Sensitivity of the performance of a conceptual rainfall-runoff model to the temporal sampling of calibration data

Hydrology Research

Volumn 44, Issue 3, 2013, Pages 484-494

  Bastola, Satish ^a   Murphy, Conor ^b  

^a FLORIDA STATE UNIVERSITY   (United States)

^b NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

Multi objective calibration; Rainfall runoff model; Temporal aggregation

Indexed keywords

DEGREE OF AGGREGATION; FLOOD FREQUENCY ANALYSIS; MULTI-OBJECTIVE CALIBRATION; NUMERICAL EXPERIMENTS; RAINFALL-RUNOFF MODELS; SCALING RELATIONSHIPS; TEMPORAL AGGREGATION; TEMPORAL RESOLUTION;

FLOOD CONTROL; RUNOFF;

CALIBRATION;

CALIBRATION; CONCEPTUAL FRAMEWORK; DATA ACQUISITION; FLOOD; PARAMETERIZATION; PERFORMANCE ASSESSMENT; RAINFALL-RUNOFF MODELING; SAMPLING; SENSITIVITY ANALYSIS; SIMULATION; TEMPORAL VARIATION;

EID: 84880429402     PISSN: 00291277     EISSN: None     Source Type: Journal    
DOI: 10.2166/nh.2012.061     Document Type: Article

References (17)

1. Bastola, S., Ishidahira, H. & Takeuchi, K. 2008 Regionalisation of the parameters of hydrological model under parameter uncertainty: A case study involving TOPMODEL and basins across the globe. J. Hydrol. 357 (3-4), 188-206.
2. Bastola, S., Murphy, C. & Sweeney, J. 2011 The role of hydrological modelling uncertainties in climate change impact assessments of Irish river catchments. Adv. Water Resour. 34 (5), 562-576.
3. Blazkova, S. & Beven, K. 2002 Flood frequency estimation by continuous simulation for a catchment treated as ungauged (with uncertainty). Water Resour. Res. 38 (8), 1139.
4. Boyle, D. 2001 Multicriteria calibration of hydrological models. PhD dissertation. Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ.
5. Cameron, D., Beven, K., Tawn, J. & Naden, P. 2000 Flood frequency estimation by continuous simulation (with likelihood based uncertainty estimation). Hydrol. Earth Syst. Sci. 4 (1), 23-34.
6. Clark, M. P. & Kavetski, D. 2010 The ancient numerical demons of conceptual hydrological modeling: 1. Fidelity and efficiency of time stepping schemes. Water Resour. Res. 46, W10511.
7. Dev, K. Agrawal. S. Pratap. A. & Meyarivan. T. 2002 A fast and elitist multi-objective Genetic Algorithm: NSGA-II. Trans. Evol. Comput. 6, 182-197.
8. Finnerty, B. D., Smith, B. M., Seo, D. J., Koren, V. & Moglen, G. E. 1997 Space-time scale sensitivity of the Sacramento model to radar gauge precipitation inputs. J. Hydrol. 203, 21-38.
9. Ishidaira, H., Takeuchi, K., Xu, Z., Ao, T., Magome, J. & Kudo, M. 2003 Effect of spatial and temporal resolution of precipitation data on the accuracy of long-term runoff simulation. IAHS Pubi. 282, 186-193.
10. Kavetski, D., Fenicia, F. & Clark, M. P. 2011 Impact of temporal data resolution on parameter inference and model identification in conceptual hydrological modeling: Insights from an experimental catchment. Water Resour. Res. 47, W05501.
11. Krajewski, W. F., Lakshmi, V., Georgakakos, K. P. & Jai, S. C. 1991 A monte carlo study of rainfall sampling effect on a distributed catchment model. Water Resour. Res. 27 (1), 119-128.
12. Littlewood, I. G. & Croke, B. R W. 2008 Data time-step dependency of conceptual rainfall-streamfiow model parameters: An empirical study with implications for regionalization. Hydrol. Sci. J. 53 (4), 685-695.
13. Ostrowski, M., Bach, M., DeSimone, S. V. & Gamerith, V. 2010 Analysis of the time-step dependency of parameters in conceptual hydrologic models. TU-Darmstadt (Germany), Report, DOI/URN:urn:nbn:de:tuda-tuprints-20996.
14. Spear, R. C. & Hornberger, G. M. 1980 Eutrophication in Peel Inlet, II, Identification of critical uncertainties via generalized sensitivity analysis. Water Research 14, 43-49.
15. Vrugt, J. A., Gupta, H. V., Bastidas, L. A., Bouten, W. & Sorooshian, S. 2003 A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour. Res. 39 (8), 1201.
16. Wagener, T., Boyle, D. P., Lees, M. J., Wheater, H. S., Gupta, H. V. & Sorooshian, S. 2001 A framework for development and application of hydrological models. Hydrol. Earth Sci. 5 (1), 13-26.
17. Wang, Y., He, B. & Takase, K. 2009 Effects of temporal resolution on hydrological model parameters and its impact on prediction of river discharge. Hydrol. Sci. J. 54 (5), 886-898.