000089617 001__ 89617
000089617 005__ 20220405150420.0
000089617 0247_ $$2doi$$a10.1002/joc.6520
000089617 0248_ $$2sideral$$a117428
000089617 037__ $$aART-2020-117428
000089617 041__ $$aeng
000089617 100__ $$0(orcid)0000-0002-8518-9177$$aGonzalez-Hidalgo, José Carlos$$uUniversidad de Zaragoza
000089617 245__ $$aMOTEDAS century: A new high-resolution secular monthly maximum and minimum temperature grid for the Spanish mainland (1916–2015)
000089617 260__ $$c2020
000089617 5060_ $$aAccess copy available to the general public$$fUnrestricted
000089617 5203_ $$aInformation was retrieved from the Annual Climate Summaries (ACS) on average monthly temperatures in Spain for the period 1916–1949, and combined with the digitalized data from the National Climate Data Bank of the Spanish meteorological service (AEMET) to create the new MOTEDAS_century (MOnthly Temperature Dataset of Spain) database of mean monthly maximums (Tmax) and minimums (Tmin). This database was used to calculate a high-resolution (10 × 10 km) grid that allowed to make a detailed analysis of the temporal evolution of temperature in Spain during the period 1916–2015. Over the period, mean Tmax increased by 1.2°C, while Tmin increased by 1.0°C (this ratio is reversed in the second half of the century). In the last 30 years, however, mean annual Tmax and Tmin trends have not been significant. There are some differences between the new mean annual maximum and minimum temperature series and previous versions, which seem to arise from the much higher number of weather stations analysed, their location and the processing used. There is a discussion on the improved spatial representativeness of the new MOTEDAS_century that provides a more detailed representation of the spatial variability of temperatures in continental Spain.
000089617 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E02-17R$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2017-83866-C3-1-R$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2017-83866-C3-3-R$$9info:eu-repo/grantAgreement/ES/MINECO/FJCI-2017-33652
000089617 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000089617 590__ $$a4.069$$b2020
000089617 591__ $$aMETEOROLOGY & ATMOSPHERIC SCIENCES$$b31 / 94 = 0.33$$c2020$$dQ2$$eT1
000089617 592__ $$a1.58$$b2020
000089617 593__ $$aAtmospheric Science$$c2020$$dQ1
000089617 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000089617 700__ $$0(orcid)0000-0001-5333-2285$$aPeña-Angulo, Dhais
000089617 700__ $$0(orcid)0000-0002-3974-2947$$aBeguería, Santiago
000089617 700__ $$aBrunetti, Michele
000089617 7102_ $$13006$$2430$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Física
000089617 773__ $$g40, 12 (2020), 5308-5328$$pInt. j. climatol.$$tInternational Journal of Climatology$$x0899-8418
000089617 8564_ $$s5802938$$uhttps://zaguan.unizar.es/record/89617/files/texto_completo.pdf$$yVersión publicada
000089617 8564_ $$s36881$$uhttps://zaguan.unizar.es/record/89617/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000089617 909CO $$ooai:zaguan.unizar.es:89617$$particulos$$pdriver
000089617 951__ $$a2022-04-05-14:39:20
000089617 980__ $$aARTICLE