Comparative Analysis of Spatial Interpolation Methods in the Mediterranean Area: Application to Temperature in Sicily

Francesco Lo Conti, Leonardo Noto, Annalisa Di Piazza, Emanuele Eccel

Risultato della ricerca: Articlepeer review

36 Citazioni (Scopus)

Abstract

An exhaustive comparison among different spatial interpolation algorithms was carried out in order to derive annual and monthly air temperature maps for Sicily (Italy). Deterministic, data-driven and geostatistics algorithms were used, in some cases adding the elevation information and other physiographic variables to improve the performance of interpolation techniques and the reconstruction of the air temperature field. The dataset is given by air temperature data coming from 84 stations spread around the island of Sicily. The interpolation algorithms were optimized by using a subset of the available dataset, while the remaining subset was used to validate the results in terms of the accuracy and bias of the estimates. Validation results indicate that univariate methods, which neglect the information from physiographic variables, significantly entail the largest errors, while performances improve when such parameters are taken into account. The best results at the annual scale have been obtained using the the ordinary kriging of residuals from linear regression and from the artificial neural network algorithm, while, at the monthly scale, a Fourier-series algorithm has been used to downscale mean annual temperature to reproduce monthly values in the annual cycle.
Lingua originaleEnglish
pagine (da-a)1866-1888
Numero di pagine23
RivistaWATER
Stato di pubblicazionePublished - 2015

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.3300.3305???
  • ???subjectarea.asjc.1100.1104???
  • ???subjectarea.asjc.2300.2312???

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