Vote for your favorite mineral in #MinCup25! - Zunyite vs. Molybdenite
It's the visually-unmistakable #zunyite vs the physically funky #molybdenite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Hopcroft, Peter O., Gallagher, Kerry, Pain, Christopher C. (2009) A Bayesian partition modelling approach to resolve spatial variability in climate records from borehole temperature inversion. Geophysical Journal International, 178 (2) 651-666 doi:10.1111/j.1365-246x.2009.04192.x

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA Bayesian partition modelling approach to resolve spatial variability in climate records from borehole temperature inversion
JournalGeophysical Journal International
AuthorsHopcroft, Peter O.Author
Gallagher, KerryAuthor
Pain, Christopher C.Author
Year2009 (August)Volume178
Issue2
PublisherOxford University Press (OUP)
DOIdoi:10.1111/j.1365-246x.2009.04192.xSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID885791Long-form Identifiermindat:1:5:885791:4
GUID0
Full ReferenceHopcroft, Peter O., Gallagher, Kerry, Pain, Christopher C. (2009) A Bayesian partition modelling approach to resolve spatial variability in climate records from borehole temperature inversion. Geophysical Journal International, 178 (2) 651-666 doi:10.1111/j.1365-246x.2009.04192.x
Plain TextHopcroft, Peter O., Gallagher, Kerry, Pain, Christopher C. (2009) A Bayesian partition modelling approach to resolve spatial variability in climate records from borehole temperature inversion. Geophysical Journal International, 178 (2) 651-666 doi:10.1111/j.1365-246x.2009.04192.x
In(2009, August) Geophysical Journal International Vol. 178 (2) Oxford University Press (OUP)

See Also

These are possibly similar items as determined by title/reference text matching only.

Hopcroft, Peter O., Gallagher, Kerry, Pain, Chris C. (2007) Inference of past climate from borehole temperature data using Bayesian Reversible Jump Markov chain Monte Carlo. Geophysical Journal International, 171 (3) 1430-1439 doi:10.1111/j.1365-246x.2007.03596.x
Hopcroft, Peter O., Gallagher, Kerry, Pain, Christopher C., Fang, Fangxin (2009) Three-dimensional simulation and inversion of borehole temperatures for reconstructing past climate in complex settings. Journal of Geophysical Research, 114. doi:10.1029/2008jf001165
Charvin, Karl, Hampson, Gary J., Gallagher, Kerry, Labourdette, Richard (2009) A Bayesian approach to inverse modelling of stratigraphy, part 2: Validation tests. Basin Research, 21 (1). 27-45 doi:10.1111/j.1365-2117.2008.00370.x
Wilhelm, H. (1990) A new approach to the borehole temperature relaxation method. Geophysical Journal International, 103 (2) 469-481 doi:10.1111/j.1365-246x.1990.tb01785.x
Parolai, S., Wang, R., Bindi, D. (2012) Inversion of borehole weak motion records observed in Istanbul (Turkey) Geophysical Journal International, 188 (2) 535-548 doi:10.1111/j.1365-246x.2011.05252.x
Hopcroft, Peter O., Gallagher, Kerry (2023) Global Variability in Multi‐Century Ground Warming Inferred From Geothermal Data. Geophysical Research Letters, 50 (13) doi:10.1029/2023gl104631
Kotsakis, Christopher (2007) A covariance-adaptive approach for regularized inversion in linear models. Geophysical Journal International, 171 (2) 509-522 doi:10.1111/j.1365-246x.2007.03534.x
(2009) Corrigendum. Geophysical Journal International, 177 (2) 651-652 doi:10.1111/j.1365-246x.2009.04051.x
Gallagher, Kerry, Sambridge, Malcolm (1992) The resolution of past heat flow in sedimentary basins from non-linear inversion of geochemical data: the smoothest model approach, with synthetic examples. Geophysical Journal International, 109 (1) 78-95 doi:10.1111/j.1365-246x.1992.tb00080.x
Charvin, Karl, Gallagher, Kerry, Hampson, Gary L., Labourdette, Richard (2009) A Bayesian approach to inverse modelling of stratigraphy, part 1: method. Basin Research, 21 (1). 5-25 doi:10.1111/j.1365-2117.2008.00369.x
Woodruff, W. F., Revil, A., Jardani, A., Nummedal, D., Cumella, S. (2010) Stochastic Bayesian inversion of borehole self-potential measurements. Geophysical Journal International, 183 (2) 748-764 doi:10.1111/j.1365-246x.2010.04770.x
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 12, 2025 01:12:46
Go to top of page