Influence of rainfall variability on the simulation of extreme runoff in small catchments;Einfluss der niederschlagsvariabilitat auf die simulation extremer abflüsse in kleinen einzugsgebieten

Hydrologie und Wasserbewirtschaftung

Volumn 53, Issue 3, 2009, Pages 134-139

  Casper, Markus C ^a   Herbst, Marcus ^a   Grundmann, Jens ^b   Buchholz, Oliver ^c   Bliefernicht, Jan ^d  

^a UNIVERSITY OF TRIER   (Germany)

^b DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^c Hydrotec GmbH   (Germany)

^d UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Ensembles; Extreme events; Rainfall variability; Rainfall runoff model; Sensitivity of models

Indexed keywords

CATCHMENT; FLOOD FORECASTING; RAINFALL-RUNOFF MODELING; SPATIAL VARIATION; TEMPORAL VARIATION;

EID: 68149147263     PISSN: 14391783     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. ANDREASSIAN, V., C. PERRIN, C. MICHEL, I. USART-SANCHEZ & J. LAVABRE (2001) : Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models. - Journal of Hydrology, 250, S. 206-223
2. BLIEFERNICHT, J., A. BÁRDOSSY & C. EBERT (2008) : Stochastische Simulation stündlicher Niederschlagsfelder für Extremereignisse an der Freiberger Mulde, dem Oberen Main und der Frankischen Saale. - Hydrologie und Wasserbewirtschaftung, 52, 4, S. 168-172
3. BREMICKER, M. (2000) : Das Wasserhaushaltsmodell LARSIM. Modellgrundlagen und Anwendungsbeispiele. - Freiburger Schriften zur Hydrologie, 11, 119 S.
4. DOOGE, J. C. I. (2005) : Bringing it all together. - Hydrology and Earth System Sciences, 9, 1, S. 3-14
5. DUAN, Q., V. K. GUPTA & S. SOROOSHIAN (1993) : Shuffled complex evolution approach for effective and efficient global minimization. - Journal of Optimization Theory and Applications, 76, 3, S. 501-521
6. FENICIA, F, D. P. SOLOMATINE, H. H. G. SAVENIJE & P. MATGEN (2007) : Soft combination of local models in a multiobjective framework. - Hydrology and Earth System Sciences, 11, 1797-1809, http://www.hydrol-earth-syst-sci. net/11/1797/2007/
7. HERBST, M., H. V. GUPTA & M. CASPER (2009) : Mapping model behaviour using Self-Organizing Maps. - Hydrology and Earth System Sciences 13, 395-409, http://direct.sref.Org/1607-7938/hess/2009-13-395
8. HYDROTEC (2007) : Niederschlag-Abfluss-Modell NASIM-Version 3.6.1. - Hydrotec Ingenieurgesellschaft mbH, Aachen, 600 S.
9. OUDIN, L, C. PERRIN, T. MATHEVET, V. ANDREASSIAN & C. MICHEL (2006) : Impact of biased and randomly corrupted inputs on the efficiency and the parameters of watershed models. - Journal of Hydrology, 320, 62-83
10. SCHULLA, J. & K. JASPER (1998) : Modellbeschreibung WaSIM-ETH. - Institut für Geographie, ETH Zürich, Technischer Bericht, 152 S.
11. SCHULLA, J. & K. JASPER (2007) : Model description WaSIM-ETH. - Zürich
12. WAGENER, T, N. MCINTYRE, MJ. LEES, H. S. WHEATER & H. V. GUPTA (2003) : Towards reduced uncertainty in conceptual rainfall-runoff modelling: dynamic identifiability analysis. - Hydrological Processes, 17, 2, S. 455-476
13. ZEHE, E. & G. BLÖSCHL (2004) : Predictability of hydrologie response at the plot and catchment scales: Role of initial conditions. - Water Resources Research, 40, S. W10202
14. ZHAO, RJ. (1977) : Flood forecasting method for humid regions in China. - East China Institute of Hydraulic Engineering, Nanjing, China, pp. 19-51 (in Chinese)