Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3455-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3455-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
31 Aug 2016
Research article |
| 31 Aug 2016
A new remote hazard and risk assessment framework for glacial lakes in the Nepal Himalaya
Center for Research in Water Resources, University of Texas at
Austin, Austin, TX, USA
Daene C. McKinney
Center for Research in Water Resources, University of Texas at
Austin, Austin, TX, USA
Jonathan M. Lala
Center for Research in Water Resources, University of Texas at
Austin, Austin, TX, USA
Alton C. Byers
Institute of Arctic and Alpine Research, University of
Colorado Boulder, Boulder, CO, USA
C. Scott Watson
School of Geography, University
of Leeds, Leeds, LS2 9JT, UK
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Many glacial lakes in the Himalayas are held in place by natural sediment dams, which are prone to collapse, causing a glacial lake outburst flood (GLOF). This study models a GLOF as a process chain, in which an avalanche enters the lake, creates a large wave that erodes the sediment dam, and produces a flood downstream. Results indicate that Imja Tsho presents little hazard for the next 30 years, but the model is replicable and should be used at other lakes that may present greater hazard.
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Many glaciers in the Himalaya are covered with thick layers of rock debris that acts as an insulating blanket and so reduces melting of the underlying ice. Little is known about how melt beneath supraglacial debris varies across glaciers and through the monsoon season. We measured debris temperatures across three glaciers and several years to investigate seasonal trends, and found that sub-debris ice melt can be predicted using a temperature–depth relationship with surface temperature data.
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Many glacial lakes in the Himalayas are held in place by natural sediment dams, which are prone to collapse, causing a glacial lake outburst flood (GLOF). This study models a GLOF as a process chain, in which an avalanche enters the lake, creates a large wave that erodes the sediment dam, and produces a flood downstream. Results indicate that Imja Tsho presents little hazard for the next 30 years, but the model is replicable and should be used at other lakes that may present greater hazard.
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Ann V. Rowan, Lindsey Nicholson, Emily Collier, Duncan J. Quincey, Morgan J. Gibson, Patrick Wagnon, David R. Rounce, Sarah S. Thompson, Owen King, C. Scott Watson, Tristram D. L. Irvine-Fynn, and Neil F. Glasser
The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-239, https://doi.org/10.5194/tc-2017-239, 2017
Revised manuscript not accepted
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Many glaciers in the Himalaya are covered with thick layers of rock debris that acts as an insulating blanket and so reduces melting of the underlying ice. Little is known about how melt beneath supraglacial debris varies across glaciers and through the monsoon season. We measured debris temperatures across three glaciers and several years to investigate seasonal trends, and found that sub-debris ice melt can be predicted using a temperature–depth relationship with surface temperature data.
David R. Rounce, Alton C. Byers, Elizabeth A. Byers, and Daene C. McKinney
The Cryosphere, 11, 443–449, https://doi.org/10.5194/tc-11-443-2017, https://doi.org/10.5194/tc-11-443-2017, 2017
Short summary
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On 12 June 2016, the authors witnessed a glacier outburst flood with origins from Lhotse Glacier, located in the Everest region of Nepal. Observations regarding the size of the flood and a reconstruction of its path immediately following the event were performed. Most of the flood water was stored in the glacier's subsurface and likely released by dam failure. A similar flood from Lhotse Glacier was also reported by local community members on 25 May 2015.
Marcelo A. Somos-Valenzuela, Rachel E. Chisolm, Denny S. Rivas, Cesar Portocarrero, and Daene C. McKinney
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This paper presents simulations of all of the processes involved in a potential GLOF originating from Lake Palcacocha above the city of Huaraz, Peru. The chain of processes starting form an avalanche falling into the lake and leading to a possible GLOF are simulated and converted into flood intensity and hazard maps (based on an intensity-likelihood matrix) that may be useful for city planning and regulation. Erosion from the overtopping wave did not result in failure of the damming moraine.
