the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note: turbulence demonstrates height variations in closely spaced deep-sea mooring lines
Abstract. It may be important to precisely know heights of moored oceanographic instrumentation. For example, moorings can be closely spaced or accidentally be located on small rocks or in small gullies. Height variations O(1 m) will yield registration of different values when conditions such as small-scale density stratification vary strongly. Such little height variations may prove difficult to measure in the deep sea, requiring high-accuracy pressure sensors preferably on all instruments in a mooring-array. In this paper, an alternative method for relative height determination is presented using high-resolution temperature sensors moored on multiple densely-spaced lines in the deep Western Mediterranean. While it was anticipated that height variations between lines could be detected under near-homogeneous conditions via adiabatic lapse rate O(0.0001 °C m-1) by the 0.00003 °C-noise-level sensors, such was prevented by the impossibility of properly correcting for short-term bias due to electronic drift. Instead, a satisfactory height determination was found during a period of relatively strong stratification and large turbulence activity. By band-pass filtering data of the highest-resolved turbulent motions across the strongest temperature gradient, significant height variations were detectable to within ±0.2 m.
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RC1: 'Comment on egusphere-2026-189', Anonymous Referee #1, 26 Feb 2026
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- Abstract starts with strong suggestive and assumption based sentences. It would be much better to directly expose the problem.- Introduction is quite short. Even though this is a technical note, some background and literature might be very useful.- Experiment location can be shared on a map (Fig 1 possibly).- In the results and 3.1 Parabola model section, there is a complex definition of geometric system including different models. I believe there needs to be a sentence or small explanation as to why this complex corrections/calculations are being done.- In figure 5, the colors mentioned (cyan, magenta) hardly visible (possibly dominated by the red one)- Is there a specific reason as to pick line 53 as a reference in Fig 6? Better situated, no inclination etc.?- In figures, amount of decimals/significant figures should be common (e.g.. 8.5, 9 in Fig 7)- I would love to see a comparison (maybe difference) of two methods (Fig 6 and Fig 10) of height values.- Fig 7a is very black line dominated. Might better present with reduced line thickness maybe?- In Fig A1 the color scale of two panels differ. Are we looking similar structures?- Fig 11 prefer legend (instead of in text explanation of colors)In general the new ingenious technical methods presented opened new ways for the calculation of the vertical shift/height variations of the mooring lines. Although the applicability is quite limited (having a similar massively complex mooring system). I believe this method will shed a new light on the use of mooring lines for deep sea measurements, as well as the design of the mooring systems (e.g.. 2m apart T-sensors)ReplyCitation: https://doi.org/
10.5194/egusphere-2026-189-RC1 -
AC1: 'Reply on RC1', Hans van Haren, 04 Mar 2026
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>>>I thank the reviewer for the time to comment my manuscript. Replies are behind>>>
- Abstract starts with strong suggestive and assumption based sentences. It would be much better to directly expose the problem.
>>>First lines are removed from abstract now, as suggested.
- Introduction is quite short. Even though this is a technical note, some background and literature might be very useful.
>>>Some more text has been added to the Introduction. Actually, there is very little literature on the subject.
- Experiment location can be shared on a map (Fig 1 possibly).
>>>OK, added to figure 1 is an extra panel on the location (F1b; while old panel b is now panel c).
- In the results and 3.1 Parabola model section, there is a complex definition of geometric system including different models. I believe there needs to be a sentence or small explanation as to why this complex corrections/calculations are being done.
>>>Such a sentence is now added (around old l.105).
- In figure 5, the colors mentioned (cyan, magenta) hardly visible (possibly dominated by the red one)
>>>Agree, the plotting order is reversed now so that all are better visible.
- Is there a specific reason as to pick line 53 as a reference in Fig 6? Better situated, no inclination etc.?
>>>No, more or less arbitrary choice, from the center of the array.
- In figures, amount of decimals/significant figures should be common (e.g.. 8.5, 9 in Fig 7)
>>>That is a Matlab handle; modified manually now.
- I would love to see a comparison (maybe difference) of two methods (Fig 6 and Fig 10) of height values.
>>>In Fig. 11 data from the two centre lines of Fig. 6 are now added in magenta, for reference.
- Fig 7a is very black line dominated. Might better present with reduced line thickness maybe?
>>>The amount of blackness is due in part to the vigorous turbulence. The lines have been dotted now, to considerably remove blackness.
- In Fig A1 the color scale of two panels differ. Are we looking similar structures?
>>>No, the range was (and is) identical in the two panels, as has been better indicated now. Indeed, structures are similar, as indicated in the text.
- Fig 11 prefer legend (instead of in text explanation of colors)
>>>Fair enough, legend is given now.
In general the new ingenious technical methods presented opened new ways for the calculation of the vertical shift/height variations of the mooring lines. Although the applicability is quite limited (having a similar massively complex mooring system). I believe this method will shed a new light on the use of mooring lines for deep sea measurements, as well as the design of the mooring systems (e.g.. 2m apart T-sensors)
>>>Thank you for the appreciation.
Citation: https://doi.org/10.5194/egusphere-2026-189-AC1
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AC1: 'Reply on RC1', Hans van Haren, 04 Mar 2026
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RC2: 'Comment on egusphere-2026-189', Anonymous Referee #2, 03 Apr 2026
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MS No.: egusphere-2026-189
MS type: Technical note
Major comments :
This technical note addresses the question of how to correct vertical variations in sensor position
between closely distributed moorings with adequate instrumentation (here RBRs) in a deep-sea
environment. Though it seems to concern only very specific network of moorings, it could be useful to
other users. Therefore, I am favorable to a publication after bringing some clarifications in the
manuscript.
