Improved age modelling approaches as exemplified by the revised chronology for the Central European varved lake Soppensee
Improved age modelling approaches as exemplified by the revised chronology for the Central European varved lake Soppensee
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DOI：
10.1016/j.quascirev.2007.01.018
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发表时间：
2008-01-01
影响因子：
4
通讯作者：
Lotter, A. F.
中科院分区：
文献类型：
--
作者：
Blockley, S. P. E.;Ramsey, C. Bronk;Lotter, A. F.
了解过去气候变化的关键因素之一是开发强大的年龄模型，该模型具有足够的时间精度，可以比较不同的古气候档案，同时保持准确性。贝叶斯年龄模型的最新发展应用于瑞士索彭湖 (Soppensee) 瓦尔沃湖 (varve Lake)。我们使用可用的地层信息来约束校准的放射性碳年龄，为此序列开发了修订的年龄模型。我们首先使用地层顺序作为唯一的约束，然后使用相对年龄、样本深度和不同的沉积模型，依次增加纳入模型的信息。在这个贝叶斯框架内，我们开发了内部稳健的模型，可以显着提高约会精度，并且适用于 varved 和非 varved 序列。然后，我们将模型输出与更广泛的时间顺序信息（例如 Laacher See Tephra 的年龄）进行比较，以测试模型的准确性。这项练习的结果表明，这些方法可用于在各种记录中构建非常可靠的改进年龄模型。 (C) 2007 Elsevier Ltd. 保留所有权利。
One of the key factors in understanding past climate change is the development of robust age models that have sufficient chronological precision for comparing different palaeoclimate archives, while retaining accuracy. Recent developments in Bayesian age modelling are applied here to the Swiss varve lake, Soppensee. We develop revised age models for this sequence using the available stratigraphic information to constrain the calibrated radiocarbon ages. We begin by using stratigraphical order as the only constraint and then sequentially increase the information incorporated into the model, using relative varve age, sample depth, and varying depositional models. Within this Bayesian framework, we develop internally robust models that significantly improve the dating precision and are applicable to both varved and non-varved sequences. We then compare the model output to wider chronological information, such as the age of the Laacher See Tephra in order to test the model accuracy. The results of this exercise suggest that these methods can be used to build very reliable improved age models in a variety of records. (C) 2007 Elsevier Ltd. All rights reserved.