climpred.classes.HindcastEnsemble.compute_uninitialized

HindcastEnsemble.compute_uninitialized(name=None, metric='pearson_r', comparison='e2o')

Verifies the uninitialized ensemble against observations/verification data.

This will automatically verify against all shared variables between the uninitialized ensemble and observations/verification data.

Parameters:

• name (str) – Short name of observations/verification data to compare to. If None, compare to all observations/verification data.
• metric (str, default 'pearson_r') – Metric to apply for verification.
• comparison (str, default 'e2o') – How to compare to the observations/verification data. (‘e2o’ for ensemble mean to observations/verification data. ‘m2o’ for each individual member to observations/verification data).
• max_dof (bool, default False) – If True, maximize the degrees of freedom for each lag calculation.

Returns:

Dataset of comparison results (if comparing to one observational product), or dictionary of Datasets with keys corresponding to observations/verification data short name.