| 1 | #!/usr/bin/env python |
|---|
| 2 | # -*- coding: utf-8 -*- |
|---|
| 3 | import string |
|---|
| 4 | import numpy as np |
|---|
| 5 | import matplotlib.pyplot as plt |
|---|
| 6 | from pylab import * |
|---|
| 7 | from mpl_toolkits.basemap import Basemap |
|---|
| 8 | from mpl_toolkits.basemap import shiftgrid, cm |
|---|
| 9 | from netCDF4 import Dataset |
|---|
| 10 | import scipy.special |
|---|
| 11 | import ffgrid2 |
|---|
| 12 | import map_ffgrid |
|---|
| 13 | import arctic_map # function to regrid coast limits |
|---|
| 14 | import cartesian_grid_test # function to convert grid from polar to cartesian |
|---|
| 15 | |
|---|
| 16 | |
|---|
| 17 | |
|---|
| 18 | |
|---|
| 19 | ############### |
|---|
| 20 | # time period # |
|---|
| 21 | ############### |
|---|
| 22 | month = np.array(['JANUARY', 'FEBRUARY', 'MARCH', 'APRIL', 'MAY', 'JUNE', 'JULY', 'AUGUST', 'SEPTEMBER', 'OCTOBER', 'NOVEMBER', 'DECEMBER']) |
|---|
| 23 | month_day = np.array([31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]) |
|---|
| 24 | M = len(month) |
|---|
| 25 | |
|---|
| 26 | |
|---|
| 27 | |
|---|
| 28 | ######################## |
|---|
| 29 | # grid characteristics # |
|---|
| 30 | ######################## |
|---|
| 31 | x0 = -3000. # min limit of grid |
|---|
| 32 | x1 = 2500. # max limit of grid |
|---|
| 33 | dx = 40. |
|---|
| 34 | xvec = np.arange(x0, x1+dx, dx) |
|---|
| 35 | nx = len(xvec) |
|---|
| 36 | y0 = -3000. # min limit of grid |
|---|
| 37 | y1 = 3000. # max limit of grid |
|---|
| 38 | dy = 40. |
|---|
| 39 | yvec = np.arange(y0, y1+dy, dy) |
|---|
| 40 | ny = len(yvec) |
|---|
| 41 | |
|---|
| 42 | |
|---|
| 43 | |
|---|
| 44 | ############################# |
|---|
| 45 | # grid data from .dat files # |
|---|
| 46 | ############################# |
|---|
| 47 | '''tu = np.zeros([ny, nx, 31, M], float) |
|---|
| 48 | td = np.zeros([ny, nx, 31, M], float) |
|---|
| 49 | tbs = np.zeros([ny, nx, 31, M], float) |
|---|
| 50 | tbl = np.zeros([ny, nx, 31, M], float)''' |
|---|
| 51 | es = np.zeros([ny, nx, 31, M], float) |
|---|
| 52 | el = np.zeros([ny, nx, 31, M], float) |
|---|
| 53 | esl = np.zeros([ny, nx, 31, M], float) |
|---|
| 54 | '''esl00 = np.zeros([ny, nx, 31, M], float) |
|---|
| 55 | esl25 = np.zeros([ny, nx, 31, M], float) |
|---|
| 56 | esl50 = np.zeros([ny, nx, 31, M], float) |
|---|
| 57 | esl75 = np.zeros([ny, nx, 31, M], float) |
|---|
| 58 | esl100 = np.zeros([ny, nx, 31, M], float)''' |
|---|
| 59 | for imo in range (0, M): |
|---|
| 60 | print 'month: ' + month[imo] |
|---|
| 61 | fichier=open('/net/argos/data/parvati/lahlod/ARCTIC/monthly_GLACE/lamb_spec_param_near_nadir_' + month[imo] + '2009_AMSUA50.dat','r') |
|---|
| 62 | numlines = 0 |
|---|
| 63 | for line in fichier: numlines += 1 |
|---|
| 64 | fichier.close |
|---|
| 65 | fichier = open('/net/argos/data/parvati/lahlod/ARCTIC/monthly_GLACE/lamb_spec_param_near_nadir_' + month[imo] + '2009_AMSUA50.dat','r') |
|---|
| 66 | nbtotal = numlines-1 |
|---|
| 67 | iligne = 0 |
|---|
| 68 | jjr = np.zeros([nbtotal],float) |
|---|
| 69 | lat = np.zeros([nbtotal],float) |
|---|
| 70 | lon = np.zeros([nbtotal],float) |
|---|
| 71 | e = np.zeros([nbtotal],float) |
|---|
| 72 | '''ts = np.zeros([nbtotal],float) |
|---|
| 73 | tup = np.zeros([nbtotal],float) |
