https://piahs.copernicus.org/articles/378/43/2018/piahs-378-43-2018.html
PIAHS - Impacts of landcover changes on streamflows in the Middle Zambezi Catchment within Zimbabwe
Abstract. We investigate the impacts of land cover changes on the river flows of the Middle Zambezi tributary catchments in Zimbabwe. Trend analysis on...
https://experts.colorado.edu/display/pubid_17396
Long-Range Forecasting of Colorado Streamflows Based on Hydrologic, Atmospheric, and Oceanic Data |...
https://arapahoebasin.blogspot.com/2013/05/streamflows_14.html
Al's Blog: Streamflows
More snow nerd stuff. Actually, the attached links bridge my two favorite passions, snow / skiing and river running. The first link detail...
s blogal
https://apps.ecology.wa.gov/publications/SummaryPages/1103028.html
Wenatchee Watershed Planning Area: Prediction of Gaged Streamflows by Modeling
watershed planningwenatcheeareapredictiongaged
https://hess.copernicus.org/articles/17/579/2013/
HESS - Improving statistical forecasts of seasonal streamflows using hydrological model output
hessimprovingstatisticalforecasts
https://www.usgs.gov/media/images/mean-streamflows-any-river-can-vary-greatly-year-year
Mean streamflows for any river can vary greatly year-by-year. | U.S. Geological Survey
Streamflow varies by yearThe table below shows the annual mean streamflow for the years 1959-2001. Annual mean streamflow is the average of all daily...
https://hess.copernicus.org/articles/17/579/2013/hess-17-579-2013-relations.html
HESS - Relations - Improving statistical forecasts of seasonal streamflows using hydrological model...
hessrelationsimprovingstatisticalforecasts
https://hess.copernicus.org/articles/21/5493/2017/hess-21-5493-2017.html
HESS - Technical note: Combining quantile forecasts and predictive distributions of streamflows
technical notehesscombiningquantile
https://experts.arizona.edu/en/publications/bayesian-generation-of-synthetic-streamflows-2-the-multivariate-c/
Bayesian generation of synthetic streamflows: 2. The multivariate case - University of Arizona
bayesiangenerationsynthetic