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

Author

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  • Georgy Ayzel

    (State Hydrological Institute, 199004 Saint Petersburg, Russia)

Abstract

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

Suggested Citation

  • Georgy Ayzel, 2023. "Runoff for Russia (RFR v1.0): The Large-Sample Dataset of Simulated Runoff and Its Characteristics," Data, MDPI, vol. 8(2), pages 1-13, January.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:2:p:31-:d:1051029
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    References listed on IDEAS

    as
    1. Philippe Roudier & Jafet C. M. Andersson & Chantal Donnelly & Luc Feyen & Wouter Greuell & Fulco Ludwig, 2016. "Projections of future floods and hydrological droughts in Europe under a +2°C global warming," Climatic Change, Springer, vol. 135(2), pages 341-355, March.
    2. Shaochun Huang & Rohini Kumar & Martina Flörke & Tao Yang & Yeshewatesfa Hundecha & Philipp Kraft & Chao Gao & Alexander Gelfan & Stefan Liersch & Anastasia Lobanova & Michael Strauch & Floris Ogtrop , 2017. "Evaluation of an ensemble of regional hydrological models in 12 large-scale river basins worldwide," Climatic Change, Springer, vol. 141(3), pages 381-397, April.
    3. Günter Blöschl & Julia Hall & Alberto Viglione & Rui A. P. Perdigão & Juraj Parajka & Bruno Merz & David Lun & Berit Arheimer & Giuseppe T. Aronica & Ardian Bilibashi & Miloň Boháč & Ognjen Bonacci & , 2019. "Changing climate both increases and decreases European river floods," Nature, Nature, vol. 573(7772), pages 108-111, September.
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