Estimating the benefits of single value and probability forecasting for flood warning

Hydrology and Earth System Sciences

Volumn 15, Issue 12, 2011, Pages 3751-3765

  Verkade, J S ^a,b   Werner, M G F ^a,c  

^a DELTARES   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c UNESCO IHE INSTITUTE FOR WATER EDUCATION   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ECONOMIC VALUES; EXPECTED ANNUAL DAMAGES; FALSE ALARMS; FLOOD FORECASTING; FLOOD LOSS; FLOOD RISKS; FLOOD WARNING; FORECAST UNCERTAINTY; HYDROLOGICAL FORECAST; LEADTIME; POTENTIAL REDUCTION; PROBABILISTIC FORECASTS; PROBABILITY FORECASTING; RESPONSE SYSTEMS; SINGLE-VALUE; SUB-SYSTEMS;

COST REDUCTION; ECONOMICS; ESTIMATION; FLOOD CONTROL; FLOOD DAMAGE; RISK PERCEPTION; UNCERTAINTY ANALYSIS;

WEATHER FORECASTING;

COST-BENEFIT ANALYSIS; FLOOD FORECASTING; FLOODING; PROBABILITY; RISK FACTOR; UNCERTAINTY ANALYSIS; WARNING SYSTEM;

EID: 84055212539     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-15-3751-2011     Document Type: Article

References (39)

