 |
| Titel |
Characterisation of long-term climate change by dimension estimates of multivariate palaeoclimatic proxy data |
| VerfasserIn |
R. Donner, A. Witt |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1023-5809
|
| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 13, no. 5 ; Nr. 13, no. 5 (2006-09-21), S.485-497 |
| Datensatznummer |
250011836
|
| Publikation (Nr.) |
 copernicus.org/npg-13-485-2006.pdf |
|
|
|
|
|
| Zusammenfassung |
| The problem of extracting climatically relevant information from multivariate
geological records is tackled by characterising the eigenvalues of the
temporarily varying correlation matrix. From these eigenvalues, a
quantitative measure, the linear variance decay (LVD) dimension density, is
derived. The LVD dimension density is shown to serve as a suitable estimate
of the fractal dimension density. Its performance is evaluated by testing it
for (i) systems with independent components and for (ii) subsystems of
spatially extended linearly correlated systems.
The LVD dimension density is applied to characterise two geological records
which contain information about climate variability during the Oligocene and
Miocene. These records consist of (a) abundances of different chemical trace
elements and (b) grain-size distributions obtained from sediment cores
offshore the East Antarctic coast. The presented analysis provides evidence
that the major climate change associated with the Oligocene-Miocene transition
is reflected in significant changes of the LVD dimension density. This is
interpreted as a change of the interrelationships between different trace
elements in the sediment and to a change of the provenance area of the
deposited sediment. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|