We present an algorithm that allows us to analyze the cross-correlation of wind velocity measured in different locations; this algorithm is applied to 29 recording stations in Sicily. The results show that such correlations present a significant and persistent ultrametric structure that is influenced by the geographical neighborhood as well as by the presence of mountain and the sea. The algorithm presented, that is also able to reveal weak correlations, can be used as a starting point for the development of multivariate models of wind.
BIVONA S, BONANNO G, BURLON R, GURRERA D, LEONE C (2008). Taxonomy of correlations of wind velocity;an application to the Sicilian area. PHYSICA. A, 387, 5910-5915.
Taxonomy of correlations of wind velocity;an application to the Sicilian area.
BIVONA, Saverio;BONANNO, Giovanni;BURLON, Riccardo;GURRERA, Davide;LEONE, Claudio
2008-01-01
Abstract
We present an algorithm that allows us to analyze the cross-correlation of wind velocity measured in different locations; this algorithm is applied to 29 recording stations in Sicily. The results show that such correlations present a significant and persistent ultrametric structure that is influenced by the geographical neighborhood as well as by the presence of mountain and the sea. The algorithm presented, that is also able to reveal weak correlations, can be used as a starting point for the development of multivariate models of wind.
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