Articles | Volume 15, issue 8
https://doi.org/10.5194/tc-15-4145-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-4145-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Controls of outbursts of moraine-dammed lakes in the greater Himalayan region
Melanie Fischer
CORRESPONDING AUTHOR
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam, Germany
Oliver Korup
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam, Germany
Institute of Geosciences, University of Potsdam, 14476 Potsdam, Germany
Georg Veh
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam, Germany
Ariane Walz
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam, Germany
Related authors
Melanie Fischer, Jana Brettin, Sigrid Roessner, Ariane Walz, Monique Fort, and Oliver Korup
Nat. Hazards Earth Syst. Sci., 22, 3105–3123, https://doi.org/10.5194/nhess-22-3105-2022, https://doi.org/10.5194/nhess-22-3105-2022, 2022
Short summary
Short summary
Nepal’s second-largest city has been rapidly growing since the 1970s, although its valley has been affected by rare, catastrophic floods in recent and historic times. We analyse potential impacts of such floods on urban areas and infrastructure by modelling 10 physically plausible flood scenarios along Pokhara’s main river. We find that hydraulic effects would largely affect a number of squatter settlements, which have expanded rapidly towards the river by a factor of up to 20 since 2008.
Adam Emmer, Simon K. Allen, Mark Carey, Holger Frey, Christian Huggel, Oliver Korup, Martin Mergili, Ashim Sattar, Georg Veh, Thomas Y. Chen, Simon J. Cook, Mariana Correas-Gonzalez, Soumik Das, Alejandro Diaz Moreno, Fabian Drenkhan, Melanie Fischer, Walter W. Immerzeel, Eñaut Izagirre, Ramesh Chandra Joshi, Ioannis Kougkoulos, Riamsara Kuyakanon Knapp, Dongfeng Li, Ulfat Majeed, Stephanie Matti, Holly Moulton, Faezeh Nick, Valentine Piroton, Irfan Rashid, Masoom Reza, Anderson Ribeiro de Figueiredo, Christian Riveros, Finu Shrestha, Milan Shrestha, Jakob Steiner, Noah Walker-Crawford, Joanne L. Wood, and Jacob C. Yde
Nat. Hazards Earth Syst. Sci., 22, 3041–3061, https://doi.org/10.5194/nhess-22-3041-2022, https://doi.org/10.5194/nhess-22-3041-2022, 2022
Short summary
Short summary
Glacial lake outburst floods (GLOFs) have attracted increased research attention recently. In this work, we review GLOF research papers published between 2017 and 2021 and complement the analysis with research community insights gained from the 2021 GLOF conference we organized. The transdisciplinary character of the conference together with broad geographical coverage allowed us to identify progress, trends and challenges in GLOF research and outline future research needs and directions.
Oliver Korup, Lisa V. Luna, and Joaquin V. Ferrer
Nat. Hazards Earth Syst. Sci., 24, 3815–3832, https://doi.org/10.5194/nhess-24-3815-2024, https://doi.org/10.5194/nhess-24-3815-2024, 2024
Short summary
Short summary
Catalogues of mapped landslides are useful for learning and forecasting how frequently they occur in relation to their size. Yet, rare and large landslides remain mostly uncertain in statistical summaries of these catalogues. We propose a single, consistent method of comparing across different data sources and find that landslide statistics disclose more about subjective mapping choices than trigger types or environmental settings.
Amalie Skålevåg, Oliver Korup, and Axel Bronstert
Hydrol. Earth Syst. Sci., 28, 4771–4796, https://doi.org/10.5194/hess-28-4771-2024, https://doi.org/10.5194/hess-28-4771-2024, 2024
Short summary
Short summary
We present a cluster-based approach for inferring sediment discharge event types from suspended sediment concentration and streamflow. Applying it to a glacierised catchment, we find event magnitude and shape complexity to be the key characteristics separating event types, while hysteresis is less important. The four event types are attributed to compound rainfall–melt extremes, high snowmelt and glacier melt, freeze–thaw-modulated snow-melt and precipitation, and late-season glacier melt.
Natalie Lützow, Bretwood Higman, Martin Truffer, Bodo Bookhagen, Friedrich Knuth, Oliver Korup, Katie E. Hughes, Marten Geertsema, John J. Clague, and Georg Veh
EGUsphere, https://doi.org/10.5194/egusphere-2024-2812, https://doi.org/10.5194/egusphere-2024-2812, 2024
Short summary
Short summary
As the atmosphere warms, thinning glacier dams impound smaller lakes at their margins. Yet, some lakes deviate from this trend and have instead grown over time, increasing the risk of glacier floods to downstream populations and infrastructure. In this article, we examine the mechanisms behind the growth of an ice-dammed lake in Alaska. We find that the growth in size and outburst volumes is more controlled by glacier front downwaste, than by overall mass loss over the entire glacier surface.
Miaomiao Qi, Shiyin Liu, Yongpeng Gao, Fuming Xie, Georg Veh, Letian Xiao, Jinlong Jing, Yu Zhu, and Kunpeng Wu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-24, https://doi.org/10.5194/hess-2024-24, 2024
Revised manuscript under review for HESS
Short summary
Short summary
Here we propose a new mathematically robust and cost-effective model to improve glacial lake water storage estimation. We have also provided a dataset of measured water storage in glacial lakes through field depth measurements. Our model incorporates an automated calculation process and outperforms previous ones, achieving an average relative error of only 14 %. This research offers a valuable tool for researchers seeking to improve the risk assessment of glacial lake outburst floods.
Annette I. Patton, Lisa V. Luna, Joshua J. Roering, Aaron Jacobs, Oliver Korup, and Benjamin B. Mirus
Nat. Hazards Earth Syst. Sci., 23, 3261–3284, https://doi.org/10.5194/nhess-23-3261-2023, https://doi.org/10.5194/nhess-23-3261-2023, 2023
Short summary
Short summary
Landslide warning systems often use statistical models to predict landslides based on rainfall. They are typically trained on large datasets with many landslide occurrences, but in rural areas large datasets may not exist. In this study, we evaluate which statistical model types are best suited to predicting landslides and demonstrate that even a small landslide inventory (five storms) can be used to train useful models for landslide early warning when non-landslide events are also included.
