| 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 | from netCDF4 import Dataset |
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| 10 | import ffgrid2 |
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| 11 | |
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| 12 | |
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| 13 | |
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| 14 | |
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| 15 | ######################## |
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| 16 | # EVOLUTION TEMPORELLE # |
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| 17 | ######################## |
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| 18 | |
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| 19 | ## ZONE1 = Autour de "Dome C" (lon=123.23;lat=-75.06) - mois: JUNE ## |
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| 20 | ## ch17 ## |
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| 21 | #bbzone_CH17_JUN = nonzero((lon17_JUN >= 120.23) & (lon17_JUN <= 126.23) & (lat17_JUN >= -78.06) & (lat17_JUN <= -72.06)) |
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| 22 | |
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| 23 | ## ch18 ## |
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| 24 | #bbzone_CH18_JUN = nonzero((lon18_JUN >= 120.23) & (lon18_JUN <= 126.23) & (lat18_JUN >= -78.06) & (lat18_JUN <= -72.06)) |
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| 25 | |
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| 26 | |
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| 27 | ## ZONE2 = Autre zone de glace de mer / de continent (lon entre -40 et -60 // lat entre -75 et -85) ## |
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| 28 | ## ch17 ## |
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| 29 | bbzone_CH17_FEB = nonzero((lon17_FEB >= -60.) & (lon17_FEB <= -40.) & (lat17_FEB >= -85.) & (lat17_FEB <= -75.)) |
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| 30 | bbzone_CH17_APR = nonzero((lon17_APR >= -60.) & (lon17_APR <= -40.) & (lat17_APR >= -85.) & (lat17_APR <= -75.)) |
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| 31 | bbzone_CH17_MAY = nonzero((lon17_MAY >= -60.) & (lon17_MAY <= -40.) & (lat17_MAY >= -85.) & (lat17_MAY <= -75.)) |
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| 32 | bbzone_CH17_JUN = nonzero((lon17_JUN >= -60.) & (lon17_JUN <= -40.) & (lat17_JUN >= -85.) & (lat17_JUN <= -75.)) |
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| 33 | bbzone_CH17_JUL = nonzero((lon17_JUL >= -60.) & (lon17_JUL <= -40.) & (lat17_JUL >= -85.) & (lat17_JUL <= -75.)) |
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| 34 | |
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| 35 | ## ch18 ## |
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| 36 | #bbzone_CH18_JUN = nonzero((lon18_JUN >= -60.) & (lon18_JUN <= -40.) & (lat18_JUN >= -85.) & (lat18_JUN <= -75.)) |
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| 37 | |
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| 38 | ## ch 16 ## |
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| 39 | #bbzone_CH16_JUN = nonzero((lon16_JUN >= 120.23) & (lon16_JUN <= 126.23) & (lat16_JUN >= -78.06) & (lat16_JUN <= -72.06)) |
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| 40 | |
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| 41 | |
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| 42 | ## FEBUARY ## |
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| 43 | emis17_FEB_moy = np.zeros([28],float) |
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| 44 | tb17_FEB_moy = np.zeros([28],float) |
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| 45 | ts17_FEB_moy = np.zeros([28],float) |
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| 46 | orog17_FEB_moy = np.zeros([28],float) |
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| 47 | for ijr in range (0,28): |
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| 48 | print 'jour=', ijr+1 |
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| 49 | ## ch17 ## |
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| 50 | ind_jr17_FEB = np.where(jjr17_FEB[bbzone_CH17_FEB]==ijr+1)[0] |
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| 51 | a = emis17_FEB[bbzone_CH17_FEB][ind_jr17_FEB] |
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| 52 | b = tb17_FEB[bbzone_CH17_FEB][ind_jr17_FEB] |
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| 53 | c = ts17_FEB[bbzone_CH17_FEB][ind_jr17_FEB] |
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| 54 | d = orog17_FEB[bbzone_CH17_FEB][ind_jr17_FEB] |
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| 55 | emis17_FEB_moy[ijr] = mean(a[nonzero((a!=-500.)&(a<=1.))]) |
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| 56 | tb17_FEB_moy[ijr] = mean(b[nonzero((b!=-500.)&(b!=0.))]) |
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| 57 | ts17_FEB_moy[ijr] = mean(c[nonzero((c!=-500.)&(c!=0.))]) |
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| 58 | orog17_FEB_moy[ijr] = mean(d[nonzero((d!=-500.))]) |
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| 59 | |
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| 60 | |
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| 61 | ## APRIL ## |
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| 62 | emis17_APR_moy = np.zeros([30],float) |
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| 63 | tb17_APR_moy = np.zeros([30],float) |
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| 64 | ts17_APR_moy = np.zeros([30],float) |
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| 65 | orog17_APR_moy = np.zeros([30],float) |
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| 66 | for ijr in range (0,30): |
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| 67 | print 'jour=', ijr+1 |
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| 68 | ind_jr17_APR = np.where(jjr17_APR[bbzone_CH17_APR]==ijr+1)[0] |
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| 69 | a = emis17_APR[bbzone_CH17_APR][ind_jr17_APR] |
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| 70 | b = tb17_APR[bbzone_CH17_APR][ind_jr17_APR] |
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| 71 | c = ts17_APR[bbzone_CH17_APR][ind_jr17_APR] |
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| 72 | d = orog17_APR[bbzone_CH17_APR][ind_jr17_APR] |
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| 73 | emis17_APR_moy[ijr] = mean(a[nonzero((a!=-500.)&(a<=1.))]) |
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| 74 | tb17_APR_moy[ijr] = mean(b[nonzero((b!=-500.)&(b!=0.))]) |
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| 75 | ts17_APR_moy[ijr] = mean(c[nonzero((c!=-500.)&(c!=0.))]) |
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| 76 | orog17_APR_moy[ijr] = mean(d[nonzero((d!=-500.))]) |
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| 77 | |
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| 78 | |
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| 79 | ## MAY ## |
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| 80 | emis17_MAY_moy = np.zeros([31],float) |
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| 81 | tb17_MAY_moy = np.zeros([31],float) |
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| 82 | ts17_MAY_moy = np.zeros([31],float) |
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| 83 | orog17_MAY_moy = np.zeros([31],float) |
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| 84 | for ijr in range (0,31): |
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| 85 | print 'jour=', ijr+1 |
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| 86 | ind_jr17_MAY = np.where(jjr17_MAY[bbzone_CH17_MAY]==ijr+1)[0] |
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| 87 | a = emis17_MAY[bbzone_CH17_MAY][ind_jr17_MAY] |
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| 88 | b = tb17_MAY[bbzone_CH17_MAY][ind_jr17_MAY] |
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| 89 | c = ts17_MAY[bbzone_CH17_MAY][ind_jr17_MAY] |
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| 90 | d = orog17_MAY[bbzone_CH17_MAY][ind_jr17_MAY] |
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| 91 | emis17_MAY_moy[ijr] = mean(a[nonzero((a!=-500.)&(a<=1.))]) |
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| 92 | tb17_MAY_moy[ijr] = mean(b[nonzero((b!=-500.)&(b!=0.))]) |
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| 93 | ts17_MAY_moy[ijr] = mean(c[nonzero((c!=-500.)&(c!=0.))]) |
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| 94 | orog17_MAY_moy[ijr] = mean(d[nonzero((d!=-500.))]) |
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| 95 | |
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| 96 | |
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| 97 | ## JUNE ## |
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| 98 | emis17_JUN_moy = np.zeros([30],float) |
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| 99 | tb17_JUN_moy = np.zeros([30],float) |
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| 100 | ts17_JUN_moy = np.zeros([30],float) |
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| 101 | #orog17_JUN_moy = np.zeros([30],float) |
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| 102 | #emis18_JUN_moy = np.zeros([30],float) |
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| 103 | #tb18_JUN_moy = np.zeros([30],float) |
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| 104 | #ts18_JUN_moy = np.zeros([30],float) |
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| 105 | #emis16_JUN_moy = np.zeros([30],float) |
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| 106 | #tb16_JUN_moy = np.zeros([30],float) |
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| 107 | #ts16_JUN_moy = np.zeros([30],float) |
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| 108 | for ijr in range (0,30): |
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| 109 | print 'jour=', ijr+1 |
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| 110 | ind_jr17_JUN = np.where(jjr17_JUN[bbzone_CH17_JUN]==ijr+1)[0] |
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| 111 | a = emis17_JUN[bbzone_CH17_JUN][ind_jr17_JUN] |
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| 112 | b = tb17_JUN[bbzone_CH17_JUN][ind_jr17_JUN] |
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| 113 | c = ts17_JUN[bbzone_CH17_JUN][ind_jr17_JUN] |
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| 114 | d = orog17_JUN[bbzone_CH17_JUN][ind_jr17_JUN] |
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| 115 | emis17_JUN_moy[ijr] = mean(a[nonzero((a!=-500.)&(a<=1.))]) |
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| 116 | tb17_JUN_moy[ijr] = mean(b[nonzero((b!=-500.)&(b!=0.))]) |
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| 117 | ts17_JUN_moy[ijr] = mean(c[nonzero((c!=-500.)&(c!=0.))]) |
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| 118 | # orog17_JUN_moy[ijr] = mean(d[nonzero((d!=-500.))]) |
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| 119 | ## ch18 ## |
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| 120 | # ind_jr18 = np.where(jjr18_JUN[bbzone_CH18_JUN]==ijr+1)[0] |
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| 121 | # d = emis18_JUN[bbzone_CH18_JUN][ind_jr18] |
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| 122 | # e = tb18_JUN[bbzone_CH18_JUN][ind_jr18] |
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| 123 | # f = ts18_JUN[bbzone_CH18_JUN][ind_jr18] |
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| 124 | # emis18_JUN_moy[ijr] = mean(d[nonzero((d != -500.) & (d <= 1.))]) |
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| 125 | # tb18_JUN_moy[ijr] = mean(e[nonzero((e != -500.) & (e != 0.))]) |
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| 126 | # ts18_JUN_moy[ijr] = mean(f[nonzero((f != -500.) & (f != 0.))]) |
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| 127 | ## ch16 ## |
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| 128 | # ind_jr16 = np.where(jjr16_JUN[bbzone_CH16_JUN]==ijr+1)[0] |
