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An inventory of glacial lakes in the Third Pole region and their changes in response to global warming

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TLDR
In this paper, the first glacial lake in- ventories for the Third Pole were conducted for ~1990, 2000, and 2010 using Landsat TM/ETM+ data.
Abstract
article i nfo No glacial lake census exists for the Third Pole region, which includes the Pamir-Hindu Kush-Karakoram- Himalayas and the Tibetan Plateau. Therefore, comprehensive information is lacking about the distribution of and changes in glacial lakes caused by current global warming conditions. In this study, the first glacial lake in- ventories for the Third Pole were conducted for ~1990, 2000, and 2010 using Landsat TM/ETM+ data. Glacial lake spatial distributions, corresponding areas and temporal changes were examined. The significant results are as follows. (1) There were 4602, 4981, and 5701 glacial lakes (N0.003 km 2 ) covering areas of 553.9 ± 90, 581.2 ± 97, and 682.4 ± 110 km 2 in ~1990, 2000, and 2010, respectively; these lakes are primarily located in the Brahmaputra (39%),Indus (28%), and AmuDarya (10%) basins. (2) Small lakes (b0.2 km 2 ) are more sensitive to climate changes. (3) Lakes closer to glaciers and at higher altitudes, particularly thoseconnected to glacier ter- mini, have undergone larger area changes. (4) Glacier-fed lakes are dominant in both quantity and area (N70%) and exhibit faster expansion trends overall compared to non-glacier-fed lakes. We conclude that glacier meltwa- ter may play a dominant role in the areal expansion of most glacial lakes in the Third Pole. In addition, the pat- terns of the glacier-fed lakes correspond well with warming temperature trends and negative glacier mass balance patterns. This paper presents an important database of glacial lakes and provides a basis for long-term monitoring and evaluation of outburst flood disasters primarily caused by glacial lakes in the Third Pole.

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Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings

Tandong Yao
TL;DR: This paper found that the most intensive glacier shrinkage is in the Himalayan region, whereas glacial retreat in the Pamir Plateau region is less apparent, due to changes in atmospheric circulations and precipitation patterns.
Journal ArticleDOI

A regional-scale assessment of Himalayan glacial lake changes using satellite observations from 1990 to 2015

TL;DR: In this paper, the current distribution of glacial lakes across the entire Himalaya and monitor the spatially-explicit evolution of the lakes over five time periods from 1990 to 2015 using a total of 348 Landsat images at 30-m resolution.
Journal ArticleDOI

Rapid worldwide growth of glacial lakes since 1990

TL;DR: In this paper, the role of these lakes as terrestrial storage for glacial meltwater is unknown and not accounted for in global sea level assessments, and they use scaling relations to estimate that global glacier lake volume increased by around 48%, to 156.5 km3, between 1990 and 2018.
References
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Journal ArticleDOI

Classification of glacial lakes using integrated approach of DFPS technique and gradient analysis using Sentinel 2A data

TL;DR: In this paper, a combination of semi-automatic method Double-Window Flexible Pace Search (DFPS) was used to identify and locate glacial lakes for assessing any potential hazard.
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Melting of Himalayan glaciers and planetary health

TL;DR: In this paper, a complex adaptive systems framework based on a systematic literature review was used to capture and map the complexity of melting Himalayan glaciers in nine subsystems: ecological services, disaster, water security, food security, energy security, livelihood and culture, migration, conflict and public health.
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Regional morphodynamics of supraglacial lakes in the Everest Himalaya.

TL;DR: New lake formations at higher elevation were triggered by gradual increase in temperature, decrease in glacier surface velocity, slope and ice thickness, and the feature selection techniques indicated ice thickness as prior controlling factor followed by the surface velocity and slope to stabilize lakes at the lower part of ablation.
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Evaluation of effective spectral features for glacial lake mapping by using Landsat-8 OLI imagery

TL;DR: In this paper, the authors evaluated the most effective spectral features in glacial lake mapping using Landsat-8 imagery and found that the three most prominent spectral features (SF) with high scores are NDWI1, EWI, and NDWI3.
Journal ArticleDOI

Dynamic Monitoring of the Lake Area in the Middle and Lower Reaches of the Yangtze River Using MODIS Images Between 2000 and 2016

TL;DR: Examination of the long-term variation of the four largest lakes in this area, Poyang Lake, Dongting Lake, Taihu Lake, and Chaohu Lake finds the annual minimum area of the two lakes increased after 2010, which is of major significance for protecting these lakes.