Mots-clés
Analyse de régression ; Années 2000-2010 ; Bassin-versant ; Changement climatique ; Climatologie ; Colorado ; Colorado Front Range ; Espace-temps ; Etats-Unis ; Indice ; Manteau nival ; Montagne ; NeigeClimatic change ; Climatology ; Colorado ; Index ; Mountain ; Regression analysis ; Snow ; Snow cover ; Space time ; United States of America ; WatershedAnálisis de regresión ; Cambio climático ; Capa nival ; Climatología ; Colorado ; Cuenca hidrográfica ; Espacio-tiempo ; Estados Unidos ; Montaña ; Nieve ; ÍndiceSpatiotemporal index for analyzing controls on snow climatology : application in the Colorado Front Range
Auteur(s) et Affiliation(s)
RICHER, E.E.
Colorado Parks and Wildlife, Fort Collins, Etats-Unis
KAMPF, S.K.
Dept. of Ecosystem Science and Sustainability, Colorado State Univ., Fort Collins, Etats-Unis
FASSNACHT, S.R.
Dept. of Ecosystem Science and Sustainability, Colorado State Univ., Fort Collins, Etats-Unis
MOORE, C.C.
Dept. of Ecosystem Science and Sustainability, Colorado State Univ., Fort Collins, Etats-Unis
Description :
The AA. used remote sensing to derive a spatiotemporal index of snow climatology that reveals patterns in snow accumulation, persistence, and ablation. Then they examined how this index relates to climate, terrain, and vegetation. Analyses were based on Moderate Resolution Imaging Spectroradiometer eight-day snow cover from 2000 to 2010 for a mountain watershed in the Colorado Front Range, USA. The Snow Cover Index (SCI) was calculated as the fraction of years that were snow covered for each pixel. The proportion of SCI variability explained by independent variables was evaluated using regression analysis. Elevation was the dominant control on SCI patterns, due to its influence on both temperature and precipitation. Grouping SCI values by elevation, the AA. identified 3 distinct snow zones in the basin : persistent, transitional, and intermittent. The transitional snow zone represents an area that is sensitive to losing winter snowpack.
Type de document :
Article de périodique
Source :
Physical geography, issn : 0272-3646, 2013, vol. 34, n°. 2, p. 85-107, nombre de pages : 23, Références bibliographiques : 3 p.
Date :
2013
Editeur :
Pays édition : Royaume-Uni, Abingdon, Taylor and Francis
Langue :
Anglais
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)