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Calibrating biogeochemical and physical climate proxies from non-varved lake sediments with meteorological data: methods and case studies

von Gunten, Lucien ; Grosjean, Martin ; Kamenik, Christian ; Fujak, Marian ; Urrutia, Roberto

In: Journal of Paleolimnology, 2012, vol. 47, no. 4, p. 583-600

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    Titre
    • Calibrating biogeochemical and physical climate proxies from non-varved lake sediments with meteorological data: methods and case studies
    Auteur
    • von Gunten, Lucien. Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
    • Grosjean, Martin. Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
    • Kamenik, Christian. Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
    • Fujak, Marian. Surface Waters Research, EAWAG, Dübendorf, Switzerland
    • Urrutia, Roberto. Centro de Ciencias Ambientales EULA-Chile, Universidad de Concepción, Concepción, Chile
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • Journal of Paleolimnology, 2012, vol. 47, no. 4, p. 583-600. Springer Netherlands
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:315504
    Summary
    Lake sediment records are underrepresented in comprehensive, quantitative, high-resolution (sub-decadal), multi-proxy climate reconstructions for the past millennium. This is largely a consequence of the difficulty of calibrating biogeochemical lake sediment proxies to meteorological time series (calibration-in-time). Thanks to recent methodological advances, it is now possible. This paper outlines a step-by-step, specifically tailored methodology, with practical suggestions for calibrating and validating biogeochemical proxies from lake sediments to meteorological data. This approach includes: (1) regional climate data; (2) site selection; (3) coring and core selection; (4) core chronology; (5) data acquisition; and (6) data analysis and statistical methods. We present three case studies that used non-varved lake sediments from remote areas in the Central Chilean Andes, where little a priori information was available on the local climate and lakes, or their responses to climate variability. These case studies illustrate the potential value and application of a calibration-in-time approach to non-varved lake sediments for developing quantitative, high-resolution climate reconstructions