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Auteur N. Cortesi |
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A new climatology of maximum and minimum temperature (1951–2010) in the Spanish mainland: a comparison between three different interpolation methods / D. Peña-Angulo in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)
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Titre : A new climatology of maximum and minimum temperature (1951–2010) in the Spanish mainland: a comparison between three different interpolation methods Type de document : Article/Communication Auteurs : D. Peña-Angulo, Auteur ; M. Brunetti, Auteur ; N. Cortesi, Auteur ; J.C. Gonzalez-Hidalgo, Auteur Année de publication : 2016 Article en page(s) : pp 2109 - 2132 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] base de données thématiques
[Termes IGN] carte thématique
[Termes IGN] données météorologiques
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] modèle de régression
[Termes IGN] température au sol
[Termes IGN] traitement géométrique de données
[Termes IGN] variation diurneRésumé : (Auteur) This study presents a new climatology of monthly temperature for mainland Spain (1951–2010), performed with the highest quality and spatially dense, up-to-date monthly temperature dataset available in the study area (MOTEDAS). Three different interpolation techniques were evaluated: the Local Weighted Linear Regression (LWLR), the Regression-Kriging (RK) and the Regression-Kriging with stepwise selection (RKS), a modification of RK. The performances of the different models were evaluated by the leave-one-out validation procedure, comparing the results from the models with the original data and calculating different error measurements. The three techniques performed better for Tmax than for Tmin, and for the cold, rather than warmer months, also at lower altitude than highland areas. The best results were achieved with LWLR applied for the first time on temperatures in the Spanish mainland. This method improved the accuracy of the temperature reconstruction with respect to RK and RKS. We present a collection of Tmax and Tmin monthly charts, using the same temperature legend to prevent any visual bias in the interpretation of the results. The dataset is available upon request. Numéro de notice : A2016-750 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1155712 En ligne : http://dx.doi.org/10.1080/13658816.2016.1155712 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82336
in International journal of geographical information science IJGIS > vol 30 n° 11-12 (November - December 2016) . - pp 2109 - 2132[article]Exemplaires(1)
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