Monika Pfau, Georg Veh, and Wolfgang Schwanghart
The Cryosphere, 17, 3535–3551, https://doi.org/10.5194/tc-17-3535-2023, https://doi.org/10.5194/tc-17-3535-2023, 2023
Short summary
Short summary
Cast shadows have been a recurring problem in remote sensing of glaciers. We show that the length of shadows from surrounding mountains can be used to detect gains or losses in glacier elevation.
Natalie Lützow, Georg Veh, and Oliver Korup
Earth Syst. Sci. Data, 15, 2983–3000, https://doi.org/10.5194/essd-15-2983-2023, https://doi.org/10.5194/essd-15-2983-2023, 2023
Short summary
Short summary
Glacier lake outburst floods (GLOFs) are a prominent natural hazard, and climate change may change their magnitude, frequency, and impacts. A global, literature-based GLOF inventory is introduced, entailing 3151 reported GLOFs. The reporting density varies temporally and regionally, with most cases occurring in NW North America. Since 1900, the number of yearly documented GLOFs has increased 6-fold. However, many GLOFs have incomplete records, and we call for a systematic reporting protocol.
Z. Xiong, D. Stober, M. Krstić, O. Korup, M. I. Arango, H. Li, and M. Werner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-5-W1-2023, 75–81, https://doi.org/10.5194/isprs-annals-X-5-W1-2023-75-2023, https://doi.org/10.5194/isprs-annals-X-5-W1-2023-75-2023, 2023
Melanie Fischer, Jana Brettin, Sigrid Roessner, Ariane Walz, Monique Fort, and Oliver Korup
Nat. Hazards Earth Syst. Sci., 22, 3105–3123, https://doi.org/10.5194/nhess-22-3105-2022, https://doi.org/10.5194/nhess-22-3105-2022, 2022
Short summary
Short summary
Nepal’s second-largest city has been rapidly growing since the 1970s, although its valley has been affected by rare, catastrophic floods in recent and historic times. We analyse potential impacts of such floods on urban areas and infrastructure by modelling 10 physically plausible flood scenarios along Pokhara’s main river. We find that hydraulic effects would largely affect a number of squatter settlements, which have expanded rapidly towards the river by a factor of up to 20 since 2008.
Adam Emmer, Simon K. Allen, Mark Carey, Holger Frey, Christian Huggel, Oliver Korup, Martin Mergili, Ashim Sattar, Georg Veh, Thomas Y. Chen, Simon J. Cook, Mariana Correas-Gonzalez, Soumik Das, Alejandro Diaz Moreno, Fabian Drenkhan, Melanie Fischer, Walter W. Immerzeel, Eñaut Izagirre, Ramesh Chandra Joshi, Ioannis Kougkoulos, Riamsara Kuyakanon Knapp, Dongfeng Li, Ulfat Majeed, Stephanie Matti, Holly Moulton, Faezeh Nick, Valentine Piroton, Irfan Rashid, Masoom Reza, Anderson Ribeiro de Figueiredo, Christian Riveros, Finu Shrestha, Milan Shrestha, Jakob Steiner, Noah Walker-Crawford, Joanne L. Wood, and Jacob C. Yde
Nat. Hazards Earth Syst. Sci., 22, 3041–3061, https://doi.org/10.5194/nhess-22-3041-2022, https://doi.org/10.5194/nhess-22-3041-2022, 2022
Short summary
Short summary
Glacial lake outburst floods (GLOFs) have attracted increased research attention recently. In this work, we review GLOF research papers published between 2017 and 2021 and complement the analysis with research community insights gained from the 2021 GLOF conference we organized. The transdisciplinary character of the conference together with broad geographical coverage allowed us to identify progress, trends and challenges in GLOF research and outline future research needs and directions.
Guilherme S. Mohor, Annegret H. Thieken, and Oliver Korup
Nat. Hazards Earth Syst. Sci., 21, 1599–1614, https://doi.org/10.5194/nhess-21-1599-2021, https://doi.org/10.5194/nhess-21-1599-2021, 2021
Short summary
Short summary
We explored differences in the damaging process across different flood types, regions within Germany, and six flood events through a numerical model in which the groups can learn from each other. Differences were found mostly across flood types, indicating the importance of identifying them, but there is great overlap across regions and flood events, indicating either that socioeconomic or temporal information was not well represented or that they are in fact less different within our cases.
Sebastian von Specht, Ugur Ozturk, Georg Veh, Fabrice Cotton, and Oliver Korup
Solid Earth, 10, 463–486, https://doi.org/10.5194/se-10-463-2019, https://doi.org/10.5194/se-10-463-2019, 2019
Short summary
Short summary
We show the landslide response to the 2016 Kumamoto earthquake (Mw 7.1) in central Kyushu (Japan). Landslides are concentrated to the northeast of the rupture, coinciding with the propagation direction of the earthquake. This azimuthal variation in the landslide concentration is linked to the seismic rupture process itself and not to classical landslide susceptibility factors. We propose a new ground-motion model that links the seismic radiation pattern with the landslide distribution.
Karolina Korzeniowska, Yves Bühler, Mauro Marty, and Oliver Korup
Nat. Hazards Earth Syst. Sci., 17, 1823–1836, https://doi.org/10.5194/nhess-17-1823-2017, https://doi.org/10.5194/nhess-17-1823-2017, 2017
Short summary
Short summary
In this study, we have focused on automatically detecting avalanches and classifying them into release zones, tracks, and run-out zones based on aerial imagery using an object-based image analysis (OBIA) approach. We compared the results with manually mapped avalanche polygons, and obtained a user’s accuracy of > 0.9 and a Cohen’s kappa of 0.79–0.85. Testing the method for a larger area of 226.3 km2, we estimated producer’s and user’s accuracies of 0.61 and 0.78, respectively.
