The extreme runoff index for flood early warning in Europe

Natural Hazards and Earth System Sciences

Volumn 14, Issue 6, 2014, Pages 1505-1515

  Alfieri, L ^a,b   Pappenberger, F ^a   Wetterhall, F ^a  

^a EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

^b JOINT RESEARCH CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; EARLY WARNING SYSTEM; ENSEMBLE FORECASTING; EXTREME EVENT; FLOOD; HYDROLOGICAL MODELING; RISK ASSESSMENT; RUNOFF;

EUROPE;

EID: 84902688793     PISSN: 15618633     EISSN: 16849981     Source Type: Journal    
DOI: 10.5194/nhess-14-1505-2014     Document Type: Article

References (39)

1. Ahn, J. H. and Il Choi, H.: A New Flood Index for Use in Evaluation of Local Flood Severity: A Case Study of Small Ungauged Catchments in Korea, J. Am. Water Resour. Assoc., 49, 1-14, doi:10.1111/jawr.12025, 2013
2. Alfieri, L. and Thielen, J.: A European precipitation index for extreme rain-storm and flash flood early warning, Meteorol. Appl., online first, doi:10.1002/met.1328, 2012
3. Alfieri, L., Velasco, D., and Thielen, J.: Flash flood detection through a multi-stage probabilistic warning system for heavy precipitation events, Adv. Geosci., 29, 69-75, doi:10.5194/adgeo-29-69-2011, 2011
4. Alfieri, L., Salamon, P., Bianchi, A., Neal, J., Bates, P., and Feyen, L.: Advances in pan-European flood hazard mapping, Hydrol. Process., online first, doi:10.1002/hyp.9947, 2013
5. Alfieri, L., Pappenberger, F., Wetterhall, F., Haiden, T., Richardson, D., and Salamon, P.: Evaluation of ensemble streamflow predictions in Europe, J. Hydrol., submitted, 2014
6. Balsamo, G., Pappenberger, F., Dutra, E., Viterbo, P., and van Den Hurk, B.: A revised land hydrology in the ECMWF model: A step towards daily water flux prediction in a fully-closed water cycle, Hydrol. Process., 25, 1046-1054, 2011
7. Bechtold, P., Semane, N., Lopez, P., Chaboureau, J-P., Beljaars, A., and Bormann, N.: Breakthrough in forecasting equilibrium and non-equilibrium convection, ECMWF Newsletter, 136, 15-22, 2013
8. Blöschl, G., Nester, T., Komma, J., Parajka, J., and Perdigão, R. A. P.: The June 2013 flood in the Upper Danube Basin, and comparisons with the 2002, 1954 and 1899 floods, Hydrol. Earth Syst. Sci., 17, 5197-5212, doi:10.5194/hess-17-5197-2013, 2013
9. Chow, V. T., Maidment, D. R., and Mays, L.W.: Applied hydrology, McGraw-Hill Science/Engineering/Math., 1988
10. Cloke, H. L. and Pappenberger, F.: Ensemble flood forecasting: A review, J. Hydrol., 375, 613-626, 2009
11. CRED - EM-DAT: The OFDA/CRED International Disaster Database, Université Catholique de Louvain, Brussels, Belgium, available at: Www.emdat.be, last access: 6 June 2014, 2013
12. Demeritt, D., Nobert, S., Cloke, H. L., and Pappenberger, F.: The European Flood Alert System and the communication, perception, and use of ensemble predictions for operational flood risk management, Hydrol. Process., 27, 147-157, doi:10.1002/hyp.9419, 2013
13. European Flood Awareness System - Bimonthly Bulletin, available at: Http://www.efas.eu/efas-bulletins.html, last access: 6 June 2014
14. Ewen, J.: Hydrograph matching method for measuring model performance, J. Hydrol., 408, 178-187, doi:10.1016/j.jhydrol.2011.07.038, 2011
15. Fiorentino, M., Rossi, F., and Villani, P.: Effect of the basin geomorphoclimatic characteristics on the mean annual flood reduction curve, in: Proc. Of 18th Annual Pittsburgh modelling and Simulation Conference, Pittsburgh, 5, 1777-1784, 1987
16. Giandotti, M.: Previsione delle piene e delle magre dei corsi d'acqua, Memorie e studi idrografici, 8, 107 pp., 1934 (in Italian).
17. Gourley, J. J., Erlingis, J. M., Hong, Y., and Wells, E. B.: Evaluation of Tools Used for Monitoring and Forecasting Flash Floods in the United States, Weather Forecast., 27, 158-173, doi:10.1175/WAF-D-10-05043.1, 2012
18. Grams, C. M., Binder, H., Pfahl, S., Piaget, N., and Wernli, H.: Atmospheric processes triggering the Central European floods in June 2013, Nat. Hazards Earth Syst. Sci. Discuss., 2, 427-458, doi:10.5194/nhessd-2-427-2014, 2014
