On the Trail of the Great 2004 Andaman-Sumatra Earthquake: Seismotectonics and Regional Tsunami History from the Andaman-Nicobar Segment

Rajendran, C. P.; Rajendran, Kusala

doi:10.1007/978-3-030-39843-9_10

Cited by 4 publications

(1 citation statement)

References 49 publications

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“…This part of the study area contains distributed islands, namely Hudson Bay, Point Island, Page Island, Reef Island, and West Islands, within shallow waters of depth not less than ~ 40 m (Mukerji, 1992;Bansal, 2005). Earlier researchers extensively investigated this area in the context of seismic activities (Rajendran et al, 2003;Rajendran et al, 2007;Smet et al, 2008).…”

Section: Test Sitesmentioning

confidence: 99%

Performance Assessment of GEBCO_2023 Gridded Bathymetric Data in Shallow Waters Using the Seafloor from ICESat-2 Photons

Giribabu,

Hari,

Sharma

et al. 2023

Preprint

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Bathymetric data represents the true seafloor topography and aids in understanding the intricacies of earth and ocean interaction processes. The General Bathymetric Chart of the Oceans (GEBCO) released the GEBCO_2023 gridded bathymetric data as an interim dataset in connection with the ambitious task of producing the definitive ocean floor map by 2023. Evaluating the data of scientific importance is essential to ensure its fitness for the applications; however, the procedure needs qualified reference data of higher accuracy. This article discusses the methods and results of performance validation on GEBCO_2023 using the reference seafloor obtained from the ICESat-2 geolocated photons. The validation was carried out at three test sites of shallow waters with different ecotones. In the two of the test sites, where the coastal waters have minimal perturbations from the continental sediment flux, the trend of the seafloor from both the data sources is similar, and the quantified accuracy of GEBCO_2023 in terms of RMSE is less than 3 m. In the extent of the third test site, where mostly perennial turbidity prevails, the accuracy in terms of RMSE and MAE ranged from 5–6 m and underestimated the seafloor. The reasons for the errors in the GEBCO_2023 grid were analyzed based on the associated Type-Identifier grid that informs the source of depth data for a given grid cell. In summary, the GEBCO_2023 grid is the best available and resourceful bathymetric data in the present scenario where, besides the technological advancements, there exist challenges and complications for mapping the ocean surface.

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Section: Test Sitesmentioning

confidence: 99%