Articles | Volume 21, issue 6
https://doi.org/10.5194/os-21-2829-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Estimating oceanic physics-driven vertical velocities in a wind-influenced coastal environment
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- Final revised paper (published on 11 Nov 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 08 Jul 2025)
- Supplement to the preprint
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Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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CC1: 'Comment on egusphere-2025-2757', Bruno Blanke, 01 Aug 2025
- AC3: 'Reply on CC1', Maxime Arnaud, 30 Sep 2025
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RC1: 'Comment on egusphere-2025-2757', Diego Cortés-Morales, 01 Sep 2025
- AC1: 'Reply on RC1', Maxime Arnaud, 30 Sep 2025
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RC2: 'Comment on egusphere-2025-2757', Anonymous Referee #2, 02 Sep 2025
- AC2: 'Reply on RC2', Maxime Arnaud, 30 Sep 2025
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AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Maxime Arnaud on behalf of the Authors (01 Oct 2025)
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ED: Publish subject to technical corrections (07 Oct 2025) by Denise Fernandez
AR by Maxime Arnaud on behalf of the Authors (15 Oct 2025)
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This study is about vertical ocean velocities in the Gulf of Lion (NW Mediterranean Sea) using data from a moored ADCP, a vertical velocity profiler, and a free-fall ADCP. It characterizes upwelling and downwelling events associated with wind forcing and introduces a method to filter out biology-induced signals (notably diel vertical migrations). The analysis combines in situ and satellite data with model outputs.
Key contributions include:
(i) Methodological work: The authors combine three different measurement techniques (JULIO ADCP, FF-ADCP, and VVP) and introduce an innovative approach using echo intensity to separate biological noise from physical signals. This demonstrates that bottom-mounted ADCPs can provide reliable vertical velocity measurements, but only when biological activity in the water column is properly accounted for.
(ii) Scientific results: Measuring vertical velocities in the ocean is notoriously difficult, yet these motions are crucial for understanding ocean dynamics. The authors document vertical velocities for upwelling and downwelling events that transport water several hundred meters per day on average. This has real consequences for how nutrients and other biogeochemical tracers get transported throughout the ocean.
(iii) Thorough validation: Over a decade of data is cross-validated against satellite observations and model outputs. The study demonstrates that multiple types of measurements (acoustic, satellite, and meteorological) are necessary to understand the processes that occur in this coastal system.
This paper represents a valuable contribution to coastal oceanography, both for its methodological innovations and physical insights, and deserves publication after addressing some issues.
The abstract should better highlight the key findings above and their broader implications.
Issues:
Interpretation of the biological signal: The study attributes recurring nighttime negative vertical velocities to biological processes but immediately dismisses diel vertical migration (DVM) because only descending motion is observed. Alternative biological explanations could be explored, such as asymmetric DVM behavior, sinking dead biomass, or ADCP backscatter bias due to the geometry of biological material. Could the authors present additional biological data (collected during patch events) to validate the assumption of a biological origin?
Methodological choices: The 15 m depth × 4 h time window is based on an open-ocean study in the Scotia Sea. Should this choice be more carefully validated for coastal studies such as those in the Gulf of Lion? How might the bin size affect the detection of vertical velocity structures, particularly near the seabed or near the surface? Similarly, how do wind curl and coastal geometry influence Ekman transport at this specific site compared to open-ocean conditions?
Measurement uncertainty: The claimed minimum resolvable vertical velocity approaches many measured values, which requires rigorous quantification of standard deviations and biases for each method, particularly the JULIO ADCP. The study partially addresses this issue but lacks discussion of biologically active layers and systematic error propagation assessment. For instance, wind measurements contain uncertainties (instrument precision, space and time sampling limitations)… that can project onto vertical velocity estimates.
Statistical rigor: The 15 m/s wind intensity threshold requires statistical or bibliographic justification. How sensitive are the results to this threshold? Can its validity be statistically tested? More generally, several conclusions rely on visual interpretation (wind-vertical velocity alignment, SST drops, SLA peaks) rather than on quantitative correlation or thorough analysis. Could the authors strengthen some of their interpretations for added robustness in their results?
Event selection and generalizability: Were other upwelling/downwelling events identified by other methods and excluded from this analysis? If so, what criteria disqualified them? How generalizable are the documented characteristics (duration, depth extent, SST signatures) to other Mediterranean coastal systems? The conclusion could acknowledge that localized JULIO observations may not represent basin-scale processes and discuss the applicability of their method across the Gulf of Lion.
The manuscript is readable and informative, but some syntax, grammar, and phrasing issues reduce its clarity. A careful proofreading of the manuscript should eliminate the most glaring errors, including the following:
Line 1: challenge of measuring
Lines 7 and 139: three-dimensional
Line 15: most ocean dynamic processes
Line 16: one of the most complex aspects
Line 16: usually of several orders
Line 41: including in situ observations
Line 75: These forcings and their impact on the oceanic circulation have been studied
Line 135: offshore of Marseille on the border of the Gulf of Lion shelf
Line 146: with the initial purpose of measuring
Line 152: thickness of the blanking
Line 156: than that calculated
Line 160: between 6 a.m. and 6 p.m.
Line 173: to a 30 s temporal resolution
Line 175: from 78.9 to 3 m.
Line 262: filtered out from the W dataset,
Line 391: this work shows
Line 397: “SUCH measurements” (unclear reference)