Kling-gupta efficiency coefficient
WebThe Kling–Gupta efficiency (KGE; Eq. 2, Gupta et al., 2009) is based on a decomposition of NSE into its constitutive components (correlation, variability bias and mean bias), … WebAug 4, 2024 · Among the classical statistical efficiency formulations, the most widely used ones are bias (BI), mean square error (MSE), correlation coefficient (CC) and Nash …
Kling-gupta efficiency coefficient
Did you know?
WebThe KGE is a normalized, dimensionless, model efficiency that measures general agreement. It presents accuracy, precision, and consistency components. It is symmetric … WebAbstract. A traditional metric used in hydrology to summarize model performance is the Nash -Sutcliff e Efficiency (NSE). Increasingly an alternative metric, the Kling -Gupta …
WebKling-Gupta efficiency can range from -infinity to 1. An efficiency of 1 (E = 1) corresponds to a perfect match of model to reference data. Essentially, the closer the model efficiency is … WebMar 21, 2024 · The sensitivity analysis led us to identify fifteen influential parameters, which were selected for calibration. The optimized parameters gave the best model performance on the basis of the high Nash–Sutcliffe Efficiency (NSE), Kling–Gupta Efficiency (KGE), and determination coefficient (R 2 ).
The Nash–Sutcliffe Coefficient masks important behaviors that if re-cast can aid in the interpreted as the different sources of model behavior in terms of bias, random, and other components. The alternate "Kling-Gupta" efficiency does not have the same bounds as the NSE WebUsing such quality control approaches, the behavior of the natural hydrological system is well represented by the model which achieves high skill metric values of the monthly streamflow, with about 83% and 56% of the 330 hydrological stations possessing NSE (Nash-Sutcliffe efficiency coefficient) and KGE (Kling-Gupta efficiency coefficient)> 0. ...
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 theoretical definition and treatment of these indices enabling controlled Monte Carlo experiments to …
WebMar 7, 2024 · median of Kling-Gupta efficiency (MKG in info.txt) for subbasins: MEDKGE: akg: average of Kling-Gupta efficiency for subbasins: AVKGE: asckg: average of Kling-Gupta efficiency rescaled to interval [-1,1] (C2M criteria applied to KGE, Mathevet et al. 2006) ASCKGE: mare: average of absolute relative bias for subbasins (Note: fraction. not %) … tsx refWebThe coefficient of persistence compare the predictions of the model with the predictions obtained by assuming that the process is a Wiener process (variance increasing linearly with time), in which case, the best estimate for the future is given by the latest measurement (Kitadinis and Bras, 1980). phoebe baker law and order svuWebJun 30, 2024 · The Kling–Gupta efficiency was developed by Gupta et al. (2009) and Kling et al. (2012) to provide a diagnostically interesting decomposition of the Nash–Sutcliffe efficiency that facilitates the analysis of the relative importance of the components of this efficiency (correlation, bias and variability) in the context of hydrological modelling. tsx renewable energy indexWebThe Kling-Gupta efficiency, hereafter referred to as KG efficiency rather than its common abbrevi-ation KGE, proposed by Gupta et al. (2009) has become a widely used metric for … phoebe barton authorWebStreamflow and water levels were modeled with Kling-Gupta efficiency coefficient above 0.90 at most hydrologic stations and 38 times faster than traditional 1-D/2-D coupled models The proposed machine learning-based … tsx rhtWebMay 9, 2024 · The Nash–Sutcliffe model efficiency coefficient (NSE) is used to assess the predictive skill of hydrological models. It is defined as: N S E = 1 − ∑ t = 1 T ( Q o t − Q m t) 2 ∑ t = 1 T ( Q o t − Q ― o) 2 where Q ― o is the mean of observed discharges, and Q m is modeled discharge. Q o t is observed discharge at time t. [1] phoebe bariatrics albany gaWebAug 30, 2024 · Abstract. Log-transformed discharge is often used to calculate performance criteria to better focus on low flows. This prior transformation limits the heteroscedasticity of model residuals and was largely applied in criteria based on squared residuals, like the Nash–Sutcliffe efficiency (NSE). In the recent years, NSE has been shown to have … phoebe bariatrics americus ga