Change detection in hydrological records—a review of the methodology / Revue méthodologique de la détection de changements dans les chroniques hydrologiques

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On Rigorous Drought Assessment Using Daily Time Scale: Non-Stationary Frequency Analyses, Revisited Concepts, and a New Method to Yield Non-Parametric Indices (2017, background): “However, the use of purely statistical trend results might be meaningless sometimes [41].”
Bootstrap Pettitt test for detecting change points in hydroclimatological data: case study of Itaipu Hydroelectric Plant, Brazil (2019, methodology): “…2016, IPCC 1992, 1995, 2001, 2007, 2014, Kundzewicz and Robson 2000, National Academy of Sciences 2002, 2010, Alley et al. 2003, Fu et al. 2004, Kundzewicz and Robson 2004, Loucks et al. 2005, UNDP 2007, Zhang et al. 2007, Reis and Yilmaz 2008, Rosenzweig et al. 2008, Dailidiené et al. 2011,…”
To prewhiten or not to prewhiten in trend analysis? (2007, background): “Kundzewicz & Robson (2004) reviewed the methodology for trend detection in hydrological records.”
Block bootstrap for Mann–Kendall trend test of serially dependent data (2012, positive): “It is a robust and flexible technique that is as powerful as the most powerful parametric tests and requires few assumptions to be made about the data (Kundzewicz and Robson, 2004).”