Status: this preprint has been withdrawn by the authors.
Identification of the accretion rate for annually resolved archives
F. De Ridder,A. de Brauwere,R. Pintelon,J. Schoukens,and F. Dehairs
Abstract. The past environment is often reconstructed by measuring a given proxy (e.g. δ18O) in an environmental archive, i.e. a species which gradually accumulates mass and records the current environment during this mass formation (e.g. corals, shells, trees, etc...). When such an environmental proxy is measured, its values are known as a function of distance. However, to relate the data to environmental variations, the date associated with each measurement, i.e. the time base, should be known. This is not straightforward solved, since species usually do not grow at constant rates. In this paper, we investigate this problem for annually resolved archives, which exhibit a certain periodicity. Such signals are often found in clams or corals. Due to variations in accretion rate the data along the distance axis have a disturbed periodic profile. A method is developed to extract information about the accretion rate, such that the original (periodic) signal as function of time can be recovered. Simultaneously the exact shape of the periodic signal is estimated. The final methodology is quasi-independent of choices made by the investigator. Every step in the procedure is described in detail and finally, the method is exemplified on a real world example.
This preprint has been withdrawn.
Received: 22 Nov 2005 – Discussion started: 10 Apr 2006
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
F. De Ridder,A. de Brauwere,R. Pintelon,J. Schoukens,and F. Dehairs
F. De Ridder,A. de Brauwere,R. Pintelon,J. Schoukens,and F. Dehairs
Viewed
Total article views: 1,115 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
707
321
87
1,115
56
51
HTML: 707
PDF: 321
XML: 87
Total: 1,115
BibTeX: 56
EndNote: 51
Views and downloads (calculated since 01 Feb 2013)
Cumulative views and downloads
(calculated since 01 Feb 2013)
Saved
Latest update: 13 Dec 2024
F. De Ridder
Department of Fundamental Electricity and Instrumentation, Team B: System Identification and Parameter Estimation, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
Department of Environmental and Analytical Chemistry, Vrije Universiteit Brussel, Brussels, Belgium
A. de Brauwere
Department of Environmental and Analytical Chemistry, Vrije Universiteit Brussel, Brussels, Belgium
R. Pintelon
Department of Fundamental Electricity and Instrumentation, Team B: System Identification and Parameter Estimation, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
J. Schoukens
Department of Fundamental Electricity and Instrumentation, Team B: System Identification and Parameter Estimation, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
F. Dehairs
Department of Environmental and Analytical Chemistry, Vrije Universiteit Brussel, Brussels, Belgium