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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 3 | Copyright
Hydrol. Earth Syst. Sci., 12, 933-941, 2008
https://doi.org/10.5194/hess-12-933-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

  20 Jun 2008

20 Jun 2008

Empirical Mode Decomposition on the sphere: application to the spatial scales of surface temperature variations

N. Fauchereau1, G. G. S. Pegram2, and S. Sinclair2 N. Fauchereau et al.
  • 1Department of Oceanography, University of Cape-Town, Cape Town, South Africa
  • 2Civil Engineering, University of KwaZulu-Natal, Durban, South Africa

Abstract. 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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