Rank-Ordering of topographic variables correlated with temperature

Daniel Joly 1 Benjamin Bois 2 Klemen Zakšek 3
1 Paysage & Cadre de vie
ThéMA - Théoriser et modéliser pour aménager (UMR 6049)
Abstract : Spatial variations in temperature may be ascribed to many variables. Among these, variables pertaining to topography are prominent. Thus various topographic variables were calculated from 50 m-resolution digital terrain models (DTMs) for three study areas in France and for Slovenia. The "classic" geomatic variables (altitude, aspect, gradient, etc.) are supplemented by the description of landforms (amplitude of humps and hollows). Special care is taken in managing collinearity among variables and building windows with different dimensions. Statistical processing involves linear regressions of daily temperatures taken as the response variables and six topographic variables (explanatory variables). Altitude accounts significantly for the spatial variation in temperatures in 90% of cases, except in the Gironde, a low- lying area (50%). The scale of landforms also appears to be highly correlated to the measured temperature. Variations in the frequency with which topographic descriptors account for temperatures are examined from several standpoints. Al- titude is less frequently taken as an explanatory variable for spatial variation of temperatures in winter (75%) than in spring (80%) and late summer (85%). Minimum temperatures are influenced on average much more by the amplitude of humps and hollows (56%) than maximum temperatures (38%) are. The frequency with which these two landforms ac- count for the spatial variation of temperature is reversed between the minima and maxima.
Type de document :
Article dans une revue
Atmospheric and Climate Sciences, 2012, 2 (2), pp.139-147. 〈10.4236/acs.2012.22015〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00981932
Contributeur : Théoriser Et Modéliser Pour Aménager (umr 6049) Université de Bourgogne Franche-Comté <>
Soumis le : mercredi 23 avril 2014 - 09:43:35
Dernière modification le : vendredi 13 juillet 2018 - 11:31:42
Document(s) archivé(s) le : mercredi 23 juillet 2014 - 11:11:01

Fichier

Joly_rank_ordering.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

Citation

Daniel Joly, Benjamin Bois, Klemen Zakšek. Rank-Ordering of topographic variables correlated with temperature. Atmospheric and Climate Sciences, 2012, 2 (2), pp.139-147. 〈10.4236/acs.2012.22015〉. 〈hal-00981932〉

Partager

Métriques

Consultations de la notice

534

Téléchargements de fichiers

200