| 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 | len_month = np.array([28, 30, 31]) |
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| 14 | month = np.array(['FEBRUARY', 'APRIL', 'JULY']) |
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| 15 | ################ |
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| 16 | # CARTOGRAPHIE # |
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| 17 | ################ |
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| 18 | ## Etude sur l'Antarctique ## |
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| 19 | dx = 5. |
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| 20 | dy = 5. |
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| 21 | x0, x1 = -180, 180 |
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| 22 | y0, y1 = -90, -30 |
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| 23 | |
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| 24 | |
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| 25 | ## FEBRUARY ## |
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| 26 | imo = 0 |
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| 27 | ## ch12 ## |
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| 28 | bbemis_ch12_FEB = nonzero((emis12_FEB != -500.) & (emis12_FEB <= 1.)) |
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| 29 | OUTZCH12_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 30 | outzch12_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 31 | lonch12_FEB = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 32 | latch12_FEB = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 33 | ## ch13 ## |
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| 34 | bbemis_ch13_FEB = nonzero((emis13_FEB != -500.) & (emis13_FEB <= 1.)) |
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| 35 | OUTZCH13_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 36 | outzch13_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 37 | lonch13_FEB = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 38 | latch13_FEB = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 39 | ## ch17 ## |
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| 40 | bbemis_ch17_FEB = nonzero((emis17_FEB != -500.) & (emis17_FEB <= 1.)) |
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| 41 | OUTZCH17_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 42 | outzch17_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 43 | lonch17_FEB = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 44 | latch17_FEB = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 45 | ## ch18 ## |
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| 46 | bbemis_ch18_FEB = nonzero((emis18_FEB != -500.) & (emis18_FEB <= 1.)) |
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| 47 | OUTZCH18_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 48 | outzch18_FEB = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 49 | lonch18_FEB = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 50 | latch18_FEB = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 51 | for ijr in range (0, len_month[imo]): |
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| 52 | print 'jour=', ijr+1 |
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| 53 | ## ch17 ## |
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| 54 | ind_jr17_FEB = np.where(jjr17_FEB[bbemis_ch17_FEB] == ijr+1)[0] |
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| 55 | xx = lon17_FEB[bbemis_ch17_FEB][ind_jr17_FEB] |
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| 56 | yy = lat17_FEB[bbemis_ch17_FEB][ind_jr17_FEB] |
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| 57 | zz = emis17_FEB[bbemis_ch17_FEB][ind_jr17_FEB] |
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| 58 | zz0 = min(zz) |
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| 59 | zz1 = max(zz) |
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| 60 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 61 | outzch17_FEB = outz |
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| 62 | lonch17_FEB = outx |
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| 63 | latch17_FEB = outy |
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| 64 | OUTZCH17_FEB[:,:,ijr] = outzch17_FEB[:,:] |
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| 65 | ## ch18 ## |
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| 66 | ind_jr18_FEB = np.where(jjr18_FEB[bbemis_ch18_FEB] == ijr+1)[0] |
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| 67 | xx = lon18_FEB[bbemis_ch18_FEB][ind_jr18_FEB] |
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| 68 | yy = lat18_FEB[bbemis_ch18_FEB][ind_jr18_FEB] |
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| 69 | zz = emis18_FEB[bbemis_ch18_FEB][ind_jr18_FEB] |
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| 70 | zz0 = min(zz) |
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| 71 | zz1 = max(zz) |
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| 72 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 73 | outzch18_FEB = outz |
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| 74 | lonch18_FEB = outx |
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| 75 | latch18_FEB = outy |
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| 76 | OUTZCH18_FEB[:,:,ijr] = outzch18_FEB[:,:] |
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| 77 | ## ch12 ## |
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| 78 | ind_jr12_FEB = np.where(jjr12_FEB[bbemis_ch12_FEB] == ijr+1)[0] |
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| 79 | xx = lon12_FEB[bbemis_ch12_FEB][ind_jr12_FEB] |
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| 80 | yy = lat12_FEB[bbemis_ch12_FEB][ind_jr12_FEB] |
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| 81 | zz = emis12_FEB[bbemis_ch12_FEB][ind_jr12_FEB] |
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| 82 | zz0 = min(zz) |
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| 83 | zz1 = max(zz) |
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| 84 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 85 | outzch12_FEB = outz |
