{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T18:21:21Z","timestamp":1773253281566,"version":"3.50.1"},"posted":{"date-parts":[[2015,10,9]]},"group-title":"Global hydrology\/Modelling approaches","reference-count":41,"publisher":"Copernicus GmbH","license":[{"start":{"date-parts":[[2015,10,9]],"date-time":"2015-10-09T00:00:00Z","timestamp":1444348800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Abstract. The main aims of this paper are the evaluation of five large-scale hydrological models across Europe and the assessment of the suitability of the models for making projections under climate change. For the evaluation, 22 years of discharge measurements from 46 large catchments were exploited. In the reference simulations forcing was taken from the E-OBS dataset for precipitation and temperature, and from the WFDEI dataset for other variables. On average across all catchments, biases were small for four of the models, ranging between \u221229 and +23 mm yr\u22121 (\u22129 and +8 %), while one model produced a large negative bias (\u2212117 mm yr\u22121; \u221238 %). Despite large differences in e.g. the evapotranspiration schemes, the skill to simulate interannual variability did not differ much between the models, which can be ascribed to the dominant effect of interannual variation in precipitation on interannual variation in discharge. Assuming that the skill of a model to simulate interannual variability provides a measure for the model's ability to make projections under climate change, the skill of future discharge projections will not differ much between models. The quality of the simulation of the mean annual cycles, and low and high discharge was found to be related to the degree of calibration of the models, with the more calibrated models outperforming the crudely and non-calibrated models. The sensitivity to forcing was investigated by carrying out alternative simulations with all forcing variables from WFDEI, which increased biases by between +66 and +85 mm yr\u22121 (21\u201328 %), significantly changed the inter-model ranking of the skill to simulate the mean and increased the magnitude of interannual variability by 28 %, on average.\n                        <\/jats:p>","DOI":"10.5194\/hessd-12-10289-2015","type":"posted-content","created":{"date-parts":[[2015,10,9]],"date-time":"2015-10-09T11:27:49Z","timestamp":1444390069000},"source":"Crossref","is-referenced-by-count":16,"title":["Evaluation of five hydrological models across Europe and their suitability for making projections under climate change"],"prefix":"10.5194","author":[{"given":"W.","family":"Greuell","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5269-7549","authenticated-orcid":false,"given":"J. C. 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F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P. P., Janowiak, J., and Nelkin, E.: The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979\u2013present), J. Hydrometeorol., 4, 1147\u20131167, 2003.","DOI":"10.1175\/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Biemans, H., Hutjes, R. W. A., Kabat, P., Strengers, B. J., Gerten, D., and Rost, S.: Effects of precipitation uncertainty on discharge calculations for main river basins, J. Hydrometeorol., 10, 1011\u20131025, 2009.","DOI":"10.1175\/2008JHM1067.1"},{"key":"ref3","unstructured":"Burek, P., van der Knijff, J., and de Roo, A.: LISFLOOD Distributed Water Balance and Flood Simulation Model, revised user manual, JRC technical reports EUR 22166 EN\/3 EN, European Union, printed in Italy, 2013a."},{"key":"ref4","unstructured":"Burek, P., van der Knijff, J., and Ntegeka, V.: LISFLOOD Distributed Water Balance and Flood Simulation Model, revised user manual, JRC technical reports EUR 26167 EN, European Union, printed in Italy, 2013b."