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.


Arciniega-Esparza, S., Birkel, C., Chavarria-Palma, A., Arheimer, B., Agustin Brena-Naranjo, J. Remote sensing-aided rainfall-runoff modeling in the tropics of Costa Rica (2022). Hydrology and Earth System Sciences, Vol. 26, no 4, p. 975-999, DOI: 10.5194/hess-26-975-2022


Bartosova, A., Arheimer, B., De Lavenne, A., Capell, R., Strömqvist, J. Large-Scale Hydrological and Sediment Modeling in Nested Domains under Current and Changing Climate (2021). Journal of hydrologic engineering, Vol. 26, issue 5, DOI: 10.1061/(ASCE)HE.1943-5584.0002078

Capell, R., Bartosova, A., Tonderski, K., Arheimer, B., et al. From local measures to regional impacts: Modelling changes in nutrient loads to the Baltic Sea (2021). Journal of Hydrology: Regional Studies, Vol 36. DOI: 10.1016/j.ejrh.2021.100867

Girons, M., Crochemore, L., Pechlivanidis, I. Benchmarking an operational hydrological model for providing seasonal forecasts in Sweden (2021). Hydrology and Earth System Sciences, Vol. 25, issue 3, p. 1189-1209, DOI: 10.5194/hess-25-1189-2021

Granath, G., Evans, C.D., Strengbom, J., Folster, J., Grelle, A., Strömqvist, J., Kohler, S. J. The impact of wildfire on biogeochemical fluxes and water quality in boreal catchments (2021). Biogeosciences, Vol. 18, nr 10, p. 3243-3261, DOI: 10.5194/bg-18-3243-2021

Photiadou, C., Arheimer, B., Bosshard, T., Capell, R., Elenius, M., Gallo, I., Gyllensvärd, F., Klehmet, K., Little, L., et al. Designing a Climate Service for Planning Climate Actions in Vulnerable Countries (2021). Atmosphere, Vol. 12, issue 1, DOI: 10.3390/atmos12010121

Pimentel, R., Arheimer, B. Hydrological impacts of a wildfire in a Boreal region: The Vastmanland fire 2014 (Sweden) (2021). Science of the Total Environment, Vol. 756, DOI: 10.1016/j.scitotenv.2020.143519

Olsson, J., Berg, P., and van de Beek, R.: Visualization of radar-observed rainfall for hydrological risk assessment (2021). Adv. Sci. Res., 18, p. 59–64, DOI: 10.5194/asr-18-59-2021

Stadnyk, T. A., Tefs, A., Broesky, M., Dery, S. J., Myers, P. G., Ridenour, N. A., Koenig, K., Vonderbank, L., Gustafsson, D. Changing freshwater contributions to the Arctic: A 90-year trend analysis (1981-2070) (2021). Elementa: Science of the Anthropocene, Vol. 9, issue 1, DOI: 10.1525/elementa.2020.00098

Ziogas, A. I., Pechlivanidis, I., et al. Climate service derived indicators to assess the impact of climate change on local river assimilative capacity (2021). Climate Services, Vol. 23, DOI: 10.1016/j.cliser.2021.100250


Arheimer, B., Pimentel, R., Isberg, K., Crochemore, L., Andersson, J. C. M., Hasan, A., and Pineda, L. (2020): Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation, Hydrol. Earth Syst. Sci., 24, 535–559,

Carolus, J.F., Bartosova, A., et al. (2020): Nutrient mitigation under the impact of climate and land-use changes: A hydro-economic approach to participatory catchment management, Journal of Environmental Management, Volume 271, 2020,

Contreras E, Herrero J, Crochemore L, Aguilar C, Polo MJ. Seasonal Climate Forecast Skill Assessment for the Management of Water Resources in a Run of River Hydropower System in the Poqueira River (Southern Spain). Water. 2020; 12(8):2119.

Contreras E, Herrero J, Crochemore L, Pechlivanidis I, Photiadou C, Aguilar C, Polo MJ. (2020): Advances in the Definition of Needs and Specifications for a Climate Service Tool Aimed at Small Hydropower Plants’ Operation and Management. Energies. 2020; 13(7):1827.

Crochemore, L., et al. Can Continental Models Convey Useful Seasonal Hydrologic Information at the Catchment Scale? (2020), Water resources research, Vol. 56(2), DOI: 10.1029/2019WR025700

de Niet J, Finger DC, Bring A, Egilson D, Gustafsson D, Kalantari Z. (2020): Benefits of Combining Satellite-Derived Snow Cover Data and Discharge Data to Calibrate a Glaciated Catchment in Sub-Arctic Iceland. Water. 2020; 12(4):975.

Du, T.L.T., Lee, H., Duong, B. D., Arheimer, B., Li, H-L., Olsson, J., et al. (2020): Streamflow prediction in “geopolitically ungauged” basins using satellite observations and regionalization at subcontinental scale, Journal of Hydrology, Volume 588, 2020.

Gidhagen, l., Olsson, J., et al. (2020) Towards climate services for European cities: Lessons learnt from the Copernicus project Urban SIS. Urban Climate, Vol 31. March 2020.

Giuliani, M., Crochemore, L., Pechlivanidis, I., and Castelletti, A.: From skill to value: isolating the influence of end user behavior on seasonal forecast assessment, Hydrol. Earth Syst. Sci., 24, 5891–5902,

Hundecha, Y., Arheimer, B., Berg, P. et al. (2020): Effect of model calibration strategy on climate projections of hydrological indicators at a continental scale. Climatic Change 163, 1287–1306 (2020).

Hundecha, Y., Parajka, J., Viglione, A., (2020): Assessment of past flood changes across Europe based on flood-generating processes. Hydrological Sciences Journal Vol. 65, No. 11, 1830-1847.

Lavers DA, Ramos M-H, Magnusson L, Pechlivanidis I, Klein B, Prudhomme C, Arnal L, Crochemore L, Van Den Hurk B, Weerts AH, Harrigan S, Cloke HL, Richardson DS, Pappenberger F. A. (2020): Vision for Hydrological Prediction. Atmosphere. 2020; 11(3):237.

Macian-Sorribes H., Pechlivanidis I.G., Crochemore L., Pulido-Velazquez M., 2020, ‘Fuzzy postprocessing to advance the quality of continental seasonal hydrological forecasts for river basin management’, Journal of Hydrometeorology, doi:

Massazza, G.; Tarchiani, V.; Andersson, J.C.M.; Ali, A.; Ibrahim, M.H.; Pezzoli, A.; De Filippis, T.; Rocchi, L.; Minoungou, B.; Gustafsson, D.; Rosso, M. (2020). Downscaling Regional Hydrological Forecast for Operational Use in Local Early Warning: HYPE Models in the Sirba River. Water, 12(12):3504.