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| 86 | lonch12_FEB = outx |
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| 87 | latch12_FEB = outy |
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| 88 | OUTZCH12_FEB[:,:,ijr] = outzch12_FEB[:,:] |
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| 89 | ## ch13 ## |
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| 90 | ind_jr13_FEB = np.where(jjr13_FEB[bbemis_ch13_FEB] == ijr+1)[0] |
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| 91 | xx = lon13_FEB[bbemis_ch13_FEB][ind_jr13_FEB] |
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| 92 | yy = lat13_FEB[bbemis_ch13_FEB][ind_jr13_FEB] |
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| 93 | zz = emis13_FEB[bbemis_ch13_FEB][ind_jr13_FEB] |
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| 94 | zz0 = min(zz) |
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| 95 | zz1 = max(zz) |
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| 96 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 97 | outzch13_FEB = outz |
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| 98 | lonch13_FEB = outx |
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| 99 | latch13_FEB = outy |
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| 100 | OUTZCH13_FEB[:,:,ijr] = outzch13_FEB[:,:] |
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| 101 | |
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| 102 | ## APRIL ## |
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| 103 | imo = 1 |
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| 104 | ## ch12 ## |
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| 105 | bbemis_ch12_APR = nonzero((emis12_APR != -500.) & (emis12_APR <= 1.)) |
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| 106 | OUTZCH12_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 107 | outzch12_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 108 | lonch12_APR = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 109 | latch12_APR = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 110 | ## ch13 ## |
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| 111 | bbemis_ch13_APR = nonzero((emis13_APR != -500.) & (emis13_APR <= 1.)) |
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| 112 | OUTZCH13_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 113 | outzch13_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 114 | lonch13_APR = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 115 | latch13_APR = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 116 | ## ch17 ## |
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| 117 | bbemis_ch17_APR = nonzero((emis17_APR != -500.) & (emis17_APR <= 1.)) |
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| 118 | OUTZCH17_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 119 | outzch17_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 120 | lonch17_APR = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 121 | latch17_APR = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 122 | ## ch18 ## |
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| 123 | bbemis_ch18_APR = nonzero((emis18_APR != -500.) & (emis18_APR <= 1.)) |
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| 124 | OUTZCH18_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 125 | outzch18_APR = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 126 | lonch18_APR = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 127 | latch18_APR = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 128 | for ijr in range (0, len_month[imo]): |
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| 129 | print 'jour=', ijr+1 |
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| 130 | ## ch17 ## |
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| 131 | ind_jr17_APR = np.where(jjr17_APR[bbemis_ch17_APR] == ijr+1)[0] |
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| 132 | xx = lon17_APR[bbemis_ch17_APR][ind_jr17_APR] |
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| 133 | yy = lat17_APR[bbemis_ch17_APR][ind_jr17_APR] |
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| 134 | zz = emis17_APR[bbemis_ch17_APR][ind_jr17_APR] |
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| 135 | zz0 = min(zz) |
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| 136 | zz1 = max(zz) |
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| 137 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 138 | outzch17_APR = outz |
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| 139 | lonch17_APR = outx |
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| 140 | latch17_APR = outy |
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| 141 | OUTZCH17_APR[:,:,ijr] = outzch17_APR[:,:] |
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| 142 | ## ch18 ## |
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| 143 | ind_jr18_APR = np.where(jjr18_APR[bbemis_ch18_APR] == ijr+1)[0] |
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| 144 | xx = lon18_APR[bbemis_ch18_APR][ind_jr18_APR] |
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| 145 | yy = lat18_APR[bbemis_ch18_APR][ind_jr18_APR] |
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| 146 | zz = emis18_APR[bbemis_ch18_APR][ind_jr18_APR] |
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| 147 | zz0 = min(zz) |
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| 148 | zz1 = max(zz) |
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| 149 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 150 | outzch18_APR = outz |
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| 151 | lonch18_APR = outx |
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| 152 | latch18_APR = outy |
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| 153 | OUTZCH18_APR[:,:,ijr] = outzch18_APR[:,:] |
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| 154 | ## ch12 ## |
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| 155 | ind_jr12_APR = np.where(jjr12_APR[bbemis_ch12_APR] == ijr+1)[0] |
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| 156 | xx = lon12_APR[bbemis_ch12_APR][ind_jr12_APR] |
