000163317 001__ 163317
000163317 005__ 20251024172259.0
000163317 0247_ $$2doi$$a10.1002/joc.70111
000163317 0248_ $$2sideral$$a145737
000163317 037__ $$aART-2025-145737
000163317 041__ $$aeng
000163317 100__ $$aHerrera, Sixto
000163317 245__ $$aIntercomparison of daily maximum and minimum temperature gridded products over mainland Spain
000163317 260__ $$c2025
000163317 5060_ $$aAccess copy available to the general public$$fUnrestricted
000163317 5203_ $$aThe sensitivity to the observational reference has been reported in recent studies, highlighting the importance of observational uncertainty in climate research. These studies stress the importance of properly comparing available datasets, recognising their respective strengths and limitations. Here, we conduct a comprehensive analysis of the various datasets of maximum and minimum daily temperatures available for mainland Spain. We examined 10 publicly available daily gridded datasets of maximum and minimum temperatures, analysing multiple evaluation dimensions to identify the key strengths and limitations of each dataset: statistical distribution, extreme events, temporal structure and spells and spatial patterns. We conclude that observational uncertainty is greater for minimum temperatures than for maximum temperatures. This uncertainty is not strictly linked to the type of dataset (interpolation, analysis or reanalysis) or its spatial domain (national, European or global) but rather to specific datasets which vary depending on the analysis dimension. Overall, the most stable dataset across all evaluated indices is STEAD, whereas the PTI-Clima v0 dataset exhibits some underestimation of extremes and spells but performs well in capturing central parameters and temporal correlations.
000163317 536__ $$9info:eu-repo/grantAgreement/ES/AEI/AEI PID2019-111481RB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2021-034330-I
000163317 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000163317 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000163317 700__ $$aGonzález Rouco, Fidel
000163317 700__ $$0(orcid)0000-0001-7663-1202$$aSerrano-Notivoli, Roberto$$uUniversidad de Zaragoza
000163317 700__ $$aGarrido, Juan Luís
000163317 700__ $$0(orcid)0000-0002-3974-2947$$aBeguería, Santiago
000163317 700__ $$aGutiérrez, José M.
000163317 700__ $$aQuintana-Seguí, Pere
000163317 700__ $$aIturbide, Maialen
000163317 700__ $$aRodríguez, Esteban
000163317 700__ $$aMorata, Ana
000163317 700__ $$aPeral, Candelas
000163317 7102_ $$13006$$2430$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Física
000163317 773__ $$g(2025), e70111 [22 pp.]$$pInt. j. climatol.$$tInternational Journal of Climatology$$x0899-8418
000163317 8564_ $$s19403539$$uhttps://zaguan.unizar.es/record/163317/files/texto_completo.pdf$$yVersión publicada
000163317 8564_ $$s2493715$$uhttps://zaguan.unizar.es/record/163317/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000163317 909CO $$ooai:zaguan.unizar.es:163317$$particulos$$pdriver
000163317 951__ $$a2025-10-24-16:57:01
000163317 980__ $$aARTICLE