A Bayesian multinomial regression model for palaeoclimate reconstruction with time uncertainty

Liisa Ilvonen, Lasse Holmström, Heikki Seppä, Siim Veski

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Estimating chronological uncertainty is a critical but often neglected prerequisite in palaeoclimatological reconstructions and core comparisons. We describe a hierarchical Bayesian multinomial regression model for temperature reconstruction
that allows uncertainty in the sediment core sample dates. Climate model output is used as pseudodata to provide prior information about the overall variability of past temperatures. Including time uncertainty in the model can make usual
summaries such as the posterior mean temperature less useful.We therefore recommend considering also fixed chronology reconstructions and exploration of individual temperature history realizations. This can be particularly relevant for tracking
short-lived events.We demonstrate the proposed model by reconstructing the past temperature from fossil pollen data obtained from three cores in Estonia and southern Sweden.
Original languageEnglish
JournalEnvironmetrics
Volume27
Issue number7
Pages (from-to)409-422
Number of pages14
ISSN1180-4009
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 1171 Geosciences
  • 1172 Environmental sciences

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