Merks, J., Photiadou, C., Ludwig, F., Arheimer, B. (2020): Comparison of open access global climate services for hydrological data. Hydrological Sciences Journal 2020.

Musuuza, J., Gustafsson, D., Pimentel, R., Crochemore, L., Pechlivanidis, I. (2020). Impact of Satellite and In Situ Data Assimilation on Hydrological Predictions. Remote Sensing. 2020; 12(5):811. DOI: 10.3390/rs12050811

Wörman, A., Uvo C.B., Brandimarte, L., Busse, S., Crochemore, L., et al. (2020): Virtual energy storage gain resulting from the spatio-temporal coordination of hydropower over Europe. Applied Energy, Volume 272, 2020.

Pechlivanidis, I.G., Chrochemore, L., Rosberg, J., Bosshard, T. (2020): What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? Water Resources Research, Volume 56, Issue 6.

Pihlainen, S., Zandersen, M., Hyytiäinen, K., Andersen, H. E., Bartosova, A., Gustafsson, B., Jabloun, M., McCrackin, M., Meier, H. E. M., Olesen, J. E., Saraiva, S., Swaney, D., & Thodsen, H. (2020). Impacts of changing society and climate on nutrient loading to the Baltic Sea. Science of the Total Environment, 731, [138935].

Stadnyk, T.A., MacDonald, M.K., Tefs, A., Déry, J., Koenig, K., Gustafsson, D., Isberg, K., Arheimer, B. (2020): Hydrological modeling of freshwater discharge into Hudson Bay using HYPE. Elem Sci Anth, 8: 43.


Weichselgartner J. and Arheimer B., 2019. Evolving climate services into knowledge-action systems. Weather, Climate, and Society 11 (2): 385-399.

Iliopoulou, T., Aguilar, C., Arheimer, B., Bermúdez, M., Bezak, N., Ficchì, A., Koutsoyiannis, D., Parajka, J., Polo, M. J., Thirel, G., and Montanari, A. (2019). A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers, Hydrol. Earth Syst. Sci., 23, 73-91,

Olsson, J., Södling, J., Berg, P., Wern, L., and Eronn, A. (2019) Short-duration rainfall extremes in Sweden: a regional analysis, Hydrol. Res.

Sternberg Lewerin, S., Sokolova, E., Wahlström, H., Lindström, G., Pers, C., Strömqvist, J., and K. Sören (2019). Potential infection of grazing cattle via contaminated water: a theoretical approach. Animal,

Strömbäck, L., Pers, C., Strömqvist, J., Lindström, G., and Gustavsson, J. (2019). A web based analysis and scenario tool for eutrophication of inland waters for Sweden and Europe. Environmental Modelling & Software, 111:259-267,


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, 2018, 22, 989-1000,

Blenkinsop, S., Fowler, H. J., Barbero, R., Chan, S. C., Guerreiro, S. B., Kendon, E., Lenderink, G., Lewis, E., Li, X.-F., Westra, S., Alexander, L., Allan, R., Berg, P., Dunn, R. J. H., Ekström, M., Evans, J. P., Holland, G., Jones, R., Kjellström, E., Klein-Tank, A. et al (2018) The INTENSE project: using observations and models to understand the past, present and future of sub-daily rainfall extremes. Advances in Science and Research, 15. pp. 117-126.

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

Foster, K., Bertacchi Uvo, C., and Olsson, J. (2018): The development and evaluation of a hydrological seasonal forecast system prototype for predicting spring flood volumes in Swedish rivers, Hydrol. Earth Syst. Sci., 22, 2953-2970,, 2018.

Grahn, T., and Olsson, J. (2018) Insured flood damage in Sweden, 1987-2013, J. Flood Risk Manag., e12465, doi: 10.1111/jfr3.12465.

Gutiérrez JM, Maraun D, Widmann M, et al. (2018)  An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment. Int. J. Climatol. 2018 1–36.

Helmert, J., Lange, M., Dong, J., De Rosnay, P., Gustafsson, D., and 14 other co-authors (2018). 1st Snow Data Assimilation Workshop in the framework of COST HarmoSnow ESSEM 1404. Meteorologische Zeitschrift 27 (4), 325-333.

Jaramillo, F., Cory, N., Arheimer, B., Laudon, H., van der Velde, Y., Hasper, T. B., Teutschbein, C., and Uddling, J. (2018). Dominant effect of increasing forest biomass on evapotranspiration: interpretations of movement in Budyko space, Hydrol. Earth Syst. Sci., 22, 567-580.

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 

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.

Pechlivanidis I.G., Gupta H., and Bosshard T. (2018). An information theory approach to identifying a representative subset of hydro-climatic simulations for impact modeling studies, Water Resources Research,

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,

Räty, O., Räisänen, J., Bosshard, T. and Donnelly, C., 2018: Intercomparison of Univariate and Joint Bias Correction Methods in Changing Climate From a Hydrological Perspective. Climate, 6(2), p.33, 10.3390/cli6020033

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

Verma S, A Bartosova, M Markus, R Cooke, MJ Um and D Park. Quantifying the Role of Large Floods in Riverine Nutrient Loadings Using Linear Regression and Analysis of Covariance. Sustainability 2018, 10(8), 2876;

Verma S., M. Markus, A. Bartosova, and R.A. Cooke (2018). Intra-Annual Variability of Riverine Nutrient and Sediment Loadings Using Weighted Circular Statistics. Journal of Environmental Engineering, Volume 144 Issue 3 – March 2018;



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,

Andersson, J.C.M., Arheimer, B., Traore. F., Gustafsson, D.,Ali., A. (2017). Process refinements improve a hydrological model concept applied to the Niger River basin. Hydrological Processes Vol. 31, nr25, s. 4540-4554.

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

Blöschl, G., Hall, J., Parajka, J., Perdigão, R.A.P., Merz, B., Arheimer, B., et al (2017). Changing climate shifts timing of European floods. Science Vol. 357, Issue 6351, pp. 588-590.

Crochemore, L., Ramos, M.-H., Pappenberger, F., and Perrin, C. (2017): Seasonal streamflow forecasting by conditioning climatology with precipitation indices, Hydrol. Earth Syst. Sci., 21, 1573-1591,

Donnelly, C., Greuell, W., Andersson, J. et al. (2017): Impacts of climate change on European hydrology at 1.5, 2 and 3 degrees mean global warming above preindustrial level. Climatic Change Vol.143: 13-26.

