Abstract
The atmosphere displays linked spatial/temporal variability over wide ranges in scale. In this paper we study the scaling behaviour of the fluctuations. These properties are characterized by spectral exponents, and the extreme fluctuations by exponents of the corresponding probability distributions. Using both temperature and rain rate data from climatologically representative locations, we find very similar behaviour including relatively small dispersions in the estimated exponents. We also show that the effect of spatial averaging is primarily to reduce the amplitudes of both the fluctuations and their spectra by constant factors, a behaviour which is consistent with global space/time scaling. Finally we argue that these non-standard statistical procedures may be indispensable in taming extremely variable climatic and meteorological data.
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© 1991 Kluwer Academic Publishers
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Ladoy, P., Lovejoy, S., Schertzer, D. (1991). Extreme Variability of Climatological Data: Scaling and Intermittency. In: Schertzer, D., Lovejoy, S. (eds) Non-Linear Variability in Geophysics. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2147-4_17
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DOI: https://doi.org/10.1007/978-94-009-2147-4_17
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-7466-7
Online ISBN: 978-94-009-2147-4
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