Scientific Publications

Here we list the publications in scientific journals that we are aware of using the HYPE model in hydrological research. Please, let us know if there is more to add to the list by using the form at the bottom of the page.


Arheimer, B., Hjerdt, N. and Lindström, G. (2018). Artificially induced floods to manage forest habitats under climate change. Front. Environ. Sci. 6:102. DOI: 10.3389/fenvs.2018.00102

Berg, P.; Donnelly, C.; Gustafsson, D. (2018) Near-real-time adjusted reanalysis forcing data for hydrology. Hydrology and Earth System Sciences, Copernicus GmbH, 22, 989-1000, DOI: 10.5194/hess-22-989-2018

Donnelly, C., Ernst, K. and Arheimer, B. (2018). A comparison of hydrological climate services at different scales by users and scientists. Climate Services 11, 24-35, DOI:

Grillakis, M., Koutroulis, A., Tsanis, I. (2018). Improving seasonal forecasts for basin scale hydrological applications. Water 10 (11), 1593 - 1609,  DOI: 10.3390/W10111593

Krysanova, V., Donnelly, C., Gelfan, A., Gerten, D., Arheimer, B., Hattermann, F. and Kundzewicz; Z.W. (2018). How the performance of hydrological models relates to credibility of projections under climate change, Hydrological Sciences Journal 63 (5), 696-720, DOI: 10.1080/02626667.2018.1446214

Strömbäck, L., Pers, C., Strömqvist, J., Lindström, G., and Gustavsson, J. (2018). A web based analysis and scenario tool for eutrophication of inland waters for Sweden and Europe. Env. Modelling and Software, DOI:

MacDonald, M. K., Stadnyk, T. A., Déry, S. J., Braun, M., Gustafsson, D., Isberg, K., and Arheimer, B. (2018). Impacts of 1.5 and 2.0 °C warming on pan-Arctic river discharge into the Hudson Bay Complex through 2070. Geophysical Research Letters, 45, 7561–7570, DOI:

Nijzink R.C.,  Almeida S., Pechlivanidis I.G., Capell R., Gustafsson D., Arheimer B., Parajka J., Freer J., Han D., Wagener T., Nooijen R. R. P., Savenije H. H. G. and Hrachowitz M. (2018). Constraining Conceptual Hydrological Models With Multiple Information Sources, Water Resources Research, 54, DOI:

Pugliese, A., Persiano, S., Bagli, S., Mazzoli, P., Parajka, J., Arheimer, B., Capell, R., Montanari, A., Blöschl, G., and Castellarin, A. (2018). A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations, Hydrol. Earth Syst. Sci., 22, 4633-4648,

Sokolova, E., Lindström, G., Pers, C., Strömqvist, J., Lewerin, S. S., Wahlström, H. and Sörén K. (2018). Water quality modelling: microbial risks associated with manure on pasture and arable land. Journal of  Water Health  16 (4), 549-561, DOI:


Arheimer, B., Donnelly, C. and Lindström, G. (2017). Regulation of snow-fed rivers affects flow regimes more than climate change. Nature Communication 8(62). DOI: 10.1038/s41467-017-00092-8 

Donnelly, C., Greuell, W., Andersson, J., Gerten, D., Pisacane, G., Roudier, P., Ludwig, F. (2017) Impacts of climate change on European hydrology at 1.5, 2 and 3 degrees mean global warming above preindustrial level. Climatic Change, 143(1–2):13–26.

Kuentz, A., Arheimer, B., Hundecha, Y., and Wagener, T. (2017). Understanding hydrologic variability across Europe through catchment classification, Hydrol. Earth Syst. Sci., 21, 2863-2879, DOI: 10.5194/hess-21-2863-2017

Andersson, J.C.M., Ali, A., Arheimer, B., Gustafsson, D., Minoungou, B. (2017). Providing peak river flow statistics and forecasting in the Niger River basin. Physics and Chemistry of the Earth, Parts A/B/C (in Press, available online 21 Feb. 2017).  DOI: 10.1016/j.pce.2017.02.010

Gosling, S. N., Zaherpour, J., Mount, N., Hattermann, F. F., Dankers, R., Arheimer, B., Breuer, L., Ding, J., Haddeland, I., Kumar, R., Kundu, D., Liu, J., Griensven, A. van, Veldkamp, T. I. E., Vetter, T., Wang, X. and Zhan, X. (2017). A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1°C, 2°C and 3°C, Climatic Change 141(3):577–595. DOI: 10.1007/s10584-016-1773-3