Eisner, S., Flörke, M., Chamorro, A., Daggupati, P., Donnelly, C., Huang, J., Hundecha, Y., Koch, H.,Kalugin, A., Krylenko, I., Mishra, V., Piniewski, M., Samaniego, L., Seidou, O., Wallner, M., and Krysanova, V. (2017): An ensemble analysis of climate change impacts on streamflow seasonality across 11 large river basins. In Climate Change Vol 141: 401-417,

Fosser, G., Khodayar, S. & Berg, P. (2017) Climate change in the next 30 years: What can a convection-permitting model tell us that we did not already know?  Climate Dynamics , Vol 48, 1987-2003.

Gelfan, A., Gustafsson, D., Motovilov, Y., Arhemier, B., et al. (2017): Climate change impact on the water regime of two great Arctic rivers: modeling and uncertainty issues. Climatic Change  Vol. 141: 499-515.

Gosling, S. N., Zaherpour, J., Mount, N., Hattermann, F. F., Dankers, R., Arheimer, B., et al.(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 (2017) Vol 141, 577-595.

Hattermann, F.F., Krysanova, V., Gosling, S.N., Dankers, R., Daggupati, P., Donnelly, C., et al. (2017): Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins. Climatic Change, 141: 561-576.

Haerter, J. O., P. Berg, and C. Moseley (2017), Precipitation onset as the temporal reference in convective self-organization, Geophys. Res. Lett., 44, 6450–6459,

Huang, S., Kumar, R., Flörke, M., Yang, T., Hundecha, Y., et al. (2017): Evaluation of an ensemble of regional hydrological models in 12 large-scale river basins worldwide. Climatic Change Vol. 141: 381-397

Højberg, A.L., Hansen, A.L., Wachniew, P., Zurek, A.J., Virtanen, S., Arustiene, J., Strömqvist, J., et. al. (2017): Review and assessment of nitrate reduction in groundwater in the Baltic Sea Basin. Journal of Hydrology: Regional Studies, Vol 12:50-68.

Kotlarski, S. , Szabó, P. , Herrera, S. , Räty, O. , Keuler, K. , Soares, P. M., Cardoso, R. M., Bosshard, T. , Pagé, C. , Boberg, F. , Gutiérrez, J. M., Isotta, F. A., Jaczewski, A. , Kreienkamp, F. , Liniger, M. A., Lussana, C. and Pianko‐Kluczyńska, K. (2017), Observational uncertainty and regional climate model evaluation: a pan‐European perspective. Int. J. Climatol. . doi:10.1002/joc.5249

Krysanova, V., Vetter, T., Eisner, S., Huang, S., Pechlivanidis, I. G., Strauch, M., et. al. (2017). Intercomparison of regional-scale hydrological models in the present and future climate for 12 large river basins worldwide – A synthesis. Environmental Research Letters, in Press.

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,

Olsson, J., Pers, C., Bengtsson, L., Pechlivanidis, I., Berg, P., Körnich, H. (2017). Distance-dependent depth-duration analysis in high-resolution hydro-meteorological ensemble forecasting: A case study in Malmo City, Sweden. Environmental Modelling & Software,  Vol. 93, 381-397 s.

Pechlivanidis, I.G., Arheimer, B., Donnelly, C. et al. (2017): Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions. Climatic Change Volume 141: 467-481.

Pechlivanidis, I. G., McIntyre, N., & Wheater, H. S. (2017). The significance of spatial variability of rainfall on simulated runoff: an evaluation based on the Upper Lee catchment, UK. Hydrology Research, 48(4), 1118–1130.

Pimentel, R., Herrero, J. and Polo, M.J., (2017). Subgrid parameterization of snow distribution at a Mediterranean site using terrestrial photography. Hydr. Earth Syst. Sci. 21: 805-820.

Pimentel, R.; Herrero, J.; Polo, M.J. (2017) Quantifying Snow Cover Distribution in Semiarid Regions Combining Satellite and Terrestrial Imagery. Remote Sens. 9, 995.

Räty, O., Virta, H., Bosshard, T., & Donnelly, C. (2017). Regional climate model and model output statistics method uncertainties and the effect of temperature and precipitation on future river discharges in Scandinavia. Hydrology Research, 48 (5) 1363-1377.

Samaniego, L., Kumar, R., Breuer, L. et al. (2017): Propagation of forcing and model uncertainties on to hydrological drought characteristics in a multi-model century-long experiment in large river basins. Climatic Change Vol. 141: 435-449.

Selim, T., Persson, M., and J. Olsson (2017) Impact of spatial rainfall resolution on point source solute transport modelling, Hydrol. Sci. J. Vol 62 Issue 16: 2587-2596. doi: 10.1080/02626667.2017.1403029

Tonderski, K., Andersson, L., Lindström, G., St Cyr, R., Schönberg, R. & Taubald, H. (2017) Assessing the use of δ18O in phosphate as a tracer for catchment phosphorus sources. Science of The Total Environment, Volumes 607–608, 31 December 2017, Pages 1-10.

Vetter, T., Reinhardt, J., Flörke, M. Reinhardt, J., Flörke, M., van Griensven, A., Hatterman, F., Huand, S., Koch, H., Pechlivanidis, I., et al. (2017): Evaluation of sources of uncertainty in projected hydrological changes under climate change in 12 large-scale river basins. Climatic Change Vol. 141: 419-433.

Vesakoski J-M., Nylén, T., Arheimer, B., Gustafsson, D., et. Al. (2017): Arctic Mackenzie Delta channel planform evolution during 1983‐2013 utilising Landsat data and hydrological time series. Hydrological Processes, in Press.

White, C. J., Carlsen, H., Robertson, A. W., Klein, R. J.T., Lazo, J. K., Kumar, A., Vitart, F., Coughlan de Perez, E., Ray, A. J., Murray, V., Bharwani, S., MacLeod, D., James, R., Fleming, L., Morse, A. P., Eggen, B., Graham, R., Kjellström, E., Becker, E., Pegion, K. V., Holbrook, N. J., McEvoy, D., Depledge, M., Perkins-Kirkpatrick, S., Brown, T. J., Street, R., Jones, L., Remenyi, T. A., Hodgson-Johnston, I., Buontempo, C., Lamb, R., Meinke, H., Arheimer, B. and Zebiak, S. E. (2017): Potential applications of subseasonal-to-seasonal (S2S) predictions. Meteorological Applications, Vol. 24, nr 3, 315-325 s.

Wörman, A., Lindström, G., Riml, J. (2017): The power of runoff. Journal of Hydrology, Vol 548: 784-793.



