the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Lagrangian surface drifter observations in the North Sea: An overview on high resolution tidal dynamics and submesoscale surface currents
Thomas H. Badewien
Oliver Wurl
Jens Meyerjürgens
Abstract. A dataset of 85 Lagrangian surface drifter trajectories covering the central North Sea area and the Skagerrak from 2017–2021 of 17 deployments is presented. The data have been quality controlled, uniformly structured and assimilated in a standard NetCDF format. Using appropriate methods presented in detail here, surface currents were calculated from the drifter position data and gridded surface current maps with 0.125° spatial resolution were derived. The maps present for the first time mean currents of the south-eastern North Sea and the Skagerrak from Lagrangian observations. Tidal energy spectra were analyzed separately for the southern and northern areas of the North Sea, and tidal ellipses were calculated to determine the tidal impact on surface currents. Significant differences between the shallow shelf and the deeper areas of the North Sea are evident. While the shallow nearshore areas are dominated by tidal currents, deeper areas such as the Skagerrak register a high mean residual circulation driven by high density gradients.
Measurements using Eulerian approaches and remote sensing methods are restricted in temporal and spatial coverage, in particular, to capture submesoscale dynamics. For this reason, Lagrangian measurements, to a large extent, provide new insights in the complex submesoscale dynamics of the North Sea. Exemplarily, the Skagerrak region is used to illustrate the ability of reconstructing mesoscale and submesoscale current patterns using drifter observations.
This unique dataset covering the entire south-eastern North Sea and the Skagerrak offers further analysis possibilities and can be used for the investigation of various hydrodynamic and environmental issues, e.g., the analysis of submesoscale current dynamics at ocean fronts, the determination of the kinetic eddy energy and the propagation of pollutants in the North Sea.
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Lisa Deyle et al.
Status: open (until 09 Dec 2023)
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RC1: 'Comment on essd-2023-359', Anonymous Referee #1, 10 Nov 2023
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General Comments:
The study analyzes 85 Lagrangian surface drifter trajectories available for the eastern-central North Sea and the Skagerrak. The drifters were released during 17 deployment campaigns, and cover the period from 2017 to 2021; they are uniformly structured in standard NetCDF format.
First, tidal energy spectra and tidal ellipses are derived, demonstrating significant differences between the shallow areas of the eastern North Sea and the Skagerrak. Second, the data are employed to derive gridded surface current distributions in a Eulerian framework.
Altogether, the paper is written in a clear and concise manner. Also, the English language is used appropriately. Moreover, the surface drifter data are definitely worth to be published, since the provide a complementary view of the ocean surface circulation, when compared with data from mooring stations or from model simulations.
However, at present the paper shows a severe weakness, which should be accounted for, before it is suitable for publication in ESSD.
The benefit of the gridded data is extremely questionable. Hence, its calculation and presentation make no sense, and therefore, it should be removed from the manuscript. There are three major reasons for this criticism:
1) Mesoscale dynamics occur in a spatio-temporal space, and hence, a temporal average over several months or even years, as done in this study, smooths out most of the mesoscale-structures. Looking at the 15 km resolution gridded data in Figure 8, this problem becomes evident. In fact, only the very coarse cyclonic Skagerrak Gyre circulation is visible. This averaging problem becomes even more obvious, when looking at the finer resolution results. It is apparent, that the 7.5 km, 5 km, and 3 km resolution results do not provide any significant additional information. When looking at the higher resolution results, only the impact of the interpolation scheme can be observed.
2) The argument that compared to model simulations, these gridded data with a 0.125 degrees resolution can provide an improved understanding with respect to the mesoscale dynamics in the North Sea is not acceptable. First, the severe problem mentioned above regarding the temporal averaging of different mesoscale patterns does not occur in model simulations. If required, models do provide results with a temporal resolution even on the subtidal timescale. Moreover nowadays, the spatial resolution of most North Sea models is of the order of 3 km (see e.g. Paetsch et al., 2017), which is nearly one order of magnitude better than the standard resolution of the gridded data, which are presented in this study.
3) When converting Lagrangian data to a Eulerian framework you always face the theoretical problem, of how to deal with the Stokes drift, which is inherently included when averaging Lagrangian data over the wind wave scale and/or the tidal scale; both is actually done in the current study. Hence, a discussion about the treatment of the Stokes Drift, when converting drifter data to a Eulerian gird, is definitely necessary. However, at present, this issue has been totally ignored by the authors.
Having in mind these severe problems mentioned above, it is clear that all aspects related to the gridding of the drifter trajectories must be deleted in the manuscript. In contrast, the authors should focus on the real advantages of their very attractive drifter data set. Firstly, the data are an excellent source for model validation. Single drifter trajectories are ideal subjects to be compared with model tracer trajectories in a one-to-one comparison study, using the same starting point and the same time period in retrospective tracer simulations. Secondly, drifter data can nicely be used to derive dispersion properties, as for example performed in Ricker et al. (2022). Since, ideally in hydrodynamical simulations the dispersion rate has to be calibrated for each specific model area, this kind of independent dispersion information can be very helpful for numerous model investigations.Citation: https://doi.org/10.5194/essd-2023-359-RC1
Lisa Deyle et al.
Lisa Deyle et al.
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