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.


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.

Gelfan, A., Gustafsson, D., Motovilov, Y., Arheimer, B., Kalugin, A., Krylenko, I. and Lavrenov, A. (2016). Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues. Climatic Change. DOI: 10.1007/s10584-016-1710-5

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

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

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.

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.

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

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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