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P-wave velocity and density models of Montserrat

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posted on 2020-11-19, 20:40 authored by Michele PaulattoMichele Paulatto, Max Moorkamp, Stefanie Hautmann, Emilie Hooft, Joanna Morgan, R Stephen J Sparks
P-wave velocity model and density model obtained by joint inversion of seismic traveltimes and gravity anomalies as described in Paulatto et al. (2019).
The traveltime data come from the SEA-CALIPSO experiment and are described in Paulatto et al. (2012). The gravity data are a compilation of land and marine gravity data. The code used for the inversion (jif3D, https://sourceforge.net/projects/jif3d/) is described in Moorkamp et al. (2010). The authors welcome reuse of the models and data. For any questions contact Michele Paulatto (m.paulatto@imperial.ac.uk).

Included files:
monji_ttcx_1d0dd.nc = traveltime dataset
monji_ga5_grad_f500.nc = gravity anomaly dataset
result.tomo.inv.nc = output slowness file
result.grav.inv.nc = ourput density anomaly file
result.dens.inv.nc = output density file (density anomaly + reference 1d density model)
paperzsections_2_4_6.pdf = plots of horizontal cross-sections
pvsection_23_23.5.pdf = plots of vertical cross-sections

Coordinates and units
The model coordinates are defined over a local Cartesian coordinate system with origin at longitude -62.4 degrees, latitude 16.5 degrees. Easting, northing and depth are in units of metres from the origin point. Depth is referenced to an elevation of 2000 m above mean sea level and is positive downward (zero Depth corresponds to 2000 m elevation). The Slowness field is in units of s/m and the density is in units of g/cm3.

Northing bounds: 0 / 50000
Easting bounds: 0 / 45000
Depth bounds: 0 / 14500 (-2000 / 12500 )

Reading the models
The contents can be loaded in Python using the netcdf4 library. See example code snippet below.


from netCDF4 import Dataset

a = Dataset('result.tomo.inv.nc', mode='r')

northing = a.variables['Northing'][:]

easting = a.variables['Easting'][:]

depth = a.variables['Depth'][:]

slowness = a.variables[Slowness][:,:,:]

a.close()


b = Dataset('result.dens.inv.nc', mode='r')

northing = b.variables['Northing'][:]

easting = b.variables['Easting'][:]

depth = b.variables['Depth'][:]

density = b.variables[Density][:,:,:]

b.close()


c = Dataset('result.grav.inv.nc', mode='r')

northing = c.variables['Northing'][:]

easting = c.variables['Easting'][:]

depth = c.variables['Depth'][:]

density_a = c.variables[Density][:,:,:]

c.close()


Funding

Leverhulme Trust RPG‐2015‐363

Building a tectonic plate: Water, magma and faults in the oceanic lithosphere

Natural Environment Research Council

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