“…The change detection analyses show that the number and size of glacial lakes have increased since 1969, which is similar to the observed trend in the entire Himalayan region (Bolch et al 2019). The relative increase in the total glacial lake area, which amounts to 35% in the Trans-Himalayan region of Ladakh between 1993 and 2018, is lower than the observed trend for the eastern Himalaya and Spiti Lahaul (Gardelle et al 2011;Nie et al 2017;Sharma et al 2018). Corresponding to the small size of the glaciers in the Trans-Himalayan region of Ladakh (Schmidt & Nüsser 2017), the glacial lakes are comparably small and only 6% are larger than 100,000 m 2 .…”
Section: Discussionsupporting
confidence: 68%
“…However, only after the GLOF of Dig Tsho, a glacial lake in the Khumbu region of Nepal in 1985 (Vuichard and Zimmermann 1987) was there a rise of scientific interest in glacial lake dynamics and potential risk of outburst floods in the Himalaya. Since then, various studies have analysed GLOF events (Allen et al 2016b;Ashraf et al 2012;Nie et al 2018) and their potential risk (Allen et al 2016a;Sharma et al 2018;Wang et al 2012) in different parts of the Hindu Kush-Karakoram-Himalaya (HKH). Contrary to the findings of Richardson and Reynolds (2000) that GLOF events have become more frequent, Komori et al (2012) and Veh et al (2019) could not detect an increase in GLOF events in the central and eastern Himalaya over the last few decades.…”
This article attempts to reconstruct the causes and consequences of the 2014 glacial lake outburst flood (GLOF) event in Gya, Ladakh. We analyse the evolution of the Gya glacial lake using a high temporal and high spatial resolution remote sensing approach. In order to frame the case study in a larger picture, we produce a comprehensive inventory of glacial lakes for the entire Trans-Himalayan region of Ladakh. Changes in the extent and number of glacial lakes have been detected for the years 1969, 1993, 2000/02 and 2018 in order to assess the potential risk of future GLOFs in the region. The remote sensing approach was supported by field surveys between 2014 and 2019. The case study of the Gya GLOF illustrates the problem of potentially hazardous lakes being overlooked in inventories. The broader analysis of the Ladakh region and in-depth analysis of one GLOF lead us to propose an integrated approach for detecting undocumented GLOFs. This article demonstrates the necessity for using multiple methods to ensure robustness of risk assessment. The improved understanding can lead to a more accurate evaluation of exposure to cryosphere hazards and identification of alternative mechanisms and spatial patterns of GLOFs in the Himalaya.
“…The change detection analyses show that the number and size of glacial lakes have increased since 1969, which is similar to the observed trend in the entire Himalayan region (Bolch et al 2019). The relative increase in the total glacial lake area, which amounts to 35% in the Trans-Himalayan region of Ladakh between 1993 and 2018, is lower than the observed trend for the eastern Himalaya and Spiti Lahaul (Gardelle et al 2011;Nie et al 2017;Sharma et al 2018). Corresponding to the small size of the glaciers in the Trans-Himalayan region of Ladakh (Schmidt & Nüsser 2017), the glacial lakes are comparably small and only 6% are larger than 100,000 m 2 .…”
Section: Discussionsupporting
confidence: 68%
“…However, only after the GLOF of Dig Tsho, a glacial lake in the Khumbu region of Nepal in 1985 (Vuichard and Zimmermann 1987) was there a rise of scientific interest in glacial lake dynamics and potential risk of outburst floods in the Himalaya. Since then, various studies have analysed GLOF events (Allen et al 2016b;Ashraf et al 2012;Nie et al 2018) and their potential risk (Allen et al 2016a;Sharma et al 2018;Wang et al 2012) in different parts of the Hindu Kush-Karakoram-Himalaya (HKH). Contrary to the findings of Richardson and Reynolds (2000) that GLOF events have become more frequent, Komori et al (2012) and Veh et al (2019) could not detect an increase in GLOF events in the central and eastern Himalaya over the last few decades.…”
This article attempts to reconstruct the causes and consequences of the 2014 glacial lake outburst flood (GLOF) event in Gya, Ladakh. We analyse the evolution of the Gya glacial lake using a high temporal and high spatial resolution remote sensing approach. In order to frame the case study in a larger picture, we produce a comprehensive inventory of glacial lakes for the entire Trans-Himalayan region of Ladakh. Changes in the extent and number of glacial lakes have been detected for the years 1969, 1993, 2000/02 and 2018 in order to assess the potential risk of future GLOFs in the region. The remote sensing approach was supported by field surveys between 2014 and 2019. The case study of the Gya GLOF illustrates the problem of potentially hazardous lakes being overlooked in inventories. The broader analysis of the Ladakh region and in-depth analysis of one GLOF lead us to propose an integrated approach for detecting undocumented GLOFs. This article demonstrates the necessity for using multiple methods to ensure robustness of risk assessment. The improved understanding can lead to a more accurate evaluation of exposure to cryosphere hazards and identification of alternative mechanisms and spatial patterns of GLOFs in the Himalaya.
