Mass balance and morphological evolution of the Dokriani Glacier, central Himalaya, India during 1999–2014

Garg, Purushottam Kumar; Yadav, Jairam Singh; Kumar, Santosh; Shukla, Anurag

doi:10.1016/j.gsf.2021.101290

Cited by 12 publications

(18 citation statements)

References 63 publications

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“…A recent study using high-resolution Cartosat-1 DEM and SRTM DEM estimated a mass wastage of −0.23 ± 0.10 m w.e. a −1 on DBG over 1999-2014 (Garg et al, 2021). Over the same period, our model showed slightly higher mass wastage with a mean mass balance of −0.35 ± 0.41 m w.e.…”

Section: Mass Balance Comparison With Other Studiesmentioning

confidence: 53%

“…The proglacial stream from DBG is called Din Gad which contributes to the Bhagirathi River of the Ganga River system. The DBG has extensively been investigated for its meteorological and mass balance conditions (Verma et al, 2018;Yadav et al, 2019Yadav et al, , 2021Azam and Srivastava, 2020;Dobhal et al, 2021;Garg et al, 2021). Chhota Shigri Glacier (32…”

Section: Introductionmentioning

confidence: 99%

“…Since 2002, CSG is under continuous observations focusing on mass balances, SEB, ice thicknessvolume-dynamics, and hydrology (Berthier et al, 2007;Wagnon et al, 2007;Soheb et al, 2017;Vashisht et al, 2017;Ramsankaran et al, 2018;Azam et al, 2019;Kumar et al, 2019;Mandal et al, 2020;Haq et al, 2021). 1992-1995, 1996-2000, and 2007-2014) (Dobhal et al, 2021;Garg et al, 2021) while CSG represents the longest continuous B a series since 2002 (−0.46 ± 0.40 m w.e. a −1 ) in the Himalaya (Mandal et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Mass- and Energy-Balance Modeling and Sublimation Losses on Dokriani Bamak and Chhota Shigri Glaciers in Himalaya Since 1979

Srivastava¹,

Azam²

2022

Front. Water

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Available surface energy balance (SEB) studies on the Himalayan glaciers generally investigate the melt-governing energy fluxes at a point-scale. Further, the annual glacier-wide mass balance (Ba) reconstructions have often been performed using temperature-index (T-index) models. In the present study, a mass- and energy-balance model is used to simulate the Ba on Dokriani Bamak Glacier (DBG, central Himalaya) and Chhota Shigri Glacier (CSG, western Himalaya) using the bias-corrected ERA5 data from 1979 to 2020. The model is calibrated using in-situ Ba and validated against available in-situ altitudinal and geodetic mass balances. DBG and CSG show mean Ba of −0.27 ± 0.32 and −0.31 ± 0.38 m w.e. a−1 (meter water equivalent per year), respectively, from 1979 to 2020. Glacier-wide net shortwave radiation dominates the SEB followed by longwave net radiation, latent heat flux, and sensible heat flux. The losses through sublimation are around 22% on DBG and 20% on CSG to the total ablation with a strong spatial and temporal variability. Modeled Ba is highly sensitive to snow albedo —with sensitivities of 0.29 and 0.37 m w.e. a−1 for 10% change in the calibrated value—on DBG and CSG, respectively. The sensitivity of the modeled mean Ba to 1°C change in air temperature and 10% change in precipitation, respectively is higher on DBG (−0.50 m w.e. a−1°C−1, 0.23 m w.e. a−1) than the CSG (−0.30 m w.e. a−1°C−1, 0.13 m w.e. a−1). This study provides insights into the regional variations in mass-wastage governing SEB fluxes at a glacier-wide scale, which is helpful for understanding the glacier–climate interactions in the Himalaya and stresses an inclusion of sublimation scheme in T-index models.

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Section: Mass Balance Comparison With Other Studiesmentioning

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mass- and Energy-Balance Modeling and Sublimation Losses on Dokriani Bamak and Chhota Shigri Glaciers in Himalaya Since 1979

Srivastava¹,

Azam²

2022

Front. Water

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“…The average altitude of the digitized snowlines was determined from the ASTER GDEM by creating a one-pixel buffer around them [35]. The variation in snowline altitude (SLA) was calculated using two methods: (a) directly comparing temporal SLAs, and (b) averaging the SLA variation between successive mapping years [36]. Figure 3 shows the framework of the methodology adopted in the present study.…”

Section: Methodology Adoptedmentioning

confidence: 99%

Long-Term Geospatial Observations of the Drang Drung and Pensilungpa Glaciers, North Western Himalaya, India, from 1976 to 2020

