| 1 | #!/usr/bin/env python |
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| 2 | # -*- coding: utf-8 -*- |
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| 3 | import string |
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| 4 | import numpy as np |
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| 5 | import matplotlib.pyplot as plt |
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| 6 | from pylab import * |
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| 7 | from mpl_toolkits.basemap import Basemap |
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| 8 | from mpl_toolkits.basemap import shiftgrid, cm |
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| 9 | import netCDF4 |
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| 10 | import ffgrid2 |
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| 11 | |
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| 12 | |
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| 13 | ################ fichiers par mois - CH1 ################################################### |
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| 14 | |
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| 15 | f1 = '/net/dedale/usr/dedale/surf/lelod/ANTARC/SSMIS_CH' |
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| 16 | f3 = '_ANTARC_JUNE2010.DAT' |
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| 17 | #date=np.array(['JANUARY', 'FEBRUARY', 'MARCH', 'APRIL', 'MAY', 'JUNE', 'JULY']) |
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| 18 | channel = np.array([12, 13, 15, 16, 17, 18]) |
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| 19 | numlines = np.zeros([len(channel)],int) |
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| 20 | |
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| 21 | for ich in range (0, len(channel)): |
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| 22 | print channel[ich] |
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| 23 | f = f1 + str(channel[ich]) + f3 |
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| 24 | fichier = open(f, 'r') |
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| 25 | numlines[ich] = 0 |
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| 26 | for line in fichier: numlines[ich] += 1 |
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| 27 | |
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| 28 | |
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| 29 | fichier.close() |
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| 30 | |
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| 31 | ich = 2 # 37GHz, H polar |
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| 32 | fichier = open(f1 + str(channel[ich]) + f3, 'r') |
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| 33 | ssmis = np.zeros([18, numlines[ich]], float) |
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| 34 | for iligne in range (0,numlines[ich]): |
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| 35 | line = fichier.readline() |
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| 36 | liste = line.split() |
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| 37 | for j in range(0,18): |
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| 38 | ssmis[j,iligne] = float(liste[j]) |
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| 39 | |
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| 40 | |
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| 41 | fichier.close |
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| 42 | |
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| 43 | |
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| 44 | ssch15_JUN=ssmis |
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| 45 | lon15_JUN=ssch15_JUN[0,:] |
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| 46 | lat15_JUN=ssch15_JUN[1,:] |
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| 47 | jjr15_JUN=ssch15_JUN[4,:] |
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| 48 | ts15_JUN=ssch15_JUN[8,:] |
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| 49 | emis15_JUN=ssch15_JUN[14,:] |
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| 50 | tb15_JUN=ssch15_JUN[13,:] |
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| 51 | tup15_JUN=ssch15_JUN[16,:] |
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| 52 | tdn15_JUN=ssch15_JUN[15,:] |
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| 53 | trans15_JUN=ssch15_JUN[17,:] |
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| 54 | orog15_JUN=ssch15_JUN[11,:] |
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| 55 | |
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| 56 | |
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| 57 | ich = 3 # 37GHz, V polar |
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| 58 | fichier = open(f1 + str(channel[ich]) + f3, 'r') |
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| 59 | ssmis = np.zeros([18, numlines[ich]], float) |
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| 60 | for iligne in range (0,numlines[ich]): |
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| 61 | line = fichier.readline() |
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| 62 | liste = line.split() |
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| 63 | for j in range(0,18): |
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| 64 | ssmis[j,iligne] = float(liste[j]) |
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| 65 | |
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| 66 | |
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| 67 | fichier.close |
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| 68 | |
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| 69 | |
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| 70 | ssch16_JUN=ssmis |
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| 71 | lon16_JUN=ssch16_JUN[0,:] |
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| 72 | lat16_JUN=ssch16_JUN[1,:] |
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| 73 | jjr16_JUN=ssch16_JUN[4,:] |
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| 74 | ts16_JUN=ssch16_JUN[8,:] |
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| 75 | emis16_JUN=ssch16_JUN[14,:] |
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| 76 | tb16_JUN=ssch16_JUN[13,:] |
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| 77 | tup16_JUN=ssch16_JUN[16,:] |
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| 78 | tdn16_JUN=ssch16_JUN[15,:] |
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| 79 | trans16_JUN=ssch16_JUN[17,:] |
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| 80 | orog16_JUN=ssch16_JUN[11,:] |
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| 81 | |
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| 82 | |
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| 83 | ich = 0 # 19.35GHz, H polar |
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| 84 | fichier = open(f1 + str(channel[ich]) + f3, 'r') |
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| 85 | ssmis = np.zeros([18, numlines[ich]], float) |
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| 86 | for iligne in range (0,numlines[ich]-1): |
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| 87 | line = fichier.readline() |
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| 88 | liste = line.split() |
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| 89 | for j in range(0,18): |
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| 90 | ssmis[j,iligne] = float(liste[j]) |
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| 91 | |
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| 92 | |
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| 93 | fichier.close |
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| 94 | |
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| 95 | |
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| 96 | ssch12_JUN=ssmis |
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| 97 | lon12_JUN=ssch12_JUN[0,:] |
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| 98 | lat12_JUN=ssch12_JUN[1,:] |
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| 99 | jjr12_JUN=ssch12_JUN[4,:] |
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| 100 | ts12_JUN=ssch12_JUN[8,:] |
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| 101 | emis12_JUN=ssch12_JUN[14,:] |
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| 102 | tb12_JUN=ssch12_JUN[13,:] |
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| 103 | tup12_JUN=ssch12_JUN[16,:] |
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| 104 | tdn12_JUN=ssch12_JUN[15,:] |
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| 105 | trans12_JUN=ssch12_JUN[17,:] |
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| 106 | orog12_JUN=ssch12_JUN[11,:] |
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| 107 | |
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| 108 | |
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| 109 | ich = 1 # 19.35GHz, V polar |
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| 110 | fichier = open(f1 + str(channel[ich]) + f3, 'r') |
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| 111 | ssmis = np.zeros([18, numlines[ich]], float) |
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| 112 | for iligne in range (0,numlines[ich]-1): |
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| 113 | line = fichier.readline() |
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| 114 | liste = line.split() |
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| 115 | for j in range(0,18): |
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| 116 | ssmis[j,iligne] = float(liste[j]) |
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| 117 | |
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| 118 | |
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| 119 | fichier.close |
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| 120 | |
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| 121 | |
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| 122 | ssch13_JUN=ssmis |
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| 123 | lon13_JUN=ssch13_JUN[0,:] |
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| 124 | lat13_JUN=ssch13_JUN[1,:] |
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| 125 | jjr13_JUN=ssch13_JUN[4,:] |
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| 126 | ts13_JUN=ssch13_JUN[8,:] |
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| 127 | emis13_JUN=ssch13_JUN[14,:] |
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| 128 | tb13_JUN=ssch13_JUN[13,:] |
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| 129 | tup13_JUN=ssch13_JUN[16,:] |
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| 130 | tdn13_JUN=ssch13_JUN[15,:] |
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| 131 | trans13_JUN=ssch13_JUN[17,:] |
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| 132 | orog13_JUN=ssch13_JUN[11,:] |
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| 133 | |
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| 134 | |
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| 135 | ich = 4 # 91.66GHz, V polar |
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| 136 | fichier = open(f1 + str(channel[ich]) + f3, 'r') |
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| 137 | ssmis = np.zeros([18, numlines[ich]], float) |
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| 138 | for iligne in range (0,numlines[ich]-1): |
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| 139 | line = fichier.readline() |
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| 140 | liste = line.split() |
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| 141 | for j in range(0,18): |
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| 142 | ssmis[j,iligne] = float(liste[j]) |
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| 143 | |