Pechlivanidis, I.G., Arheimer, B., Donnelly, C., Hundecha, Y., Huang, S., Aich, V., Samaniego, L., Eisner, S. and Shi, P. (2017). Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions. Climatic Change, 141(3):467–481 DOI: 10.1007/s10584-016-1723-0

Gelfan, A., Gustafsson, D., Motovilov, Y., Arheimer, B., Kalugin, A., Krylenko, I. and Lavrenov, A. (2017). Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues. Climatic Change 141(3):499–515. DOI: 10.1007/s10584-016-1710-5


Donnelly, C., Andersson, J.C.M. and Arheimer, B. (2016). Using flow signatures and catchment similarities to evaluate a multi-basin model (E-HYPE) across Europe. Hydr. Sciences Journal 61(2):255-273, DOI: 10.1080/02626667.2015.1027710

Emerton, R. Stephens E.M., Pappenberger, F., Pagano, T.C., Weerts, A.H., Wood, A.W., Salamon, P., Brown, J.D., Hjerdt, N., Donnelly, C. and Cloke, H.L. (2016) Continental and Global Scale Flood Forecasting Systems. Wires Water 2016, DOI: 10.1002/wat2.1137

Hu, M., Sayama, T., Takahashi, S. and Takara, 2016. Impact assessment of human activities and climate change on annual runoff in the Kamo river basin. Journal of Japan Society of Civil Engineers, Ser B1 (Hydraulic Engineering), 72(4):I_451-I_456.

Hundecha, Y., Arheimer, B., Donnelly, C., Pechlivanidis, I. (2016). A regional parameter estimation scheme for a pan-European multi-basin model. Journal of Hydrology: Regional Studies, Volume 6, June 2016, Pages 90-111. DOI: 10.1016/j.ejrh.2016.04.002

Jomaa, S., Jiang, S., Thraen, D., and M. Rode, 2016. Modelling the effect of different agricultural practices on stream nitrogen load in central Germany. Energy, Sustainability and Society 6(11), DOI: 10.1186/s13705-016-0077-9

Lindström, G. (2016) Lake water levels for calibration of the S-HYPE model. Hydrology Research 47,4, pp. 672-682. DOI: 10.2166/nh.2016.019

Nijzink, R., Hutton, C., Pechlivanidis, I., Capell, R., Arheimer, B., Freer, J., Han, D., Wagener, T., McGuire, K., Savenije, H., and Hrachowitz, M., 2016. The evolution of root-zone moisture capacities after deforestation: a step towards hydrological predictions under change? Hydrol. Earth Syst. Sci., 20, 4775-4799, DOI: 10.5194/hess-20-4775-2016

Olsson, J., Arheimer, B., Borris, M., Donnelly, C., Foster, K., Nikulin, G., Persson, M., Perttu, A-M., Uvo, C.B., Viklander, M. and Yang, W. 2016. Hydrological Climate Change Impact Assessment at Small and Large Scales: Key Messages from Recent Progress in Sweden. Climate 4(3), 39; DOI: 10.3390/cli4030039

Pechlivanidis, I.G., Arheimer, B., Donnelly, C., Hundecha, Y., Huang, S., Aich, V., Samaniego, L., Eisner, S. and Shi, P. (2016). Analysis of hydrological extremes at differenthydro-climatic regimes under present and future conditions. Climatic Change, DOI: 10.1007/s10584-016-1723-0

Pers, C., Temnerud, J. and G. Lindström, 2016. Modelling water, nutrients, and organic carbon in forested catchments: a HYPE application. Hydrological Processes, DOI: 10.1002/hyp.10830.

Yin Y, Jiang S, Pers C, Yang X, Liu Q, Yuan J, Yao M, He Y, Luo X, Zheng Z. (2016). Assessment of the Spatial and Temporal Variations of Water Quality for Agricultural Lands with Crop Rotation in China by Using a HYPE Model. International Journal of Environmental Research and Public Health. 2016; 13(3):336. DOI: 10.3390/ijerph13030336.


