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原文連結
論文資訊
- 類型：已發表論文
- 日期：2019
摘要
Per突變 熵 techniques can be useful for identifying anomalies in paleo氣候 data records, including noise, outliers, and post-processing issues. We demonstrate this using weighted and unweighted per突變 熵 with water-isotope records containing data from a deep polar ice core. In one region of these isotope records, our previous calculations (See Garland et al. 2018) revealed an abrupt change in the complexity of the traces: specifically, in the amount of new 資訊 that appeared at every time step. We conjectured that this effect was due to noise introduced by an older laboratory instrument. In this paper, we validate that conjecture by reanalyzing a section of the ice core using a more advanced version of the laboratory instrument. The anomalous noise levels are absent from the per突變 熵 traces of the n
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