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Titel |
Topographic control of snowpack distribution in a small catchment in the central Spanish Pyrenees: intra- and inter-annual persistence |
VerfasserIn |
J. Revuelto, J. I. López-Moreno, C. Azorin-Molina, S. M. Vicente-Serrano |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1994-0416
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Digitales Dokument |
URL |
Erschienen |
In: The Cryosphere ; 8, no. 5 ; Nr. 8, no. 5 (2014-10-28), S.1989-2006 |
Datensatznummer |
250116332
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Publikation (Nr.) |
copernicus.org/tc-8-1989-2014.pdf |
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Zusammenfassung |
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. |
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