HESS Opinions "forecaster priorities for improving probabilistic flood forecasts"

Hydrology and Earth System Sciences

Volumn 17, Issue 11, 2013, Pages 4389-4399

  Wetterhall, F ^a   Pappenberger, F ^a   Alfieri, L ^a   Cloke, H L ^b   Thielen Del Pozo, J ^c   Balabanova, S ^d   Danhelka J ^e   Vogelbacher, A ^f   Salamon, P ^c   Carrasco, I ^g   Cabrera Tordera, A J ^h   Corzo Toscano, M ^h   Garcia Padilla, M ^h   Garcia Sanchez, R J ^h   Ardilouze, C ⁱ   Jurela, S ^j   Terek, B ^j   Csik, A ^k   Casey, J ^l   Stankunavicius G ^m   Ceres, V ⁿ   Sprokkereef, E ^o   Stam, J ^o   Anghel, E ^p   Vladikovic, D ^q   Alionte Eklund, C ^r   Hjerdt, N ^r   Djerv, H ^r   Holmberg, F ^r   Nilsson, J ^r   Nystrom K ^r   Susnik M ^s   Hazlinger, M ^t   Holubecka, M ^t   more..

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

^b UNIVERSITY OF READING   (United Kingdom)

^c JOINT RESEARCH CENTRE   (Italy)

^d NATIONAL INSTITUTE OF METEOROLOGY AND HYDROLOGY   (Bulgaria)

^e CZECH HYDROMETEOROLOGICAL INSTITUTE   (Czech Republic)

^f Abt 10 Geologischer Dienst   (Germany)

^g Confederación Hidrográfica Del Ebro ^*  (Spain)

^h Environmental Information Network of Andalusia   (Spain)

ⁱ Service Central d'Hydrometeorologie et d'Appui A la Prevision des Inondations   (France)

^j Meteorological and Hydrological Institute of Croatia   (Croatia)

^k Environmental Protection and Water Management Research Institute   (Hungary)

^l Office of Public Works   (Ireland)

^m VILNIUS UNIVERSITY   (Lithuania)

ⁿ State Hydrometeorological Service   (Moldova)

^o RIJKSWATERSTAAT   (Netherlands)

^p Institutul National de Hidrologie i Gospod rirea Apelor   (Romania)

^q Republic Hydrometeorological Service of Serbia   (Serbia)

^r SWEDISH METEOROLOGICAL AND HYDROLOGICAL INSTITUTE   (Sweden)

^s Environmental Agency of the Republic of Slovenia   (Slovenia)

^t Slovak Hydrometeorological Institute   (Slovenia)

more..

Author keywords

[No Author keywords available]

Indexed keywords

FLOOD CONTROL; FLOODS; UNCERTAINTY ANALYSIS;

DETERMINISTIC SYSTEMS; EDUCATION AND TRAINING; ENSEMBLE PREDICTION SYSTEMS; FORECAST PERFORMANCE; HYDROLOGICAL MODELLING; OPERATIONAL FORECASTERS; OPERATIONAL FORECASTING; RESEARCH PRIORITIES;

WEATHER FORECASTING;

EXTREME EVENT; FLOOD FORECASTING; HAZARD ASSESSMENT; HYDROLOGICAL MODELING; HYDROMETEOROLOGY; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PROBABILITY; SPATIOTEMPORAL ANALYSIS;

EUROPE;

EID: 84887444753     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-17-4389-2013     Document Type: Review

References (50)