Fanny Langerwisch, Ariane Walz, Anja Rammig, Britta Tietjen, Kirsten Thonicke, and Wolfgang Cramer
Earth Syst. Dynam., 7, 953–968, https://doi.org/10.5194/esd-7-953-2016, https://doi.org/10.5194/esd-7-953-2016, 2016
Short summary
Short summary
Amazonia is heavily impacted by climate change and deforestation. During annual flooding terrigenous material is imported to the river, converted and finally exported to the ocean or the atmosphere. Changes in the vegetation alter therefore riverine carbon dynamics. Our results show that due to deforestation organic carbon amount will strongly decrease both in the river and exported to the ocean, while inorganic carbon amounts will increase, in the river as well as exported to the atmosphere.
F. Langerwisch, A. Walz, A. Rammig, B. Tietjen, K. Thonicke, and W. Cramer
Earth Syst. Dynam., 7, 559–582, https://doi.org/10.5194/esd-7-559-2016, https://doi.org/10.5194/esd-7-559-2016, 2016
Short summary
Short summary
In Amazonia, carbon fluxes are considerably influenced by annual flooding. We applied the newly developed model RivCM to several climate change scenarios to estimate potential changes in riverine carbon. We find that climate change causes substantial changes in riverine organic and inorganic carbon, as well as changes in carbon exported to the atmosphere and ocean. Such changes could have local and regional impacts on the carbon budget of the whole Amazon basin and parts of the Atlantic Ocean.
N. K. Meyer, W. Schwanghart, O. Korup, and F. Nadim
Nat. Hazards Earth Syst. Sci., 15, 985–995, https://doi.org/10.5194/nhess-15-985-2015, https://doi.org/10.5194/nhess-15-985-2015, 2015
Short summary
Short summary
In the past decades the importance of and reliance on all kinds of transport networks has grown extensively making them more vulnerable to any kind of hazard. The linear structure of road networks is especially sensitive to debris flows, a process frequently occurring in the mountainous area of Norway. The paper quantifies the functional risk associated with these processes. The results reveal that the costs related to route closures are strongly related to the information status of drivers.
O. Korup and C. Rixen
The Cryosphere, 8, 651–658, https://doi.org/10.5194/tc-8-651-2014, https://doi.org/10.5194/tc-8-651-2014, 2014
C. H. Mohr, A. Zimmermann, O. Korup, A. Iroumé, T. Francke, and A. Bronstert
Earth Surf. Dynam., 2, 117–125, https://doi.org/10.5194/esurf-2-117-2014, https://doi.org/10.5194/esurf-2-117-2014, 2014
Related subject area
Discipline: Glaciers | Subject: Natural Hazards
Refining lake volume estimation and critical depth identification for enhanced glacial lake outburst flood (GLOF) event anticipation
Brief communication: Rapid ∼ 335 × 106 m3 bed erosion after detachment of the Sedongpu Glacier (Tibet)
Lake volume and potential hazards of moraine-dammed glacial lakes – a case study of Bienong Co, southeastern Tibetan Plateau
Brief communication: An approximately 50 Mm3 ice-rock avalanche on 22 March 2021 in the Sedongpu valley, southeastern Tibetan Plateau
Sudden large-volume detachments of low-angle mountain glaciers – more frequent than thought?
Response of downstream lakes to Aru glacier collapses on the western Tibetan Plateau
Brief communication: Collapse of 4 Mm3 of ice from a cirque glacier in the Central Andes of Argentina
Mechanisms leading to the 2016 giant twin glacier collapses, Aru Range, Tibet
Nazir Ahmed Bazai, Paul A. Carling, Peng Cui, Wang Hao, Zhang Guotao, Liu Dingzhu, and Javed Hassan
The Cryosphere, 18, 5921–5938, https://doi.org/10.5194/tc-18-5921-2024, https://doi.org/10.5194/tc-18-5921-2024, 2024
Short summary
Short summary
We explored the growing threat of glacier lake outburst floods (GLOFs) driven by glacier surges in the Karakoram. Using advanced remote sensing and field data, we identified key lake volumes and depths that indicate potential GLOFs. Our findings improve early warning systems by providing rapid methods to assess lake volumes in remote areas. This research seeks to protect vulnerable communities and contribute to global efforts in predicting and mitigating catastrophic flood risks.
Andreas Kääb and Luc Girod
The Cryosphere, 17, 2533–2541, https://doi.org/10.5194/tc-17-2533-2023, https://doi.org/10.5194/tc-17-2533-2023, 2023
Short summary
Short summary
Following the detachment of the 130 × 106 m3 Sedongpu Glacier (south-eastern Tibet) in 2018, the Sedongpu Valley underwent massive large-volume landscape changes. An enormous volume of in total around 330 × 106 m3 was rapidly eroded, forming a new canyon of up to 300 m depth, 1 km width, and almost 4 km length. Such consequences of glacier change in mountains have so far not been considered at this magnitude and speed.
Hongyu Duan, Xiaojun Yao, Yuan Zhang, Huian Jin, Qi Wang, Zhishui Du, Jiayu Hu, Bin Wang, and Qianxun Wang
The Cryosphere, 17, 591–616, https://doi.org/10.5194/tc-17-591-2023, https://doi.org/10.5194/tc-17-591-2023, 2023
Short summary
Short summary
We conducted a comprehensive investigation of Bienong Co, a moraine-dammed glacial lake on the southeastern Tibetan Plateau (SETP), to assess its potential hazards. The maximum lake depth is ~181 m, and the lake volume is ~102.3 × 106 m3. Bienong Co is the deepest known glacial lake with the same surface area on the Tibetan Plateau. Ice avalanches may produce glacial lake outburst floods that threaten the downstream area. This study could provide new insight into glacial lakes on the SETP.
Chuanxi Zhao, Wei Yang, Matthew Westoby, Baosheng An, Guangjian Wu, Weicai Wang, Zhongyan Wang, Yongjie Wang, and Stuart Dunning
The Cryosphere, 16, 1333–1340, https://doi.org/10.5194/tc-16-1333-2022, https://doi.org/10.5194/tc-16-1333-2022, 2022
Short summary
Short summary
On 22 March 2021, a ~ 50 Mm 3 ice-rock avalanche occurred from 6500 m a.s.l. in the Sedongpu basin, southeastern Tibet. It caused temporary blockage of the Yarlung Tsangpo river, a major tributary of the Brahmaputra. We utilize field investigations, high-resolution satellite imagery, seismic records, and meteorological data to analyse the evolution of the 2021 event and its impact, discuss potential drivers, and briefly reflect on implications for the sustainable development of the region.
