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Comparison of Publicly Available Bathymetric Data with Real Measurements in the Southeastern Black Sea

Year 2023, Volume: 10 Issue: 3, 48 - 52, 30.09.2023
https://doi.org/10.30897/ijegeo.1325607

Abstract

Being able to access accurate and reliable depth information has uncountable benefits for not only fields of oceanography, geophysics, geology, natural resources but also navigation & logistics. There is an ever-increasing demand for high-resolution bathymetric data for those fields since only a small portion of the world seas and oceans have been explored, observed, and charted so far. There are some sources which provide publicly available global bathymetric data to its stakeholders and users such as widely used European Marine Observation and Data Network (EMODnet) and General Bathymetric Chart of the Oceans (GEBCO). In general, it is challenging for researchers to select the best fit for their studies among available datasets, due to the fact that their sole reliability is not well-assessed. The purpose of our study, thus, is to compare those publicly available bathymetric data with field measurements obtained from the surveys carried out by the Office of Navigation, Hydrography and Oceanography for an area of interest in the southeastern Black Sea comprising various characteristics as to the bottom topography (i.e. homogeneous elevation, steep slope, mild slope, etc.). Validation is conducted focusing on these distinct features by means of visual assessment and quantitative comparison. Results reveal that, even though there is an overall agreement, local discrepancies are also present. Nonetheless, GEBCO and EMODnet datasets are proved to be great assets for any hydrospatial application that does not necessarily require high spatial resolution.

Thanks

The authors are grateful to ONHO in providing the bathymetric data for scientific studies. This paper would not have been possible without the publicly available depth information of the EMODnet and GEBCO communities.

References

  • EMODnet Bathymetry Consortium. (2020). EMODnet Digital Bathymetry (DTM 2020)
  • Glenn, M. F. (1970). Introducing an operational multi-beam array sonar. Int. Hydrogr. Rev. 47:35.
  • GEBCO Compilation Group (2023) GEBCO 2023 Grid
  • Hell, B., Jakobsson, M. (2011). Gridding heterogeneous bathymetric data sets with stacked continuous curvature splines in tension. Marine Geophysical Research, 32(4), 493-501.
  • Marks, K. M., Smith, W. H. F. (2006). An Evaluation of Publicly Available Global Bathymetry Grids. Marine Geophysical Researches, 27(1), 19-34.
  • Masetti, G., Kelley, J. G. W., Johnson, P., and Beaudoin, J. (2018). A Ray-Tracing Uncertainty Estimation Tool For Ocean Mapping. IEEE Access 6, 2136–2144. doi: 10.1109/ACCESS.2017.2781801
  • Masetti, G., Smith, M.J., Mayer, L.A.,Kelley, J.G.W.(2020). Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping. Front. Mar. Sci. 6:804. doi: 10.3389/fmars.2019.00804
  • Mayer, L. A. (2014). Ocean mapping. J. Ocean Technol. 9, 13–18
  • Sandwell, D.T., Gille, S.T., Smith, W.H.F. (2002). Bathymetry from Space: Oceanography, Geophysics, and Climate, Geoscience Professional Services, Bethesda, Maryland, 24 pp.
  • Schaap, D.M.A. (2015). EMODnet Bathymetry – Building and Providing a High Resolution Digital Bathymetry for European Seas. Geophysical Research Abstracts, vol. 17, EGU2015-6071
  • UNESCO-IOC (2021). The United Nations Decade of Ocean Science for Sustainable Development (2021-2030) Implementation Plan Vol. 20 (Paris: UNESCO).
  • UNESCO Ocean Programmes. (2022). Foreword by Director-General Audrey Azoulay, France,
  • Van Doornik, M. (2016). Comparison, harmonization and integration of bathymetric datasets from multiple sources, MSc thesis, Wageningen University and Research Centre.
  • Vrdoljak, L. (2021). Comparison and analysis of publicly available bathymetry models in the East Adriatic Sea. Naše more. Vol.68-2:110-119. DOI: 10.17818/nm/2021/2.7
  • Ward, R. (2010). General Bathymetric Charts of the Ocean. Hydro International, Geomares Publishing.
  • Wölfl, A.-C., Snaith, H., Amirebrahimi, S., Devey, C.W., Dorschel, B., Ferrini, V., Huvenne, V.A.I., Jakobsson, M., Jencks, J., Johnston, G., Lamarche, G., Mayer, L., Millar, D., Pedersen, T.H., Picard, K., Reitz, A., Schmitt, T., Visbeck, M., Weatherall, P., Wigley, R. (2019). Seafloor Mapping – The Challenge of a Truly Global Ocean Bathymetry. Front. Mar. Sci. 6:283.doi:10.3389/fmars.2019.00283
Year 2023, Volume: 10 Issue: 3, 48 - 52, 30.09.2023
https://doi.org/10.30897/ijegeo.1325607

