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""" |
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Created on Fri Sep 8 07:35:08 2023 |
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@author: mohamedazizbhouri |
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""" |
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from matplotlib import pyplot as plt |
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import numpy as np |
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from mpl_toolkits.basemap import Basemap |
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from moviepy.editor import VideoClip |
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from moviepy.video.io.bindings import mplfig_to_npimage |
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plt.rcParams.update(plt.rcParamsDefault) |
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plt.rc('font', family='serif') |
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plt.rcParams.update({'font.size': 16, |
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'lines.linewidth': 2, |
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'axes.labelsize': 20, |
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'axes.titlesize': 20, |
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'xtick.labelsize': 16, |
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'ytick.labelsize': 16, |
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'legend.fontsize': 20, |
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'axes.linewidth': 2, |
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"pgf.texsystem": "pdflatex" |
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}) |
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lat = 96 |
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lon = 144 |
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x = np.linspace(0, 360-360/144, lon) |
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y = np.linspace(-90, 90, lat) |
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X, Y = np.meshgrid(x, y) |
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dim_heat = 26 |
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dim_moist = 22 |
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mu_error_out = np.concatenate((np.zeros((1,dim_heat),dtype=np.float32), |
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np.zeros((1,dim_moist),dtype=np.float32)),axis=1) |
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mu_error_out = mu_error_out.T[:,:,None,None] |
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sigma_error_out = np.concatenate((1/1004.6*np.ones((1,dim_heat),dtype=np.float32), |
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1/2.26e6*np.ones((1,dim_moist),dtype=np.float32)),axis=1) |
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sigma_error_out = sigma_error_out.T[:,:,None,None] |
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y_var = 43 |
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if y_var == 14: |
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ttl = 'Heat tendency at 259 hPa' |
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ttl_s = 'videos/instant_heat_tend_259.mp4' |
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elif y_var == 18: |
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ttl = 'Heat tendency at 494 hPa' |
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ttl_s = 'videos/instant_heat_tend_494.mp4' |
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elif y_var == 21: |
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ttl = 'Heat tendency at 761 hPa' |
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ttl_s = 'videos/instant_heat_tend_761.mp4' |
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elif y_var == 36: |
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ttl = 'Moisture tendency at 259 hPa' |
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ttl_s = 'videos/instant_moist_tend_259.mp4' |
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elif y_var == 40: |
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ttl = 'Moisture tendency at 494 hPa' |
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ttl_s = 'videos/instant_moist_tend_494.mp4' |
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elif y_var == 43: |
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ttl = 'Moisture tendency at 761 hPa' |
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ttl_s = 'videos/instant_moist_tend_761.mp4' |
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test = (np.load('data_SPCAM5_4K/all_outputs_reshaped.npy')[y_var:y_var+1,:,:,:] - mu_error_out) / sigma_error_out |
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test = np.array(test,dtype=np.float64) |
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months = ['Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec', 'Jan'] |
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days = np.array([28, 28+31, 28+31+30, 28+31+30+31, 28+31+30+31+30, 28+31+30+31+30+31, |
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28+31+30+31+30+31+31, 28+31+30+31+30+31+31+30, 28+31+30+31+30+31+31+30+31, |
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28+31+30+31+30+31+31+30+31+30, 28+31+30+31+30+31+31+30+31+30+31, |
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28+31+30+31+30+31+31+30+31+30+31+31]) |
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hours = 24*days |
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std_rpn_MF = np.load('MF_param/mean_RPN_MF_reshaped.npy')[y_var:y_var+1,:,:,:]/ sigma_error_out |
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mean_rpn_MF = (np.load('MF_param/std_RPN_MF_reshaped.npy')[y_var:y_var+1,:,:,:] - mu_error_out) / sigma_error_out |
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mean_rpn_MF = np.array(mean_rpn_MF,dtype=np.float64) |
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std_rpn_MF = np.array(std_rpn_MF,dtype=np.float64) |
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std_rpn_LF = np.load('MF_param/mean_RPN_LF_reshaped.npy')[y_var:y_var+1,:,:,:]/ sigma_error_out |
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mean_rpn_LF = (np.load('MF_param/std_RPN_LF_reshaped.npy')[y_var:y_var+1,:,:,:] - mu_error_out) / sigma_error_out |
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mean_rpn_LF = np.array(mean_rpn_LF,dtype=np.float64) |
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std_rpn_LF = np.array(std_rpn_LF,dtype=np.float64) |
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std_rpn_SF = np.load('SF_param/mean_RPN_SF_reshaped.npy')[y_var:y_var+1,:,:,:]/ sigma_error_out |
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mean_rpn_SF = (np.load('SF_param/std_RPN_SF_reshaped.npy')[y_var:y_var+1,:,:,:] - mu_error_out) / sigma_error_out |
