2022
DOI: 10.1073/pnas.2109796119
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Warming-induced monsoon precipitation phase change intensifies glacier mass loss in the southeastern Tibetan Plateau

Abstract: Glaciers are key components of the mountain water towers of Asia and are vital for downstream domestic, agricultural, and industrial uses. The glacier mass loss rate over the southeastern Tibetan Plateau is among the highest in Asia and has accelerated in recent decades. This acceleration has been attributed to increased warming, but the mechanisms behind these glaciers’ high sensitivity to warming remain unclear, while the influence of changes in precipitation over the past decades is poorly quantified. Here,… Show more

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Cited by 51 publications
(35 citation statements)
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“…Parlung Glacier Number 4 (29.245 • N 96.928 • E, hereafter 'Parlung 4' or 'PAR4') is a 11.7 km 2 , spring-type accumulation glacier in the southeastern Tibetan Plateau. The glacier has been the focus of several recent studies that have explored meteorological processes (Yang et al 2011, Shaw et al 2021, glacier dynamics (Yang et al 2020) and energy/mass balance (Zhu et al 2015, 2018, Jouberton et al 2022. Mugagangqiong Glacier (34.248 • N 87.490 • E, hereafter 'MUGA' for tables and figures) is a 2 km 2 glacier in the arid central Tibetan Plateau.…”
Section: Study Areamentioning
confidence: 99%
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“…Parlung Glacier Number 4 (29.245 • N 96.928 • E, hereafter 'Parlung 4' or 'PAR4') is a 11.7 km 2 , spring-type accumulation glacier in the southeastern Tibetan Plateau. The glacier has been the focus of several recent studies that have explored meteorological processes (Yang et al 2011, Shaw et al 2021, glacier dynamics (Yang et al 2020) and energy/mass balance (Zhu et al 2015, 2018, Jouberton et al 2022. Mugagangqiong Glacier (34.248 • N 87.490 • E, hereafter 'MUGA' for tables and figures) is a 2 km 2 glacier in the arid central Tibetan Plateau.…”
Section: Study Areamentioning
confidence: 99%
“…(Steiner et al 2021) were used to generate hourly-monthly temperature lapse rates, and temperatures were adjusted for the boundary layer cooling effect of Yala using the onglacier AWS temperatures. For Parlung 4, we consider the off-glacier temperature lapse rates derived from the data of Shaw et al (2021) and as applied by Jouberton et al (2022). Precipitation is distributed similarly to Jouberton et al (2022) who applied a correction factor of 1.75 and gradient of 14% 100 m −1 to account for the distinct precipitation regime between valley and the glacier.…”
Section: Datasetsmentioning
confidence: 99%
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