1. Addor, N., Jaun, S., Fundel, F., and Zappa, M.: An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios, Hydrol. Earth Syst. Sci., 15, 2327-2347, doi:10.5194/hess-15-2327-2011, 2011.
2. Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F.: GloFAS - global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17, 1161-1175, doi:10.5194/hess-17-1161-2013, 2013.
3. Arheimer, B., Lindström, G., and Olsson, J.: A systematic review of sensitivities in the Swedish flood-forecasting system, Atmos. Res., 100, 275-284, 2011.
4. Bartholmes, J. C., Thielen, J., Ramos, M. H., and Gentilini, S.: The european flood alert system EFAS - Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts, Hydrol. Earth Syst. Sci., 13, 141-153, doi:10.5194/hess-13-141-2009, 2009.
5. Bogner, K. and Pappenberger, F.: Multiscale error analysis, correction, and predictive uncertainty estimation in a flood forecasting system, Water Resour. Res., 47, W07524, doi:10.1029/2010WR009137, 2011.
6. Bogner, K., Pappenberger, F., and Cloke, H. L.: Technical Note: The normal quantile transformation and its application in a flood forecasting system, Hydrol. Earth Syst. Sci., 16, 1085-1094, doi:10.5194/hess-16-1085-2012, 2012.
7. Brown, J. D. and Seo, D.-J.: Evaluation of a nonparametric post-processor for bias correction and uncertainty estimation of hydrologic predictions, Hydrol. Process., 27, 83-105, doi:10.1002/hyp.9263, 2013.
8. Brown, J. D., Demargne, J., Seo, D.-J., and Liu, Y.: The Ensemble Verification System (EVS): A software tool for verifying ensemble forecasts of hydrometeorological and hydrologic variables at discrete locations, Environ. Model. Softw., 25, 854-872, 2010.
9. Cloke, H. L. and Pappenberger, F.: Ensemble Flood Forecasting: A Review, J. Hydrol., 375, 613-626, 2009.
10. Demargne, J., Wu, L., Regonda, S., Brown, J., Haksu, L., He, M., Seo, D.-J., Hartman, R., Herr, H.D., Fresch, M., Schaake, J. and Zhu, Y.: The Science of NOAA's Operational Hydrologic Ensemble Forecast Service, B. Am. Meteorol. Soc., doi:10.1175/BAMS-D-12-00081.1, in press, 2013.
11. Demeritt, D., Cloke, H., Pappenberger, F., Thielen, J., Bartholmes, J., and Ramos, M.-H.: Ensemble predictions and perceptions of risk, uncertainty, and error in flood forecasting, Environ. Hazards, 7, 115-127, 2007. (Pubitemid 47444596)
12. Demeritt, D., Nobert, S., Cloke, H., and Pappenberger, F.: Challenges in communicating and using ensembles in operational flood forecasting, Meteorol. Appl., 17, 209-222, 2010.
13. 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.
14. De Roo, A. P. J.,Wesseling, C. G., and Van Deursen,W. P. A.: Physically based river basin modelling within a GIS: The LISFLOOD model, Hydrol. Process., 14, 1981-1992, 2000.
15. Frick, J. and Hegg, C.: Can end-users' flood management decision making be improved by information about forecast uncertainty?, Atmos. Res., 100, 296-303, 2011.
16. Gaborit, E., Anctil, F., Fortin, V., and Pelletier, G.: On the reliability of spatially disaggregated global ensemble rainfall forecasts, Hydrol. Process., 27, 147-157, doi:10.1002/hyp.9509,2013.
17. Hannah, D. M., Demuth, S., van Lanen, H. A. J., Looser, U., Prudhomme, C., Rees, G., Stahl, K., and Tallaksen, L. M.: Large-scale river flow archives: importance, current status and future needs, Hydrol. Process., 25, 1191-1200, 2011.
18. He, Y., Wetterhall, F., Cloke, H. L., Pappenberger, F., Wilson, M., Freer, J., and McGregor, G.: Tracking the uncertainty in flood alerts driven by grand ensemble weather predictions, Meteorol. Appl., 16, 91-101, 2009.
