import numpy as np
from geometric_features import read_feature_collection
from mpas_tools.cime.constants import constants
from mpas_tools.mesh.creation.signed_distance import (
signed_distance_from_geojson,
)
from compass.mesh import QuasiUniformSphericalMeshStep
[docs]
class SO12to30BaseMesh(QuasiUniformSphericalMeshStep):
"""
A step for creating SO12to30 meshes
"""
def setup(self):
"""
Add some input files
"""
self.add_input_file(filename='high_res_region.geojson',
package=self.__module__)
super().setup()
[docs]
def build_cell_width_lat_lon(self):
"""
Create cell width array for this mesh on a regular latitude-longitude
grid
Returns
-------
cellWidth : numpy.array
m x n array of cell width in km
lon : numpy.array
longitude in degrees (length n and between -180 and 180)
lat : numpy.array
longitude in degrees (length m and between -90 and 90)
"""
dlon = 0.1
dlat = dlon
earth_radius = constants['SHR_CONST_REARTH']
nlon = int(360. / dlon) + 1
nlat = int(180. / dlat) + 1
lon = np.linspace(-180., 180., nlon)
lat = np.linspace(-90., 90., nlat)
# start with a uniform 30 km background resolution
dx_max = 30.
cell_width = dx_max * np.ones((nlat, nlon))
fc = read_feature_collection('high_res_region.geojson')
so_signed_distance = signed_distance_from_geojson(fc, lon, lat,
earth_radius,
max_length=0.25)
# Equivalent to 20 degrees latitude
trans_width = 1600e3
trans_start = 500e3
dx_min = 12.
weights = 0.5 * (1 + np.tanh((so_signed_distance - trans_start) /
trans_width))
cell_width = dx_min * (1 - weights) + cell_width * weights
return cell_width, lon, lat