diff --git a/xios_examples/dataFunc.py b/xios_examples/dataFunc.py
new file mode 100644
index 0000000..87ebd6b
--- /dev/null
+++ b/xios_examples/dataFunc.py
@@ -0,0 +1,124 @@
+import numpy as np
+
+class dataFunc:
+ """
+ Class containing functions which generate analytical data values for an input of
+ latitude and longitude arrays.
+
+ Functions sinusiod,harmonic,vortex,gulfstream are taken from the paper
+ `Benchmarking Regridding Libraries Used in Earth System Modelling`, see
+ https://www.mdpi.com/2297-8747/27/2/31
+ """
+
+ def func_sinusiod(self, latarr, lonarr):
+
+ length = 1.2*np.pi
+ conv = np.pi/180.0
+ coef = 2.0
+ coefmult = 1.0
+
+ data = np.array(coefmult*(coef - np.cos( np.pi*(np.arccos( np.cos(lonarr*conv)*np.cos(latarr*conv) )/length))), dtype=np.float64)
+
+ return data
+
+ def func_harmonic(self, latarr, lonarr):
+
+ conv = np.pi/180.0
+
+ data = np.array(2.0 + (np.sin(2.0*latarr*conv)**16)*np.cos(16.0*lonarr*conv), dtype=np.float64)
+
+ return data
+
+ def func_vortex(self, latarr, lonarr):
+
+ lon0 = 5.5
+ lat0 = 0.2
+ r0 = 3.0
+ d = 5.0
+ t = 6.0
+ conv = np.pi/180.0
+ sinc = np.sin(lat0)
+ cosc = np.cos(lat0)
+
+ # Find the rotated Longitude and Latitude of a point on a sphere
+ # with pole at (lon0, lat0)
+ cost = np.cos(latarr*conv)
+ sint = np.sin(latarr*conv)
+
+ trm = cost * np.cos(lonarr*conv-lon0)
+ x = sinc * trm - cosc*sint
+ y = cost * np.sin(lonarr*conv-lon0)
+ z = sinc * sint + cosc*trm
+
+ lon = np.arctan2(y, x)
+ lon = np.where(lon < 0.0, lon+2.0*np.pi, lon)
+ lat = np.arcsin(z)
+
+ rho = r0 * np.cos(lat)
+ vt = 3.0 * np.sqrt(3.0)/2.0/np.cosh(rho)/np.cosh(rho)*np.tanh(rho)
+ omega = np.where(rho == 0.0, 0.0, vt/rho)
+
+ data = np.array(2.0*(1.0+np.tanh(rho/d * np.sin(lon-omega*t))), dtype=np.float64)
+
+ return data
+
+ def func_gulfstream(self, latarr, lonarr):
+
+ # Parameters for analytical function
+ coef = 2.0
+ length = 1.2*np.pi
+ conv = np.pi/180.0
+ gf_coef = 1.0 # Coefficient for Gulf Stream term (0.0 = no Gulf Stream)
+ gf_ori_lon = -80.0 # Origin of the Gulf Stream (longitude in deg)
+ gf_ori_lat = 25.0 # Origin of the Gulf Stream (latitude in deg)
+ gf_end_lon = -1.8 # End point of the Gulf Stream (longitude in deg)
+ gf_end_lat = 50.0 # End point of the Gulf Stream (latitude in deg)
+ gf_dmp_lon = -25.5 # Point of the Gulf Stream decrease (longitude in deg)
+ gf_dmp_lat = 55.5 # Point of the Gulf Stream decrease (latitude in deg)
+
+ dr0 = np.sqrt(((gf_end_lon - gf_ori_lon)*conv)**2 +
+ ((gf_end_lat - gf_ori_lat)*conv)**2)
+
+ dr1 = np.sqrt(((gf_dmp_lon - gf_ori_lon)*conv)**2 +
+ ((gf_dmp_lat - gf_ori_lat)*conv)**2)
+
+ # Original OASIS fcos analytical test function
+ fnc_ana = (coef-np.cos(np.pi*(np.arccos(np.cos(latarr*conv)*np.cos(lonarr*conv))/length)))
+ gf_per_lon = lonarr
+ gf_per_lon = np.where(gf_per_lon > 180.0, gf_per_lon-360.0, gf_per_lon)
+ gf_per_lon = np.where(gf_per_lon < -180.0, gf_per_lon+360.0, gf_per_lon)
+ dx = (gf_per_lon - gf_ori_lon)*conv
+ dy = (latarr - gf_ori_lat)*conv
+ dr = np.sqrt(dx*dx + dy*dy)
+ dth = np.arctan2(dy, dx)
+ dc = 1.3*gf_coef
+ dc = np.where(dr > dr0, 0.0, dc)
+ dc = np.where(dr > dr1, dc * np.cos(np.pi*0.5*(dr-dr1)/(dr0-dr1)), dc)
+ data = np.array(fnc_ana + (np.maximum(1000.0*np.sin(0.4*(0.5*dr+dth)+0.007*np.cos(50.0*dth) +
+ 0.37*np.pi),999.0)-999.0)*dc, dtype=np.float64)
+
+ return data
+
+ def func_cossin(self, latarr, lonarr):
+
+ length = 1.0*np.pi
+ conv = np.pi/180.
