the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Catalogue of coastal-based instances with bathymetric and topographic data
Abstract. We provide a catalogue of 17 700 unique coastal-based instances distributed throughout the globe and derived from bathymetric and topographic data made publicly available by the GEneral Bathymetric Chart of the Oceans (GEBCO) as of 2022. These instances, or Digital Elevation Models (DEMs), are delivered in the form of raster grids with a 15 arc-seconds resolution and are divided equally into three libraries “A”, “B” and “C”. In a given library, the dimensions range from a minimum of 10×10 cells to a maximum of 300×300 with an incremental step of 5, i.e. 59 unique dimensions with 100 instances per dimension. In addition, for each dimension, these instances are ordered by increasing number of maritime cells and have in common the presence of a unique maritime connected component with a ratio of maritime cells lying between 25 % and 95 %, so as to cover a broad spectrum of different coastlines geometries. In this paper, we will describe in detail the procedure used for their automated generation. The resulting catalogue can be downloaded from Zenodo, a general-purpose repository operated by CERN (European Organisation for Nuclear Research) and developed under the European OpenAIRE program, at the following persistent address: https://doi.org/10.5281/zenodo.10530247 (last access: February 15th, 2024) (Thuillier et al. (2024b)). Additionally, a set of 18 colour palettes specifically designed for the visualisation of DEMs has been derived for this occasion and is available at the following address: https://doi.org/10.5281/zenodo.10530296 (last accessed: February 15th, 2024) (Thuillier et al. (2024c)). Both of these repositories come with a comprehensive documentation.
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RC1: 'Comment on essd-2024-58', Anonymous Referee #1, 03 May 2024
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This manuscript has it all. A great catalogue of coastal-based instances. Easy to easy, well organized and all concepts are explained with sufficient level of detail. I believe that the manuscript can be published in its current form.
Citation: https://doi.org/10.5194/essd-2024-58-RC1 -
RC2: 'Comment on essd-2024-58', Anonymous Referee #2, 20 May 2024
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General comments
The document is a user guide, not a regular article. It is hard to understand the authors point, as no justification is provided to justify the introduction of the catalogue. In addition, the data of the catalogue originate from GEBCO, so a natural question is why this catalogue is proposed in the first place. On page 11, we read that the instances were originally designed in the context of sonar networks, which may be a motivation for the introduction of the catalogue, but this point should be elaborated. The lack of motivation for the catalogue is the most important drawback of this document in my opinion.
Specific comments:
In the first sentence of the abstract, the author refer to "this catalogue", which is confusing and vague. The catalogue should be given a name and an identifier.
In page 4, and after in the document, the authors use the term dimension, without a definition for it. In Page 4, we read that "a given library is subdivised into 59 groups of 100 instances, each group corresponding to a single-dimension". This seems to exclude the usual definition of "dimension" that is meant in "three-dimension representation" for example.
Minor comments:
Page 4, replace "and instance correspond" with "an instance corresponds".
Page 4, the second paragraph of the introduction should be in the present tense.
Citation: https://doi.org/10.5194/essd-2024-58-RC2 -
AC1: 'Reply on RC2', Owein Thuillier, 21 May 2024
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First, we would like to thank the reviewer for his interest in this work, but we think there has been some confusion. You seem to be referring to the user's guide submitted in addition to the dataset on Zenodo. Unfortunately, this is not the article, but merely a supplement. The article itself has been posted on ESSD and provides an in-depth presentation of both the motivations and the automated algorithmic procedure used for generating these instances (as well as additional details on the origin of the data).
We hope that after reading the article, the referee will see the benefit for the community by publishing this catalogue and all related material.
Just in case, the article is available here: https://essd.copernicus.org/preprints/essd-2024-58/essd-2024-58.pdf
Citation: https://doi.org/10.5194/essd-2024-58-AC1
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AC1: 'Reply on RC2', Owein Thuillier, 21 May 2024
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