Bathymetry Refinement over Seamount Regions from SAR Altimetric Gravity Data through a Kalman Fusion Method
Round 1
Reviewer 1 Report
The work is interesting considering the difficulty of data fusion in the traditional filtering method. The authors' introduction of the Kalman fusion method to combine gravitational bathymetric data with other data will allow the development of more accurate bathymetric models. The topography of the seabed is complex and knowledge of it plays an important role in monitoring, for example, ocean currents. The shape of the bottom affects the circulation of water and the climate. Detailed knowledge of the shape of the seabed can help to minimize the effects of various threats.
1) A large discrepancy of the GEBCO_2022 model (34.34 m) was observed, were other GEBCO models tested? As a reference in the further part of the work, it was this model that was adopted.
2) The experimental part of the paper lacks discussion from chapter 2.3 Estimation of error of bathymetry data.
3) The title suggests that the authors focus on analyzing SAR (from SAR altimetric gravity data), while the authors also study other models.
4) Please pay attention to punctuation (dots, spaces, etc.)
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Author Response
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Reviewer 2 Report
This manuscript is suitable for publication and please check any error or mistakes.
Author Response
First of all, we would like to give our sincerest thanks to the reviewers for the beneficial suggestions and comments, and we deeply appreciate your contributions, which help us in correcting and improving the manuscript. Our responses are listed as follows by using the red fonts. If there are still unclear or incorrect parts, the authors are very willing to make further corrections and improvements based on the reviewer’s comments. Thanks again for your contributions.
Reviewer 2
This manuscript is suitable for publication and please check any error or mistakes.
Response: Thanks to the reviewer for the comments, the author has carefully adjusted the structure of the entire article and corrected all the grammar errors and bad language usages to improve its English level, please refer to the revised manuscript.
Author Response File: Author Response.docx
Reviewer 3 Report
Remarkably interesting paper, it effectively shows the possibilities of integrating gravimetric data with satellite altimetric radar (SAR) data using the Kalman fusion method. The results of the improvement of the definition of the bathymetric data compared to the generic global bathymetry model GEBCO 2022 appear sufficiently robust, however the work could be improved through:
• Insertion of a figure of geographical overview of the test area
• A paragraph with a relative figure with an adequate geodynamic overview of the important area west of Sjubre Bank and north of Molloy Fracture, a mid-ocean trench active in the Arctic Ocean
• Use as bathymetric data from oceanographic vessel also the Multibeam (MBES) data that are present in the literature and if possible present at least a part of the sea mounth - oceanic trench system.
· Moderate the emphasis in conclusions regarding the usability of bathymetric processing at very low resolution for geophysical surveys with operational purposes
Author Response
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