D. R. Rounce, D. J. Quincey, and D. C. McKinney
The Cryosphere, 9, 2295–2310, https://doi.org/10.5194/tc-9-2295-2015, https://doi.org/10.5194/tc-9-2295-2015, 2015
Short summary
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D. S. Rivas, M. A. Somos-Valenzuela, B. R. Hodges, and D. C. McKinney
Nat. Hazards Earth Syst. Sci., 15, 1163–1179, https://doi.org/10.5194/nhess-15-1163-2015, https://doi.org/10.5194/nhess-15-1163-2015, 2015
M. A. Somos-Valenzuela, D. C. McKinney, A. C. Byers, D. R. Rounce, C. Portocarrero, and D. Lamsal
Hydrol. Earth Syst. Sci., 19, 1401–1412, https://doi.org/10.5194/hess-19-1401-2015, https://doi.org/10.5194/hess-19-1401-2015, 2015
Short summary
Short summary
The potential flooding impacts from Imja glacial lake in Nepal were studied using a two-dimensional debris-flow model to evaluate the effectiveness of proposed measures to reduce possible flooding impacts to downstream communities by lowering the lake level. The results indicate that only a minor benefits is achieved with modest (~3m) lowering and lowering of 20m almost eliminates all flood impact at Dingboche.
M. A. Somos-Valenzuela, D. C. McKinney, D. R. Rounce, and A. C. Byers
The Cryosphere, 8, 1661–1671, https://doi.org/10.5194/tc-8-1661-2014, https://doi.org/10.5194/tc-8-1661-2014, 2014
D. R. Rounce and D. C. McKinney
The Cryosphere, 8, 1317–1329, https://doi.org/10.5194/tc-8-1317-2014, https://doi.org/10.5194/tc-8-1317-2014, 2014
Related subject area
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Estimates of 250 m of snow water equivalent in the western USA and Canada are improved by assimilating observations representative of a snow-focused satellite mission with a land surface model. Here, by including a gap-filling strategy, snow estimates could be improved in forested regions where remote sensing is challenging. This approach improved estimates of winter maximum snow water volume to within 4 %, on average, with persistent improvements to both spring snow and runoff in many regions.
Eunsang Cho, Yonghwan Kwon, Sujay V. Kumar, and Carrie M. Vuyovich
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Michael Schirmer and John W. Pomeroy
Hydrol. Earth Syst. Sci., 24, 143–157, https://doi.org/10.5194/hess-24-143-2020, https://doi.org/10.5194/hess-24-143-2020, 2020
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The spatial distribution of snow water equivalent (SWE) and melt are important for hydrological applications in alpine terrain. We measured the spatial distribution of melt using a drone in very high resolution and could relate melt to topographic characteristics. Interestingly, melt and SWE were not related spatially, which influences the speed of areal melt out. We could explain this by melt varying over larger distances than SWE.
Dorothy K. Hall, George A. Riggs, Nicolo E. DiGirolamo, and Miguel O. Román
Hydrol. Earth Syst. Sci., 23, 5227–5241, https://doi.org/10.5194/hess-23-5227-2019, https://doi.org/10.5194/hess-23-5227-2019, 2019
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Global snow cover maps have been available since 2000 from the MODerate resolution Imaging Spectroradiometer (MODIS), and since 2000 and 2011 from the Suomi National Polar-orbiting Partnership (S-NPP) and the Visible Infrared Imaging Radiometer Suite (VIIRS), respectively. These products are used extensively in hydrological modeling and climate studies. New, daily cloud-gap-filled snow products are available from both MODIS and VIIRS, and are being used to develop an Earth science data record.