Aggarwal, P. K., Romatschke, U., Araguas-Araguas, L., Belachew, D., Longstaffe, F. J., Berg, P., Schumacher, C., and Funk, A. (2016). Proportions of convective and stratiform precipitation revealed in water isotope ratios. Nature Geoscience, doi:10.1038/ngeo2739

Aich V., Liersch S., Vetter T., Fournet S., Andersson J.C.M., Calmanti S., van Weert F.H.A., Hattermann F.F., Paton E.N. (2016). Flood projections within the Niger River Basin under future land use and climate change. Science of the Total Environment, 562, 666-677,

Akselsson, C., Olsson, J., Belyazid, S., and R. Capell (2016) Can increased weathering rates due to future warming compensate for base cation losses at whole-tree harvesting?, Biogeochemistry, 128, 89-105, doi:10.1007/s10533-016-0196-6.

Arheimer, B., and B.C. Pers, (2016). Lessons learned? Effects of nutrient reductions from constructing wetlands in 1996-2006 across Sweden. Ecological Engineering,

Berg, P., Norin, L., and J. Olsson (2016) Creation of a high resolution precipitation data set by merging gridded gauge data and radar observations for Sweden, J. Hydrol., doi:10.1016/j.jhydrol.2015.11.031.

Crochemore, L., Ramos, M.-H., and Pappenberger, F. (2016): Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts, Hydrol. Earth Syst. Sci., 20, 3601-3618,

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. doi: 10.1002/wat2.1137

Falter, D., Dung, N.V., Vorogushyn, S., Schröter, K., Hundecha, Y., Kreibich, H., Apel, H., Theisselmann, F., and Merz, B. (2016): Continuous, large-scale simulation model for flood risk assessments: proof-ofconcept. Journal of Flood Risk Management 9: 3-21, doi: 10.1111/jfr3.12105

Hundecha, Y., Arheimer, B., Donnelly, C., and Pechlivanidis, I. (2016). A regional parameter estimation scheme for a pan-European multi-basin model. J. Hydrol: Regional Studies 6: 90-111, doi:10.1016/j.ejrh.2016.04.002

Hundecha, Y., Sunyer, M.A., Lawrence, D., Madsen, H., Willems, P., Buerger, G., Kriauciuniene, J., Loukas, A., Martinkova, M., Osuch, M., Vasiliades, L., von Christierson, B., Vormoor, K, and Yuecel, I. (2016). Inter-comparison of statistical downscaling methods for projection of extreme flow indices across Europe. J. Hydrol. 541: 1273-1286, doi:10.1016/j.jhydrol.2016.08.033

Hutton, C., Wagener, T., Freer, J., Han, D., Duffy, C. and Arheimer, B., (2016). Most computational hydrology is not reproducible, so is it really science?. Water Resour. Res.. 52(10):7548–7555. doi:10.1002/2016WR019285

Moseley, C., Hohenegger, C., Berg, P and Haerter, J.O. (2016) Intensification of convective extremes driven by cloud–cloud interaction, Nature Geoscience, pp748 – 752, doi:10.1038/ngeo2789

Nijzink R., Hutton C., Pechlivanidis I.G., Capell R., Arheimer B., Freer J., Han D., Wagener W., McGuire K., Savenije H., 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: Recent Progress and Current Issues. Climate 4(3), 39; doi:10.3390/cli4030039

Olsson, J., Uvo, C.B., Foster, K., and W. Yang (2016) Technical Note: Initial assessment of a multimethod approach to spring flood forecasting in Sweden, Hydrol. Earth System Sci., 20, 1-9, doi:10.5194/hess-20-1-2016.

Pechlivanidis I.G., Jackson B., McMillan H., Gupta H., (2016), ‘Robust informational entropy-based descriptors of flow in catchment hydrology’, Hydrological Sciences Journal, 61(1), 1-18, doi: 10.1080/02626667.2014.983516

Pechlivanidis I.G., Olsson J., Bosshard T., Sharma D., Sharma K.C., (2016), ‘Multi-basin modelling of future hydrological fluxes in the Indian subcontinent’, Water Journal, 8(5), 177, 1-21, doi: 10.3390/w8050177

Pers, C., Temnerud, J. and G. Lindström, (2016). Modelling water, nutrients, and organic carbon in forested catchments: a HYPE application. Hydrological Processes, 30(18):3252-3273, doi:10.1002/hyp.10830.

Roudier, P., Andersson, J.C.M., Donnelly, C., Feyen, L., Greuell, W., Ludwig, F. (2016 ). Projections of future floods and hydrological droughts in Europe under a +2°C global warming. Climatic Change, 135(2), 341-355,

Winterdahl, M., H. Laudon, S. W. Lyon, C. Pers, and K. Bishop (2016), Sensitivity of stream dissolved organic carbon to temperature and discharge: Implications of future climates, J. Geophys. Res. Biogeosci., 121, 126–144, doi:10.1002/2015JG002922.

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. Int. J. Environ. Res. Public Health, 13(3), 336. doi:10.3390/ijerph13030336



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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.

Archfield, S.A., Clark, M., Arheimer, B., Hay, L.E., McMillan, H., Kiang, J.E., Seibert, J.,  Hakala, K., Bock, A., Wagener, T., Farmer, W.H., Andréassian, V., Attinger, S., Viglione, A., Knight, R., Markstrom, S. and Over, T. (2015). Accelerating advances in continental domain hydrologic modelling. Water Resources Research 51(12):10078–10091. doi:10.1002/2015WR017498

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Berg, P, Döscher, R, and Koenigk, T (2015) On the effects of constraining atmospheric circulation in a coupled atmosphere-ocean Arctic regional climate model, Climate Dynamics, DOI:10.1007/s00382-015-2783-y

Berg, P., Norin, L., and Olsson, J. (2015) Creation of a high resolution precipitation data set by merging gridded gauge data and radar observations for Sweden, Journal of Hydrology, doi:10.1016/j.jhydrol.2015.11.031

Bergström, S. & Lindström, G. (2015) Interpretation of runoff processes in hydrological modelling – experience from the HBV approach. Hydrol. Process. 29, 3535–3545 (2015) Published online 26 May 2015 in Wiley Online Library, DOI: 10.1002/hyp.10510

Ceola, S., Arheimer, B., Blöschl, G., Baratti, E., Capell, R., Castellarin, A., Freer, J., Han, D., Hrachowitz, M., Hundecha, Y., Hutton, C., Lindström, G., Montanari, A., Nijzink, R., Parajka, J., Toth, E., Viglione, A., and Wagener, T. (2015) Virtual laboratories: new opportunities for collaborative water science, Hydrol. Earth Syst. Sci., 19, 2101-2117, doi:10.5194/hess-19-2101-2015. 

