Long memory of rivers from spatial aggregation

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Trend analysis of climate time series: A review of methods (2019, background): “One example is river runoff, for which a hydrological explanation of long memory (i.e., the Hurst phenomenon) via spatial aggregation of AR(1) components in a river network was given by Mudelsee (2007).”
Factors influencing long range dependence in streamflow of European rivers (2014, background): “The positive correlation with catchment area is in accordance with Mudelsee (2007). No significant correlation was found between the time series length and the Hurst coefficient.”
Complexity–entropy analysis of daily stream flow time series in the continental United States (2014, background): “The weak relationship between H and the drainage area is coherent with the results discussed by Koscielny-Bunde et al. (2006) and Wang et al. (2007) and can be likely ascribed to the interbasin variability, which was not taken into account in these studies (Mudelsee 2007).”