Inferring spatial climatic trends from borehole data using a Bayesian partition model - INSU - Institut national des sciences de l'Univers Access content directly
Conference Papers Year : 2008

Inferring spatial climatic trends from borehole data using a Bayesian partition model

Peter-O. Hopcroft
  • Function : Author
Kerry Gallagher
Géosciences Rennes
Chris-C. Pain
  • Function : Author

Domains

Climatology Geochemistry

Isabelle Dubigeon  : Connect in order to contact the contributor

https://hal-insu.archives-ouvertes.fr/insu-00280865

Submitted on : Tuesday, May 20, 2008-9:29:00 AM

Last modification on : Friday, March 24, 2023-2:52:50 PM

Not file

Dates and versions

insu-00280865 , version 1 (20-05-2008)

Identifiers

  • HAL Id : insu-00280865 , version 1

Cite

Peter-O. Hopcroft, Kerry Gallagher, Chris-C. Pain. Inferring spatial climatic trends from borehole data using a Bayesian partition model. European Geosciences Union General Assembly 2008, Apr 2008, Vienne, Austria. pp.A-10017. ⟨insu-00280865⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

INSU UNIV-RENNES1 CNRS GR OSUR UNIV-RENNES UR1-ENV GR-DEMO
47 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More