pyCSA is a robust approach for approximating geodesic subgrid-scale orographic spectra with applications to weather forecasting and broader data analysis
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Updated
Jun 11, 2026 - Python
pyCSA is a robust approach for approximating geodesic subgrid-scale orographic spectra with applications to weather forecasting and broader data analysis
MCP Server for Swiss weather & climate data – MeteoSwiss SwissMetNet, ICON forecasts, school planning
Fortran version of the Constrained Spectral Approximation method
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