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http://hdl.handle.net/20.500.11765/15174
Small-scale surface heterogeneity and potential inhomogeneities in temperature time series: a case study
Título : | Small-scale surface heterogeneity and potential inhomogeneities in temperature time series: a case study |
Autor : | Guijarro Pastor, José Antonio ; Simó, Gemma; Martínez-Villagrasa, Daniel; Martí, Belén; Jiménez, María Antonia; García-Santos, Vicenç; Cuxart, Joan |
Palabras clave : | Temperature series; Inhomogeneities; Station relocation; Surface features |
Fecha de publicación : | 2023 |
Editor: | Wiley; Royal Meteorological Society |
Citación : | International Journal of Climatology. 2023 (Early view) |
Versión del editor: | https://doi.org/10.1002/joc.8237 |
Resumen : | Measurements in seven sites in the Campus of the University of the Balearic Islands (UIB; Mallorca, Spain) during an experimental campaign to study the contribution of local surface heterogeneities on the surface energy budget at one point have been used to characterize the differences in extreme daily temperatures between the sites during a summer month. Absolute temperature differences in this month reached up to 1.92 (with a median of 0.73) and 2.02 (median of 1.21)°C for daily maximum and minimum, respectively. Higher differences in the minimum temperature can be attributed to the stably stratified and weak turbulent conditions at night that enhance local differences in the surface energy fluxes, especially in an area with strong variability of the surface characteristics like the UIB Campus. Instead, during daytime, maximum temperature differences are smoothed due to the convection and the horizontal advection due to the sea-breeze. Two sites with longer records allowed to study the seasonal variations of these differences, which were substantially lower in the colder months. These results suggest that relocation of observatories, even at distances as short as 200 m, may introduce important inhomogeneities in the temperature series. Therefore, raw values of series from nearby stations should not be used to infill missing data in other series without adequate statistical adjustments. |
Patrocinador: | This work was part of of the research project grants CGL2015-65627-C3-1-R and RTI2018- 098693-B-C31 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe. |
URI : | http://hdl.handle.net/20.500.11765/15174 |
ISSN : | 0899-8418 1097-0088 |
Colecciones: | Artículos científicos 2023-2026 |
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Fichero | Descripción | Tamaño | Formato | ||
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SSS_Heterogeneities-I... | 1,71 MB | Adobe PDF | Visualizar/Abrir |
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