Spatial variability of maximum and minimum monthly temperature in Spain during 1981–2010 evaluated by correlation decay distance (CDD)

Peña-Angulo, D. (Universidad de Zaragoza) ; Cortesi, N. ; Brunetti, M. ; González-Hidalgo, J.C. (Universidad de Zaragoza)

Resumen: The 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, .

Idioma: Inglés

DOI: 10.1007/s00704-014-1277-x

Año: 2015

Publicado en: THEORETICAL AND APPLIED CLIMATOLOGY 122, 1-2 (2015), 35-45
ISSN: 0177-798X

Factor impacto JCR: 2.433 (2015)

Categ. JCR: METEOROLOGY & ATMOSPHERIC SCIENCES rank: 28 / 84 = 0.333 (2015) - Q2 - T2

Factor impacto SCIMAGO: 1.062 - Atmospheric Science (Q2)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/CGL2011-27574-C02-01

Tipo y forma: Article (PrePrint)

Área (Departamento): Área Geografía Física (Dpto. Geograf. Ordenac.Territ.)