|---|
| 74 | tdn = np.zeros([nbtotal],float) |
|---|
| 75 | tb = np.zeros([nbtotal],float) |
|---|
| 76 | theta_eff = np.zeros([nbtotal],float) |
|---|
| 77 | opac = np.zeros([nbtotal],float) |
|---|
| 78 | tdn_lamb = np.zeros([nbtotal],float) |
|---|
| 79 | tb_spec = np.zeros([nbtotal],float) |
|---|
| 80 | tb_lamb = np.zeros([nbtotal],float)''' |
|---|
| 81 | e_spec = np.zeros([nbtotal],float) |
|---|
| 82 | e_lamb = np.zeros([nbtotal],float) |
|---|
| 83 | e_spec_lamb = np.zeros([nbtotal],float) |
|---|
| 84 | '''e_sl_00 = np.zeros([nbtotal],float) |
|---|
| 85 | e_sl_25 = np.zeros([nbtotal],float) |
|---|
| 86 | e_sl_50 = np.zeros([nbtotal],float) |
|---|
| 87 | e_sl_75 = np.zeros([nbtotal],float) |
|---|
| 88 | e_sl_100 = np.zeros([nbtotal],float)''' |
|---|
| 89 | while (iligne < nbtotal) : |
|---|
| 90 | line=fichier.readline() |
|---|
| 91 | liste = line.split() |
|---|
| 92 | jjr[iligne] = float(liste[0]) |
|---|
| 93 | lat[iligne] = float(liste[2]) |
|---|
| 94 | lon[iligne] = float(liste[1]) |
|---|
| 95 | e[iligne] = float(liste[5]) |
|---|
| 96 | '''ts[iligne] = float(liste[6]) |
|---|
| 97 | tup[iligne] = float(liste[7]) |
|---|
| 98 | tdn[iligne] = float(liste[8]) |
|---|
| 99 | tb[iligne] = float(liste[10]) |
|---|
| 100 | theta_eff[iligne] = float(liste[12]) |
|---|
| 101 | opac[iligne] = float(liste[11]) |
|---|
| 102 | tdn_lamb[iligne] = float(liste[13]) |
|---|
| 103 | tb_spec[iligne] = float(liste[14]) |
|---|
| 104 | tb_lamb[iligne] = float(liste[15])''' |
|---|
| 105 | e_spec[iligne] = float(liste[16]) |
|---|
| 106 | e_lamb[iligne] = float(liste[17]) |
|---|
| 107 | e_spec_lamb[iligne] = float(liste[18]) |
|---|
| 108 | '''e_sl_00[iligne] = float(liste[19]) |
|---|
| 109 | e_sl_25[iligne] = float(liste[20]) |
|---|
| 110 | e_sl_50[iligne] = float(liste[21]) |
|---|
| 111 | e_sl_75[iligne] = float(liste[22]) |
|---|
| 112 | e_sl_100[iligne] = float(liste[23])''' |
|---|
| 113 | iligne=iligne+1 |
|---|
| 114 | fichier.close() |
|---|
| 115 | '''print 'tup' |
|---|
| 116 | z0 = tup.min() |
|---|
| 117 | z1 = tup.max() |
|---|
| 118 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, tup, z0, z1, dx, dy) |
|---|
| 119 | tup_day = zgrid_output |
|---|
| 120 | tu[:, :, 0 : month_day[imo], imo] = tup_day[:, :, :] |
|---|
| 121 | print 'tdn' |
|---|
| 122 | z0 = tdn.min() |
|---|
| 123 | z1 = tdn.max() |
|---|
| 124 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, tdn, z0, z1, dx, dy) |
|---|
| 125 | tdn_day = zgrid_output |
|---|
| 126 | td[:, :, 0 : month_day[imo], imo] = tdn_day[:, :, :] |
|---|
| 127 | print 'tb spec' |
|---|
| 128 | z0 = tb_spec.min() |
|---|
| 129 | z1 = tb_spec.max() |
|---|
| 130 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, tb_spec, z0, z1, dx, dy) |
|---|
| 131 | tb_spec_day = zgrid_output |
|---|
| 132 | tbs[:, :, 0 : month_day[imo], imo] = tb_spec_day[:, :, :] |
|---|
| 133 | print 'tb lamb' |
|---|
| 134 | z0 = tb_lamb.min() |
|---|
| 135 | z1 = tb_lamb.max() |
|---|
| 136 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, tb_lamb, z0, z1, dx, dy) |
|---|
| 137 | tb_lamb_day = zgrid_output |
|---|
| 138 | tbl[:, :, 0 : month_day[imo], imo] = tb_lamb_day[:, :, :]''' |
|---|
| 139 | print 'emis spec' |
|---|
| 140 | z0 = e_spec.min() |
|---|
