Table 3.
Model evaluation statistics for calibrated grassland types. Statistics are standard regression parameters [slope, offset and coefficient of determination (R2)], Nash–Sutcliffe efficiency (NSE), percent BIAS (PBIAS), root mean square error (RMSE) and RMSE observations standard deviation ratio (RSR). Model performance was classified according to Moriasi et al. (2007) (+++ very good, ++ good, + satisfactory, − unsatisfactory) using NSE and RSR.
| Model evaluation statistics | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Standard regression | |||||||||
| Grassland type | Slope | Offset | R2 | NSE | PBIAS | RMSE | RSR | ||
| L1 | 0.87 | 3.81 | 0.84 | 0.81 | +++ | 1.86 | 1.61 | 0.44 | +++ |
| L2 | 0.95 | 2.01 | 0.81 | 0.79 | +++ | −0.14 | 1.46 | 0.46 | +++ |
| L3 | 1.04 | −1.07 | 0.82 | 0.76 | +++ | −1.08 | 2.24 | 0.49 | +++ |
| L4 | 0.71 | 10.42 | 0.69 | 0.54 | + | 3.52 | 2.47 | 0.68 | + |
| L5 | 0.71 | 12.08 | 0.66 | 0.48 | − | 2.19 | 1.67 | 0.72 | − |
| S2 | 0.52 | 17.32 | 0.76 | 0.66 | ++ | −2.01 | 2.55 | 0.58 | ++ |
| S6 | 0.78 | 8.23 | 0.92 | 0.89 | +++ | −1.03 | 1.29 | 0.33 | +++ |
| S8 | 0.74 | 11.38 | 0.85 | 0.84 | +++ | −0.09 | 1.47 | 0.40 | +++ |