@@ -68,20 +68,4 @@ for job_id in ["dry_held_suarez", "moist_held_suarez"]
6868 Makie. ylims! (co_heat_flux. axis, - pa_grid[1 ], - pa_grid[end ])
6969 co_heat_flux. axis. yticks = (- pa_grid, string .(pa_grid))
7070 Makie. save (joinpath (PLOT_DIR, " $(job_id) _heat_flux.png" ), co_heat_flux)
71-
72- # Figure 5: storm track diagnostics reduced to timeseries
73- # this plots the eddy heat flux and max. Eady growth rate in a sectorial selection
74- lev_i, lat_s_i, lat_n_i, lon_w_i, lon_e_i = lev_st, 60 , 75 , 1 , 30
75- println (
76- " Sectorial selevtion for timeseries: \n level: $(z[lev_i]) , lat: $(lat[lat_s_i]) to $(lat[lat_n_i]) , lon: $(lon[lon_w_i]) to $(lon[lon_e_i]) " ,
77- )
78-
79- egr_all, lat, lon, z, time = get_nc_data_all (" egr" , reduction, DATA_DIR)
80- egr_t = point_timeseries_data (egr_all, [lon_w_i, lon_e_i], [lat_s_i, lat_n_i], lev_i)
81-
82- vT_all, lat, lon, z, time = get_nc_data_all (" vt" , reduction, DATA_DIR)
83- va_all, lat, lon, z, time = get_nc_data_all (" va" , reduction, DATA_DIR)
84- ta_all, lat, lon, z, time = get_nc_data_all (" ta" , reduction, DATA_DIR)
85- heat_flux_all = vT_all .- va_all .* ta_all
86- heat_flux_t = point_timeseries_data (heat_flux_all, [lon_w_i, lon_e_i], [lat_s_i, lat_n_i], lev_i)
8771end
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