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dc.contributor.authorHaug, Ola
dc.contributor.authorThorarinsdottir, Thordis Linda
dc.contributor.authorSørbye, Sigrunn Holbek
dc.contributor.authorFranzke, Christian L.E.
dc.date.accessioned2020-06-11T12:24:12Z
dc.date.available2020-06-11T12:24:12Z
dc.date.issued2020-02-28
dc.description.abstractClassical assessments of trends in gridded temperature data perform independent evaluations across the grid, thus, ignoring spatial correlations in the trend estimates. In particular, this affects assessments of trend significance as evaluation of the collective significance of individual tests is commonly neglected. In this article we build a space–time hierarchical Bayesian model for temperature anomalies where the trend coefficient is modelled by a latent Gaussian random field. This enables us to calculate simultaneous credible regions for joint significance assessments. In a case study, we assess summer season trends in 65 years of gridded temperature data over Europe. We find that while spatial smoothing generally results in larger regions where the null hypothesis of no trend is rejected, this is not the case for all subregions.en_US
dc.identifier.citationHaug O, Thorarinsdottir TL, Sørbye SH, Franzke. Spatial trend analysis of gridded temperature data at varying spatial scales. Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO). 2020;6(1):1-12en_US
dc.identifier.cristinIDFRIDAID 1809253
dc.identifier.doi10.5194/ascmo-6-1-2020
dc.identifier.issn2364-3579
dc.identifier.issn2364-3587
dc.identifier.urihttps://hdl.handle.net/10037/18527
dc.language.isoengen_US
dc.publisherCopernicus Publicationsen_US
dc.relation.journalAdvances in Statistical Climatology, Meteorology and Oceanography (ASCMO)
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/KLIMAFORSK/229754/Norway/Long-range memory in Earths climate response and its implications for future global warming//en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400en_US
dc.titleSpatial trend analysis of gridded temperature data at varying spatial scalesen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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