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| 129 | # g = emis16_JUN[bbzone_CH16_JUN][ind_jr16] |
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| 130 | # h = tb16_JUN[bbzone_CH16_JUN][ind_jr16] |
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| 131 | # l = ts16_JUN[bbzone_CH16_JUN][ind_jr16] |
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| 132 | # emis16_JUN_moy[ijr] = mean(g[nonzero((g != -500.) & (g <= 1.))]) |
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| 133 | # tb16_JUN_moy[ijr] = mean(h[nonzero((h != -500.) & (h != 0.))]) |
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| 134 | # ts16_JUN_moy[ijr] = mean(l[nonzero((l != -500.) & (l != 0.))]) |
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| 135 | |
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| 136 | |
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| 137 | ## JULY ## |
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| 138 | emis17_JUL_moy = np.zeros([31],float) |
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| 139 | tb17_JUL_moy = np.zeros([31],float) |
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| 140 | ts17_JUL_moy = np.zeros([31],float) |
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| 141 | orog17_JUL_moy = np.zeros([31],float) |
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| 142 | for ijr in range (0,31): |
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| 143 | print 'jour=', ijr+1 |
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| 144 | ind_jr17_JUL = np.where(jjr17_JUL[bbzone_CH17_JUL]==ijr+1)[0] |
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| 145 | a = emis17_JUL[bbzone_CH17_JUL][ind_jr17_JUL] |
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| 146 | b = tb17_JUL[bbzone_CH17_JUL][ind_jr17_JUL] |
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| 147 | c = ts17_JUL[bbzone_CH17_JUL][ind_jr17_JUL] |
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| 148 | d = orog17_JUL[bbzone_CH17_JUL][ind_jr17_JUL] |
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| 149 | emis17_JUL_moy[ijr] = mean(a[nonzero((a!=-500.)&(a<=1.))]) |
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| 150 | tb17_JUL_moy[ijr] = mean(b[nonzero((b!=-500.)&(b!=0.))]) |
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| 151 | ts17_JUL_moy[ijr] = mean(c[nonzero((c!=-500.)&(c!=0.))]) |
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| 152 | orog17_JUL_moy[ijr] = mean(d[nonzero((d!=-500.))]) |
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| 153 | |
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| 154 | |
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| 155 | ## plot evolution temporelle ## |
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| 156 | ## FEBUARY ## |
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| 157 | fig = plt.figure() |
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| 158 | plt.subplot(3, 1, 1) |
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| 159 | plt.title('FEBUARY') |
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| 160 | plt.plot(arange(0, 28, 1), emis17_FEB_moy, c = 'b') |
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| 161 | plt.ylabel('Emissivity') |
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| 162 | xticks(arange(0, 28, 1), arange(1, 29, 1)) |
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| 163 | xlim (0, 28) |
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| 164 | grid(True) |
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| 165 | plt.subplot(3, 1, 2) |
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| 166 | plt.plot(arange(0, 28, 1), tb17_FEB_moy, c = 'g', label = 'Tb') |
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| 167 | ylabel('Brightness temperature') |
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| 168 | xticks(arange(0, 28, 1), arange(1, 29, 1)) |
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| 169 | xlim (0, 28) |
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| 170 | grid(True) |
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| 171 | plt.subplot(3, 1, 3) |
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| 172 | plt.plot(arange(0, 28, 1), ts17_FEB_moy, c = 'r', label = 'Ts') |
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| 173 | plt.ylabel('Surface temperature') |
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| 174 | xticks(arange(0, 28, 1), arange(1, 29, 1)) |
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| 175 | xlim (0, 28) |
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| 176 | grid(True) |
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| 177 | fig.show() |
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| 178 | |
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| 179 | ## from APRIL to JULY ## |
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| 180 | emis1 = np.append(emis17_APR_moy, emis17_MAY_moy) |
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| 181 | emis2 = np.append(emis1, emis17_JUN_moy) |
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| 182 | emis17_moy = np.append(emis2, emis17_JUL_moy) |
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| 183 | tb1 = np.append(tb17_APR_moy, tb17_MAY_moy) |
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| 184 | tb2 = np.append(tb1, tb17_JUN_moy) |
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| 185 | tb17_moy = np.append(tb2, tb17_JUL_moy) |
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| 186 | ts1 = np.append(ts17_APR_moy, ts17_MAY_moy) |
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| 187 | ts2 = np.append(ts1, ts17_JUN_moy) |
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| 188 | ts17_moy = np.append(ts2, ts17_JUL_moy) |
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| 189 | fig = plt.figure() |
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| 190 | plt.subplot(3, 1, 1) |
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| 191 | plt.plot(arange(0, 122, 1), emis17_moy, c = 'b') |
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| 192 | plt.ylabel('Emissivity') |
