the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
GEST: A multi-scale dynamics-based reconstruction of global ocean surface current
Ge Chen
Chuanchuan Cao
Xiaoyan Chen
Baoxiang Huang
Abstract. A high precision and fine resolution reconstruction of sea surface current is beneficial to the exploration of complicated ocean dynamic processes. Existing studies mainly use satellite sea level and wind stress fields to derive sea surface geostrophic and Ekman currents, and build physical inversion models for global or regional oceans. Despite the obvious success, there are a variety of typical dynamic processes in the ocean such as mesoscale eddies and small-scale waves, and any product of surface current that neglects the contribution of wave motion would be, at best, incomplete. In this context, we present a precise sea surface current product at 15 m depth named GEST (Geostrophic-Ekman-Stokes-Tide) by analyzing the coupling relationship between ocean surface components that correspond to different physical processes and the actual currents as observed by drifting buoys. The GEST was generated based on Ekman, geostrophic currents, and waved-induced Stokes drift and TPXO9 tidal currents. Specifically, in the calculation of Ekman currents, local applicability is taken into account to ensure that the friction layer of wind-driven current can reach where drifters could operate as normal. A comparison proves that combining multi-scale theory and the condition of local applicability improves estimation results by up to 3.6 cm/s compared with OSCAR product, and 0.3 cm/s with GlobCurrent. Furthermore, by comparing the reconstructed products with 1° and 0.25° resolution, we find that the higher resolution not only reveals more details of ocean currents especially mesoscale eddy energy associated with geostrophic currents, but also improves the accuracy by up to 5.62 cm/s.
Guiyu Wang et al.
Status: open (until 08 Jul 2023)
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RC1: 'Comment on essd-2023-107', Anonymous Referee #1, 25 May 2023
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Review of the paper
GEST: A multi-scale dynamics-based reconstruction of global ocean surface current
By Guiyu Wang, Ge Chen, Chuanchuan Cao, Xiaoyan Chen , and Baoxiang Huang
General Comments
This paper presents a methodology to reconstruct ocean surface currents optimally combining different components of the ocean surface circulation : geostrophic, Ekman, tidal and wave-induced currents. Scientifically this work is sound, as it aims at providing a global surface currents product which can account locally for significant processes which could be missed relying only on a single/few of the aforementioned surface circulation components. I therefore recommend this paper for publication after considering the following major and minor issues:
- Firstly, the metrics for evaluating the goodness of the data are mostly based on direct comparison with in-situ measured currents (drifting buoys), while the authors, already at the abstract level, mention the importance of both “high precision” and “fine resolution”. I think inserting additional analyses (e.g. spectral analyses based on Fast-Fourier-Transform) to evaluate the effective resolution of the GEST dataset could strengthen the manuscript (at least for the analyses presented in section 4.2);
- While reading the results, I was concerned by the statistical significance of some of them. As an example, I may provide the specific case reported in figure 14 a. The RMSEs of the different datasets under evaluation are often few tenths of cm/s apart from each other. I was wondering if it is possible to add an information on the confidence level of the different RMSE computation (e.g. via bootstrap analysis). I think it could help readers understand when the GEST RMSE value is confirming the higher accuracy compared to other available surface currents datasets:
- I struggled a bit to understand why the Authors wish to provide a dataset with 1°X1° degrees spatial resolution. It was not that clear to me for which purposes/applications it was meant for. Could the Authors please explain?
Specific Comments
- I would recommend to further clarify section 3. I honestly struggled a bit to understand that section 3 presents the building blocks of the GEST product. Inserting few lines explaining this concept would be beneficial for the paper;
- I think the introduction is lacking part of the effort that has been done to reconstruct surface currents from tracers observations. I thus encourage the authors to consider few additional literature items (e.g. Bowen et al. 2002, Gonzalez-Haro et al. 2014, Liu et al. 2017, Rio and Santoleri 2018 and references therein) and insert few lines in the introduction;
- In the manuscript, there are some images (see e.g. figs. 1,3,5) where you claim you are presenting information on 1°x1° boxes. It seems to me the information has somehow been further smoothed spatially. Could the Authors please clarify the reasons behind this choice or, at least, clarify that directly in the text?