| 141 | z1 = e_spec.max() |
|---|
| 142 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, e_spec, z0, z1, dx, dy) |
|---|
| 143 | e_spec_day = zgrid_output |
|---|
| 144 | es[:, :, 0 : month_day[imo], imo] = e_spec_day[:, :, :] |
|---|
| 145 | print 'emis lamb' |
|---|
| 146 | z0 = e_lamb.min() |
|---|
| 147 | z1 = e_lamb.max() |
|---|
| 148 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, e_lamb, z0, z1, dx, dy) |
|---|
| 149 | e_lamb_day = zgrid_output |
|---|
| 150 | el[:, :, 0 : month_day[imo], imo] = e_lamb_day[:, :, :] |
|---|
| 151 | print 'emis spec lamb' |
|---|
| 152 | z0 = e_spec_lamb.min() |
|---|
| 153 | z1 = e_spec_lamb.max() |
|---|
| 154 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, e_spec_lamb, z0, z1, dx, dy) |
|---|
| 155 | e_spec_lamb_day = zgrid_output |
|---|
| 156 | esl[:, :, 0 : month_day[imo], imo] = e_spec_lamb_day[:, :, :] |
|---|
| 157 | '''print 'emis spec lamb 00' |
|---|
| 158 | z0 = e_sl_00.min() |
|---|
| 159 | z1 = e_sl_00.max() |
|---|
| 160 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, e_sl_00, z0, z1, dx, dy) |
|---|
| 161 | e_sl_00_day = zgrid_output |
|---|
| 162 | esl00[:, :, 0 : month_day[imo], imo] = e_sl_00_day[:, :, :] |
|---|
| 163 | print 'emis spec lamb 25' |
|---|
| 164 | z0 = e_sl_25.min() |
|---|
| 165 | z1 = e_sl_25.max() |
|---|
| 166 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, e_sl_25, z0, z1, dx, dy) |
|---|
| 167 | e_sl_25_day = zgrid_output |
|---|
| 168 | esl25[:, :, 0 : month_day[imo], imo] = e_sl_25_day[:, :, :] |
|---|
| 169 | print 'emis spec lamb 50' |
|---|
| 170 | z0 = e_sl_50.min() |
|---|
| 171 | z1 = e_sl_50.max() |
|---|
| 172 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, e_sl_50, z0, z1, dx, dy) |
|---|
| 173 | e_sl_50_day = zgrid_output |
|---|
| 174 | esl50[:, :, 0 : month_day[imo], imo] = e_sl_50_day[:, :, :] |
|---|
| 175 | print 'emis spec lamb 75' |
|---|
| 176 | z0 = e_sl_75.min() |
|---|
| 177 | z1 = e_sl_75.max() |
|---|
| 178 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, e_sl_75, z0, z1, dx, dy) |
|---|
| 179 | e_sl_75_day = zgrid_output |
|---|
| 180 | esl75[:, :, 0 : month_day[imo], imo] = e_sl_75_day[:, :, :] |
|---|
| 181 | print 'emis spec lamb 100' |
|---|
| 182 | z0 = e_sl_100.min() |
|---|
| 183 | z1 = e_sl_100.max() |
|---|
| 184 | zgrid_output, ngrid_output, z2grid_output, sigmagrid_output, xvec, yvec, xgrid_cart, ygrid_cart = cartesian_grid_test.new_cartesian_grid(month_day[imo], jjr, month[imo], lon, lat, e_sl_100, z0, z1, dx, dy) |
|---|
| 185 | e_sl_100_day = zgrid_output |
|---|
| 186 | esl100[:, :, 0 : month_day[imo], imo] = e_sl_100_day[:, :, :]''' |
|---|
| 187 | ############################################### |
|---|
| 188 | # stack gridded data spec lamb in NETCDF file # |
|---|
| 189 | ############################################### |
|---|
| 190 | print 'stacking of gridded data' |
|---|
| 191 | print 'file for ' + month[imo] |
|---|
| 192 | rootgrp = Dataset('/net/argos/data/parvati/lahlod/ARCTIC/monthly_GLACE/gridded_data/cartesian_grid_monthly_data_lamb_spec_near_nadir_AMSUA50_' + month[imo] + '2009.nc', 'w', format='NETCDF3_CLASSIC') |
|---|
| 193 | rootgrp.createDimension('longitude', nx) |
|---|
| 194 | rootgrp.createDimension('latitude', ny) |
|---|
