Flood warning ‐ on the value of local information

International Journal of River Basin Management

Volumn 6, Issue 1, 2008, Pages 41-50

  Blöschl, Günter ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Communication; Credibility of warnings; Distributed model; Hydrological processes; Kalman filtering; Reservoir simulation; Stakeholders

Indexed keywords

BASIN MANAGEMENT; CATCHMENT; COMPUTER SIMULATION; DATA INTERPRETATION; FLOOD FORECASTING; FLOOD ROUTING; HYDROLOGICAL MODELING; KALMAN FILTER; RAINFALL-RUNOFF MODELING; RESERVOIR; RIVER MANAGEMENT; STAKEHOLDER; WARNING SYSTEM;

AUSTRIA; CENTRAL EUROPE; EURASIA; EUROPE;

EID: 66049117153     PISSN: 15715124     EISSN: 18142060     Source Type: Journal    
DOI: 10.1080/15715124.2008.9635336     Document Type: Article

References (25)

1. Beven, K. (1989). “Changing Ideas in Hydrology - The Case of Physically Based Models,” Journal of Hydrology, 105, 157-172.
2. Blöschl, G., Reszler, Ch. and Komma, J. (2007). “A Spatially Distributed Flash Flood Forecasting Model,” Environmental Modelling & Software, 23, 464-478.
3. Bowles, D.S., Mathias, J.D., Chauhan, S.S. and Countryman, J.D. (2004). “Reservoir release forecast model for flood operation of the Folsom project including pre-releases.” 24th USSD Annual Meeting and Conference Proceedings, United States Society on Dams, Denver, Colorado.
4. Buizza, r., Houtekamer, P.L., Toth, z., Pellerin, G., Wei, M. and ZHU, Y. (2005). “A Comparison oftheECMWF, MSC, and NCEP Global Ensemble Prediction Systems,” Monthly Weather Review, 133(5), 1076-1097.
5. DESA (2004). “Guidelines for Reducing Flood Losses,” United Nations Department of Economic and Social Affairs (DESA). available on-line at www.unisdr.org.
6. Doswell III, C.A. (1986). “The Human Element in Weather Forecasting,” National Weather Digest, 11(2), 6-17.
7. Doswell, C. (2003). Is There a Role for Humans in the NWS of the Future? (Is there an NWS in our future at all?) Posted 11 May 2003 on http://www.flame.org/-cdoswell/forecasting/human_role/future_forecasters.html.
8. Du Plessis, L.A. (2002). “A Review of Effective Flood Forecasting, Warning and Response System for Application in South Africa,” Water SA, 28(2), 129-137.
9. Evensen, G. (1994). “Sequential Data Assimilation with a Nonlinear Quasi-Geostrophic Model using Monte Carlo Methods to Forecast Error Statistics,” Journal of Geophysical Research, 99(C5), 10143-10162.
10. Freeze, R.A. and Harlan, R.L. (1969). “Blueprint for a Physically-Based, Digitally Simulated Hydrologic Response Model,” Journal of Hydrology, 9, 237-258.
11. Georgakakos, A.P. (1993). “Operational Trade-Offs in Reservoir Control,” Water Resources Research 29(11), 3801-3820.
12. Grayson, R. and Blöschl, G. (2000). “Spatial Modelling of Catchment Dynamics,” in: Grayson, R. and Blöschl, G. (Eds.), Chapter 3, Spatial Patterns in Catchment Hydrology: Observations and Modelling. Cambridge University Press, Cambridge, UK, pp. 51-81.
13. Gutknecht, D. (2006). (Editor) Hochwasservorhersage -Erfahrungen, Entwicklungen & Realität. (Flood forecasting - experiences, development and reality). Proceedings Symposium Vienna, 19-20 October 2006, Wiener Mitteilungen Band 199, Vienna University of Technology.
14. Hall, J.W., Meadowcroft, I.C., Sayers, P.B. and Bramley, M.E. (2003). “Integrated Flood Risk Management in England and Wales,” Natural Hazards Review, 4(3) 126-135.
15. Hill, C., DeLuca, C., Balaji, V., Suarez, M. and da Silva, A. (2004). “Architecture of the Earth System Modeling Framework,” Computing in Science and Engineering, 6(1), 18-28.
16. Ibbitt, R. and Woods, R. (2003). Enhancing flood forecasts. TEPHRA Vol. 20 Wet and Wild, Ministry of Civil Defence & Emergency Management, PO Box 5010, Wellington New Zealand, www.mcdem.govt.nz, pp. 35-39.
17. Komma, J., Reszler, C., Bloschl, G. and Haiden, T. (2007). “Ensemble Prediction of Floods - Catchment NonLinearity and Forecast Probabilities,” Nat. Hazards Earth Syst. Sci., 7, 431-444.
18. NRC (2006) Completing the Forecast: Characterizing and Communicating Uncertainty for Better Decisions using Weather and Climate Forecasts. The National Academies Press, Washington, D.C., pp. 112.
19. Parajka, J., Naeimi, V., Bloschl, G., Wagner, W., Merz, R. and Scipal, K. (2005). “Assimilating Scat-terometer Soil Moisture Data into Conceptual Hydrologic Models at the Regional Scale,” Hydrology and Earth System Sciences, 10, 353-368.
20. Parker D.J. and Handmer, J.W. (1998). “The Role of Unofficial Flood Warning Systems,” Journal of Contingencies and Crisis Management, 6(1), 45-60.
21. Pielke Jr. R.A. (1999). “Who Decides? Forecasts and Responsibilities in the 1997 Red River flood,” Applied Behavioral Science Review, 7(2), 83-101.
22. Reed, S., Koren, V., Smith, M., Zhang, Z., Moreda, F., Seo, D.-J. and DMIP participants (2004). “Overall Distributed Model Inter-Comparison Project Results,” Journal of Hydrology, 298, 27-60.
23. Romang, H., Hegg, C., Gerber, M., Hilker, N., Dufour, F. and Rhyner, J. (2007). “IFKIS-Hydro -Informations- und Warnsystem für hydrologische Naturgefahren (IFKIS-Hydro - Information and warning system for hydrological hazards).” Wasser-Energie-Luft, 99(2), 129-132.
24. Warrick, A.W., Zhang, R., Moody, M. M. and Myers, D. E. (1990). “Kriging Versus Alternative Interpolators: Errors and Sensitivity to Model Inputs,” in: Roth K. et al. (Eds.), Field-scale water and solute flux in soils. Birkhäuser Verlag, Basel, pp. 157-164.
25. Wösten, J.H.M., Pachepsky, Ya.A. and Rawls, W.J. (2001). “Pedotransfer Functions: Bridging the Gap Between Available Basic Soil Data and Missing Soil Hydraulic Characteristics,” Journal of Hydrology, 251(3-4), 123-150.