Open Access
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
Article Number 18011
Number of page(s) 11
Section Forecasting and warning
Published online 20 October 2016
  1. Krzysztofowicz R. (2001). The case for probabilistic forecasting in hydrology. Journal of Hydrology, 249(1–4), 2–9. [CrossRef]
  2. Ramos M. H., Van Andel S. J. and Pappenberger F. (2013). Do probabilistic forecasts lead to better decisions? Hydrology and Earth System Sciences, 17, 2219–2232. [CrossRef]
  3. Roulin E. (2007). Skill and relative economic value of medium-range hydrological ensemble predictions. Hydrology and Earth System Sciences, 11(2), 725–737. [CrossRef]
  4. Houdant B. (2004). Contribution à l’amélioration de la prévision hydrométéorologique opérationnelle. Pour l’usage des probabilités dans la communication entre acteurs. PhD thesis, ENGREF (AgroParisTech).
  5. Demeritt D., Nobert S., Cloke H. and Pappenberger F. (2010). Challenges in communicating and using ensembles in operational flood forecasting. Meteorological Applications, 17(2), 209–222 [CrossRef]
  6. Thielen J., Bartholmes J., Ramos M.-H. and de Roo A. (2009). The European Flood Alert System – Part 1: Concept and development. Hydrology and Earth System Sciences, 13(2), 125–140. [CrossRef]
  7. Demargne J., Wu L., Regonda S. K., Brown J. D., Lee H., He M., et al. (2014). The Science of NOAA’s Operational Hydrologic Ensemble Forecast Service. Bulletin of the American Meteorological Society, 95(1), 79–98. [CrossRef]
  8. Cloke H. L. and Pappenberger F. (2009). Ensemble flood forecasting: A review. Journal of Hydrology, 375(3–4), 613–626. [CrossRef]
  9. Lorenz E. N. (1969). Atmospheric Predictability as Revealed by Naturally Occurring Analogues. Journal of the Atmospheric Sciences, 26(4), 636–646. [CrossRef]
  10. Buizza R., Milleer M. and Palmer T. N. (1999). Stochastic representation of model uncertainties in the ECMWF ensemble prediction system. Quarterly Journal of the Royal Meteorological Society, 125(560), 2887–2908. [CrossRef]
  11. Bauer P., Thorpe A. and Brunet G. (2015). The quiet revolution of numerical weather prediction. Nature, 525(7567), 47–55. [CrossRef] [PubMed]
  12. Verkade J. S., Brown J. D., Reggiani P. and Weerts A. H. (2013). Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales. Journal of Hydrology, 501, 73–91. [CrossRef]
  13. Zalachori I., Ramos M.-H., Garçon R., Mathevet T. and Gailhard J. (2012). Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies. Advances in Science and Research, 8, 135–141. [CrossRef]
  14. Obled C., Bontron G. and Garçon R. (2002). Quantitative precipitation forecasts: a statistical adaptation of model outputs through an analogues sorting approach. Atmospheric Research, 63(3–4), 303–324. [CrossRef]
  15. Marty R., Zin I. and Obled C. (2013). Sensitivity of hydrological ensemble forecasts to different sources and temporal resolutions of probabilistic quantitative precipitation forecasts: flash flood case studies in the Cévennes-Vivarais region (Southern France). Hydrological Processes, 27(1), 33–44. [CrossRef]
  16. Jolliffe I. T. and Stephenson D. B. (2011). Forecast Verification: A Practitioner’s Guide in Atmospheric Science (2nd Edition), Wiley. [CrossRef]
  17. Welles E., Sorooshian S., Carter G. and Olsen B. (2007). Hydrologic Verification: A Call for Action and Collaboration. Bulletin of the American Meteorological Society, 88(4), 503–511. [CrossRef]
  18. Kang T.-H., Kim Y.-O. and Hong I.-P. (2010). Comparison of pre- and post-processors for ensemble streamflow prediction. Atmospheric Science Letters, 11(2), 153–159. [CrossRef]
  19. Bartholomes J. C., Thielen J., Ramos M. H. and Gentilini S. (2009). The European Flood Alert System EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts. Hydrology and Earth System Sciences, 13(2), 141–53 [CrossRef]
  20. Brown J. D., Demargne J., Seo D.-J. and Liu Y. (2010). The Ensemble Verification System (EVS): A software tool for verifying ensemble forecasts of hydrometeorological and hydrologic variables at discrete locations. Environmental Modelling & Software, 25(7), 854–872. [CrossRef]
  21. Zappa M., Fundel F. and Jaun S. (2013). A ‘Peak- Box’ approach for supporting interpretation and verification of operational ensemble peak-flow forecasts. Hydrological Processes, 27(1), 117–131. [CrossRef]
  22. Box G. E. P., Jenkins G. M., Reinsel G. C. and Ljung G. M. (2015). Time Series Analysis: Forecasting and Control, John Wiley & Sons.
