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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.
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基于 SOC 职业分类
| id | 5d66ffc3-26d7-4b6d-bed5-e3d0ebcbd7f8 |
| name | Calculate Ellrod Index from GFS Data |
| description | 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. |
| version | 0.1.0 |
| tags | ["python","meteorology","gfs","ellrod-index","turbulence"] |
| triggers | ["calculate Ellrod index in python","Ellrod index script","calculate deformation and convergence GFS","python Ellrod turbulence index","calculate vertical wind shear GFS"] |
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.