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| 157 | yy = lat12_APR[bbemis_ch12_APR][ind_jr12_APR] |
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| 158 | zz = emis12_APR[bbemis_ch12_APR][ind_jr12_APR] |
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| 159 | zz0 = min(zz) |
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| 160 | zz1 = max(zz) |
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| 161 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 162 | outzch12_APR = outz |
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| 163 | lonch12_APR = outx |
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| 164 | latch12_APR = outy |
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| 165 | OUTZCH12_APR[:,:,ijr] = outzch12_APR[:,:] |
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| 166 | ## ch13 ## |
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| 167 | ind_jr13_APR = np.where(jjr13_APR[bbemis_ch13_APR] == ijr+1)[0] |
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| 168 | xx = lon13_APR[bbemis_ch13_APR][ind_jr13_APR] |
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| 169 | yy = lat13_APR[bbemis_ch13_APR][ind_jr13_APR] |
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| 170 | zz = emis13_APR[bbemis_ch13_APR][ind_jr13_APR] |
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| 171 | zz0 = min(zz) |
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| 172 | zz1 = max(zz) |
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| 173 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 174 | outzch13_APR = outz |
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| 175 | lonch13_APR = outx |
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| 176 | latch13_APR = outy |
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| 177 | OUTZCH13_APR[:,:,ijr] = outzch13_APR[:,:] |
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| 178 | |
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| 179 | |
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| 180 | |
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| 181 | |
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| 182 | ## JULY ## |
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| 183 | imo = 2 |
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| 184 | ## ch12 ## |
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| 185 | bbemis_ch12_JUL = nonzero((emis12_JUL != -500.) & (emis12_JUL <= 1.)) |
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| 186 | OUTZCH12_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 187 | outzch12_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 188 | lonch12_JUL = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 189 | latch12_JUL = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 190 | ## ch13 ## |
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| 191 | bbemis_ch13_JUL = nonzero((emis13_JUL != -500.) & (emis13_JUL <= 1.)) |
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| 192 | OUTZCH13_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 193 | outzch13_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 194 | lonch13_JUL = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 195 | latch13_JUL = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 196 | ## ch17 ## |
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| 197 | bbemis_ch17_JUL = nonzero((emis17_JUL != -500.) & (emis17_JUL <= 1.)) |
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| 198 | OUTZCH17_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 199 | outzch17_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 200 | lonch17_JUL = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 201 | latch17_JUL = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 202 | ## ch18 ## |
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| 203 | bbemis_ch18_JUL = nonzero((emis18_JUL != -500.) & (emis18_JUL <= 1.)) |
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| 204 | OUTZCH18_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx)),len_month[imo]], float) |
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| 205 | outzch18_JUL = np.zeros([len(np.arange(y0, y1+1, dy)),len(np.arange(x0, x1+1, dx))], float) |
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| 206 | lonch18_JUL = np.zeros([len(np.arange(x0, x1+1, dx))], float) |
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| 207 | latch18_JUL = np.zeros([len(np.arange(y0, y1+1, dy))], float) |
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| 208 | for ijr in range (0, len_month[imo]): |
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| 209 | print 'jour=', ijr+1 |
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| 210 | ## ch17 ## |
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| 211 | ind_jr17_JUL = np.where(jjr17_JUL[bbemis_ch17_JUL] == ijr+1)[0] |
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| 212 | xx = lon17_JUL[bbemis_ch17_JUL][ind_jr17_JUL] |
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| 213 | yy = lat17_JUL[bbemis_ch17_JUL][ind_jr17_JUL] |
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| 214 | zz = emis17_JUL[bbemis_ch17_JUL][ind_jr17_JUL] |
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| 215 | zz0 = min(zz) |
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| 216 | zz1 = max(zz) |
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| 217 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 218 | outzch17_JUL = outz |
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| 219 | lonch17_JUL = outx |
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| 220 | latch17_JUL = outy |
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| 221 | OUTZCH17_JUL[:,:,ijr] = outzch17_JUL[:,:] |
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| 222 | ## ch18 ## |
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| 223 | ind_jr18_JUL = np.where(jjr18_JUL[bbemis_ch18_JUL] == ijr+1)[0] |
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| 224 | xx = lon18_JUL[bbemis_ch18_JUL][ind_jr18_JUL] |
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| 225 | yy = lat18_JUL[bbemis_ch18_JUL][ind_jr18_JUL] |