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| 144 | |
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| 145 | fichier.close |
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| 146 | |
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| 147 | |
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| 148 | ssch17_JUN=ssmis |
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| 149 | lon17_JUN=ssch17_JUN[0,:] |
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| 150 | lat17_JUN=ssch17_JUN[1,:] |
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| 151 | jjr17_JUN=ssch17_JUN[4,:] |
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| 152 | ts17_JUN=ssch17_JUN[8,:] |
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| 153 | emis17_JUN=ssch17_JUN[14,:] |
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| 154 | tb17_JUN=ssch17_JUN[13,:] |
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| 155 | tup17_JUN=ssch17_JUN[16,:] |
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| 156 | tdn17_JUN=ssch17_JUN[15,:] |
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| 157 | trans17_JUN=ssch17_JUN[17,:] |
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| 158 | orog17_JUN=ssch17_JUN[11,:] |
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| 159 | |
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| 160 | |
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| 161 | ich = 5 # 91.66GHz, V polar |
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| 162 | fichier = open(f1 + str(channel[ich]) + f3, 'r') |
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| 163 | ssmis = np.zeros([18, numlines[ich]], float) |
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| 164 | for iligne in range (0,numlines[ich]-1): |
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| 165 | line = fichier.readline() |
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| 166 | liste = line.split() |
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| 167 | for j in range(0,18): |
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| 168 | ssmis[j,iligne] = float(liste[j]) |
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| 169 | |
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| 170 | |
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| 171 | fichier.close |
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| 172 | |
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| 173 | |
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| 174 | ssch18_JUN=ssmis |
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| 175 | lon18_JUN=ssch18_JUN[0,:] |
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| 176 | lat18_JUN=ssch18_JUN[1,:] |
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| 177 | jjr18_JUN=ssch18_JUN[4,:] |
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| 178 | ts18_JUN=ssch18_JUN[8,:] |
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| 179 | emis18_JUN=ssch18_JUN[14,:] |
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| 180 | tb18_JUN=ssch18_JUN[13,:] |
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| 181 | tup18_JUN=ssch18_JUN[16,:] |
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| 182 | tdn18_JUN=ssch18_JUN[15,:] |
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| 183 | trans18_JUN=ssch18_JUN[17,:] |
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| 184 | orog18_JUN=ssch18_JUN[11,:] |
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| 185 | |
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| 186 | ######################## |
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| 187 | # EVOLUTION TEMPORELLE # |
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| 188 | ######################## |
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| 189 | ## Autour de "Dome C" (lon=123.23;lat=-75.06) - mois: JUNE ## |
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| 190 | ## Autre zone de glace de mer / de continent (lon entre -40 et -60 // lat entre -75 et -85)## |
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| 191 | ## ch17 ## |
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| 192 | #bbzone_CH17_JUN = nonzero((lon17_JUN>=120.23)&(lon17_JUN<=126.23)&(lat17_JUN>=-78.06)&(lat17_JUN<=-72.06)) |
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| 193 | bbzone_CH17_JUN = nonzero((lon17_JUN >= -60.) & (lon17_JUN <= -40.) & (lat17_JUN >= -85.) & (lat17_JUN <= -75.)) |
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| 194 | emis17_JUN_moy = np.zeros([30],float) |
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| 195 | tb17_JUN_moy = np.zeros([30],float) |
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| 196 | ts17_JUN_moy = np.zeros([30],float) |
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| 197 | |
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| 198 | ## ch18 ## |
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| 199 | #bbzone_CH18_JUN = nonzero((lon18_JUN >= 120.23) & (lon18_JUN <= 126.23) & (lat18_JUN >= -78.06) & (lat18_JUN <= -72.06)) |
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| 200 | bbzone_CH18_JUN = nonzero((lon18_JUN >= -60.) & (lon18_JUN <= -40.) & (lat18_JUN >= -85.) & (lat18_JUN <= -75.)) |
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| 201 | emis18_JUN_moy = np.zeros([30],float) |
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| 202 | tb18_JUN_moy = np.zeros([30],float) |
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| 203 | ts18_JUN_moy = np.zeros([30],float) |
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| 204 | |
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| 205 | ## ch 16 ## |
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| 206 | #bbzone_CH16_JUN = nonzero((lon16_JUN >= 120.23) & (lon16_JUN <= 126.23) & (lat16_JUN >= -78.06) & (lat16_JUN <= -72.06)) |
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| 207 | #emis16_JUN_moy = np.zeros([30],float) |
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| 208 | #tb16_JUN_moy = np.zeros([30],float) |