Andreas Kääb, Mylène Jacquemart, Adrien Gilbert, Silvan Leinss, Luc Girod, Christian Huggel, Daniel Falaschi, Felipe Ugalde, Dmitry Petrakov, Sergey Chernomorets, Mikhail Dokukin, Frank Paul, Simon Gascoin, Etienne Berthier, and Jeffrey S. Kargel
The Cryosphere, 15, 1751–1785, https://doi.org/10.5194/tc-15-1751-2021, https://doi.org/10.5194/tc-15-1751-2021, 2021
Short summary
Short summary
Hardly recognized so far, giant catastrophic detachments of glaciers are a rare but great potential for loss of lives and massive damage in mountain regions. Several of the events compiled in our study involve volumes (up to 100 million m3 and more), avalanche speeds (up to 300 km/h), and reaches (tens of kilometres) that are hard to imagine. We show that current climate change is able to enhance associated hazards. For the first time, we elaborate a set of factors that could cause these events.
Yanbin Lei, Tandong Yao, Lide Tian, Yongwei Sheng, Lazhu, Jingjuan Liao, Huabiao Zhao, Wei Yang, Kun Yang, Etienne Berthier, Fanny Brun, Yang Gao, Meilin Zhu, and Guangjian Wu
The Cryosphere, 15, 199–214, https://doi.org/10.5194/tc-15-199-2021, https://doi.org/10.5194/tc-15-199-2021, 2021
Short summary
Short summary
Two glaciers in the Aru range, western Tibetan Plateau (TP), collapsed suddenly on 17 July and 21 September 2016, respectively, causing fatal damage to local people and their livestock. The impact of the glacier collapses on the two downstream lakes (i.e., Aru Co and Memar Co) is investigated in terms of lake morphology, water level and water temperature. Our results provide a baseline in understanding the future lake response to glacier melting on the TP under a warming climate.
Daniel Falaschi, Andreas Kääb, Frank Paul, Takeo Tadono, Juan Antonio Rivera, and Luis Eduardo Lenzano
The Cryosphere, 13, 997–1004, https://doi.org/10.5194/tc-13-997-2019, https://doi.org/10.5194/tc-13-997-2019, 2019
Short summary
Short summary
In March 2007, the Leñas Glacier in the Central Andes of Argentina collapsed and released an ice avalanche that travelled a distance of 2 km. We analysed aerial photos, satellite images and field evidence to investigate the evolution of the glacier from the 1950s through the present day. A clear potential trigger of the collapse could not be identified from available meteorological and seismic data, nor could a significant change in glacier geometry leading to glacier instability be detected.
Adrien Gilbert, Silvan Leinss, Jeffrey Kargel, Andreas Kääb, Simon Gascoin, Gregory Leonard, Etienne Berthier, Alina Karki, and Tandong Yao
The Cryosphere, 12, 2883–2900, https://doi.org/10.5194/tc-12-2883-2018, https://doi.org/10.5194/tc-12-2883-2018, 2018
Short summary
Short summary
In Tibet, two glaciers suddenly collapsed in summer 2016 and produced two gigantic ice avalanches, killing nine people. This kind of phenomenon is extremely rare. By combining a detailed modelling study and high-resolution satellite observations, we show that the event was triggered by an increasing meltwater supply in the fine-grained material underneath the two glaciers. Contrary to what is often thought, this event is not linked to a change in the thermal condition at the glacier base.
Cited articles
Aggarwal, A., Jain, S. K., Lohani, A. K., and Jain, N.:
Glacial lake outburst flood risk assessment using combined approaches of remote sensing, GIS and dam break modelling,
Geomat. Nat. Haz. Risk,
7, 18–36, https://doi.org/10.1080/19475705.2013.862573, 2016.
Allen, S. K., Rastner, P., Arora, M., Huggel, C., and Stoffel, M.:
Lake outburst and debris flow disaster at Kedarnath, June 2013: hydrometeorological triggering and topographic predisposition,
Landslides,
13, 1479–1491, https://doi.org/10.1007/s10346-015-0584-3, 2016.
Allen, S. K., Zhang, G., Wang, W., Yao, T., and Bolch, T.:
Potentially dangerous glacial lakes across the Tibetan Plateau revealed using a large-scale automated assessment approach,
Sci. Bull.,
64, 435–445, https://doi.org/10.1016/j.scib.2019.03.011, 2019.
Austin, P. C., Tu, J. V., and Alter, D. A.:
Comparing hierarchical modeling with traditional logistic regression analysis among patients hospitalized with acute myocardial infarction: Should we be analyzing cardiovascular outcomes data differently?,
Am. Heart J.,
145, 27–35, https://doi.org/10.1067/mhj.2003.23, 2003.
Bajracharya, S. R. and Shrestha, B.:
The Status of Glaciers in the Hindu Kush–Himalayan Region, International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, 2011.
Blöthe, J. H., Rosenwinkel, S., Höser, T., and Korup, O.:
Rock-glacier dams in High Asia,
Earth Surf. Proc. Land.,
44, 808–824, https://doi.org/10.1002/esp.4532, 2019.
Bolch, T., Peters, J., Yegorov, A., Pradhan, B., Buchroithner, M., and Blagoveshchensky, V.:
Identification of potentially dangerous glacial lakes in the northern Tien Shan,
Nat. Hazards,
59, 1691–1714, https://doi.org/10.1007/s11069-011-9860-2, 2011.
Bolch, T., Shea, J. M., Liu, S., Azam, F. M., Gao, Y., Gruber, S., Immerzeel, W. W., Kulkarni, A., Li, H., Tahir, A. A., Zhang, G., and Zhang, Y.:
Status and Change of the Cryosphere in the Extended Hindu Kush Himalaya Region, in The Hindu Kush Himalaya Assessment: Mountains, Climate Change, Sustainability and People, edited by P. Wester, A. Mishra, A. Mukherji, and A. B. Shrestha, pp. 209–255, Springer International Publishing, Cham., 2019.