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| 193 | xticks(array([0, 30, 61, 91, 122]), date[1:]) |
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| 194 | xlim (0, 122) |
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| 195 | grid(True) |
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| 196 | plt.subplot(3, 1, 2) |
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| 197 | plt.plot(arange(0, 122, 1), tb17_moy, c = 'g', label = 'Tb') |
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| 198 | ylabel('Brightness temperature') |
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| 199 | xticks(array([0, 30, 61, 91, 122]), date[1:]) |
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| 200 | xlim (0, 122) |
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| 201 | grid(True) |
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| 202 | plt.subplot(3, 1, 3) |
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| 203 | plt.plot(arange(0, 122, 1), ts17_moy, c = 'r', label = 'Ts') |
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| 204 | plt.ylabel('Surface temperature') |
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| 205 | xticks(array([0, 30, 61, 91, 122]), date[1:]) |
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| 206 | xlim (0, 122) |
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| 207 | grid(True) |
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| 208 | fig.show() |
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| 209 | |
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| 210 | ## JUNE ## |
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| 211 | ## ch17 - ch18 ## |
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| 212 | fig=plt.figure() |
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| 213 | plt.subplot(3,1,1) |
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| 214 | plt.plot(arange(0,30,1),emis17_JUN_moy,label='91.66GHz-V',c='r') |
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| 215 | plt.plot(arange(0,30,1),emis18_JUN_moy,label='91.66GHz-H',c='b') |
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| 216 | plt.xticks(arange(1,31,1)) |
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| 217 | grid(True) |
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| 218 | ylabel('emissivity') |
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| 219 | legend(loc=7) |
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| 220 | plt.title('SSMIS - JUNE 2010') |
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| 221 | plt.subplot(3,1,2) |
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| 222 | plt.plot(arange(0,30,1),tb17_JUN_moy,label='91.66GHz-V',c='r') |
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| 223 | plt.plot(arange(0,30,1),tb18_JUN_moy,label='91.66GHz-H',c='b') |
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| 224 | plt.xticks(arange(1,31,1)) |
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| 225 | grid(True) |
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| 226 | ylabel('brightness temperature') |
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| 227 | legend(loc=7) |
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| 228 | plt.subplot(3,1,3) |
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| 229 | plt.plot(arange(0,30,1),ts17_JUN_moy,label='91.66GHz-V',c='r') |
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| 230 | plt.plot(arange(0,30,1),ts18_JUN_moy,label='91.66GHz-H',c='b') |
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| 231 | plt.xticks(arange(1,31,1)) |
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| 232 | grid(True) |
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| 233 | ylabel('surface temperature') |
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| 234 | legend(loc=7) |
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| 235 | fig.show() |
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| 236 | ## ch16 - ch17 ## |
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| 237 | fig=plt.figure() |
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| 238 | plt.subplot(3,1,1) |
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| 239 | plt.plot(arange(0,30,1),emis16_JUN_moy,label='37GHz-V',c='r') |
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| 240 | plt.plot(arange(0,30,1),emis17_JUN_moy,label='91.66GHz-V',c='g') |
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| 241 | plt.xticks(arange(1,31,1)) |
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| 242 | grid(True) |
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| 243 | ylabel('emissivity') |
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| 244 | legend(loc=7) |
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| 245 | plt.title('SSMIS - JUNE 2010') |
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| 246 | plt.subplot(3,1,2) |
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| 247 | plt.plot(arange(0,30,1),tb16_JUN_moy,label='37GHz-V',c='r') |
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| 248 | plt.plot(arange(0,30,1),tb17_JUN_moy,label='91.66GHz-V',c='g') |
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| 249 | plt.xticks(arange(1,31,1)) |
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| 250 | grid(True) |
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| 251 | ylabel('brightness temperature') |
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| 252 | legend(loc=7) |
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| 253 | plt.subplot(3,1,3) |
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| 254 | plt.plot(arange(0,30,1),ts16_JUN_moy,label='37GHz-V',c='r') |
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| 255 | plt.plot(arange(0,30,1),ts17_JUN_moy,label='91.66GHz-V',c='g') |
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| 256 | plt.xticks(arange(1,31,1)) |
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| 257 | grid(True) |
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| 258 | ylabel('surface temperature') |
