{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T22:34:21Z","timestamp":1774650861844,"version":"3.50.1"},"reference-count":65,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2015,11,4]],"date-time":"2015-11-04T00:00:00Z","timestamp":1446595200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Water"],"abstract":"<jats:p>Information about the potential impacts of climate change on river runoff is needed to prepare efficient adaptation strategies. This study presents scenario projections for the future hydrological runoff regime in the Danube River Basin. The eco-hydrological watershed model Soil and Water Integrated Model (SWIM) was applied for the entire Danube River catchment, considering 1224 subbasins. After calibration and validation of the model, a set of high-resolution climate projections (bias-corrected and non-bias-corrected) served as meteorological drivers with which future daily river discharge under different climate warming scenario conditions was simulated. Despite existing uncertainties, robust trends could be identified. In the next 30 years, the seasonal stream-flow regime of the Danube and its tributaries is projected to change considerably. Our results show a general trend towards a decrease in summer runoff for the whole Danube basin and, additionally, in autumn runoff for the Middle and Lower Danube basin, aggravating the existing low flow periods. For the winter and early spring seasons, mainly January\u2013March, an increase in river runoff is projected. Greater uncertainties show up in particular for winter runoff in the Dinaric Alps and the Lower Danube basin. The existing trends become very distinct until the end of the 21st century, especially for snow-influenced river regimes.<\/jats:p>","DOI":"10.3390\/w7116139","type":"journal-article","created":{"date-parts":[[2015,11,4]],"date-time":"2015-11-04T10:46:46Z","timestamp":1446634006000},"page":"6139-6172","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":70,"title":["Impacts of Climate Change on the Hydrological Regime of the Danube River and Its Tributaries Using an Ensemble of Climate Scenarios"],"prefix":"10.3390","volume":"7","author":[{"given":"Judith","family":"Stagl","sequence":"first","affiliation":[{"name":"Potsdam Institute for Climate Impact Research, Germany, P.O. Box 60 12 03, Potsdam 14412, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fred","family":"Hattermann","sequence":"additional","affiliation":[{"name":"Potsdam Institute for Climate Impact Research, Germany, P.O. Box 60 12 03, Potsdam 14412, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,11,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Field, C.B., Barros, V.R., Dokken, D.J., Mach, K.J., Mastrandrea, M.D., Bilir, T.E., Chatterjee, M., Ebi, K.L., Estrada, Y.O., and Genova, R.C. (2014). Climate Change 2014: Impacts, Adaptation, and Vulnerability, Part A: Global and Sectoral Aspects, Cambridge University Press. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.","DOI":"10.1017\/CBO9781107415379"},{"key":"ref_2","first-page":"42","article-title":"Assessment of water availability in a central-european river basin (Elbe) under climate change","volume":"4","author":"Hattermann","year":"2008","journal-title":"Adv. Clim. Chang. Res."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Hattermann, F.F., and Kundzewicz, Z. (2010). Water Framework Directive: Model Supported Implementation: A Water Manager\u2019s Guide, Iwa Publishing.","DOI":"10.2166\/9781780401768"},{"key":"ref_4","unstructured":"Tockner, K., Robinson, C.T., and Uehlinger, U. (2009). Rivers of Europe, Academic Press."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/S1366-7017(99)00025-2","article-title":"The Danube river basin environmental programme: Plans and actions for a basin wide approach","volume":"2","author":"Nachtnebel","year":"2000","journal-title":"Water Policy"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Giorgi, F. (2006). Climate change hot-spots. Geophys. Res. Lett., 33.","DOI":"10.1029\/2006GL025734"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1111\/j.1749-8198.2010.00357.x","article-title":"Regional Climate Models for Hydrological Impact Studies at the Catchment Scale: A Review of recent modeling Strategies","volume":"4","author":"Teutschbein","year":"2010","journal-title":"Geogr. Compass"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Aich, V., Liersch, S., Vetter, T., Huang, S., Tecklenburg, J., Hoffmann, P., Koch, H., Fournet, S., Krysanova, V., and M\u00fcller, E.N. (2014). Comparing impacts of climate change on streamflow in four large African river basins. Hydrol. Earth Syst. Sci., 18.","DOI":"10.5194\/hessd-10-13005-2013"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Hattermann, F.F., Huang, S., and Koch, H. (2015). Climate change impacts on hydrology and water resources. Meteorol. Z., 24.","DOI":"10.1127\/metz\/2014\/0575"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Giorgi, F. (2010). Uncertainties in climate change projections, from the global to the regional scale. EPJ Web Conf., 9.","DOI":"10.1051\/epjconf\/201009009"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Collins, M. (2007). Ensembles and probabilities: A new era in the prediction of climate change. Philos. Trans. R. Soc. A, 365.","DOI":"10.1098\/rsta.2007.2068"},{"key":"ref_12","unstructured":"Zabel, F. (2009). GLOWA-Danube-Projekt, LMU M\u00fcnchen (Hrsg.): Global Change Atlas, Einzugsgebiet Obere Donau."