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  A complete representation of uncertainties in layer-counted paleoclimatic archives

Boers, N., Goswami, B., Ghil, M. (2017): A complete representation of uncertainties in layer-counted paleoclimatic archives. - Climate of the Past, 13, 9, 1169-1180.
https://doi.org/10.5194/cp-13-1169-2017

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Boers, Niklas1, Autor              
Goswami, B.2, Autor
Ghil, M.2, Autor
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Zusammenfassung: Accurate time series representation of paleoclimatic proxy records is challenging because such records involve dating errors in addition to proxy measurement errors. Rigorous attention is rarely given to age uncertainties in paleoclimatic research, although the latter can severely bias the results of proxy record analysis. Here, we introduce a Bayesian approach to represent layer-counted proxy records – such as ice cores, sediments, corals, or tree rings – as sequences of probability distributions on absolute, error-free time axes. The method accounts for both proxy measurement errors and uncertainties arising from layer-counting-based dating of the records. An application to oxygen isotope ratios from the North Greenland Ice Core Project (NGRIP) record reveals that the counting errors, although seemingly small, lead to substantial uncertainties in the final representation of the oxygen isotope ratios. In particular, for the older parts of the NGRIP record, our results show that the total uncertainty originating from dating errors has been seriously underestimated. Our method is next applied to deriving the overall uncertainties of the Suigetsu radiocarbon comparison curve, which was recently obtained from varved sediment cores at Lake Suigetsu, Japan. This curve provides the only terrestrial radiocarbon comparison for the time interval 12.5–52.8 kyr BP. The uncertainties derived here can be readily employed to obtain complete error estimates for arbitrary radiometrically dated proxy records of this recent part of the last glacial interval.

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 Datum: 2017
 Publikationsstatus: Final veröffentlicht
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.5194/cp-13-1169-2017
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7958
Research topic keyword: Paleoclimate
Research topic keyword: Nonlinear Dynamics
Model / method: Machine Learning
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
Organisational keyword: FutureLab - Artificial Intelligence in the Anthropocene
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events
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Titel: Climate of the Past
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 13 (9) Artikelnummer: - Start- / Endseite: 1169 - 1180 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals78