000058359 001__ 58359
000058359 005__ 20170504094953.0
000058359 0247_ $$2doi$$a10.5194/tc-8-1989-2014
000058359 0248_ $$2sideral$$a88311
000058359 037__ $$aART-2014-88311
000058359 041__ $$aeng
000058359 100__ $$0(orcid)0000-0001-5483-0147$$aRevuelto, J.
000058359 245__ $$aTopographic control of snowpack distribution in a small catchment in the central Spanish Pyrenees: Intra- and inter-annual persistence
000058359 260__ $$c2014
000058359 5060_ $$aAccess copy available to the general public$$fUnrestricted
000058359 5203_ $$aIn 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.
000058359 536__ $$9info:eu-repo/grantAgreement/ES/MAGRAMA/OAPN-844-2013$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2011-27536$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2011-27536-HID$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2011-27574-C02-02
000058359 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000058359 590__ $$a5.516$$b2014
000058359 591__ $$aGEOGRAPHY, PHYSICAL$$b2 / 46 = 0.043$$c2014$$dQ1$$eT1
000058359 591__ $$aGEOSCIENCES, MULTIDISCIPLINARY$$b6 / 175 = 0.034$$c2014$$dQ1$$eT1
000058359 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000058359 700__ $$0(orcid)0000-0002-7270-9313$$aLópez-Moreno, J.I.
000058359 700__ $$aAzorin-Molina, C.
000058359 700__ $$0(orcid)0000-0002-0975-0663$$aVicente-Serrano, S.$$uUniversidad de Zaragoza
000058359 7102_ $$14009$$2740$$aUniversidad de Zaragoza$$bDepartamento de Psicología y Sociología$$cPsicología Social
000058359 773__ $$g8, 5 (2014), 1989-2006$$pCRYOSPHERE$$tCRYOSPHERE$$x1994-0416
000058359 8564_ $$s934894$$uhttps://zaguan.unizar.es/record/58359/files/texto_completo.pdf$$yVersión publicada
000058359 8564_ $$s113708$$uhttps://zaguan.unizar.es/record/58359/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000058359 909CO $$ooai:zaguan.unizar.es:58359$$particulos$$pdriver
000058359 951__ $$a2017-05-04-09:46:52
000058359 980__ $$aARTICLE