Untenable nonstationarity: An assessment of the fitness for purpose of trend tests in hydrology

•Trend null hypothesis tests are not devised for exploratory analysis of hydrological data.•Adjusting procedures accounting for correlation in trend tests are insufficient or flawed.•Inductive trend tests cannot provide information on the nonstationarity of a process without a priori deductive argum...

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Veröffentlicht in:	Advances in water resources 2018-01, Vol.111, p.132-155
Hauptverfasser:	Serinaldi, Francesco, Kilsby, Chris G., Lombardo, Federico
Format:	Artikel
Sprache:	eng
Schlagworte:	Cognition Correlation Data processing Detection Empirical analysis Epistemology Ergodicity Fitness Flaw detection Frequency analysis History Hydrologic analysis Hydrologic cycle Hydrological cycle Hydrology Hydrometeorology Hypothesis test interpretation Mathematical models Meteorological literature Modelling Nonstationarity Null hypothesis Procedures Records Rivers Sequences Statistical analysis Statistical methods Stochastic processes Stream discharge Stream flow Stream flow trends in the United States Studies Tests Time series Trend attribution Trend hypothesis tests Trends
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