All models, by definition, are wrong but can still be useful if they are close enough to reality. Thus, we provide model performance in different performance metrics and hydrograph figures so that users can judge if the model performance is good enough before using the model results. GM-HYPE results are compared to time-series of either in-situ measured discharge or altimetry-derived water levels, wherever such data is available.
The HYPE results are compared to time-series of in-situ river-flow measured from gauges, wherever such data is available. For each geographical domain numerous monitoring stations are available, although most catchments remain unmonitored. Several statistical metrics are used to estimate model performance in each site.
Performance metrics: Interactive web for displaying performance metrics of validated discharge stations. Performance metric options:
- Relative error in mean (RE)
- Relative error in standard error (RESD)
- Correlation coefficient (CC)
- Kling-Gupta Efficiency (KGE)
- NSE (Nash Sutcliffe Efficiency)