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| 259 | legend(loc=7) |
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| 260 | fig.show() |
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| 261 | |
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| 262 | |
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| 263 | ## calcul anomalie de Tb |
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| 264 | ## FEBUARY ## |
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| 265 | tb17_FEB_anom = np.zeros([28], float) |
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| 266 | for ijr in range (0,28): |
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| 267 | print 'jour=', ijr + 1 |
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| 268 | tb17_FEB_anom[ijr]=tb17_FEB_moy[ijr]-mean(tb17_FEB_moy) |
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| 269 | |
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| 270 | ## APRIL ## |
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| 271 | tb17_APR_anom = np.zeros([30], float) |
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| 272 | for ijr in range (0,30): |
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| 273 | print 'jour=', ijr + 1 |
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| 274 | tb17_APR_anom[ijr]=tb17_APR_moy[ijr]-mean(tb17_APR_moy) |
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| 275 | |
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| 276 | ## MAY ## |
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| 277 | bbnan = nonzero(isnan(tb17_MAY_moy) == False) |
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| 278 | tb17_MAY_anom = np.zeros([31], float) |
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| 279 | for ijr in range (0,31): |
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| 280 | print 'jour=', ijr + 1 |
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| 281 | tb17_MAY_anom[ijr]=tb17_MAY_moy[ijr]-mean(tb17_MAY_moy[bbnan]) |
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| 282 | |
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| 283 | ## JUNE ## |
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| 284 | tb17_JUN_anom = np.zeros([30],float) |
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| 285 | #tb18_JUN_anom = np.zeros([30],float) |
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| 286 | for ijr in range (0,30): |
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| 287 | print 'jour=', ijr + 1 |
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| 288 | tb17_JUN_anom[ijr]=tb17_JUN_moy[ijr]-mean(tb17_JUN_moy) |
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| 289 | # tb18_JUN_anom[ijr]=tb18_JUN_moy[ijr]-mean(tb18_JUN_moy) |
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| 290 | |
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| 291 | ## JULY ## |
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| 292 | tb17_JUL_anom = np.zeros([31],float) |
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| 293 | for ijr in range (0,30): |
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| 294 | print 'jour=', ijr + 1 |
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| 295 | tb17_JUL_anom[ijr]=tb17_JUL_moy[ijr]-mean(tb17_JUL_moy) |
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| 296 | |
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| 297 | |
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| 298 | |
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| 299 | a1 = np.append(tb17_APR_anom, tb17_MAY_anom) |
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| 300 | a2 = np.append(a1, tb17_JUN_anom) |
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| 301 | tb17_month_anom = np.append(a2, tb17_JUL_anom) |
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| 302 | |
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| 303 | |
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| 304 | ## for APRIL to JULY ## |
|---|
| 305 | fig = plt.figure() |
|---|
| 306 | plt.plot(arange(0, 122, 1), tb17_month_anom, c = 'k') |
|---|
| 307 | plt.plot(arange(0, 122, 1), np.zeros([122]), '--', c = 'r') |
|---|
| 308 | ylabel('Tb anomaly (K)') |
|---|
| 309 | xlim(0, 122) |
|---|
| 310 | xticks(array([0, 30, 61, 91 122]), date[1:]) |
|---|
| 311 | grid(True) |
|---|
| 312 | plt.title('SSMIS - zone2') |
|---|
| 313 | fig.show() |
|---|
| 314 | |
|---|
| 315 | ## FEBRUARY ## |
|---|
| 316 | fig = plt.figure() |
|---|
| 317 | plt.plot(arange(0, 28, 1), tb17_FEB_anom, c = 'k') |
|---|
| 318 | plt.plot(arange(0, 28, 1), np.zeros([28]), '--', c = 'r') |
|---|
| 319 | ylabel('Tb anomaly (K)') |
|---|
| 320 | xlim(0, 27) |
|---|
| 321 | xticks(arange(0, 28, 1), arange(1, 29, 1)) |
|---|
| 322 | grid(True) |
|---|
| 323 | plt.xlabel('FABRUARY') |
|---|
| 324 | plt.title('SSMIS - zone2') |
|---|
| 325 | fig.show() |
|---|
| 326 | |
|---|
| 327 | ## JUNE ## |
|---|
| 328 | fig=plt.figure() |
|---|
| 329 | plt.plot(arange(0,30,1),tb17_JUN_anom,label='91.66Ghz-V',c='r') |
|---|
| 330 | plt.plot(arange(0,30,1),tb18_JUN_anom,label='91.66GHz-H',c='b') |
|---|
| 331 | plt.plot(arange(0,31,1),np.zeros([31]),'--',c='k') |
|---|
| 332 | ylabel('Tb anomaly') |
|---|
| 333 | legend() |
|---|
| 334 | twinx().plot(arange(0,30,1),ts17_JUN_moy,label='surface temperature',c='g') |
|---|
| 335 | ylabel('surface temperature') |
|---|
| 336 | plt.xticks(arange(0, 30, 1), arange(1, 31, 1)) |
|---|
| 337 | grid(True) |
|---|
| 338 | plt.title('SSMIS - JUNE 2010') |
|---|
| 339 | fig.show() |
|---|
| 340 | |
|---|
| 341 | |
|---|
| 342 | |
|---|
| 343 | |
|---|
| 344 | ################ |
|---|
| 345 | # CARTOGRAPHIE # |
|---|
| 346 | ################ |
|---|
| 347 | ## Etude sur l'Antarctique ## |
|---|
| 348 | dx=5. |
|---|
| 349 | dy=5. |
|---|
| 350 | x0, x1 = -180, 180 |
|---|
| 351 | y0, y1 = -90, -30 |
|---|
| 352 | |
|---|
| 353 | |
|---|
| 354 | ## FEBRUARY ## |
|---|
| 355 | bbtb_ch17_FEB = nonzero((tb17_FEB != -500.) & (tb17_FEB != 0.)) |
|---|
| 356 | OUTZCH17_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),28], float) |
