Articles | Volume 16, issue 12
https://doi.org/10.5194/essd-16-5703-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-5703-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
17 Dec 2024
Data description paper |
| 17 Dec 2024
| 17 Dec 2024
TPRoGI: a comprehensive rock glacier inventory for the Tibetan Plateau using deep learning
Zhangyu Sun
Department of Earth and Environmental Sciences, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China
Department of Earth and Environmental Sciences, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China
Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
Adina Racoviteanu
Université Grenoble Alpes, CNRS, IRD, IGE, Saint-Martin-d'Hères, France
Department of Earth and Environmental Sciences, Faculty of Science, The Chinese University of Hong Kong, Hong Kong, China
Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
Stephan Harrison
Faculty of Environment, Science and Economy, University of Exeter, Exeter, United Kingdom
Xiaowen Wang
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China
Jiaxin Cai
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China
Xin Guo
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China
Yujun He
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China
Hailun Yuan
Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China
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Our study explores how thawing permafrost on the Qinghai-Tibet Plateau triggers landslides, mobilising stored carbon. Using satellite data from 2011 to 2020, we measured soil erosion, ice loss, and carbon mobilisation. While current impacts are modest, increasing landslide activity suggests future significance. This research underscores the need to understand permafrost thaw's role in carbon dynamics and climate change.
Stephan Harrison, Adina Racoviteanu, Sarah Shannon, Darren Jones, Karen Anderson, Neil Glasser, Jasper Knight, Anna Ranger, Arindan Mandal, Brahma Dutt Vishwakarma, Jeffrey Kargel, Dan Shugar, Umesh Haritishaya, Dongfeng Li, Aristeidis Koutroulis, Klaus Wyser, and Sam Inglis
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Climate change is leading to a global recession of mountain glaciers, and numerical modelling suggests that this will result in the eventual disappearance of many glaciers, impacting water supplies. However, an alternative scenario suggests that increased rock fall and debris flows to valley bottoms will cover glaciers with thick rock debris, slowing melting and transforming glaciers into rock-ice mixtures called rock glaciers. This paper explores these scenarios.
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Rock glaciers are considered to be important freshwater reservoirs in the future climate. However, the amount of ice stored in rock glaciers is poorly quantified. Here we developed an empirical model to estimate ice content in rock the glaciers in the Khumbu and Lhotse valleys, Nepal. The modelling results confirmed the hydrological importance of rock glaciers in the study area. The developed approach shows promise in being applied to permafrost regions to assess water storage of rock glaciers.
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We characterized the multi-decadal geomorphic changes of a low-angle valley glacier in the East Kunlun Mountains and assessed the detachment hazard influence. The observations reveal a slow surge-like dynamic pattern of the glacier tongue. The maximum runout distances of two endmember avalanche scenarios were presented. This study provides a reference to evaluate the runout hazards of low-angle mountain glaciers prone to detachment.
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The Cryosphere, 15, 3021–3033, https://doi.org/10.5194/tc-15-3021-2021, https://doi.org/10.5194/tc-15-3021-2021, 2021
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We improve the commonly used GPS-IR algorithm for estimating surface soil moisture in permafrost areas, which does not consider the bias introduced by seasonal surface vertical movement. We propose a three-in-one framework to integrate the GPS-IR observations of surface elevation changes, soil moisture, and snow depth at one site and illustrate it by using a GPS site in the Qinghai–Tibet Plateau. This study is the first to use GPS-IR to measure environmental variables in the Tibetan Plateau.
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Short summary
We propose a new dataset, TPRoGI (v1.0), encompassing rock glaciers in the entire Tibetan Plateau. We used a neural network, DeepLabv3+, and images from Planet Basemaps. The inventory identified 44 273 rock glaciers, covering 6 000 km2, mainly at elevations of 4000 to 5500 m a.s.l. The dataset, with details on distribution and characteristics, aids in understanding permafrost distribution, mountain hydrology, and climate impacts in High Mountain Asia, filling a knowledge gap.
We propose a new dataset, TPRoGI (v1.0), encompassing rock glaciers in the entire Tibetan...
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