%0 Journal Article %1 Cloke2009a %A Cloke, H.L. %A Pappenberger, F. %D 2009 %J Journal of Hydrology %K approach ensemble flood forecasting %P 613-626 %T Ensemble flood forecasting: A review %V 375 %X Operational medium range flood forecasting systems are increasingly moving towards the adoption of ensembles of numerical weather predictions (NWP), known as ensemble prediction systems (EPS), to drive their predictions. We review the scientific drivers of this shift towards such ‘ensemble flood forecasting’ and discuss several of the questions surrounding best practice in using EPS in flood forecasting systems. We also review the literature evidence of the ‘added value’ of flood forecasts based on EPS and point to remaining key challenges in using EPS successfully.

@article{Cloke2009a, abstract = {Operational medium range flood forecasting systems are increasingly moving towards the adoption of ensembles of numerical weather predictions (NWP), known as ensemble prediction systems (EPS), to drive their predictions. We review the scientific drivers of this shift towards such ‘ensemble flood forecasting’ and discuss several of the questions surrounding best practice in using EPS in flood forecasting systems. We also review the literature evidence of the ‘added value’ of flood forecasts based on EPS and point to remaining key challenges in using EPS successfully.}, added-at = {2012-08-03T09:51:33.000+0200}, author = {Cloke, H.L. and Pappenberger, F.}, biburl = {https://www.bibsonomy.org/bibtex/2e7279617d0fc0bcec052bc7177906c87/b5anvo}, interhash = {af198f3f4d105efac4a0302109fac071}, intrahash = {e7279617d0fc0bcec052bc7177906c87}, journal = {Journal of Hydrology}, keywords = {approach ensemble flood forecasting}, pages = {613-626}, timestamp = {2012-08-03T09:51:34.000+0200}, title = {Ensemble flood forecasting: A review}, volume = 375, year = 2009 }