Operational low flow forecasts
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1 Operational low flow forecasts Silke Rademacher Department Water Balance, Forecasting and Predictions Federal Institute of Hydrology (BfG) Koblenz KHR-CHR Workshop Low flows and droughts 25 & 26 September 2007, Würzburg Operational low flow forecasts Page 1
2 Responsibility in Germany Navigability of ships and maintenance of large rivers: Federal Waterway and Navigation Administration (WSV) Flood defence, flood warning and forecasting service German Federal States Operational low flow forecasts Page 2
3 Water Level Forecasting System WAVOS Bundesanstalt für Gewässerkunde, Koblenz Operational low water forecast Hochwasser- Vorhersagezentrale Frankfurt (Oder) Hochwassermeldezentrum Rhein, Mainz Vorhersagezentrale Elbe, Magdeburg Hochwassermeldezentrum Saarland, Saarbrücken WAVOS Saar Hochwasser- Vorhersagezentrale Main, Hof Operational low flow forecasts Page 3
4 Low flow forecasting along the Rhine > 7 gauging stations: Oestrich, Kaub, Koblenz, Köln, Düsseldorf, Duisburg-Ruhrort, Emmerich > Forecasting horizon: 48 hours > Forecasting time: 7:00 > Daily Forecast: Water level at gauge Ruhrort 400cm Operational low flow forecasts Page 4
5 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) Operational low flow forecasts Page 5
6 WAVOS Rhine > Tributaries Rhine model > Maxau/Oberrhein > Rockenau/Neckar > Neubrück/Erft > Raunheim/Main > Hattingen/Ruhr >Grolsheim/Nahe > Schermbeck/Lippe > Kalkofen/Lahn > Trier u. Cochem/Mosel > Friedrichstal/Wied > Altenahr/Ahr > Menden/Sieg > Opladen/Wupper Operational low flow forecasts Page 6
7 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) Operational low flow forecasts Page 7
8 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) >Main (380 km) Operational low flow forecasts Page 8
9 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) >Main (380 km) >Moselle-Saar-Sauer (425 km) Operational low flow forecasts Page 9
10 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) >Main (380 km) >Moselle-Saar-Sauer (425 km) > Statistical model >Maxau/Rhein >Rockenau/Neckar >Fremersdorf/Saar Operational low flow forecasts Page 10
11 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) >Main (380 km) >Moselle-Saar-Sauer (425 km) > Statistical model >Maxau/Rhein >Rockenau/Neckar >Fremersdorf/Saar > External forecasts Operational low flow forecasts Page 11
12 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) >Main (380 km) >Moselle-Saar-Sauer (425 km) > Statistical model >Maxau/Rhein >Rockenau/Neckar >Fremersdorf/Saar > External forecasts > Forecaster s estimate Operational low flow forecasts Page 12
13 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) >Main (380 km) >Moselle-Saar-Sauer (425 km) > Statistical model >Maxau/Rhein >Rockenau/Neckar >Fremersdorf/Saar > External forecasts > Forecaster s estimate Operational low flow forecasts Page 13
14 WAVOS Rhine - Results Anteil der Vorhersagen mit einer Differenz kleiner 10cm [%] Tages-Vorhersage 2-Tages-Vorhersage Standardabweichung (1-Tages-VHS) Standardabweichung (2-Tages-VHS) 0 Oestrich Kaub Koblenz Köln D`dorf Ruhrort Emmerich Vorhersagepegel Operational low flow forecasts Page Standardabweichung [cm]
15 WAVOS Rhine - Results 100 Anteil der Vorhersagen mit einer Differenz zwischen Vorhersage- und Messwert kleiner 10 cm [%] Pegel Oestrich Pegel Kaub Pegel Koblenz Pegel Köln Pegel Düsseldorf Pegel Ruhrort Pegel Emmerich Auswertezeitraum: Operational low flow forecasts Vorhersagedauer [h] Page 15
16 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) >Main (380 km) >Moselle-Saar-Sauer (425 km) > Statistical model >Maxau/Rhein >Rockenau/Neckar >Fremersdorf/Saar > External forecasts > Forecaster s estimate 48h-Forecast Operational low flow forecasts Page 16
17 Low flow forecasting along the Rhine > 7 gauging stations: Oestrich, Kaub, Koblenz, Köln, Düsseldorf, Duisburg-Ruhrort, Emmerich > Forecasting horizon: 48 hours > Forecasting time: 7:00 > Daily Forecast: Water level at gauge Ruhrort 400cm 96 hours > Dissemination via to river headquarter and Internet (ELWIS) Operational low flow forecasts Page 17
18 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) >Main (380 km) >Moselle-Saar-Sauer (425 km) > Statistical model >Maxau/Rhein >Rockenau/Neckar >Fremersdorf/Saar > External forecasts > Forecaster s estimate 96h-Forecast Forecasting Range to short Only for 2 tributaries available... Operational low flow forecasts Page 18
19 WAVOS Rhine > 1D hydrodynamic model >Rhine and Moselle (685 km) >Main (380 km) >Moselle-Saar-Sauer (425 km) > Statistical model >Maxau/Rhein >Rockenau/Neckar >Fremersdorf/Saar > External forecasts > Precipitation runoff model To obtain > a consistent forecast > with a adequate leadtime for all tributaries Operational low flow forecasts Page 19
20 NL HBV Rhine D Precipitation runoff model > Catchment upstream of Lobith ( more than km²) L > 134 subbasins (each between 500 and km²) > time step: 1 hour F A Operational low flow forecasts Page 20 CH