|---|
| 357 | outzch17_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
|---|
| 358 | lonch17_FEB = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
|---|
| 359 | latch17_FEB = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
|---|
| 360 | for ijr in range(0,28): |
|---|
| 361 | print 'jour=', ijr+1 |
|---|
| 362 | ## ch17 ## |
|---|
| 363 | ind_jr17_FEB = np.where(jjr17_FEB[bbtb_ch17_FEB] == ijr+1)[0] |
|---|
| 364 | xx = lon17_FEB[bbtb_ch17_FEB][ind_jr17_FEB] |
|---|
| 365 | yy = lat17_FEB[bbtb_ch17_FEB][ind_jr17_FEB] |
|---|
| 366 | zz = tb17_FEB[bbtb_ch17_FEB][ind_jr17_FEB] |
|---|
| 367 | zz0 = min(zz) |
|---|
| 368 | zz1 = max(zz) |
|---|
| 369 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
|---|
| 370 | outzch17_FEB = outz |
|---|
| 371 | lonch17_FEB = outx |
|---|
| 372 | latch17_FEB = outy |
|---|
| 373 | OUTZCH17_FEB[:,:,ijr] = outzch17_FEB[:,:] |
|---|
| 374 | |
|---|
| 375 | ## APRIL ## |
|---|
| 376 | bbtb_ch17_APR = nonzero((tb17_APR != -500.) & (tb17_APR != 0.)) |
|---|
| 377 | OUTZCH17_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),30], float) |
|---|
| 378 | outzch17_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
|---|
| 379 | lonch17_APR = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
|---|
| 380 | latch17_APR = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
|---|
| 381 | for ijr in range(0,30): |
|---|
| 382 | print 'jour=', ijr+1 |
|---|
| 383 | ## ch17 ## |
|---|
| 384 | ind_jr17_APR = np.where(jjr17_APR[bbtb_ch17_APR] == ijr+1)[0] |
|---|
| 385 | xx = lon17_APR[bbtb_ch17_APR][ind_jr17_APR] |
|---|
| 386 | yy = lat17_APR[bbtb_ch17_APR][ind_jr17_APR] |
|---|
| 387 | zz = tb17_APR[bbtb_ch17_APR][ind_jr17_APR] |
|---|
| 388 | zz0 = min(zz) |
|---|
| 389 | zz1 = max(zz) |
|---|
| 390 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
|---|
| 391 | outzch17_APR = outz |
|---|
| 392 | lonch17_APR = outx |
|---|
| 393 | latch17_APR = outy |
|---|
| 394 | OUTZCH17_APR[:,:,ijr] = outzch17_APR[:,:] |
|---|
| 395 | |
|---|
| 396 | ## MAY ## |
|---|
| 397 | bbtb_ch17_MAY = nonzero((tb17_MAY != -500.) & (tb17_MAY != 0.)) |
|---|
| 398 | OUTZCH17_MAY = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),31], float) |
|---|
| 399 | outzch17_MAY = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
|---|
| 400 | lonch17_MAY = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
|---|
| 401 | latch17_MAY = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
|---|
| 402 | for ijr in range(0,31): |
|---|
| 403 | print 'jour=', ijr+1 |
|---|
| 404 | ## ch17 ## |
|---|
| 405 | ind_jr17_MAY = np.where(jjr17_MAY[bbtb_ch17_MAY] == ijr+1)[0] |
|---|
| 406 | xx = lon17_MAY[bbtb_ch17_MAY][ind_jr17_MAY] |
|---|
| 407 | yy = lat17_MAY[bbtb_ch17_MAY][ind_jr17_MAY] |
|---|
| 408 | zz = tb17_MAY[bbtb_ch17_MAY][ind_jr17_MAY] |
|---|
| 409 | zz0 = min(zz) |
|---|
| 410 | zz1 = max(zz) |
|---|
| 411 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
|---|
| 412 | outzch17_MAY = outz |
|---|
| 413 | lonch17_MAY = outx |
|---|
| 414 | latch17_MAY = outy |
|---|
| 415 | OUTZCH17_MAY[:,:,ijr] = outzch17_MAY[:,:] |
|---|
| 416 | |
|---|
| 417 | ## JUNE ## |
|---|
| 418 | ## ch17 ## |
|---|
| 419 | bbtb_ch17_JUN = nonzero((tb17_JUN != -500.) & (tb17_JUN != 0.)) |
|---|
| 420 | OUTZCH17_JUN = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),30], float) |
|---|
| 421 | outzch17_JUN = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
|---|
| 422 | lonch17_JUN = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
|---|
| 423 | latch17_JUN = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
|---|
| 424 | ## ch18 ## |
|---|
| 425 | bbemis_ch18_JUN=nonzero((emis18_JUN!=-500.)&(emis18_JUN<1.)&(emis18_JUN>0.)) |
|---|
| 426 | bbtb_ch18_JUN=nonzero((tb18_JUN!=-500.)&(tb18_JUN!=0.)) |
|---|
| 427 | OUTZCH18_JUN = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),30], float) |
|---|
| 428 | outzch18_JUN = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
|---|
| 429 | lonch18_JUN=np.zeros([len(np.arange(x0, x1+1, dx))], float) |
|---|
| 430 | latch18_JUN=np.zeros([len(np.arange(y0, y1+1, dy))], float) |
|---|
| 431 | for ijr in range(0,30): |
|---|
| 432 | print 'jour=', ijr+1 |
|---|
| 433 | ## ch17 ## |
|---|
| 434 | ind_jr17_JUN = np.where(jjr17_JUN[bbtb_ch17_JUN] == ijr+1)[0] |
|---|
| 435 | xx = lon17_JUN[bbtb_ch17_JUN][ind_jr17_JUN] |
|---|
| 436 | yy = lat17_JUN[bbtb_ch17_JUN][ind_jr17_JUN] |
|---|
| 437 | zz = tb17_JUN[bbtb_ch17_JUN][ind_jr17_JUN] |
|---|
| 438 | zz0 = min(zz) |
|---|
| 439 | zz1 = max(zz) |
|---|
| 440 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
|---|
| 441 | outzch17_JUN = outz |
|---|
| 442 | lonch17_JUN = outx |
|---|
| 443 | latch17_JUN = outy |
|---|
| 444 | OUTZCH17_JUN[:,:,ijr] = outzch17_JUN[:,:] |
|---|
| 445 | ## ch18 ## |
|---|
| 446 | ind_jr18_JUN = np.where(jjr18_JUN[bbtb_ch18_JUN] == ijr+1)[0] |
|---|
| 447 | xx = lon18_JUN[bbtb_ch18_JUN][ind_jr18_JUN] |
|---|
| 448 | yy = lat18_JUN[bbtb_ch18_JUN][ind_jr18_JUN] |
|---|
| 449 | zz = tb18_JUN[bbtb_ch18_JUN][ind_jr18_JUN] |
|---|
| 450 | zz0 = min(zz) |
|---|
| 451 | zz1 = max(zz) |
|---|
| 452 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
|---|
| 453 | outzch18_JUN = outz |
|---|
| 454 | lonch18_JUN = outx |
|---|
| 455 | latch18_JUN = outy |
|---|
| 456 | OUTZCH18_JUN[:,:,ijr] = outzch18_JUN[:,:] |
|---|
| 457 | |
|---|
| 458 | ## JULY ## |
|---|
| 459 | bbtb_ch17_JUL = nonzero((tb17_JUL != -500.) & (tb17_JUL != 0.)) |
|---|
| 460 | OUTZCH17_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),31], float) |
|---|
| 461 | outzch17_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
|---|
| 462 | lonch17_JUL = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
|---|
| 463 | latch17_JUL = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
|---|
| 464 | for ijr in range(0,31): |
|---|
| 465 | print 'jour=', ijr+1 |
|---|
| 466 | ## ch17 ## |
|---|
| 467 | ind_jr17_JUL = np.where(jjr17_JUL[bbtb_ch17_JUL] == ijr+1)[0] |
|---|
| 468 | xx = lon17_JUL[bbtb_ch17_JUL][ind_jr17_JUL] |
|---|
| 469 | yy = lat17_JUL[bbtb_ch17_JUL][ind_jr17_JUL] |
|---|