Todd A. N. Redpath, Pascal Sirguey, and Nicolas J. Cullen
Hydrol. Earth Syst. Sci., 23, 3189–3217, https://doi.org/10.5194/hess-23-3189-2019, https://doi.org/10.5194/hess-23-3189-2019, 2019
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Spatio-temporal variability of seasonal snow cover is characterised from 16 years of MODIS data for the Clutha Catchment, New Zealand. No trend was detected in snow-covered area. Spatial modes of variability reveal the role of anomalous winter airflow. The sensitivity of snow cover duration to temperature and precipitation variability is found to vary spatially across the catchment. These findings provide new insight into seasonal snow processes in New Zealand and guidance for modelling efforts.
Andri Gunnarsson, Sigurður M. Garðarsson, and Óli G. B. Sveinsson
Hydrol. Earth Syst. Sci., 23, 3021–3036, https://doi.org/10.5194/hess-23-3021-2019, https://doi.org/10.5194/hess-23-3021-2019, 2019
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In this study a gap-filled snow cover product for Iceland is developed using MODIS satellite data and validated with both in situ observations and alternative remote sensing data sources with good agreement. Information about snow cover extent, duration and changes over time is presented, indicating that snow cover extent has been increasing slightly for the past few years.
Xinghua Li, Yinghong Jing, Huanfeng Shen, and Liangpei Zhang
Hydrol. Earth Syst. Sci., 23, 2401–2416, https://doi.org/10.5194/hess-23-2401-2019, https://doi.org/10.5194/hess-23-2401-2019, 2019
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This paper is a review article on the cloud removal methods of MODIS snow cover products.
Rose Petersky and Adrian Harpold
Hydrol. Earth Syst. Sci., 22, 4891–4906, https://doi.org/10.5194/hess-22-4891-2018, https://doi.org/10.5194/hess-22-4891-2018, 2018
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Ephemeral snowpacks are snowpacks that persist for less than 2 months. We show that ephemeral snowpacks melt earlier and provide less soil water input in the spring. Elevation is strongly correlated with whether snowpacks are ephemeral or seasonal. Snowpacks were also more likely to be ephemeral on south-facing slopes than north-facing slopes at high elevations. In warm years, the Great Basin shifts to ephemerally dominant as rain becomes more prevalent at increasing elevations.
Elisabeth Baldo and Steven A. Margulis
Hydrol. Earth Syst. Sci., 22, 3575–3587, https://doi.org/10.5194/hess-22-3575-2018, https://doi.org/10.5194/hess-22-3575-2018, 2018
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Montane snowpacks are extremely complex to represent and usually require assimilating remote sensing images at very fine spatial resolutions, which is computationally expensive. Adapting the grid size of the terrain to its complexity was shown to cut runtime and storage needs by half while preserving the accuracy of ~ 100 m snow estimates. This novel approach will facilitate the large-scale implementation of high-resolution remote sensing data assimilation over snow-dominated montane ranges.
Alejandra Stehr and Mauricio Aguayo
Hydrol. Earth Syst. Sci., 21, 5111–5126, https://doi.org/10.5194/hess-21-5111-2017, https://doi.org/10.5194/hess-21-5111-2017, 2017
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In Chile there is a lack of hydrological data, which complicates the analysis of important hydrological processes. In this study we validate a remote sensing product, i.e. the MODIS snow product, in Chile using ground observations, obtaining good results. Then MODIS was use to evaluated snow cover dynamic during 2000–2016 at five watersheds in Chile. The analysis shows that there is a significant reduction in snow cover area in two watersheds located in the northern part of the study area.
S. Gascoin, O. Hagolle, M. Huc, L. Jarlan, J.-F. Dejoux, C. Szczypta, R. Marti, and R. Sánchez
Hydrol. Earth Syst. Sci., 19, 2337–2351, https://doi.org/10.5194/hess-19-2337-2015, https://doi.org/10.5194/hess-19-2337-2015, 2015
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There is a good agreement between the MODIS snow products and observations from automatic stations and Landsat snow maps in the Pyrenees. The optimal thresholds for which a MODIS pixel is marked as snow-covered are 40mm in water equivalent and 150mm in snow depth.
