Bayesian inference of spatio-temporal changes of arctic sea ice
© 2020 International Society for Bayesian Analysis. Arctic sea ice extent has drawn increasing interest and alarm from geoscientists, owing to its rapid decline. In this article, we propose a Bayesian spatio-temporal hierarchical statistical model for binary Arctic sea ice data over two decades, whe...
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ftunivwollongong:oai:ro.uow.edu.au:eispapers1-5208 2023-05-15T14:34:50+02:00 Bayesian inference of spatio-temporal changes of arctic sea ice Zhang, Bohai Cressie, Noel A 2020-01-01T08:00:00Z application/pdf https://ro.uow.edu.au/eispapers1/4181 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=5208&context=eispapers1 unknown Research Online https://ro.uow.edu.au/eispapers1/4181 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=5208&context=eispapers1 Faculty of Engineering and Information Sciences - Papers: Part B Engineering Science and Technology Studies article 2020 ftunivwollongong 2020-07-20T22:22:37Z © 2020 International Society for Bayesian Analysis. Arctic sea ice extent has drawn increasing interest and alarm from geoscientists, owing to its rapid decline. In this article, we propose a Bayesian spatio-temporal hierarchical statistical model for binary Arctic sea ice data over two decades, where a latent dynamic spatio-temporal Gaussian process is used to model the data-dependence through a logit link function. Our ultimate goal is to perform inference on the dynamic spatial behavior of Arctic sea ice over a period of two decades. Physically motivated covariates are assessed using autologistic diagnostics. Our Bayesian spatio-temporal model shows how parameter uncertainty in such a complex hierarchical model can influence spatio-temporal prediction. The posterior distributions of new summary statistics are proposed to detect the changing patterns of Arctic sea ice over two decades since 1997. Article in Journal/Newspaper Arctic Sea ice University of Wollongong, Australia: Research Online Arctic |
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Open Polar |
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University of Wollongong, Australia: Research Online |
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ftunivwollongong |
language |
unknown |
topic |
Engineering Science and Technology Studies |
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Engineering Science and Technology Studies Zhang, Bohai Cressie, Noel A Bayesian inference of spatio-temporal changes of arctic sea ice |
topic_facet |
Engineering Science and Technology Studies |
description |
© 2020 International Society for Bayesian Analysis. Arctic sea ice extent has drawn increasing interest and alarm from geoscientists, owing to its rapid decline. In this article, we propose a Bayesian spatio-temporal hierarchical statistical model for binary Arctic sea ice data over two decades, where a latent dynamic spatio-temporal Gaussian process is used to model the data-dependence through a logit link function. Our ultimate goal is to perform inference on the dynamic spatial behavior of Arctic sea ice over a period of two decades. Physically motivated covariates are assessed using autologistic diagnostics. Our Bayesian spatio-temporal model shows how parameter uncertainty in such a complex hierarchical model can influence spatio-temporal prediction. The posterior distributions of new summary statistics are proposed to detect the changing patterns of Arctic sea ice over two decades since 1997. |
format |
Article in Journal/Newspaper |
author |
Zhang, Bohai Cressie, Noel A |
author_facet |
Zhang, Bohai Cressie, Noel A |
author_sort |
Zhang, Bohai |
title |
Bayesian inference of spatio-temporal changes of arctic sea ice |
title_short |
Bayesian inference of spatio-temporal changes of arctic sea ice |
title_full |
Bayesian inference of spatio-temporal changes of arctic sea ice |
title_fullStr |
Bayesian inference of spatio-temporal changes of arctic sea ice |
title_full_unstemmed |
Bayesian inference of spatio-temporal changes of arctic sea ice |
title_sort |
bayesian inference of spatio-temporal changes of arctic sea ice |
publisher |
Research Online |
publishDate |
2020 |
url |
https://ro.uow.edu.au/eispapers1/4181 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=5208&context=eispapers1 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Faculty of Engineering and Information Sciences - Papers: Part B |
op_relation |
https://ro.uow.edu.au/eispapers1/4181 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=5208&context=eispapers1 |
_version_ |
1766307789516308480 |