Bookhagen, B. and Burbank, D. W.:
Toward a complete Himalayan hydrological budget: Spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge, J. Geophys. Res. Earth Surf., 115, 1–25, https://doi.org/10.1029/2009JF001426, 2010.
Brun, F., Berthier, E., Wagnon, P., Kääb, A., and Treichler, D.:
A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016, Nat. Geosci., 10, 668–673, https://doi.org/10.1038/ngeo2999, 2017.
Bürkner, P.-C.:
brms: An R package for Bayesian multilevel models using Stan, J. Stat. Softw., 80, 1–28, https://doi.org/10.18637/jss.v080.i01, 2017.
Caniani, D., Pascale, S., Sdao, F., and Sole, A.:
Neural networks and landslide susceptibility: A case study of the urban area of Potenza,
Nat. Hazards,
45, 55–72, https://doi.org/10.1007/s11069-007-9169-3, 2008.
Carrivick, J. L. and Tweed, F. S.:
A global assessment of the societal impacts of glacier outburst floods,
Global Planet. Change,
144, 1–16, https://doi.org/10.1016/j.gloplacha.2016.07.001, 2016.
Cenderelli, D. A. and Wohl, E. E.:
Flow hydraulics and geomorphic effects of glacial-lake outburst floods in the Mount Everest region, Nepal,
Earth Surf. Proc. Land.,
28, 385–407, https://doi.org/10.1002/esp.448, 2003.
Chen, F., Zhang, M., Guo, H., Allen, S., Kargel, J. S., Haritashya, U. K., and Watson, C. S.: Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017, Earth Syst. Sci. Data, 13, 741–766, https://doi.org/10.5194/essd-13-741-2021, 2021.
Cook, K. L., Andermann, C., Gimbert, F., Adhikari, B. R., and Hovius, N.:
Glacial lake outburst floods as drivers of fluvial erosion in the Himalaya,
Science,
362, 53–57, https://doi.org/10.1126/science.aat4981, 2018.
Costa, J. E. and Schuster, R. L.:
The Formation and Failure of Natural Dams,
U.S. Geological Survey (USGS), Vancouver, 1987.
Dehecq, A., Gourmelen, N., Gardner, A. S., Brun, F., Goldberg, D., Nienow, P. W., Berthier, E., Vincent, C., Wagnon, P., and Trouvé, E.:
Twenty-first century glacier slowdown driven by mass loss in High Mountain Asia,
Nat. Geosci.,
12, 22–27, https://doi.org/10.1038/s41561-018-0271-9, 2019.
Dinov, I. D.:
Data science and predictive analytics: Biomedical and health applications using R,
Springer, Cham, 2018.
Dubey, S. and Goyal, M. K.:
Glacial Lake Outburst Flood Hazard, Downstream Impact, and Risk Over the Indian Himalayas,
Water Resour. Res.,
56, 1–21, https://doi.org/10.1029/2019WR026533, 2020.
Emmer, A.:
Glacier Retreat and Glacial Lake Outburst Floods (GLOFs),
Oxford Res. Encycl. Nat. Hazard Sci.,
1–37, https://doi.org/10.1093/acrefore/9780199389407.013.275, 2017.
Emmer, A. and Vilímek, V.: Review Article: Lake and breach hazard assessment for moraine-dammed lakes: an example from the Cordillera Blanca (Peru), Nat. Hazards Earth Syst. Sci., 13, 1551–1565, https://doi.org/10.5194/nhess-13-1551-2013, 2013.
Emmer, A. and Vilímek, V.: New method for assessing the susceptibility of glacial lakes to outburst floods in the Cordillera Blanca, Peru, Hydrol. Earth Syst. Sci., 18, 3461–3479, https://doi.org/10.5194/hess-18-3461-2014, 2014.
Emmer, A., Klimeš, J., Mergili, M., Vilímek, V., and Cochachin, A.:
882 lakes of the Cordillera Blanca: An inventory, classification, evolution and assessment of susceptibility to outburst floods,
Catena,
147, 269–279, https://doi.org/10.1016/j.catena.2016.07.032, 2016.
Etzelmüller, B. and Frauenfelder, R.:
Factors controlling the distribution of mountain permafrost in the northern hemisphere and their influence on sediment transfer,
Arct. Antarct. Alp. Res.,
41, 48–58, https://doi.org/10.1657/1523-0430-41.1.48, 2009.
Evans, S. G. and Clague, J. J.:
Recent climatic change and catastrophic geomorphic processes in mountain environments,
Geomorphology,
10, 107–128, https://doi.org/10.1016/0169-555X(94)90011-6, 1994.
Falah, F., Rahmati, O., Rostami, M., Ahmadisharaf, E., Daliakopoulos, I. N., and Pourghasemi, H. R.:
Artificial Neural Networks for Flood Susceptibility Mapping in Data-Scarce Urban Areas,
in: Spatial Modeling in GIS and R for Earth and Environmental Sciences,
edited by: Pourghasemi, H. R. and Gokceoglu, C.,
Elsevier, Amsterdam, pp. 323–336, 2019.
Fischer, M., Korup, O., Veh, G., and Walz, A.:
GLOFsusceptibility: First release of the GLOF susceptibility model (Version v.1.0),
Zenodo,
https://doi.org/10.5281/zenodo.4161577, 2020.
Fujita, K., Suzuki, R., Nuimura, T., and Sakai, A.:
Performance of ASTER and SRTM DEMs, and their potential for assessing glacial lakes in the Lunana region, Bhutan Himalaya,
J. Glaciol.,
54, 220–228, https://doi.org/10.3189/002214308784886162, 2008.
GAPHAZ:
Assessment of Glacier and Permafrost Hazards in Mountain Regions: Technical Guidance Document,
Standing Group on Glacier and Permafrost Hazards in Mountains (GAPHAZ) of the International Association of Cryospheric Sciences (IACS) and the International Permafrost Association (IPA), Zürich, Lima, 2017.
Gelman, A.:
Prior distributions for variance parameters in hierarchical models,
Bayesian Anal.,
1, 515–533, https://doi.org/10.1002/cjs.5550340302, 2006.
