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| Titel |
Clifford algebra-based structure filtering analysis for geophysical vector fields |
| VerfasserIn |
Z. Yu, W. Luo, L. Yi, Y. Hu, L. Yuan |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 20, no. 4 ; Nr. 20, no. 4 (2013-07-31), S.563-570 |
| Datensatznummer |
250018991
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| Publikation (Nr.) |
 copernicus.org/npg-20-563-2013.pdf |
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| Zusammenfassung |
| A new Clifford algebra-based vector field filtering method, which combines
amplitude similarity and direction difference synchronously, is proposed.
Firstly, a modified correlation product is defined by combining the amplitude
similarity and direction difference. Then, a structure filtering algorithm is
constructed based on the modified correlation product. With custom template
and thresholds applied to the modulus and directional fields independently,
our approach can reveal not only the modulus similarities but also the
classification of the angular distribution. Experiments on exploring the
tempo-spatial evolution of the 2002–2003 El Niño from the global wind data
field are used to test the algorithm. The results suggest that both the
modulus similarity and directional information given by our approach can
reveal the different stages and dominate factors of the process of the El
Niño evolution. Additional information such as the directional stability of
the El Niño can also be extracted. All the above suggest our method can
provide a new powerful and applicable tool for geophysical vector field
analysis. |
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