CSA's Home =========== .. toctree:: :hidden: self quick_start tutorial showcase hpc_reproducibility api changelog refs .. toctree:: :hidden: :caption: Links GitHub repo 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 `_.