Gelman, A. and Hill, J.:
Data Analysis using Regression and Multilevel/Hierarchical Models,
Cambridge University Press, New York, 2007.
Gelman, A., Jakulin, A., Pittau, M. G., and Su, Y. S.:
A weakly informative default prior distribution for logistic and other regression models,
Ann. Appl. Stat.,
2, 1360–1383, https://doi.org/10.1214/08-AOAS191, 2008.
Haeberli, W., Schaub, Y., and Huggel, C.:
Increasing risks related to landslides from degrading permafrost into new lakes in de-glaciating mountain ranges,
Geomorphology,
293, 405–417, https://doi.org/10.1016/j.geomorph.2016.02.009, 2017.
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., and Jarvis, A.:
Very high resolution interpolated climate surfaces for global land areas,
Int. J. Climatol.,
25, 1965–1978, https://doi.org/10.1002/joc.1276, 2005.
Hille Ris Lambers, J., Aukema, B., Diez, J., Evans, M., and Latimer, A.:
Effects of global change on inflorescence production: a Bayesian hierarchical analysis, in Hierarchical Modelling for the Environmental Sciences – Statistical Methods and Applications,
edited by: Clark, J. S. and Gelfand, A. E.,
Oxford University Press North Carolina, Cary., 59–76, 2006.
Hock, R., Rasul, G., Adler, C., Cáceres, B., Gruber, S., Hirabayashi, Y., Jackson, M., Kääb, A., Kang, S., Kutuzov, S., Milner, A., Molau, U., Morin, S., Orlove, B., and Steltzer, H. I.: High Mountain Areas, in: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, edited by: Pörtner, H.-O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., Weyer, N. M., Intergovernmental Panel on Climate Change (IPCC), Genf, 131–202, 2019.
Huggel, C., Kääb, A., Haeberli, W., Teysseire, P., and Paul, F.:
Remote sensing based assessment of hazards from glacier lake outbursts: a case study in the Swiss Alps,
Can. Geotech. J.,
39, 316–330, https://doi.org/10.1139/t01-099, 2002.
Huggel, C., Haeberli, W., Kääb, A., Bieri, D., and Richardson, S.:
An assessment procedure for glacial hazards in the Swiss Alps,
Can. Geotech. J.,
41, 1068–1083, https://doi.org/10.1139/T04-053, 2004.
Iribarren Anacona, P., Norton, K. P., and Mackintosh, A.: Moraine-dammed lake failures in Patagonia and assessment of outburst susceptibility in the Baker Basin, Nat. Hazards Earth Syst. Sci., 14, 3243–3259, https://doi.org/10.5194/nhess-14-3243-2014, 2014.
Iturrizaga, L.:
Glacier Lake Outburst Floods,
in: Encyclopedia of Snow, Ice and Glaciers,
edited by: Singh, V. P., Singh, P., and Haritashya, U. K.,
Springer Netherlands, Dodrecht, pp. 381–399, 2011.
Ives, J. D., Shrestha, R. B., and Mool, P. K.:
Formation of Glacial Lakes in the Hindu Kush-Himalayas and GLOF Risk Assessment,
International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, 2010.
Kalantar, B., Pradhan, B., Naghibi, S. A., Motevalli, A., and Mansor, S.:
Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN),
Geomat. Nat. Haz. Risk,
9, 49–69, https://doi.org/10.1080/19475705.2017.1407368, 2018.
Kapnick, S. B., Delworth, T. L., Ashfaq, M., Malyshev, S., and Milly, P. C. D.:
Snowfall less sensitive to warming in Karakoram than in Himalayas due to a unique seasonal cycle,
Nat. Geosci.,
7, 834–840, https://doi.org/10.1038/ngeo2269, 2014.
Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., and Kessler, M.:
Climatologies at high resolution for the earth's land surface areas,
Sci. Data,
4, 1–20, https://doi.org/10.1038/sdata.2017.122, 2017.
Khadka, N., Chen, X., Nie, Y., Thakuri, S., and Zheng, G.:
Evaluation of Glacial Lake Outburst Flood Susceptibility Using Multi-Criteria Assessment Framework in Mahalangur Himalaya,
Front. Earth Sci.,
8, 1–16, https://doi.org/10.3389/feart.2020.601288, 2021.
King, O., Bhattacharya, A., Bhambri, R., and Bolch, T.:
Glacial lakes exacerbate Himalayan glacier mass loss,
Sci. Rep.-UK,
9, 1–9, https://doi.org/10.1038/s41598-019-53733-x, 2019.
Koike, T. and Takenaka, S.:
Scenario Analysis on Risks of Glacial Lake Outburst Floods on the Mangde Chhu River, Bhutan,
Glob. Environ. Res.,
16, 41–49, 2012.
Kougkoulos, I., Cook, S. J., Jomelli, V., Clarke, L., Symeonakis, E., Dortch, J. M., Edwards, L. A., and Merad, M.:
Use of multi-criteria decision analysis to identify potentially dangerous glacial lakes,
Sci. Total Environ.,
621, 1453–1466, https://doi.org/10.1016/j.scitotenv.2017.10.083, 2018.
Kraaijenbrink, P. D. A., Bierkens, M. F. P., Lutz, A. F., and Immerzeel, W. W.:
Impact of a global temperature rise of 1.5 degrees Celsius on Asia's glaciers,
Nature,
549, 257–260, https://doi.org/10.1038/nature23878, 2017.
Krishnan, R., Shrestha, A. B., Ren, G., Rajbhandari, R., Saeed, S., Sanjay, J., Syed, M. A., Vellore, R., Xu, Y., You, Q., and Ren, Y.:
Unravelling Climate Change in the Hindu Kush Himalaya: Rapid Warming in the Mountains and Increasing Extremes,
in: The Hindu Kush Himalaya Assessment: Mountains, Climate Change, Sustainability and People,
edited by: Wester, P., Mishra, A., Mukherji, A., and Shrestha, A. B.,
Springer International Publishing, Cham, pp. 57–97, 2019.
Kruschke, J. K. and Liddell, T. M.:
Bayesian data analysis for newcomers,
Psychon. B. Rev.,
25, 155–177, https://doi.org/10.3758/s13423-017-1272-1, 2018.
Liu, J. J., Cheng, Z. L., and Su, P. C.:
The relationship between air temperature fluctuation and Glacial Lake Outburst Floods in Tibet, China,
Quatern. Int.,
321, 78–87, https://doi.org/10.1016/j.quaint.2013.11.023, 2014.
Maharjan, S. B., Mool, P. K., Lizong, W., Xiao, G., Shrestha, F., Shrestha, R. B., Khanal, N. R., Bajracharya, S. R., Joshi, S., Shai, S., and Baral, P.:
The Status of Glacial Lakes in the Hindu Kush Himalaya,
International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, 2018.
Maurer, J. M., Schaefer, J. M., Rupper, S., and Corley, A.:
Acceleration of ice loss across the Himalayas over the past 40 years,
Science Advances,
5, eaav7266, https://doi.org/10.1126/sciadv.aav7266, 2019.
McKillop, R. J. and Clague, J. J.:
Statistical, remote sensing-based approach for estimating the probability of catastrophic drainage from moraine-dammed lakes in southwestern British Columbia,
Global Planet. Change,
56, 153–171, https://doi.org/10.1016/j.gloplacha.2006.07.004, 2007.
Mergili, M. and Schneider, J. F.: Regional-scale analysis of lake outburst hazards in the southwestern Pamir, Tajikistan, based on remote sensing and GIS, Nat. Hazards Earth Syst. Sci., 11, 1447–1462, https://doi.org/10.5194/nhess-11-1447-2011, 2011.
Molden, D. J., Vaidya, R. A., Shrestha, A. B., Rasul, G., and Shrestha, M. S.:
Water infrastructure for the Hindu Kush Himalayas,
Int. J. Water Resour. D.,
30, 60–77, https://doi.org/10.1080/07900627.2013.859044, 2014.
Mool, P. K., Maskey, P. R., Koirala, A., Joshi, S. P., Wu, L., Shrestha, A. B., Eriksson, M., Gurung, B., Pokharel, B., Khanal, N. R., Panthi, S., Adhikari, T., Kayastha, R. B., Ghimire, P., Thapa, R., Shrestha, B., Shrestha, S., and Shrestha, R. B.:
Glacial Lakes and Glacial Lake Outburst Floods in Nepal,
International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, 2011.
Mukul, M., Srivastava, V., Jade, S., and Mukul, M.:
Uncertainties in the Shuttle Radar Topography Mission (SRTM) Heights: Insights from the Indian Himalaya and Peninsula,
Sci. Rep.-UK,
7, 1–10, https://doi.org/10.1038/srep41672, 2017.
Nalborczyk, L., Batailler, C., Loevenbruck, H., Vilain, A., and Bürkner, P. C.:
An introduction to bayesian multilevel models using brms: A case study of gender effects on vowel variability in standard Indonesian,
J. Speech Lang. Hear. R.,
62, 1225–1242, https://doi.org/10.1044/2018_JSLHR-S-18-0006, 2019.
Nie, Y., Sheng, Y., Liu, Q., Liu, L., Liu, S., Zhang, Y., and Song, C.:
A regional-scale assessment of Himalayan glacial lake changes using satellite observations from 1990 to 2015,
Remote Sens. Environ.,
189, 1–13, https://doi.org/10.1016/j.rse.2016.11.008, 2017.
Nie, Y., Liu, Q., Wang, J., Zhang, Y., Sheng, Y., and Liu, S.:
An inventory of historical glacial lake outburst floods in the Himalayas based on remote sensing observations and geomorphological analysis,
Geomorphology,
308, 91–106, https://doi.org/10.1016/j.geomorph.2018.02.002, 2018.
Palazzi, E., von Hardenberg, J., and Provenzale, A.:
Precipitation in the Hindu-Kush Karakoram Himalaya: Observations and future scenarios,
J. Geophys. Res.-Atmos.,
118, 85–100, https://doi.org/10.1029/2012JD018697, 2013.
Palazzi, E., Filippi, L., and von Hardenberg, J.:
Insights into elevation-dependent warming in the Tibetan Plateau-Himalayas from CMIP5 model simulations,
Clim. Dynam.,
48, 3991–4008, https://doi.org/10.1007/s00382-016-3316-z, 2017.
Pepin, N., Bradley, R. S., Diaz, H. F., Baraer, M., Caceres, E. B., Forsythe, N., Fowler, H., Greenwood, G., Hashmi, M. Z., Liu, X. D., Miller, J. R., Ning, L., Ohmura, A., Palazzi, E., Rangwala, I., Schöner, W., Severskiy, I., Shahgedanova, M., Wang, M. B., Williamson, S. N., and Yang, D. Q.:
Elevation-dependent warming in mountain regions of the world,
Nat. Clim. Change,
5, 424–430, https://doi.org/10.1038/nclimate2563, 2015.
Prakash, C. and Nagarajan, R.:
Outburst susceptibility assessment of moraine-dammed lakes in Western Himalaya using an analytic hierarchy process,
Earth Surf. Proc. Land.,
42, 2306–2321, https://doi.org/10.1002/esp.4185, 2017.
Rangwala, I. and Miller, J. R.:
Climate change in mountains: A review of elevation-dependent warming and its possible causes,
Climatic Change,
114, 527–547, https://doi.org/10.1007/s10584-012-0419-3, 2012.
RGI Consortium: Randolph Glacier Inventory – A Dataset of Global Glacier Outlines: Version 6.0: Technical Report, Global Land Ice Measurements from Space (GLIM), Boulder., 2017.
Richardson, S. D. and Reynolds, J. M.:
An overview of glacial hazards in the Himalayas,
Quatern. Int.,
65/66, 31–47, https://doi.org/10.1016/S1040-6182(99)00035-X, 2000.
Rolland, C.:
Spatial and seasonal variations of air temperature lapse rates in alpine regions,
J. Climate,
16, 1032–1046, https://doi.org/10.1175/1520-0442(2003)016<1032:SASVOA>2.0.CO;2, 2003.
