Navigation
HYPE Documentation
Quick links to often-used pages:
HYPE links
HYPE OSC (model code)
HYPE Open data access
SMHI Hydrology Research Dep., main developer and maintainer of the HYPE model
Quick links to often-used pages:
HYPE OSC (model code)
HYPE Open data access
SMHI Hydrology Research Dep., main developer and maintainer of the HYPE model
Performance criteria that can be chosen as objective function for calibration in info.txt. The criteria are calculated for the model domain, based on performances at individual subbasins where observations exists. Four kinds of combination of the individual subbasins are used:
weightsub
).
Available performance criteria for domain-wide model evaluation are listed in the table below. The following criteria will use weighted average in case of flag set for weighted subbasins; MR2
, MRA
, MRE
, MRS
, MCC
, AKG
, MNW
, ASK
, TAU
, and MAR
. Equation definitions for criteria calculation are described here.
Note: Kling-Gupta efficiency criteria can only be used on positive variables.
Note: As described in info.txt, up to 100 performance criteria can be combined for model evaluation. However, for HYPE-internal computational reasons, criteria TAU
, MRA
, RRA
, and SRA
criteria must be defined as one of the first four criteria in info.txt (e.g. as crit 1 criterion MRA
).
Criterion ID | Description | Equation ID |
---|---|---|
MR2 | average of Nash-Sutcliffe efficiency for all subbasins with observations. | AVNSE |
MRE | average of the relative bias for all subbasins (Note: fraction, not %). | AVRB |
MRA | average value of subbasin values of efficiency (RA) similar to Nash-Sutcliffe with coefficient a instead of a square. | AVRA |
MCC | Pearson correlation coefficient, average of all subbasins with observations. | AVCC |
MRS | error in standard deviation, average of all subbasins with observations. | AVRSB |
MAR | average of absolute relative bias for all subbasins (Note: fraction, not %). | AVARB |
MNW | average of Nash-Sutcliffe efficiency adjusted for bias for all subbasins with observations. | AVNSEW |
AKG | average of Kling-Gupta efficiency for all subbasins with observations. | AVKGE |
ASK | average of rescaled Kling-Gupta efficiency for all subbasins with observations. | ASCKGE |
RR2 | regional Nash-Sutcliffe efficiency (all data combined in one long time series). | REGNSE |
RRE | regional relative bias (all data combined in one long time series). | REGRB |
RRA | regional efficiency similar to Nash-Sutcliffe with coefficient a instead of a square. | REGRA |
MD2 | median of Nash-Sutcliffe efficiency for all subbasins with observations. | MEDNSE |
MDA | median of all subbasins’ RA (efficiency similar to Nash-Sutcliffe with coefficient a instead of a square). | MEDRA |
MKG | median of all subbasins’ Kling-Gupta efficiency. | MEDKGE |
MNR | median of all subbasins’ normalised RMSE. | MEDNE |
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. | SPATNSE |
SRA | Spatial efficiency similar to Nash-Sutcliffe with coefficient a instead of a square. | SPATRA |
SNR | Spatial RMSE. | SPATRMSE |
SMB | Spatial mean absolute scaled bias on log transformed values. | SPATASB |
TAU | average of Kendall's rank correlation coefficient (Tau) value for all subbasins. | AVTAU |