19. He, Y., Pappenberger, F., Thielen-del Pozo, J., Weerts, A., Ramos, M.-H., and Bruen, M.: Preface Towards practical applications in ensemble hydro-meteorological forecasting, Adv. Geosci., 29, 119-121, doi:10.5194/adgeo-29-119-2011, 2011.
20. Laiolo, P., Gabellani, S., Rebora, N., Rudari, R., Ferraris, L., Ratto, S., Stevenin, H., and Cauduro, M.: Validation of the Flood-PROOFS probabilistic forecasting system, Hydrol. Process., doi:10.1002/hyp.9888, in press, 2013.
21. Liechti, K., Zappa, M., Fundel, F., and Germann, U.: Probabilistic evaluation of ensemble discharge nowcasts in two nested Alpine basins prone to flash floods, Hydrol. Process., 27, 5-17, 2013.
22. Liguori, S. and Rico-Ramirez, M. A.: A practical approach to the assessment of probabilistic flow predictions, Hydrol. Process., 27, 18-32, doi:10.1002/hyp.9468, 2013.
23. Lindström, G., Pers, C. P., Rosberg, R., Strömqvist, J., and Arheimer, B.: Development and test of the HYPE (Hydrological Predictions for the Environment) model - A water quality model for different spatial scales, Hydrol. Res., 41, 295-319, 2010.
24. Liu, Y., Duan, Q., Zhao, L., Ye, A., Tao, Y., Miao, C., Mu, X., and Schaake, J. C.: Evaluating the predictive skill of post-processed NCEP GFS ensemble precipitation forecasts in China's 5 Huai river basin, Hydrol. Process., 27, 57-74, doi:10.1002/hyp.9496, 2013.
25. Liu, Y.,Weerts, A. H., Clark, M., Hendricks Franssen, H.-J., Kumar, S., Moradkhani, H., Seo, D.-J., Schwanenberg, D., Smith, P., van Dijk, A. I. J. M., van Velzen, N., He, M., Lee, H., Noh, S. J., Rakovec, O., and Restrepo, P.: Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities, Hydrol. Earth Syst. Sci., 16, 3863-3887, doi:10.5194/hess-16-3863-2012, 2012.
26. Marty, R., Zin, I., and Obled, C.: Sensitivity of hydrological ensemble forecasts to different sources and temporal resolutions of probabilistic quantitative precipitation forecasts: flash flood case studies in the C'evennes-Vivarais region (Southern France), Hydrol. Process., 27, 33-44, doi:10.1002/hyp.9543, 2013.
27. Nobert, S., Demeritt, D., and Cloke, H. L.: Informing operational flood management with ensemble predictions: lessons from Sweden, J. Flood Risk Manage., 3, 72-79, 2010.
28. Olsson, J. and Lindström, G.: Evaluation and calibration of operational hydrological ensemble forecasts in Sweden, J. Hydrol., 350, 14-24, 2008.
29. Pagano, T. C., Shrestha, D. L., Wang, Q. J., Robertson, D., and Hapuarachchi, P.: Ensemble dressing for hydrological applications, Hydrol. Process., 27, 106-116, doi:10.1002/hyp.9313, 2013.
30. Pappenberger, F. and Brown, J. D.: HP today: on the pursuit of (im)perfection in flood forecasting, Hydrol. Process., 27, 162-163 doi:10.1002/hyp.9465, 2013.
31. 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, 2011.
32. Pappenberger, F., Stephens, L., van Andel, S. J., Verkade, J. S., Ramos, M. H., Alfieri, L., Brown, J. D., Zappa, M., Ricciardi, G., Wood, A., Pagano, T., Marty, R., Collischonn, W., Le Lay, M., Brochero, D., and Cranston, M.: Operational HEPS systems around the globe, http://hepex.irstea.fr/operational- heps-systems-around-the-globe/ (last access:30 September 2013), 2013a.
33. 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, doi:10.1002/hyp.9253, 2013b.
34. Parkes, B., Wetterhall, F., Pappenberger, F., He, Y., Malamud, B., and Cloke, H.: Assessment of a 1 h gridded precipitation dataset to drive a hydrological model: a case study of the summer 2007 floods in the Upper Severn, UK, Hydrol. Res., 44, 89-105, doi:10.2166/nh.2011.025, 2013.
