Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach

Bibliographic Details
Main Authors: Chuter, Stephen, Rougier, Jonathan, Sha, Zhe, Zammit Mangion, Andrew, Bamber, Jonathan
Format: Conference Object
Language:English
Published: 2018
Subjects:
/dk/atira/pure/core/keywords/globalmass
name=GlobalMass
Greenland
Online Access:https://hdl.handle.net/1983/cbca1bdc-cd01-4230-ae4f-9e6c265c163c
https://research-information.bris.ac.uk/en/publications/cbca1bdc-cd01-4230-ae4f-9e6c265c163c
https://doi.org/10.6084/m9.figshare.7564907.v1
id ftubristolcris:oai:research-information.bris.ac.uk:publications/cbca1bdc-cd01-4230-ae4f-9e6c265c163c
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spelling ftubristolcris:oai:research-information.bris.ac.uk:publications/cbca1bdc-cd01-4230-ae4f-9e6c265c163c 2024-05-19T07:41:01+00:00 Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach Chuter, Stephen Rougier, Jonathan Sha, Zhe Zammit Mangion, Andrew Bamber, Jonathan 2018-12-10 https://hdl.handle.net/1983/cbca1bdc-cd01-4230-ae4f-9e6c265c163c https://research-information.bris.ac.uk/en/publications/cbca1bdc-cd01-4230-ae4f-9e6c265c163c https://doi.org/10.6084/m9.figshare.7564907.v1 eng eng info:eu-repo/grantAgreement/EC/H2020/694188 https://research-information.bris.ac.uk/en/publications/cbca1bdc-cd01-4230-ae4f-9e6c265c163c info:eu-repo/semantics/openAccess Chuter , S , Rougier , J , Sha , Z , Zammit Mangion , A & Bamber , J 2018 , ' Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach ' , AGU Fall Meeting 2018 , Washington, D.C. , United States , 10/12/18 - 14/12/18 . https://doi.org/10.6084/m9.figshare.7564907.v1 /dk/atira/pure/core/keywords/globalmass name=GlobalMass conferenceObject 2018 ftubristolcris https://doi.org/10.6084/m9.figshare.7564907.v1 2024-04-30T23:51:18Z Conference Object Greenland University of Bristol: Bristol Research
institution Open Polar
collection University of Bristol: Bristol Research
op_collection_id ftubristolcris
language English
topic /dk/atira/pure/core/keywords/globalmass
name=GlobalMass
spellingShingle /dk/atira/pure/core/keywords/globalmass
name=GlobalMass
Chuter, Stephen
Rougier, Jonathan
Sha, Zhe
Zammit Mangion, Andrew
Bamber, Jonathan
Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach
topic_facet /dk/atira/pure/core/keywords/globalmass
name=GlobalMass
format Conference Object
author Chuter, Stephen
Rougier, Jonathan
Sha, Zhe
Zammit Mangion, Andrew
Bamber, Jonathan
author_facet Chuter, Stephen
Rougier, Jonathan
Sha, Zhe
Zammit Mangion, Andrew
Bamber, Jonathan
author_sort Chuter, Stephen
title Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach
title_short Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach
title_full Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach
title_fullStr Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach
title_full_unstemmed Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach
title_sort greenland monthly mass trends determined using a bayesian hierarchical modelling approach
publishDate 2018
url https://hdl.handle.net/1983/cbca1bdc-cd01-4230-ae4f-9e6c265c163c
https://research-information.bris.ac.uk/en/publications/cbca1bdc-cd01-4230-ae4f-9e6c265c163c
https://doi.org/10.6084/m9.figshare.7564907.v1
genre Greenland
genre_facet Greenland
op_source Chuter , S , Rougier , J , Sha , Z , Zammit Mangion , A & Bamber , J 2018 , ' Greenland Monthly Mass Trends Determined Using a Bayesian Hierarchical Modelling Approach ' , AGU Fall Meeting 2018 , Washington, D.C. , United States , 10/12/18 - 14/12/18 . https://doi.org/10.6084/m9.figshare.7564907.v1
op_relation info:eu-repo/grantAgreement/EC/H2020/694188
https://research-information.bris.ac.uk/en/publications/cbca1bdc-cd01-4230-ae4f-9e6c265c163c
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.6084/m9.figshare.7564907.v1
_version_ 1799480606173691904

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