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| Titel |
Empirical Mode Decomposition on the sphere: application to the spatial scales of surface temperature variations |
| VerfasserIn |
N. Fauchereau, G. G. S. Pegram, S. Sinclair |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 12, no. 3 ; Nr. 12, no. 3 (2008-06-20), S.933-941 |
| Datensatznummer |
250010666
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| Publikation (Nr.) |
 copernicus.org/hess-12-933-2008.pdf |
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| Zusammenfassung |
| Empirical Mode Decomposition (EMD) is applied here in two dimensions
over the sphere to demonstrate its potential as a data-adaptive
method of separating the different scales of spatial variability in
a geophysical (climatological/meteorological) field. After a brief
description of the basics of the EMD in 1 then 2 dimensions, the
principles of its application on the sphere are explained, in
particular via the use of a zonal equal area partitioning. EMD is
first applied to an artificial dataset, demonstrating its capability
in extracting the different (known) scales embedded in the field.
The decomposition is then applied to a global mean surface
temperature dataset, and we show qualitatively that it extracts
successively larger scales of temperature variations related, for
example, to topographic and large-scale, solar radiation forcing. We
propose that EMD can be used as a global data-adaptive filter,
which will be useful in analysing geophysical phenomena that arise
as the result of forcings at multiple spatial scales. |
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