+ coef = 21.0
+ coefmult = 3.846 * 20.0
+
+ data = np.array(coefmult*(coef - np.cos( np.pi*(np.arccos( np.cos(lonarr*conv)*np.cos(latarr*conv) )/length)) *
+ np.sin( np.pi*(np.arcsin( np.sin(lonarr*conv)*np.sin(latarr*conv) )/length))), dtype=np.float64)
+
+ return data
+
+ def get_funclist(self):
+
+ funclist = [func.removeprefix('func_') for func in dir(self) if callable(getattr(self, func)) and func.startswith('func_')]
+
+ return funclist
+
+ def get_func(self, name: str):
+
+ do = f"func_{name}"
+ if hasattr(self, do) and callable(func := getattr(self, do)):
+ return func
diff --git a/xios_examples/gen_netcdf.py b/xios_examples/gen_netcdf.py
new file mode 100644
index 0000000..56b48d3
--- /dev/null
+++ b/xios_examples/gen_netcdf.py
@@ -0,0 +1,327 @@
+import sys
+import os
+import argparse
+import netCDF4 as nc
+import numpy as np
+from .dataFunc import dataFunc
+
+# Global defaults here as needed for command line arguments defaults and argument defaults to run function
+defaults = {
+ 'func_str': 'sinusiod',
+ 'mesh_file': None,
+ 'mesh_varname': None,
+ 'nlat': 101,
+ 'nlon': 100,
+ 'nlatr': 81,
+ 'nlonr': 80
+ }
+
+def create_ncfile(ncfile, nlat, nlon, func, dim_prefix='', dim_suffix='', data_prefix='', data_suffix=''):
+ """
+ Create netCDF file variables for data on a regular latitude/longitude grid.
+
+ Parameters:!play
+ ncfile: An open, writable netCDF4 dataset
+ nlat: Number of latitude points
+ nlon: Number of longitude points
+ func: Function to generate data values
+ dim_prefix: prefix for the latitude/longitude dimension name
+ dim_suffix: suffix for the latitude/longitude dimension name
+ data_prefix): prefix for the data variable name
+ data_suffix): suffix for the data variable name
+ """
+
+ latname = f'{dim_prefix}latitude{dim_suffix}'
+ lonname = f'{dim_prefix}longitude{dim_suffix}'
+ dataname = f'{data_prefix}data{data_suffix}'
+
+ ncfile.createDimension(latname, nlat)
+ ncfile.createDimension(lonname, nlon)
+ if 'nbounds' not in ncfile.dimensions:
+ ncfile.createDimension('nbounds', 2)
+
+ lat = ncfile.createVariable(latname, np.float32, (latname,))
+ lat.units = 'degrees_north'
+ lat.standard_name = 'latitude'
+ lat.bounds = f'{latname}_bounds'
+
+ step_lat = 180.0/(nlat-1)
+ first_lat = -90.0
+ lat[:] = first_lat + step_lat*np.arange(nlat)
+ lat2d = np.repeat(lat,nlon).reshape(nlat,nlon)
+
+ lat_bnds = ncfile.createVariable(lat.bounds, np.float32, (latname,'nbounds'))
+ lat_bnds[:,0] = lat[:] - step_lat/2.0
+ lat_bnds[:,1] = lat[:] + step_lat/2.0
+
+ lon = ncfile.createVariable(lonname, np.float32, (lonname,))
+ lon.units = 'degrees_east'
+ lon.standard_name = 'longitude'
+ lon.bounds = f'{lonname}_bounds'
+
+ step_lon = 360.0/nlon
+ first_lon = 0.0
+ lon[:] = first_lon + step_lon*np.arange(nlon)
+ lon2d = np.tile(lon,(nlat,1))
+
+ lon_bnds = ncfile.createVariable(lon.bounds, np.float32, (lonname,'nbounds'))
+ lon_bnds[:,0] = lon[:] - step_lon/2.0
+ lon_bnds[:,1] = lon[:] + step_lon/2.0
+
+ data = ncfile.createVariable(dataname, np.float64, (latname,lonname))
+ data.long_name = "input data values"
+ data[:] = func(lat2d, lon2d)
+
+def create_ncfile_unstructured(ncmeshout, meshin_file, meshin_varname, func, add_bounds=True, data_prefix='', data_suffix=''):
+ """
+ Create netCDF file variables for data on a unstructured latitude/longitude grid,
+ uses unstructured mesh from UGRID netCDF file.
+
+ Parameters:
+ ncmeshout: An open, writable netCDF4 dataset
+ meshin_file: UGRID netCDF file, used to extract mesh topology
+ meshin_varname: Variable name of mesh topology data in meshin_file
+ func: Function to generate data values
+ add_bounds: Add latitude/longitude bounds information
+ data_prefix): prefix for the data variable name
+ data_suffix): suffix for the data variable name
+ """
+
+ dataname = f'{data_prefix}data{data_suffix}'
+
+ ncmeshin = nc.Dataset(meshin_file, 'r', format='NETCDF4')
+
+ if meshin_varname is None:
+ for name,var in ncmeshin.variables.items():
+ if 'cf_role' in var.ncattrs():
+ if var.cf_role == 'mesh_topology':
+ # Will use the first instance of cf_role == 'mesh_topology' found.
