000046958 001__ 46958
000046958 005__ 20210121114514.0
000046958 0247_ $$2doi$$a10.1007/s00704-014-1277-x
000046958 0248_ $$2sideral$$a92317
000046958 037__ $$aART-2015-92317
000046958 041__ $$aeng
000046958 100__ $$0(orcid)0000-0001-5333-2285$$aPeña-Angulo, D.$$uUniversidad de Zaragoza
000046958 245__ $$aSpatial variability of maximum and minimum monthly temperature in Spain during 1981–2010 evaluated by correlation decay distance (CDD)
000046958 260__ $$c2015
000046958 5060_ $$aAccess copy available to the general public$$fUnrestricted
000046958 5203_ $$aThe spatial variability of monthly diurnal and nocturnal mean values of temperature in Spain has been analysed to evaluate the optimal threshold distance between neighbouring stations that make a meteorological network (in terms of stations’ density) well representative of the conterminous land of Spain. To this end, the correlation decay distance has been calculated using the highest quality monthly available temperature series (1981–2010) from AEMet (National Spanish Meteorological Agency). In the conterminous land of Spain, the distance at which couples of stations have a common variance above the selected threshold (50 %, r Pearson ~0.70) for both maximum and minimum temperature on average does not exceed 400 km, with relevant spatial and temporal differences, and in extended areas of Spain, this value is lower than 200 km. The spatial variability for minimum temperature is higher than for maximum, except in cold months when the reverse is true. Spatially, highest values are located in both diurnal and nocturnal temperatures to the southeastern coastland and lower spatial variability is found to the inland areas, and thus the spatial variability shows a clear coastland-to-inland gradient at annual and monthly scale. Monthly analyses show that the highest spatial variability in maximum and minimum temperatures occur in July and August, when radiation is maximum, and in lowland areas, (<200 m o.s.l.), which coincide with the mostly transformed landscapes, particularly by irrigation and urbanization. These results highlight local factors could play a major role on spatial variability of temperature. Being maximum and minimum temperature interstation correlation values highly variable in Spanish land, an average of threshold distance of about 200 km as a limit value for a well representative network should be recommended for climate analyses, .
000046958 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/CGL2011-27574-C02-01
000046958 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000046958 590__ $$a2.433$$b2015
000046958 591__ $$aMETEOROLOGY & ATMOSPHERIC SCIENCES$$b28 / 84 = 0.333$$c2015$$dQ2$$eT2
000046958 592__ $$a1.062$$b2015
000046958 593__ $$aAtmospheric Science$$c2015$$dQ2
000046958 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/submittedVersion
000046958 700__ $$aCortesi, N.
000046958 700__ $$aBrunetti, M.
000046958 700__ $$0(orcid)0000-0002-8518-9177$$aGonzález-Hidalgo, J.C.$$uUniversidad de Zaragoza
000046958 7102_ $$13006$$2430$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Física
000046958 773__ $$g122, 1-2 (2015), 35-45$$pTheor. appl. climatol.$$tTHEORETICAL AND APPLIED CLIMATOLOGY$$x0177-798X
000046958 8564_ $$s3851668$$uhttps://zaguan.unizar.es/record/46958/files/texto_completo.pdf$$yPreprint
000046958 8564_ $$s34297$$uhttps://zaguan.unizar.es/record/46958/files/texto_completo.jpg?subformat=icon$$xicon$$yPreprint
000046958 909CO $$ooai:zaguan.unizar.es:46958$$particulos$$pdriver
000046958 951__ $$a2021-01-21-10:58:56
000046958 980__ $$aARTICLE