  23. Bompart P., Bontron G., Celie S. and Haond M. (2009). Une chaîne opérationnelle de prévision hydrométéorologique pour les besoins de la production hydroélectrique de la CNR. La Houille Blanche, 5, 54–60. [CrossRef] [EDP Sciences]
  24. Leutbecher M., & Palmer T. N. (2008). Ensemble forecasting. Journal of Computational Physics, 227(7), 3515–3539. [CrossRef]
  25. Park Y.-Y., Buizza R. and Leutbecher M. (2008). TIGGE: Preliminary results on comparing and combining ensembles. Quarterly Journal of the Royal Meteorological Society, 134(637), 2029–2050. [CrossRef]
  26. Bontron G. and Obled C. (2005). A probabilistic adaptation of meteorological model outputs to hydrological forecasting. La Houille Blanche, 1, 23–28.
  27. Ben Daoud A., Sauquet E., Lang M., Bontron G. and Obled C. (2011). Precipitation forecasting through an analog sorting technique: a comparative study. Advances in Geosciences, 29, 103–107. [CrossRef]
  28. Marty R., Zin I., Obled C., Bontron G. and Djerboua A. (2012). Toward Real-Time Daily PQPF by an analog sorting approach: application to flash-flood catchments. Journal of Applied Meteorology and Climatology, 51, 505–520. [CrossRef]
  29. Chardon J., Hingray B., Favre A. C., Autin P., Gailhard J., Zin I., Obled C. (2014). Spatial Similarity and Transferability of Analog Dates for Precipitation Downscaling over France. Journal of Climate, 27(13), 5056–5074. [CrossRef]
  30. Ben Daoud A., Sauquet E., Bontron G., Obled C. and Lang M. (2016). Daily quantitative precipitation forecasts based on the analogue method: Improvements and application to a French large river basin. Atmospheric Research, 169, 147–59. [CrossRef]
  31. Dee D. P., Uppala S. M., Simmons A. J., Berrisford P., Poli P., Kobayashi S., et al. (2011). The ERAInterim reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656), 553–597. [CrossRef]
  32. Saha S., Moorthi S., Pan H.-L., Wu X., Wang J., Nadiga S. et al. (2010). The NCEP Climate Forecast System Reanalysis. Bulletin of the American Meteorological Society, 91(8), 1015–1057. [CrossRef]
  33. Clark M., Gangopadhyay S., Hay L., Rajagopalan B. and Wilby R. (2004). The Schaake Shuffle: A method for reconstructing space–time variability in forecasted precipitation and temperature fields. Journal of Hydrometeorology, 5(1), 243–262 [CrossRef]
  34. Bontron G. (2004). Prévision quantitative des précipitations : adaptation probabiliste par recherche d’analogues. Utilisation des Réanalyses NCEP/NCAR et application aux précipitations du Sud-Est de la France. PhD thesis, Institut National Polytechnique de Grenoble.
  35. Trihn B. N., Thielen J., Thirel G. (2013). The reduction continuous rank probability score for evaluating discharge forecasts from hydrological ensemble prediction systems. Atmospheric Science Letters, 14(2), 61–65. [CrossRef]
  36. Efron B. and Tibshirani R. J. (1994). An Introduction to the Bootstrap, CRC Press.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.