diff --git a/modules/aeolus/aeolus_amv.py b/modules/aeolus/aeolus_amv.py index 1bb8acf28c678012a85cab326a381d387cfb81f1..6580501e535d7972a2de5f849dfd9c3d515ba9e2 100644 --- a/modules/aeolus/aeolus_amv.py +++ b/modules/aeolus/aeolus_amv.py @@ -1260,12 +1260,17 @@ def make_plot(bin_ranges, bin_values): bias.append(np.average(bin_vals[i])) std.append(np.std(bin_vals[i])) + title='ACHA - RAOB Pres Match' + x_axis_label = 'STD (m/s)' + do_plot(x_values, [std_r, std_g, std], ['ICE', 'NOT ICE', 'ALL'], ['blue', 'red', 'black'], title=title, x_axis_label=x_axis_label, y_axis_label='hPa', invert=True, flip=True) - #do_plot(x_values, [std_r, std_g, std], ['ICE', 'NOT ICE', 'ALL'], ['blue', 'red', 'black'], title='ACHA - RAOB ', x_axis_label='STD (hPa)', y_axis_label='hPa', invert=True, flip=True) - #do_plot(x_values, [bias_r, bias_g, bias], ['ICE', 'NOT ICE', 'ALL'], ['blue', 'red', 'black'], title='ACHA - RAOB Pres Match', x_axis_label='BIAS (m/s)', y_axis_label='hPa', invert=True, flip=True) - do_plot(x_values, [mad_r, mad_g, mad], ['ICE', 'NOT ICE', 'ALL'], ['blue', 'red', 'black'], title='ACHA - GFS BestFit (ALL)', x_axis_label='MAD (m/s)', y_axis_label='hPa', invert=True, flip=True) - #do_plot(x_values, [mad_r, mad_g, mad], ['ICE', 'NOT ICE', 'ALL'], ['blue', 'red', 'black'], title='ACHA - RAOB Pres Match', x_axis_label='MAD (m/s)', y_axis_label='hPa', invert=True, flip=True) - #do_plot(x_values, [num_vals_r, num_vals_g, num_vals], ['ICE: '+str(num_r), 'NOT ICE: '+str(num_g), 'ALL: '+str(num)], ['blue', 'red', 'black'], title='ACHA - RAOB BestFit', x_axis_label='log(Count)', y_axis_label='hPa', invert=True, flip=True) + x_axis_label = 'BIAS (m/s)' + do_plot(x_values, [bias_r, bias_g, bias], ['ICE', 'NOT ICE', 'ALL'], ['blue', 'red', 'black'], title=title, x_axis_label=x_axis_label, y_axis_label='hPa', invert=True, flip=True) + + x_axis_label = 'MAD (m/s)' + do_plot(x_values, [mad_r, mad_g, mad], ['ICE', 'NOT ICE', 'ALL'], ['blue', 'red', 'black'], title=title, x_axis_label=x_axis_label, y_axis_label='hPa', invert=True, flip=True) + + do_plot(x_values, [num_vals_r, num_vals_g, num_vals], ['ICE: '+str(num_r), 'NOT ICE: '+str(num_g), 'ALL: '+str(num)], ['blue', 'red', 'black'], title=title, x_axis_label='log(Count)', y_axis_label='hPa', invert=True, flip=True) def make_plot2(bin_pres_r, bin_ranges):