2022
DOI: 10.1016/j.jhydrol.2022.128668
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Global-scale characterization of streamflow extremes

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Cited by 5 publications
(2 citation statements)
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References 74 publications
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“…The context for these changing hydrologic extremes is a variable and changing climate. Global average surface temperatures have risen by 1.1 °C since the late nineteenth century [3,7,8], mainly due to anthropogenic climate change. According to the World Meteorological Organization (WMO), the warmest years on record have occurred since 2015, with the top three warmest years being 2016, 2019, and 2020 [9].…”
Section: Introductionmentioning
confidence: 99%
“…The context for these changing hydrologic extremes is a variable and changing climate. Global average surface temperatures have risen by 1.1 °C since the late nineteenth century [3,7,8], mainly due to anthropogenic climate change. According to the World Meteorological Organization (WMO), the warmest years on record have occurred since 2015, with the top three warmest years being 2016, 2019, and 2020 [9].…”
Section: Introductionmentioning
confidence: 99%
“…Investigating streamflow inequality globally requires a globally representative streamflow dataset and other datasets, which are not easily available. Besides, a study with a large-sample approach is expected to provide more robust insights on catchment behavior that can be widely accepted (Addor et al, 2020;Kuntla et al, 2022).…”
Section: Introductionmentioning
confidence: 99%