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| 226 | zz = emis18_JUL[bbemis_ch18_JUL][ind_jr18_JUL] |
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| 227 | zz0 = min(zz) |
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| 228 | zz1 = max(zz) |
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| 229 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 230 | outzch18_JUL = outz |
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| 231 | lonch18_JUL = outx |
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| 232 | latch18_JUL = outy |
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| 233 | OUTZCH18_JUL[:,:,ijr] = outzch18_JUL[:,:] |
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| 234 | ## ch12 ## |
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| 235 | ind_jr12_JUL = np.where(jjr12_JUL[bbemis_ch12_JUL] == ijr+1)[0] |
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| 236 | xx = lon12_JUL[bbemis_ch12_JUL][ind_jr12_JUL] |
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| 237 | yy = lat12_JUL[bbemis_ch12_JUL][ind_jr12_JUL] |
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| 238 | zz = emis12_JUL[bbemis_ch12_JUL][ind_jr12_JUL] |
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| 239 | zz0 = min(zz) |
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| 240 | zz1 = max(zz) |
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| 241 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 242 | outzch12_JUL = outz |
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| 243 | lonch12_JUL = outx |
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| 244 | latch12_JUL = outy |
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| 245 | OUTZCH12_JUL[:,:,ijr] = outzch12_JUL[:,:] |
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| 246 | ## ch13 ## |
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| 247 | ind_jr13_JUL = np.where(jjr13_JUL[bbemis_ch13_JUL] == ijr+1)[0] |
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| 248 | xx = lon13_JUL[bbemis_ch13_JUL][ind_jr13_JUL] |
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| 249 | yy = lat13_JUL[bbemis_ch13_JUL][ind_jr13_JUL] |
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| 250 | zz = emis13_JUL[bbemis_ch13_JUL][ind_jr13_JUL] |
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| 251 | zz0 = min(zz) |
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| 252 | zz1 = max(zz) |
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| 253 | outz, outx, outy = ffgrid2.ffgrid(xx, yy, zz, dx, dy, x0, x1, y0, y1, zz0, zz1) |
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| 254 | outzch13_JUL = outz |
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| 255 | lonch13_JUL = outx |
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| 256 | latch13_JUL = outy |
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| 257 | OUTZCH13_JUL[:,:,ijr] = outzch13_JUL[:,:] |
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| 258 | |
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| 259 | |
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| 260 | ################################################ |
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| 261 | ## calcul de la climatologie moyenne par mois ## |
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| 262 | ################################################ |
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| 263 | |
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| 264 | lon = lonch12_FEB = lonch12_APR = lonch12_JUL = lonch13_FEB = lonch13_APR = lonch13_JUL |
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| 265 | lat = latch12_FEB = latch12_APR = latch12_JUL = latch13_FEB = latch13_APR = latch13_JUL |
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| 266 | #lon = lonch17_FEB = lonch17_APR = lonch17_JUL = lonch18_FEB = lonch18_APR = lonch18_JUL |
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| 267 | #lat = latch17_FEB = latch17_APR = latch17_JUL = latch18_FEB = latch18_APR = latch18_JUL |
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| 268 | |
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| 269 | ## FEBRUARY ## |
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| 270 | ## ch12 ## |
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| 271 | mean_outzch12_FEB = np.zeros([len(lat), len(lon)], float) |
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| 272 | for ilon in range (0, len(lon)): |
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| 273 | for ilat in range (0, len(lat)): |
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| 274 | mean_outzch12_FEB[ilat, ilon] = mean(OUTZCH12_FEB[ilat, ilon, :]) |
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| 275 | |
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| 276 | ## ch13 ## |
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| 277 | mean_outzch13_FEB = np.zeros([len(lat), len(lon)], float) |
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| 278 | for ilon in range (0, len(lon)): |
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| 279 | for ilat in range (0, len(lat)): |
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| 280 | mean_outzch13_FEB[ilat, ilon] = mean(OUTZCH13_FEB[ilat, ilon, :]) |
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| 281 | |
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| 282 | ## ch17 ## |
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| 283 | mean_outzch17_FEB = np.zeros([len(lat), len(lon)], float) |
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| 284 | for ilon in range (0, len(lon)): |
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| 285 | for ilat in range (0, len(lat)): |
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| 286 | mean_outzch17_FEB[ilat, ilon] = mean(OUTZCH17_FEB[ilat, ilon, :]) |
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| 287 | |
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| 288 | ## ch18 ## |
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| 289 | mean_outzch18_FEB = np.zeros([len(lat), len(lon)], float) |
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| 290 | for ilon in range (0, len(lon)): |
