dc.contributor.author | Fioravanti, Guido | |
dc.contributor.author | Martino, Sara | |
dc.contributor.author | Cameletti, Michela | |
dc.contributor.author | Toreti, Andrea | |
dc.date.accessioned | 2024-07-08T07:34:52Z | |
dc.date.available | 2024-07-08T07:34:52Z | |
dc.date.created | 2023-09-05T15:03:59Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | International Journal of Climatology. 2023, 43 (14), 6866-6886. | en_US |
dc.identifier.issn | 0899-8418 | |
dc.identifier.uri | https://hdl.handle.net/11250/3139202 | |
dc.description.abstract | Gridded observational products of the main climate parameters are essential in climate science. Current interpolation approaches, implemented to derive such products, often lack of a proper uncertainty propagation and representation. In this study, we introduce a Bayesian spatiotemporal approach based on the integrated nested Laplace approximation (INLA) and the stochastic partial differential equation (SPDE). The method is described and discussed by using a real case study based on high-resolution monthly 2-m maximum (Tmax) and minimum (Tmin) air temperature over Italy in 1961–2020. The INLA-SPDE based approach is able to properly take into account uncertainties in the final gridded products and offers interesting promising advantages to deal with nonstationary and non-Gaussian multisource data. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Wiley | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Interpolating climate variables by using INLA and the SPDE approach | en_US |
dc.title.alternative | Interpolating climate variables by using INLA and the SPDE approach | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 6866-6886 | en_US |
dc.source.volume | 43 | en_US |
dc.source.journal | International Journal of Climatology | en_US |
dc.source.issue | 14 | en_US |
dc.identifier.doi | 10.1002/joc.8240 | |
dc.identifier.cristin | 2172653 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |