Data-Driven approach to solving the mysteries of the glacier mass balance
Research Methods
Statistical Data Analysis
The work includes detailed statistical data analysis using results from diverse datasets. Uncertainty analysis and determination of confidence intervals.
Data Exploration to Understand Underlying Processes
Leveraging different sampling approaches to obtain meaningful results for the thorough understanding of processes affecting the glacier mass balance.
Diverse Analysis tools like profiling for elevation changes and velocity changes have helped us to gain further insights into the processes affecting the Mass Balance. (Agarwal et al., 2017; Bhushan et al., 2017). This point data has been modeled by using different interpolation approaches
Creating Geovisualizations to understand the nature of geoscientific problems
Using Geographic Information Systems to create powerful visualizations. The spatial pattern of mass changes in the glacier can provide a clue where to focus our attention