+ # If multiple instances in file consider specifying --meshvar meshin_varname on command line
+ meshin_varname = name
+ break
+
+ try:
+ meshin_var = ncmeshin.variables[meshin_varname]
+ except KeyError:
+ print (f'Mesh topology variable {meshin_varname} does not exist')
+ raise
+
+ nface = ncmeshin.dimensions[f'n{meshin_varname}_face'].size
+ nnode = ncmeshin.dimensions[f'n{meshin_varname}_node'].size
+ nedge = ncmeshin.dimensions[f'n{meshin_varname}_edge'].size
+
+ face_node_connectivity = ncmeshin.variables[meshin_var.face_node_connectivity]
+ edge_node_connectivity = ncmeshin.variables[meshin_var.edge_node_connectivity]
+ face_edge_connectivity = ncmeshin.variables[meshin_var.face_edge_connectivity]
+ if 'edge_face_connectivity' in meshin_var.ncattrs():
+ edge_face_connectivity = ncmeshin.variables[meshin_var.edge_face_connectivity]
+ face_face_connectivity = ncmeshin.variables[meshin_var.face_face_connectivity]
+
+ for face_coord in meshin_var.face_coordinates.split(" "):
+ face_coordvar = ncmeshin.variables[face_coord]
+ if face_coordvar.standard_name == 'longitude':
+ face_lon = face_coordvar[:]
+ elif face_coordvar.standard_name == 'latitude':
+ face_lat = face_coordvar[:]
+
+ for node_coord in meshin_var.node_coordinates.split(" "):
+ node_coordvar = ncmeshin.variables[node_coord]
+ if node_coordvar.standard_name == 'longitude':
+ node_lon = node_coordvar[:]
+ elif node_coordvar.standard_name == 'latitude':
+ node_lat = node_coordvar[:]
+
+ if 'edge_coordinates' in meshin_var.ncattrs():
+ for edge_coord in meshin_var.edge_coordinates.split(" "):
+ edge_coordvar = ncmeshin.variables[edge_coord]
+ if edge_coordvar.standard_name == 'longitude':
+ edge_lon = edge_coordvar[:]
+ elif edge_coordvar.standard_name == 'latitude':
+ edge_lat = edge_coordvar[:]
+
+ meshout_varname = 'Mesh2d'
+ ncmeshout.Conventions = "UGRID-1.0"
+ start_index = 0
+
+ face_dim = ncmeshout.createDimension(f'n{meshout_varname}_face', nface)
+ node_dim = ncmeshout.createDimension(f'n{meshout_varname}_node', nnode)
+ edge_dim = ncmeshout.createDimension(f'n{meshout_varname}_edge', nedge)
+ vertex_dim = ncmeshout.createDimension(f'n{meshout_varname}_vertex', 4)
+ two_dim = ncmeshout.createDimension('Two', 2)
+
+ meshout_var = ncmeshout.createVariable(meshout_varname, np.int32)
+ meshout_var.cf_role = "mesh_topology"
+ meshout_var.long_name = "Topology data of 2D unstructured mesh"
+ meshout_var.topology_dimension = np.int32(2)
+ meshout_var.face_coordinates = f"{meshout_varname}_face_x {meshout_varname}_face_y"
+ meshout_var.node_coordinates = f"{meshout_varname}_node_x {meshout_varname}_node_y"
+ meshout_var.edge_coordinates = f"{meshout_varname}_edge_x {meshout_varname}_edge_y"
+ meshout_var.face_node_connectivity = f"{meshout_varname}_face_nodes"
+ meshout_var.edge_node_connectivity = f"{meshout_varname}_edge_nodes"
+ meshout_var.face_edge_connectivity = f"{meshout_varname}_face_edges"
+ if 'edge_face_connectivity' in meshin_var.ncattrs():
+ meshout_var.edge_face_connectivity = f"{meshout_varname}_edge_face_links"
+ meshout_var.face_face_connectivity = f"{meshout_varname}_face_links"
+
+ face_x = ncmeshout.createVariable(f"{meshout_varname}_face_x", np.float32, (face_dim.name,))
+ face_x.standard_name = "longitude"
+ face_x.long_name = "Characteristic longitude of mesh faces."
+ face_x.units = "degrees_east"
+ face_x[:] = face_lon
+
+ face_y = ncmeshout.createVariable(f"{meshout_varname}_face_y", np.float32, (face_dim.name,))
+ face_y.standard_name = "latitude"
+ face_y.long_name = "Characteristic latitude of mesh faces."
+ face_y.units = "degrees_north"
+ face_y[:] = face_lat
+
+ node_x = ncmeshout.createVariable(f"{meshout_varname}_node_x", np.float32, (node_dim.name,))
+ node_x.standard_name = "longitude"
+ node_x.long_name = "Longitude of mesh nodes."
+ node_x.units = "degrees_east"
+ node_x[:] = node_lon
+
+ node_y = ncmeshout.createVariable(f"{meshout_varname}_node_y", np.float32, (node_dim.name,))
+ node_y.standard_name = "latitude"
+ node_y.long_name = "Latitude of mesh nodes."
+ node_y.units = "degrees_north"
+ node_y[:] = node_lat
+
+ edge_x = ncmeshout.createVariable(f"{meshout_varname}_edge_x", np.float32, (edge_dim.name,))
+ edge_x.standard_name = "longitude"
+ edge_x.long_name = "Characteristic longitude of mesh edges."
+ edge_x.units = "degrees_east"
+ if 'edge_coordinates' in meshin_var.ncattrs():
+ edge_x[:] = edge_lon
+
+ edge_y = ncmeshout.createVariable(f"{meshout_varname}_edge_y", np.float32, (edge_dim.name,))
+ edge_y.standard_name = "latitude"
+ edge_y.long_name = "Characteristic latitude of mesh edges."
