dc.creatorAranda, Felipe Andres
dc.creatorMedina, Diego
dc.creatorCastro, Lina
dc.creatorOssandon, Alvaro Humberto
dc.creatorOvalle, Ramón
dc.creatorFlores Audibert, Raul
dc.creatorBolaño-Ortiz, Tomás R.
dc.date2024-01-23T18:18:38Z
dc.date2024-01-23T18:18:38Z
dc.date2023
dc.date.accessioned2024-05-02T20:32:05Z
dc.date.available2024-05-02T20:32:05Z
dc.identifierhttp://repositorio.ucm.cl/handle/ucm/5198
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9275383
dc.descriptionThe 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.
dc.languageen
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourceRemote Sensing, 15(23), 5556
dc.subjectSnow basin
dc.subjectSnow persistence
dc.subjectSnow line detection
dc.subjectClimatic trend
dc.subjectClimate change
dc.subjectMODIS
dc.subjectAndes
dc.titleSnow persistence and snow line elevation trends in a snowmelt-driven basin in the central Andes and their correlations with hydroclimatic variables
dc.typeArticle


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