Discussion on temperature reconstruction with sediment core data in Ilvonen et al.

Bo Li, Luis Barboza, Martin Tingley, Frederi Viens

Research output: Contribution to journalComment/debate

Abstract

We congratulate the authors on an important contribution to temperature reconstruction methodology applicable to pollen data. Pollen data is more challenging to model than other climate proxies, such as measurements on tree rings, because of the categorical nature of pollen assemblage data and the dating uncertainty inherent to any sedimentary proxy. The authors are commended on developing a reconstruction methodology that incorporates Bchron and Bummer. In this discussion, we discuss several ideas prompted by our reading of this interesting and novel paper.

Original languageEnglish (US)
Pages (from-to)428-430
Number of pages3
JournalEnvironmetrics
Volume27
Issue number7
DOIs
StatePublished - Nov 1 2016

Keywords

  • memory length
  • spatial correlation
  • temperature change

ASJC Scopus subject areas

  • Statistics and Probability
  • Ecological Modeling

Fingerprint Dive into the research topics of 'Discussion on temperature reconstruction with sediment core data in Ilvonen et al.'. Together they form a unique fingerprint.

  • Cite this