| 1 | #! /usr/bin/env python |
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| 2 | from netCDF4 import Dataset |
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| 3 | from numpy import * |
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| 4 | import numpy as np |
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| 5 | import matplotlib.pyplot as mpl |
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| 6 | from matplotlib.cm import get_cmap |
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| 7 | import pylab |
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| 8 | from matplotlib import ticker |
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| 9 | import matplotlib.colors as colors |
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| 10 | import datetime |
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| 11 | from mpl_toolkits.basemap import Basemap, shiftgrid |
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| 12 | from FV3_utils import * |
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| 13 | from input import * |
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| 14 | |
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| 15 | ############################ |
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| 16 | # folder="../" |
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| 17 | filename1=name+"_A.nc" |
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| 18 | filename2=name+".nc" |
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| 19 | #filename3="../simu_pole/diagfi2015_S.nc" |
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| 20 | var="temperature" #variable |
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| 21 | tint=[30,35] #Time must be as written in the input file |
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| 22 | print("Reading ", filename1, filename2) |
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| 23 | |
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| 24 | nc1=Dataset(filename1) |
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| 25 | nc2=Dataset(filename2) |
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| 26 | #nc3=Dataset(filename3) |
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| 27 | |
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| 28 | |
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| 29 | lat=getvar(nc1,"latitude") |
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| 30 | lon=getvar(nc1,"longitude") |
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| 31 | alt=getvar(nc1,"altitude") |
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| 32 | tim=getvar(nc1,"Time") |
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| 33 | #alt2=nc3.variables["altitude"][:] |
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| 34 | ############################ |
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| 35 | |
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| 36 | def zetotarea(dat): |
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| 37 | |
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| 38 | totarea=0. |
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| 39 | for i in range(size(dat[:,0])): |
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| 40 | for j in range(size(dat[0,:])): |
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| 41 | totarea=totarea+dat[i,j] |
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| 42 | return totarea |
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| 43 | |
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| 44 | def meanarea(dat1,dat2,totarea): |
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| 45 | meandat=np.zeros(dat1.shape[0]) |
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| 46 | for t in range(dat1.shape[0]): |
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| 47 | for i in range(dat1.shape[1]): |
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| 48 | for j in range(dat1.shape[2]): |
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| 49 | meandat[t]=meandat[t]+ma.getdata(dat1[t,i,j])*dat2[i,j]/totarea |
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| 50 | return meandat |
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| 51 | |
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| 52 | |
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| 53 | mpl.figure(figsize=(8, 10)) |
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| 54 | |
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| 55 | myvar=getvar(nc1,var,tint,t_mean=True) |
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| 56 | #myvar2=getvar(nc1,var,tint) |
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| 57 | aire = getvar(nc2,"aire") |
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| 58 | totarea=zetotarea(aire) |
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| 59 | meantemp=meanarea(myvar,aire,totarea) |
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| 60 | #meantemp2=meanarea(myvar2,aire,totarea) |
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| 61 | |
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| 62 | font=23 |
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| 63 | |
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| 64 | lev=np.linspace(40,110,8) |
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| 65 | #xticks=[-90,-60,-30,0,30,60,90] |
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| 66 | #yticks=np.linspace(0,240,9) |
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| 67 | |
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| 68 | mpl.plot(meantemp,alt,'r') |
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| 69 | #mpl.plot(meantemp2,alt2,'b--') |
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| 70 | |
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| 71 | mpl.title('Global mean temperature',fontsize=font) |
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| 72 | mpl.ylabel('Altitude (km)',labelpad=10,fontsize=font) |
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| 73 | mpl.xlabel('Temperature (K)',labelpad=10, fontsize=font) |
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| 74 | #mpl.xticks(xticks,fontsize=font) |
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| 75 | mpl.xticks(fontsize=font) |
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| 76 | #mpl.yticks(yticks,fontsize=font) |
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| 77 | mpl.yticks(fontsize=font) |
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| 78 | mpl.grid() |
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| 79 | # mpl.legend(["Ref","Alt"],prop={'size':27},loc='upper left') |
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| 80 | |
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| 81 | left = 0.2 # the left side of the subplots of the figure |
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| 82 | right = None # the right side of the subplots of the figure |
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| 83 | bottom = None # the bottom of the subplots of the figure |
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| 84 | top = None # the top of the subplots of the figure |
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| 85 | wspace = None # the amount of width reserved for blank space between subplots |
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| 86 | hspace = None # the amount of height reserved for white space between subplots |
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| 87 | mpl.subplots_adjust(left, bottom, right, top, wspace, hspace) |
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| 88 | #mpl.subplots_adjust(hspace = .1) |
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| 89 | |
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| 90 | mpl.savefig('tempmean.eps',dpi=200) |
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| 91 | mpl.savefig('tempmean.png',dpi=200) |
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| 92 | mpl.show() |
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| 93 | |
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| 94 | |
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| 95 | |
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