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| 209 | #ts16_JUN_moy = np.zeros([30],float) |
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| 210 | |
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| 211 | for ijr in range (0,30): |
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| 212 | print 'jour=', ijr+1 |
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| 213 | ## ch17 ## |
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| 214 | ind_jr17 = np.where(jjr17_JUN[bbzone_CH17_JUN]==ijr+1)[0] |
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| 215 | a = emis17_JUN[bbzone_CH17_JUN][ind_jr17] |
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| 216 | b = tb17_JUN[bbzone_CH17_JUN][ind_jr17] |
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| 217 | c = ts17_JUN[bbzone_CH17_JUN][ind_jr17] |
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| 218 | emis17_JUN_moy[ijr] = mean(a[nonzero((a!=-500.)&(a<=1.))]) |
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| 219 | tb17_JUN_moy[ijr] = mean(b[nonzero((b!=-500.)&(b!=0.))]) |
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| 220 | ts17_JUN_moy[ijr] = mean(c[nonzero((c!=-500.)&(c!=0.))]) |
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| 221 | ## ch18 ## |
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| 222 | ind_jr18 = np.where(jjr18_JUN[bbzone_CH18_JUN]==ijr+1)[0] |
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| 223 | d = emis18_JUN[bbzone_CH18_JUN][ind_jr18] |
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| 224 | e = tb18_JUN[bbzone_CH18_JUN][ind_jr18] |
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| 225 | f = ts18_JUN[bbzone_CH18_JUN][ind_jr18] |
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| 226 | emis18_JUN_moy[ijr] = mean(d[nonzero((d != -500.) & (d <= 1.))]) |
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| 227 | tb18_JUN_moy[ijr] = mean(e[nonzero((e != -500.) & (e != 0.))]) |
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| 228 | ts18_JUN_moy[ijr] = mean(f[nonzero((f != -500.) & (f != 0.))]) |
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| 229 | ## ch16 ## |
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| 230 | # ind_jr16 = np.where(jjr16_JUN[bbzone_CH16_JUN]==ijr+1)[0] |
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| 231 | # g = emis16_JUN[bbzone_CH16_JUN][ind_jr16] |
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| 232 | # h = tb16_JUN[bbzone_CH16_JUN][ind_jr16] |
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| 233 | # l = ts16_JUN[bbzone_CH16_JUN][ind_jr16] |
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| 234 | # emis16_JUN_moy[ijr] = mean(g[nonzero((g != -500.) & (g <= 1.))]) |
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| 235 | # tb16_JUN_moy[ijr] = mean(h[nonzero((h != -500.) & (h != 0.))]) |
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| 236 | # ts16_JUN_moy[ijr] = mean(l[nonzero((l != -500.) & (l != 0.))]) |
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| 237 | |
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| 238 | |
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| 239 | ## ch17 - ch18 ## |
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| 240 | fig=plt.figure() |
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| 241 | plt.subplot(3,1,1) |
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| 242 | plt.plot(arange(0,30,1),emis17_JUN_moy,label='91.66GHz-V',c='r') |
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| 243 | plt.plot(arange(0,30,1),emis18_JUN_moy,label='91.66GHz-H',c='b') |
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| 244 | plt.xticks(arange(1,31,1)) |
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| 245 | grid(True) |
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| 246 | ylabel('emissivity') |
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| 247 | legend(loc=7) |
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| 248 | plt.title('SSMIS - JUNE 2010') |
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| 249 | plt.subplot(3,1,2) |
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| 250 | plt.plot(arange(0,30,1),tb17_JUN_moy,label='91.66GHz-V',c='r') |
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| 251 | plt.plot(arange(0,30,1),tb18_JUN_moy,label='91.66GHz-H',c='b') |
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| 252 | plt.xticks(arange(1,31,1)) |
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| 253 | grid(True) |
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| 254 | ylabel('brightness temperature') |
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| 255 | legend(loc=7) |
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| 256 | plt.subplot(3,1,3) |
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| 257 | plt.plot(arange(0,30,1),ts17_JUN_moy,label='91.66GHz-V',c='r') |
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| 258 | plt.plot(arange(0,30,1),ts18_JUN_moy,label='91.66GHz-H',c='b') |
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| 259 | plt.xticks(arange(1,31,1)) |
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| 260 | grid(True) |
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| 261 | ylabel('surface temperature') |
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| 262 | legend(loc=7) |
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| 263 | fig.show() |
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| 264 | |
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| 265 | ## ch16 ## |
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| 266 | fig=plt.figure() |
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| 267 | plt.subplot(3,1,1) |
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| 268 | plt.plot(arange(0,30,1),emis16_JUN_moy,label='37GHz-V',c='r') |
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| 269 | plt.plot(arange(0,30,1),emis17_JUN_moy,label='91.66GHz-V',c='g') |
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| 270 | plt.xticks(arange(1,31,1)) |