| 470 | zz = tb17_JUL[bbtb_ch17_JUL][ind_jr17_JUL] |
|---|
| 471 | zz0 = min(zz) |
|---|
| 472 | zz1 = max(zz) |
|---|
| 473 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
|---|
| 474 | outzch17_JUL = outz |
|---|
| 475 | lonch17_JUL = outx |
|---|
| 476 | latch17_JUL = outy |
|---|
| 477 | OUTZCH17_JUL[:,:,ijr] = outzch17_JUL[:,:] |
|---|
| 478 | |
|---|
| 479 | |
|---|
| 480 | ## calcul de la climatologie moyenne sur le mois et anomalie en chaque lon/lat ## |
|---|
| 481 | ## FEBRUARY ## |
|---|
| 482 | mean_outzch17_FEB = np.zeros([len(latch17_FEB), len(lonch17_FEB)], float) |
|---|
| 483 | for ilon in range (0,len(lonch17_FEB)): |
|---|
| 484 | for ilat in range (0,len(latch17_FEB)): |
|---|
| 485 | mean_outzch17_FEB[ilat,ilon] = mean(OUTZCH17_FEB[ilat,ilon,:]) |
|---|
| 486 | |
|---|
| 487 | tbch17_anom_FEB = np.zeros([len(latch17_FEB),len(lonch17_FEB),28], float) |
|---|
| 488 | for ijr in range (0,28): |
|---|
| 489 | tbch17_anom_FEB[:,:,ijr] = OUTZCH17_FEB[:,:,ijr] - mean_outzch17_FEB[:,:] |
|---|
| 490 | |
|---|
| 491 | ## APRIL ## |
|---|
| 492 | mean_outzch17_APR = np.zeros([len(latch17_APR), len(lonch17_APR)], float) |
|---|
| 493 | for ilon in range (0,len(lonch17_APR)): |
|---|
| 494 | for ilat in range (0,len(latch17_APR)): |
|---|
| 495 | mean_outzch17_APR[ilat,ilon] = mean(OUTZCH17_APR[ilat,ilon,:]) |
|---|
| 496 | |
|---|
| 497 | tbch17_anom_APR = np.zeros([len(latch17_APR),len(lonch17_APR),30], float) |
|---|
| 498 | for ijr in range (0,30): |
|---|
| 499 | tbch17_anom_APR[:,:,ijr] = OUTZCH17_APR[:,:,ijr] - mean_outzch17_APR[:,:] |
|---|
| 500 | |
|---|
| 501 | ## MAY ## |
|---|
| 502 | mean_outzch17_MAY = np.zeros([len(latch17_MAY), len(lonch17_MAY)], float) |
|---|
| 503 | for ilon in range (0,len(lonch17_MAY)): |
|---|
| 504 | for ilat in range (0,len(latch17_MAY)): |
|---|
| 505 | mean_outzch17_MAY[ilat,ilon] = mean(OUTZCH17_MAY[ilat,ilon,:]) |
|---|
| 506 | |
|---|
| 507 | tbch17_anom_MAY = np.zeros([len(latch17_MAY),len(lonch17_MAY),31], float) |
|---|
| 508 | for ijr in range (0,31): |
|---|
| 509 | tbch17_anom_MAY[:,:,ijr] = OUTZCH17_MAY[:,:,ijr] - mean_outzch17_MAY[:,:] |
|---|
| 510 | |
|---|
| 511 | |
|---|
| 512 | ## JUNE ## |
|---|
| 513 | ## ch17 ## |
|---|
| 514 | mean_outzch17_JUN = np.zeros([len(latch17_JUN), len(lonch17_JUN)], float) |
|---|
| 515 | for ilon in range (0,len(lonch17_JUN)): |
|---|
| 516 | for ilat in range (0,len(latch17_JUN)): |
|---|
| 517 | mean_outzch17_JUN[ilat,ilon] = OUTZCH17_JUN[ilat,ilon,:].mean() |
|---|
| 518 | |
|---|
| 519 | tbch17_anom_JUN = np.zeros([len(latch17_JUN),len(lonch17_JUN),30], float) |
|---|
| 520 | for ijr in range (0,30): |
|---|
| 521 | tbch17_anom_JUN[:,:,ijr] = OUTZCH17_JUN[:,:,ijr] - mean_outzch17_JUN[:,:] |
|---|
| 522 | |
|---|
| 523 | ## ch18 ## |
|---|
| 524 | mean_outzch18_JUN = np.zeros([len(latch18_JUN), len(lonch18_JUN)], float) |
|---|
| 525 | for ilon in range (0,len(lonch18_JUN)): |
|---|
| 526 | for ilat in range (0,len(latch18_JUN)): |
|---|
| 527 | mean_outzch18_JUN[ilat,ilon] = OUTZCH18_JUN[ilat,ilon,:].mean() |
|---|
| 528 | |
|---|
| 529 | tbch18_anom_JUN = np.zeros([len(latch18_JUN),len(lonch18_JUN),30], float) |
|---|
| 530 | for ijr in range (0,30): |
|---|
| 531 | tbch18_anom_JUN[:,:,ijr] = OUTZCH18_JUN[:,:,ijr] - mean_outzch18_JUN[:,:] |
|---|
| 532 | |
|---|
| 533 | |
|---|
| 534 | |
|---|
| 535 | for ijr in range (23, 30): |
|---|
| 536 | figure() |
|---|
| 537 | plt.ion() |
|---|
| 538 | m = Basemap(llcrnrlon=-60, urcrnrlon=-40, llcrnrlat=-85, urcrnrlat=-75, projection='cyl', resolution='c', fix_aspect=True) |
|---|
| 539 | m.drawcoastlines(linewidth = 1) |
|---|
| 540 | m.drawparallels(np.arange(-85., 75., 2)) |
|---|
| 541 | m.drawmeridians(np.arange(-60., -40., 2)) |
|---|
| 542 | #m.fillcontinents() |
|---|
| 543 | clevs = arange(-25., 5., 0.1) |
|---|
| 544 | xii,yii = m(*np.meshgrid(lonch17_JUN, latch17_JUN)) |
|---|
| 545 | cs = m.contourf(xii, yii, tbch17_anom_JUN[:,:,ijr], clevs, cmap=cm.s3pcpn_l_r) |
|---|
| 546 | cbar = colorbar(cs) |
|---|
| 547 | cbar.set_label('Tb anomaly SSMIS CH17 - JUNE') |
|---|
| 548 | xticks(np.arange(-60., -40., 2)) |
|---|
| 549 | yticks(np.arange(-85., 75., 2)) |
|---|
| 550 | plt.savefig('/usr/home/lahlod/twice_d/figures_output_ANTARC/SSMIS/mean_tb_anomaly_map_'+str(ijr+1)+'JUN_ch17_SSMIS_Zoom_zone2') |
|---|
| 551 | |
|---|
| 552 | |
|---|
| 553 | figure() |
|---|
| 554 | plt.ion() |
|---|
| 555 | m = Basemap(llcrnrlon=-180, urcrnrlon=180, llcrnrlat=-90, urcrnrlat=-30, projection='cyl', resolution='c', fix_aspect=True) |
|---|
| 556 | m.drawcoastlines(linewidth = 1) |
|---|
| 557 | m.drawparallels(np.arange(-90., -30., 20)) |
|---|
| 558 | m.drawmeridians(np.arange(-180., 180., 20)) |
|---|
| 559 | #m.fillcontinents() |
|---|
| 560 | xii,yii = m(*np.meshgrid(lonch17_FEB, latch17_FEB)) |
|---|
| 561 | plt.xticks(arange(-180, 200, 20)) |
|---|
| 562 | plt.yticks(arange(-90, -30, 20)) |
|---|
| 563 | ## ch17 ## |
|---|
| 564 | clevs = arange(150., 270., 1.) |
|---|
| 565 | cs = m.contourf(xii, yii, mean_outzch17_FEB, clevs, cmap=cm.s3pcpn_l_r) |
|---|
| 566 | cbar = colorbar(cs) |
|---|
| 567 | cbar.set_label('Mean Tb FEB [CH17] - SSMIS') |
|---|
| 568 | ## BIAIS ch17-ch18 ## |
|---|
| 569 | biais_JUN = mean_outzch17_JUN - mean_outzch18_JUN |
|---|
| 570 | clevs = arange(0., 45., 1.) |
|---|
| 571 | cs = m.contourf(xii, yii, biais_JUN, clevs, cmap=cm.s3pcpn_l_r) |
|---|
| 572 | cbar = colorbar(cs) |
|---|
| 573 | cbar.set_label('Bias [CH17-CH18] of Mean Tb JUNE - SSMIS') |
|---|
| 574 | |
|---|
| 575 | ## VARIANCE ch17 - ch18 ## |
|---|
| 576 | std1 = np.zeros([len(latch17_JUN), len(lonch17_JUN)], float) |
|---|
| 577 | for ilat in range (0, len(latch17_JUN)): |
|---|
| 578 | for ilon in range (0, len(lonch17_JUN)): |
|---|
| 579 | std1[ilat, ilon] = (mean_outzch17_JUN[ilat, ilon]**2)-(mean_outzch18_JUN[ilat, ilon]**2) |
|---|
| 580 | |
|---|
| 581 | |
|---|
| 582 | N = len(lonch17_JUN)*len(latch17_JUN) |
|---|
| 583 | std_JUN = std1/N |
|---|
| 584 | clevs = arange(0., 25., 0.1) |
|---|
| 585 | cs = m.contourf(xii, yii, std_JUN, clevs, cmap=cm.s3pcpn_l_r) |
|---|
