A Bayesian hierarchical model for reconstructing relative sea level: from raw data to rates of change
We present a Bayesian hierarchical model for reconstructing the continuous and dynamic evolution of relative sea-level (RSL) change with quantified uncertainty. The reconstruction is produced from biological (foraminifera) and geochemical (δ13C) sea-level indicators preserved in dated cores of salt-...
主要な著者: | , , , |
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その他の著者: | |
フォーマット: | Journal Article |
言語: | English |
出版事項: |
2018
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主題: | |
オンライン・アクセス: | https://hdl.handle.net/10356/88094 http://hdl.handle.net/10220/46894 |