+ edge_y.units = "degrees_north"
+ if 'edge_coordinates' in meshin_var.ncattrs():
+ edge_y[:] = edge_lat
+
+ face_node = ncmeshout.createVariable(f"{meshout_varname}_face_nodes", np.int32, (face_dim.name,vertex_dim.name))
+ face_node.cf_role = "face_node_connectivity"
+ face_node.long_name = "Maps every face to its corner nodes."
+ face_node.start_index = np.int32(start_index)
+ face_node[:] = face_node_connectivity[:] - face_node_connectivity.start_index + start_index
+
+ edge_node = ncmeshout.createVariable(f"{meshout_varname}_edge_nodes", np.int32, (edge_dim.name,two_dim.name))
+ edge_node.cf_role = "edge_node_connectivity"
+ edge_node.long_name = "Maps every edge/link to two nodes that it connects."
+ edge_node.start_index = np.int32(start_index)
+ edge_node[:] = edge_node_connectivity[:] - edge_node_connectivity.start_index + start_index
+
+ face_edge = ncmeshout.createVariable(f"{meshout_varname}_face_edges", np.int32, (face_dim.name,vertex_dim.name), fill_value=999999)
+ face_edge.cf_role = "face_edge_connectivity"
+ face_edge.long_name = "Maps every face to its edges."
+ face_edge.start_index = np.int32(start_index)
+ face_edge[:] = face_edge_connectivity[:] - face_edge_connectivity.start_index + start_index
+
+ if 'edge_face_connectivity' in meshin_var.ncattrs():
+ edge_face = ncmeshout.createVariable(f"{meshout_varname}_edge_face_links", np.int32, (edge_dim.name,two_dim.name), fill_value=-999)
+ edge_face.cf_role = "edge_face_connectivity"
+ edge_face.long_name = "neighbor faces for edges"
+ edge_face.start_index = np.int32(start_index)
+ edge_face.comment = "missing neighbor faces are indicated using _FillValue"
+ edge_face[:] = edge_face_connectivity[:] - edge_face_connectivity.start_index + start_index
+
+ face_face = ncmeshout.createVariable(f"{meshout_varname}_face_links", np.int32, (face_dim.name,vertex_dim.name), fill_value=999999)
+ face_face.cf_role = "face_face_connectivity"
+ face_face.long_name = "Indicates which other faces neighbor each face"
+ face_face.start_index = np.int32(start_index)
+ face_face.flag_values = np.int32(-1) ;
+ face_face.flag_meanings = "out_of_mesh" ;
+ face_face[:] = face_face_connectivity[:] - face_face_connectivity.start_index + start_index
+
+ if add_bounds:
+ face_x.bounds = f"{face_x.name}_bounds"
+ face_x_bnds = ncmeshout.createVariable(face_x.bounds, face_x.dtype, face_node.dimensions)
+ face_x_bnds[:] = node_x[face_node[:].flatten()].reshape(face_x_bnds.shape)
+
+ face_y.bounds = f"{face_y.name}_bounds"
+ face_y_bnds = ncmeshout.createVariable(face_y.bounds, face_y.dtype, face_node.dimensions)
+ face_y_bnds[:] = node_y[face_node[:].flatten()].reshape(face_y_bnds.shape)
+
+ data = ncmeshout.createVariable(dataname, np.float64, (face_dim.name,))
+ data.long_name = "input data values"
+ data.mesh = meshout_varname
+ data.location = "face"
+ data.coordinates = f"{face_y.name} {face_x.name}"
+ data[:] = func(face_lat, face_lon)
+
+ ncmeshin.close()
+
+def getargs(argv=None):
+
+ df = dataFunc()
+ funclist = df.get_funclist()
+ del df
+
+ parser = argparse.ArgumentParser(description="Generate netCDF files with data on domains suitable for regridding")
+
+ parser.add_argument("--meshfile", help="Name of netCDF file containing UGRID mesh topology data, needed for UGRID data", dest='mesh_file')
+ parser.add_argument("--meshvar", help="Variable name of mesh topology data in netCDF file, optional for UGRID data", dest='mesh_varname')
+ parser.add_argument("--func", help="Analytic function for data variable (default: %(default)s)", choices=funclist, dest='func_str')
+ parser.add_argument("--nlat", help="Number of latitude points for original grid, not needed for UGRID data (default: %(default)d)", type = int)
+ parser.add_argument("--nlon", help="Number of longitude points for original grid, not needed for UGRID data (default: %(default)d)", type = int)
+ parser.add_argument("--nlatr", help="Number of latitude points for resampled grid (default: %(default)d)", type = int)
+ parser.add_argument("--nlonr", help="Number of longitude points for resampled grid (default: %(default)d)", type = int)
+ parser.add_argument("file_out", help="Name of non-UGRID output netCDF file")
+
+ parser.set_defaults(**defaults)
+ args = parser.parse_args(argv)
+
+ return args
+
+def run(file_out, func_str=defaults['func_str'], mesh_file=defaults['mesh_file'],
+ mesh_varname=defaults['mesh_varname'],
+ nlat=defaults['nlat'], nlon=defaults['nlon'],
+ nlatr=defaults['nlatr'], nlonr=defaults['nlonr']):
+ """
+ Generate netCDF files with data on domains suitable for regridding
+
+ Parameters:
+ file_out: Name of non-UGRID output netCDF file
+ func_str: Name of analytic function for data variable
+ mesh_file: Name of netCDF file containing UGRID mesh topology data, needed for UGRID data
+ mesh_varname: Variable name of mesh topology data in netCDF file, optional for UGRID data
