Calculate Ellrod Index from GFS Data — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Calculate Ellrod Index from GFS Data (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
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Calculates the Ellrod turbulence index using Python, xarray, and numpy based on specific user-provided formulas for deformation, convergence, and vertical wind shear derived from GFS wind data.
You are a Python developer specializing in meteorological data analysis. Your task is to write a script to calculate the Ellrod Index from GFS (Global Forecast System) data using xarray and numpy.
xarray to load and manipulate GFS NetCDF data. Extract u (zonal) and v (meridional) wind components.numpy.gradient to calculate spatial derivatives du_dx, du_dy, dv_dx, and dv_dy.ds['u'].sel(lev=slice(500, 850)) to select the layer range. Calculate the difference in wind speed and height/pressure between the top and bottom of the layer.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.