| 586 | cbar = colorbar(cs) |
|---|
| 587 | cbar.set_label('Stantard deviation [CH17-CH18] of Mean Tb JUNE - SSMIS') |
|---|
| 588 | |
|---|
| 589 | |
|---|
| 590 | |
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| 591 | ########################## |
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| 592 | # DIAGRAMME DE HOVMOLLER # |
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| 593 | ########################## |
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| 594 | # shape(tbch17_anom_JUN) = [ilat, ilon, ijr] |
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| 595 | ## FEBRUARY ## |
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| 596 | bbtranche17_FEB = nonzero((latch17_FEB >= -85.) & (latch17_FEB <= -75)) |
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| 597 | mean_tbch17_anom_FEB = np.zeros([len(lonch17_FEB), 28], float) |
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| 598 | for ilon in range (0, len(lonch17_FEB)): |
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| 599 | for ijr in range (0,28): |
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| 600 | mean_tbch17_anom_FEB[ilon,ijr] = mean(tbch17_anom_FEB[bbtranche17_FEB][:,ilon,ijr]) |
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| 601 | |
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| 602 | y_time, x_space = np.meshgrid(arange(0,28,1), lonch17_FEB) |
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| 603 | fig = plt.figure() |
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| 604 | plt.pcolor(x_space, y_time, mean_tbch17_anom_FEB, cmap=cm.s3pcpn_l_r, vmin = -10., vmax = 15.) |
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| 605 | plt.axis([-180., 180., 0, 28]) |
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| 606 | cb = plt.colorbar() |
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| 607 | cb.set_label('Tb anomaly - SSMIS CH17') |
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| 608 | plt.xticks(arange(-180.,200.,40)) |
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| 609 | plt.yticks(arange(0, 28, 1), arange (1, 29, 1)) |
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| 610 | plt.xlabel('longitude') |
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| 611 | plt.ylabel('FEBRUARY 2010') |
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| 612 | |
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| 613 | ## MAY ## |
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| 614 | bbtranche17_MAY = nonzero((latch17_MAY >= -85.) & (latch17_MAY <= -75)) |
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| 615 | mean_tbch17_anom_MAY = np.zeros([len(lonch17_MAY), 31], float) |
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| 616 | for ilon in range (0, len(lonch17_MAY)): |
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| 617 | for ijr in range (0,31): |
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| 618 | mean_tbch17_anom_MAY[ilon,ijr] = mean(tbch17_anom_MAY[bbtranche17_MAY][:,ilon,ijr]) |
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| 619 | |
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| 620 | y_time, x_space = np.meshgrid(arange(0,31,1), lonch17_MAY) |
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| 621 | fig = plt.figure() |
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| 622 | plt.pcolor(x_space, y_time, mean_tbch17_anom_MAY, cmap=cm.s3pcpn_l_r, vmin = -12., vmax = 25.) |
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| 623 | plt.axis([-180., 180., 0, 30]) |
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| 624 | cb = plt.colorbar() |
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| 625 | cb.set_label('Tb anomaly - SSMIS CH17') |
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| 626 | plt.xticks(arange(-180.,200.,40)) |
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| 627 | plt.yticks(arange(0, 30, 1), arange(1,31,1)) |
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| 628 | plt.xlabel('longitude') |
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| 629 | plt.ylabel('MAY 2010') |
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| 630 | |
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| 631 | ## JUNE ## |
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| 632 | bbtranche17_JUN = nonzero((latch17_JUN >= -85.) & (latch17_JUN <= -75)) |
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| 633 | mean_tbch17_anom_JUN = np.zeros([len(lonch17_JUN), 30], float) |
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| 634 | for ilon in range (0, len(lonch17_JUN)): |
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| 635 | for ijr in range (0,30): |
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| 636 | mean_tbch17_anom_JUN[ilon,ijr] = tbch17_anom_JUN[bbtranche17_JUN][:,ilon,ijr].mean() |
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| 637 | |
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| 638 | |
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| 639 | y_time, x_space = np.meshgrid(arange(0,30,1), lonch17_APR) |
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| 640 | fig = plt.figure() |
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| 641 | plt.pcolor(x_space, y_time, mean_tbch17_anom_APR, cmap=cm.s3pcpn_l_r, vmin = -30., vmax = 25.) |
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| 642 | plt.axis([-180., 180., 0, 29]) |
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| 643 | cb = plt.colorbar() |
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| 644 | cb.set_label('Tb anomaly - SSMIS CH17') |
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| 645 | plt.xticks(arange(-180.,220.,40)) |
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| 646 | plt.yticks(arange(0, 30, 1), arange(1,31,1)) |
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| 647 | plt.xlabel('longitude') |
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| 648 | plt.ylabel('JUNE 2010') |
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| 649 | |
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