |alt=alt language
File:M Rider Glider 1.JPG ‎| (Microrider on Slocum glider (Algot Kristoffer Peterson)) |alt=alt language
File:RSI 5 float.jpg |‎ Rockland MicroRider on profiling float. c/- RSI. |alt=alt language
</gallery>

== Velocimeters ==
<gallery>
File:TIC Leopold 1.jpg |‎ (Turbulence instrumentation cluster (Peter Leopold, 2012)) |alt=alt language
File:MAVS ALG.jpg | (Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson. |alt=alt language
File:NortekRope(CLS).JPG |Nortek Vector mounted on line (Stevens).|alt=alt language
</gallery>

== Acoustic Profilers ==
<gallery>
File:AdcpMTOrig.png| ‎ (Nortek signature ADCP in bottom-mounted frame.) |alt=alt language
</gallery>

ATOMIX Gallery

2021-10-20T03:59:35Z

CraigStevens:

A gallery of images. Get in touch for changes to credits/removal etc (or update yourself). We will sort into categories once we have enough.

<gallery>
File:RSI 5 float.jpg |‎ Rockland MicroRider on profiling float. c/- RSI. |alt=alt language
File:MSS ADCP CTD (Schaffer).JPG| ‎ (MSS_ADCP_CTD_in_OceanCity_CC-BY Janin_Schaffer) |alt=alt language
File:AdcpMTOrig.png| ‎ (Nortek signature ADCP in bottom-mounted frame.) |alt=alt language
File:MAVS ALG.jpg | (Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson. |alt=alt language
File:M Rider Glider 1.JPG ‎| (Microrider on Slocum glider (Algot Kristoffer Peterson)) |alt=alt language
File:TIC Leopold 1.jpg |‎ (Turbulence instrumentation cluster (Peter Leopold, 2012)) |alt=alt language
File:RSI 1.jpg ‎| (Autosub with microrider (Rockland Scientific)) |alt=alt language
File:VMP500-CookSt.JPG|VMP 500 being deployed in Cook Strait in rough weather|alt=alt language
File:VMP 2000.jpg |Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.|alt=alt language
File:NortekRope(CLS).JPG |Nortek Vector mounted on line (Stevens).|alt=alt language

</gallery>

File:NortekRope(CLS).JPG

2021-10-20T03:58:53Z

CraigStevens: Nortek Vector mounted on a line. (Stevens, ‎31 ‎October ‎2011).

== Summary ==
Nortek Vector mounted on a line. (Stevens, ‎31 ‎October ‎2011).

ATOMIX Gallery

2021-10-20T03:54:06Z

CraigStevens:

ATOMIX Gallery

2021-10-20T03:53:36Z

CraigStevens:

A gallery of images. Get in touch for changes to credits/removal etc. We will sort into categories once we have enough.

<gallery>
File:RSI 5 float.jpg |‎ Rockland MicroRider on profiling float. c/- RSI. |alt=alt language
File:MSS ADCP CTD (Schaffer).JPG| ‎ (MSS_ADCP_CTD_in_OceanCity_CC-BY Janin_Schaffer) |alt=alt language
File:AdcpMTOrig.png| ‎ (Nortek signature ADCP in bottom-mounted frame.) |alt=alt language
File:MAVS ALG.jpg | (Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson. |alt=alt language
File:M Rider Glider 1.JPG ‎| (Microrider on Slocum glider (Algot Kristoffer Peterson)) |alt=alt language
File:TIC Leopold 1.jpg |‎ (Turbulence instrumentation cluster (Peter Leopold, 2012)) |alt=alt language
File:RSI 1.jpg ‎| (Autosub with microrider (Rockland Scientific)) |alt=alt language
File:VMP500-CookSt.JPG|VMP 500 being deployed in Cook Strait in rough weather|alt=alt language
File:VMP 2000.jpg |Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.|alt=alt language
</gallery>

ATOMIX Gallery

2021-10-20T03:52:57Z

CraigStevens:

A gallery of images. Get in touch for changes to credits/removal etc. We will sort into categories once we have enough.