We generate a gap-filled snow cover climatology for the Pyrenees. We compute the mean snow cover duration by elevation and aspect classes. We show anomalous snow patterns in 2012 and consequences on hydropower production.
P. Da Ronco and C. De Michele
Hydrol. Earth Syst. Sci., 18, 4579–4600, https://doi.org/10.5194/hess-18-4579-2014, https://doi.org/10.5194/hess-18-4579-2014, 2014
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The negative impacts of cloud obstruction in snow mapping from MODIS and a new reliable cloud removal procedure for the Italian Alps.
P. D. Micheletty, A. M. Kinoshita, and T. S. Hogue
Hydrol. Earth Syst. Sci., 18, 4601–4615, https://doi.org/10.5194/hess-18-4601-2014, https://doi.org/10.5194/hess-18-4601-2014, 2014
P. B. Kirchner, R. C. Bales, N. P. Molotch, J. Flanagan, and Q. Guo
Hydrol. Earth Syst. Sci., 18, 4261–4275, https://doi.org/10.5194/hess-18-4261-2014, https://doi.org/10.5194/hess-18-4261-2014, 2014
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In this study we present results from LiDAR snow depth measurements made over 53 sq km and a 1600 m elevation gradient. We found a lapse rate of 15 cm accumulated snow depth and 6 cm SWE per 100 m in elevation until 3300 m, where depth sharply decreased. Residuals from this trend revealed the role of aspect and highlighted the importance of solar radiation and wind for snow distribution. Lastly, we compared LiDAR SWE estimations with four model estimates of SWE and total precipitation.
S. Hasson, V. Lucarini, M. R. Khan, M. Petitta, T. Bolch, and G. Gioli
Hydrol. Earth Syst. Sci., 18, 4077–4100, https://doi.org/10.5194/hess-18-4077-2014, https://doi.org/10.5194/hess-18-4077-2014, 2014
S. Surer, J. Parajka, and Z. Akyurek
Hydrol. Earth Syst. Sci., 18, 763–774, https://doi.org/10.5194/hess-18-763-2014, https://doi.org/10.5194/hess-18-763-2014, 2014
V. López-Burgos, H. V. Gupta, and M. Clark
Hydrol. Earth Syst. Sci., 17, 1809–1823, https://doi.org/10.5194/hess-17-1809-2013, https://doi.org/10.5194/hess-17-1809-2013, 2013
T. Y. Lakhankar, J. Muñoz, P. Romanov, A. M. Powell, N. Y. Krakauer, W. B. Rossow, and R. M. Khanbilvardi
Hydrol. Earth Syst. Sci., 17, 783–793, https://doi.org/10.5194/hess-17-783-2013, https://doi.org/10.5194/hess-17-783-2013, 2013
A. A. Tahir, P. Chevallier, Y. Arnaud, and B. Ahmad
Hydrol. Earth Syst. Sci., 15, 2275–2290, https://doi.org/10.5194/hess-15-2275-2011, https://doi.org/10.5194/hess-15-2275-2011, 2011
J. Wang, H. Li, and X. Hao
Hydrol. Earth Syst. Sci., 14, 1979–1987, https://doi.org/10.5194/hess-14-1979-2010, https://doi.org/10.5194/hess-14-1979-2010, 2010
J. L. Hood and M. Hayashi
Hydrol. Earth Syst. Sci., 14, 901–910, https://doi.org/10.5194/hess-14-901-2010, https://doi.org/10.5194/hess-14-901-2010, 2010
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Short summary
Glacial lake outburst floods pose a significant threat to downstream communities and infrastructure as they rapidly unleash stored lake water. Nepal is home to many potentially dangerous glacial lakes, yet a holistic understanding of the hazards faced by these lakes is lacking. This study develops a framework using remotely sensed data to investigate the hazards and risks associated with each glacial lake and discusses how this assessment may help inform future management actions.
Glacial lake outburst floods pose a significant threat to downstream communities and...
