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 18, 2026 - Python
pyCSA is a robust approach for approximating geodesic subgrid-scale orographic spectra with applications to weather forecasting and broader data analysis
Fortran version of the Constrained Spectral Approximation method
HIgh-resolution Multilevel Python-based Algorithm for cyclones' Centroid Tracking Multi-level cyclone tracking tool for ICON, WRF, MPAS and ERA5 model output. The algorithm tracks a cyclone center by locating the minimum and centroid of geopotential height (or sea-level pressure) within a search radius at multiple pressure levels.
MCP Server for Swiss weather & climate data – MeteoSwiss SwissMetNet, ICON forecasts, school planning
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