NSE: Nash-Sutcliffe Efficiency

In aemon-j/gotmtools: Tools to work with GOTM input data and also process the output data

Nash-Sutcliffe Efficiency

Description

Nash-Sutcliffe efficiencies (Nash and Sutcliffe, 1970) range from -Inf to 1. An efficiency of 1 (NSE = 1) corresponds to a perfect match of modeled to the observed data. An efficiency of 0 (NSE = 0) indicates that the model predictions are as accurate as the mean of the observed data, whereas an efficiency less than zero (-Inf < NSE < 0) occurs when the observed mean is a better predictor than the model. Essentially, the closer the model efficiency is to 1, the more accurate the model is.

Usage

NSE(sim, obs, na.rm = FALSE)

Arguments

sim	numeric 'data.frame', 'matrix' or 'vector' with simulated values
obs	numeric 'data.frame', 'matrix' or 'vector' with observed values
na, rm	boolean; a logical value indicating whether NA values should be stripped before the computation proceeds. Defaults to FALSE

Value

data frame of normalized modelled depths

aemon-j/gotmtools documentation built on April 12, 2024, 4:35 p.m.