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| Titel |
Comparing Downscaling Methods for Wind Energy Resource Assessment |
| VerfasserIn |
A. N. Hahmann, J. Badger, J. Nissen, D. Rostkier-Edelstein, T. Warner |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250028127
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| Zusammenfassung |
| To estimate the wind energy resources of a particular geographic region with inadequate observations, large-scale wind patterns (i.e. from reanalysis) are usually “adjusted”, or “downscaled”, to provide an improved representation of smaller scales. Many dynamical and mixed statistical-dynamical methods are currently used to provide high-resolution (5 km grid increments, or less) wind climatographies for wind energy resource assessment. We present a comparison of the local wind climatographies obtained by using various common dynamical and statistical-dynamical methods. The methods include random sampling, classifications based on local large-scale geostrophic wind and atmospheric stability and classifications based on the synoptic pattern using various clustering algorithms. The wind climate of the eastern Mediterranean that is simulated by a nested mesoscale model is considered as the true climatography against which the results of the different downscaling methods are compared. |
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