ve¶
- HydroErr.HydroErr.ve(simulated_array: ndarray[tuple[Any, ...], dtype[floating | integer]] | Sequence[int | float], observed_array: ndarray[tuple[Any, ...], dtype[floating | integer]] | Sequence[int | float], replace_nan: float | None = None, replace_inf: float | None = None, remove_neg: bool = False, remove_zero: bool = False) floating[Any]¶
Compute the Volumetric Efficiency (VE).
\[VE = 1-\frac{\sum_{i=1}^{n} |S_i - O_i|}{\sum_{i=1}^{n} O_i}\]Range: 0 ≤ VE < 1 smaller is better, does not indicate bias.
Notes: Represents the error as a percentage of flow.
- Parameters:
simulated_array – An array of simulated data from the time series.
observed_array – An array of observed data from the time series.
replace_nan – If given, indicates which value to replace NaN values with in the two arrays. If None, when a NaN value is found at the i-th position in the observed OR simulated array, the i-th value of the observed and simulated array are removed before the computation.
replace_inf – If given, indicates which value to replace Inf values with in the two arrays. If None, when an inf value is found at the i-th position in the observed OR simulated array, the i-th value of the observed and simulated array are removed before the computation.
remove_neg – If True, when a negative value is found at the i-th position in the observed OR simulated array, the i-th value of the observed AND simulated array are removed before the computation.
remove_zero – If true, when a zero value is found at the i-th position in the observed OR simulated array, the i-th value of the observed AND simulated array are removed before the computation.
- Return type:
The Volumetric Efficiency value.
Examples
>>> import HydroErr as he >>> import numpy as np
>>> sim = np.array([5, 7, 9, 2, 4.5, 6.7]) >>> obs = np.array([4.7, 6, 10, 2.5, 4, 7]) >>> he.ve(sim, obs) 0.8947368421052632
References
Criss, R.E., Winston, W.E., 2008. Do Nash values have value? Discussion and alternate proposals. Hydrological Processes 22(14) 2723.