Project 5: Verifjcation of high resolution and ECMWF wind speed - - PowerPoint PPT Presentation

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Project 5: Verifjcation of high resolution and ECMWF wind speed - - PowerPoint PPT Presentation

Project 5: Verifjcation of high resolution and ECMWF wind speed forecasts for Iceland Olena Palakhniuk Vsevolod Moreydo Christopher Frank Gurn Nna Petersen Eyrarbakki, S-Iceland Automatjc weather statjon 3 m a.s.l. Data: - One


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Project 5:

Verifjcation of high resolution and ECMWF wind speed forecasts for Iceland

Olena Palakhniuk Vsevolod Moreydo Christopher Frank Guðrún Nína Petersen

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Eyrarbakki, S-Iceland Automatjc weather statjon 3 m a.s.l.

Data:

  • One year of data 2014-2015
  • Observatjons: hourly

wind speed measurments

  • Model data, untjl 48h
  • HARMONIE: hourly
  • HIRLAM: 3-hourly
  • ECMWF: 6-hourly

Observed wind speed winter 2014-2015 Functjon of tjme PDF of obs

Wind speed (m/s)

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Questions & methods

  • How well does HARMONIE perform on an hourly

basis?

  • How well do the models perform at 24-48 h and

compare? Methods:

  • Basic scores
  • Categorical scores for low, medium, strong and very

strong winds

  • Taylor diagramme for models and lead tjmes
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Hourly data

24 hour forecasts of 10 m wind speed compared to

  • bservatjons
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SLIDE 5

Mean Absolute Error 2.19 m/s Mean Error 0.03 m/s Mean Squared Error 8.09 m2/s2 Bias-corrected Root Mean Squared Error 2.84 m/s Pearson’s Correlatjon Coeffjcient 0.80

24 hour forecasts

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SLIDE 6

Close CDFs between the

  • bservatjons and the

forecasts except for high (>20 m/s) wind speeds 24 hour forecasts

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  • Good performance at low

wind-speed

  • Over-forecastjng of higher

wind speed leads to more misses

  • Under-forecastjng leads to

less detectjon 24 hour forecasts

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SLIDE 8

Three models

  • ECMWF: hydrostatjc, ~9 km horizontal resolutjon
  • HIRLAM: hydrostatjc, 5 km horizontal resolutjon
  • HARMONIE: non-hydrostatjc, 2.5 km horizontal resolutjon
  • Forcasts:
  • 24-48 hours
  • Initjalised at 12Z
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SLIDE 9
  • ECMWF has a negatjve bias,

underpredicts, especially at higher wind speeds

  • HIRLAM has also a negatjve bias,

but smaller

  • HARMONIE has ~0 bias
  • Bias corrected RMSE is similar for

all models

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SLIDE 10
  • The higher the wind speed the betuer HARMONIE

performs with regards to the other models

  • Higher probability of detectjon
  • Only slightly higher falsa alarm ratjo
  • Frequency bias > 1 for very strong winds
  • ECMWF predicts wind speed > 15 m/s in only

2 cases

  • Calm conditjons (<5 m/s)
  • ECMWF with highest POD but also largest frequency

bias

Low: [0,5) m/s Medium: [5,10) Strong: [10,15)

  • V. strong: [15,->)
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SLIDE 11

Low: [0,5) m/s Medium: [5,10) Strong: [10,15) V.strong: [15,->)

  • Equitable Skill Score (ETS): Divergence for strong and very

strong winds

  • Symmetric Extremal Dependency index (SEDI): HARMONIE
  • utperforms the others for highest wind category
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Observatjon

  • Standard deviatjon observatjons: ~4.4 m/s

HARMONIE has similar SD for all lead tjmes

  • Distance Obs-mode: BC-RMSE
  • ECM: 3.2 m/s
  • HIRLAM: 3.4 m/s
  • HARMONIE: 3.3 m/s
  • Correlatjon:

HARMONIE has the highest for 12-36h

For this one year of data HARMONIE outperforms the other two models in most aspects

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SLIDE 13

Thank you!