Monthly-, medium-, and short-range flood warning: Testing the limits of predictability

J. Thielen*, K. Bogner, F. Pappenberger, M. Kalas, M. del Medico, A. de Roo

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

45 Citations (Scopus)

Abstract

This paper describes a case study that explores the limits of the predictability of floods, by combining forecasts with multiple spatial and temporal resolutions. Monthly, medium- and short range numerical weather prediction (NWP) data are input to the European Flood Alert System for a flood event that affected rivers in Romania in October 2007. The NWP data comprise ensembles and deterministic forecasts of different spatial resolutions and lead times from different weather prediction models. Results are explored in terms of the individual NWP components as well as the ensemble. In this case study, ensembles of monthly weather forecasts contribute only marginally to the early warning, although some indication is given as early as 3 weeks before the event. The 15-day medium-range weather forecasts produce early flood warning information 9 to 11 days in advance. As the event draws nearer and is in range to be captured by the higher resolution ensemble forecasts, the spatial extent of the event is forecast with much more precision than with the medium-range. A novel post-processing method for the calculation of river discharge is applied to those stations where observations are available, and is able to correct for time-shifts and to improve the quantitative forecast. The study illustrates how a combination of forecasts and post-processing improves the lead time for early flood warnings by 2 to 3 days, while remaining reliable also in the short-range.

Original languageEnglish
Pages (from-to)77-90
Number of pages14
JournalMeteorological Applications
Volume16
Issue number1
DOIs
Publication statusPublished - 1 Mar 2009

Keywords

  • ARMAXSS
  • COSMO-LEPS
  • Discharge post-processing
  • Early flood warning
  • ECMWF
  • EFAS
  • Ensemble flood forecasting
  • Skill scores

Fingerprint

Dive into the research topics of 'Monthly-, medium-, and short-range flood warning: Testing the limits of predictability'. Together they form a unique fingerprint.

Cite this