Our Research Projects

Distributed Glacier surface energy mass balance of Himalayan Glaciers

This is a project which is currently making use of HPC facilities at Newcastle University. It is active.

Project Contacts

For further information about this project, please contact:


Project Description

PhD research project to quantify how atmospheric drivers force glacier melting and mass balance and local microclimate and boundary layer feedbacks.


Software or Compute Methods

Framework: COSIPY (COupled Snowpack and Ice surface energy and mass balance model in PYthon).

Core Dependencies: Python, NumPy, SciPy, Pandas, xarray, and NetCDF.

Processing Methods & HPC Workload:

• Execution: to run tightly coupled thermodynamic and physical modules across multiple spatial grids or point-scale weather stations to simulate surface energy balance (SEB) and mass balance dynamics.

• Parallelization: to conduct parallel and distributed grid processing architectures to scale spatial simulations efficiently.

• Computational Intensity: to perform intensive parameter optimization routines and large-scale ensemble runs.