Rounce, D. R., McKinney, D. C., Lala, J. M., Byers, A. C., and Watson, C. S.: A new remote hazard and risk assessment framework for glacial lakes in the Nepal Himalaya, Hydrol. Earth Syst. Sci., 20, 3455–3475, https://doi.org/10.5194/hess-20-3455-2016, 2016.
Saito, T. and Rehmsmeier, M.:
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets,
PLoS One,
10, 1–25, https://doi.org/10.1371/journal.pone.0118432, 2015.
Shor, B., Bafumi, J., Keele, L., and Park, D.:
A Bayesian multilevel modeling approach to time-series cross-sectional data,
Polit. Anal.,
15, 165–181, https://doi.org/10.1093/pan/mpm006, 2007.
Somos-Valenzuela, M. A., McKinney, D. C., Byers, A. C., Voss, K., Moss, J., and McKinney, J. C.:
Ground Penetrating Radar Survey for Risk Reduction at Imja Lake, Nepal,
Center for Research in Water Resources (CRWR), Austin,
available at: http://hdl.handle.net/2152/19751 (last access: 30 October 2020), 2012.
Somos-Valenzuela, M. A., McKinney, D. C., Byers, A. C., Rounce, D. R., Portocarrero, C., and Lamsal, D.: Assessing downstream flood impacts due to a potential GLOF from Imja Tsho in Nepal, Hydrol. Earth Syst. Sci., 19, 1401–1412, https://doi.org/10.5194/hess-19-1401-2015, 2015.
Stegmueller, D.:
How many countries for multilevel modeling? A comparison of frequentist and bayesian approaches,
Am. J. Polit. Sci.,
57, 748–761, https://doi.org/10.1111/ajps.12001, 2013.
Taalab, K., Cheng, T., and Zhang, Y.:
Mapping landslide susceptibility and types using Random Forest,
Big Earth Data,
2, 159–178, https://doi.org/10.1080/20964471.2018.1472392, 2018.
Terzago, S., von Hardenberg, J., Palazzi, E., and Provenzale, A.:
Snowpack Changes in the Hindu Kush–Karakoram–Himalaya from CMIP5 Global Climate Models,
J. Hydrometeorol.,
15, 2293–2313, https://doi.org/10.1175/JHM-D-13-0196.1, 2014.
Tudoroiu, M., Eccel, E., Gioli, B., Gianelle, D., Schume, H., Genesio, L., and Miglietta, F.:
Negative elevation-dependent warming trend in the Eastern Alps,
Environ. Res. Lett.,
11, 044021, https://doi.org/10.1088/1748-9326/11/4/044021, 2016.
van Dongen, S.:
Prior specification in Bayesian statistics: Three cautionary tales,
J. Theor. Biol.,
242, 90–100, https://doi.org/10.1016/j.jtbi.2006.02.002, 2006.
Veh, G., Korup, O., Roessner, S., and Walz, A.:
Detecting Himalayan glacial lake outburst floods from Landsat time series,
Remote Sens. Environ.,
207, 84–97, https://doi.org/10.1016/j.rse.2017.12.025, 2018.
Veh, G., Korup, O., Specht, S., Roessner, S., and Walz, A.:
Unchanged frequency of moraine-dammed glacial lake outburst floods in the Himalaya,
Nat. Clim. Change,
2000, 1–5, https://doi.org/10.1038/s41558-019-0437-5, 2019.
Veh, G., Korup, O., and Walz, A.:
Hazard from Himalayan glacier lake outburst floods,
P. Natl. Acad. Sci. USA,
117, 907–912, https://doi.org/10.1073/pnas.1914898117, 2020.
Vehtari, A., Gelman, A., and Gabry, J.:
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC,
Stat. Comput.,
27, 1413–1432, https://doi.org/10.1007/s11222-016-9696-4, 2017.
Wang, W., Yao, T., Gao, Y., Yang, X., and Kattel, D. B.:
A First-order Method to Identify Potentially Dangerous Glacial Lakes in a Region of the Southeastern Tibetan Plateau,
Mt. Res. Dev.,
31, 122–130, https://doi.org/10.1659/MRD-JOURNAL-D-10-00059.1, 2011.
Wang, X., Liu, S., Guo, W., and Xu, J.:
Assessment and simulation of glacier lake outburst floods for Longbasaba and Pida lakes, China,
Mt. Res. Dev.,
28, 310–317, https://doi.org/10.1659/mrd.0894, 2008.
Wang, X., Liu, S., Ding, Y., Guo, W., Jiang, Z., Lin, J., and Han, Y.: An approach for estimating the breach probabilities of moraine-dammed lakes in the Chinese Himalayas using remote-sensing data, Nat. Hazards Earth Syst. Sci., 12, 3109–3122, https://doi.org/10.5194/nhess-12-3109-2012, 2012.
Wang, X., Guo, X., Yang, C., Liu, Q., Wei, J., Zhang, Y., Liu, S., Zhang, Y., Jiang, Z., and Tang, Z.: Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images, Earth Syst. Sci. Data, 12, 2169–2182, https://doi.org/10.5194/essd-12-2169-2020, 2020.
Worni, R., Huggel, C., and Stoffel, M.:
Glacial lakes in the Indian Himalayas – From an area-wide glacial lake inventory to on-site and modeling based risk assessment of critical glacial lakes,
Sci. Total Environ.,
468, S71–S84, https://doi.org/10.1016/j.scitotenv.2012.11.043, 2013.
Yang, S.-K. and Smith, G. L.:
Further Study on Atmospheric Lapse Rate Regimes,
J. Atmos. Sci.,
42, 961–966, https://doi.org/10.1175/1520-0469(1985)042<0961:fsoalr>2.0.co;2, 1985.
Short summary
Glacial lake outburst floods (GLOFs) in the greater Himalayan region threaten local communities and infrastructure. We assess this hazard objectively using fully data-driven models. We find that lake and catchment area, as well as regional glacier-mass balance, credibly raised the susceptibility of a glacial lake in our study area to produce a sudden outburst. However, our models hardly support the widely held notion that rapid lake growth increases GLOF susceptibility.
Glacial lake outburst floods (GLOFs) in the greater Himalayan region threaten local communities...