WebMar 18, 2024 · The Kling–Gupta efficiency (KGE′) statistic proposed by Gupta et al. and modified by Kling et al. was also used in this study, which balances the contributions of the correlation, bias and variability terms. The KGE’ can be calculated as: KGE ′ = 1 ... WebRAL Home Research Applications Laboratory
KGE function - RDocumentation
WebSep 2, 2024 · Two of the most widely used metrics are Nash-Sutcliffe efficiency (NSE) and the Kling-Gupta efficiency (KGE). Remarkably, this is the first study to provide a … WebThe Kling-Gupta efficiency (KGE) integrates the timing (Pearson correlation coefficient), variability (standard deviation) and magnitude (mean) of a catchment's runoff response and has become a popular objective function among hydrologists. The calculation of KGE is based on the assumptions of data linearity and normality, as well as the ... shirley lopez
Kling-Gupta Model Efficiency (KGE). — KGE • metrica - GitHub Pages
WebFeb 1, 2024 · In view of this, Gupta et al. (2009) and Kling et al. (2012) recommended the Kling-Gupta efficiency (KGE) in order to circumvent the connections between the variation coefficient and bias and ratios. (4) K G E = 1 - r c - 1 2 + β K G E - 1 2 + γ K G E - 1 2 where, rc is the linear Pearson correlation coefficient, β K G E is the bias and γ K ... WebSep 2, 2024 · The Nash-Sutcliffe efficiency (NSE) and the Kling-Gupta efficiency (KGE) are now the most widely used indices in hydrology for evaluation of the goodness of fit between model simulations S and observations O.We introduce two theoretical (probabilistic) definitions of efficiency, E and E′, based on the estimators NSE and KGE, respectively, … WebOct 24, 2024 · Kling-Gupta efficiency (KGE) 计算及一个的改进的KGE指标的Pytorch实现. This goodness-of-fit measure was developed by Gupta et al. (2009) to provide a … shirley long island crime