This is a project which is currently making use of HPC facilities at Newcastle University. It is active.
For further information about this project, please contact:
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.