Jasrotia,

Ahmad,

Thakur

et al. 2023

Sustainability

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Drang Drung and Pensilungpa are neighbouring glaciers in the western Himalayas, sharing the same meteorological conditions and climate zone. The Drang Drung glacier is a clean glacier, whereas the Pensilungpa glacier is notable for its considerable accumulation of debris. The present study explores the topographical features of the Drang Drung and Pensilungpa glaciers and investigates how topography affects their response to climate change. Additionally, a comparison is made between these glaciers with others in the basin to assess their representativeness of the region. The study utilized Landsat Imagery and ASTER GDEM data from 1976 to 2020. The results revealed that the mean accumulation area ratio (AAR) for Drang Drung and Pensilungpa was 54% and 49%, respectively, during this period. Drang Drung has lost 8.16 km2 (10.73%) of its area, while Pensilungpa has lost 2.25 km2 (9.84%) of its area. The debris cover of Pensilungpa increased from 1.86 km2 in 1976 to 2.32 km2 in 2020, whereas the debris cover area of Drang Drung has increased comparatively more, from 4.01 km2 to 4.76 km2. Within the same time frame, the snowline altitude (SLA) shifted upward by an average of 104 m and 88 m for Drang Drung Pensilungpa, respectively. Further, our findings revealed a substantial connection between the size of glaciers and the speed at which their area is diminishing. The mean slope was identified as a key factor in influencing the rate at which the area is lost, and the retreat rates of the glaciers. The reduction in glacial area, increased debris coverage, and changes in SLA are key indicators of ice volume loss under prevailing climatic conditions. The present study recommends that long-term field-based data and the incorporation of multi-temporal satellite imagery are crucial to mitigate uncertainties in detecting changes in Himalayan glaciers. These approaches would contribute to a more accurate understanding of glacial changes, and would aid in forecasting future scenarios considering ongoing global warming trends.

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“…A lot of research methods have been applied to the study of temperate glaciers, including remote sensing (Luo, et al, 2020;Shangguan, et al, 2014;Ye, et al, 2015;Zhang, Xiaowen, et al, 2018;Zhao, Xuanru, et al, 2020), observation and simulation of mass balance (Cao, et al, 2017;Dobhal, et al, 2021;Kumar, A, et al, 2020;Kumar, Rajesh, et al, 2021;Li, Gang, et al, 2021;Pkga, et al, 2021;Tak and Keshari 2020), elevation change (Jin, et al, 2020;Li, Zhiguo, et al, 2016;Vincent, Christian, et al, 2020)and so on. Although these methods can truly reflect the response of the temperate glaciers to climate from the changes of ablation amount, area and volume, the whole glacial movement response to the climate is not completely revealed.…”

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confidence: 99%

Dynamic characteristics simulation of a temperate glacier based on an Elmers/Ice model

Zhang

Chen

2023

Preprint

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A large number of temperate glaciers are distributed in the southwest of China. Due to the effects of perennial high temperatures and excess rainfall, the movement and variations of these temperate glaciers are quite different from those of continental glaciers. To further understand the regulation of changes intemperate glaciers, we simulated the variations in the dynamic characteristic of the Hailuogou(HLG)glacier under the conditions of warm and wet climate based on the Elmer/Ice model in this study. The ice velocity, temperature and deviatoric stress in different directions were calculated. The results were as follows:(1)The high temperature in the ablation zone led to the long-term high-speed movement of glaciers;(2) Stress simulation showed that many areas of the HLG glacier were under the action of tensile force, and there was a certain compressive force occurred only at the positions where the upstream ice surface became narrow from wide, indicating that the viscosity of ice body was low; (3) Because the ice body was in a low viscosity state for a long time, the mass loss caused by ice flow and ablation was great, thus the ablation zone was in a large negative mass balance state. Moreover, the changes of the HLG glacier over the next 40 years were simulated based on two kinds of climatic scenario(RCP4.5 andRCP8.5).The results presented that the ice flow flux in the glacial accumulation zone was difficult to compensate for the mass loss in the ablation zone under the current state of mass balance variation, and then the ablation zone would shrink in the next 40 years. Thus, this study also revealed that temperate glaciers were more sensitive to climate than continental glaciers.

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Mass balance and morphological evolution of the Dokriani Glacier, central Himalaya, India during 1999–2014

Cited by 12 publications

References 63 publications

Mass- and Energy-Balance Modeling and Sublimation Losses on Dokriani Bamak and Chhota Shigri Glaciers in Himalaya Since 1979

Mass- and Energy-Balance Modeling and Sublimation Losses on Dokriani Bamak and Chhota Shigri Glaciers in Himalaya Since 1979

Long-Term Geospatial Observations of the Drang Drung and Pensilungpa Glaciers, North Western Himalaya, India, from 1976 to 2020

Dynamic characteristics simulation of a temperate glacier based on an Elmers/Ice model

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