Anomaly Detection in Paleoclimate Records Using Permutation Entropy

Permutation entropy techniques can be useful for identifying anomalies in paleoclimate data records, including noise, outliers, and post-processing issues. We demonstrate this using weighted and unweighted permutation entropy with water-isotope records containing data from a deep polar ice core. In...

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書誌詳細

主要な著者:	Joshua Garland, Tyler R. Jones, Michael Neuder, Valerie Morris, James W. C. White, Elizabeth Bradley
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2018-12-01
シリーズ:	Entropy
主題:	paleoclimate permutation entropy ice core anomaly detection
オンライン･アクセス:	https://www.mdpi.com/1099-4300/20/12/931
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