Mesh¶
- class ESMF.api.mesh.Mesh(parametric_dim=None, spatial_dim=None, coord_sys=None, filename=None, filetype=None, convert_to_dual=None, add_user_area=None, meshname='', mask_flag=None, varname='')¶
The
Mesh
class is a Python wrapper object for the ESMF Mesh. The individual values of all coordinate and mask arrays are referenced to those of the underlying Fortran ESMF object.The ESMF library provides a class for representing unstructured grids called the
Mesh
.Fields
can be created on aMesh
to hold data.Fields
created on aMesh
can also be used as either the source or destination or both of a regrididng operation which allows data to be moved between unstructured grids. AMesh
is constructed of nodes and elements. A node, also known as a vertex or corner, is a part of aMesh
which represents a single point. Coordinate information is set in a node. An element, also known as a cell, is a part of a mesh which represents a small region of space. Elements are described in terms of a connected set of nodes which represent locations along their boundaries.Field
data may be located on either the nodes or elements of aMesh
.Refer to the Mesh Class of the ESMF Reference Manual for more information.
An unstructured
Mesh
can be created in two different ways, as aMesh
in memory, or from a SCRIP formatted or CF compliant UGRID file. The arguments for each type ofMesh
creation are outlined below.Created in-memory:
- The in-memory
Mesh
can be created manually in 3 steps: create the
Mesh
(specifyingparametric_dim
andspatial_dim
),add nodes,
add elements.
REQUIRED:
- Parameters
parametric_dim (int) – the dimension of the topology of the
Mesh
(e.g. aMesh
composed of squares would have a parametric dimension of 2 and aMesh
composed of cubes would have a parametric dimension of 3).spatial_dim (int) – the number of coordinate dimensions needed to describe the locations of the nodes making up the
Mesh
. For a manifold the spatial dimension can be larger than the parametric dimension (e.g. the 2D surface of a sphere in 3D space), but it cannot be smaller.
OPTIONAL:
Created from file:
Note that
Meshes
created from file do not use theparametric_dim
andspatial_dim
parameters.REQUIRED:
- Parameters
filename (str) – the name of NetCDF file containing the
Mesh
.filetype (FileFormat) – the input
FileFormat
of theMesh
.
OPTIONAL:
- Parameters
convert_to_dual (bool) – a boolean value to specify if the dual
Mesh
should be calculated. Defaults to False. This argument is only supported withSCRIP
.add_user_area (bool) – a boolean value to specify if an area property should be added to the mesh. This argument is only supported for
SCRIP
orESMFMESH
. IfNone
, defaults to False.meshname (str) – the name of the
Mesh
metadata variable in a UGRID file. This argument is only supported withUGRID
. IfNone
, defaults to the empty string.mask_flag (MeshLoc) – an enumerated integer that, if specified, tells whether a mask in a UGRID file should be defined on the
Mesh
. This argument is only supported withUGRID
. IfNone
, defaults to no masking.varname (str) – a variable name for the mask in a UGRID file if mask_flag is specified. This argument is only supported for
UGRID
. IfNone
, defaults to the empty string.
- property area¶
- property coords¶
- property mask¶
- property size¶
- Return type
A two element list of integers.
- Returns
The number of nodes and elements in the
Mesh
on the current processor.
- property size_owned¶
- Return type
A two element list of integers.
- Returns
The number of owned nodes and elements in the
Mesh
on the current processor.
- add_elements(element_count, element_ids, element_types, element_conn, element_mask=None, element_area=None, element_coords=None)¶
Add elements to a
Mesh
, this must be done after adding nodes.REQUIRED:
- Parameters
element_count (int) – the number of elements to add to the
Mesh
.element_ids (ndarray) – a numpy array of of shape
(element_count, 1)
to specify the element ids.element_types (ndarray) – a numpy array of
MeshElemType`s of shape ``(element_count, 1)`
to specify the element types.element_conn (ndarray) – a numpy array of shape
sum(element_types[:], 1)
to specify the connectivity of theMesh
. The connectivity array is constructed by concatenating the tuples that correspond to the element_ids. The connectivity tuples are constructed by listing the node_ids of each element in COUNTERCLOCKWISE order.
OPTIONAL:
- Parameters
element_mask (ndarray) – a numpy array of shape
(element_count, 1)
containing integer values to specify masked elements. The specific values that are masked are specified in theRegrid
constructor.element_area (ndarray) – a numpy array of shape
(element_count, 1)
to specify the areas of the elements.element_coords (ndarray) – a numpy array of shape
(element_count, 1)
to specify the coordinates of the elements.
- add_nodes(node_count, node_ids, node_coords, node_owners)¶
Add nodes to a
Mesh
, this must be done before adding elements.- Parameters
node_ids (ndarray) – a numpy array of shape (node_count, 1) to specify the node_ids.
node_coords (ndarray) – a numpy array of shape (spatial_dim*node_count, 1) to specify the coordinates of the
Mesh
. The array should be constructed by concatenating the coordinate tuples into a numpy array that correspond to node_ids.node_owners (ndarray) – a numpy array of shape (node_count, 1) to specify the rank of the processor that owns each node.
- free_memory()¶
Free memory associated with the creation of a
Mesh
which is no longer needed for ongoing operations.
- get_coords(coord_dim, meshloc=<MeshLoc.NODE: 0>)¶
Return a numpy array of coordinates at a specified
Mesh
location (coordinates can only be returned for theMesh
NODE
s at this time). The returned array is NOT a copy, it is directly aliased to the underlying memory allocated by ESMF.REQUIRED:
- Parameters
coord_dim (int) – the dimension number of the coordinates to return: e.g.
[x, y, z] = (0, 1, 2)
, or[lat, lon] = (0, 1)
OPTIONAL:
- The in-memory