Published March 14, 2023 | Version v1
Dataset Open

Global Distribution and Morphology of Small Seamounts

  • 1. Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
  • 2. Department of Geological Sciences, Chungnam National University, Daejeon, Korea
  • 3. Department of Earth Sciences, SOEST, University of Hawaii at Manoa, Honolulu, Hawaii, USA

Description

Abstract

Seamounts are isolated elevations in the seafloor with circular or elliptical plans, comparatively steep slopes, and relatively small summit area (Menard, 1964). The vertical gravity gradient (VGG), which is the curvature of the ocean surface topography derived from satellite altimeter measurements, has been used to map the global distribution of seamounts (Kim & Wessel, 2011). We used the latest grid of VGG to update and refine the global seamount catalog; we identified 19325 new seamounts, expanding a previously published catalog having 24643 seamounts. 739 well-surveyed seamounts, having heights ranging from 421 m to 2500 m, were used to estimate the typical radially-symmetric seamount morphology. First, an Empirical Orthogonal Function (EOF) analysis was used to demonstrate that these small seamounts have a basal radius that is linearly related to their height – their shapes are scale invariant. Two methods were then used to compute this characteristic base to height ratio: an average Gaussian fit to the stack of all profiles and an individual Gaussian fit for each seamount in the sample. The first method combined the radial normalized height data from all 739 seamounts to form median and median-absolute deviation. These data were fit by a 2-parameter Gaussian model that explained 99.82% of the variance. The second method used the Gaussian function to individually model each seamount in the sample and further establish the Gaussian model. Using this characteristic Gaussian shape we show that VGG can be used to estimate the height of small seamounts to an accuracy of ~270 m.

Methods: This directory contains the files that were used to locate the SIO seamounts in Gevorgian et al., 2022 (Manuscript in Revision).

  1. VGG30.kmz, VGG32.kmz, and VGG32a.kmz: Files of the vertical gravity gradient to view on Google Earth. VGG32a.kmz has a smaller gray-scale saturation range of -42 to +28 Eotvos (Sandwell et al., 2021).

  2. srtm15_V2.kmz: File of seafloor bathymetry to view on Google Earth (Tozer et al., 2019).

  3. KWSMTSV0.1.kml: Previous Seamount Picks (Kim & Wessel, 2011).

  4. SSPs-ridges.kmz and FZs.kmz: Digitized see-saw propagators, ridges, and fracture zones for Google Earth (Matthews et al., 2011; Wessel et al., 2015).

Seamounts_Modeled: This directory contains the seamounts in the combined SIO and Kim-Wessel (2011) (KW) catalogs. 

There are five categories of seamounts: all.nxhrdnc, good.nxhrdnc, shallow.nxhrdnc, short.nxhrdnc, tall.nxhrdnc. Each file has seven columns: longitude, latitude, height, radius, base depth, name, and charted/uncharted. More information can be found in the README.txt file. 

The seamounts_modeled.kmz file can be used to view the seamount catalog in Google Earth. 

KW_badlist.txt is a text file which has names of 514 seamounts from the KW catalog that no longer show a signal in the VGG (Version 30).

The smtdata_739.xlsx has the analysis results for 739 seamounts which were modeled through two methods (Gevorgian et al., 2022).

Notes

Acknowledgements - This work was supported by the Office of Naval Research (N00014-17-1-2866), NASA SWOT program (NNX16AH64G and 80NSSC20K1138) and the Nippon Foundation through the SeaBed2030 project. S.-S. Kim acknowledges support from the National Research Foundation of Korea (NRF-2021R1A2C1012030). The Generic Mapping Tools (GMT) (Wessel et al., 2019) were extensively used in data processing.

Files

SIO_Seamounts.zip

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Additional details

Related works

Is referenced by
Dataset: 10.5281/zenodo.5784502 (DOI)