Andersson, J. C. M., Pechlivanidis, I. G., Gustafsson, D., Donnelly, C. and Arheimer, B. (2015). Key factors for improving large-scale hydrological model performance European Water 49:77-88.

Arheimer, B. and Lindström, G. (2015). Climate impact on floods – changes of high flows in Sweden in the past and the future. HESS 19, 771-784, 2015. doi:10.5194/hess-19-771-2015

Arheimer, B., Nilsson, J. and Lindström, G. (2015). Experimenting with Coupled Hydro-Ecological Models to Explore Measure Plans and Water Quality Goals in a Semi-Enclosed Swedish Bay. Water 7(7):3906-3924. doi:10.3390/w7073906

Aich, V.; Liersch, S.; Vetter, T.; Andersson, J.C.M.; Müller, E.N.; Hattermann, F.F. (2015). Climate or Land Use?—Attribution of Changes in River Flooding in the Sahel Zone. Water, 7, 2796-2820.

Jiang, S., Jomaa, S., Büttner, O., Meon, G. and M. Rode, 2015. Multi-site identification of a distributed hydrological nitrogen model using Bayesian uncertainty analysis. Journal of Hydrology, 529:940950, DOI 10.1016/j.hydrol.2015.09.009.

Pechlivanidis, I. G. and Arheimer, B. (2015). Large-scale hydrological modelling by using modified PUB recommendations: the India-HYPE case, Hydrol. Earth Syst. Sci., 19, 4559-4579, doi:10.5194/hess-19-4559-2015.

Pechlivanidis I.G., Olsson J., Sharma D., Bosshard T. and Sharma K.C. (2015). Assessment of the climate change impacts on the water resources of the Luni region, India. Global NEST Journal, 17(1), 29-40.

Roudier, P., J.C.M. Andersson, C. Donnelly, L. Feyen, W. Greuell, F. Ludwig, 2015. Projections of future floods and hydrological droughts in Europe under a +2°C global warming. Climatic change, DOI 10.1007/s10584-015-1570-4.

Thirel G., Andréassian, V., Perrin, C., Audouy, J.-N., Berthet, L., Edwards, P., Folton, N., Furusho, C., Kuentz, A., Lerat, J., Lindström, G., Martin, E., Mathevet, T., Merz, R., Parajka, J., Ruelland D. & Vaze, J. (2015) Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments. Hydrological Sciences Journal, DOI:10.1080/02626667.2014.967248

Van Vliet, M., Donnelly, C., Strömbäck, L. and Capell, R. (2015) European scale climate information services for water use sectors. Journal of Hydrology 09/2015; 528:503-513.

Yang, W., Gardelin, M., Olsson, J., and Bosshard, T.(2015) Multi-variable bias correction: application of forest fire risk in present and future climate in Sweden, Nat. Hazards Earth Syst. Sci., 15, 2037-2057, doi:10.5194/nhess-15-2037-2015.


Arheimer, B. and Lindström, G. (2014). Electricity vs Ecosystems – understanding and predicting hydropower impact on Swedish river flow. Evolving Water Resources Systems: Understanding, Predicting and Managing Water–Society Interactions. Proceedings of ICWRS2014, Bologna, Italy, June 2014; IAHS Publ. 364:313-319.

Bergstrand M., Asp S. and Lindström G. (2014). Nationwide hydrological statistics for Sweden with high resolution using the hydrological model S-HYPE. Hydrology Research, 45.3, 349-356.

Donnelly, C. Dahne, J. and Yang, W. (2014). River Discharge to the Baltic Sea in a Future Climate. Climatic Change, 122(1-2),157-170.

Grimvall, A., von Brömssen, C. & Lindström, G. (2014) Using process-based models to filter out natural variability in observed concentrations of nitrogen and phosphorus in river water. Environmental Monitoring and Assessment, 186:5135-5152. doi: 10.1007/s10661-014-3765-y

Hu, M., Takara, K., Luo, P., He, B. and W Duan, 2014. Climate change and land use change impact analysis in a data sparse basin using a hydrological model. Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), 70(4):I_109-I_114.

Jiang, S., Jomaa, S., and M. Rode, 2014. Modelling inorganic nitrogen leaching in nested mesoscale catchments in central Germany. Ecohydrology 7:1345-1362.