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| 271 | grid(True) |
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| 272 | ylabel('emissivity') |
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| 273 | legend(loc=7) |
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| 274 | plt.title('SSMIS - JUNE 2010') |
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| 275 | plt.subplot(3,1,2) |
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| 276 | plt.plot(arange(0,30,1),tb16_JUN_moy,label='37GHz-V',c='r') |
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| 277 | plt.plot(arange(0,30,1),tb17_JUN_moy,label='91.66GHz-V',c='g') |
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| 278 | plt.xticks(arange(1,31,1)) |
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| 279 | grid(True) |
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| 280 | ylabel('brightness temperature') |
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| 281 | legend(loc=7) |
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| 282 | plt.subplot(3,1,3) |
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| 283 | plt.plot(arange(0,30,1),ts16_JUN_moy,label='37GHz-V',c='r') |
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| 284 | plt.plot(arange(0,30,1),ts17_JUN_moy,label='91.66GHz-V',c='g') |
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| 285 | plt.xticks(arange(1,31,1)) |
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| 286 | grid(True) |
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| 287 | ylabel('surface temperature') |
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| 288 | legend(loc=7) |
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| 289 | fig.show() |
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| 290 | |
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| 291 | |
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| 292 | |
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| 293 | tb17_JUN_anom = np.zeros([30],float) |
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| 294 | tb18_JUN_anom = np.zeros([30],float) |
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| 295 | for ijr in range (0,30): |
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| 296 | print 'jour=', ijr + 1 |
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| 297 | tb17_JUN_anom[ijr]=tb17_JUN_moy[ijr]-tb17_JUN_moy.mean() |
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| 298 | tb18_JUN_anom[ijr]=tb18_JUN_moy[ijr]-tb18_JUN_moy.mean() |
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| 299 | |
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| 300 | |
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| 301 | fig=plt.figure() |
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| 302 | plt.plot(arange(0,30,1),tb17_JUN_anom,label='91.66Ghz-V',c='r') |
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| 303 | plt.plot(arange(0,30,1),tb18_JUN_anom,label='91.66GHz-H',c='b') |
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| 304 | plt.plot(arange(0,31,1),np.zeros([31]),'--',c='k') |
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| 305 | ylabel('Tb anomaly') |
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| 306 | legend() |
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| 307 | twinx().plot(arange(0,30,1),ts17_JUN_moy,label='surface temperature',c='g') |
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| 308 | ylabel('surface temperature') |
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| 309 | plt.xticks(arange(0, 30, 1), arange(1, 31, 1)) |
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| 310 | grid(True) |
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| 311 | plt.title('SSMIS - JUNE 2010') |
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| 312 | fig.show() |
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| 313 | |
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| 314 | |
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| 315 | |
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| 316 | |
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| 317 | ################ |
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| 318 | # CARTOGRAPHIE # |
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| 319 | ################ |
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| 320 | ## Etude sur l'Antarctique ## |
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| 321 | dx=5. |
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| 322 | dy=5. |
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| 323 | x0, x1 = -180, 180 |
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| 324 | y0, y1 = -90, -30 |
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| 325 | |
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| 326 | ## ch17 ## |
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| 327 | bbemis_ch17_JUN=nonzero((emis17_JUN!=-500.)&(emis17_JUN<1.)&(emis17_JUN>0.)) |
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| 328 | bbtb_ch17_JUN=nonzero((tb17_JUN!=-500.)&(tb17_JUN!=0.)) |
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| 329 | OUTZCH17_JUN = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),30], float) |
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| 330 | outzch17_JUN = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 331 | lonch17_JUN=np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 332 | latch17_JUN=np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 333 | |
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| 334 | ## ch18 ## |
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| 335 | bbemis_ch18_JUN=nonzero((emis18_JUN!=-500.)&(emis18_JUN<1.)&(emis18_JUN>0.)) |
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| 336 | bbtb_ch18_JUN=nonzero((tb18_JUN!=-500.)&(tb18_JUN!=0.)) |
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| 337 | OUTZCH18_JUN = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),30], float) |
