.NC
monji_ttcx_1d0dd.nc (5.9 MB)
.NC
monji_ga5_grad_f500.nc (136.31 kB)
.NC
result.dens.inv.nc (2.01 MB)
.NC
result.tomo.inv.nc (2 MB)
.NC
result.grav.inv.nc (2.01 MB)
DOCUMENT
pvsection_23_23.5.pdf (15.81 kB)
DOCUMENT
paperzsections_2_4_6.pdf (199.44 kB)
1/0
P-wave velocity and density models of Montserrat
dataset
posted on 2020-11-19, 20:40 authored by Michele PaulattoMichele Paulatto, Max Moorkamp, Stefanie Hautmann, Emilie Hooft, Joanna Morgan, R Stephen J SparksP-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
Find out more...