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| 291 | for ilat in range (0, len(lat)): |
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| 292 | mean_outzch18_FEB[ilat, ilon] = mean(OUTZCH18_FEB[ilat, ilon, :]) |
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| 293 | |
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| 294 | |
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| 295 | ## APRIL ## |
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| 296 | ## ch12 ## |
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| 297 | mean_outzch12_APR = np.zeros([len(lat), len(lon)], float) |
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| 298 | for ilon in range (0, len(lon)): |
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| 299 | for ilat in range (0, len(lat)): |
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| 300 | mean_outzch12_APR[ilat, ilon] = mean(OUTZCH12_APR[ilat, ilon, :][nonzero(isnan(OUTZCH12_APR[ilat, ilon, :]) == False)]) |
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| 301 | |
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| 302 | ## ch13 ## |
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| 303 | mean_outzch13_APR = np.zeros([len(lat), len(lon)], float) |
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| 304 | for ilon in range (0, len(lon)): |
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| 305 | for ilat in range (0, len(lat)): |
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| 306 | mean_outzch13_APR[ilat, ilon] = mean(OUTZCH13_APR[ilat, ilon, :][nonzero(isnan(OUTZCH13_APR[ilat, ilon, :]) == False)]) |
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| 307 | |
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| 308 | ## ch17 ## |
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| 309 | mean_outzch17_APR = np.zeros([len(lat), len(lon)], float) |
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| 310 | for ilon in range (0, len(lon)): |
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| 311 | for ilat in range (0, len(lat)): |
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| 312 | mean_outzch17_APR[ilat, ilon] = mean(OUTZCH17_APR[ilat, ilon, :][nonzero(isnan(OUTZCH17_APR[ilat, ilon, :]) == False)]) |
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| 313 | |
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| 314 | ## ch18 ## |
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| 315 | mean_outzch18_APR = np.zeros([len(lat), len(lon)], float) |
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| 316 | for ilon in range (0, len(lon)): |
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| 317 | for ilat in range (0, len(lat)): |
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| 318 | mean_outzch18_APR[ilat, ilon] = mean(OUTZCH18_APR[ilat, ilon, :][nonzero(isnan(OUTZCH18_APR[ilat, ilon, :]) == False)]) |
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| 319 | |
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| 320 | |
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| 321 | |
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| 322 | ## JULY ## |
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| 323 | ## ch12 ## |
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| 324 | mean_outzch12_JUL = np.zeros([len(lat), len(lon)], float) |
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| 325 | for ilon in range (0, len(lon)): |
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| 326 | for ilat in range (0, len(lat)): |
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| 327 | mean_outzch12_JUL[ilat, ilon] = mean(OUTZCH12_JUL[ilat, ilon, :][nonzero(isnan(OUTZCH12_JUL[ilat, ilon, :]) == False)]) |
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| 328 | |
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| 329 | ## ch13 ## |
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| 330 | mean_outzch13_JUL = np.zeros([len(lat), len(lon)], float) |
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| 331 | for ilon in range (0, len(lon)): |
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| 332 | for ilat in range (0, len(lat)): |
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| 333 | mean_outzch13_JUL[ilat, ilon] = mean(OUTZCH13_JUL[ilat, ilon, :][nonzero(isnan(OUTZCH13_JUL[ilat, ilon, :]) == False)]) |
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| 334 | |
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| 335 | ## ch17 ## |
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| 336 | mean_outzch17_JUL = np.zeros([len(lat), len(lon)], float) |
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| 337 | for ilon in range (0, len(lon)): |
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| 338 | for ilat in range (0, len(lat)): |
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| 339 | mean_outzch17_JUL[ilat, ilon] = mean(OUTZCH17_JUL[ilat, ilon, :][nonzero(isnan(OUTZCH17_JUL[ilat, ilon, :]) == False)]) |
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| 340 | |
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| 341 | ## ch18 ## |
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| 342 | mean_outzch18_JUL = np.zeros([len(lat), len(lon)], float) |
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| 343 | for ilon in range (0, len(lon)): |
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| 344 | for ilat in range (0, len(lat)): |
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| 345 | mean_outzch18_JUL[ilat, ilon] = mean(OUTZCH18_JUL[ilat, ilon, :][nonzero(isnan(OUTZCH18_JUL[ilat, ilon, :]) == False)]) |
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| 346 | |
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| 347 | |
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| 348 | |
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| 349 | ###################### |
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| 350 | ## calculs de stats ## |
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| 351 | ###################### |
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| 352 | |
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| 353 | ### VARIANCE - COVARIANCE ## |
