Sensitivity of a soil-vegetation-atmosphere-transfer scheme to input data resolution and data classification

Journal of Hydrology

Volumn 351, Issue 1-2, 2008, Pages 154-169

  Bormann, Helge ^a  

^a UNIVERSITY OF OLDENBURG   (Germany)

Author keywords

Data classification; Data resolution; Input data; Regional hydrological modelling; Sensitivity; SVAT scheme

Indexed keywords

AGGLOMERATION; CATCHMENTS; EVAPOTRANSPIRATION; GROUNDWATER FLOW; SENSITIVITY ANALYSIS; TOPOGRAPHY; VEGETATION;

DATA CLASSIFICATION; DATA RESOLUTION; INPUT DATA; SVAT SCHEME;

SOILS;

AGGLOMERATION; CATCHMENTS; EVAPOTRANSPIRATION; GROUNDWATER FLOW; SENSITIVITY ANALYSIS; SOILS; TOPOGRAPHY; VEGETATION;

CATCHMENT; CLASSIFICATION; ENVIRONMENTAL CHANGE; ESTIMATION METHOD; EVAPOTRANSPIRATION; HYDROLOGICAL MODELING; PRECIPITATION (CLIMATOLOGY); PREDICTION; RECHARGE; RESOLUTION; SPATIAL DISTRIBUTION; TOPOGRAPHY; WATER BUDGET;

EID: 39149141555     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2007.12.011     Document Type: Article

References (50)