+ nlat: Number of latitude points for original grid, not needed for UGRID data
+ nlon: Number of longitude points for original grid, not needed for UGRID data
+ nlatr: Number of latitude points for resampled grid
+ nlonr: Number of longitude points for resampled grid
+ """
+
+ df = dataFunc()
+ func = df.get_func(func_str)
+ mkugrid = mesh_file is not None
+
+ data_prefix = 'original_'
+
+ if mkugrid:
+ name, ext = os.path.splitext(file_out)
+ file_ugrid_out = f"{name}_ugrid{ext}"
+ ncfile = nc.Dataset(file_ugrid_out, 'w', format='NETCDF4')
+
+ create_ncfile_unstructured(ncfile, mesh_file, mesh_varname, func, add_bounds=True, data_prefix=data_prefix)
+
+ ncfile.close()
+
+ ncfile = nc.Dataset(file_out, 'w', format='NETCDF4')
+
+ if not mkugrid:
+ create_ncfile(ncfile, nlat, nlon, func, data_prefix=data_prefix)
+
+ data_prefix = 'resample_'
+ dim_suffix = '_resample'
+ create_ncfile(ncfile, nlatr, nlonr, func, data_prefix=data_prefix, dim_suffix=dim_suffix)
+
+ ncfile.close()
+
+def main(argv=None):
+ args = getargs(argv)
+ run(**vars(args))
+
+if __name__ == "__main__":
+ main()
diff --git a/xios_examples/read_unstructured_domain_resample/Makefile b/xios_examples/read_unstructured_domain_resample/Makefile
new file mode 120000
index 0000000..d0b0e8e
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/Makefile
@@ -0,0 +1 @@
+../Makefile
\ No newline at end of file
diff --git a/xios_examples/read_unstructured_domain_resample/README b/xios_examples/read_unstructured_domain_resample/README
new file mode 100644
index 0000000..91b8fff
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/README
@@ -0,0 +1,5 @@
+read_unstructured_domain_resample
+---------------------------------
+
+These examples read in arbitrary data on an unstructured grid from an netCDF file and resample to a different horizontal domain as defined within the input netCDF file using bilinear interpolation.
+The original and resampled data as well as a diff between them are written to one output NetCDF file. The unit tests include two known failure test cases where the expected result is not produced.
diff --git a/xios_examples/read_unstructured_domain_resample/__init__.py b/xios_examples/read_unstructured_domain_resample/__init__.py
new file mode 100644
index 0000000..df083e3
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/__init__.py
@@ -0,0 +1,3 @@
+"""
+Enable this folder to be a module path, for imports and test discovery.
+"""
diff --git a/xios_examples/read_unstructured_domain_resample/domain_check.xml b/xios_examples/read_unstructured_domain_resample/domain_check.xml
new file mode 100644
index 0000000..574c831
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/domain_check.xml
@@ -0,0 +1,26 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/xios_examples/read_unstructured_domain_resample/iodef.xml b/xios_examples/read_unstructured_domain_resample/iodef.xml
new file mode 100644
index 0000000..e3a1d6c
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/iodef.xml
@@ -0,0 +1,9 @@
+
+
+
+
+
+
+
+
+
diff --git a/xios_examples/read_unstructured_domain_resample/main.xml b/xios_examples/read_unstructured_domain_resample/main.xml
new file mode 100644
index 0000000..3be9630
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/main.xml
@@ -0,0 +1,54 @@
+
+
+
+
+
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+
+
+
+
+
+
+
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+
+
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+ rdata-edata
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+
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+
+
+
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+
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+
+
diff --git a/xios_examples/read_unstructured_domain_resample/mesh_C12.cdl b/xios_examples/read_unstructured_domain_resample/mesh_C12.cdl
new file mode 100644
index 0000000..18a6ba7
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/mesh_C12.cdl
@@ -0,0 +1,5216 @@
+netcdf mesh_C12 {
+dimensions:
+ ndynamics_node = 866 ;
+ ndynamics_edge = 1728 ;
+ ndynamics_face = 864 ;
+ One = 1 ;
+ Two = 2 ;
+ Four = 4 ;
+variables:
+ int dynamics ;
+ dynamics:cf_role = "mesh_topology" ;
+ dynamics:geometry = "spherical" ;
+ dynamics:topology = "periodic" ;
+ dynamics:coord_sys = "ll" ;
+ dynamics:max_stencil_depth = 0 ;
+ dynamics:periodic_x = "F" ;
+ dynamics:periodic_y = "F" ;
+ dynamics:constructor_inputs = "edge_cells=12;smooth_passes=0" ;
+ dynamics:n_mesh_maps = 0 ;
+ dynamics:long_name = "Topology data of 2D unstructured mesh" ;
+ dynamics:topology_dimension = 2 ;
+ dynamics:node_coordinates = "dynamics_node_x dynamics_node_y" ;
+ dynamics:face_coordinates = "dynamics_face_x dynamics_face_y" ;
+ dynamics:face_node_connectivity = "dynamics_face_nodes" ;
+ dynamics:edge_node_connectivity = "dynamics_edge_nodes" ;