35. Pitt, M.: Learning Lessons from the 2007 floods: an independent review by Sir Michael Pitt, Final Report, Cabinet Office, London, 2008.
36. Price, D., Pilling, C., Robbins, G., Lane, A., Boyce, G., Fenwick, K., Moore, R. J., Coles, J. Harrison, T., and Van Dijk, M.: Representing the spatial variability of rainfall for input to the G2G distributed flood forecasting model: operational experience from the Flood Forecasting Centre, in: Weather Radar and Hydrology, Proc. Exeter Symp., April 2011, IAHS Publ. 351, edited by: Moore, R. J., Cole, S. J., and Illingworth, A. J., International Association of Hydrological Sciences, 532-537, 2012.
37. Ramos, M. H., Mathevet, T., Thielen, J., and Pappenberger, F.: Communicating uncertainty in hydro-meteorological forecasts: mission impossible?, Meteorol. Appl., 17, 223-235, 2010.
38. Ramos, M. H., van Andel, S. J., and Pappenberger, F.: Do probabilistic forecasts lead to better decisions?, Hydrol. Earth Syst. Sci., 17, 2219-2232, doi:10.5194/hess-17-2219-2013, 2013.
39. Schaake, J., Franz, K., Bradley, A., and Buizza, R.: The Hydrologic Ensemble Prediction EXperiment (HEPEX), Hydrol. Earth Syst. Sci. Discuss., 3, 3321-3332, doi:10.5194/hessd-3-3321-2006, 2006. (Pubitemid 46889109)
40. Schaake, J., Pailleux, J., Arritt, R., Hamill, T., Luo, L., Martin, E., McCollor, D., and Pappenberger, F.: Summary of recommendations of the first workshop on Postprocessing and Downscaling Atmospheric Forecasts for Hydrologic Applications held at Météo-France, 15-18 June 2009, Toulouse, France, Atmos. Sci. Lett., 11, 59-63, 2010.
41. Silvestro, F. and Rebora, N.: Operational verification of a framework for the probabilistic nowcasting of river discharge in smalland medium size basins, Nat. Hazards Earth Syst. Sci., 12, 763-776, doi:10.5194/nhess-12-763-2012, 2012.
42. SOU 2007:60: Sverige inför klimatförändringarna - hot och möjligheter, Statens offentliga utredningar, Swedish Ministry of Environment, Stockholm, Sweden, 2007.
43. 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.
44. Thirel, G., Martin, E., Mahfouf, J.-F., Massart, S., Ricci, S., and Habets, F.: A past discharges assimilation system for ensemble streamflow forecasts over France - Part 1: Description and validation of the assimilation system, Hydrol. Earth Syst. Sci., 14, 1623-1637, doi:10.5194/hess-14-1623-2010, 2010a.
45. Thirel, G., Martin, E., Mahfouf, J.-F., Massart, S., Ricci, S., Regimbeau, F., and Habets, F.: A past discharge assimilation system for ensemble streamflow forecasts over France - Part 2: Impact on the ensemble streamflow forecasts, Hydrol. Earth Syst. Sci., 14, 1639-1653, doi:10.5194/hess-14-1639- 2010, 2010b.
46. 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.
47. Velázquez, J. A., Anctil, F., Ramos, M. H., and Perrin, C.: Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures, Adv. Geosci., 29, 33-42, doi:10.5194/adgeo-29-33-2011, 2011.
48. Webster, P. , Jian, J., Hopson, T., Hoyos, C., Agudelo, P., Chang, H.-R., Curry, J., Grossman, R., Palmer, T., and Subbiah, A.: Extended-Range Probabilistic Forecasts of Ganges and Brahmaputra Floods in Bangladesh., B. Am. Meteorol. Soc., 91, 1493-1514, 2010.
49. Wilks, D. S.: Statistical Methods in the Atmospheric Sciences, 2nd Edn., Academic, Amsterdam, 627 pp., 2006.
50. 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.