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/j.jhydrol.2012.01.011","article-title":"Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios","volume":"424","author":"Kling","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1007\/s11069-013-0987-1","article-title":"Impact of climate change on hydrological conditions of Rhine and Upper Danube rivers based on the results of regional climate and hydrological models","volume":"72","author":"Lingemann","year":"2014","journal-title":"Nat. Hazards"},{"key":"ref_15","unstructured":"Mauser, W., Prasch, M., Koch, F., and Weidinger, R. Danube Study\u2014Climate Change Adaptation, Danube River Basin Climate Change Adaptation. Available online: http:\/\/www.icpdr.org\/main\/activities-projects\/climate-change-adaptation."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Brilly, M. (2010). Hydrological Processes of the Danube River Basin, Springer Netherlands.","DOI":"10.1007\/978-90-481-3423-6"},{"key":"ref_17","unstructured":"ICPDR\u2014International Commission for the Protection of the Danube River Map 3: Annual Precipitation. Available online: https:\/\/www.icpdr.org\/main\/resources\/map-3-annual-precipitation."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Huss, M. (2011). Present and future contribution of glacier storage change to runoff from macroscale drainage basins in Europe. Water Resour. Res., 47.","DOI":"10.1029\/2010WR010299"},{"key":"ref_19","first-page":"221","article-title":"Contribution of rain, snow- and icemelt in the upper Danube discharge today and in the future","volume":"33","author":"Weber","year":"2010","journal-title":"Geogr. Fis. Dinam. Quat."},{"key":"ref_20","first-page":"52","article-title":"The Iron Gates Reservoir\u2014Aspects concerning hydrological characteristics and water quality","volume":"4","author":"Zaharia","year":"2010","journal-title":"Lakes Reserv. Ponds"},{"key":"ref_21","unstructured":"Van der Linden, P., and Mitchell, J. (2009). ENSEMBLES: Climate Change and Its Impacts: Summary of Research and Results from the ENSEMBLES Project, Met Office Hadley Centre."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Stagl, J., Hattermann, F.F., and Vohland, K. (2014). Exposure to climate change in Central Europe: What can be gained from regional climate projections for management decisions of protected areas?. Reg. Environ. Chang., 15.","DOI":"10.1007\/s10113-014-0704-y"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Jacob, D., B\u00e4rring, L., Christensen, O.B., Christensen, J.H., de Castro, M., Deque, M., Giorgi, F., Hagemann, S., Hirschi, M., and Jones, R. (2007). An inter-comparison of regional climate models for Europe: Model performance in present-day climate. Clim. Chang.","DOI":"10.1007\/s10584-006-9213-4"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1175\/2011JHM1369.1","article-title":"Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century","volume":"12","author":"Weedon","year":"2011","journal-title":"J. Hydrometeorol."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Ehret, U., Zehe, E., Wulfmeyer, V., Warrach-Sagi, K., and Liebert, J. (2012). HESS Opinions \u201cShould we apply bias correction to global and regional climate model data?\u201d. Hydrol. Earth Syst. Sci., 16.","DOI":"10.5194\/hessd-9-5355-2012"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.5194\/hess-17-1189-2013","article-title":"On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff","volume":"17","author":"Muerth","year":"2013","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4823","DOI":"10.1002\/hyp.10238","article-title":"Bias correction for hydrological impact studies-beyond the daily perspective","volume":"28","author":"Addor","year":"2014","journal-title":"Hydrol. Process."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2601","DOI":"10.5194\/bg-11-2601-2014","article-title":"What is the importance of climate model bias when projecting the impacts of climate change on land surface processes?","volume":"11","author":"Liu","year":"2014","journal-title":"Biogeosciences"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Teutschbein, C., and Seibert, J. (2013). Is bias correction of regional climate model (RCM) simulations possible for non-stationary conditions?. Hydrol. Earth Syst. Sci., 17.","DOI":"10.5194\/hessd-9-12765-2012"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Hagemann, S., Chen, C., Hearter, J.O., Heinke, J., Gerten, D., and Piani, C. (2011). Impact of a statistical bias correction on the projected hydrological changes obtained from three GCMs and two hydrological models. J. Hydrometeorol., 12.","DOI":"10.1175\/2011JHM1336.1"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s10584-006-9228-x","article-title":"An intercomparison of regional climate simulations for Europe: Assessing uncertainties in model projections","volume":"81","author":"Rowell","year":"2007","journal-title":"Clim. Chang."