1. Aden K., and Diekkrüger B. Modeling pesticide dynamics of four different sites using the model system SIMULAT. Agri. Water Mgmt. 44 (2000) 337-355
2. Andreassian V., Perrin C., Michel C., Usart-Sanchez I., and Lavabre J. Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models. J. Hydrol. 250 (2001) 206-223
3. Arnold J.G., and Williams J.R. Stochastic generation of internal storm structure at a point. T. ASAE 32 1 (1989) 161-167
4. Bell V.A., and Moore R.J. The sensitivity of catchment runoff models to rainfall data at different spatial scales. Hydrol. Earth Syst. Sci. 4 4 (2000) 653-667
5. Beven K.J., and Binley A. The future of distributed models: model calibration and uncertainty prediction. In: Beven K.J., and Moore I.D. (Eds). Terrain Analysis and Distributed Modelling in Hydrology. Advances in Hydrological Processes (1992), Wiley 227-246
6. Bormann, H., Breuer, L., Croke, B.F.W., Gräff, T., Huisman, J.A., in press. Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) IV: Model sensitivity on data aggregation and spatial (re-) distribution. Adv. Water Res.
7. Bormann H. Impact of spatial data resolution on simulated catchment water balances and model performance of the multi-scale TOPLATS model. Hydrol. Earth Syst. Sci. 10 (2006) 165-179
8. Bormann H., Giertz S., and Diekkrüger B. Hydrological Catchment Models Between Process Representation, Data Availability and Applicability for Water Management - Case Study for Benin 295 (2005), IAHS Publication 86-93
9. Bormann, H., 2001. Hochskalieren von prozessorientierten Wassertransportmodellen - Methoden und Grenzen. München, Herbert-Utz-Verlag - Wissenschaft (Reihe Geowissenschaften).
10. Bormann H., Diekkrüger B., and Richter O. Effects of spatial data resolution on the calculation of regional water balances. In: Diekkrüger B., Kirkby M., and Schröder U. (Eds). Regionalization in Hydrology 254 (1999), IAHS-Publication 193-202
11. Bormann H., Diekkrüger B., and Renschler C. Regionalization concept for hydrological modelling on different scales using a physically based model: results and evaluation. Phys. Chem. Earth B 24 7 (1999) 799-804
12. Bormann H., Diekkrüger B., and Richter O. Effects of data availability on estimation of evapotranspiration. Phys. Chem. Earth 21 3 (1996) 171-175
13. Braden, H., 1995. The model AMBETI - a detailed description of a soil-plant-atmosphere model. Offenbach. Berichte des Deutschen Wetterdienstes 195, 117 pp.
14. Butts M.B., Payne J.T., Kristensen M., and Madsen H. An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation. J. Hydrol. 298 1-4 (2004) 242-266
15. Christiaens K., and Feyen J. Analysis of uncertainties associated with different methods to determine soil hydraulic properties and their propagation in the distributed hydrological MIKE SHE model. J. Hydrol. 246 (2001) 63-81
16. Cosby B.J., Hornberger G.M., Clapp R.B., and Ginn T.R. A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils. Water Resour. Res. 20 6 (1984) 682-690
17. Diekkrüger B., and Arning M. Simulation of water fluxes using different methods for estimating soil parameters. Ecol. Model. 81 1-3 (1995) 83-95
18. Diekkrüger B., Söndgerath D., Kersebaum K.C., and McVoy C.W. Validity of agroecosystem models - a comparison of results of different models applied to the same data set. Ecol. Model. 81 1-3 (1995) 3-29
19. Eckhardt K., Breuer L., and Frede H.G. Parameter uncertainty and the significance of simulated land use change effects. J. Hydrol. 273 (2003) 164-176
20. Famiglietti J.S., and Wood E.F. Multiscale modelling of spatially variable water and energy balance processes. Water Resour. Res. 30 11 (1994) 3061-3078
21. Feddes R.A., Kowalik P.J., and Zaradny H. Simulation of field water use and crop yield. Simulations Monograph (1978), Pudoc, Wageningen
22. Finke P.A., Wösten J.H.M., and Jansen M.J.W. Effects of uncertainty in major input variables on simulated functional soil behaviour. Hydrol. Process. 10 (1996) 661-669
23. Giertz, S., 2004. Analyse der hydrologischen Prozesse in den sub-humiden Tropen Westafrikas unter besonderer Berücksichtigung der Landnutzung am Beispiel des Aguima-Einzugsgebietes in Benin. PhD-Thesis University of Bonn. (accessed: 15.10.06).
24. Giertz, S., Diekkrüger, B. Steup, G., 2006. Physically-based modelling of hydrological processes in a tropical headwater catchment in Benin (West Africa) - process representation and multi-criteria validation. Hydrol. Earth Syst. Sci. Discussions, HESSD-2006-0020.
25. Haan C.T. Parametric uncertainty in hydrologic modelling. T. ASAE 32 1 (1989) 137-146
26. Holmes K.W., Chadwick O.A., and Kyriakidis P.C. Error in a USGS 30-meter digital elevation model and its impact on terrain modelling. J. Hydrol. 233 (2000) 154-173
27. Kuczera G., and Mroczkowski M. Assessment of hydrologic parameter uncertainty and the worth of multiresponse data. Water Resour. Res. 34 6 (1998) 1481-1489
28. Kuhn, M., 1998. Untersuchungen zur Auswirkung der Variabilität von Bodeneigenschaften auf die Wasserflüsse - Feldversuch und Simulation. Landschaftsökologie und Umweltforschung 31, TU Braunschweig, 173 pp.
29. Kuo W.L., Steenhuis T.S., McCulloch C.E., Mohler C.L., Weinstein D.A., DeGloria S.D., and Swaney D.P. Effect of grid size on runoff and soil moisture for a variable-source-area hydrology model. Water Resour. Res. 35 11 (1999) 3419-3428
30. Löpmeier F.J. Ein agrarmeteorologischens modell zur berechung der aktuellen verdunstung (AMBAV). Beiträge zur Agrarmeteorologie 7/83. ZAMF, Braunschweig. (1983) 50
31. Minasny B., and McBratney A.B. Uncertainty analysis for pedotransfer functions. Eur. J. Soil Sci. 53 3 (2002) 417-429
32. Monteith J.L. Evaporation and environment. In: Fogy G.T. (Ed). The State and Movement of Water in Living Organism (1965), Cambridge University Press 205-234
33. Nash J.E., and Sutcliffe J.V. River flow forecasting through conceptual models, part I - a discussion of principles. J. Hydrol. 10 (1970) 272-290
34. Peters-Lidard C.D., Zion M.S., and Wood E.F. A soil-vegetation-atmosphere transfer scheme for modeling spatially variable water and energy balance processes. J. Geophys. Res. 102 D4 (1997) 4303-4324
35. Rawls W.J., and Brakensiek D.L. Prediction of soil water properties for hydrological modelling. In: Jones E., and Ward T.J. (Eds). Proceedings of the Symposium Watershed Management in the Eighties (1985), Denver 293-299
36. Refsgaard J.C., and Storm B. Construction, calibration and validation of hydrological models. In: Abbot M.A., and Refsgaard J.C. (Eds). Distributed Hydrological Modelling (1996), Kluwer 41-54
37. Richter, O., Söndgerath, D., Diekkrüger, B., 1996. Sonderforschungsbereich 179 "Wasser-und Stoffdynamik in Agrarökosystemen". Abschlußbericht. Braunschweig. Landschaftsökologie und Umweltforschung, 24 (1), 407pp.
38. Ritchie J.T. A model for predicting evaporation from a row crop with incomplete cover. Water Resour. Res. 8 5 (1972) 1204-1213
39. Sieber A., and Uhlenbrock S. Sensitivity analyses of a distributed catchment model to verify the model structure. J. Hydrol. 310 1-4 (2005) 216-235
40. Smith M.B., Seo D.J., Koren V.I., Reed S.M., Zhang Z., Duan Q., Moreda F., and Cong S. The distributed model intercomparison project (DMIP): motivation and experiment design. J. Hydrol. 298 1-4 (2004) 4-26
41. Smith R.E., and Parlange J.Y. A parameter-efficient hydrologic infiltration model. Water Resour. Res. 14 3 (1978) 533-538
42. Stephan, K. 2003. Möglichkeiten der Aggregierung heterogener Eingangsdaten für eine prozessorientierte hydrologische Simulation der Wasserflüsse am Beispiel des Untersuchungsgebietes der Oberen Leine. Dissertation, Math.-Nat. Fak. Univ. Bonn. Available under: . (accessed 15.10.06).
43. Thieken A.H., Lücke A., Diekkrüger B., and Richter O. Scaling input data by GIS for hydrological modelling. Hydrol. Process. 13 (1999) 611-630
44. Tietje O., and Tapkenhinrichs M. Evaluation of pedotransfer functions. Soil Sci. Soc. Am. J. 57 (1993) 1088-1095
45. Vachaud G., and Chen T. Sensitivity of computed values of water balance and nitrate leaching to within soil class variability of transport parameters. J. Hydrol. 264 (2002) 87-100
46. Vachaud G., and Chen T. Sensitivity of large-scale hydrologic model to quality of input data obtained at different scales; distributed versus stochastic non-distributed modelling. J. Hydrol. 264 (2002) 101-112
47. Van der Perk M. Effect of model structure on the accuracy and uncertainty of results from water quality models. Hydrol. Process. 11 (1997) 227-239
48. Wolock D.M., and Price C.V. Effects of digital elevation model map scale and data resolution on a topography based watershed model. Water Resour. Res. 30 11 (1994) 3041-3052
49. Wörlen C., Schulz K., Huwe B., and Eiden R. Spatial extrapolation of agrometeorological variables. Agr. Forest Meteorol. 94 (1999) 233-242
50. Zhang W., and Montgomery D.R. Digital elevation model grid size, landscape representation, and hydrologic simulations. Water Resour. Res. 30 (1994) 1019-1028