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Available performance criteria

Performance criteria for the model domain, based on performances at individual subbasins where observations exists.

average/median: criteria calculated in subbasins individually, and then combined (equal weight to each station, irrespective of time series length)
regional: criteria calculated on a combined long time series over all subbasins (thus weighted by data lengths)
spatial: time series att each subbasin is collapsed to a single long-term average, these averages are then combined to a “spatial series” over all subbasins, and the criteria calculated over those

Note: TAU and any of the RA criteria only can be calculated as the 4 first criteria.

Criterion ID	Description
`MR2`	average of Nash-Sutcliffe efficiency for all subbasins with observations.
`MRE`	average of the relative bias for all subbasins (Note: fraction, not %).
`MRA`	average value of subbasin values of efficiency (RA) similar to Nash-Sutcliffe with coefficient a instead of a square.
`MCC`	Pearson correlation coefficient, average of all subbasins with observations.
`MRS`	error in standard deviation, average of all subbasins with observations.
`MAR`	average of absolute relative bias for all subbasins (Note: fraction, not %).
`RR2`	regional Nash-Sutcliffe efficiency (all data combined in one long time series).
`RRE`	regional relative bias (all data combined in one long time series).
`RRA`	regional efficiency similar to Nash-Sutcliffe with coefficient a instead of a square.
`MD2`	median of Nash-Sutcliffe efficiency for all subbasins with observations.
`MDA`	median of all subbasins’ RA (efficiency similar to Nash-Sutcliffe with coefficient a instead of a square).
`MKG`	median of all subbasins’ Kling-Gupta efficiency.
`MNR`	median of all subbasins’ normalised RMSE.
`SR2`	spatial Nash-Sutcliffe efficiency calculated using annual means for all subbasins (requires at least 5 years and 5 subbasins with data) to calculate the Nash-Sutcliffe efficiency.
`SRA`	Spatial efficiency similar to Nash-Sutcliffe with coefficient a instead of a square.
`TAU`	average of Kendall's rank correlation coefficient (Tau) value for all subbasins.

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