19. Hosking, J. R. M.: L-Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics, J. Roy. Stat. Soc. B Met., 52, 105-124, 1990
20. Hurford, A., Priest, S., Parker, D., and Lumbroso, D.: The effectiveness of Extreme Rainfall Alerts in predicting surface water flooding in England and Wales, Int. J. Climatol., 32, 1768-1774, doi:10.1002/joc.2391, 2012
21. Javelle, P., Fouchier, C., Arnaud, P., and Lavabre, J.: Flash flood warning at ungauged locations using radar rainfall and antecedent soil moisture estimations, J. Hydrol., 394, 267-274, 2010
22. Lalaurette, F.: Early detection of abnormal weather conditions using probabilistic extreme forecast index, Q. J. Roy. Meteor. Soc., 129, 3037-3057, 2003
23. Marsigli, C., Boccanera, F., Montani, A., and Paccagnella, T.: The COSMO-LEPS mesoscale ensemble system: Validation of the methodology and verification, Nonlin. Processes Geophys., 12, 527-536, doi:10.5194/npg-12-527- 2005, 2005
24. McCuen, R. H.: Hydrologic analysis and design, Prentice Hall PTR., 1989
25. Miller, M., Buizza, R., Haseler, J., Hortal, M., Janssen, P., and Untch, A.: Increased resolution in the ECMWF deterministic and ensemble prediction systems, ECMWF Newsletter, 124, 10-16, 2010
26. Norbiato, D., Borga, M., and Dinale, R.: Flash flood warning in ungauged basins by use of the flash flood guidance and model-based runoff thresholds, Meteorol. Appl., 16, 65-75, doi:10.1002/met.126, 2009
27. Ntelekos, A. A., Georgakakos, K. P., and Krajewski, W. F.: On the uncertainties of flash flood guidance: Toward probabilistic forecasting of flash floods, J. Hydrometeorol., 7, 896-915, 2006
28. Pappenberger, F., Thielen, J., and Del Medico, M.: The impact of weather forecast improvements on large scale hydrology: Analysing a decade of forecasts of the European Flood Alert System, Hydrol. Process., 25, 1091-1113, doi:10.1002/hyp.7772, 2010
29. Pappenberger, F., Stephens, E., Thielen, J., Salamon, P., Demeritt, D., van Andel, S. J., Wetterhall, F., and Alfieri, L.: Visualising probabilistic flood forecast information: Expert preferences and perceptions of best practice in uncertainty communication, Hydrol. Process., 27, 132-146, 2013
30. Raynaud, D., Thielen, J., Salamon, P., Burek, P., Anquetin, S., and Alfieri, L.: A dynamic runoff coefficient to improve flash flood early warning in Europe: Validation on the 2013 Central European floods in Germany, Meteorol. Appl., accepted, 2014
31. Renard, B., Kavetski, D., Kuczera, G., Thyer, M., and Franks, S.W.: Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors, Water Resour. Res., 46, W05521, doi:10.1029/2009WR008328, 2010
32. Sangati, M. and Borga, M.: Influence of rainfall spatial resolution on flash flood modelling, Meteorol. Appl., 9, 575-584, 2009
33. Thielen, J., Bartholmes, J., Ramos, M-H., and de Roo, A.: The European Flood Alert System - Part 1: Concept and development, Hydrol. Earth Syst. Sci., 13, 125-140, doi:10.5194/hess-13-125-2009, 2009.
34. van Andel, S. J., Weerts, A., Schaake, J., and Bogner, K.: Post-processing hydrological ensemble predictions intercomparison experiment, Hydrol. Process., 27, 158-161, doi:10.1002/hyp.9595, 2013
35. Van Steenbergen, N. and Willems, P.: Increasing river flood preparedness by real-Time warning based on wetness state conditions, J. Hydrol., 489, 227-237, doi:10.1016/j.jhydrol.2013.03.015, 2013
36. Viglione, A. and Blöschl, G.: On the role of storm duration in the mapping of rainfall to flood return periods, Hydrol. Earth Syst. Sci., 13, 205-216, doi:10.5194/hess-13-205-2009, 2009
37. Wilks, D. S.: Statistical Methods in the Atmospheric Sciences: An Introduction, electronic version, Elsevier, San Diego, CA, 2006
38. Zappa, M., Jaun, S., Germann, U., Walser, A., and Fundel, F.: Superposition of three sources of uncertainties in operational flood forecasting chains, Atmos. Res., 100, 246-262, 2011
39. Zappa, M., Fundel, F., and Jaun, S.: A "Peak-Box" approach for supporting interpretation and verification of operational ensemble peak-flow forecasts, Hydrol. Process., 27, 117-131, doi:10.1002/hyp.9521, 2013.