Eddy Kinetic Energy (EKE) is a widely used metric for ocean currents variability, enabling to monitor them using remote-sensing, particularly through altimetry since 1993. Some earlier studies reported increasing trends in EKE worldwide, which was not yet extensively studied in the Mediterranean Sea. The authors explored the sensibility to the increasing number of altimetric satellites. Section 3.2 explores the differences between all-sat and two-sat Level 4 products ; section 3.3 asserts the results by comparison with along-tracks Level 3 data ; section 4 provides an insight of the statistics using the META eddy atlas.

The method provides an insight to altimetry products biases, often curtailed in many mesoscale studies. The results are quite interesting as they show the number of satellites drives a strong bias on observed long-term trends, in EKE but also potentially on individual eddy detections. They showed that while an EKE trend might appear over the Mediterranean Sea in all-sat product, this is actually not significant using two-sat timeseries. Figure 5 in particular is very interesting - and might be further highlighted - as a mapped sensitivity of satellite sampling.

Section 3,4 using META eddy detections is interesting as it asserts the previous results with eddies statistics. It seems however to stay under-used, as it introduces a totally different dataset for 15 lines of development. I recommend extending this section to illustrates other regions and stregnthen the robustness of the statistics, and also make distinction between cyclones and anticyclone (not possible using EKE only).

A major concern arises about the regions of application, as the study focuses on 2 limited energetic regions to assess its results. These areas (Alboran & Ierapetra) are known to be energetic because of the presence of a single (or two) recurrent mesoscale structures. In the particular case of Ierapetra the reported results seem to be a shift of the structure.

Major comment :

• Adding an application of the method to larger areas where mesoscale structures are more numerous and behavior more chaotic should be more significant. Such areas in the Mediterranean Sea could be for instance the Algerian Basin or the Central Ionian Jet. Also increase the area of the Ierapetra focus, for instance by a Levantine Basin-wide focus.

Additional comments :

• l.29 ‘A widely used metric […] is the EKE’ : Here it would be helpful to make reference to previous well-known studies to better introduce EKE. For example, Wilkin & Morrow (JGR,1994), Stammer (JPO,1997) or Ferrari & Wunsch (2009).
• l.40-50 (but also l.309) : when introducing the Mediterranean Sea, remind that the Rossby deformation radius is much smaller in this area, ranging between 20 and 10km. This area is not well described in Chelton et al (1998), but one can also refer to Kurkin et al (https://doi.org/10.2205/2020ES000737, 2020)
• Fig.1 : add isolines of EKE to better reflect gradients
• l.140 : ‘A focus on the Eastern Alboran gyre’ : not shown
• l.147 : For the Ierapetra region : Can you add a description of your region boundary ? It sounds quite small, and therefore may be quite sensitive to shift in boundaries. A more objective box might be drawn taking an EKE-isoline as boundary
• l.156 (and after Table.1, l.193) : The ‘area-weighted mean’ was never defined
• l.164 : can you add this fitted polynomial to the plot  ? If Correlation coeff is so high (0,85), why not using a linear fit instead, as number of satellite is already roughly linear ?
• l.171 : The case of the Alboran sea (high EKE but high sensibility) can be a counter-example. Isn’t it rather almost land-locked areas that are more sensitive ? (Alboran, Adriatic, Levantine basin?)
• l.188 : about reversal of Ionian Sea circulation, reference about BIOS  : Gacic et al (2010)
• Table1 : Not clear what are defined as ‘Mean of all trends’ and ‘Trend of the mean’.
• l.234 : ‘ability to detect smaller scales features’ This can be asserted by references such as Amores et al (2018) or Stegner et al (2021).
• Section3.4 : as described earlier, this subsection is quite interesting but deserves to be investigated further and applied to other regions. A distinction between cyclone and anticyclone should also be made, at least in figure 8. Actually, it sounds surprising that region with cyclonic activity (e.g. South-West Cretean gyre, Rhodes gyre) do not exhibit more sensitivity to increasing number of satellite (in your Fig.5), as they tend be smaller (see observing system experiment in Stegner et al 2021). Do you think EKE trends are rather driven by anticyclone increasing rotating speed over time, as it might be the case for the Alboran gyres ?
• Section 4.4 : you can add some discussion also about decennal cycles in the Ionian Sea, where reversal of the regional circulation are expected to have some effects on the EKE of the Midde Mediterranean Jet.
• l.275-276 : This behavior could be checked using the META atlas

Satellite altimetry products from 1993 to 2023 are assessed to quantify the temporal evolution of surface geostrophic current variability in the Mediterranean Sea. In particular, trends in Eddy Kinetic Energy (EKE) are estimated using three gridded altimetric products. Along-track datasets and an eddy atlas are also employed for comparison in selected regions. Significant positive and negative EKE trends are identified in the most energetic areas of the basin. The influence of the increasing number of satellites on the observed EKE rise is evaluated. Products based on a constant two-satellite configuration appear adequate for estimating long-term trends, but they fail to capture important dynamical structures in some regions. Therefore, the use of constant three-satellite altimetry products is recommended for future investigations of EKE variability in the Mediterranean Sea.

The paper is well structured, and the English is generally fluent and clear. The figures effectively support the written statements. I recommend the publication of this manuscript in Ocean Science, after the authors address the following specific comments (minor revision).

Specific comments:

L43 and L45. Change “waters” to “water”.

L45. Remove “and freshwater”.

L47. Add the following reference before Escudier et al. : Poulain, P. M., Menna, M., & Mauri, E. (2012). Surface geostrophic circulation of the Mediterranean Sea derived from drifter and satellite altimeter data. Journal of Physical Oceanography, 42(6), 973-990. Add this reference in the reference list.

L76. Provide mode details on the Eddy Atlas. Is it based on ADT or SLA structures?

Caption of Fig. 3., L156 and L193. Change “Area-weighted mean” to “Area-averaged”.

Caption of Fig. 6. Change to “Gray-hatched”.

Table 1. Define “Trend of the mean”.

Caption of Fig. 7. Add info about the L3-ref and all-sat-glo curves.

L216. Change “horizontal velocities and their variability are” to “geostrophic velocity variability is”.

L274. Change “However, some go south-east” to “However, some move south-east”.

L306. Change “applications as the two-sat product” to “applications such as the two-sat product”.