Open Access

The Impact of the Variability of Precipitation and Temperatures on the Efficiency of a Conceptual Rainfall-Runoff Model


Cite

Bai, P. – Liu, X. – Lian, K. – Liu, X. (2015)Comparison of performance of twelve monthly balance models in different climatic catchments of China. Journal of Hydrology, 529, pp. 1030-1040. Doi: 10.1016/j.jhydrol.2015.09.015.10.1016/j.jhydrol.2015.09.015Search in Google Scholar

Bergström, S. (1995)The HBV model. Computers Models of Watershed Hydrology, edited by V.P. Sing, Water. Resour. Publ., pp. 443-476.Search in Google Scholar

Coron, L. – Andréassian, V. – Perrin, C. – Lerat, J. – Vaze, J. – Bourqui, M. – Hendrickx, F. (2012)Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments. Water Resour. Res., 48, W05552. Doi: 10.1029/2011WR011721.10.1029/2011WR011721Search in Google Scholar

Fowler, K. J. A. – Peel, M. C. – Western, A. W. – Zhang, L. – Peterson, T. J. (2016)Simulating runoff under changing climatic conditions: Revisiting an apparent deficiency of conceptual rainfall-runoff models. Water Resour. Res., 52, pp. 1820-1846. Doi:10.1002/2015WR018068.10.1002/2015WR018068Search in Google Scholar

Gaál, L. – Szolgay, J. – Kohnová, S. – Parajka, J. – Merz, R. – Viglione, A. – Blöschl, G. (2012)Flood timescales: Understanding the interplay of climate and catchment processes through comparative hydrology. Water. Resour. Res. 48, W0451. Doi: 10.1029/2011WR011509.10.1029/2011WR011509Search in Google Scholar

Klemeš, V. (1986)Operational testing of hydrological simulation models. Hydrol. Sci. J., 31(1), pp. 13-24. Doi:10.1080/02626668609491024.10.1080/02626668609491024Search in Google Scholar

Le Lay, M. – Galle, S. – Saulnier, G. M. – Braud, I. (2007)Exploring the relationship between hydroclimatic stationarity and rainfall-runoff model parameter stability: A case study in West Africa. Water Resources Research 43, W07420. Doi: 10.1029/2006WR005257.10.1029/2006WR005257Search in Google Scholar

Magand, C. – Ducharne, A. – Moine, N. – Brigode, P. (2015)Parameter transferability under changing climate: case study with a land surface model in the Durance watershed France. Hydrological Sciences Journal, 60:7-8, pp. 1408-1423. Doi: 10.1080/02626667.2014.993643.10.1080/02626667.2014.993643Search in Google Scholar

Merz, R. – Parajka, J. – Blöschl, G. (2011)Time stability of catchment model parameters: Implication for climate impact analyses. Water Resour. Res., 47, W02531. Doi: 10.1029/2010WR009505.10.1029/2010WR009505Search in Google Scholar

Merz, R. – Blöschl, G. (2004)Regionalisation of catchment model parameters. Journal of Hydrology, (27), pp. 95-123. Doi: 10.1002/hyp.6253.10.1002/hyp.6253Search in Google Scholar

Nash, J. E. and Sutcliffe, J. V. (1991)River flow forecasting through conceptual models, part I – a discussion of principles. Journal of Hydrology, 10, pp. 282-290. Doi: 10.1016/0022-1694(70)90255-6.10.1016/0022-1694(70)90255-6Search in Google Scholar

Oudin, L. – Perrin, Ch. – Mathevet, T. – Andréassian, V. – Miechel, C. (2006)Impact of biased and randomly corrupted inputs on the efficiency at the parameters of watershed models. Journal of Hydrology, 320, pp. 62-83. Doi: 10.1016/j.jhydrol.2005.07.016.10.1016/j.jhydrol.2005.07.016Search in Google Scholar

Parajka, J. – Merz, R. – Blöschl, G. (2007)Uncertainty and multiple calibration in regional water balance modelling case study in 320 Austrian catchments. Hydrol. Process, (21), pp. 435-446. Doi: 10.1002/hyp.6253.10.1002/hyp.6253Search in Google Scholar

Swagatam, D. – Ponnuthurai, N.S. (2011)Diferential evolution: A survey of the State-of-the-Art. Transactions on evolutionary computation, Vol. 15, No.1, pp. 4-31. Doi: 10.1109/TEVC.2010.2059031.10.1109/TEVC.2010.2059031Search in Google Scholar

Vaze, J. – Post, D. A. – Chiew, F. H. S. – Perraud, J. M. – Viney, N. R. – Teng, J. (2010)Climate nonnstationarity – Validity of calibrated rainfall-runoff models for use in climatic changes studies. J. Hydrol., 394(3-4), pp. 447-457. Doi:10.1016/j.jhydrol.2010.09.018.10.1016/j.jhydrol.2010.09.018Search in Google Scholar

Viglione, A. and Parajka, P. (2014)TUW model: Lumped hydrological model for educational purposes. Version 0.1-4.Search in Google Scholar

Wilby, R. (2005)Uncertainty in water resource model parameters used for climate change impact assessment. Hydrol. Processes, 19, pp. 3201-3219. Doi:10.1002/hyp.5819.10.1002/hyp.5819Search in Google Scholar

eISSN:
1338-3973
ISSN:
1210-3896
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other