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| Titel |
Temperature Auto-correlation and Spectra functions in low-wind conditions. |
| VerfasserIn |
Luca Mortarini, Lilian Moor, Gervásio Degrazia, Domenico Anfossi |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250112196
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| Publikation (Nr.) |
 EGU/EGU2015-12352.pdf |
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| Zusammenfassung |
| During Low-Wind speed episodes, when the mean wind velocity falls below 1.5 m/s, the horizontal wind vector shows a characteristic meandering behaviour and the auto-correlation and spectra functions of the wind velocity components clearly identify a meandering time-scale (Mortarini and Anfossi, 2014). This time-scale is larger than the one associated to turbulence, suggesting that the meandering phenomenon may be connected with sub-mesoscale motions. In this work the auto-correlation and spectra functions of the temperature field in low-wind episodes are investigated through the analysis of sonic anemometer observations to show that also the temperature field presents an oscillating behaviour. Two different dataset are analyzed: a urban-sub urban dataset, UTP (Mortarini et al., 2013, Trini Castelli et al., 2014) and an open field dataset (Acevedo et al., 2014). |
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