Petra Friederichs - Chair of Statistics STAT

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Mesoscale Weather Prediction Statistical Postprocessing Applications Conclusions and Challenges Ensemble Postprocessing – Precipitation Case study – 3rd July 2009 Spatial Modelling – Wind Gusts Madogram F -Madogram: Cooley (2007) ν F (r i , r j ) = 1 2 E [|F (Y (r i)) − F (Y (r j ))|] , F -Madogram determines extremal coefficient Θ 2 (r i , r j ) = 1 + 2ν F (r i − r j ) 1 − 2ν F (r i − r j ) . P.<strong>Friederichs</strong> Extreme weather 36 / 45
Mesoscale Weather Prediction Statistical Postprocessing Applications Conclusions and Challenges Ensemble Postprocessing – Precipitation Case study – 3rd July 2009 Spatial Modelling – Wind Gusts Extremal coefficient 1.0 1.2 1.4 1.6 1.8 2.0 DWDnorth F−Madogram Smith Schlather Whittle−Matern Powered Exponential Cauchy Brown−Resnick 0 50 100 150 200 250 300 Distance in km P.<strong>Friederichs</strong> Extreme weather 37 / 45
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Petra Friederichs - Chair of Statistics STAT

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