Abstract
There is considerable concern that the water resources of Central and Eastern Europe region can be adversely affected by climate change. Projections of future water balance and streamflow conditions can be obtained by forcing hydrological models with the output from climate models. In this study, we employed the SWAT hydrological model driven with an ensemble of nine bias-corrected EURO-CORDEX climate simulations to generate future hydrological projections for the Vistula and Odra basins in two future horizons (2024–2050 and 2074–2100) under two Representative Concentration Pathways (RCPs). The data set consists of three parts: (1) model inputs; (2) raw model outputs; (3) aggregated model outputs. The first one allows the users to reproduce the outputs or to create the new ones. The second one contains the simulated time series of 10 variables simulated by SWAT: precipitation, snow melt, potential evapotranspiration, actual evapotranspiration, soil water content, percolation, surface runoff, baseflow, water yield and streamflow. The third one consists of the multi-model ensemble statistics of the relative changes in mean seasonal and annual variables developed in a GIS format. The data set should be of interest of climate impact scientists, water managers and water-sector policy makers. In any case, it should be noted that projections included in this data set are associated with high uncertainties explained in this data descriptor paper.
Highlights
There is considerable concern that the water resources of the Central and Eastern Europe (CEE) region can be adversely affected by climate change
Studies reporting the impacts of climate change on hydrology in catchments, regions, continents and the whole globe are numerous, the underlying data sets of projected water balance and streamflow have been extremely rarely published to date
A few exceptions are: Future Flows and Groundwater Levels data set for the U.K. [2] as well as a more general and thematically-wider data set of model simulations from the Inter-sectoral Impact Model Intercomparison Project (ISIMIP, https://www.isimip.org/outputdata/)
Summary
Climatic change, manifested both in observations and model projections, is not limited to the ubiquitous warming. The CHASE-PL—Future Hydrology (CPL-FH) data set was developed within the CHASE-PL (Climate Change Impact Assessment for Selected Sectors in Poland) project funded within the Polish-Norwegian Research Programme. The main tool used to develop the CPL-FH (as well as CPL-NH) data set was the hydrological model SWAT (Soil & Water Assessment Tool, [9]) This semi-distributed, process-based, continuous-time watershed model has been very widely used for climate change impact assessments on water resources in all world regions [10,11]. It should be of interest of water managers and water-sector policy makers in the context of climate change adaptation. Water availability for irrigation) and freshwater ecologists (e.g., with respect to projected alterations of streamflow that may affect freshwater biota)
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