Eggert B, P Berg, JO Haerter, D Jacob, C Moseley (2015) Temporal and spatial scaling impacts on extreme precipitation, Atmospheric Chemistry and Physics 15 (10), 5957-5971

Falter, D., Schröter, K., Dung, N.V., Vorogushyn, S., Kreibich, H., Hundecha, Y., Apel, H., Merz, M. (2015). Spatially coherent flood risk assessment based on long-term continuous simulation with a coupled model chain. J. Hydrol. 524, 182 – 193.

Haerter, JO, B Eggert, C Moseley, C Piani, P Berg (2015) Statistical precipitation bias correction of gridded model data using point measurements, Geophysical Research Letters 42 (6), 1919-1929

Koenigk, T., P. Berg, R. Döscher, (2015) Arctic climate change in an ensemble of regional CORDEX simulations. Polar Research 2015, 34, 24603,

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Pechlivanidis I.G., Anastasiadis S., and Lekkas D.F., (2015). Development and testing of the MWBMT toolbox to predict runoff response at the poorly gauged catchment of Mornos, Greece European Water 49:3-18.

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.

Pechlivanidis I.G., Jackson B., McMillan H., Gupta H., (2015). Robust informational entropy-based descriptors of flow in catchment hydrology, Hydrologic Sciences Journal, doi: 10.1080/02626667.2014.983516

Roudier, P., Andersson, J. C. M., Donnelly, C., Feyen, L., Greuell, W., Ludwig, F. (2015). Projections of future floods and hydrological droughts in Europe under a +2°C global warming. Climatic Change 2015, 135, 341-355 (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.



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.

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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

Hall, J., Arheimer, B., Borga, M, Brázdil, R., Claps, P., Kiss, A., Kjeldsen, T.R., Kriaučiūnienė, J., Kundzewicz, Z., Lang, M., Llasat, M.C., Macdonald, N., McIntyre, N., Mediero, L., Merz, B., Merz, R., Molnar, P., Montanari, A., Neuhold, C., Parajka, J., Perdigão, R.A. P., Plavcová, L., Rogger, M., Salinas, J.L., Sauquet, E., Schär, C., Szolgay, J., Viglione, A., and Blöschl, G. (2014). Understanding Flood Regime Changes in Europe: A state of the art assessment, Hydrol. Earth Syst. Sci. (HESS), 18, 2735–2772 (doi:10.5194/hess-18-2735-2014)

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.

Olsson, J., and K. Foster (2014) Short-term precipitation extremes in regional climate simulations for Sweden: historical and future changes, Hydrol. Res., 45.3, 479-489, doi:10.2166/nh.2013.206.

Pechlivanidis G.I., Keramaris E., Pechlivanidis I.G., Samaras G.A., (2014). Shear stress estimation in the linear zone over impermeable and permeable beds in open channels, Desalination and Water Treatment, doi: 10.1080/19443994.2014.933622

Pechlivanidis I.G., Jackson B., McMillan H., Gupta H., (2014). Use of an entropy-based metric in multi-objective calibration to improve model performance, Water Resources Research, 50, 8066-8083, doi: 10.1002/2013WR014537 

Pisinaras V., Yang W., Bärring, L., Gemitzi, A., (2014). Conceptualizing and assessing the effects of installation and operation of photovoltaic power plants on major hydrologic budget constituents. Science of The Total Environment 06/2014; 493C:239-250. DOI: 10.1016/j.scitotenv.2014.05.132

Rana, A., Foster, K., Bosshard, T., Olsson, J., and L. Bengtsson (2014) Impact of climate change on rainfall over Mumbai using Distribution-Based Scaling of Global Climate Model projections, J. Hydrol. Reg. Stud., 1, 107-128, doi: 10.1016/j.ejrh.2014.06.005.

Westra, S., Fowler, H. J., Evans, J. P., Alexander, L. V., Berg, P., Johnson, F., Kendon, E. J., Lenderink, G., and Roberts, N. M. (2014), Future changes to the intensity and frequency of short‐duration extreme rainfall. Reviews of Geophysics, 52(3), 522-555, DOI:10.1002/2014RG000464

Wilks, J., Hjerpe, M., Yang, W., and Fan, H. (2014). Farm-scale Adaptation to Extreme Climate and Rapid Economic Transition. Environment, Development and Sustainability. Doi: 10.1007/s10668-014-9549-2.



Anastasiadis S., Boglis A., Pechlivanidis I.G., Lekkas D.F., Baltas E., 2013, ‘Application of GIS-based Clark’s Unit hydrograph and transfer function model to describe runoff response in a small catchment – Case study: Lykoremma River, Greece’, Fresenius Environmental Bulletin, 22(7B), 2152-2158.

Andersson, J.C.M., Zehnder, A.J.B., Wehrli, B., Jewitt, G.P.W., Abbaspour, K.C., Yang, H. (2013). Improving crop yield and water productivity by ecological sanitation and water harvesting in South Africa. Environmental Science & Technology, in press,

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.

Arnbjerg-Nielsen, K., Willems, P., Olsson, J., Beecham, S., Pathirana, A., Bülow Gregersen, I., Madsen, H., and V.T.V. Nguyen (2013) Impacts of climate change on rainfall extremes and urban drainage systems: a review, Water Sci. Technol., 68, 16-28, doi:10.2166/wst.2013.251.

Berg, P., Ch. Moseley, and J.O. Haerter, Strong increase in convective precipitation in response to higher temperatures, Nature Geoscience, 6(3), 181-185, doi:10.1038/NGEO1731

Berg, P., R. Döscher, and T. Koenigk (2013) Impacts of using spectral nudging on regional climate model RCA4 simulations of the Arctic,Geoscientific Model Development Discussions, 6, 495-520, doi:10.5194/gmdd-6-495-2013


Berg, P., Wagner, S., Kunstmann, H., and Schädler, G.: High resolution regional climate model simulations for Germany: part I—validation, Clim. Dyn., 40:1-2, 401-414, doi:10.1007/s00382-012-1508-8, 2013

Feiccabrino J, Gustafsson D, Lundberg A, 2013. Surface-based precipitation phase determination methods in hydrological models. Hydrology Research Vol 44 No 1 pp 44–57. doi:10.2166/nh.2012.158

Holländer, H. M., Bormann, H., Blume, T., Buytaert, W., Chirico, G. B., Exbrayat, J.-F., Gustafsson, D., Hölzel, H., Krauße, T., Kraft, P., Stoll, S., Blöschl, G., and Flühler, H.: Impact of modellers’ decisions on hydrological a priori predictions, Hydrol. Earth Syst. Sci. Discuss., 10, 8875-8944, doi:10.5194/hessd-10-8875-2013, 2013