- A doubt is still related to figure 14 a/c/d: on average, it seems that the overall RMSE of GEST and Globcurrent datasets are equivalent in the latitudinal bands 30-50N and 40-60S, In particular, it seems that GEST and Globcurrent products show alternating better performances in the 30-50N band and equivalent performances in 40-60S band. Such areas are dominated by major current systems, thus relevant for assessing the quality of a surface current product. Could the authors please try to explain further such behaviour? I think it would be useful for users, in order to understand which dataset should be used for a specific study area/application;
- Line 152-153: this sentence is unclear to me. Which dataset does not constitute a full independent validation for your reference field? Which reference field are the Authors referring to?
- Line 159: What do you mean exactly with “ Ekman layer reaches the position of the drogued drifters position of the drogue drifters”? Are you referring to the vertical position of the drogue? If so, please specify;
- Line 186: although one might guess what the Authors mean by “ocean components” I don’t think it is appropriate to mention that one can compare “ocean components and drifter observations. I’d ask the Authors to rephrase the sentence;
- Figure 6: The legend should clearly mention what the Authors mean by the blue and red curves. Also, it seems the “Attenuation of experience” and theoretical formula are not precisely mentioned in the manuscript. This makes It hard to intercompare the figure with the findings reported in the text. Could the Authors please further clarify?
- Line 203: reading the text it is not simple to understand what the Authors mean by “theoretical formula”. Is this equation 4? Please specify and, in addition, I would provide more details for the “empirical percentage method”, in order to help readers not familiar with that;
- Line 224: “Geostrophic currents act as the primary mechanism that form the ocean surface current field”. I do not think it is appropriate to mention that the Geostrophic Currents are a mechanism that generate the ocean current field. I would rather say that they are a component of the total marine currents field;
- Line 254: recalling what I mentioned in the “major comments” section. I would ask if the Authors could check whether this 0.3 cm/s RMS difference is significant or not;
- Table 1: I would ask the Authors to apply a minor change to the Table: please add the name of each sub-region, in order to help the readers locating the different sub-regions in a global map;
- Lines 266-271: would it make sense/be possible for the Authors to add a global map that emphasizes the choice of the different sub-models combinations used for the global reconstruction?
- Figure 11/Line 290: I sincerely struggled a bit in understanding the meaning of synthetic vector/optimal vector. Could the Authors please further explain or harmonize the nomenclature of the variables?
Technical Comments
- Line 78: Maybe I would say “ and the Globcurrent project products”;
- Line 108-110 (and elsewhere if necessary): Please remove the acronym CMEMS , keep Copernicus Marine Service instead;
- Line 201: “wavenumber k and wavelength ?” It seems this sentence is unfinished. Could the Authors please double check?
- Figure 9: I would add x and y axes labels as Longitude and Latitude while It is redundant to repeat RMSE (cm/s) for each of the four subfigures;
- “The OSCAR near-surface current with a grid size of 1°on a 5 days basis use the quasilinear, quasi-steady sea surface momentum equations and improve the equatorial algorithm by fitting…” should be modified as follows: “The OSCAR near-surface currents product, with a grid size of 1°on a 5 days basis, uses the quasilinear, quasi-steady sea surface momentum equations and improves the equatorial algorithm by fitting…”
References
- Bowen, M. M., Emery, W. J., Wilkin, J. L., Tildesley, P. C., Barton, I. J., & Knewtson, R. (2002). Extracting multiyear surface currents from sequential thermal imagery using the maximum cross-correlation technique.
Journal of Atmospheric and Oceanic Technology, 19(10), 1665-1676.
- González‐Haro, C., & Isern‐Fontanet, J. (2014). Global ocean current reconstruction from altimetric and microwave SST measurements. Journal of Geophysical Research: Oceans, 119(6), 3378-3391.
- Liu, J., Emery, W. J., Wu, X., Li, M., Li, C., & Zhang, L. (2017). Computing ocean surface currents from GOCI ocean color satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, 55(12), 7113-7125.
- Rio, M. H., & Santoleri, R. (2018). Improved global surface currents from the merging of altimetry and sea surface temperature data. Remote sensing of Environment, 216, 770-785
Citation: https://doi.org/10.5194/essd-2023-107-RC1
Guiyu Wang et al.
Data sets
GEST Ocean Surface Current Guiyu Wang https://doi.org/10.5281/zenodo.7767202
Guiyu Wang et al.
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