imod.mf6.AdvectionCentral#

class imod.mf6.AdvectionCentral(*_, **__)[source]#

The central-in-space weighting scheme is based on a simple distance-weighted linear interpolation between the center of cell n and the center of cell m to calculate solute concentration at the shared face between cell n and cell m. Although central-in-space is a misnomer for grids without equal spacing between connected cells, it is retained here for consistency with nomenclature used by other MODFLOW-based transport programs, such as MT3D. Note: all constructor arguments will be ignored

__init__(scheme: str = 'central')[source]#

Methods

__init__([scheme])

cleanup(dis)

clip_box([time_min, time_max, layer_min, ...])

Clip a package by a bounding box (time, layer, y, x).

copy()

from_file(path, **kwargs)

Loads an imod mf6 package from a file (currently only netcdf and zarr are supported).

get_non_grid_data(grid_names)

This function copies the attributes of a dataset that are scalars, such as options.

get_regrid_methods()

is_clipping_supported()

is_empty()

Returns True if the package is empty- for example if it contains only no-data values.

is_grid_agnostic_package()

is_regridding_supported()

is_splitting_supported()

isel()

mask(_)

The mask method is irrelevant for this package , instead this method retuns a copy of itself.

regrid_like(target_grid, regrid_cache[, ...])

Creates a package of the same type as this package, based on another discretization.

render(directory, pkgname, globaltimes, binary)

sel()

to_netcdf(*args[, mdal_compliant, crs])

Write dataset contents to a netCDF file.

write(pkgname, globaltimes, directory[, ...])

Write package to file

write_binary_griddata(outpath, da, dtype)

write_blockfile(pkgname, globaltimes, ...)

write_text_griddata(outpath, da, dtype)

Attributes

auxiliary_data_fields

dataset