2020
DOI: 10.3389/feart.2020.00099
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Abstract: The Andes Cordillera contains the most diverse cryosphere on Earth, including extensive areas covered by seasonal snow, numerous tropical and extratropical glaciers, and many mountain permafrost landforms. Here, we review some recent advances in the study of the main components of the cryosphere in the Andes, and discuss the changes observed in the seasonal snow and permanent ice masses of this region over the past decades. The open access and increasing availability of remote sensing products has produced a s… Show more

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Cited by 83 publications
(71 citation statements)
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References 204 publications
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“…Ayala et al (2020) estimated that glacier contributions to streamflow of the Maipo River (1955-2099) may have already peaked if climate was to stabilize at the level of the past two decades. Such model findings of the last decades also support the large scale observed patterns in glacier mass balance related to the so-called "mega-drought" (Braun et al, 2019;Dussaillant et al, 2019;Farias-Barahona et al, 2019;Farias-Barahona et al, 2020a;Farias-Barahona et al, 2020b;Masiokas et al, 2020). Nevertheless, the relative contributions of glaciers are governed by the hydrological snow year in the upper catchments of the central Andes, which are typically snow-dominated.…”
Section: Snow Depth Vs Meteorology Of the Central Andessupporting
confidence: 69%
See 1 more Smart Citation
“…Ayala et al (2020) estimated that glacier contributions to streamflow of the Maipo River (1955-2099) may have already peaked if climate was to stabilize at the level of the past two decades. Such model findings of the last decades also support the large scale observed patterns in glacier mass balance related to the so-called "mega-drought" (Braun et al, 2019;Dussaillant et al, 2019;Farias-Barahona et al, 2019;Farias-Barahona et al, 2020a;Farias-Barahona et al, 2020b;Masiokas et al, 2020). Nevertheless, the relative contributions of glaciers are governed by the hydrological snow year in the upper catchments of the central Andes, which are typically snow-dominated.…”
Section: Snow Depth Vs Meteorology Of the Central Andessupporting
confidence: 69%
“…The very high (up to 5,000-6,000 m) elevation differences between the mountain peaks and populous lowland regions further emphasise the strong dipole of the source and sink of snow which is exacerbated by prolonged severe drought conditions for the region (Garreaud et al, 2017;Garreaud et al, 2019). Quantifying the snow volume of these high mountain catchments is therefore of great importance (Masiokas et al, 2006;Gascoin et al, 2013;Ragettli et al, 2014;Cortés et al, 2016;Masiokas et al, 2020;Shaw et al, 2020a;Shaw et al, 2020b), yet the lack of high elevation observations is a limiting factor in understanding the spatiotemporal behaviour of the snowpack (Alvarez-Garreton et al, 2018;Scaff et al, 2018;Masiokas et al, 2020). This is particularly evident when there are insufficient observations at very high elevations (>∼3,000 m a.s.l.)…”
Section: Introductionmentioning
confidence: 99%
“…In the Andes, the glaciers cover a broad range of latitudes and elevations, showing an accelerated shrinkage from mid-20th century in Chile (e.g. Bown et al, 2008Bown et al, , 2013Farías-Barahona et al, 2020a;Malmros et al, 2016;Masiokas et al, 2020;Meier et al, 2018;Rabatel et al, 2011;Rivera et al, 2000Rivera et al, ,2012Seehaus et al, 2019). In the Extratropical Andes in Chile, the glacier mass lost was explained mostly by climatic variables like precipitation, temperature, and solar radiation (Ayala et al, 2016;Falaschi et al, 2019;Kinnard et al, 2020;Macdonell et al, 2013;Masiokas et al, 2016;Rabatel et al, 2011;Ragettli & Pellicciotti, 2012;Schaefer et al, 2017;Weidemann et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…However, to improve our understanding of glacier processes and to estimate future changes, the applications of dynamical ice models and surface mass balance models need to be further extended. In this respect, accurate estimates of downscaled atmospheric variables and in-situ observations are crucial to achieve reliable model results [26].…”
Section: Rationalementioning
confidence: 99%