Hrachowitz, M., Savenije, H.H.G., Blöschl, G., McDonnell, J.J., Sivapalan, M., Pomeroy, J.W., Arheimer, B., Blume, T., Clark, M.P., Ehret, U., Fenicia, F., Freer, J.E., Gelfan, A., Gupta, H.V., Hughes, D.A., Hut, R.W., Montanari, A., Pande, S., Tetzlaff, D., Troch, P.A., Uhlenbrook, S., Wagener, T., Winsemius, H.C., Woods, R.A., Zehe, E. and Cudennec, C., 2013. A decade of Predictions in Ungauged Basins (PUB) – a review. Hydrological Sciences Journal, 58(6):1198-1255, DOI:10.1080/02626667.2013.803183

Lucas-Picher, P., F. Boberg, J.H. Christensen, and P. Berg (2013) Dynamical downscaling with reinitializations: a method to generate finescale climate datasets suitable for impact studies,Journal of Hydrometeorology, 14,1159–1174, doi10.1175/JHM-D-12-063.1:

Montanari, A., Young , Savenije, G., H., Hughes, D. , Wagener, T., Ren, L., Koutsoyiannis, D., Cudennec, C., Grimaldi, S., G. Bloeschl, G., Sivapalan, M., Beven, K., Gupta, H., Arheimer, B., Huang, Y., Schumann, A., Post, D., Srinivasan, V., Boegh, E., Hubert, P., Harman, C., Thompson, S., Rogger, M., Hipsey, M., Toth, E., Viglione, A., Di Baldassarre, G., Schaefli, B., McMillan, H., Schymanski, S.J., Characklis, G., Yu, B., Pang, Z., Belyaev, V., 2013. “Panta Rhei – Everything Flows”: Change in hydrology and society – The IAHS Scientific Decade 2013-2022. Hydrological Sciences Journal, 58(6):1256-1275, doi:10.1080/02626667.2013.809088.

Moseley, C., Berg, P., and Haerter J.O. (2013) Probing the precipitation life cycle by iterative rain cell tracking, JGR-atmospheres, 18, 1-10, doi:10.1002/2013JD020868

Olsson, J., Simonsson, L., and M. Ridal (2013) Rainfall nowcasting: predictability of short-term extremes in Sweden, Urban Water, Doi: 10.1080/1573062X.2013.847465.

Olsson, J., Yang, W. and Bosshard, T.: Climate model precipitation in hydrological impact studies: limitations and possibilities. Journal of Water Management and Research 69:221-230, 2013.

Ott, I., D. Duethmann, J. Liebert, P. Berg, H. Feldmann, J. Ihringer, H. Kunstmann, B. Merz, G. Schaedler, and S. Wagner (2013)High-Resolution Climate Change Impact Analysis on Medium-Sized River Catchments in Germany: An Ensemble Assessment, Journal of Hydrometeorology, 14(4), 1175-1193, doi:10.1175/JHM-D-12-091.1

Rana, A., Bengtsson, L., Jothiprakash, D., Singh., W., and J. Olsson (2013) Development of IDF-curves for tropical india by random cascade modeling, Hydrol. Earth Syst. Sci. Discuss., 10, 4709-4738, doi:10.5194/hessd-10-4709-2013.

Rasmus, S., Gustafsson, D., Koivusalo, H., Laurén, A., Grelle, A., Kauppinen, O.-K., Lagnvall, O., Lindroth, A., Rasmus, K., Svensson, M. and Weslien, P. (2013), Estimation of winter leaf area index and sky view fraction for snow modelling in boreal coniferous forests: consequences on snow mass and energy balance. Hydrol. Process., 27: 2876–2891. doi: 10.1002/hyp.9432

Wagner, S., Berg, P., Schädler, G., and Kunstmann, H.: High resolution regional climate model simulations for Germany: part II—projected climate changes, Clim. Dyn., 40:1-2, 415-427, doi:10.1007/s00382-012-1510-1



Andersson, Jafet C.M., Alexander J.B. Zehnder, Bernhard Wehrli, and Hong Yang, 2012. Improved SWAT Model Performance with Time-Dynamic Voronoi Tessellation of Climatic Input Data in Southern Africa. Journal of the American Water Resources Association (JAWRA) 48(3): 480-493. DOI: 10.1111 ⁄ j.1752-1688.2011.00627.x

Amaguchi, H., Kawamura, A., Olsson, J., and T. Takasaki (2012) Development and testing of a distributed urban storm runoff event model with a vector-based catchment delineation, J. Hydrol., 420–421, 205–215, doi:10.1016/j.jhydrol.2011.12.003.

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.

Berg, P., and Haerter, J.O.: Unexpected increase in precipitation intensity with temperature – A result of mixing of precipitation types?, Atm. Res., 119, 56-61, doi:10.1016/j.atmosres.2011.05.012, 2012

Donnelly, C., Rosberg, J. and Isberg, K. A validation of river routing networks for catchment modelling from small to large scales. 2012. Hydrology Research, special issue, Large-Scale Hydrology (in press) doi:10.2166/nh.2012.341.

Jebari, S., Berndtsson, R., Olsson, J., and A. Bahri (2012), Soil erosion estimation based on rainfall disaggregation, J. Hydrol., 436-437, 102-110, doi: 10.1016/j.jhydrol.2012.03.001.

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

Musselman, K.N., N.P. Molotch, S.A. Margulis, M. Lehning, and D. Gustafsson (2012), Improved snowmelt simulations with a canopy model forced with photo-derived direct beam canopy transmissivity, Water Resour. Res., 48, W10509, doi:10.1029/2012WR012285.

Olsson, J., Amaguchi, H., Alsterhag, E., Dåverhög, M., Adrian, P.-E., and A. Kawamura (2012) Adaptation to climate change impacts on urban flooding: a case study in Arvika, Sweden, Clim. Chang., 116, 231-247, doi:10.100/s10584-012-0480-y.

Olsson, J., Gidhagen, L., Gamerith, V., Gruber, G., Hoppe, H., and P. Kutschera (2012) Downscaling of short-term precipitation from Regional Climate Models for sustainable urban planning, Sustainability, 4, 866-887, doi:10.3390/su4050866.

Olsson, J., Willén, U., and A. Kawamura (2012) Downscaling extreme Regional Climate Model (RCM) precipitation for urban hydrological applications, Hydrol. Res., 43, 341-351.

Ruete A., Yang W., Bärring L., Stenseth N. C. & Snäll T., 2012: Disentangling effects of uncertainties on population projections: climate change impact on an epixylic bryophyte. Proc. R. Soc. B, rspb20120428; published online, doi:10.1098/rspb.2012.0428

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.

Willems, P., Arnbjerg-Nielsen, K., Olsson, J., and V.T.V. Nguyen (2012) Climate change impact assessment on urban rainfall extremes and urban drainage: methods and shortcomings, Atmos. Res., 103, 106-118, doi:10.1016/j.atmosres.2011.04.003.

