the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Enhanced resolution capability of SWOT sea surface height measurements and its application in monitoring ocean dynamics variability
Abstract. The wavenumber spectrum of sea surface height along ground profiles is commonly determined to quantify the magnitude of detectable ocean dynamic features by altimetry missions. In this paper, wavenumber spectral were calculated and compared for HY2B, Saral/AltiKa, Sentinel-3A, and SWOT. The wavenumber power spectral density(PSD) of sea surface height (SSH) was averaged using weighted methods across multiple along tracks within defined boxes. The deduced resolution capabilities were also compared and analyzed, evaluated using the relevant definition of one-dimensional mesoscale resolution capability. We verified that the latest wide-swath SWOT mission offers significantly improved measurements. For example, in the vicinity of Kuroshio, the one-dimensional mesoscale resolution of SWOT is about 25 kilometers, twice the resolution capability of conventional satellites. In addition, the quality of measurements declined obviously over regions where the eddy kinetic energy gets larger. Finally, a global analysis of ocean dynamics variability scales was conducted based on two cycles of SWOT data using reciprocal power spectral analysis. The results showed significant geographic and temporal variations in the ocean dynamics variability scales, which are mainly relative to sea state variability. The regions with large scales of ocean dynamics variability are concentrated in oceans with strong currents and unstable sea states, such as the Kuroshio Current, the Gulf Stream, and the Antarctic Circumpolar Current. In addition, the scale of ocean dynamics variability is not necessarily large where eddy kinetic energy is large, such as the equator and the northwest Indian Ocean current area. Ocean dynamics variability also varies across seasons.
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Status: open (until 06 Feb 2025)
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RC1: 'Comment on egusphere-2024-3005', Anonymous Referee #1, 02 Nov 2024
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The article employs wavenumber spectral analysis to conduct experiments and introduces a novel method for global data statistics. It compares data derived from four distinct satellite types, thereby highlighting the advantages of the SWOT satellites. Additionally, the authors analyze global ocean-scale changes by defining a new parameter and utilizing SWOT satellite data. While the proposed methodology and the new parameter are intriguing, they require further clarification and validation. The English writing should be further polished. I recommend that this manuscript be considered for publication, contingent upon addressing the following modifications.
- The paper does not sufficiently demonstrate the significant advantages of the authors' improvements to the algorithm compared to existing methods. To better emphasize the necessity and effectiveness of the proposed enhancements, it is recommended that a comparison with the traditional averaging method be included.
- The averaging method presented in Appendix A employs distance-weighted averaging across a range of orbital data. However, it is crucial to assess whether this method is scientifically sound. I request a detailed explanation supported by appropriate examples and a discussion of the statistical weight distribution involved in this approach.
- Footprints of SWOT, HY2B, Sara and S3A are different. The resolutions of SSHs for these 4 missions are also different. How about the effects of different resolutions on the results?
- line 55: Xu Y et al. -> Xu et al.
- line 68: Vergara O et al. -> Vergara et al.
- section 2.1: Time spans for different satellite altimetry missions are different.
- line 103: What is an uncorrected data product?
- line 104: What is an uncorrected data product?
- line 105: What is an uncorrected data product?
- line 106: What is an full corrected data product?
- line 113: What about the frequency of SSHs used? 40Hz or 20Hz?
- line 128: The sentence may repeat.
- line 131: What is the nadir-stellar point?
- line 140: along-orbit SSH -> along-track SSH.
- line 154: What is the SSH anomalous wavenumber power spectral density?
- Line 165: What are these three parameters in detail?
17: fig. 2: How to define and determine the slop? This is not global.
18: fig. 3: This is not global.
19: fig. 4: This is not global.
- fig. 5: This is not global. In line 275, the colorbar units in Figure 5c are absent. Please ensure that the units are indicated for clarity and proper interpretation of the data.
- Section 4 introduces a new parameter; however, the experiments are conducted exclusively using data from the SWOT 21-day repeat cycles. Is it feasible to conduct experiments using data from the SWOT one-day repetition cycles for specific locations? This approach would more effectively illustrate SWOT's contributions to understanding ocean sub-mesoscale dynamics.
- How to show the dynamic mechanism?
- fig.6: This is not global.
- The reference cited at the end of line 72 is incorrect, and the reference formatting at the end of line 55 is inconsistent. Please review the reference formatting throughout the manuscript to ensure uniformity.
Citation: https://doi.org/10.5194/egusphere-2024-3005-RC1 -
AC1: 'Reply on RC1', Yong Wang, 03 Jan 2025
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Dear reviewer:
The author's team would like to thank you for reviewing the paper and providing useful feedback and suggestions. We have carefully read and responded to your comments. Your comments are in black font, our explanatory response is in blue font, and the corresponding revision in the manuscript is in red font.
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RC2: 'Reply on AC1', Anonymous Referee #1, 06 Jan 2025
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The authors have addressed all comments and proposals.
Citation: https://doi.org/10.5194/egusphere-2024-3005-RC2
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RC2: 'Reply on AC1', Anonymous Referee #1, 06 Jan 2025
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