RAMS-SCM/test.PlotVerticalProfiles.py at main · smsaleeb/RAMS-SCM · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
# ---
# jupyter:
#   jupytext:
#     text_representation:
#       extension: .py
#       format_name: light
#       format_version: '1.5'
#       jupytext_version: 1.10.0
#   kernelspec:
#     display_name: Python 3
#     language: python
#     name: python3
# ---

# +
###################################################################################################
# Read ASCII text output file from RAMS SCM into numpy arrays and plot some vertical profiles.
###################################################################################################
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
# Setting font parameters for title and axes
font = {'family' : 'verdana',
        'size'   : 16,
        'weight' : 'bold'}
mpl.rc('font', **font)
mpl.rcParams['axes.linewidth'] = 2  #Set the value globally
# Set some fonts here for easy changing
font_axis      = 22
font_suptitle  = 18
font_xylabel   = 22
font_gridlabel = 11
font_colorbar  = 12
font_legend    = 12
font_title     = 18
###################################################################################################
# Function to stop at a certain point in the jupyter notebook cell.
# Use something like 'raise sms.StopExecution' to stop code in a cell when using import
# method above.
class StopExecution(Exception):
    def _render_traceback_(self):
        pass
###################################################################################################
# Set whether to save or show the figure image
plot_to_file=True

# Set variable to plot and in/out directories
varname='rrp'
infile='scm.sedimentation-test.in'
outfile='scm.sedimentation-test.out'

# Read the vertical scalar levels file
f=open(f'{infile}/zt.txt','r')
line = f.readlines()
# Get number of vertical levels (top line is a header to subtract)
numlevs = len(line)-1
# Create array for the levels
ztlev = np.zeros((numlevs),dtype='float32')
# Read the levels to the array
for i in range(len(line)-1):
    value = line[i+1].split()
    ztlev[i] = float(value[-1])
f.close()
ztlev = ztlev / 1000.
#print('Number of vertical levels:',numlevs,ztlev)

# First get the array of times from an output file
f=open(f'{outfile}/{varname}.txt','r')
numtimes=0
while True:
    line = f.readline()
    if not line:
        break
    value = line.split()
    if value[0] == 'Elapsed':
        numtimes+=1
        if numtimes == 1:
            times = np.array([float(value[-1])])
        else:
            times = np.append(times,float(value[-1]))
f.close()
#print('Number of times:',numtimes,times)

# Get the actually data values and place in array that we can plot
vari = np.zeros((numtimes,numlevs),dtype='float32')
tim=-1
lev=-1
count=0
f=open(f'{outfile}/{varname}.txt','r')
while True:
    line = f.readline()
    if not line:
        break
    count+=1
    value = line.split()
    if value[0] == 'Elapsed':
        tim += 1
        lev = -1
    else:
        lev += 1
        vari[tim,lev]=value[-1]
        #print(tim,lev,times[tim],ztlev[lev],vari[tim,lev])
f.close()

if varname == 'rrp':
    vari = vari * 1000. #convert kg/kg to g/kg
    xlabel = 'Rain Mixing Ratio ($g/kg$)'

###################################################################################################
for tim in range(numtimes):
    fig,ax=plt.subplots(nrows=1,ncols=1,figsize=(7,7))
    ax.set_ylabel('Altitude (km)',fontsize=font_xylabel, fontweight='bold')
    ax.set_xlabel(xlabel,fontsize=font_xylabel,fontweight='bold')
    plt.xticks(fontsize=16)
    plt.yticks(fontsize=16)
    ax.set_ylim(ymin=0.0)
    ax.set_yticks(np.arange(0, 5, 1))
    xlimmax = np.max(vari)
    xlimmin = np.min(vari)
    ax.set_xlim([xlimmin,xlimmax])
    ax.set_title(f'{times[tim]} Sec Elapsed Time',fontsize=font_title,fontweight='bold')
    ax.grid()
    ax.plot(vari[tim],ztlev,color='blue',linestyle='solid',linewidth=3)
    fig.patch.set_facecolor('white')
    fig.tight_layout()
    plotname=f'./scm.sedimentation-test.out/Plt.VP.{varname}.t{tim:03d}.png'
    if plot_to_file is True:
        print(tim,plotname)
        fig.savefig(plotname,bbox_inches='tight',pad_inches=0.2,dpi=200)
        plt.close(fig)
    else:
        plt.show()

print('FINISHED')
###################################################################################################
# -