1 | #!/usr/bin/env python3 |
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2 | |
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3 | import pyoasis |
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4 | from pyoasis import OASIS |
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5 | import numpy as np |
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6 | import math |
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7 | import netCDF4 |
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8 | |
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9 | |
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10 | comp = pyoasis.Component("writer") |
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11 | |
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12 | comm_rank = comp.localcomm.rank |
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13 | comm_size = comp.localcomm.size |
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14 | |
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15 | |
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16 | nx_loc = 18 |
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17 | ny_loc = 18 |
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18 | nx_global = comm_size*nx_loc |
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19 | ny_global = ny_loc |
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20 | |
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21 | dp_conv = math.pi/180. |
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22 | |
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23 | partition = pyoasis.BoxPartition(comm_rank*nx_loc, nx_loc, ny_loc, nx_global) |
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24 | |
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25 | dx = 360.0/nx_global |
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26 | dy = 180.0/ny_global |
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27 | |
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28 | lon = np.array([-180. + comm_rank*nx_loc*dx + float(i)*dx + |
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29 | dx/2.0 for i in range(nx_loc)], dtype=np.float64) |
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30 | lon = np.tile(lon, (ny_loc, 1)).T |
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31 | |
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32 | lat = np.array([-90.0 + float(j)*dy + dy/2.0 for j in range(ny_loc)], |
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33 | dtype=np.float64) |
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34 | lat = np.tile(lat, (nx_loc, 1)) |
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35 | |
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36 | grid = pyoasis.Grid('pyoa', nx_global, ny_global, lon, lat, partition) |
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37 | |
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38 | ncrn = 4 |
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39 | clo = pyoasis.asarray(np.zeros((nx_loc, ny_loc, ncrn), dtype=np.float64)) |
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40 | clo[:, :, 0] = lon[:, :] - dx/2.0 |
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41 | clo[:, :, 1] = lon[:, :] + dx/2.0 |
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42 | clo[:, :, 2] = clo[:, :, 1] |
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43 | clo[:, :, 3] = clo[:, :, 0] |
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44 | cla = pyoasis.asarray(np.zeros((nx_loc, ny_loc, ncrn), dtype=np.float64)) |
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45 | cla[:, :, 0] = lat[:, :] - dy/2.0 |
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46 | cla[:, :, 1] = cla[:, :, 0] |
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47 | cla[:, :, 2] = lat[:, :] + dy/2.0 |
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48 | cla[:, :, 3] = cla[:, :, 2] |
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49 | |
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50 | grid.set_corners(clo, cla) |
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51 | |
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52 | msk = np.zeros((nx_loc, ny_loc), dtype=np.int32) |
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53 | if comm_rank == 0: |
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54 | msk[4:6, 2:16] = 1 |
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55 | msk[6:11, (8, 9, 14, 15)] = 1 |
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56 | msk[11, (8, 9, 10, 13, 14, 15)] = 1 |
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57 | msk[12, 9:15] = 1 |
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58 | msk[13, 10:14] = 1 |
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59 | elif comm_rank == 1: |
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60 | msk[(3, 14), 14:16] = 1 |
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61 | msk[(4, 13), 12:16] = 1 |
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62 | msk[(5, 12), 11:15] = 1 |
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63 | msk[(6, 11), 10:13] = 1 |
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64 | msk[(7, 10), 9:12] = 1 |
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65 | msk[8:10, 2:11] = 1 |
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66 | elif comm_rank == 2: |
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67 | msk[(4, 13), 4:14] = 1 |
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68 | msk[(5, 12), 3:15] = 1 |
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69 | msk[(6, 11), 2:5] = 1 |
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70 | msk[(6, 11), 13:16] = 1 |
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71 | msk[7:11, 2:4] = 1 |
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72 | msk[7:11, 14:16] = 1 |
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73 | |
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74 | grid.set_mask(msk, companion="STFC") |
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75 | |
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76 | frc = np.ones((nx_loc, ny_loc), dtype=np.float64) |
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77 | frc = np.where(msk == 1, 0.0, 1.0) |
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78 | |
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79 | grid.set_frac(frc, companion="STFC") |
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80 | |
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81 | area = np.zeros((nx_loc, ny_loc), dtype=np.float64) |
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82 | area[:, :] = dp_conv * \ |
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83 | np.abs(np.sin(cla[:, :, 2] * dp_conv) - |
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84 | np.sin(cla[:, :, 0] * dp_conv)) * \ |
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85 | np.abs(clo[:, :, 1] - clo[:, :, 0]) |
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86 | |
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87 | grid.set_area(area) |
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88 | |
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89 | angle = np.zeros((nx_loc, ny_loc), dtype=np.float64) |
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90 | |
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91 | grid.set_angle(angle) |
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92 | |
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93 | if comm_rank == 0: |
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94 | nx_mono = 180 |
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95 | ny_mono = 90 |
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96 | dxm = 360.0 / nx_mono |
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97 | dym = 180.0 / ny_mono |
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98 | |
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99 | lonm = np.array([float(i)*dxm + dxm/2.0 for i in range(nx_mono)], |
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100 | dtype=np.float64) |
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101 | lonm = np.tile(lonm, (ny_mono, 1)).T |
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102 | |
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103 | latm = np.array([-90.0 + float(j)*dym + dym/2.0 for j in range(ny_mono)], |
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104 | dtype=np.float64) |
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105 | latm = np.tile(latm, (nx_mono, 1)) |
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106 | |
