Mostrar el registro sencillo de la publicación

dc.contributor.authorAranda, Felipe Andres
dc.contributor.authorMedina, Diego
dc.contributor.authorCastro, Lina
dc.contributor.authorOssandon, Alvaro Humberto
dc.contributor.authorOvalle, Ramón
dc.contributor.authorFlores Audibert, Raul
dc.contributor.authorBolaño-Ortiz, Tomás R.
dc.date.accessioned2024-01-23T18:18:38Z
dc.date.available2024-01-23T18:18:38Z
dc.date.issued2023
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/5198
dc.description.abstractThe mountain cryosphere is crucial for socio-economic processes, especially during the dry seasons. However, anthropogenic climate change has had a detrimental impact on the cryosphere due to its sensitivity. Over the past two decades, there has been a decline in precipitation and a temperature rise, leading to a substantial reduction in the timing and extent of snow cover. This increase in temperature also elevates the snow line elevation (SLE), further diminishing the volume of available freshwater in the snow-driven basins of the Andes. In this study, we use 22 years (2000–2021) of 8-day snow product (MOD10A2) from the Moderate Resolution Imaging Spectroradiometer (MODIS) to analyze the annual and seasonal variability of snow cover area, SLE, and snow persistence (SP, an indicator of the duration of snow) in the Yeso River basin in Central Chile and the correlation of SP and SLE with hydrometeorological variables and climatic indices. We introduce a new approach called the Maximum Dissimilarity Method to obtain the SLE even on cloudy days. The results are as follows: (1) Snow cover area reductions of 34.0 km2 at low elevations in spring and 86.5 km2 at mid elevations in summer were found when comparing the period 2016–2021 to 2000–2004; (2) SP trends at the annual scale revealed a significant decrease in 89% of its area and an average of 3.6 fewer days of snow cover per year; (3) an upward and significant trend of 21 m‧year−1 in the annual SLE was found; and (4) annual SP and SLE were highly correlated with annual hydrometeorological variables, and spring and summer snow variables were significantly correlated with dry streamflow. This methodology can potentially serve as a valuable tool for detecting trends in snow-covered surfaces, and thereby associate these changes with climate change or other anthropogenic effects in future research.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceRemote Sensing, 15(23), 5556es_CL
dc.subjectSnow basines_CL
dc.subjectSnow persistencees_CL
dc.subjectSnow line detectiones_CL
dc.subjectClimatic trendes_CL
dc.subjectClimate changees_CL
dc.subjectMODISes_CL
dc.subjectAndeses_CL
dc.titleSnow persistence and snow line elevation trends in a snowmelt-driven basin in the central Andes and their correlations with hydroclimatic variableses_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias Agrarias y Forestaleses_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.indexacionIsies_CL
dc.ucm.urimdpi.com/2072-4292/15/23/5556es_CL
dc.ucm.doidoi.org/10.3390/rs15235556es_CL


Ficheros en la publicación

FicherosTamañoFormatoVer

No hay ficheros asociados a esta publicación.

Esta publicación aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo de la publicación

Atribución-NoComercial-SinDerivadas 3.0 Chile
Excepto si se señala otra cosa, la licencia de la publicación se describe como Atribución-NoComercial-SinDerivadas 3.0 Chile