Empirical Mode Decomposition in 2-D space and time: a tool for space-time rainfall analysis and nowcasting
By S. Sinclair, G. Pegram. 2005
83 citations recorded by the source corpus.
A data-driven method for extracting temporally persistent information, at different spatial scales, from rain- fall data (as measured by radar/satellite) is described, which extends the Empirical Mode Decomposition (EMD) algo- rithm into two dimensions. The EMD technique is used here to decompose spatial rainfall data into a sequence of high through to low frequency components. This process is equiv- alent to the application of successive low-pass spatial filters, but based on the observed properties of the data rather than the predetermined basis functions used in traditional Fourier or Wavelet decompositions. It has been suggested in the liter- ature that the lower frequency components (those with large spatial extent) of spatial rainfall data exhibit greater tempo- ral persistence than the higher frequency ones. This idea is explored here in the context of Empirical Mode Decompo- sition. The paper focuses on the implementation and devel- opment of the two-dimensional extension to the EMD algo- rithm and it's application to radar rainfall data, as well as examining temporal persistence in the data at different spa- tial scales.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/2332cd2105fe5372a59faa5b0cba07d9c4d1f11c
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In Atmospheric Science
In Global and Planetary Change
- Islam Molla
- Md Khademul
- Thomas Aquinas McMahon
- M. Peel
- G. Pegram
- András Bárdossy
- Demetris Koutsoyiannis
Citations in the corpus
- Empirical mode decomposition using rational splines: an application to rainfall time series (2008, methodology): “This two-stage process has become known as the Hilbert–Huang transform (HHT) and is being increasingly used across a range of fields, including hydrology and climatology (Gloersen & Huang 2003; Sinclair & Pegram 2005; Peel & McMahon 2006; Fauchereau et al. 2008).”
- Empirical mode decomposition analysis of climate changes with special reference to rainfall data (2006, methodology): “EMPIRICAL MODE DECOMPOSITION ANALYSIS OF CLIMATE CHANGES WITH SPECIAL REFERENCE”