Bergström, S.: The HBV model (Chapter 13), in: Computer Models of Watershed Hydrology, edited by: Singh, V. P., Water Resources Publications, Highlands Ranch, Colorado, USA, 443–476, 1995.
Beven, K. and Binley, A.: Future of distributed models: Model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, 1992.
Beven, K. J.: Environmental Modelling: An Uncertain Future?, Routledge London, 310 pp., 2009.
Binley, A. and Beven, K.: Vadose Zone Flow Model Uncertainty as Conditioned on Geophysical Data, Ground Water, 41, 119–127, 2003.
Bonell, M., McDonnell, J. J., Scatena, F. N., Seibert, J., Uhlenbrook, S., and Van Lanen, H. A. J.: HELPing FRIENDs in PUBs: charting a course for synergies within international water research programmes in gauged and ungauged basins, Hydrol. Process., 20, 1867–1874, 2006.
Eng, K. and Milly, P. C. D.: Relating low-flow characteristics to the base flow recession time constant at partial record stream gauges, Water Resour. Res., 43, W01201, https://doi.org/10.1029/2006WR005293, 2007.
Eriksson, B.: Den potentiella evaporationen i Sverige, Swedish Meteorological and Hydrological Institute, SMHI, 40 pp., 1981 (in Swedish, The potential evaporation in Sweden).
Eriksson, B.: Data rörande Sveriges Nederbördsklimat-Normalvärden för perioden 1951–80 (Data concerning the precipitation climate of Sweden-Normal values for the period 1951–80), SMHI Rapport, Norrköping, 92 pp., 1983 (in Swedish).
Harlin, J. and Kung, C. S.: Parameter uncertainty and simulation of design floods in Sweden, J. Hydrol. (Amsterdam), 137, 209–230, 1992.
Hughes, D., Greenwood, P., Coulson, G., Blair, G., Pappenberger, F., Smith, P., and Beven, K.: GridStix: Supporting Flood Prediction using Embedded Hardware and Next Generation Grid Middleware, International Workshop on Wireless Mobile Multimedia, 621–626, 2006.
Kavetski, D., Kuczera, G., and Franks, S. W.: Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory, Water Resour. Res., 42, W03407, https://doi.org/10.1029/2005WR004368, 2006.
Kuczera, G., Kavetski, D., Franks, S., and Thyer, M.: Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters, J. Hydrol., 331, 161–177, 2006.
Lindström, G., Johansson, B., Persson, M., Gardelin, M., and Bergström, S.: Development and test of the distributed HBV-96 hydrological model, J. Hydrol., 201, 272–288, 1997.
Mantovan, P. and Todini, E.: Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology, J. Hydrol., 330, 368–381, 2006.
McIntyre, N., Lee, H., Wheater, H., Young, A., and Wagener, T.: Ensemble predictions of runoff in ungauged catchments, Water Resour. Res., 41, 3307–3323, 2005.
Perrin, C., Oudin, L., Andreassian, V., Rojas-Serna, C., Michel, C., and Mathevet, T.: Impact of limited streamflow data on the efficiency and the parameters of rainfall-runoff models, Hydrolog. Sci. J., 52, 131–151, 2007.
Rode, M., Suhr, U., and Wriedt, G.: Multi-objective calibration of a river water quality model–-Information content of calibration data, Ecol. Modell., 204, 129–142, 2007.
Rojas-Serna, C., Michel, C., Perrin, C., and Andreassian, V.: Ungauged catchments: how to make the most of a few streamflow measurements?, Large Sample Basin Experiments for Hydrological Model Parameterization: Results of the Model Parameter Experiment – MOPEX, IAHS publication, 307, 230–236, 2006.
Seibert, J.: Estimation of parameter uncertainty in the HBV model, Nord. Hydrol., 28, 247–262, 1997.
Seibert, J.: Regionalisation of parameters for a conceptual rainfall-runoff model, Agr. Forest Meteorol., 98, 279–293, 1999.
Seibert, P.: Hydrological characteristics of the NOPEX research area, Undergraduate thesis, Institute of Earth Sciences/Hydrology, Uppsala University, Uppsala, Sweden, 51 pp., 1994.
Sivapalan, M., Schaake, J., and Sapporo, J.: PUB Science and Implementation Plan, V5., online available at: http://pub.iwmi.org/UI/Images/PUB_Science_Plan_V_5.pdf, IAHS Decade on Predictions in Ungauged Basins (PUB), 2003a.
Sivapalan, M., Takeuchi, K., Franks, S., Gupta, V. K., Karambiri, H., Lakshmi, V., Liang, X., McDonnell, J., Mendiondo, E., O'Connell, E. P., Oki, T., Pomeroy, J. W., Schertzer, D., Uhlenbrook, S., and Zehe, E.: IAHS decade on predictions in ungauged basins (PUB), 2003-2012: Shaping an exciting future for the hydrologic sciences, Hydrolog. Sci. J., 48, 857–880, 2003b.
Sorooshian, S., Gupta, V. K., and Fulton, J. L.: Evaluation of maximum likelihood parameter estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length on model credibility, Water Resour. Res., 19, 251–259, 1983.
Vrugt, J. A., ter Braak, C. J. F., Clark, M. P., Hyman, J. M., and Robinson, B. A.: Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation, Water Resour. Res., 44, W00B09, https://doi.org/10.1029/2007WR006720, 2008.
Yadav, M., Wagener, T., and Gupta, H.: Regionalization of constraints on expected watershed response behavior for improved predictions in ungauged basins, Adv. Water Res., 30, 1756–1774, 2007.
Zhang, Z., Wagener, T., Reed, P., and Bhushan, R.: Reducing uncertainty in predictions in ungauged basins by combining hydrologic indices regionalization and multiobjective optimization, Water Resour. Res, 44, W00B04, https://doi.org/10.1029/2008WR006833, 2008.
