2022
DOI: 10.1017/jog.2022.60
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Influence of glacier inventories on ice thickness estimates and future glacier change projections in the Tian Shan range, Central Asia

Abstract: The Tian Shan mountain range, known as the water towers of Central Asia, plays a key role in local water supply, yet large uncertainties remain about the amount of water that is stored in its glaciers. In this study, we assess the impact of the boundary conditions on ice thickness estimates using two inversion models: a mass conservation (MC) model and a basal shear stress (BS) model. We compare the widely used Randolph Glacier Inventory version 6 with the updated Glacier Area Mapping for Discharge from the As… Show more

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Cited by 11 publications
(9 citation statements)
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“…However, it is important to note that GPR measurements can experience significant signal attenuation in temperate glaciers with high water content and in areas with thick ice, limiting its depth of investigation and potentially introducing some uncertainties [72]. Moreover, a synergistic approach, blending a 3D high-order numerical model with a 1D streamline model, might offer a more refined methodology for capturing the ice thickness and volume attributes of individual glaciers [18]. The 3D model, by accounting for additional variables like ice movement and temperature, can provide a detailed physical representation of the target glacier, when integrated with remote sensing information (such as adjusted basal sliding velocities of glaciers and derived ice temperatures), which may reduce inaccuracies associated with the basic ice approximation principle [12,20,35].…”
Section: Comparison With Previous Researchmentioning
confidence: 99%
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“…However, it is important to note that GPR measurements can experience significant signal attenuation in temperate glaciers with high water content and in areas with thick ice, limiting its depth of investigation and potentially introducing some uncertainties [72]. Moreover, a synergistic approach, blending a 3D high-order numerical model with a 1D streamline model, might offer a more refined methodology for capturing the ice thickness and volume attributes of individual glaciers [18]. The 3D model, by accounting for additional variables like ice movement and temperature, can provide a detailed physical representation of the target glacier, when integrated with remote sensing information (such as adjusted basal sliding velocities of glaciers and derived ice temperatures), which may reduce inaccuracies associated with the basic ice approximation principle [12,20,35].…”
Section: Comparison With Previous Researchmentioning
confidence: 99%
“…The impact of DEM precision on the ice thickness inversion model is contingent on the specific features of the model. Typically, DEMs of higher resolution contribute to improved results from the model [18]. The accuracy of the DEM affects the slope of the glacier surface.…”
Section: Uncertainty and Sensitivitymentioning
confidence: 99%
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“…In addition, global ice volume estimation depends on the accuracy of glacier outlines in the underlying inventories. For example, Li and others (2022) found differences in ice volume of 2–8% in the Tien Shan using two different inventories. The influence of the choice of digital elevation model appeared to be negligible at the regional scale.…”
Section: Other Causes For Discrepancies In Global Ice Volume Estimatesmentioning
confidence: 99%
“…The Randolph Glacier Inventory (RGI) 6.0 includes information on the worldwide outlines, areas, and various attributes of glaciers such as elevation, length, and volume. The RGI serves as a valuable resource for studying glacier dynamics [49,50]. The RGI dataset is freely available and can be accessed through the Global Land Ice Measurements from Space (GLIMS) website at http://www.glims.org/RGI/ (accessed on 6 November 2022).…”
Section: Auxiliary Datamentioning
confidence: 99%