A Bayesian Partition Modelling approach to resolve spatial variability in climate records from borehole temperature inversion

PO Hopcroft, K. Gallagher, C.C. Pain

Research output: Contribution to journal › Article (Academic Journal) › peer-review

25 Citations (Scopus)

Translated title of the contribution	A Bayesian Partition Modelling approach to resolve spatial variability in climate records from borehole temperature inversion
Original language	English
Pages (from-to)	651 - 666
Number of pages	16
Journal	Geophysical Journal International
Volume	178(2)
DOIs	https://doi.org/10.1111/j.1365-246X.2009.04192.x
Publication status	Published - Aug 2009

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

author = "PO Hopcroft and K. Gallagher and C.C. Pain",

year = "2009",

month = aug,

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

language = "English",

volume = "178(2)",

pages = "651 -- 666",

journal = "Geophysical Journal International",

issn = "1365-246X",

publisher = "Oxford University Press",

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TY - JOUR

T1 - A Bayesian Partition Modelling approach to resolve spatial variability in climate records from borehole temperature inversion

AU - Hopcroft, PO

AU - Gallagher, K.

AU - Pain, C.C.

PY - 2009/8

Y1 - 2009/8

U2 - 10.1111/j.1365-246X.2009.04192.x

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

M3 - Article (Academic Journal)

SN - 1365-246X

VL - 178(2)

SP - 651

EP - 666

JO - Geophysical Journal International

JF - Geophysical Journal International

ER -