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| 338 | outzch18_JUN = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 339 | lonch18_JUN=np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 340 | latch18_JUN=np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 341 | |
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| 342 | for ijr in range(0,30): |
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| 343 | print 'jour=', ijr+1 |
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| 344 | ## ch17 ## |
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| 345 | ind_jr17_JUN = np.where(jjr17_JUN[bbtb_ch17_JUN] == ijr+1)[0] |
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| 346 | xx = lon17_JUN[bbtb_ch17_JUN][ind_jr17_JUN] |
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| 347 | yy = lat17_JUN[bbtb_ch17_JUN][ind_jr17_JUN] |
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| 348 | zz = tb17_JUN[bbtb_ch17_JUN][ind_jr17_JUN] |
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| 349 | zz0 = min(zz) |
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| 350 | zz1 = max(zz) |
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| 351 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 352 | outzch17_JUN = outz |
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| 353 | lonch17_JUN = outx |
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| 354 | latch17_JUN = outy |
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| 355 | OUTZCH17_JUN[:,:,ijr] = outzch17_JUN[:,:] |
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| 356 | ## ch18 ## |
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| 357 | ind_jr18_JUN = np.where(jjr18_JUN[bbtb_ch18_JUN] == ijr+1)[0] |
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| 358 | xx = lon18_JUN[bbtb_ch18_JUN][ind_jr18_JUN] |
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| 359 | yy = lat18_JUN[bbtb_ch18_JUN][ind_jr18_JUN] |
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| 360 | zz = tb18_JUN[bbtb_ch18_JUN][ind_jr18_JUN] |
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| 361 | zz0 = min(zz) |
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| 362 | zz1 = max(zz) |
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| 363 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 364 | outzch18_JUN = outz |
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| 365 | lonch18_JUN = outx |
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| 366 | latch18_JUN = outy |
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| 367 | OUTZCH18_JUN[:,:,ijr] = outzch18_JUN[:,:] |
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| 368 | |
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| 369 | |
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| 370 | ## ch17 ## |
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| 371 | mean_outzch17_JUN = np.zeros([len(latch17_JUN), len(lonch17_JUN)], float) |
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| 372 | for ilon in range (0,len(lonch17_JUN)): |
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| 373 | for ilat in range (0,len(latch17_JUN)): |
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| 374 | mean_outzch17_JUN[ilat,ilon] = OUTZCH17_JUN[ilat,ilon,:].mean() |
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| 375 | |
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| 376 | |
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| 377 | ## ch18 ## |
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| 378 | mean_outzch18_JUN = np.zeros([len(latch18_JUN), len(lonch18_JUN)], float) |
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| 379 | for ilon in range (0,len(lonch18_JUN)): |
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| 380 | for ilat in range (0,len(latch18_JUN)): |
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| 381 | mean_outzch18_JUN[ilat,ilon] = OUTZCH18_JUN[ilat,ilon,:].mean() |
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| 382 | |
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| 383 | |
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| 384 | ## ch17 ## |
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| 385 | tbch17_anom_JUN = np.zeros([len(latch17_JUN),len(lonch17_JUN),30], float) |
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| 386 | for ijr in range (0,30): |
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| 387 | tbch17_anom_JUN[:,:,ijr] = OUTZCH17_JUN[:,:,ijr] - mean_outzch17_JUN[:,:] |
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| 388 | |
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| 389 | |
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| 390 | ## ch18 ## |
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| 391 | tbch18_anom_JUN = np.zeros([len(latch18_JUN),len(lonch18_JUN),30], float) |
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| 392 | for ijr in range (0,30): |
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| 393 | tbch18_anom_JUN[:,:,ijr] = OUTZCH18_JUN[:,:,ijr] - mean_outzch18_JUN[:,:] |
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| 394 | |
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| 395 | |
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| 396 | for ijr in range (23, 30): |
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| 397 | figure() |
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| 398 | plt.ion() |
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| 399 | m = Basemap(llcrnrlon=-60, urcrnrlon=-40, llcrnrlat=-85, urcrnrlat=-75, projection='cyl', resolution='c', fix_aspect=True) |
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| 400 | m.drawcoastlines(linewidth = 1) |
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| 401 | m.drawparallels(np.arange(-85., 75., 2)) |
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| 402 | m.drawmeridians(np.arange(-60., -40., 2)) |
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| 403 | #m.fillcontinents() |
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| 404 | clevs = arange(-25., 5., 0.1) |