Willems, P., Olsson, J., Arnbjerg-Nielsen, K., Beecham, S., Pathirana, A., Bülow Gregersen, I., Madsen, H., and V.-T.-V. Nguyen (2012) Impacts of Climate Change on Rainfall Extremes and Urban Drainage Systems, IWA Publishing, London, UK.



Alkan Olsson, J., Jonsson, A., Andersson, L., and Arheimer, B. 2011, A model supported participatory process: a socio-legal analysis of a bottom up implementation of the EU Water Framework Directive. International J. of Agricultural Sustainability 9(2), 379-389

Arheimer, B., Lindström, G. and Olsson, J. 2011. A systematic review of sensitivities in the Swedishflood-forecasting system. Atmospheric Research 100:275–284.

Gleeson, T., Marklund, L., Smith. L. and Manning, A.H., 2011. “Classifying the water table at regional to continental scales”, Geophysical. Research. Letters., Vol. 38, L05401, 6pp.

Graham, L.P., Andersson, L., Horan, M., Kunz, R., Lumsden, T., Schulze, R.,Warburton, M., Wilk, J. and Yang, W., 2011. “Using multiple climate projections for assessing hydrological response to climate change in the Thukela River Basin, South Africa”, Physics and Chemistry of the Earth., Vol. 36, 727-735.

Jin, Y.-H., Kawamura, A., Park, S.-C., Amaguchi, H., Nakagawa, N., and J. Olsson (2011) Spatiotemporal classification of environmental monitoring data in the Yeongsan River basin, Korea, using self-organizing map, J. Environ. Monit., 13, 2886-2894, doi: 10.1039/c1em10132c.

Jonsson, A.C., Andersson, L., Alkan Olsson, J, Jonsson, M.,2011, Defining goals in participatory water management: merging local visions and expert judgements. Journal of Environmental Planning and Management. Vol. 54, No. 7, 909-935.

Olsson, J., Gidhagen, L., and Kawamura, A., (2011), Downscaling of Short-Term Precipitation Time Series for Climate Change Impact Assessment, in J. Hřebíček, G. Schimak, and R. Denzer (Eds.): ISESS 2011, IFIP AICT 359, pp. 625–630.

Olsson, J., Yang, W., Graham, L.P., Rosberg, J., and J. Andréasson (2011) Using an ensemble of climate projections for simulating recent and near-future hydrological change to Lake Vänern in Sweden, Tellus, 63A, 126–137.

Pappenberger, Bogner, K., F, Wetterhall, F., He, Y., Cloke, H., Thielen, J., (2011) Fixed-convergence score: A forecaster’s approach to analysing hydro-meteorological forecast systems, Advances in Geosciences, 29, 27-32.

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)

Teutschbein, C., Wetterhall, F. Seibert, J., (2011) Evaluation of Different Downscaling Techniques for Hydrological Climate- Change Impact Studies at the Catchment Scale, Climate Dynamics, Vol. 37, No. 9-10, 2087-2105.

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Cloke HL, Jeffers C, Wetterhall F, Byrne T, Pappenberger F, Lowe J. (2010) Climate impacts on river flow: projections for the Medway catchment UK with UKCP09 and CATCHMOD, Hydrological Processes, 24, 3476-3489.

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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.

Maraun, D., F. Wetterhall, A. M. Ireson, R. E. Chandler, E. J. Kendon, M. Widmann, S. Brienen, H.W. Rust, T. Sauter, M. Themessl, V. K. C. Venema, K. P. Chun, C. M. Goodess, R. G. Jones, C. Onof, M. Vrac, I. Thiele-Eich, (2010) Precipitation downscaling under climate change. Recent developments to bridge the gap between dynamical models and the end user, Reviews of Geophysics, Vol 48.

Temnerud J, Fölster J, Buffam I, Laudon H, Erlandsson M, Bishop K, 2010. Can the distribution of headwater stream chemistry be predicted from downstream observations? Hydrological Process 24(16), 2269-2276.

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Breuer, L. Huisman, J.A., Willems, P., Bormann, H., Bronstert, A., Croke, B.F.W., Frede, H.-G., Gräff, T., Hubrechts, L., Jakeman, A.J., Kite, G., Lanini, J., Leavesley, G., Lettenmaier, D.P., Lindström, G., Seibert, J., Sivapalan & M. Viney, N.R. (2009) Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM). I: Model intercomparison with current land use. Advances in Water Resources, 32, 129–146.

Dahlke, H., Behrens, T., Seibert, J., Andersson, L, (2009). Test of statistical means for the extrapolation of soil depth point information using overlays of spatial environmental data and bootstrapping techniques. Hydrological Processes. Vol. 23, 3017-3029.

Fredrik Wetterhall & András Bárdossy & Deliang Chen & Sven Halldin & Chong-yu Xu, Statistical downscaling of daily precipitation over Sweden using GCM output, Theoretical and Applied Climatology, (2009) 96:95–103.

Graham, L.P., Olsson, J., Rosberg, J., Hellström, S.-S., Kjellström, E., and R. Berndtsson (2009) Simulating river flow to the Baltic Sea from climate simulations over the past millennium, Boreal Env. Res., 14, 173-182.

Hejzlar J., Anthony S., Arheimer B., Behrendt H., Bouraoui F., Grizzetti B., Groenendijk P., Jeuken M. H. J. L., Johnsson H., Lo Porto A., Kronvang B., Panagopoulos Y., Siderius C., Silgram M., Venohr M. and Žaloudík J. 2009. Nitrogen and phosphorus retention in surface waters: an inter-comparison of predictions by catchment models of different complexity. J. Environ. Monit., 11(3):584-593.

Huisman, J.A., Breuer, L., Bormann, H., Bronstert, A., Croke, B.F.W., Frede, H.-G., Gräff, T., Hubrechts, L., Jakeman, A.J., Kite, G., Lanini, J., Leavesley, G., Lettenmaier, D.P., Lindström, G., Seibert, J., Sivapalan, M., Viney, N.R. & Willems, P. (2009) Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III: Scenario analysis. Advances in Water Resources, 32, 159–170.

Kronvang B., Behrendt H., Andersen H. E., Arheimer B., Barr A., Borgvang S. A., Bouraoui F., Granlund K., Grizzetti B., Groenendijk P., Schwaiger E., Hejzlar J., Hoffman L., Johnsson H., Panagopoulos Y., Lo Porto A., Reisser H., Schoumans O., Anthony S., Silgram M., Venohr M. and Larsen S. E. 2009. Ensemble modelling of nutrient loads and nutrient load partitioning in 17 European catchments. J. Environ. Monit., 11(3):572-583.