21 NL HBV Rhine Development in cooperation with RIZA: D > Flood forecast RIZA > case studies >Transnational effects of extreme floods at the Lower Rhine > Climate change L F A Operational low flow forecasts Page 21 CH
22 WAVOS Rhine FEWS DE Operational low flow forecasts Page 22
23 WAVOS Rhine FEWS DE Meteo measurements Meteo forecasts Hydro measurements External forecasts FEWS DE Hydro measurements forecast for tributaries WAVOS Rhine Rhine forecast Operational low flow forecasts Page 23
24 FEWS DE Precipitation runoff model - input data Phase Data Parameter Spatial Resolution Initialisation Forecast Measured TTRR station data Measured synop station data Measured water level DWD weather forecast Local Model (LM) DWD weather forecast Global Model (GME) BAFU external forecast P, T 45 stations 1 h P, T 204 stations 6 h / 12 h W 47 gauges 1 h Timestep Leadtime P, T ~ 7 km 1 h 78 h P, T ~ 40 km 3 h 174 h W gauge Rheinfelden 1 h 67 h Operational low flow forecasts Page 24
25 WAVOS Rhine FEWS DE Results 100 Pegel Köln (10 cm Schwelle) Anteil der Vorhersagen mit einer Differenz kleiner 10 cm Pegel Köln 2-Tages-VHS (operat. 2007) GME + manuelle Anpassungen GME automatisch LM + manuelle Anpassungen LM automatisch HVZ + LM WAVOS + LM HVZ + WAVOS + LM Anteil der Vorhersagen mit einer Differenz kleiner 20 cm 30 Pegel Köln Vorhersagedauer [h] 2-Tages-VHS (operat. 2007) GME + manuelle Anpassungen 50 GME automatisch LM + manuelle Anpassungen LM automatisch 40 HVZ + LM WAVOS + LM HVZ + WAVOS + LM Pegel Köln (20 cm Schwelle) Operational low flow forecasts Vorhersagedauer [h] Page 25
26 FEWS DE One of the main sources for the increasing of uncertainty is the uncertainty in the weather forecast Ensemble weather predictions Project Verification of Ensemble forecasting in the Rhine basin RIZA BfG Cooperation /CHR -Project WL Delft hydraulics Operational low flow forecasts Page 26
27 Verification of Ensemble forecasting in the Rhine basin ECMWF-EPS ensemble (re-sampled as used in FEWS-NL) 50 ensemble members + 1 control run timestep 12h leadtime 240h Spatial resolution ~ 80km COSMO-LEPS ensemble 16 ensemble members timestep3h leadtime 5 1/2d Spatial resolution ~ 10km 07/06/ /06/ /01/ /05/2007 Operational low flow forecasts Page 27
28 FEWS DE Ensemble Operational low flow forecasts Page 28
29 FEWS DE - Ensemble Lahn Catchment Area Operational low flow forecasts Page 29
30 FEWS DE - Ensemble Operational low flow forecasts Page 30
31 FEWS DE - Ensemble Operational low flow forecasts Page 31
32 FEWS DE - Ensemble Operational low flow forecasts Page 32
33 FEWS DE - Ensemble Operational low flow forecasts Page 33
34 Verification of Ensemble forecasting in the Rhine basin What is the skill, reliability and potential utility of the ensemble in predicting events at different lead times? What are the effects of scale on the skill of the ensemble predictions? Do the high resolution ensembles available through COSMO-LEPS indicate a higher skill than the low resolution ECMWF-EPS ensemble where the scale issue becomes apparent? Operational low flow forecasts Page 34
35 Verification of Ensemble forecasting in the Rhine basin Several statistics commonly applied in verification of probabilistic forecasts were used the Brier (Skill) Score, the Ranked Probability (Skill) Score verification diagrams Relative Operating Characteristic Attributes diagram. Operational low flow forecasts Page 35
36 Verification of Ensemble forecasting in the Rhine basin - Results At low flows it is shown that the ensemble forecasts are a reliable indicator, with a high forecast skill for long lead times. For the smaller catchments the skill of the ensemble forecast was clearly shown to deteriorate faster than in the larger catchments. In all cases the ensemble forecast were demonstrated to have positive skill, meaning that there is utility in using ensemble in forecasting for the Rhine basin. Operational low flow forecasts Page 36
37 Verification of Ensemble forecasting in the Rhine basin - Results The period over which the ensembles have been verified is limited, with few events of significance occurring in the Rhine basin. As a result the skill in predicting rare events for which the forecasting system has been constructed has not been assessed, but can only be inferred on the results found for the evaluation period. Relatively short period for which the COSMO-LEPS ensemble is currently available => Repeat the analysis in 1 to 1½ years when a more substantial set of ensembles is available, and if available a larger number of (extreme) events Operational low flow forecasts Page 37
38 Thank you for your attention! Silke Rademacher Referat Wasserhaushalt, Vorhersagen und Prognosen Bundesanstalt für Gewässerkunde Am Mainzer Tor Koblenz Tel.: 0261/ , Fax: 0261/ rademacher@bafg.de Operational low flow forecasts Page 38
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