climpred.metrics._rank_histogram¶

climpred.metrics._rank_histogram(forecast, verif, dim=None, **metric_kwargs)[source]¶

Rank histogram or Talagrand diagram.

Parameters

forecast (xr.object) – Raw forecasts with member dimension.
verif (xr.object) – Verification data without member dim.
dim (list or str) – Dimensions to aggregate. Requires to contain member and at least one additional dimension.

Details:

perfect

flat distribution

See also

rank_histogram()

Example

>>> hindcast.verify(metric='rank_histogram', comparison='m2o',
        dim=['member','init'], alignment='same_verifs')
>>> perfect_model.verify(metric='rank_histogram', comparison='m2c',
        dim=['member','init'])