| 195 | rootgrp.createDimension('days', month_day[imo]) |
|---|
| 196 | nc_lon = rootgrp.createVariable('longitude', 'f', ('longitude',)) |
|---|
| 197 | nc_lat = rootgrp.createVariable('latitude', 'f', ('latitude',)) |
|---|
| 198 | nc_day = rootgrp.createVariable('days', 'f', ('days',)) |
|---|
| 199 | '''nc_tup = rootgrp.createVariable('tup', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 200 | nc_tdn = rootgrp.createVariable('tdn', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 201 | nc_tb_spec = rootgrp.createVariable('tb_spec', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 202 | nc_tb_lamb = rootgrp.createVariable('tb_lamb', 'f', ('latitude', 'longitude', 'days'))''' |
|---|
| 203 | nc_e_spec = rootgrp.createVariable('e_spec', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 204 | nc_e_lamb = rootgrp.createVariable('e_lamb', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 205 | nc_e_spec_lamb = rootgrp.createVariable('e_spec_lamb', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 206 | '''nc_e_sl_00 = rootgrp.createVariable('e_mixed_s00', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 207 | nc_e_sl_25 = rootgrp.createVariable('e_mixed_s25', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 208 | nc_e_sl_50 = rootgrp.createVariable('e_mixed_s50', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 209 | nc_e_sl_75 = rootgrp.createVariable('e_mixed_s75', 'f', ('latitude', 'longitude', 'days')) |
|---|
| 210 | nc_e_sl_100 = rootgrp.createVariable('e_mixed_s100', 'f', ('latitude', 'longitude', 'days'))''' |
|---|
| 211 | nc_lon[:] = xvec |
|---|
| 212 | nc_lat[:] = yvec |
|---|
| 213 | '''nc_tup[:] = tu[:, :, 0 : month_day[imo], imo] |
|---|
| 214 | nc_tdn[:] = td[:, :, 0 : month_day[imo], imo] |
|---|
| 215 | nc_tb_spec[:] = tbs[:, :, 0 : month_day[imo], imo] |
|---|
| 216 | nc_tb_lamb[:] = tbl[:, :, 0 : month_day[imo], imo]''' |
|---|
| 217 | nc_e_spec[:] = es[:, :, 0 : month_day[imo], imo] |
|---|
| 218 | nc_e_lamb[:] = el[:, :, 0 : month_day[imo], imo] |
|---|
| 219 | nc_e_spec_lamb[:] = esl[:, :, 0 : month_day[imo], imo] |
|---|
| 220 | '''nc_e_sl_00[:] = esl00[:, :, 0 : month_day[imo], imo] |
|---|
| 221 | nc_e_sl_25[:] = esl25[:, :, 0 : month_day[imo], imo] |
|---|
| 222 | nc_e_sl_50[:] = esl50[:, :, 0 : month_day[imo], imo] |
|---|
| 223 | nc_e_sl_75[:] = esl75[:, :, 0 : month_day[imo], imo] |
|---|
| 224 | nc_e_sl_100[:] = esl100[:, :, 0 : month_day[imo], imo]''' |
|---|
| 225 | rootgrp.close() |
|---|
| 226 | |
|---|
| 227 | |
|---|
| 228 | |
|---|
| 229 | ############################################ |
|---|
| 230 | # scatter plot theta_eff vs zenith_opacity # |
|---|
| 231 | ############################################ |
|---|
| 232 | '''plt.ion() |
|---|
| 233 | plt.figure() |
|---|
| 234 | scatter(opac, theta_eff, alpha = 0.4) |
|---|
| 235 | xlim(0.135, 0.24) |
|---|
| 236 | ylim(54.5, 56.3) |
|---|
| 237 | xlabel('Zenith opacity') |
|---|
| 238 | ylabel('Effective incidence angle (deg)') |
|---|
| 239 | grid(True) |
|---|
| 240 | plt.savefig('/mma/hermozol/Documents/figure_output/scatter_effective_incident_angle_vs_opacity_AMSUB_JANUARY2009.png')''' |
|---|
| 241 | |
|---|
![(please configure the [header_logo] section in trac.ini)](/twice/chrome/site/your_project_logo.png){kind=logo}