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std_rpn_SF = np.array(std_rpn_SF,dtype=np.float64) |
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mean_rpn_SF = np.array(mean_rpn_SF,dtype=np.float64) |
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MAE_MF = np.abs( test-mean_rpn_MF ) |
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MAE_LF = np.abs( test-mean_rpn_LF ) |
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MAE_SF = np.abs( test-mean_rpn_SF ) |
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N_frame = std_rpn_MF.shape[1] |
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fps = 5 |
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duration = N_frame / fps |
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fig = plt.figure(figsize=(31.5, 14)) |
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def create_fr(t): |
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print(t,int(t*fps)) |
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fig.clf() |
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ax1 = fig.add_subplot(231) |
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ax1.set_title("MF-RPN - MAE") |
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m = Basemap(projection='robin',lon_0=-180) |
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contour_plot = m.pcolormesh(X, Y, MAE_MF[0,int(t*fps),:,:], latlon = True,cmap='Blues_r') |
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m.drawcoastlines(linewidth=2.0, color='0.25') |
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ax2 = fig.add_subplot(234) |
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ax2.set_title("MF-RPN - Uncertainty "+r'$\sigma_M$') |
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m = Basemap(projection='robin',lon_0=-180) |
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contour_plot = m.pcolormesh(X, Y, std_rpn_MF[0,int(t*fps),:,:], latlon = True,cmap='Blues_r') |
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m.drawcoastlines(linewidth=2.0, color='0.25') |
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ax1 = fig.add_subplot(232) |
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ax1.set_title("SF-RPN - MAE") |
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m = Basemap(projection='robin',lon_0=-180) |
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contour_plot = m.pcolormesh(X, Y, MAE_SF[0,int(t*fps),:,:], latlon = True,cmap='Blues_r') |
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m.drawcoastlines(linewidth=2.0, color='0.25') |
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ax2 = fig.add_subplot(235) |
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ax2.set_title("SF-RPN - Uncertainty "+r'$\sigma_M$') |
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m = Basemap(projection='robin',lon_0=-180) |
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contour_plot = m.pcolormesh(X, Y, std_rpn_SF[0,int(t*fps),:,:], latlon = True,cmap='Blues_r') |
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m.drawcoastlines(linewidth=2.0, color='0.25') |
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ax1 = fig.add_subplot(233) |
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ax1.set_title("LF-RPN - MAE") |
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m = Basemap(projection='robin',lon_0=-180) |
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contour_plot = m.pcolormesh(X, Y, MAE_LF[0,int(t*fps),:,:], latlon = True,cmap='Blues_r') |
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m.drawcoastlines(linewidth=2.0, color='0.25') |
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ax2 = fig.add_subplot(236) |
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ax2.set_title("LF-RPN - Uncertainty "+r'$\sigma_M$') |
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m = Basemap(projection='robin',lon_0=-180) |
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contour_plot = m.pcolormesh(X, Y, std_rpn_LF[0,int(t*fps),:,:], latlon = True,cmap='Blues_r') |
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m.drawcoastlines(linewidth=2.0, color='0.25') |
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imonths = np.argmax(hours>int(t*fps)) |
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nhour = int(t*fps) % 24 |
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if nhour<10: |
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nhour = '0'+str(nhour) |
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else: |
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nhour = str(nhour) |
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if imonths == 0: |
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nday = 1+int(t*fps)//24 |
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else: |
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nday = int(t*fps)//24-days[imonths-1]+1 |
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if nday<10: |
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nday = '0'+str(nday) |
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else: |
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nday = str(nday) |
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if imonths == 11: |
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ty = '2004' |
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else: |
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ty = '2003' |
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fig.suptitle(ttl + ' ; '+nday+' '+months[imonths]+' '+ty+' ; '+nhour+':00') |
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plt.margins(x=0) |
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plt.margins(y=0) |
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plt.subplots_adjust(hspace=-0.3) |
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fig.subplots_adjust(top=0.85) |
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plt.tight_layout() |
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fig.canvas.draw() |
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cbar_ax = fig.add_axes([0.05, 0.02, 0.9, 0.05]) |
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cbar = fig.colorbar(contour_plot, orientation='horizontal', cax=cbar_ax) |
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cbar.set_ticks([]) |
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return mplfig_to_npimage(fig) |
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animation = VideoClip(create_fr, duration = duration) |
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animation.write_videofile(ttl_s,fps=fps,threads=16, |
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logger=None,codec="mpeg4",preset="slow",ffmpeg_params=['-b:v','10000k']) |
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