reanalysis wind data (u,v) and geopotential height data (Z) for different waves, decomposed by normal-mode function software MODES (https://modes.cen.uni-hamburg.de/)
Output:
wind vectors and geopotential height contour on a global map (longitude range shifted automatically according to the wave center in each data file)
2. mean_spectra.py
Description:
calculate the mean energy spectra from single spectra over a week, and plot them (1-D);
calculate the irrot./total ratio and plot it
Input:
binary data of En_k(n,l), En_n(k,l)
Output:
1-D mean energy spectra figures (x: log(k), log(n), y: log(En), irrot./total ratio
3. plot_2D.py
Description:
calculate the mean spectra from single spectra over a week, and plot them (2-D)
Input:
binary data of En(k,n,l)
Output:
2-D mean energy spectra figures
4. loop_plot.sh
Description:
Running a python script for 6-hourly data files
5. Rossby_contourf_sph.py, convert_gif.py
Description:
plot contourf of Rossby wave; convert a series of Rossby wave images into a .gif