},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"Dai, A., Qian, T., Trenberth, K. E., and Milliman, J. D.: Changes in continental freshwater discharge from 1948 to 2004, J. Climate, 22, 2773\u20132792, 2009.","DOI":"10.1175\/2008JCLI2592.1"},{"key":"ref6","doi-asserted-by":"crossref","unstructured":"D\u00e9qu\u00e9, M. and Somot, S.: Weighted frequency distributions express modelling uncertainties in the ENSEMBLES regional climate experiments, Clim. Res., 44, 195\u2013201, 2010.","DOI":"10.3354\/cr00866"},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"Donnelly, C., Rosberg, J., and Isberg, K.: A validation of river routing networks for catchment modelling from small to large scales, Hydrol. Res., 44, 917\u2013925, 2012.","DOI":"10.2166\/nh.2012.341"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"Donnelly, C., Andersson, J. C., and Arheimer, B.: Using flow signatures and catchment similarities to evaluate the E-HYPE multi-basin model across Europe, Hydrolog. Sci. J., accepted, 2015.","DOI":"10.1080\/02626667.2015.1027710"},{"key":"ref9","doi-asserted-by":"crossref","unstructured":"Fekete, B. M., V\u00f6r\u00f6smarty, C. J., Roads, J. O., and Willmott, C. J.: Uncertainties in precipitation and their impacts on runoff estimates, J. Climate, 17, 294\u2013304, 2004.","DOI":"10.1175\/1520-0442(2004)017<0294:UIPATI>2.0.CO;2"},{"key":"ref10","doi-asserted-by":"crossref","unstructured":"Gudmundsson, L., Tallaksen, L. M., Stahl, K., Clark, D. B., Dumont, E., Hagemann, S., Bertrand, N., Gerten, D., Heinke, J., Hanasaki, N., Voss, F., and Koirala, S.: Comparing Large-Scale Hydrological Model Simulations to Observed Runoff Percentiles in Europe, J. Hydrometeorol., 13, 604\u2013620, 2011.","DOI":"10.1175\/JHM-D-11-083.1"},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"Gudmundsson, L., Wagener, T., Tallaksen, L. M., and Engeland, K.: Evaluation of nine large-scale hydrological models with respect to the seasonal runoff climatology in Europe, Water Resour. Res., 48, 1\u201320, https:\/\/doi.org\/10.1029\/2011WR010911, 2012.","DOI":"10.1029\/2011WR010911"},{"key":"ref12","doi-asserted-by":"crossref","unstructured":"Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the mean squared error and NSE performance criteria: implications for improving hydrological modelling, J. Hydrol., 377, 80\u201391, 2009.","DOI":"10.1016\/j.jhydrol.2009.08.003"},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"Hagemann, S., Chen, C., Clark, D. B., Folwell, S., Gosling, S. N., Haddeland, I., Hanasaki, N., Heinke, J., Ludwig, F., Voss, F., and Wiltshire, A. J.: Climate change impact on available water resources obtained using multiple global climate and hydrology models, Earth Syst. Dynam., 4, 129\u2013144, https:\/\/doi.org\/10.5194\/esd-4-129-2013, 2013.","DOI":"10.5194\/esd-4-129-2013"},{"key":"ref14","unstructured":"Hamon, W. R.: Estimating Potential Evapotranspiration, PhD thesis, Massachusetts Institute of Technology, Boston, 1960."},{"key":"ref15","unstructured":"Hargreaves, G. H. and Samani, Z. A.: Reference crop evapotranspiration from ambient air temperature, no. fiche no. 85-2517, (Microfiche collection), American Society of Agricultural Engineers, USA, 1985."},{"key":"ref16","doi-asserted-by":"crossref","unstructured":"Hartung, J., Knapp, G., and Sinha, B. K.: Statistical Meta-Analysis With Applications, John Wiley and Sons, Hoboken, New Jersey, 2008.","DOI":"10.1002\/9780470386347"},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D., and New, M.: A European daily high-resolution gridded data set of surface temperature and precipitation for 1950\u20132006, J. Geophys. Res.