pyissm.model.classes.misfit

class pyissm.model.classes.misfit(other=None)

Bases: manage_state

Misfit parameters class for ISSM.

This class encapsulates parameters for misfit calculations in the ISSM (Ice Sheet System Model) framework. Misfit functions measure the difference between model predictions and observations, and are essential for model validation, calibration, and inverse problem solutions.

Parameters:: other (any, optional) – Any other class object that contains common fields to inherit from. If values in other differ from default values, they will override the default values.

name

Identifier for this misfit response.

Type:: str, default=’’

definitionstring

String that identifies this output definition uniquely, from “Outputdefinition[1-10]”.

Type:: str, default=’’

model_string

String for field that is modeled.

Type:: str, default=’’

observation

Observed field that we compare the model against.

Type:: ndarray, default=nan

observation_string

Observation string for identification purposes.

Type:: str, default=’’

timeinterpolation

Interpolation routine used to interpolate misfit between two time steps.

Type:: str, default=’nearestneighbor’

local

Is the response local to the elements, or global?

Type:: int, default=1

weights

Weights (at vertices) to apply to the misfit.

Type:: ndarray, default=nan

weights_string

String for weights for identification purposes.

Type:: str, default=’’

cumulated

Cumulated misfit value.

Type:: float, default=nan

__init__(self, other=None): Initializes the misfit parameters, optionally inheriting from another instance.

__repr__(self): Returns a detailed string representation of the misfit parameters.

__str__(self): Returns a short string identifying the class.

marshall_class(self, fid, prefix, md=None): Marshall parameters to a binary file

Examples

md.misfit = pyissm.model.classes.misfit() md.misfit.name = ‘velocity_misfit’ md.misfit.model_string = ‘Vel’ md.misfit.observation = observed_velocity md.misfit.weights = velocity_weights md.misfit.timeinterpolation = ‘linear’

__init__(other=None)

Initialize the instance with optional field inheritance.

Parameters:: other (object, optional) – Another instance to inherit field values from. If provided, any fields in the current instance that differ from the default values and exist in ‘other’ will be replaced with the values from ‘other’.

Notes

The inheritance process:

Iterates through all attributes of the current instance

Checks if the same attribute exists in the ‘other’ instance

Compares field values using _fields_equal()

If different, replaces the current value with the ‘other’ value

This enables the common ISSM pattern where classes can inherit configurations from existing instances while maintaining their default values for unspecified fields.

Methods

`__init__`([other])	Initialize the instance with optional field inheritance.
`check_consistency`(md, solution, analyses)	Check consistency of the [misfit.misfit] parameters.
`issm_enum_string`()	Default ISSM C++ enum string used during marshalling.
`marshall_class`(fid, prefix[, md])	Marshall [misfit.misfit] parameters to a binary file.

check_consistency(md, solution, analyses)

Check consistency of the [misfit.misfit] parameters.

Parameters:

md (pyissm.model.Model) – The model object to check.
solution (str) – The solution name to check.
analyses (list of str) – List of analyses to check consistency for.

Returns:

md – The model object with any consistency errors noted.

Return type:

pyissm.model.Model

marshall_class(fid, prefix, md=None)

Marshall [misfit.misfit] parameters to a binary file.

Parameters:

fid (file object) – The file object to write the binary data to.
prefix (str) – Prefix string used for data identification in the binary file.
md (ISSM model object, optional.) – ISSM model object needed in some cases.

Return type:

None