1. Carsell, K. M., Pingel, N. D., and Ford, D. T.: Quantifying the benefit of a flood warning system, Nat. Hazards Rev., 5, 131, 2004.
2. Cloke, H. and Pappenberger, F.: Ensemble flood forecasting: a review, J. Hydrol., 375, 613-626, 2009.
3. Cranston, M., Werner, M., Janssen, A., Hollebrandse, F., Lardet, P., Oxbrow, J., and Piedra, M.: Flood Early Warning System (FEWS) Scotland: An example of real time system and forecasting model development and delivery best practice, in: DEFRA Conf. Flood and Coastal Management York, UK, 02-3, 2007.
4. Davis, D., Faber, B., and Stedinger, J.: USACE Experience in Implementing Risk Analysis for Flood Damage Reduction Projects, J. Contemp. Water Res. Educ., 140, 3-14, 2008.
5. De Bruijn, K.: Resilience and flood risk management: a systems approach applied to lowland rivers, Ph.D. thesis, Delft University of Technology, 2005.
6. DEFRA: Flood warning and forecasting, Tech. rep., Department for Environment, Food and Rural Affairs, London, 2004.
7. Dingman, S.: Physical Hydrology, Prentice-Hall, Upper Saddle River, NJ, 2002.
8. Green, C. and Herschy, R.: Assessing the benefits of streamflow gauging, Tech. rep., Flood Hazard Research Centre, Middlesex University, 1994.
9. Koenker, R.: Quantile regression, Cambridge University Press, 2005.
10. Koenker, R. and Bassett Jr., G.: Regression quantiles, Economet-rica: journal of the Econometric Society, 33-50, 1978.
11. Koenker, R. and Hallock, K.: Quantile regression, J. Econom. Persp., 15, 143-156, 2001. (Pubitemid 33594780)
12. Krzysztofowicz, R.: The case for probabilistic forecasting in hydrology, J. Hydrol., 249, 2-9, 2001. (Pubitemid 32664992)
13. Loucks, D., Van Beek, E., Stedinger, J., Dijkman, J., and Vil-lars, M.: Water resources systems planning and management: an introduction to methods, models and applications, UNESCO, Paris, 2005.
14. Lund, J.: Floodplain planning with risk-based optimization, J. Water Res. Pl.-ASCE, 128, 202, 2002.
15. Merz, B., Kreibich, H., Schwarze, R., and Thieken, A.: Review article "Assessment of economic flood damage", Nat. Hazards Earth Syst. Sci., 10, 1697-1724, doi:10.5194/nhess-10-1697-2010, 2010.
16. Messner, F., Penning-Rowsell, E., Green, C., Meyer, V., Tunstall, S., and van der Veen, A.: Evaluating flood damages: guidance and recommendations on principles and methods, Final Report T09-06-01, FLOODsite, 2007.
17. Molinari, D.: Flood forecast verification to support emergency management, in: Proceedings of the 34th IAHR World Congress, Brisbane, 26 June-1 July 2011.
18. Molinari, D. and Handmer, J.: A behavioural model for quantifying flood warning effectiveness, J. Flood Risk Manage., 4, 23-32, 2011.
19. Moore, R.: The probability-distributed principle and runoff production at point and basin scales, Hydrolog. Sci. J., 30, 273-297, 1985. (Pubitemid 15526721)
20. Moore, R., Jones, D., Bird, P., and Cottingham, M.: A basin-wide flow forecasting system for real time flood warning, river control and water management, in: International Conference on River Flood Hydraulics, edited by: White, W. R., John Wiley&Sons, Ltd., UK, 21-30, 1990.
21. Murphy, A.: Decision Making and the Value of Forecasts in a Generalized Model of the Cost-Loss Ratio Situation, Mon. Weather Rev., 113, 362-369, 1985.
22. Murphy, A.: What is a good forecast? An essay on the nature of goodness in weather forecasting, Weather Forecast. 8, 281-293, 1993.
23. Murphy, A. and Ehrendorfer, M.: On the relationship between the accuracy and value of forecasts in the cost-loss ratio situation, Weather Forecast., 2, 243-251, 1987.
24. Parker, D.: The damage-reducing effects of flood warnings, Tech. rep., Flood Hazard Research Centre, Middlesex University, 1991.
25. Parker, D. and Fordham, M.: An evaluation of flood forecasting, warning and response systems in the European Union, Water Re-sour. Manage., 10, 279-302, 1996.
26. Parker, D., Priest, S., Schildt, A., and Handmer, J.: Modelling the damage reducing effects of flood warnings, Final Report T10-07-12, FLOODsite, 2008.
27. Penning-Rowsell, E., Johnson, C., Tunstall, S., Tapsell, S., Morris, J., Chatterton, J., Green, C., Wilson, T., Koussela, K., and Fernandez-Bilbao, A.: The benefits of flood and coastal risk management: a manual of assessment techniques, Middlesex University Press, London, 2005.
28. Pitt, M.: Learning lessons from the 2007 floods, Cabinet Office, London, 2008.
29. Risk Frontiers-NHRC: The business of warning, Risk Frontiers Quarterly Newsletter, 1:3, http://www.riskfrontiers.com/newsletters.html, 2002.
30. Todini, E.: Role and treatment of uncertainty in real-time flood forecasting, Hydrol. Process., 18, 2743-2746, 2004. (Pubitemid 39437286)
31. UNISDR: Guidelines for Reducing Flood Losses, United Nations International Strategy for Disaster Reduction, World Meteorological Organisation, Geneva, Switzerland, 2004.
32. USACE: Framework for estimating national economic benefits and other beneficial effects of flood warning and preparedness systems, Tech. rep., United States Army Corps of Engineers, Institute for Water Resources, Alexandria, Virginia, United States, 1994.
33. Weerts, A. H., Winsemius, H. C., and Verkade, J. S.: Estimation of predictive hydrological uncertainty using quantile regression: examples from the National Flood Forecasting System (England and Wales), Hydrol. Earth Syst. Sci., 15, 255-265, doi:10.5194/hess-15-255-2011, 2011.
34. Werner, M. and Cranston, M.: Understanding the Value of Radar Rainfall Nowcasts in Flood Forecasting and Warning in Flashy Catchments, Meteorol. Appl., 16, 41-55, 2009.
35. Werner, M., van Dijk, M., and Schellekens, J.: Delft-FEWS: An open shell flood forecasting system, in: 6th international conference on Hydroinformatics, edited by: Liong, S.-Y., Phoon, K. K., and Babovic, V., World Scientific Publishing Company, Singapore, 1205-1212, 2004.
36. Werner, M., Cranston, M., Harrison, T., Whitfield, D., and Schellekens, J.: Recent developments in operational flood forecasting in England, Wales and Scotland, Meteorol. Appl., 16, 13-22, 2009.
37. White, G. F.: Human Adjustement to Floods: A Geographical Approach to the Flood Problem in the United States, Ph.D. thesis, The University of Chicago, 1942.
38. Wilks, D.: Statistical methods in the atmospheric sciences, Academic Press, 2006.
39. Zhu, Y., Toth, Z., Wobus, R., Richardson, D., and Mylne, K.: The economic value of ensemble-based weather forecasts, B. Am. Meteorol. Soc., 83, 73-83, 2002. (Pubitemid 34433974)