A Bayesian partition modelling approach to resolve spatial variability in climate records from borehole temperature inversion

Peter O. Hopcroft; Kerry Gallagher; Christopher C. Pain

doi:10.1111/j.1365-246X.2009.04192.x

A Bayesian partition modelling approach to resolve spatial variability in climate records from borehole temperature inversion

Peter O. Hopcroft, Kerry Gallagher, Christopher C. Pain

Geography

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Original language	Undefined/Unknown
Journal	Geophysical Journal International
DOIs	https://doi.org/10.1111/j.1365-246X.2009.04192.x
Publication status	Published - 2009

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10.1111/j.1365-246X.2009.04192.x

Cite this

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title = "A Bayesian partition modelling approach to resolve spatial variability in climate records from borehole temperature inversion",

author = "Hopcroft, {Peter O.} and Kerry Gallagher and Pain, {Christopher C.}",

year = "2009",

doi = "10.1111/j.1365-246X.2009.04192.x",

language = "Undefined/Unknown",

journal = "Geophysical Journal International",

issn = "0956-540X",

publisher = "Oxford University Press",

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AU - Hopcroft, Peter O.

AU - Gallagher, Kerry

AU - Pain, Christopher C.

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DO - 10.1111/j.1365-246X.2009.04192.x

M3 - Article

JO - Geophysical Journal International

JF - Geophysical Journal International

SN - 0956-540X

ER -