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| 354 | |
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| 355 | ## FEBRUARY ## |
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| 356 | imo = 0 |
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| 357 | ## ch12 ## |
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| 358 | varF12 = np.zeros([len(lat), len(lon)], float) |
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| 359 | for ilon in range (0, len(lon)): |
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| 360 | for ilat in range (0, len(lat)): |
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| 361 | varF12[ilat, ilon] = np.sum((OUTZCH12_FEB[ilat, ilon, :] - mean_outzch12_FEB[ilat, ilon])**2) |
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| 362 | |
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| 363 | var_FEB_12 = varF12 / len_month[imo] |
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| 364 | |
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| 365 | ## ch13 ## |
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| 366 | varF13 = np.zeros([len(lat), len(lon)], float) |
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| 367 | for ilon in range (0, len(lon)): |
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| 368 | for ilat in range (0, len(lat)): |
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| 369 | varF13[ilat, ilon] = np.sum((OUTZCH13_FEB[ilat, ilon, :] - mean_outzch13_FEB[ilat, ilon])**2) |
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| 370 | |
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| 371 | var_FEB_13 = varF13 / len_month[imo] |
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| 372 | |
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| 373 | ## ch12-ch13 ## |
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| 374 | cov_FEB = np.zeros([len(lat), len(lon)], float) |
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| 375 | for ilon in range (0, len(lon)): |
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| 376 | for ilat in range (0, len(lat)): |
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| 377 | cov_FEB[ilat, ilon] = np.sum((OUTZCH12_FEB[ilat, ilon, :] - mean_outzch12_FEB[ilat, ilon])*(OUTZCH13_FEB[ilat, ilon, :] - mean_outzch13_FEB[ilat, ilon])) |
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| 378 | |
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| 379 | cov_FEB_1213 = cov_FEB / len_month[imo] |
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| 380 | |
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| 381 | ## ch17 ## |
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| 382 | varF17 = np.zeros([len(lat), len(lon)], float) |
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| 383 | for ilon in range (0, len(lon)): |
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| 384 | for ilat in range (0, len(lat)): |
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| 385 | varF17[ilat, ilon] = np.sum((OUTZCH17_FEB[ilat, ilon, :] - mean_outzch17_FEB[ilat, ilon])**2) |
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| 386 | |
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| 387 | var_FEB_17 = varF17 / len_month[imo] |
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| 388 | |
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| 389 | ## ch18 ## |
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| 390 | varF18 = np.zeros([len(lat), len(lon)], float) |
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| 391 | for ilon in range (0, len(lon)): |
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| 392 | for ilat in range (0, len(lat)): |
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| 393 | varF18[ilat, ilon] = np.sum((OUTZCH18_FEB[ilat, ilon, :] - mean_outzch18_FEB[ilat, ilon])**2) |
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| 394 | |
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| 395 | var_FEB_18 = varF18 / len_month[imo] |
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| 396 | |
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| 397 | ## ch17-ch18 ## |
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| 398 | cov_FEB = np.zeros([len(lat), len(lon)], float) |
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| 399 | for ilon in range (0, len(lon)): |
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| 400 | for ilat in range (0, len(lat)): |
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| 401 | cov_FEB[ilat, ilon] = np.sum((OUTZCH17_FEB[ilat, ilon, :] - mean_outzch17_FEB[ilat, ilon])*(OUTZCH18_FEB[ilat, ilon, :] - mean_outzch18_FEB[ilat, ilon])) |
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| 402 | |
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| 403 | cov_FEB_1718 = cov_FEB / len_month[imo] |
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| 404 | |
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| 405 | ## ch13-ch17 ## |
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| 406 | cov_FEB = np.zeros([len(lat), len(lon)], float) |
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| 407 | for ilon in range (0, len(lon)): |
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| 408 | for ilat in range (0, len(lat)): |
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| 409 | cov_FEB[ilat, ilon] = np.sum((OUTZCH13_FEB[ilat, ilon, :] - mean_outzch13_FEB[ilat, ilon])*(OUTZCH17_FEB[ilat, ilon, :] - mean_outzch17_FEB[ilat, ilon])) |
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| 410 | |
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| 411 | cov_FEB_1317 = cov_FEB / len_month[imo] |
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| 412 | |
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| 413 | ## ch12-ch18 ## |
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| 414 | cov_FEB = np.zeros([len(lat), len(lon)], float) |
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| 415 | for ilon in range (0, len(lon)): |
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| 416 | for ilat in range (0, len(lat)): |
