A hydrological model skill score and revised R-squared

dc.contributor.authorOnyutha, Charles
dc.date.accessioned2022-03-07T12:57:05Z
dc.date.available2022-03-07T12:57:05Z
dc.date.issued2022-01-01
dc.description14p. ( 51-64p). : ill ( Col)en_US
dc.description.abstractDespite the advances in methods of statistical and mathematical modeling, there is considerable lack of focus on improving how to judge models’quality. Coefficient of determination (R2) is arguably the most widely applied ‘goodness-of-fit’ metric in modelling and prediction of environmental systems. However, known issues of R2 are that it: (i) can be low and high for an accurate and imperfect model, respectively; (ii) yields the same value when we regress observed on modelled series and vice versa; and (iii) does not quantify a model’s bias. A new model skill score E and revised R-squared (RRS) are presented to combine correlation, bias measure and capacity to capture variability. Differences between E and RRS lie in the forms of correlation and variability measure used for each metric. Acceptability of E and RRS was demonstrated through comparison of results from a large number of hydrological simulations. By applying E and RRS, the modeller can diagnostically identify and expose systematic issues behind model optimizations based on other ‘goodness-of-fits’ such as Nash–Sutcliffe efficiency (NSE) and mean squared error. Unlike NSE, which varies from ∞ to 1, E and RRS occur over the range 0–1. MATLAB codes for computing E and RRS are provided.en_US
dc.identifier.citationOnyutha, C. (2022). A hydrological model skill score and revised R-squared. Hydrology Research, 53(1), 51-64. https://iwaponline.com/hr/article/53/1/51/85310/A-hydrological-model-skill-score-and-revised-Ren_US
dc.identifier.issn2224-7955
dc.identifier.urihttps://iwaponline.com/hr/article/53/1/51/85310/A-hydrological-model-skill-score-and-revised-R
dc.identifier.urihttps://doi.org/10.2166/nh.2021.071
dc.identifier.urihttps://kyuspace.kyu.ac.ug/xmlui/handle/20.500.12504/822
dc.language.isoenen_US
dc.publisherHydrology Researchen_US
dc.relation.ispartofseries;Vol.53
dc.relation.ispartofseries;No.1
dc.subjectDistance correlation.en_US
dc.subjectHydrological models.en_US
dc.subjectModel performance evaluation.en_US
dc.subjectNash–Sutcliffe efficiency.en_US
dc.subjectRevised R-squared (RRS).en_US
dc.subjectR-squared.en_US
dc.titleA hydrological model skill score and revised R-squareden_US
dc.typeArticleen_US

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