Data DOI: 10.1594/IEDA/324494
Citation:
Martinez, Fernando, et al., (2018), Seafloor Magnetization data, Reykjanes Ridge, Langseth cruise MGL1309 (2013, investigators Fernando Martinez and Richard Hey). Interdisciplinary Earth Data Alliance (IEDA). doi:10.1594/IEDA/324494
Title:
Seafloor Magnetization data, Reykjanes Ridge, Langseth cruise MGL1309 (2013, investigators Fernando Martinez and Richard Hey)
Abstract:
This three-dimensonal seafloor magnetization grid was derived from the magnetic anomaly data. To carry out the inversion for seafloor magnetization the MGL1309 magnetic anomaly grid was extended within a rectangular area using regional gridded values from Macnab et al. (1995) and ship data from Searle et al. (1998) regridded in ~1 km cells. The multibeam bathymetry grid was extended within the same rectangular area using satellite-predicted bathymetry (Sandwell et al., 2014) to fill areas outside the multibeam coverage and regridded in ~1 km cells. The grids were mirrored to minimize edge effects and a three-dimensional Fourier inversion for seafloor magnetization (Parker, 1972) was carried out using Mirone Software (Luis, 2007) assuming a 500 m source layer with magnetization direction given by the axial geocentric dipole. Five terms in the Fourier series were used in the inversion. The resulting values were masked to the extent of the MGL1309 multibeam grid. As the polarity transitions agreed well with two-dimensional reversal modeling of profile values no annihilator was added. The data file is in netCDF:GMT grid format. It is cited in Martinez and Hey, 2017, and was generated as part of the project called Test Between Thermal and Tectonic Hypotheses for North Atlantic Seafloor Spreading Geometry Reorganization. Funding was provided by NSF award OCE11-54071.
Creator(s):
Martinez, Fernando
Hey, Richard
Date Available:
2018-05-15
Date Created:
2018-05-15
Data Type(s):
Magnetization
Resource Type:
Dataset
File Format(s):
application/x-netcdf
Funding source(s):
National Science Foundation: 1154071
Data Curated by:
Version:
1
Language:
en
License:
Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0] URI: http://creativecommons.org/licenses/by-nc-sa/3.0/us/
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doi: 10.1594/IEDA/324492