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| Titel |
Observing extreme events in incomplete state spaces with application to rainfall estimation from satellite images |
| VerfasserIn |
A. A. Tsonis  , K. P. Georgakakos |
| 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 ; 12, no. 2 ; Nr. 12, no. 2 (2005-02-02), S.195-200 |
| Datensatznummer |
250010482
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| Publikation (Nr.) |
 copernicus.org/npg-12-195-2005.pdf |
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| Zusammenfassung |
| Reconstructing the dynamics of nonlinear systems from observations requires
the complete knowledge of its state space. In most cases, this is either
impossible or at best very difficult. Here, by using a toy model, we
investigate the possibility of deriving useful insights about the
variability of the system from only a part of the complete state vector. We
show that while some of the details of the variability might be lost, other
details, especially extreme events, are successfully recovered. We then
apply these ideas to the problem of rainfall estimation from satellite
imagery. We show that, while reducing the number of observables reduces the
correlation between actual and inferred precipitation amounts, good
estimates for extreme events are still recoverable. |
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