Dynamical structure in paleoclimate data
Deterministic chaos in dynamical systems offers a new paradigm for understanding irregular fluctuations. The theory of chaotic dynamical systems includes methods which can test whether any given set of time series data, such as paleoclimate proxy data, are consistent with a deterministic interpretation. Paleoclimate data with annual resolution and absolute dating provide multiple channels of concurrent time series; these multiple time series can be treated as potential phase space coordinates to test whether interannual climate variability is deterministic. Dynamical structure tests which take advantage of such multichannel data are proposed and illustrated by application to a simple synthetic model of chaos, and to two paleoclimate proxy data series.
- Research Organization:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC02-76CH00016
- OSTI ID:
- 109444
- Report Number(s):
- BNL-62058; CONF-9404283-1; ON: DE95016507
- Resource Relation:
- Conference: PACLIM workshop, Pacific Grove, CA (United States), 19-22 Apr 1994; Other Information: PBD: 1 Dec 1994
- Country of Publication:
- United States
- Language:
- English
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