“…However, we have tried to estimate the water volume of the lakes with area ≥ 0.2 square kilometer. These volume estimates are based on the equation given by Sharma et al (2018) for Himalayan glaciers.…”
Section: Glacial Lake Inventorymentioning
confidence: 99%
“…The Himalayan region is vast and field-based measurements are not humanly possible, hence remote sensing satellite data are generally used for the estimation of changes in glacial lake (Wessels et al 2002;Bajracharya et al 2007;Bolch et al 2008;Gardelle et al 2011). In this investigation, we have used the lake area for estimating the water volume using the empirical formula of Sharma et al (2018).…”
The trends of glacier lake evolution during the past few decades and their future development are still not well understood. The aim of the present study is to investigate the growth and changes in moraine and bed rock dammed glacier lakes of the Nubra and Shyok basin, Karakoram Range using multi-temporal satellite images. The glacier lake inventory is based on Landsat 7 and 8 (15 m spatial resolution), and Sentinels 2A (10 m spatial resolution) satellite imageries. The data revealed that during the years 2002-2017, the number of glacial lakes increased from 215 to 255. The glacial lake area also increased from ~ 9.0 km 2 in 2003 to ~ 9.36 km 2 in 2013 and ~ 11.27 km 2 in 2017. During 2002-2017, the lake area increased by ~ 2.27 km 2 , out of which ~ 1.9 km 2 increase is recorded between 2013 and 2017 accounts for almost 84% of the total increase. The lakes with an area of ≥ 0.2 km 2 have been considered for glacial lake outburst flood (GLOF) susceptibility studies and volume estimation. Analyses of the data show a progressive increase in number of glacial lakes and their areal extent. This study would help planners to minimize the adverse effects of GLOF in the Nubra-Shyok basin.
“…A considerable body of previous research has monitored in detail glacier retreat and corresponding lake growth both on local and basin-scale (Haritashya et al, 2018;Sharma et al, 2018;Somos-Valenzuela et al, 2014;Wang et al, 2015aWang et al, , 2018Watanabe et al, 2009;Xin et al, 2008). In this regard, the authors could use the introduction to clearly stress the novelty of their study by revealing questions and research gaps that remain from previous work.…”
Junfeng Wei et al. studied the interaction of a proglacial lake and its parent glacier (Longbasaba Glacier, Chinese Himalaya) from 1988 to 2018. Is a matter of ongoing debate among glaciologists whether and how much glacier lakes contribute to glacier mass loss, and vice versa, how much glacier melt adds to glacier lake growth. The manuscript thus addresses a relevant question within the scope of TC. Junfeng Wei et al. use recently published, freely available data sets, most of them being derived from the Landsat satellite, to monitor changes in lake area, glacier area, glacier flow velocity, and glacier elevation. They aim at quantifying the individual shares in the total glacier mass loss to estimate their contribution to the well-documented increase in lake volume. Though I highly acknowledge the authors' effort to split the mass loss
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