Prateek Gantayat

• PhD
• PostDoc Position at Institute of Science and Technology Austria

In his paper we model the evolution of the exposure of the Lower Barun lake (located in the Nepal Himalaya) to avalanches from the surrounding susceptible slopes under various SSP scenarios. We used numerical ice-flow modelling for this purpose.

We present a new model called Bayesian Estimated Glacial Lake Volume (BE‐GLAV) to estimate the volume of proglacial lakes. Presuming the lake cross‐section as trapezoidal, BE‐GLAV uses a Bayesian calibration approach to adjust the cross‐sectional geometry to match modeled and observed lake surface widths. We validated our model using bathymetric me...

The Greenland Ice Sheet (GrIS) is losing mass as the climate warms through both increased meltwater runoff and ice discharge at marine-terminating sectors. At the ice sheet surface, meltwater runoff forms a dynamic supraglacial hydrological system which includes stream and river networks and large supraglacial lakes (SGLs). Streams and rivers can r...

The Greenland Ice Sheet (GrIS) is losing mass as the climate warms through both increased meltwater runoff and ice discharge at marine terminating sectors. At the ice sheet surface, meltwater runoff forms a dynamic supraglacial hydrological system which includes stream/river networks and large supraglacial lakes (SGLs). Streams/rivers can route wat...

In this study, we simulated the evolution of a large glacier-fed lake called the Gepan Gath lake located in Western Himalayas by numerically modelling the evolution of the Gepan Gath glacier that feeds the lake. Due to the extremely large volume and steep lake sidewalls, the lake has been classified as ‘critical’ or prone to hazards such as lake ou...

In this study, we simulated the evolution of a large glacier-fed lake called the Gepangath lake located in Western Himalayas by numerically modelling the evolution of the Gepangath glacier that feeds the lake. This modelling was carried out by a 1D model that is based on the principle of mass conservation. The 1D model was forced with the glacier s...

Knowing the ice thickness distribution of a glacier is of fundamental importance for a number of applications, ranging from the planning of glaciological fieldwork to the assessments of future sea-level change. Across spatial scales, however, this knowledge is limited by the paucity and discrete character of available thickness observations. To obt...

The status of Gangotri, one of the largest Himalayan glaciers, has been a matter of scientific debate and close scrutiny of the global hydrologic community. To comprehend the current state of Gangotri Glacier, we estimated it's geodetic mass budget and ice velocity using optical satellite data. The spatial distribution of ice thickness, using a lam...

The history of glacier length fluctuations serves as a reliable indicator of the past climate. In this paper, a numerical flowline model has been used to study the relationship between length variations of Chhota Shigri glacier and local climate since 1876. The simulated front positions of Chhota Shigri glacier are in agreement with those observed....

Knowledge about the ice thickness distribution of a given glacier or ice cap is essential for a number of glacio-logical and hydrological applications. Yet, the ice thickness of the majority of worlds' ice masses remains poorly constrained. Recently, significant advances have been made in numerical methods that infer glacier ice thickness from surf...

Knowledge of the ice thickness distribution of glaciers and ice caps is an important prerequisite for many glaciological and hydrological investigations. A wealth of approaches has recently been presented for inferring ice thickness from characteristics of the surface. With the Ice Thickness Models Intercomparison eXperiment (ITMIX) we performed th...

Knowledge of the ice thickness distribution of glaciers and ice caps is an important prerequisite for many glacio-logical and hydrological investigations. A wealth of approaches has recently been presented for inferring ice thickness from characteristics of the surface. With the Ice Thickness Models Intercomparison eXperiment (ITMIX) we performed t...

We estimate the distribution of ice thickness for a Himalayan glacier using surface velocities, slope and the ice flow law. Surface velocities over Gangotri Glacier were estimated using sub-pixel correlation of Landsat TM and ETM+ imagery. Velocities range from ~14–85 m a–1 in the accumulation region to ~20–30 m a–1 near the snout. Depth profiles w...