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Published byLester French Modified over 9 years ago
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Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Local Probabilistic Weather Predictions for Switzerland Vanessa Stauch Offenbach, September 2009 COSMO General Meeting
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2 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch motivation for local prob. forecasts OptiControl project: stochastic model predictive control of indoor climate wind power prediction for electricity market
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3 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch COSMO-LEPS spatial spread COSMO-LEPS mean spread, lead time 24h, May 2008 COSMO-LEPS mean spread, lead time 123h, May 2008
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4 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch Swiss met. measurement network 72 stations
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5 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch COSMO-LEPS calibration potential 5 th & 95 th spatial percentile bias correction potential spread correction potential T2M for Swiss stations (03.2008-02.2009)
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6 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch COSMO-LEPS calibration potential wanted: bias and spread calibration 5 th & 95 th spatial percentile bias correction potential spread correction potential FF10M for Swiss stations (03.2008-02.2009)
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7 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch bias calibration with Kalman Filter error model: states evolution: prediction: with error : ^ ^ apply this to ensemble median and correct all member equally
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8 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch calibration with COSMO-LEPS median no beneficial spread calibration
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9 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch local forecast error calibration I systematic error
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10 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch local forecast error calibration II σ
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11 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch bias calibration with Kalman Filter error model: states evolution: prediction: with error : ^ ^ spread
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12 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch spread calibration with Kalman Filter error model: states evolution: prediction: with error : ^ ^
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13 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch forecast distributions COSMO-LEPS mean COSMO-LEPS mean-KF COSMO-LEPS spread DMO DMOKF COSMO-LEPS spread KF -KFplus expectation value standard deviation » simulate normally distributed ensemble
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14 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch CRPS verification x < observed x ≥ observed skill score:
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15 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch calibration results for T2M bias correction spread correction
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16 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch calibration results for T2M ref: COSMO-LEPS DMO
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17 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch calibration results for FF10M bias correction spread correction
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18 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch calibration results for FF10M ref: COSMO-LEPS DMO
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19 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch conclusions » local observations are needed for useful uncertainty prediction » 2m temperature and 10m wind speed of COSMO-LEPS are suitable candidates for bias & spread calibration with a combined Kalman Filter system » forecast skill increases by 30-60 % » potential for spread calibration highest for the first 3 days and in summer higher than in winter » different probabilistic verification scores should be additionally used to quantify the effect of the spread calibration
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20 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch T(2m) spread-skill of COSMO-LEPS monthly variability (Ø55 stations) station-based variability (Ø1 year)
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21 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch uncertainty forecast with COSMO-7 ref: COSMO-7 KF & COSMO-LEPS spread
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22 Local uncertainty prediction | COSMO GM 2009 Vanessa Stauch COSMO models COSMO-7 COSMO-LEPS COSMO-2 COSMO-LEPS 10km, +132 hours COSMO-7 6.6km, +72 hours COSMO-2 2.2km, +24 hours
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