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| 417 | cov_FEB[ilat, ilon] = np.sum((OUTZCH12_FEB[ilat, ilon, :] - mean_outzch12_FEB[ilat, ilon])*(OUTZCH18_FEB[ilat, ilon, :] - mean_outzch18_FEB[ilat, ilon])) |
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| 418 | |
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| 419 | cov_FEB_1218 = cov_FEB / len_month[imo] |
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| 420 | |
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| 421 | |
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| 422 | ## APRIL ## |
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| 423 | imo = 1 |
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| 424 | ## ch12 ## |
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| 425 | varA12 = np.zeros([len(lat), len(lon)], float) |
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| 426 | for ilon in range (0, len(lon)): |
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| 427 | for ilat in range (0, len(lat)): |
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| 428 | varA12[ilat, ilon] = np.sum((OUTZCH12_APR[ilat, ilon, :] - mean_outzch12_APR[ilat, ilon])**2) |
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| 429 | |
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| 430 | var_APR_12 = varA12 / len_month[imo] |
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| 431 | |
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| 432 | ## ch13 ## |
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| 433 | varA13 = np.zeros([len(lat), len(lon)], float) |
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| 434 | for ilon in range (0, len(lon)): |
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| 435 | for ilat in range (0, len(lat)): |
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| 436 | varA13[ilat, ilon] = np.sum((OUTZCH13_APR[ilat, ilon, :] - mean_outzch13_APR[ilat, ilon])**2) |
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| 437 | |
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| 438 | var_APR_13 = varA13 / len_month[imo] |
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| 439 | |
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| 440 | ## ch17 ## |
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| 441 | varA17 = np.zeros([len(lat), len(lon)], float) |
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| 442 | for ilon in range (0, len(lon)): |
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| 443 | for ilat in range (0, len(lat)): |
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| 444 | varA17[ilat, ilon] = np.sum((OUTZCH17_APR[ilat, ilon, :] - mean_outzch17_APR[ilat, ilon])**2) |
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| 445 | |
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| 446 | var_APR_17 = varA17 / len_month[imo] |
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| 447 | |
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| 448 | ## ch18 ## |
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| 449 | varA18 = np.zeros([len(lat), len(lon)], float) |
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| 450 | for ilon in range (0, len(lon)): |
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| 451 | for ilat in range (0, len(lat)): |
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| 452 | varA18[ilat, ilon] = np.sum((OUTZCH18_APR[ilat, ilon, :] - mean_outzch18_APR[ilat, ilon])**2) |
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| 453 | |
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| 454 | var_APR_18 = varA18 / len_month[imo] |
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| 455 | |
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| 456 | ## ch17-ch18 ## |
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| 457 | cov_APR = np.zeros([len(lat), len(lon)], float) |
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| 458 | for ilon in range (0, len(lon)): |
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| 459 | for ilat in range (0, len(lat)): |
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| 460 | cov_APR[ilat, ilon] = np.sum((OUTZCH17_APR[ilat, ilon, :] - mean_outzch17_APR[ilat, ilon])*(OUTZCH18_APR[ilat, ilon, :] - mean_outzch18_APR[ilat, ilon])) |
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| 461 | |
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| 462 | cov_APR_1718 = cov_APR / len_month[imo] |
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| 463 | |
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| 464 | ## ch12-ch18 ## |
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| 465 | cov_APR = np.zeros([len(lat), len(lon)], float) |
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| 466 | for ilon in range (0, len(lon)): |
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| 467 | for ilat in range (0, len(lat)): |
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| 468 | cov_APR[ilat, ilon] = np.sum((OUTZCH12_APR[ilat, ilon, :] - mean_outzch12_APR[ilat, ilon])*(OUTZCH18_APR[ilat, ilon, :] - mean_outzch18_APR[ilat, ilon])) |
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| 469 | |
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| 470 | cov_APR_1218 = cov_APR / len_month[imo] |
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| 471 | |
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| 472 | |
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| 473 | |
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| 474 | ## JULY ## |
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| 475 | imo = 2 |
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| 476 | ## ch17 ## |
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| 477 | varJ17 = np.zeros([len(lat), len(lon)], float) |
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| 478 | for ilon in range (0, len(lon)): |
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| 479 | for ilat in range (0, len(lat)): |
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| 480 | varJ17[ilat, ilon] = np.sum((OUTZCH17_JUL[ilat, ilon, :][nonzero(isnan(OUTZCH17_JUL[ilat, ilon, :]) == False)] - mean_outzch17_JUL[ilat, ilon])**2) |
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| 481 | |
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| 482 | var_JUL_17 = varJ17 / len_month[imo] |