Meier, M.H.E., Andersson, H.C., Arheimer, B., Donnelly, C., Eilola, K.,  Gustafsson, B.G.,  Kotwicki, L., Neset, T., Niiranen, S., Piwowarczyk, J., Savchuk, O.P., Schenk, F.,   Węsławski, J.M., and Zorita, E. (2014). Ensemble Modeling of the Baltic Sea Ecosystem to Provide Scenarios for Management. AMBIO 43(1): 37-48. Doi: 10.1007/s13280-013-0475-6.

Pechlivanidis, I.G., Bosshard, T., Spångmyr, H., Lindström, G., Gustafsson, D., and Arheimer, B., (2014). Uncertainty in the Swedish Operational Hydrological Forecasting Systems. ASCE proceedings: Vulnerability, Uncertainty, and Risk. pp. 253-262. doi: 10.1061/9780784413609.026


Arheimer, B. and Lindström, L. (2013). Implementing the EU Water Framework Directive in Sweden. Chapter 11.20 in: Bloeschl, G., Sivapalan, M., Wagener, T., Viglione, A. and Savenije, H. (Eds). Runoff Predictions in Ungauged Basins – Synthesis across Processes, Places and Scales. Cambridge University Press, Cambridge, UK. (p. 465) pp. 353-359.

Donnelly, C., Arheimer, B., Capell, R., Dahné, J., and Strömqvist, J. (2013). Regional overview of nutrient load in Europe – challenges when using a large-scale model approach, E-HYPE. IAHS Publ. 361:49-58.


Arheimer, B., Dahné J., and Donnelly, C. (2012). Climate change impact on riverine nutrient load and land-based remedial measures of the Baltic Sea Action Plan. Ambio 41 (6):600-612.

Arheimer, B., Dahné, J., Donnelly, C., Lindström, G., Strömqvist, J. (2012). Water and nutrient simulations using the HYPE model for Sweden vs. the Baltic Sea basin – influence of input-data quality and scale. Hydrology research 43(4):315-329.

Meier, M. H. E., Andersson, H. C., Arheimer, B., Blenckner, T., Chubarenko, B., Donnelly, C., Eilola, K., Gustafsson, B. G., Hansson, A., Havenhand, J., Höglund, A., Kuznetsov, I., MacKenzie, B. R., Müller-Karulis, B., Neumann, T., Niiranen, S., Piwowarczyk, J., Raudsepp, U., Reckermann, M., Ruoho-Airola, T., Savchuk, O. P., Schenk, F., Schimanke, S., Väli, G., Weslawski, J.-M., and Zorita, E. (2012). Comparing reconstructed past variations and future projections of the Baltic Sea ecosystem — first results from multi-model ensemble simulations. Environ. Res. Lett. 7 034005 doi:10.1088/1748-9326/7/3/034005

Strömqvist, J., Arheimer, B., Dahné, J., Donnelly, C. and Lindström, G. (2012). Water and nutrient predictions in ungauged basins – Set-up and evaluation of a model at the national scale. Hydrological Sciences Journal 57(2):229-247.


Arheimer, B., Dahné, J., Lindström, G. Marklund, L. and Strömqvist, J. (2011). Multi-variable evaluation of an integrated model system covering Sweden (S-HYPE). IAHS Publ. 345:145-150.

Arheimer, B., Wallman, P., Donnelly, C., Nyström, K. and Pers, C. (2011).  E-HypeWeb: Service for Water and Climate Information – and Future Hydrological Collaboration across Europe? In: J. Hřebíček, G. Schimak, and R. Denzer (Eds.): ISESS 2011, IFIP AICT 359: 657–666.

Donnelly, C., Strömqvist, J. and Arheimer, B. (2011). Modelling climate change effects on nutrient discharges from the Baltic Sea catchment: processes and results. IAHS Publ. 348:1-6.

Reckermann M., Langner, J., Omstedt,A., von Storch, H., Keevallik, S., Schneider, B., Arheimer, B., Meier, H.E.M. and Hünicke, B. (2011). BALTEX—an interdisciplinary research network for the Baltic Sea region. Environ. Res. Lett. 6 (2011) 045205 (11pp)


Lindström, G., Pers, C., Rosberg, J., Strömqvist, J. and Arheimer, B. (2010). Development and testing of the HYPE (Hydrological Predictions for the Environment) water quality model for different spatial scales. Hydrology Research 41.3–4, 295-319.

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