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Tebaldi, C., and Knutti, R. (2007). The use of the multi-model ensemble in probabilistic climate projections. Philos. Trans. R. Soc. A, 265.","DOI":"10.1098\/rsta.2007.2076"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"3228","DOI":"10.1073\/pnas.1312330110","article-title":"The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP): Project framework","volume":"111","author":"Warszawski","year":"2013","journal-title":"PNAS"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Hempel, S., Frieler, K., Warszawski, L., Schewe, J., and Piontek, F. (2013). A trend-preserving bias correction\u2014The ISI-MIP approach. Earth Syst. Dynam., 4.","DOI":"10.5194\/esdd-4-49-2013"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1002\/hyp.5619","article-title":"Development of the ecohydrological model SWIM for regional impact studies and vulnerability assessment","volume":"19","author":"Krysanova","year":"2005","journal-title":"Hydrol. Process."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3113","DOI":"10.1007\/s11269-011-9848-4","article-title":"Model-Supported impact assessment for the water sector in Central Germany under climate change\u2014A case study","volume":"25","author":"Hattermann","year":"2011","journal-title":"Water Resour. Manag."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1080\/00224561.1983.12436327","article-title":"EPIC a new method for assessing erosion\u2019s effect on soil productivity","volume":"38","author":"Williams","year":"1984","journal-title":"J. Soil Water Conserv."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Huang, S., Krysanova, V., and Hatterman, F.F. (2013). Projection of Low Flow Conditions in Germany under Climate Change by Combining Three RCMs and a Regional Hydrological Model. Acta Geophys., 61.","DOI":"10.2478\/s11600-012-0065-1"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1191\/0309133305pp453ra","article-title":"Glacier melt: A review of processes and their modelling","volume":"29","author":"Hock","year":"2005","journal-title":"Prog. Phys. Geogr."},{"key":"ref_40","unstructured":"SRTM 90m Digital Elevation Data. Available online: http:\/\/srtm.csi.cgiar.org\/."},{"key":"ref_41","unstructured":"Bossard, M., Feranec, J., and Otahel, J. (2000). CORINE Land Cover Technical Guide\u2014Addendum 2000, EEA Technical Report European Environment Agency."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Lehner, B., Liermann, C.R., Revenga, C., V\u00f6r\u00f6smarty, C., Fekete, B., Crouzet, P., D\u00f6ll, P., Endejan, M., Frenken, K., and Magome, J. (2011). High-resolution mapping of the world's reservoirs and dams for sustainable river-flow management. Front. Ecol. Environ., 9.","DOI":"10.1890\/100125"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Uppala, S.M., K\u00e5llberg, P.W., Simmons, A.J., Andrae, U., da Costa Bechtold, V., Fiorino, M., Gibson, J.K., Haseler, J., Hernandez, A., and Kelly, G.A. (2005). The ERA-40 re-analysis. Quart. J. R. Meteorol. Soc., 131.","DOI":"10.1256\/qj.04.176"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1002\/joc.1181","article-title":"An improved method of constructing a database of monthly climate observations and associated high-resolution grids","volume":"25","author":"Mitchell","year":"2005","journal-title":"Int. J. Climatol."},{"key":"ref_45","unstructured":"Weedon, G.P., Gomes, S., Viterbo, P., \u00d6sterle, H., Adam, J.C., Bellouin, N., Boucher, O., and Best, M. Available online: http:\/\/www.eu-watch.org\/media\/default.aspx\/emma\/org\/10376311\/WATCH+Technical+Report+Number+22+The+WATCH+forcing+data+1958-2001+A+meteorological+forcing+dataset+for+land+surface-+and+hydrological-models.pdf."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Rust, H.W., Kruschke, T., Dobler, A., Fischer, M., and Ulbrich, U. (2015). Discontinuous Daily Temperatures in the WATCH Forcing Datasets. J. Hydrometeorol., 16.","DOI":"10.1175\/JHM-D-14-0123.1"},{"key":"ref_47","unstructured":"Climate Research Unit, Gridded station observations, CRU TS 2.10. Gridded Station Counts Per Variable. Available online: http:\/\/www.cru.uea.ac.uk\/cru\/data\/hrg\/cru_ts_2.10\/."},{"key":"ref_48","first-page":"885","article-title":"Model evaluation guidelines for systematic quantification of accuracy in watershed simulations","volume":"50","author":"Moriasi","year":"2007","journal-title":"Trans. Am. Soc. Agric. Biol. Eng."