Runoff for Russia (RFR v1.0): The Large-Sample Dataset of Simulated Runoff and Its Characteristics

Global warming challenges communities worldwide to develop new adaptation strategies that are required be based on reliable data. As a vital component of life, river runoff comes into particular focus as determining and limiting factor water-related hazard assessment. Here, we present dataset makes it possible estimate the influence projected climate change its characteristics. We utilize HBV (in Swedish, Hydrologiska Byråns Vattenbalansavdelning) hydrological model drive with ISIMIP (The Inter-Sectoral Impact Model Intercomparison Project) meteorological forcing data for both historical (1979–2016) (2017–2099) periods simulate respective states variables, i.e., state soil reservoir, snow water equivalent, predicted amount melted water, 425 basins across Russia. For period, bias-corrected outputs from four General Circulation Models (GCM) under three Representative Concentration Pathways (RCPs) used, making assess uncertainty future projections. The simulated formed basis calculating characteristics (191 in total), representing properties regime dynamics. presented also comprises two auxiliary parts ensure seamless assessment inter-connected hydro-meteorological variables characteristics: (1) (2) geospatial straightforward use many interested parties identify further communicate issues Russia national scale.