Olsson, J., Berggren, K., Olofsson, M., and M. Viklander (2009) Applying climate model precipitation scenarios for urban hydrological assessment: a case study in Kalmar City, Sweden, Atmos. Res., 92, 364-375.

Schoumans O., Silgram M., Groenendijk P., Bouraoui F., Andersen H.E., Krongvang B., Behrendt H., Arheimer B., Johnsson H., Panagopoulos Y., Mimikou M., Lo Porto A., Reisser H., Le Gall G., Barr A., Anthony S.G., 2009. Description of nine nutrient loss models: capabilities and suitability based on their characteristics. J. Environ. Monit., 11(3):506-514.

Schoumans O.F., Silgram M., Walvoort D.J.J., Groenendijk P., Bouraoui F., Andersen H.E., Lo Porto A., Reisser H., Le Gall G., Anthony S., Arheimer B., Johnsson H., Panagopoulos Y., Mimikou M., Zweynert U., Behrendt H., Barr A. 2009. Evaluation of the difference of eight model applications to assess diffuse annual nutrient losses from agricultural land. J. Environ. Monit., 11(3):540-553.

Silgram M., Anthony S.G., Collins A.L., Strömqvist J., Bouraoui F., Schoumans O., Lo Porto A., Groenendijk P., Arheimer B., Mimikou M. and Johnsson H., 2009. Evaluation of diffuse pollution model applications in EUROHARP catchments with limited data. J. Environ. Monit.,11(3):554-572.

Silgram M., Schoumans O. F., Walvoort D.J.J., Anthony S.G., Groenendijk P., Strömqvist J., Bouraoui F., Arheimer B., Kapetanaki M., Lo Porto A. and Mårtensson K. 2009. Subannual models for catchment management: evaluating model performance on three European catchments. J. Environ. Monit., 11(3):526-539.

Viney, N.R., Bormann, H., Breuer, L., Bronstert, A., Croke, B.F.W., Frede, H., Gräff, T., Hubrechts, L., Huisman, J.A., Jakeman, A.J., Kite, G.W., Lanini, J., Leavesley, G., Lettenmaier, D.P., Lindström, G., Seibert, J., Sivapalan, M. & Willems P. (2009) Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) II: Ensemble combinations and predictions. Advances in Water Resources, 32, 147–158.



Andersson, L., Alkan Olsson, J, Arheimer, B, and Jonsson, A. (2008) Use of participatory scenario modelling as a platform in stakeholder dialogues. Water SA 34 (4) HELP Special Edition.

Olsson, J. & Lindström, G. (2008) Evaluation and calibration of operational hydrological ensemble forecasts in Sweden. Journal of Hydrology, 350, 14-24.

Persson, M., and J. Olsson (2008) Scaling analyses of high-resolution dye tracer experiments, Hydrol. Sci. J., 53, 1286-1299.



Alkan Olsson, J., Andersson, L., 2007. Possibilities and problems with the use of hydrological models as a communication tool in water management. Special Issue WARM / Advances in Global Change Research, Water Resources Management 21, 97-110.

Arheimer, B., Andersson, L., Alkan-Olsson, J. & Jonsson, A. (2007) Using catchment models for establishment of remedy plans according to the WFD. Water Science and Technology 56, 21-28.

Graham, L.P., Andréasson, J. and Carlsson, B., 2007. Assessing climate change impacts on hydrology from an ensemble of regional climate models, model scales and linking methods – a case study on the Lule River Basin. Climatic Change 81, 293-307.

Johnell, A., Lindström, G., and J.Olsson, (2007) Deterministic evaluation of ensemble stream flow predictions in Sweden, Nordic Hydrology, 38, 441-450.

Jonsson, A., Andersson, L., Alkan Olsson, J. & Arheimer, B. (2007) How participatory can participatory modeling be? A discussion of the degree of influence and stakeholder and expert perspectives in six dimensions of participatory modeling. Water Science and Technology 56, 207-214.

Nishiyama, K., Endo, S., Jinno, K., Uvo, C.B., Olsson, J., and R. Berndtsson, (2007) Identification of typical synoptic patterns causing heavy rainfall in the rainy season in Japan by a Self-Organizing Map, Atmos. Res., 83, 185-200.

Olsson, J., and Persson, M., and K. Jinno, (2007) Analysis and modeling of solute transport by breakdown coefficients and random cascades, Water Resources. Research., 43, 14 pp.

Rosberg, J. and Arheimer, B. 2007. Modelling climate change impact on phosphorus load in Swedish rivers. In: Water Quality and Sediment Behaviour of the Future: Predictions for the 21st Century, IAHS Publ.314:90-97.

Wetterhall, F., Halldin, S. & Xu, C-Y., 2007, Seasonality properties of four statistical-downscaling methods in central Sweden, Theoretical and Applied Climatology, Vol 87/1-4, pp 123-137.



Andersson, L., Wilk, J., Hughes, D., Kniveton, D., Layberry, R., Todd, M., and Savenije, H., 2006. Scenarios of the impact of changes of climate and water use on flow in the Okavango river. J. Hydrol. 331:43-57.

Arheimer, B. 2006. Evaluation of water quantity and quality modelling in ungauged European basins. In: Prediction in Ungauged Basins: Promises and Progress. IAHS Publ. 303:99-107.

Graham P., Andréasson J. and Persson G. 2006. Impacts of future climate change and sea level rise in the stockholm Region: Part I- The effect on water levels in Lake Mälaren. In: Schmidt-Thomé P. (ed.) Sea Level Change Affecting the Spatial Development of the baltic Sea Region. Geological Survey of Finland, Special Paper 41, Espoo. 131-141.

Hughes, D., Andersson, L., Wilk, J., Savenije, H., Regional calibration of the Pitman model for the Okavango River. J. Hydrol. 331: 45-57.

Olsson, J., (2006) Spatio-temporal precipitation error propagation in runoff modelling: a case study in central Sweden, Natural Hazards Earth System Sci., 6, 597-609.

Verthoeven, J.T.A., Arheimer, B., Yin, C., Hefting, M.M. 2006. Regional and global concerns over wetlands and water quality. Trends in Ecology and Evolution 21(2):96-103.

Wetterhall, F., A. Bárdossy, D. Chen, S. Halldin, and C. Xu (2006), Daily precipitation-downscaling techniques in three Chinese regions, Water Resour. Res., 42, W11423, 13 pp.

Wilk, J., Kniveton, D., Andersson, L., Layberry, R., Todd, M., Hughes, D., Ringrose, S., Vanderpost, C. Estimating rainfall and water balance over the Okavango River Basin for hydrological applications. Delta. J. Hydrol. 331:18-29.