@@ -68,20 +68,4 @@ for job_id in ["dry_held_suarez", "moist_held_suarez"]
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Makie. ylims! (co_heat_flux. axis, - pa_grid[1 ], - pa_grid[end ])
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co_heat_flux. axis. yticks = (- pa_grid, string .(pa_grid))
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Makie. save (joinpath (PLOT_DIR, " $(job_id) _heat_flux.png" ), co_heat_flux)
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-
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- # Figure 5: storm track diagnostics reduced to timeseries
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- # this plots the eddy heat flux and max. Eady growth rate in a sectorial selection
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- lev_i, lat_s_i, lat_n_i, lon_w_i, lon_e_i = lev_st, 60 , 75 , 1 , 30
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- println (
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- " 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]) " ,
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- )
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-
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- egr_all, lat, lon, z, time = get_nc_data_all (" egr" , reduction, DATA_DIR)
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- egr_t = point_timeseries_data (egr_all, [lon_w_i, lon_e_i], [lat_s_i, lat_n_i], lev_i)
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-
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- vT_all, lat, lon, z, time = get_nc_data_all (" vt" , reduction, DATA_DIR)
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- va_all, lat, lon, z, time = get_nc_data_all (" va" , reduction, DATA_DIR)
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- ta_all, lat, lon, z, time = get_nc_data_all (" ta" , reduction, DATA_DIR)
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- heat_flux_all = vT_all .- va_all .* ta_all
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- heat_flux_t = point_timeseries_data (heat_flux_all, [lon_w_i, lon_e_i], [lat_s_i, lat_n_i], lev_i)
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end
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