+ dynamics:face_edge_connectivity = "dynamics_face_edges" ;
+ dynamics:face_face_connectivity = "dynamics_face_links" ;
+ dynamics:north_pole = 0., 90. ;
+ dynamics:null_island = 0., 0. ;
+ int dynamics_face_nodes(ndynamics_face, Four) ;
+ dynamics_face_nodes:cf_role = "face_node_connectivity" ;
+ dynamics_face_nodes:long_name = "Maps every quadrilateral face to its four corner nodes." ;
+ dynamics_face_nodes:start_index = 1 ;
+ int dynamics_edge_nodes(ndynamics_edge, Two) ;
+ dynamics_edge_nodes:cf_role = "edge_node_connectivity" ;
+ dynamics_edge_nodes:long_name = "Maps every edge to the two nodes that it connects." ;
+ dynamics_edge_nodes:start_index = 1 ;
+ int dynamics_face_edges(ndynamics_face, Four) ;
+ dynamics_face_edges:cf_role = "face_edge_connectivity" ;
+ dynamics_face_edges:long_name = "Maps every quadrilateral face to its four edges." ;
+ dynamics_face_edges:start_index = 1 ;
+ int dynamics_face_links(ndynamics_face, Four) ;
+ dynamics_face_links:cf_role = "face_face_connectivity" ;
+ dynamics_face_links:long_name = "Indicates which other faces neighbour each face." ;
+ dynamics_face_links:start_index = 1 ;
+ dynamics_face_links:flag_values = -1 ;
+ dynamics_face_links:flag_meanings = "out_of_mesh" ;
+ double dynamics_node_x(ndynamics_node) ;
+ dynamics_node_x:standard_name = "longitude" ;
+ dynamics_node_x:long_name = "longitude of 2D mesh nodes." ;
+ dynamics_node_x:units = "degrees_east" ;
+ double dynamics_node_y(ndynamics_node) ;
+ dynamics_node_y:standard_name = "latitude" ;
+ dynamics_node_y:long_name = "latitude of 2D mesh nodes." ;
+ dynamics_node_y:units = "degrees_north" ;
+ double dynamics_face_x(ndynamics_face) ;
+ dynamics_face_x:standard_name = "longitude" ;
+ dynamics_face_x:long_name = "longitude of 2D face centres" ;
+ dynamics_face_x:units = "degrees_east" ;
+ double dynamics_face_y(ndynamics_face) ;
+ dynamics_face_y:standard_name = "latitude" ;
+ dynamics_face_y:long_name = "latitude of 2D face centres" ;
+ dynamics_face_y:units = "degrees_north" ;
+data:
+
+ dynamics = _ ;
+
+ dynamics_face_nodes =
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+ -56.1218639580552, -56.1218639580552, -55.1100100086019,
+ -53.1318721567636, -50.2614918513234, -46.5794639642222,
+ -42.1582896974909, -44.7910057014103, -50.2614918513234,
+ -55.083961998064, -59.0768040127068, -61.9916577943195,
+ -63.5493286289719, -63.5493286289719, -61.9916577943195,
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+ -70.9275913731519, -70.9275913731519, -68.5184407025597,
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+ -46.7407217209629, -48.028885464146, -55.1100100086019,
+ -61.9916577943195, -68.5184407025596, -74.2857944271342,
+ -78.1707754306064, -78.1707754306064, -74.2857944271342,
+ -68.5184407025597, -61.9916577943196, -55.1100100086019,
+ -48.028885464146, -48.6695532368043, -56.1218639580552,
+ -63.5493286289719, -70.9275913731519, -78.1707754306064,
+ -84.7040547607168, -84.7040547607168, -78.1707754306064,
+ -70.9275913731519, -63.5493286289719, -56.1218639580552,
+ -48.6695532368043, -48.6695532368043, -56.1218639580552,
+ -63.5493286289719, -70.9275913731519, -78.1707754306064,
+ -84.7040547607168, -84.7040547607168, -78.1707754306064,
+ -70.9275913731519, -63.5493286289719, -56.1218639580552,
+ -48.6695532368043, -48.028885464146, -55.1100100086019,
+ -61.9916577943195, -68.5184407025597, -74.2857944271342,
+ -78.1707754306064, -78.1707754306064, -74.2857944271342,
+ -68.5184407025597, -61.9916577943196, -55.1100100086019,
+ -48.028885464146, -46.7407217209629, -53.1318721567636,
+ -59.0768040127068, -64.3459021628081, -68.5184407025597,
+ -70.9275913731519, -70.9275913731519, -68.5184407025597,
+ -64.3459021628081, -59.0768040127068, -53.1318721567636,
+ -46.7407217209629, -44.7910057014103, -50.2614918513234,
+ -55.083961998064, -59.0768040127068, -61.9916577943196,
+ -63.5493286289719, -63.5493286289719, -61.9916577943196,
+ -59.0768040127068, -55.083961998064, -50.2614918513234,
+ -44.7910057014103, -42.1582896974909, -46.5794639642222,
+ -50.2614918513234, -53.1318721567636, -55.1100100086019,
+ -56.1218639580552, -56.1218639580552, -55.1100100086019,
+ -53.1318721567636, -50.2614918513234, -46.5794639642222,
+ -42.1582896974909, -38.8150077347025, -42.1582896974909,
+ -44.7910057014103, -46.7407217209629, -48.028885464146,
+ -48.6695532368043, -48.6695532368043, -48.028885464146,
+ -46.7407217209629, -44.7910057014103, -42.1582896974909, -38.8150077347025 ;
+}
diff --git a/xios_examples/read_unstructured_domain_resample/resample.F90 b/xios_examples/read_unstructured_domain_resample/resample.F90
new file mode 100644
index 0000000..c4f5d80
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/resample.F90
@@ -0,0 +1,151 @@
+!-----------------------------------------------------------------------------
+! (C) Crown copyright 2020 Met Office. All rights reserved.