Detailed comments:
paragraph 3.1: Parabola model (l.121 – 139)
- The 5° starting assumption relies on a test as I understand (from fig. 3 caption). How was that test
conducted? Additional information is need in the text.
- I’m not an expert in net deformation. Parabola shape seems intuitive given that each net node support
the same tension from each top-mooring buoyancy.... but are there any references? Are blue and red
curves the only possibilities?
-What guarantees that the outer pipe remains circular?
- Is the maximum 5° parabola better consistent with the expected elongation of the steel grid? I guess
the results (° more, less) depends on the tensioning of the grid lines and the fact that the outer pipe
remains more ore less circular?
Paragraph about slanted warm episodes (l.182 – 190)
I do not necessarily see why the parallel with slanted convection. Here, we have warm water intrusion
from above in the domain of the T-sensor cube. It's not cold water from convection as mentioned at
lines 190... Does the 3D-view from the cube exhibit systematic slanted warm ‘intrusions’?
Temperature sensor spectra (l. 191-197)
It would be quite informative then to show and comment the contrast between the typical averaged
spectra when homogeneous conditions occur vs stratified conditions associated with warm water events
as in Fig. 7 & 8.
l. 199: band-pass -filter and Fig. 8
I'm a bit lost with this paragraph:
A you referring to another spectrum? I don't see any example of spectrum using a band-pass filter
applied to theta(z,t).
We just have Fig. 8 with light smoothing of spectral rays at low frequencies and heavier smoothing
between spectral rays at high frequencies (which is not what I would call a band-pass filter).
Are you pointing Fig. 8 with the buoyancy (cyan-dashed) and inertial (black-dashed) slopes?
Please add the values of the slopes on Figure 8 and in the text + add references for such slopes in the
text.
Inertial and buoyancy subranges (l. 202): need a clarification
If I try to understand the point, the author wants to contrast the high frequency behavior of
thermistances that are close to the bottom (6, 20 m) with other that are farther (40 m, 120 m).
Those farther clearly align with the inertial black dashed line (-5/3 slope?), while the closest to the
seafloor seems 'closer' to the buoyancy cyan dashed line (-1 slope?).
My interpretation is different. At high frequencies (> 100 or 1000 cpd), all spectra follows a -5/3 slope,
but for the two sensors closest to the seafloor, that slope is shifted toward higher energy levels due to
energy input around 100 cpd @ 20 m high, and around 300-900 cpd @ 6 m high. Above those
frequencies of energy input, the inertial slope fits the high frequency part of 6 and 20 m sensors. To me,
there is no real evidence of a buoyancy subrange with those spectra (Fig. 8).
l. 205: ‘ Future investigations will be directed to improve statistics ...’: agree - difficult to tell which of
inertial or buoyancy lines better fits the spectra between 10 and 100 cpd. The difference in slopes
between those subranges is too tenuous with your illustration.
l. 207: temperature variance
Please indicate how it is calculated: Is it the variance, calculated over 1.3 day in physical space, of the
600-1800 cpd-band-pass filtered temperature time series?
About the height pattern (Fig. 10 and associated text)
Results (Fig. 10 vs 6) are convincing but...
Is there an assumption behind that the temperature field, or more exactly, the temperature variance field
has to be horizontally homogeneous across your sensor network, at a given depth, to be able to convert
temperature variance differences with the reference line to height using the 45-line variance average?
If yes, you should state it and you have to comment on the realism of the homogeneity assumption,
given the fact that, warm water events are transitory and are advected across the mooring network,
which may induce heterogeneity between neighboring lines.
In the same vein, I'd be curious to see the variability of Fig. 10 using other periods of warm water
events.
l. 243 comparison with ‘... open-ocean values observed in stratified waters well away from
boundaries’
Here, it would be fair to remind the reader that your experiment was located close to the shelf break,
where the strong Liguro-Provençal current flows. This contrasts with open-ocean dynamics.
Appendix A, l. 306: Define NTC where it first appears.
l. 319: addition: Low-pass time filtering, with a cut-off frequency of 500 cpd, does not reduce these
l. 319: ‘... but additional vertical filtering adequately removes the bias (Fig. A1c,f)’. Information
missing: impossible to reproduce, not enough details. What type of 10-m-vertical filter is used (Fig.
A1-cf)?
l. 342: ‘...temperature spectra become horizontal following buoyancy-subrange scaling, rather
abruptly.’
This rather true for old, but not for new sensors. For new sensors, green and magenta evolves
consistently from 50 (first crossing) to 100 cpd (last crossing). From 100 to 300 cpd, the green remains
flat and is consistent with a buoyancy subrange typical slope. Above 300 cpd, the slope gradually
increases towards a white noise slope (+1 on this scaled loglog plot).
l. 344: ‘... was no longer dominant at frequencies higher than that of the crossing, more so in Fig. A2a
than in Fig. A2b.’
I just wrote the opposite! A2a (new sensors) remains consistent with buoyancy subrange after crossing!
('more so' refers to no longer dominant after crossing)Citation: https://doi.org/10.5194/egusphere-2026-189-RC2
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