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climpred.utils.convert_valid_time_lead_to_init_lead

climpred.utils.convert_valid_time_lead_to_init_lead#

climpred.utils.convert_valid_time_lead_to_init_lead(skill: Dataset | DataArray) → Dataset | DataArray[source]#

Convert data(valid_time,lead) to data(init,lead). :Parameters: skill with dimensions valid_time and lead and coordinate init (valid_time, lead)

Returns:

skill with dimensions init and lead

Examples

Calculate skill at each init, i.e. do not reduce init and set dim=[]. >>> skill_init_lead = HindcastEnsemble.sel( … lead=[1, 2, 3], init=slice(“1990”, “2000”) … ).verify(metric=”rmse”, comparison=”e2o”, dim=[], alignment=”same_verifs”) >>> skill_init_lead.SST <xarray.DataArray ‘SST’ (lead: 3, init: 11)> array([[ nan, nan, 0.07668081, 0.06826989, 0.08174487,

0.06208846, 0.1537402 , 0.15632479, 0.01302786, 0.06343324, 0.13758603],

[ nan, 0.07732193, 0.06369554, 0.08282175, 0.0761979 ,
0.20424354, 0.18043845, 0.06553673, 0.00906034, 0.13045045,

nan],

[0.06212777, 0.11822992, 0.15282457, 0.05752934, 0.20133476,
0.19931679, 0.00987793, 0.06375334, 0.07705835, nan,

nan]])

Coordinates:

  • init (init) object 1990-01-01 00:00:00 … 2000-01-01 00:00:00

  • lead (lead) int32 1 2 3 valid_time (lead, init) object 1991-01-01 00:00:00 … 2003-01-01 00:00:00 skill <U11 ‘initialized’

Attributes:

units: C

>>> assert climpred.utils.convert_valid_time_lead_to_init_lead(
...     climpred.utils.convert_init_lead_to_valid_time_lead(skill_init_lead)
... ).equals(skill_init_lead)

See also

pydata/xarray#6943 climpred.utils.convert_init_lead_to_valid_time_lead()

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