Abstract

References

  • EMODnet Bathymetry Consortium. (2020). EMODnet Digital Bathymetry (DTM 2020)
  • Glenn, M. F. (1970). Introducing an operational multi-beam array sonar. Int. Hydrogr. Rev. 47:35.
  • GEBCO Compilation Group (2023) GEBCO 2023 Grid
  • Hell, B., Jakobsson, M. (2011). Gridding heterogeneous bathymetric data sets with stacked continuous curvature splines in tension. Marine Geophysical Research, 32(4), 493-501.
  • Marks, K. M., Smith, W. H. F. (2006). An Evaluation of Publicly Available Global Bathymetry Grids. Marine Geophysical Researches, 27(1), 19-34.
  • Masetti, G., Kelley, J. G. W., Johnson, P., and Beaudoin, J. (2018). A Ray-Tracing Uncertainty Estimation Tool For Ocean Mapping. IEEE Access 6, 2136–2144. doi: 10.1109/ACCESS.2017.2781801
  • Masetti, G., Smith, M.J., Mayer, L.A.,Kelley, J.G.W.(2020). Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping. Front. Mar. Sci. 6:804. doi: 10.3389/fmars.2019.00804
  • Mayer, L. A. (2014). Ocean mapping. J. Ocean Technol. 9, 13–18
  • Sandwell, D.T., Gille, S.T., Smith, W.H.F. (2002). Bathymetry from Space: Oceanography, Geophysics, and Climate, Geoscience Professional Services, Bethesda, Maryland, 24 pp.
  • Schaap, D.M.A. (2015). EMODnet Bathymetry – Building and Providing a High Resolution Digital Bathymetry for European Seas. Geophysical Research Abstracts, vol. 17, EGU2015-6071
  • UNESCO-IOC (2021). The United Nations Decade of Ocean Science for Sustainable Development (2021-2030) Implementation Plan Vol. 20 (Paris: UNESCO).
  • UNESCO Ocean Programmes. (2022). Foreword by Director-General Audrey Azoulay, France,
  • Van Doornik, M. (2016). Comparison, harmonization and integration of bathymetric datasets from multiple sources, MSc thesis, Wageningen University and Research Centre.
  • Vrdoljak, L. (2021). Comparison and analysis of publicly available bathymetry models in the East Adriatic Sea. Naše more. Vol.68-2:110-119. DOI: 10.17818/nm/2021/2.7
  • Ward, R. (2010). General Bathymetric Charts of the Ocean. Hydro International, Geomares Publishing.
  • Wölfl, A.-C., Snaith, H., Amirebrahimi, S., Devey, C.W., Dorschel, B., Ferrini, V., Huvenne, V.A.I., Jakobsson, M., Jencks, J., Johnston, G., Lamarche, G., Mayer, L., Millar, D., Pedersen, T.H., Picard, K., Reitz, A., Schmitt, T., Visbeck, M., Weatherall, P., Wigley, R. (2019). Seafloor Mapping – The Challenge of a Truly Global Ocean Bathymetry. Front. Mar. Sci. 6:283.doi:10.3389/fmars.2019.00283
There are 16 citations in total.

Details

Primary Language English
Subjects Ocean Engineering
Journal Section Research Articles
Authors

Emre Tükenmez 0000-0001-9274-7678

Emre Gülher 0000-0002-6548-6561

Ozgur Kaya 0000-0003-2412-8888

Early Pub Date September 6, 2023
Publication Date September 30, 2023
Published in Issue Year 2023 Volume: 10 Issue: 3

Cite

APA Tükenmez, E., Gülher, E., & Kaya, O. (2023). Comparison of Publicly Available Bathymetric Data with Real Measurements in the Southeastern Black Sea. International Journal of Environment and Geoinformatics, 10(3), 48-52. https://doi.org/10.30897/ijegeo.1325607