Kling-gupta efficiency计算公式
Web维普中文期刊服务平台,是重庆维普资讯有限公司标准化产品之一,本平台以《中文科技期刊数据库》为数据基础,通过对国内出版发行的15000余种科技期刊、7000万篇期刊全文进行内容组织和引文分析,为高校图书馆、情报所、科研机构及企业用户提供一站式文献服务。 WebNov 1, 2024 · The Kling-Gupta efficiency (KGE), which combines the three components of Nash-Sutcliffe efficiency (NSE) of model errors (i.e. correlation, bias, ratio of variances or …
Kling-gupta efficiency计算公式
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WebAug 30, 2024 · The Kling and Gupta efficiency (KGE) is a score used in hydrology to evaluate flow simulation compared to observations. In order to force the evaluation on the low flows, some authors used the log-transformed flow to calculate the KGE. In this technical note, we show that this transformation should be avoided because it produced numerical flaws ... 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 …
WebMay 1, 2024 · The KGE (Kling-Gupta efficiency) and NSE (Nash-Sutcliffe efficiency) coefficients were also computed to measure the accuracy of the synthetic data [55, 56] using the following Equations (18) and ... WebThe Nash–Sutcliffe 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 …
WebKling Gupta efficiency; Mean Absolute Error; Mean Absolute Percentage Error; Mean Bias Error; Nash Sutcliffe model Efficiency coefficient; Normalized Root Mean Square Error; … WebAug 4, 2024 · The ideal value for model efficiency is BI = 0; although this condition is necessary, but not enough. The second measure is the mean square error (MSE), (2) The …
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WebKling-Gupta efficiencies range from -Inf to 1. Essentially, the closer to 1, the more accurate the model is. Value. If out.type=single: numeric with the Kling-Gupta efficiency between … blackland bbq roscoe txWebOct 17, 2024 · j) calculation of Kling–Gupta efficiency (KGE) and corresponding 95% confidence interval. The 1:1 and series plots help to visually inspect the similarity degree of the two series, and detecting which observations are best or worst predicted by the model. ganglionic cyst on the wristWebThe 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 evaluating the goodness-of-fit ofn-vectors of observations, ey= [ye 1 ey 2... ey n]⊤, and corresponding model simulations, y(θ) = [y 1(θ) y 2(θ) ... y n(θ)]⊤ ... ganglionic layer of retinaWebThe KGE is a normalized, dimensionless, model efficiency that measures general agreement. It presents accuracy, precision, and consistency components. It is symmetric … ganglionic fibersWebSep 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 … ganglionic nervous systemWebMay 1, 2024 · The Kling-Gupta efficiency, hereafter referred to as KG efficiency rather than its common abbreviation KGE, proposed by Gupta et al. (2009) has become a widely used … blackland berry farm royse city txWebFeb 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 ... blackland bourbon pecan