Nash Sutcliffe Efficiency Calculator
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Please enter measured and simulated flow data in the text area below.
Nash sutcliffe efficiency calculator. Nselog calculates the log nash sutcliffe efficiency. Both can contain na values. A vector with simulated discharges of the same length as qobs. Qobs and qsim should have the same dimensions.
An efficiency of 10 corresponds to a perfect match between model and observed data whereas an efficiency less than 00 occurs when the observed mean is a better predictor than the model. A vector with observed discharges. Calculate the nash sutcliffe efficiency for vectors of log transformed modelled and observed values. Nash sutcliffe efficiencies range from inf to 1.
The used file in this video is downloadable on. Nash sutcliffe model efficiency coefficient the nash sutcliffe efficiency nse is a normalized statistic that determines the relative magnitude of the residual variance compared to the measured data variance nash and sutcliffe 1970. Where obsi refers to observation data for the desirable variable such as precipitation discharge sediment runoff and etc simi represents the value of simulation or output of the used model for the variable. Nash sutcliffe efficiency is computed as shown in the following equation.
Calculation of the nash sutcliffe efficiency. Nash sutcliffe efficiency indicates how well the plot of observed versus simulated data fits the 11 line. The nashsutcliffe efficiency is calculated as one minus the ratio of the error variance of the modeled time series divided by the variance of the observed time series. In the situation of a perfect model with an estimation error variance equal to zero the resulting nash sutcliffe efficiency equals 1 nse 1.
In many cases of hydrologic modeling one needs to compute r 2 and nash sutcliffe coefficients to calibratevalidate the model. The web based statistics module provides such a tool for fast computation of these coefficients.
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