<gallery>
File:RSI 5 float.jpg ‎ Rockland MicroRider on profiling float. c/- RSI. |alt=alt language
File:MSS ADCP CTD (Schaffer).JPG ‎ (MSS_ADCP_CTD_in_OceanCity_CC-BY Janin_Schaffer) |alt=alt language
File:AdcpMTOrig.png ‎ (Nortek signature ADCP in bottom-mounted frame.) |alt=alt language
File:MAVS ALG.jpg ‎ (Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson. |alt=alt language
File:M Rider Glider 1.JPG ‎ (Microrider on Slocum glider (Algot Kristoffer Peterson)) |alt=alt language
File:TIC Leopold 1.jpg ‎ (Turbulence instrumentation cluster (Peter Leopold, 2012)) |alt=alt language
File:RSI 1.jpg ‎ (Autosub with microrider (Rockland Scientific)) |alt=alt language
File:VMP500-CookSt.JPG|VMP 500 being deployed in Cook Strait in rough weather|alt=alt language
File:VMP 2000.jpg |Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.|alt=alt language
</gallery>

ATOMIX Gallery

2021-10-20T03:51:02Z

CraigStevens:

A gallery of images. Get in touch for changes to credits/removal etc. We will sort into categories once we have enough.

<gallery>
File:VMP500-CookSt.JPG|VMP 500 being deployed in Cook Strait in rough weather|alt=alt language
File:VMP 2000.jpg |Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.|alt=alt language
</gallery>

ATOMIX Gallery

2021-10-20T03:48:36Z

CraigStevens: Created page with "A gallery of images. Get in touch for changes to credits/removal etc. We will sort into categories once we have enough."

A gallery of images. Get in touch for changes to credits/removal etc. We will sort into categories once we have enough.

File:VMP500-CookSt.JPG

2021-10-20T03:45:15Z

CraigStevens: VMP 500 being deployed in Cook Strait in rough weather. (Stevens)

== Summary ==
VMP 500 being deployed in Cook Strait in rough weather. (Stevens)

File:VMP 2000.jpg

2021-10-20T03:42:29Z

CraigStevens: Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.

== Summary ==
Rockland VMP 2000(?) - Rudi Jozef Maria Caeyers.

File:RSI 5 float.jpg

2021-10-20T03:39:47Z

CraigStevens: Rockland MicroRider on profiling float. c/- RSI.

== Summary ==
Rockland MicroRider on profiling float. c/- RSI.

File:MSS ADCP CTD (Schaffer).JPG

2021-10-20T03:36:14Z

CraigStevens: MSS_ADCP_CTD_in_OceanCity_CC-BY Janin_Schaffer

== Summary ==
MSS_ADCP_CTD_in_OceanCity_CC-BY Janin_Schaffer

File:AdcpMTOrig.png

2021-10-20T03:33:32Z

CraigStevens: Nortek signature ADCP in bottom-mounted frame.

== Summary ==
Nortek signature ADCP in bottom-mounted frame.

File:MAVS ALG.jpg

2021-10-20T03:30:22Z

CraigStevens: Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson.

== Summary ==
Deployment of MAVS4 during N-ICE test cruise. N-ICE test cruise. 82ºN; Arctic; Arctic Ocean; Sea ice; c/- Algot Kristoffer Peterson.

File:M Rider Glider 1.JPG

2021-10-20T03:26:57Z

CraigStevens: Microrider on Slocum glider (Algot Kristoffer Peterson)

== Summary ==
Microrider on Slocum glider (Algot Kristoffer Peterson)

File:TIC Leopold 1.jpg

2021-10-20T03:24:06Z

CraigStevens: Turbulence instrumentation cluster (Peter Leopold, 2012)

== Summary ==
Turbulence instrumentation cluster (Peter Leopold, 2012)

File:RSI 1.jpg

2021-10-20T03:20:59Z

CraigStevens: Autosub with microrider (Rockland Scientific)

== Summary ==
Autosub with microrider (Rockland Scientific)