+! The file LICENCE, distributed with this code, contains details of the terms
+! under which the code may be used.
+!-----------------------------------------------------------------------------
+!> Read 2D data on a domain and resample using the axis_input.nc file
+!>
+program resample
+ use xios
+ use mpi
+
+ implicit none
+
+ integer :: comm = -1
+ integer :: rank = -1
+ integer :: npar = 0
+
+ call initialise()
+ call simulate()
+ call finalise()
+contains
+
+ subroutine initialise()
+
+ type(xios_date) :: origin
+ type(xios_date) :: start
+ type(xios_duration) :: tstep
+ integer :: mpi_error
+ integer :: ni_glo
+ integer :: nj_glo
+ integer :: ni
+ integer :: nj
+ integer :: ibegin
+ integer :: jbegin
+ integer :: nvertex
+ integer :: ni_glo_r
+ integer :: nj_glo_r
+ integer :: ni_r
+ integer :: nj_r
+ integer :: ibegin_r
+ integer :: jbegin_r
+
+ ! Arbitrary datetime setup, required for XIOS but unused
+ origin = xios_date(2022, 2, 2, 12, 0, 0)
+ start = xios_date(2022, 12, 13, 12, 0, 0)
+ tstep = xios_hour
+
+ ! Initialise MPI and XIOS
+ call MPI_INIT(mpi_error)
+
+ call xios_initialize('client', return_comm=comm)
+
+ call MPI_Comm_rank(comm, rank, mpi_error)
+ call MPI_Comm_size(comm, npar, mpi_error)
+
+ ! use the domain_check context to obtain sizing information on all arrays and
+ ! the domain decomposition for use in defining the main context interpretation
+ call xios_context_initialize('domain_check', comm)
+ call xios_set_time_origin(origin)
+ call xios_set_start_date(start)
+ call xios_set_timestep(tstep)
+ call xios_close_context_definition()
+
+ call xios_get_domain_attr("original_domain", &
+ ni_glo=ni_glo, nj_glo=nj_glo, &
+ ni=ni, nj=nj, &
+ ibegin=ibegin, jbegin=jbegin, nvertex=nvertex)
+ print *, 'original_domain: rank,ni_glo,nj_glo,ni,nj,ibegin,jbegin,nvertex ',rank,ni_glo,nj_glo,ni,nj,ibegin,jbegin,nvertex
+
+ call xios_get_domain_attr("resampled_domain", &
+ ni_glo=ni_glo_r, nj_glo=nj_glo_r, &
+ ni=ni_r, nj=nj_r, &
+ ibegin=ibegin_r, jbegin=jbegin_r)
+ print *, 'resampled_domain: rank,ni_glo,nj_glo,ni,nj,ibegin,jbegin ',rank,ni_glo_r,nj_glo_r,ni_r,nj_r,ibegin_r,jbegin_r
+
+ ! initialize the main context for interacting with the data.
+ call xios_context_initialize('main', comm)
+
+ call xios_set_time_origin(origin)
+ call xios_set_start_date(start)
+ call xios_set_timestep(tstep)
+
+ call xios_set_domain_attr("original_domain", &
+ ni_glo=ni_glo, nj_glo=nj_glo, &
+ ni=ni, nj=nj, &
+ ibegin=ibegin, jbegin=jbegin, nvertex=nvertex)
+ call xios_set_domain_attr("resampled_domain", &
+ ni_glo=ni_glo_r, nj_glo=nj_glo_r, &
+ ni=ni_r, nj=nj_r, &
+ ibegin=ibegin_r, jbegin=jbegin_r)
+
+ call xios_close_context_definition()
+
+ end subroutine initialise
+
+ subroutine finalise()
+
+ integer :: mpi_error
+
+ ! Finalise all XIOS contexts and MPI
+ call xios_set_current_context('domain_check')
+ call xios_context_finalize()
+ call xios_set_current_context('main')
+ call xios_context_finalize()
+ call MPI_Comm_free(comm, mpi_error)
+ call xios_finalize()
+ call MPI_Finalize(mpi_error)
+
+ end subroutine finalise
+
+ subroutine simulate()
+
+ type(xios_date) :: current
+ integer :: ts
+ integer :: lenx
+ integer :: lenrx
+ integer :: leny
+ integer :: lenry
+
+ ! Allocatable arrays, size is taken from input file
+ double precision, dimension (:,:), allocatable :: inodata
+ double precision, dimension (:,:), allocatable :: inedata
+
+ call xios_get_domain_attr('original_domain', ni=lenx, nj=leny)
+ call xios_get_domain_attr('resampled_domain', ni=lenrx, nj=lenry)
+
+ print *, 'original_domain: rank,lenx,leny ',rank,lenx,leny
+ print *, 'resampled_domain: rank,lenx,leny ',rank,lenrx,lenry
+
+ allocate ( inodata(leny, lenx) )
+ allocate ( inedata(lenry, lenrx) )
+
+ ! Load data from the input file
+ call xios_recv_field('odatain', inodata)
+ call xios_recv_field('edatain', inedata)
+
+ do ts=1, 1
+ call xios_update_calendar(ts)
+ call xios_get_current_date(current)
+ ! Send (copy) the original data to the output file.
+ call xios_send_field('odata', inodata)
+ ! Send (copy) the expected data to the output file.
