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SRNWP-PEPS COSMO General Meeting September 2005

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Presentation on theme: "SRNWP-PEPS COSMO General Meeting September 2005"— Presentation transcript:

1 SRNWP-PEPS COSMO General Meeting 2005 20-23 September 2005
a regional multi-model ensemble in Europe COSMO General Meeting 2005 20-23 September 2005 Zürich (Switzerland) Presentation of Michael Denhard Short-Range Numerical Weather Prediction Programme Internet: Apr-19

2 20 weather services / 23 forecast products
Denmark HIRLAM ECMWF +60h 0, 6, 12, 18 Finland HIRLAM ECMWF +54h 0, 6, 12, 18 Ireland HIRLAM ECMWF +48h 0, 6, 12, 18 Netherlands HIRLAM ECMWF +48h 0, 6, 12, 18 Spain HIRLAM ECMWF +24h 0, 12 Norway I HIRLAM ECMWF +30h 0, 12 Norway II HIRLAM ECMWF +30h 0, 12 Sweden I HIRLAM ECMWF +48h 0, 6, 12, 18 Sweden II HIRLAM ECMWF +48h 0, 6, 12, 18 Belgium ALADIN ARPEGE +60h 0, 12 Austria ALADIN-AUSTRIA ARPEGE +48h 0, 12 France ALADIN-FRANCE 11 ARPEGE +48h 0, 12 Croatia ALADIN-LACE ARPEGE +48h 0, 12 Czech Rep. ALADIN-LACE 11 ARPEGE +48h 0, 12 Hungary ALADIN-LACE 11 ARPEGE +48h 0, 12 Slovakia ALADIN-LACE 11 ARPEGE +48h 0, 12 Slovenia ALADIN-LACE ARPEGE +48h 0, 12 UK I UKMO-LAM 12 UM global +48h 0, 6, 12, 18 UK II UKMO-EU 12 UM global +48h 0, 6, 12, 18 Germany LM 7 GME +48h 0, 12, 18 Switzerland aLMo 7 ECMWF +72h 0, 12 Italy Euro LM 7 EuroHRM +60h 0 Poland LM GME +72h 0, 12 Apr-19

3 SRNWP-PEPS Probabilities PEPS-Grid with a grid spacing of
0.0625° (~7 km) covering Europe Probabilities (Nearest Neighbour) The ensemble size depends on location and every PEPS grid point has its own probability distribution Apr-19

4 Ensemble Products Ensemble mean. Forecast periods h (24 hours), h and h (12 hours) Total precipitation (accumulation), sum of convective and large scale precipitation Total snow (accumulation) ), sum of convective and large scale snow Maximum 10 m wind speed Maximum 10 m wind gust speed 2 m minimum/maximum temperature Probabilistic products. Forecast period h (24 hours) Probabilities of total precipitation Thresholds: > 25, > 40, > 70 mm Probabilities of total snow Thresholds: > 1, > 5, > 10, > 20 cm Probabilities of maximum wind speed Thresholds: > 10, > 15, > 20, > 25 m/s Probabilities of maximum wind gust speed Thresholds: > 10, > 15, > 20, > 25, > 33 m/s Probabilistic products. Forecast periods h and h (12 hours) Probabilities of total precipitation Thresholds: > 20, > 50, > 100 mm Probabilities of total snow Thresholds: > 1, > 5, > 10, > 20 cm Probabilities of maximum wind gust speed Thresholds: > 10, > 15, > 20, > 25, > 33 m/s Ensemble size per grid point at most 19 Apr-19

5 Maximum Ensemble Size Total precip. snow Wind speed gust Temperature
depends on main run and meteorological parameter Total precip. snow Wind speed gust Temperature Maximum Ensemble Size 00 UTC 06 UTC 12 UTC 18 UTC 20 19 8 7 6 - 1 Ensemble size per grid point at most 19 Apr-19

6 Ensemble Mean 21/01/ UTC Apr-19

7 21/01/ UTC Apr-19

8 Cut-off times SRNWP-PEPS runs operationally since December 2004 Apr-19
Ensemble size per grid point at most 19 SRNWP-PEPS runs operationally since December 2004 Apr-19

9 provided by COSMO and some ALADIN countries
Mask of areas without sufficient models Wind gusts provided by COSMO and some ALADIN countries statistical estimation of wind gusts within PEPS? Statistics of availability of models Additional products more synoptic oriented parameters indices of convectivity Precipitation median instead of mean lower thresholds PEPS-Meteograms (provided by Meteoswiss) running under way planned Apr-19

10 Bayesian Model Averaging (BMA) Raftery et. al., 2005
Validation Comparison with COSMO-LEPS Scoring probabilistic forecasts Ensemble Calibration Bayesian Model Averaging (BMA) Raftery et. al., 2005 BMA for precipitation running under way planned Apr-19

11 Scientific use (products & individual forecasts)
EURORISK Prev.I.EW windstorms workpackage MAP D-Phase (Mesoscale Alpine Program) Hydrological Ensemble Forecasts consistent forecast scenarios of precipitation from COSMO-LEPS, SRNWP-PEPS and LMK for the „MULDE“ catchment in Germany University Bochum, DWD, BAH Berlin, WASY Wind Power Prediction ”Optimal Combination of Local Area Models of European Weather Services with Regard to Wind Power Prediction” Energy & Meteo Systems, University Oldenburg, DWD Commercial use (products only) ECOMET product list running under way planned Apr-19

12 Thank you to the contributing Weather Services !
Apr-19


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