-Atmos., 113, 1\u201312, https:\/\/doi.org\/10.1029\/2008JD010201, 2008.","DOI":"10.1029\/2008JD010201"},{"key":"ref18","doi-asserted-by":"crossref","unstructured":"Hesselbjerg Christensen, J., Kjellstr\u00f6m, E., Giorgi, F., Lenderink, G., and Rummukainen, M.: Weight assignment in regional climate models, Clim. Res., 44, 179\u2013194, 2010.","DOI":"10.3354\/cr00916"},{"key":"ref19","unstructured":"Hofstra, N., Haylock, M., New, M., and Jones, P. D.: Testing E-OBS European high-resolution gridded data set of daily precipitation and surface temperature, J. Geophys. Res.-Atmos., 114, 1\u201316, https:\/\/doi.org\/10.1029\/2009JD01179, 2009."},{"key":"ref20","doi-asserted-by":"crossref","unstructured":"Liang, X., Lettenmaier, D. P., Wood, E. F., and Burges, S. J.: A simple hydrologically based model of land surface water and energy fluxes for general circulation models, J. Geophys. Res.-Atmos., 99, 14415\u201314428, 1994.","DOI":"10.1029\/94JD00483"},{"key":"ref21","doi-asserted-by":"crossref","unstructured":"Lindstr\u00f6m, G., Pers, C., Rosberg, J., Str\u00f6mqvist, J., and Arheimer, B.: Development and testing of the HYPE (Hydrological Predictions for the Environment) water quality model for different spatial scales, Hydrol. Res., 41, 295\u2013319, 2010.","DOI":"10.2166\/nh.2010.007"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"Lohmann, D., Nolte-Holube, R., and Raschke, E.: A large-scale horizontal routing model to be coupled to land surface parametrization schemes, Tellus A, 48, 708\u2013721, 1996.","DOI":"10.1034\/j.1600-0870.1996.t01-3-00009.x"},{"key":"ref23","doi-asserted-by":"crossref","unstructured":"Mitchell, T. D. and Jones, P. D.: An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 25, 693\u2013712, 2005.","DOI":"10.1002\/joc.1181"},{"key":"ref24","doi-asserted-by":"crossref","unstructured":"Nash, J. and Sutcliffe, J. V.: River flow forecasting through conceptual models part I \u2013 a discussion of principles, J. Hydrol., 10, 282\u2013290, 1970.","DOI":"10.1016\/0022-1694(70)90255-6"},{"key":"ref25","doi-asserted-by":"crossref","unstructured":"Nijssen, B., O'Donnell, G. M., Lettenmaier, D. P., Lohmann, D., and Wood, E. F.: Predicting the discharge of global rivers, J. Climate, 14, 3307\u20133323, 2001.","DOI":"10.1175\/1520-0442(2001)014<3307:PTDOGR>2.0.CO;2"},{"key":"ref26","unstructured":"Ntegeka, V., Salamon, P., Gomes, G., Sint, H., Lorini, V., Zambrano-Bigiarini, M., and Thielen, J.: EFAS-Meteo: a European Daily High-Resolution Gridded Meteorological Data Set for 1990\u20132011, JRC technical report EUR 26408 EN, European Union, printed in Italy, 2013."},{"key":"ref27","doi-asserted-by":"crossref","unstructured":"Priestley, C. H. B. and Taylor, R. J.: On the assessment of surface heat flux and evaporation using large-scale parameters, Mon. Weather Rev., 100, 81\u201392, 1972.","DOI":"10.1175\/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2"},{"key":"ref28","doi-asserted-by":"crossref","unstructured":"Prudhomme, C., Parry, S., Hannaford, J., and Clark, D.: How well do large-scale models reproduce regional hydrological extremes in Europe?, J. Hydrometeorol., 12, 1181\u20131204, 2011.","DOI":"10.1175\/2011JHM1387.1"},{"key":"ref29","doi-asserted-by":"crossref","unstructured":"Rost, S., Gerten, D., Bondeau, A., Lucht, W., Rohwer, J., and Schaphoff, S.: Agricultural green and blue water consumption and its influence on the global water system, Water Resour. Res., 44, W09405, https:\/\/doi.org\/10.1029\/2007WR006331, 2008.","DOI":"10.1029\/2007WR006331"},{"key":"ref30","doi-asserted-by":"crossref","unstructured":"Roudier P., Andersson, J., Donnelly, C., Feyen, L., Gerten, W., Greuell, D., Ludwig, F., Pisacane, G., Roudier, P., and Schaphoff, S.: Projections of future floods and hydrological droughts in Europe under a +2 \u00b0C global warming, Climatic