Preprints
https://doi.org/10.5194/essd-2026-317
https://doi.org/10.5194/essd-2026-317
08 May 2026
 | 08 May 2026
Status: this preprint is currently under review for the journal ESSD.

The first regional‑scale multibeam echosounder bathymetric dataset of the Saudi Arabian Red Sea

Fabio Marchese, Marta Andrea Ezeta Watts, Megan Klein Breteler Nolan, Natalie Dunn, Katherine von Krusenstiern, Craig Foy, Mattie Rodrigue, Mohammed Qurban, Carlos Manuel Duarte, Vincent Pieribone, and Francesca Benzoni

Abstract. High-resolution bathymetry is a critical resource for marine research, underpinning seafloor characterisation, benthic habitat mapping, geomorphological analyses, and marine spatial planning. In the Red Sea, however, publicly accessible high-resolution bathymetric data remain extremely limited along the eastern margin. Existing regional products such as the General Bathymetric Chart of the Oceans (GEBCO) provide only coarse resolution coverage, and detailed surveys have historically been concentrated along the central axis rather than the Saudi Arabian shelf and slope. Here, we present a high-resolution bathymetric dataset acquired during the 2022 Red Sea Decade Expedition (RSDE) along the Saudi Arabian margin of the Red Sea. Multibeam echosounder surveys span approximately 860 km of coastline and extend from shallow coastal waters to deep-sea environments, covering depths from ~2 m to >2,460 m. Data were acquired using multiple platforms and processed through a standardised workflow to produce a unified digital bathymetric model. Grid resolutions are 5 m for the shallow-water data and 40 m for the deep-water data, covering a total of 49,418.7 km² of seafloor. This dataset provides unprecedented spatial coverage of the eastern Red Sea seafloor and represents a key resource for marine sciences and marine spatial planning in a region where available detailed bathymetry has historically been limited.

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Fabio Marchese, Marta Andrea Ezeta Watts, Megan Klein Breteler Nolan, Natalie Dunn, Katherine von Krusenstiern, Craig Foy, Mattie Rodrigue, Mohammed Qurban, Carlos Manuel Duarte, Vincent Pieribone, and Francesca Benzoni

Status: open (until 14 Jun 2026)

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Fabio Marchese, Marta Andrea Ezeta Watts, Megan Klein Breteler Nolan, Natalie Dunn, Katherine von Krusenstiern, Craig Foy, Mattie Rodrigue, Mohammed Qurban, Carlos Manuel Duarte, Vincent Pieribone, and Francesca Benzoni

Data sets

The high‑resolution bathymetric dataset of the Saudi Arabian Red Sea margin from the 2022 Red Sea Decade Expedition (1.0) F. Marchese et al. https://doi.org/10.5281/zenodo.19065211

Fabio Marchese, Marta Andrea Ezeta Watts, Megan Klein Breteler Nolan, Natalie Dunn, Katherine von Krusenstiern, Craig Foy, Mattie Rodrigue, Mohammed Qurban, Carlos Manuel Duarte, Vincent Pieribone, and Francesca Benzoni
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Latest update: 08 May 2026
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Short summary
The Saudi Arabian Red Sea has historically lacked detailed seafloor mapping, with existing data either limited to the central axial rift or too coarse for ecological and oceanographic research. In 2022, a five-month expedition surveyed over 49,000 square kilometres of seabed using multibeam echosounder systems at 5 and 40 metres resolution. This dataset will support habitat mapping, deep-sea research, and future scientific investigations in the Red Sea.
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