{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T17:12:43Z","timestamp":1762621963540,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2017,4,26]],"date-time":"2017-04-26T00:00:00Z","timestamp":1493164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Centre for Research and Development (NCBiR)","award":["Pol Nor\/200799\/90\/2014"],"award-info":[{"award-number":["Pol Nor\/200799\/90\/2014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>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\u20132050 and 2074\u20132100) 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.<\/jats:p>","DOI":"10.3390\/data2020014","type":"journal-article","created":{"date-parts":[[2017,4,26]],"date-time":"2017-04-26T13:42:06Z","timestamp":1493214126000},"page":"14","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["CHASE-PL\u2014Future Hydrology Data Set: Projections of Water Balance and Streamflow for the Vistula and Odra Basins, Poland"],"prefix":"10.3390","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7930-4549","authenticated-orcid":false,"given":"Miko\u0142aj","family":"Piniewski","sequence":"first","affiliation":[{"name":"Department of Hydraulic Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 159, 02-776 Warsaw, Poland"},{"name":"Potsdam Institute for Climate Impact Research, Telegraphenberg A31, 14473 Potsdam, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mateusz","family":"Szcze\u015bniak","sequence":"additional","affiliation":[{"name":"Department of Hydraulic Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 159, 02-776 Warsaw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5425-6218","authenticated-orcid":false,"given":"Ignacy","family":"Kardel","sequence":"additional","affiliation":[{"name":"Department of Hydraulic Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 159, 02-776 Warsaw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,4,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1007\/s11069-004-4547-6","article-title":"Summer Floods in Central Europe\u2014Climate Change Track?","volume":"36","author":"Kundzewicz","year":"2005","journal-title":"Nat. Hazards"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"101","DOI":"10.5194\/essd-5-101-2013","article-title":"Future Flows Hydrology: An ensemble of daily river flow and monthly groundwater levels for use for climate change impact assessment across Great Britain","volume":"5","author":"Prudhomme","year":"2013","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"127","DOI":"10.5194\/essd-8-127-2016","article-title":"CPLFD-GDPT5: High-resolution gridded daily precipitation and temperature data set for two largest Polish river basins","volume":"8","author":"Berezowski","year":"2016","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_4","unstructured":"Berezowski, T., Piniewski, M., Szcze\u015bniak, M., and Kardel, I. (2017, April 19). CHASE-PL Forcing Data: Gridded Daily Precipitation & Temperature Dataset 5 km (CPLFD-GDPT5). Available online: https:\/\/doi.org\/10.4121\/uuid:e939aec0-bdd1-440f-bd1e-c49ff10d0a07."},{"key":"ref_5","unstructured":"Piniewski, M., Szcze\u015bniak, M., Kardel, I., and Berezowski, T. (2017, April 19). CHASE-PL\u2014Natural Hydrology Dataset (CPL-NH). 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