Robuta

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