GridModelResult

GridModelResult(
    self,
    data,
    *,
    name=None,
    item=None,
    quantity=None,
    aux_items=None,
)

Construct a GridModelResult from a file or xarray.Dataset.

Parameters

Name	Type	Description	Default
data	types.GridType	the input data or file path	required
name	str	The name of the model result, by default None (will be set to file name or item name)	None
item	str or int	If multiple items/arrays are present in the input an item must be given (as either an index or a string), by default None	None
quantity	Quantity	Model quantity, for MIKE files this is inferred from the EUM information	None
aux_items	Optional[list[int | str]]	Auxiliary items, by default None	None

Methods

Name	Description
extract	Extract ModelResult at observation positions

extract

GridModelResult.extract(observation, spatial_method=None)

Extract ModelResult at observation positions

Note: this method is typically not called directly, but through the match() method.

Parameters

Name	Type	Description	Default
observation	or	positions (and times) at which modelresult should be extracted	required
spatial_method	Optional[str]	method in xarray.Dataset.interp, typically either “nearest” or “linear”, by default None = ‘linear’	None

Returns

Name	Type	Description
	PointModelResult or TrackModelResult	extracted modelresult