A Bayesian hierarchical spatio-temporal model for significant wave height in the North Atlantic

Bibliographic Details
Published in:Stochastic Environmental Research and Risk Assessment
Main Authors: Vanem, Erik, Huseby, Arne Bang, Natvig, Bent
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2011
Subjects:
General Environmental Science
Safety, Risk, Reliability and Quality
Water Science and Technology
Environmental Chemistry
Environmental Engineering
North Atlantic
Online Access:http://dx.doi.org/10.1007/s00477-011-0522-4
http://link.springer.com/content/pdf/10.1007/s00477-011-0522-4.pdf
http://link.springer.com/article/10.1007/s00477-011-0522-4/fulltext.html
http://link.springer.com/content/pdf/10.1007/s00477-011-0522-4
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spelling crspringernat:10.1007/s00477-011-0522-4 2023-05-15T17:27:47+02:00 A Bayesian hierarchical spatio-temporal model for significant wave height in the North Atlantic Vanem, Erik Huseby, Arne Bang Natvig, Bent 2011 http://dx.doi.org/10.1007/s00477-011-0522-4 http://link.springer.com/content/pdf/10.1007/s00477-011-0522-4.pdf http://link.springer.com/article/10.1007/s00477-011-0522-4/fulltext.html http://link.springer.com/content/pdf/10.1007/s00477-011-0522-4 en eng Springer Science and Business Media LLC http://www.springer.com/tdm Stochastic Environmental Research and Risk Assessment volume 26, issue 5, page 609-632 ISSN 1436-3240 1436-3259 General Environmental Science Safety, Risk, Reliability and Quality Water Science and Technology Environmental Chemistry Environmental Engineering journal-article 2011 crspringernat https://doi.org/10.1007/s00477-011-0522-4 2022-01-04T15:14:40Z Article in Journal/Newspaper North Atlantic Springer Nature (via Crossref) Stochastic Environmental Research and Risk Assessment 26 5 609 632
institution Open Polar
collection Springer Nature (via Crossref)
op_collection_id crspringernat
language English
topic General Environmental Science
Safety, Risk, Reliability and Quality
Water Science and Technology
Environmental Chemistry
Environmental Engineering
spellingShingle General Environmental Science
Safety, Risk, Reliability and Quality
Water Science and Technology
Environmental Chemistry
Environmental Engineering
Vanem, Erik
Huseby, Arne Bang
Natvig, Bent
A Bayesian hierarchical spatio-temporal model for significant wave height in the North Atlantic
topic_facet General Environmental Science
Safety, Risk, Reliability and Quality
Water Science and Technology
Environmental Chemistry
Environmental Engineering
format Article in Journal/Newspaper
author Vanem, Erik
Huseby, Arne Bang
Natvig, Bent
author_facet Vanem, Erik
Huseby, Arne Bang
Natvig, Bent
author_sort Vanem, Erik
title A Bayesian hierarchical spatio-temporal model for significant wave height in the North Atlantic
title_short A Bayesian hierarchical spatio-temporal model for significant wave height in the North Atlantic
title_full A Bayesian hierarchical spatio-temporal model for significant wave height in the North Atlantic
title_fullStr A Bayesian hierarchical spatio-temporal model for significant wave height in the North Atlantic
title_full_unstemmed A Bayesian hierarchical spatio-temporal model for significant wave height in the North Atlantic
title_sort bayesian hierarchical spatio-temporal model for significant wave height in the north atlantic
publisher Springer Science and Business Media LLC
publishDate 2011
url http://dx.doi.org/10.1007/s00477-011-0522-4
http://link.springer.com/content/pdf/10.1007/s00477-011-0522-4.pdf
http://link.springer.com/article/10.1007/s00477-011-0522-4/fulltext.html
http://link.springer.com/content/pdf/10.1007/s00477-011-0522-4
genre North Atlantic
genre_facet North Atlantic
op_source Stochastic Environmental Research and Risk Assessment
volume 26, issue 5, page 609-632
ISSN 1436-3240 1436-3259
op_rights http://www.springer.com/tdm
op_doi https://doi.org/10.1007/s00477-011-0522-4
container_title Stochastic Environmental Research and Risk Assessment
container_volume 26
container_issue 5
container_start_page 609
op_container_end_page 632
_version_ 1766120079657795584

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