The influence of autocorrelation on the ability to detect trend in hydrological series
By S. Yue, P. Pilon, Bob Phinney, G. Cavadias. 2002
2,007 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/6764f05eea04ebf25155e83fd641872babccf6f9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Sadık Alashan
- J. López‐Moreno
- S. Vicente‐Serrano
- Brent Henderson
- A. Sankarasubramanian
- M. A. Rahman
- Valerio Lucarini
- Yunsheng Lou
In Global and Planetary Change
- M. A. Rahman
- Yunsheng Lou
- N. Sultana
- M. Bayazit
- Bihrat Önöz
- Sadık Alashan
- J. López‐Moreno
- S. Vicente‐Serrano
Citations in the corpus
- Analysis and prediction of rainfall trends over Bangladesh using Mann–Kendall, Spearman’s rho tests and ARIMA model (2017, methodology): “Since the variance of the Mann–Kendall test statistic increases with the magnitude of serial correlation, positive serial correlation increases the Type I error when the time series has no trend (Yue et al. 2002b).”
- Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series (2020, background): “, 2012), streamflow (Douglas et al., 2000; Yue et al., 2002b; Cong et al., 2010; Sang et al., 2014; Serinaldi et al., 2018), lake level (Chebana et al.”
- Identification of sub-trends from hydro-meteorological series (2015, methodology): “This, again, is consistent with the finding of Yue et al. (2002b).”
- Rainfall and Temperature Trend Analysis by Mann–Kendall Test and Significance for Rainfed Cereal Yields in Northern Togo (2020, methodology): “Thus, the Trend-Free Pre-Whitening (TFPW) [36] approach which is a modified MK test was used.”
- Nonstationary influence of the North Atlantic Oscillation on European precipitation (2008, methodology): “Before calculating trends series were corrected for autocorrelation according to the procedure proposed by Yue et al. [2002]. Dotted lines enclose areas with significant trends (p < 0.”
- Prevailing climatic trends and runoff response from Hindukush–Karakoram–Himalaya, upper Indus Basin (2015, methodology): “In order to address this problem, Yue et al. (2002) have proposed a modified pre-whitening procedure, which is called trend free pre-whitening (TFPW).”
- Multi-decadal increases in dissolved organic carbon and alkalinity flux from the Mackenzie drainage basin to the Arctic Ocean (2016, methodology): “We used a Mann–Kendall test to analyze the significance of trends in monthly and annual fluxes over time, following the pre-whitening approach outlined in Yue et al (2002) to correct for potential serial autocorrelation.”
- Block bootstrap for Mann–Kendall trend test of serially dependent data (2012, methodology): “Series are detrended before applying the TFPW and VC tests as advised by the authors (Yue et al., 2002b; Yue and Wang, 2004).”