weatherbench2.metrics.EnsembleMeanMSE

class weatherbench2.metrics.EnsembleMeanMSE(ensemble_dim='realization')

Mean square error between the ensemble mean and ground truth.

Suppose we have a size n ensemble, {Xₖ}, each an iid copy of X having with mean μ and variance σ². Let Y be the ground truth. This class estimates E(X - Y)² with a bias equal to σ² / n.

Parameters:: ensemble_dim (str) –

__init__(ensemble_dim='realization')

Parameters:: ensemble_dim (str) –
Return type:: None

Methods

`__init__`([ensemble_dim])
`compute`(forecast, truth[, region, skipna])	Evaluate this metric on datasets with full temporal coverages.
`compute_chunk`(forecast, truth[, region, skipna])	EnsembleMeanRMSE, averaged over space, for a time chunk of data.

Attributes

ensemble_dim