Topographic control of snowpack distribution in a small catchment in the central Spanish Pyrenees: Intra- and inter-annual persistence
Resumen: In this study we analyzed the relations between terrain characteristics and snow depth distribution in a small alpine catchment located in the central Spanish Pyrenees. Twelve field campaigns were conducted during 2012 and 2013, which were years characterized by very different climatic conditions. Snow depth was measured using a long range terrestrial laser scanner and analyses were performed at a spatial resolution of 5 m. Pearson's r correlation, multiple linear regressions (MLRs) and binary regression trees (BRTs) were used to analyze the influence of topography on the snow depth distribution. The analyses were used to identify the topographic variables that best explain the snow distribution in this catchment, and to assess whether their contributions were variable over intra- and interannual timescales. The topographic position index (index that compares the relative elevation of each cell in a digital elevation model to the mean elevation of a specified neighborhood around that cell with a specific shape and searching distance), which has rarely been used in these types of studies, most accurately explained the distribution of snow. The good capability of the topographic position index (TPI) to predict snow distribution has been observed in both, MLRs and BRTs for all analyzed days. Other variables affecting the snow depth distribution included the maximum upwind slope, elevation and northing. The models developed to predict snow distribution in the basin for each of the 12 survey days were similar in terms of the explanatory variables. However, the variance explained by the overall model and by each topographic variable, especially those making a lesser contribution, differed markedly between a year in which snow was abundant (2013) and a year when snow was scarce (2012), and also differed between surveys in which snow accumulation or melting conditions dominated in the preceding days. The total variance explained by the models clearly decreased for those days on which the snowpack was thinner and more patchily. Despite the differences in climatic conditions in the 2012 and 2013 snow seasons, similarities in snow distributions patterns were observed which are directly related to terrain topographic characteristics.
Idioma: Inglés
DOI: 10.5194/tc-8-1989-2014
Año: 2014
Publicado en: CRYOSPHERE 8, 5 (2014), 1989-2006
ISSN: 1994-0416

Factor impacto JCR: 5.516 (2014)
Categ. JCR: GEOGRAPHY, PHYSICAL rank: 2 / 46 = 0.043 (2014) - Q1 - T1
Categ. JCR: GEOSCIENCES, MULTIDISCIPLINARY rank: 6 / 175 = 0.034 (2014) - Q1 - T1

Factor impacto SCIMAGO:

Financiación: info:eu-repo/grantAgreement/ES/MAGRAMA/OAPN-844-2013
Financiación: info:eu-repo/grantAgreement/ES/MINECO/CGL2011-27536
Financiación: info:eu-repo/grantAgreement/ES/MINECO/CGL2011-27536-HID
Financiación: info:eu-repo/grantAgreement/ES/MINECO/CGL2011-27574-C02-02
Tipo y forma: Article (Published version)
Área (Departamento): Psicología Social (Departamento de Psicología y Sociología)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


Exportado de SIDERAL (2017-05-04-09:46:52)

Este artículo se encuentra en las siguientes colecciones:
Articles > Artículos por área > Psicología Social



 Record created 2016-12-21, last modified 2017-05-04


Versión publicada:
 PDF
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)