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| 483 | |
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| 484 | ## ch18 ## |
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| 485 | varJ18 = np.zeros([len(lat), len(lon)], float) |
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| 486 | for ilon in range (0, len(lon)): |
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| 487 | for ilat in range (0, len(lat)): |
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| 488 | varJ18[ilat, ilon] = np.sum((OUTZCH18_JUL[ilat, ilon, :][nonzero(isnan(OUTZCH18_JUL[ilat, ilon, :]) == False)] - mean_outzch18_JUL[ilat, ilon])**2) |
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| 489 | |
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| 490 | var_JUL_18 = varJ18 / len_month[imo] |
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| 491 | |
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| 492 | ## ch17-ch18 ## |
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| 493 | cov_JUL = np.zeros([len(lat), len(lon)], float) |
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| 494 | for ilon in range (0, len(lon)): |
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| 495 | for ilat in range (0, len(lat)): |
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| 496 | cov_JUL[ilat, ilon] = np.sum((OUTZCH17_JUL[ilat, ilon, :][nonzero(isnan(OUTZCH17_JUL[ilat, ilon, :]) == False)] - mean_outzch17_JUL[ilat, ilon]) * (OUTZCH18_JUL[ilat, ilon, :][nonzero(isnan(OUTZCH18_JUL[ilat, ilon, :]) == False)] - mean_outzch18_JUL[ilat, ilon])) |
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| 497 | |
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| 498 | cov_JUL_1718 = cov_JUL / len_month[imo] |
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| 499 | |
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| 500 | |
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| 501 | plt.ion() |
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| 502 | figure() |
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| 503 | m = Basemap(llcrnrlon=-180, urcrnrlon=180, llcrnrlat=-90, urcrnrlat=-30, projection='cyl', resolution='c', fix_aspect=True) |
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| 504 | m.drawcoastlines(linewidth = 1) |
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| 505 | m.drawparallels(np.arange(-90., -30., 20)) |
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| 506 | m.drawmeridians(np.arange(-180., 180., 20)) |
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| 507 | xii,yii = m(*np.meshgrid(lon, lat)) |
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| 508 | clevs = arange(0., 0.0035, 0.00001) |
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| 509 | cs = m.contourf(xii, yii, cov_JUL_1718, clevs, cmap=cm.s3pcpn_l_r) |
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| 510 | cbar = colorbar(cs) |
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| 511 | cbar.set_label('covar(emis) JUL [CH17-CH18] - SSMIS') |
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| 512 | xticks(arange(-180, 200, 20), rotation = 45) |
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| 513 | yticks(arange(-90, -10, 20)) |
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| 514 | |
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| 515 | |
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| 516 | ## BIAIS ## |
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| 517 | |
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| 518 | ## FEBRUARY ## |
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| 519 | biais_FEB_polar1 = mean_outzch12_FEB - mean_outzch13_FEB |
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| 520 | biais_FEB_polar2 = mean_outzch17_FEB - mean_outzch18_FEB |
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| 521 | biais_FEB_freq1 = mean_outzch12_FEB - mean_outzch18_FEB |
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| 522 | biais_FEB_freq2 = mean_outzch13_FEB - mean_outzch17_FEB |
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| 523 | |
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| 524 | ## APRIL ## |
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| 525 | biais_APR_polar1 = mean_outzch12_APR - mean_outzch13_APR |
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| 526 | biais_APR_polar2 = mean_outzch17_APR - mean_outzch18_APR |
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| 527 | |
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| 528 | ## JULY ## |
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| 529 | biais_JUL_polar1 = mean_outzch12_JUL - mean_outzch13_JUL |
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| 530 | biais_JUL_polar2 = mean_outzch17_JUL - mean_outzch18_JUL |
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| 531 | |
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| 532 | |
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| 533 | |
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| 534 | figure() |
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| 535 | m = Basemap(llcrnrlon=-180, urcrnrlon=180, llcrnrlat=-90, urcrnrlat=-30, projection='cyl', resolution='c', fix_aspect=True) |
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| 536 | m.drawcoastlines(linewidth = 1) |
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| 537 | m.drawparallels(np.arange(-90., -30., 20)) |
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| 538 | m.drawmeridians(np.arange(-180., 180., 20)) |
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| 539 | xii,yii = m(*np.meshgrid(lon, lat)) |
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| 540 | clevs = arange(-0.24, 0.32, 0.001) |
|---|
| 541 | cs = m.contourf(xii, yii, biais_FEB_freq2, clevs, cmap=cm.s3pcpn_l_r) |
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| 542 | cbar = colorbar(cs) |
|---|
| 543 | cbar.set_label('biais(emis) FEB [CH13-CH17] - SSMIS') |
|---|
| 544 | xticks(arange(-180, 200, 20), rotation = 45) |
|---|
| 545 | yticks(arange(-90, -10, 20)) |
|---|
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