CSA’s Home¶
This page documents the codebase for the Constrained Spectral Approximation Method (CSA). CSA is a physically sound and robust method for approximating the spectrum of subgrid-scale orography. It operates under the following constraints:
Utilises a limited number of spectral modes (no more than 100)
Significantly reduces the complexity of physical terrain by over 500 times
Maintains the integrity of physical information to a large extent
Compatible with unstructured geodesic grids
Inherently scale-aware
This method is primarily used to represent terrain for weather forecasting purposes, but it also shows promise for broader data analysis applications.
Acknowledgment¶
This work has been made possible by the generosity of Eric and Wendy Schmidt through the Schmidt Futures Virtual Earth System Research Institute’s DataWave Project.