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107 | grid2 = pyoasis.Grid('mono', nx_mono, ny_mono, lonm, latm) |
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108 | |
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109 | ncrnm = 4 |
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110 | clom = pyoasis.asarray(np.zeros((nx_mono, ny_mono, ncrnm), |
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111 | dtype=np.float64)) |
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112 | clom[:, :, 0] = lonm[:, :] - dxm / 2.0 |
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113 | clom[:, :, 1] = lonm[:, :] + dxm / 2.0 |
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114 | clom[:, :, 2] = clom[:, :, 1] |
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115 | clom[:, :, 3] = clom[:, :, 0] |
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116 | clam = pyoasis.asarray(np.zeros((nx_mono, ny_mono, ncrnm), |
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117 | dtype=np.float64)) |
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118 | clam[:, :, 0] = latm[:, :] - dym / 2.0 |
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119 | clam[:, :, 1] = clam[:, :, 0] |
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120 | clam[:, :, 2] = latm[:, :] + dym / 2.0 |
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121 | clam[:, :, 3] = clam[:, :, 2] |
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122 | grid2.set_corners(clom, clam) |
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123 | |
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124 | mskm = np.zeros((nx_mono, ny_mono), dtype=np.int32) |
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125 | mskm = np.where(np.power(lonm[:, :] - 180., 2) + |
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126 | np.power(latm[:, :], 2) < 30 * 30, 1, 0) |
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127 | grid2.set_mask(mskm) |
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128 | |
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129 | frcm = np.ones((nx_mono, ny_mono), dtype=np.float64) |
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130 | frcm = np.where(mskm == 1, 0.0, 1.0) |
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131 | |
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132 | grid2.set_frac(frcm) |
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133 | |
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134 | aream = np.zeros((nx_mono, ny_mono), dtype=np.float64) |
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135 | aream[:, :] = dp_conv * np.abs(np.sin(clam[:, :, 2] * dp_conv) - |
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136 | np.sin(clam[:, :, 0] * dp_conv) |
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137 | ) * np.abs(clom[:, :, 1]-clom[:, :, 0]) |
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138 | |
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139 | grid2.set_area(aream) |
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140 | |
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141 | anglem = np.zeros((nx_mono, ny_mono), dtype=np.float64) |
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142 | |
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143 | grid2.set_angle(anglem) |
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144 | |
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145 | grid2.write() |
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146 | |
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147 | grid.write() |
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148 | |
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149 | var_out = pyoasis.Var("FSENDOCN", partition, OASIS.OUT) |
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150 | var_in = pyoasis.Var("FRECVATM", partition, OASIS.IN) |
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151 | |
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152 | comp.enddef() |
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153 | |
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154 | date = int(0) |
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155 | field = pyoasis.asarray(msk) |
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156 | var_out.put(date, field) |
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157 | var_in.get(date, field) |
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158 | |
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159 | |
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160 | if comm_rank == 0: |
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161 | gf = netCDF4.Dataset('grids.nc', 'r') |
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162 | if not np.amax(gf.variables["pyoa.lat"]) <= 90: |
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163 | exit(-1) |
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164 | if not np.amin(gf.variables["pyoa.lat"]) >= -90: |
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165 | exit(-1) |
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166 | if not np.amax(gf.variables["pyoa.lon"]) <= 180: |
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167 | exit(-1) |
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168 | if not np.amin(gf.variables["pyoa.lon"]) >= -180: |
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169 | exit(-1) |
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170 | if not np.amax(gf.variables["mono.lat"]) <= 90: |
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171 | exit(-1) |
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172 | if not np.amin(gf.variables["mono.lat"]) >= -90: |
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173 | exit(-1) |
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174 | if not np.amax(gf.variables["mono.lon"]) <= 360: |
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175 | exit(-1) |
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176 | if not np.amin(gf.variables["mono.lon"]) >= 0: |
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177 | exit(-1) |
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178 | |
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179 | mf = netCDF4.Dataset('masks.nc', 'r') |
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180 | mf_msk = mf.variables["mono.msk"] |
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181 | epsilon = 1e-4 |
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182 | for i in range(mf_msk.shape[0]): |
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183 | for j in range(mf_msk.shape[1]): |
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184 | d = math.sqrt((i - mf_msk.shape[0] / 2) ** 2 |
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185 | + (j - mf_msk.shape[1] / 2) ** 2) |
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186 | if d < 14: |
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187 | if abs(mf_msk[i][j] - 1) > epsilon: |
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188 | exit(-1) |
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189 | elif d > 16: |
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190 | if abs(mf_msk[i][j]) > epsilon: |
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191 | exit(-1) |
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192 | |
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193 | af = netCDF4.Dataset('areas.nc', 'r') |
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194 | af_msk = af.variables["pyoa.srf"] |
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195 | for i in range(af_msk.shape[0]): |
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196 | for j in range(af_msk.shape[1]): |
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197 | if abs(af_msk[i][j] - |
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198 | 0.020205 * math.sin((i+0.5) * |
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199 | math.pi / af_msk.shape[0])) > epsilon: |
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200 | exit(-1) |
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201 | |
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202 | af.close() |
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203 | mf.close() |
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204 | gf.close() |
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205 | |
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206 | if comm_rank == 0: |
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207 | print("Writer: successfully ended writing grids") |
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208 | |
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209 | del comp |
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