+ call xios_send_field('edata', inedata)
+ enddo
+
+ deallocate (inodata)
+ deallocate (inedata)
+
+ end subroutine simulate
+
+end program resample
diff --git a/xios_examples/read_unstructured_domain_resample/test_resample_cases.py b/xios_examples/read_unstructured_domain_resample/test_resample_cases.py
new file mode 100644
index 0000000..ac333bc
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/test_resample_cases.py
@@ -0,0 +1,47 @@
+import copy
+import glob
+import netCDF4
+import numpy as np
+import os
+import subprocess
+import unittest
+
+import xios_examples.shared_testing as xshared
+
+this_path = os.path.realpath(__file__)
+this_dir = os.path.dirname(this_path)
+
+class TestResampleDomain(xshared._TestCase):
+ test_dir = this_dir
+ transient_inputs = ['domain_input.nc', 'domain_input_ugrid.nc']
+ transient_outputs = ['domain_output.nc', 'domain_output_ugrid.nc']
+ rtol = 0.7
+ mesh_file_cdl = 'mesh_C12.cdl'
+
+
+# A list of input function names where XIOS is known to produce different
+# output from the expected output data
+# for future investigation / ToDo
+# this is a dict, where the name of the key is the name of the test
+# to register as a known_failure (tname)
+# and the value is a string explaining the failure
+# this handles FAIL conditions but NOT ERROR conditions
+known_failures = {}
+
+# iterate over analytic function names
+for f in ['sinusiod', 'harmonic', 'vortex', 'gulfstream']:
+ # unique name for the test
+ tname = f'test_{f}'
+ # add the test as an attribute (function) to the test class
+ if os.environ.get('MVER', '').startswith('XIOS3/trunk'):
+ # these tests are hitting exceptions with XIOS3
+ # but not XIOS2, so skip for XIOS3 runner
+ setattr(TestResampleDomain, tname,
+ unittest.skip(TestResampleDomain.make_a_resample_test(f)))
+ elif tname in known_failures:
+ # set decorator @unittest.expectedFailure
+ setattr(TestResampleDomain, tname,
+ unittest.expectedFailure(TestResampleDomain.make_a_resample_test(f, nc_method='data_func', nclients=3)))
+ else:
+ setattr(TestResampleDomain, tname,
+ TestResampleDomain.make_a_resample_test(f, nc_method='data_func', nclients=3))
diff --git a/xios_examples/read_unstructured_domain_resample/xios.xml b/xios_examples/read_unstructured_domain_resample/xios.xml
new file mode 100644
index 0000000..9ec1df0
--- /dev/null
+++ b/xios_examples/read_unstructured_domain_resample/xios.xml
@@ -0,0 +1,22 @@
+
+
+
+
+ performance
+
+
+ 1.0
+
+
+
+
+ true
+
+ 100
+
+
+ true
+
+
+
+
diff --git a/xios_examples/shared_testing.py b/xios_examples/shared_testing.py
index 111d2ce..440c47e 100644
--- a/xios_examples/shared_testing.py
+++ b/xios_examples/shared_testing.py
@@ -5,6 +5,9 @@
import os
import subprocess
import unittest
+from pathlib import Path
+
+import xios_examples.gen_netcdf as gn
this_path = os.path.realpath(__file__)
this_dir = os.path.dirname(this_path)
@@ -21,6 +24,26 @@ class _TestCase(unittest.TestCase):
transient_outputs = []
rtol = 5e-03
executable = './resample.exe'
+ mesh_file_cdl = None
+
+ @classmethod
+ def make_netcdf(cls, inf, inputfile, nc_method='cdl_files'):
+ if nc_method == 'cdl_files':
+ # create a netCDF file from the `.cdl` input
+ subprocess.run(['ncgen', '-k', 'nc4', '-o', inputfile,
+ inf], cwd=cls.test_dir, check=True)
+ elif nc_method == 'data_func':
+ mesh_file_nc = None
+ if cls.mesh_file_cdl is not None:
+ mesh_file_nc = Path(cls.mesh_file_cdl).with_suffix('.nc')
+ # create a mesh netCDF file from the mesh `.cdl` file
+ subprocess.run(['ncgen', '-k', 'nc4', '-o', mesh_file_nc,
+ cls.mesh_file_cdl], cwd=cls.test_dir, check=True)
+ # create a netCDF file from an analytic function
+ cwd = Path(cls.test_dir)
+ if mesh_file_nc is not None:
+ mesh_file_nc = cwd/mesh_file_nc
+ gn.run(cwd/inputfile, func_str=inf, mesh_file=mesh_file_nc)
@classmethod
def run_mpi_xios(cls, nclients=1, nservers=1):
@@ -113,21 +136,21 @@ def tearDownClass(cls):
@classmethod
- def make_a_resample_test(cls, inf, nclients=1, nservers=1):
+ def make_a_resample_test(cls, inf, nc_method='cdl_files',
+ nclients=1, nservers=1):
"""
this function makes a test case and returns it as a test function,
suitable to be dynamically added to a TestCase for running.
"""
# always copy for value, don't pass by reference.
- infile = copy.copy(inf)
+ infcp = copy.copy(inf)
# expected by the fortran XIOS resample program's main.xml
inputfile = cls.transient_inputs[0]
outputfile = cls.transient_outputs[0]
def test_resample(self):
- # create a netCDF file from the `.cdl` input
- subprocess.run(['ncgen', '-k', 'nc4', '-o', inputfile,
- infile], cwd=cls.test_dir, check=True)
+ # create a netCDF file using nc_method
+ cls.make_netcdf(infcp, inputfile, nc_method=nc_method)
cls.run_mpi_xios(nclients=nclients, nservers=nservers)
# load the result netCDF file