from __future__ import absolute_import, division, print_function, \
unicode_literals
import numpy as np
from netCDF4 import Dataset as NetCDFFile
from mpas_tools.mesh.creation.open_msh import readmsh
from mpas_tools.mesh.creation.util import circumcenter
import argparse
[docs]
def jigsaw_to_netcdf(msh_filename, output_name, on_sphere, sphere_radius=None):
"""
Converts mesh data defined in triangle format to NetCDF
Parameters
----------
msh_filename : str
A JIGSAW mesh file name
output_name: str
The name of the output file
on_sphere : bool
Whether the mesh is spherical or planar
sphere_radius : float, optional
The radius of the sphere in meters. If ``on_sphere=True`` this argument
is required, otherwise it is ignored.
"""
# Authors: Phillip J. Wolfram, Matthew Hoffman and Xylar Asay-Davis
grid = NetCDFFile(output_name, 'w', format='NETCDF3_CLASSIC')
# Get dimensions
# Get nCells
msh = readmsh(msh_filename)
nCells = msh['POINT'].shape[0]
# Get vertexDegree and nVertices
vertexDegree = 3 # always triangles with JIGSAW output
nVertices = msh['TRIA3'].shape[0]
if vertexDegree != 3:
ValueError("This script can only compute vertices with triangular "
"dual meshes currently.")
grid.createDimension('nCells', nCells)
grid.createDimension('nVertices', nVertices)
grid.createDimension('vertexDegree', vertexDegree)
# Create cell variables and sphere_radius
xCell_full = msh['POINT'][:, 0]
yCell_full = msh['POINT'][:, 1]
zCell_full = msh['POINT'][:, 2]
for cells in [xCell_full, yCell_full, zCell_full]:
assert cells.shape[0] == nCells, 'Number of anticipated nodes is' \
' not correct!'
if on_sphere:
grid.on_a_sphere = "YES"
grid.sphere_radius = sphere_radius
# convert from km to meters
xCell_full *= 1e3
yCell_full *= 1e3
zCell_full *= 1e3
else:
grid.on_a_sphere = "NO"
grid.sphere_radius = 0.0
# Create cellsOnVertex
cellsOnVertex_full = msh['TRIA3'][:, :3] + 1
assert cellsOnVertex_full.shape == (nVertices, vertexDegree), \
'cellsOnVertex_full is not the right shape!'
# Create vertex variables
xVertex_full = np.zeros((nVertices,))
yVertex_full = np.zeros((nVertices,))
zVertex_full = np.zeros((nVertices,))
for iVertex in np.arange(0, nVertices):
cell1 = cellsOnVertex_full[iVertex, 0]
cell2 = cellsOnVertex_full[iVertex, 1]
cell3 = cellsOnVertex_full[iVertex, 2]
x1 = xCell_full[cell1 - 1]
y1 = yCell_full[cell1 - 1]
z1 = zCell_full[cell1 - 1]
x2 = xCell_full[cell2 - 1]
y2 = yCell_full[cell2 - 1]
z2 = zCell_full[cell2 - 1]
x3 = xCell_full[cell3 - 1]
y3 = yCell_full[cell3 - 1]
z3 = zCell_full[cell3 - 1]
pv = circumcenter(on_sphere, x1, y1, z1, x2, y2, z2, x3, y3, z3)
xVertex_full[iVertex] = pv.x
yVertex_full[iVertex] = pv.y
zVertex_full[iVertex] = pv.z
meshDensity_full = grid.createVariable(
'meshDensity', 'f8', ('nCells',))
for iCell in np.arange(0, nCells):
meshDensity_full[iCell] = 1.0
del meshDensity_full
var = grid.createVariable('xCell', 'f8', ('nCells',))
var[:] = xCell_full
var = grid.createVariable('yCell', 'f8', ('nCells',))
var[:] = yCell_full
var = grid.createVariable('zCell', 'f8', ('nCells',))
var[:] = zCell_full
var = grid.createVariable('xVertex', 'f8', ('nVertices',))
var[:] = xVertex_full
var = grid.createVariable('yVertex', 'f8', ('nVertices',))
var[:] = yVertex_full
var = grid.createVariable('zVertex', 'f8', ('nVertices',))
var[:] = zVertex_full
var = grid.createVariable(
'cellsOnVertex', 'i4', ('nVertices', 'vertexDegree',))
var[:] = cellsOnVertex_full
grid.sync()
grid.close()
def main():
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument(
"-m",
"--msh",
dest="msh",
required=True,
help="input .msh file generated by JIGSAW.",
metavar="FILE")
parser.add_argument(
"-o",
"--output",
dest="output",
default="grid.nc",
help="output file name.",
metavar="FILE")
parser.add_argument(
"-s",
"--spherical",
dest="spherical",
action="store_true",
default=False,
help="Determines if the input/output should be spherical or not.")
parser.add_argument(
"-r",
"--sphere_radius",
dest="sphere_radius",
type=float,
help="The radius of the sphere in meters")
args = parser.parse_args()
jigsaw_to_netcdf(args.msh, args.output, args.spherical, args.sphere_radius)