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imod.mf6.TimeDiscretization#

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

Timing for all models of the simulation is controlled by the Temporal Discretization (TDIS) Package. https://water.usgs.gov/water-resources/software/MODFLOW-6/mf6io_6.0.4.pdf#page=17

Parameters

  • timestep_duration (float) – is the length of a stress period. (PERLEN)

  • n_timesteps (int, optional) – is the number of time steps in a stress period (nstp). Default value: 1

  • timestep_multiplier (float, optional) – is the multiplier for the length of successive time steps. The length of a time step is calculated by multiplying the length of the previous time step by timestep_multiplier (TSMULT). Default value: 1.0

  • validate ({True, False}) – Flag to indicate whether the package should be validated upon initialization. This raises a ValidationError if package input is provided in the wrong manner. Defaults to True.

__init__(timestep_duration, n_timesteps=1, timestep_multiplier=1.0, validate: bool = True)[source]#

Methods

__init__(timestep_duration[, n_timesteps, ...])

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.

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(mask)

Mask values outside of domain.

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

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

render()

sel()

to_netcdf(*args, **kwargs)

Write dataset contents to a netCDF file.

write(directory, name)

write_binary_griddata(outpath, da, dtype)

write_blockfile(pkgname, globaltimes, ...)

write_text_griddata(outpath, da, dtype)

Attributes

auxiliary_data_fields

dataset

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