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| 405 | xii,yii = m(*np.meshgrid(lonch17_JUN, latch17_JUN)) |
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| 406 | cs = m.contourf(xii, yii, tbch17_anom_JUN[:,:,ijr], clevs, cmap=cm.s3pcpn_l_r) |
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| 407 | cbar = colorbar(cs) |
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| 408 | cbar.set_label('Tb anomaly SSMIS CH17 - JUNE') |
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| 409 | xticks(np.arange(-60., -40., 2)) |
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| 410 | yticks(np.arange(-85., 75., 2)) |
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| 411 | plt.savefig('/usr/home/lahlod/twice_d/figures_output_ANTARC/SSMIS/mean_tb_anomaly_map_'+str(ijr+1)+'JUN_ch17_SSMIS_Zoom_zone2') |
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| 412 | |
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| 413 | |
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| 414 | figure() |
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| 415 | plt.ion() |
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| 416 | m = Basemap(llcrnrlon=-180, urcrnrlon=180, llcrnrlat=-90, urcrnrlat=-30, projection='cyl', resolution='c', fix_aspect=True) |
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| 417 | m.drawcoastlines(linewidth = 1) |
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| 418 | m.drawparallels(np.arange(-90., 90., 20)) |
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| 419 | m.drawmeridians(np.arange(-180., 180., 20)) |
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| 420 | #m.fillcontinents() |
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| 421 | xii,yii = m(*np.meshgrid(lonch17_JUN, latch17_JUN)) |
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| 422 | |
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| 423 | ## BIAIS ch17-ch18 ## |
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| 424 | biais_JUN = mean_outzch17_JUN - mean_outzch18_JUN |
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| 425 | clevs = arange(0., 45., 1.) |
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| 426 | cs = m.contourf(xii, yii, biais_JUN, clevs, cmap=cm.s3pcpn_l_r) |
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| 427 | cbar = colorbar(cs) |
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| 428 | cbar.set_label('Bias [CH17-CH18] of Mean Tb JUNE - SSMIS') |
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| 429 | |
|---|
| 430 | ## VARIANCE ch17 - ch18 ## |
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| 431 | std1 = np.zeros([len(latch17_JUN), len(lonch17_JUN)], float) |
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| 432 | for ilat in range (0, len(latch17_JUN)): |
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| 433 | for ilon in range (0, len(lonch17_JUN)): |
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| 434 | std1[ilat, ilon] = (mean_outzch17_JUN[ilat, ilon]**2)-(mean_outzch18_JUN[ilat, ilon]**2) |
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| 435 | |
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| 436 | |
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| 437 | N = len(lonch17_JUN)*len(latch17_JUN) |
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| 438 | std_JUN = std1/N |
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| 439 | clevs = arange(0., 25., 0.1) |
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| 440 | cs = m.contourf(xii, yii, std_JUN, clevs, cmap=cm.s3pcpn_l_r) |
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| 441 | cbar = colorbar(cs) |
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| 442 | cbar.set_label('Stantard deviation [CH17-CH18] of Mean Tb JUNE - SSMIS') |
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| 443 | |
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| 444 | |
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| 445 | |
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| 446 | ########################## |
|---|
| 447 | # DIAGRAMME DE HOVMOLLER # |
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| 448 | ########################## |
|---|
| 449 | |
|---|
| 450 | # shape(tbch17_anom_JUN) = [ilat, ilon, ijr] |
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| 451 | |
|---|
| 452 | ## tranche de latitude étudiée ## |
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| 453 | #bbtranche17_JUN = nonzero((latch17_JUN == -75.)) |
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| 454 | bbtranche17_JUN = nonzero((latch17_JUN >= -85.) & (latch17_JUN <= -75)) |
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| 455 | #bbtranche17_JUN = nonzero((latch17_JUN >= -90.) & (latch17_JUN <= -85)) |
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| 456 | mean_tbch17_anom_JUN = np.zeros([len(lonch17_JUN), 30], float) |
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| 457 | for ilon in range (0, len(lonch17_JUN)): |
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| 458 | for ijr in range (0,30): |
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| 459 | mean_tbch17_anom_JUN[ilon,ijr] = tbch17_anom_JUN[bbtranche17_JUN][:,ilon,ijr].mean() |
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| 460 | |
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| 461 | |
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| 462 | y_time, x_space = m(*np.meshgrid(arange(0,30,1), lonch17_JUN)) |
|---|
| 463 | fig = plt.figure() |
|---|
| 464 | plt.pcolor(x_space, y_time, mean_tbch17_anom_JUN, cmap=cm.s3pcpn_l_r, vmin = -30., vmax = 25.) |
|---|
| 465 | plt.axis([-180., 180., 0, 29]) |
|---|
| 466 | cb = plt.colorbar() |
|---|
| 467 | cb.set_label('Tb anomaly - SSMIS CH17') |
|---|
| 468 | plt.xticks(arange(-180.,220.,40)) |
|---|
| 469 | plt.yticks(arange(0, 30, 1), arange(1,31,1)) |
|---|
| 470 | plt.xlabel('longitude') |
|---|
| 471 | plt.ylabel('JUNE 2010') |
|---|
| 472 | |
|---|
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