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1007\/s00704-010-0362-z","article-title":"Climate change scenarios of precipitation extremes in Central Europe from ENSEMBLES regional climate models","volume":"104","year":"2011","journal-title":"Theor. Appl. Climatol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1111\/j.1600-0870.2010.00475.x","article-title":"21st century changes in the European climate: Uncertainties derived from an ensemble of regional climate model simulations","volume":"63","author":"Nikulin","year":"2011","journal-title":"Tellus A"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Mauser, W., and Prasch, M. (2015). Regional Assessment of Global Change Impacts\u2014The Project GLOWA-Danube, Springer International Publishing.","DOI":"10.1007\/978-3-319-16751-0"},{"key":"ref_52","unstructured":"AdaptAlp: Water Regime in the Alpine Space\u2014The Inn River Basin, Adapt Alp WP4 Water Regime. Available online: http:\/\/www.adaptalp.org\/index.php?option=com_docman&task=doc_download&gid=409&Itemid=79."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Koboltschnig, G.R., and Sch\u00f6ner, W. (2011). The relevance of glacier melt in the water cycle of the Alps: The example of Austria. Hydrol. Earth Syst. Sci., 15.","DOI":"10.5194\/hessd-7-2897-2010"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"2753","DOI":"10.3390\/w7062753","article-title":"Discharge Alterations of the Mures River, Romania under Ensembles of Future Climate Projections and Sequential Threats to Aquatic Ecosystem by the End of the Century","volume":"7","author":"Lobanova","year":"2015","journal-title":"Water"},{"key":"ref_55","unstructured":"CLAVIER\u2014Climate Change and Variability: Impact on Central and Eastern Europe, Results WP3c: Hydrology. Available online: http:\/\/www.clavier-eu.org\/?q=node\/879."},{"key":"ref_56","unstructured":"CECILIA\u2014Central and Eastern Europe Climate Change Impact and Vulnerability Assessment: 1.1.6.3.I.3.2: Climate Change Impacts in Central Eastern Europe. Available online: http:\/\/www.cecilia-eu.org\/Y3_SUM.pdf."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1007\/s10584-006-9215-2","article-title":"Assessing climate change impacts on hydrology from an ensemble of regional climate models, model scales and linking methods\u2014A case study on the Lule River basin","volume":"81","author":"Graham","year":"2007","journal-title":"Clim. Chang."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s10584-008-9471-4","article-title":"Comparison of uncertainty sources for climate change impacts: Flood frequency in England","volume":"92","author":"Kay","year":"2009","journal-title":"Clim. Chang."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Wilby, R.L., and Harris, I. (2006). A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK. Water Resour. Res., 42.","DOI":"10.1029\/2005WR004065"},{"key":"ref_60","first-page":"849","article-title":"Multi-model climate impact assessment and intercomparison for three large-scale river basins on three continents","volume":"5","author":"Vetter","year":"2014","journal-title":"Earth Syst. Dyn. Discus."},{"key":"ref_61","unstructured":"Bergstr\u00f6m, S., Andr\u00e9asson, J., and Graham, L.P. (2012, January 6\u20138). Climate adaptation of the Swedish guidelines for design floods for dams. Proceedings of the 24th ICOLD Congress, Kyoto, Japan."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.1029\/2011WR011533","article-title":"Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections","volume":"49","author":"Bosshard","year":"2013","journal-title":"Water Resour. Res."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Teutschbein, C., and Seibert, J. (2012). Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods. J. Hydrol., 456.","DOI":"10.1016\/j.jhydrol.2012.05.052"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Huang, S., Krysanova, V., and Hattermann, F.F. (2014). Does bias correction increase reliability of flood projections under climate change? A case study of large rivers in Germany. Int. J. Climatol., 34.","DOI":"10.1002\/joc.3945"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Van Ulden, A.P., and van Oldenborgh, G.J. (2006). Large-scale atmospheric circulation biases and changes in global climate model simulations and their importance for climate change in Central Europe. Atmos. Chem. Phys., 6.","DOI":"10.5194\/acpd-5-7415-2005"}],"container-title":["Water"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-4441\/7\/11\/6139\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:51:28Z","timestamp":1760215888000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-4441\/7\/11\/6139"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,4]]},"references-count":65,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2015,11]]}},"alternative-id":["w7116139"],"URL":"https:\/\/doi.org\/10.3390\/w7116139","relation":{},"ISSN":["2073-4441"],"issn-type":[{"value":"2073-4441","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,11,4]]}}}