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The approach is employed independently to monthly streamflow time series observed over a period of 53 years (January 1950 December 2002) from each of 639 stations in the contiguous United States.
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Monthly streamflow forecasts with long lead time are being sought by water managers in Australia.
By applying empirical fluctuation processes to monthly standardized PDO, Niño 3.4, precipitation and streamflow time series, the occurrence of a regime shift in the streamflow series, consistent with that for PDO, but highly dependent on the latitude of particular watersheds, is shown.
To compare them to gaged mean monthly streamflow, all grid cells upstream of the streamgage are summed for each month to create time series for BCMrun and BCMrch.
Moreover, the monthly water temperature is predicted with more accuracy than monthly streamflow.
Regionalization using mean annual and mean monthly streamflow values was used to delineate hydrologic regimes with distinct temporal flow variations.
BJP ensemble forecasts of monthly streamflow volumes are generally reliable in ensemble spread.
The NSCE value for monthly streamflow over a period of 22 years was 0.79.
Finally, cloud forest conversion to pasture does not promote significant monthly streamflow change.
This study develops configurational entropy theory (CET) for monthly streamflow forecasting.
Skilful forecasting of monthly streamflow in intermittent rivers is a challenging task in stochastic hydrology.
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