On the elimination of Bias Averaging-Errors in proxy records
Knowledge of and insight into past environmental conditions can be obtained by processing and analyzing proxies. The proxies need to be processed as precisely and accurately as possible, otherwise the conclusion of the analysis will be biased. A calibration method which reduces bias errors in the pr...
Published in: | Mathematical Geosciences |
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2009
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ftopenagrar:oai:www.openagrar.de:openagrar_mods_00025227 2023-05-15T14:03:51+02:00 On the elimination of Bias Averaging-Errors in proxy records Beelaerts, Veerle De Ridder, Fjo Schmitz, Nele Bauwens, Maite Dehairs, Frank Schoukens, Johan Pintelon, Rik 2009 https://doi.org/10.1007/s11004-008-9193-1 https://www.openagrar.de/receive/openagrar_mods_00025227 eng eng Mathematical geosciences : the official journal of the International Association for Mathematical Geosciences -- Math. Geosci. -- 1874-8961 -- 2414226-8 https://doi.org/10.1007/s11004-008-9193-1 https://www.openagrar.de/receive/openagrar_mods_00025227 only signed in user all rights reserved info:eu-repo/semantics/restrictedAccess Text ddc:580 averaging -- signal processing -- calibration -- environmental proxies article Text 2009 ftopenagrar https://doi.org/10.1007/s11004-008-9193-1 2023-03-06T00:13:00Z Knowledge of and insight into past environmental conditions can be obtained by processing and analyzing proxies. The proxies need to be processed as precisely and accurately as possible, otherwise the conclusion of the analysis will be biased. A calibration method which reduces bias errors in the proxy measurements due to averaging is presented. Sampling with nonzero sample sizes causes an averaging of the true proxy signal over the volume of the sample. The method is applied on a linear synthetic record which results in an optimal correction for frequency components ranging from the dc-frequency (DC) to one half of the sample frequency (fs/2). Next, the method is tested on non-linear synthetic data where the signal is reconstructed reasonably well. Finally, the method is applied to a real vessel density record of R.mucronata from Makongeni, Kenya, and to a real delta deuterium record of ice core EDC from dome C, Antarctica. The method discussed in this paper is a valuable tool for the calibration of proxy measurements; it can be applied as a correction for low resolution measurements and expanded to other types of samples and proxies. Working with small sample sizes (high resolution) amounts to working near the detection limit, where the signal-to-noise-ratio is low. This correction method provides an alternative in which low resolution measurements can be upgraded to minimize the loss of information due to larger sample sizes. Article in Journal/Newspaper Antarc* Antarctica ice core OpenAgrar (OA) Mathematical Geosciences 41 2 129 144 |
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Open Polar |
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language |
English |
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Text ddc:580 averaging -- signal processing -- calibration -- environmental proxies |
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Text ddc:580 averaging -- signal processing -- calibration -- environmental proxies Beelaerts, Veerle De Ridder, Fjo Schmitz, Nele Bauwens, Maite Dehairs, Frank Schoukens, Johan Pintelon, Rik On the elimination of Bias Averaging-Errors in proxy records |
topic_facet |
Text ddc:580 averaging -- signal processing -- calibration -- environmental proxies |
description |
Knowledge of and insight into past environmental conditions can be obtained by processing and analyzing proxies. The proxies need to be processed as precisely and accurately as possible, otherwise the conclusion of the analysis will be biased. A calibration method which reduces bias errors in the proxy measurements due to averaging is presented. Sampling with nonzero sample sizes causes an averaging of the true proxy signal over the volume of the sample. The method is applied on a linear synthetic record which results in an optimal correction for frequency components ranging from the dc-frequency (DC) to one half of the sample frequency (fs/2). Next, the method is tested on non-linear synthetic data where the signal is reconstructed reasonably well. Finally, the method is applied to a real vessel density record of R.mucronata from Makongeni, Kenya, and to a real delta deuterium record of ice core EDC from dome C, Antarctica. The method discussed in this paper is a valuable tool for the calibration of proxy measurements; it can be applied as a correction for low resolution measurements and expanded to other types of samples and proxies. Working with small sample sizes (high resolution) amounts to working near the detection limit, where the signal-to-noise-ratio is low. This correction method provides an alternative in which low resolution measurements can be upgraded to minimize the loss of information due to larger sample sizes. |
format |
Article in Journal/Newspaper |
author |
Beelaerts, Veerle De Ridder, Fjo Schmitz, Nele Bauwens, Maite Dehairs, Frank Schoukens, Johan Pintelon, Rik |
author_facet |
Beelaerts, Veerle De Ridder, Fjo Schmitz, Nele Bauwens, Maite Dehairs, Frank Schoukens, Johan Pintelon, Rik |
author_sort |
Beelaerts, Veerle |
title |
On the elimination of Bias Averaging-Errors in proxy records |
title_short |
On the elimination of Bias Averaging-Errors in proxy records |
title_full |
On the elimination of Bias Averaging-Errors in proxy records |
title_fullStr |
On the elimination of Bias Averaging-Errors in proxy records |
title_full_unstemmed |
On the elimination of Bias Averaging-Errors in proxy records |
title_sort |
on the elimination of bias averaging-errors in proxy records |
publishDate |
2009 |
url |
https://doi.org/10.1007/s11004-008-9193-1 https://www.openagrar.de/receive/openagrar_mods_00025227 |
genre |
Antarc* Antarctica ice core |
genre_facet |
Antarc* Antarctica ice core |
op_relation |
Mathematical geosciences : the official journal of the International Association for Mathematical Geosciences -- Math. Geosci. -- 1874-8961 -- 2414226-8 https://doi.org/10.1007/s11004-008-9193-1 https://www.openagrar.de/receive/openagrar_mods_00025227 |
op_rights |
only signed in user all rights reserved info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1007/s11004-008-9193-1 |
container_title |
Mathematical Geosciences |
container_volume |
41 |
container_issue |
2 |
container_start_page |
129 |
op_container_end_page |
144 |
_version_ |
1766274703738011648 |