Change, submitted, 2015.","DOI":"10.1007\/s10584-015-1570-4"},{"key":"ref31","doi-asserted-by":"crossref","unstructured":"Schaphoff, S., Heyder, U., Ostberg, S., Gerten, D., Heinke, J., and Lucht, W.: Contribution of permafrost soils to the global carbon budget, Environ. Res. Lett., 8, 014026, https:\/\/doi.org\/10.1088\/1748-9326\/8\/1\/014026, 2013.","DOI":"10.1088\/1748-9326\/8\/1\/014026"},{"key":"ref32","doi-asserted-by":"crossref","unstructured":"Schewe, J., Heinke, J., Gerten, D., Haddeland, I., Arnell, N. W., Clark, D. B., and Kabat, P.: Multimodel assessment of water scarcity under climate change, P. Natl. Acad. Sci. USA, 111, 3245\u20133250, 2014.","DOI":"10.1073\/pnas.1222460110"},{"key":"ref33","unstructured":"Shuttleworth, W. J.: Evaporation, in: chapter 4, Handbook of Hydrology, edited by: Maidment, D. R., McGraw-Hill, New York, 1993."},{"key":"ref34","doi-asserted-by":"crossref","unstructured":"Stahl, K., Tallaksen, L. M., Gudmundsson, L., and Christensen, J. H.: Streamflow data from small basins: a challenging test to high-resolution regional climate modeling, J. Hydrometeorol., 12, 900\u2013912, 2011.","DOI":"10.1175\/2011JHM1356.1"},{"key":"ref35","doi-asserted-by":"crossref","unstructured":"Taylor, K. E.: Summarizing multiple aspects of model performance in a single diagram, J. Geophys. Res.-Atmos., 106, 7183\u20137192, 2001.","DOI":"10.1029\/2000JD900719"},{"key":"ref36","doi-asserted-by":"crossref","unstructured":"van Vliet, M., Donnelly, C., Str\u00f6mb\u00e4ck, L., and Capell, R.: European scale climate information services for water use sectors, J. Hydrol., in revision, 2015.","DOI":"10.1016\/j.jhydrol.2015.06.060"},{"key":"ref37","doi-asserted-by":"crossref","unstructured":"Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E., \u00d6sterle, H., and Best, M.: Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century, J. Hydrometeorol., 12, 823\u2013848, 2011.","DOI":"10.1175\/2011JHM1369.1"},{"key":"ref38","doi-asserted-by":"crossref","unstructured":"Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., and Viterbo, P.: The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA-Interim reanalysis data, Water Resour. Res., 50, 7505\u20137514, 2014.","DOI":"10.1002\/2014WR015638"},{"key":"ref39","doi-asserted-by":"crossref","unstructured":"Willmott, C. J., Rowe, C. M., and Mintz, Y.: Climatology of the terrestrial seasonal water cycle, J. Climatol., 5, 589\u2013606, 1985.","DOI":"10.1002\/joc.3370050602"},{"key":"ref40","doi-asserted-by":"crossref","unstructured":"Wisser, D., Fekete, B. M., V\u00f6r\u00f6smarty, C. J., and Schumann, A. H.: Reconstructing 20th century global hydrography: a contribution to the Global Terrestrial Network \u2013 Hydrology (GTN-H), Hydrol. Earth Syst. Sci., 14, 1\u201324, https:\/\/doi.org\/10.5194\/hess-14-1-2010, 2010.","DOI":"10.5194\/hess-14-1-2010"},{"key":"ref41","unstructured":"Xia, Y., Mitchell, K., Ek, M., Cosgrove, B., Sheffield, J., Luo, L., and Lohmann, D.: Continental-scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS-2): 2. validation of model-simulated streamflow, J. Geophys. Res.-Atmos., 117, 1\u201327, https:\/\/doi.org\/10.1029\/2011JD01604, 2012."}],"container-title":[],"original-title":[],"link":[{"URL":"https:\/\/hess.copernicus.org\/preprints\/12\/10289\/2015\/hessd-12-10289-2015.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,27]],"date-time":"2021-01-27T18:07:47Z","timestamp":1611770867000},"score":1,"resource":{"primary":{"URL":"https:\/\/hess.copernicus.org\/preprints\/12\/10289\/2015\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10,9]]},"references-count":41,"URL":"https:\/\/doi.org\/10.5194\/hessd-12-10289-2015","relation":{},"subject":[],"published":{"date-parts":[[2015,10,9]]},"subtype":"preprint"}}