"""
    Profile ../profile-datasets-py/standard101lev_allgasref/002.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/standard101lev_allgasref/002.py"
self["Q"] = numpy.array([  1.41582000e+00,   2.37264900e+00,   3.18042500e+00,
         3.83218900e+00,   4.38609800e+00,   4.82806700e+00,
         5.13098400e+00,   5.34076700e+00,   5.42990200e+00,
         5.50000000e+00,   5.49910400e+00,   5.45679900e+00,
         5.35390300e+00,   5.22951300e+00,   5.09911400e+00,
         5.03899200e+00,   4.99137500e+00,   4.96524700e+00,
         4.93174500e+00,   4.88663200e+00,   4.84035000e+00,
         4.77794500e+00,   4.71825600e+00,   4.63824000e+00,
         4.55118100e+00,   4.46751700e+00,   4.38791900e+00,
         4.31146800e+00,   4.23772000e+00,   4.13353400e+00,
         3.99776700e+00,   3.90151100e+00,   3.77830500e+00,
         3.62298500e+00,   3.52543000e+00,   3.43998100e+00,
         3.35680500e+00,   3.28408400e+00,   3.23204100e+00,
         3.19070400e+00,   3.16606900e+00,   3.15787000e+00,
         3.18107500e+00,   3.20748800e+00,   3.25205100e+00,
         3.29556600e+00,   3.33751000e+00,   3.37843800e+00,
         3.68637300e+00,   4.29376900e+00,   4.88807700e+00,
         5.91426200e+00,   7.02274000e+00,   8.78492400e+00,
         1.64851300e+01,   2.40317900e+01,   3.57493000e+01,
         5.87501300e+01,   8.13112200e+01,   1.14324800e+02,
         1.66010000e+02,   2.16746100e+02,   2.68789000e+02,
         3.23339300e+02,   3.76924200e+02,   4.37115000e+02,
         5.12259200e+02,   5.86119800e+02,   6.66510200e+02,
         7.82942800e+02,   8.97448800e+02,   1.01008200e+03,
         1.15402300e+03,   1.29886200e+03,   1.44139900e+03,
         1.61861300e+03,   1.82783700e+03,   2.03383100e+03,
         2.25165000e+03,   2.70779600e+03,   3.15708300e+03,
         3.59966800e+03,   4.12404400e+03,   4.72410700e+03,
         5.31543200e+03,   5.89821800e+03,   6.82191400e+03,
         7.79291200e+03,   8.75019000e+03,   9.69615400e+03,
         1.07667100e+04,   1.18224400e+04,   1.28636700e+04,
         1.39161200e+04,   1.51620000e+04,   1.63910700e+04,
         1.76036800e+04,   1.88001200e+04,   1.99807100e+04,
         2.11457500e+04,   2.22955200e+04])

self["P"] = numpy.array([  5.00000000e-03,   1.61000000e-02,   3.84000000e-02,
         7.69000000e-02,   1.37000000e-01,   2.24400000e-01,
         3.45400000e-01,   5.06400000e-01,   7.14000000e-01,
         9.75300000e-01,   1.29720000e+00,   1.68720000e+00,
         2.15260000e+00,   2.70090000e+00,   3.33980000e+00,
         4.07700000e+00,   4.92040000e+00,   5.87760000e+00,
         6.95670000e+00,   8.16550000e+00,   9.51190000e+00,
         1.10038000e+01,   1.26492000e+01,   1.44559000e+01,
         1.64318000e+01,   1.85847000e+01,   2.09224000e+01,
         2.34526000e+01,   2.61829000e+01,   2.91210000e+01,
         3.22744000e+01,   3.56505000e+01,   3.92566000e+01,
         4.31001000e+01,   4.71882000e+01,   5.15278000e+01,
         5.61260000e+01,   6.09895000e+01,   6.61253000e+01,
         7.15398000e+01,   7.72396000e+01,   8.32310000e+01,
         8.95204000e+01,   9.61138000e+01,   1.03017200e+02,
         1.10236600e+02,   1.17777500e+02,   1.25645600e+02,
         1.33846200e+02,   1.42384800e+02,   1.51266400e+02,
         1.60495900e+02,   1.70078400e+02,   1.80018300e+02,
         1.90320300e+02,   2.00988700e+02,   2.12027700e+02,
         2.23441500e+02,   2.35233800e+02,   2.47408500e+02,
         2.59969100e+02,   2.72919100e+02,   2.86261700e+02,
         3.00000000e+02,   3.14136900e+02,   3.28675300e+02,
         3.43617600e+02,   3.58966500e+02,   3.74724100e+02,
         3.90892600e+02,   4.07473800e+02,   4.24469800e+02,
         4.41881900e+02,   4.59711800e+02,   4.77960700e+02,
         4.96629800e+02,   5.15720000e+02,   5.35232200e+02,
         5.55166900e+02,   5.75524800e+02,   5.96306200e+02,
         6.17511200e+02,   6.39139800e+02,   6.61192000e+02,
         6.83667300e+02,   7.06565400e+02,   7.29885700e+02,
         7.53627500e+02,   7.77789700e+02,   8.02371400e+02,
         8.27371300e+02,   8.52788000e+02,   8.78620100e+02,
         9.04865900e+02,   9.31523600e+02,   9.58591100e+02,
         9.86066600e+02,   1.01394800e+03,   1.04223200e+03,
         1.07091700e+03,   1.10000000e+03])

self["CO2"] = numpy.array([ 385.955,  385.959,  385.97 ,  385.988,  386.016,  386.056,
        386.109,  386.173,  386.238,  386.24 ,  386.2  ,  386.151,
        386.225,  386.396,  386.585,  386.808,  387.039,  387.25 ,
        387.451,  387.645,  387.783,  387.861,  387.91 ,  387.931,
        387.952,  387.972,  388.055,  388.158,  388.357,  388.575,
        388.865,  389.176,  389.533,  389.914,  390.174,  390.385,
        390.65 ,  391.022,  391.415,  392.03 ,  392.698,  393.249,
        393.653,  394.068,  394.212,  394.36 ,  394.261,  393.969,
        393.972,  394.367,  394.774,  395.081,  395.367,  395.607,
        395.787,  395.946,  395.987,  396.02 ,  395.89 ,  395.939,
        396.234,  396.502,  396.779,  396.981,  397.171,  397.337,
        397.494,  397.639,  397.778,  397.901,  398.033,  398.164,
        398.319,  398.484,  398.652,  398.822,  398.97 ,  399.108,
        399.219,  399.321,  399.395,  399.466,  399.528,  399.587,
        399.644,  399.704,  399.744,  399.789,  399.881,  400.029,
        400.198,  400.369,  400.562,  400.752,  400.94 ,  401.097,
        401.224,  401.315,  401.374,  401.398,  401.402])

self["CO"] = numpy.array([ 0.844725 ,  0.826442 ,  0.791293 ,  0.735212 ,  0.658002 ,
        0.564642 ,  0.442318 ,  0.320356 ,  0.245514 ,  0.197331 ,
        0.155639 ,  0.116378 ,  0.0885306,  0.0710601,  0.0602034,
        0.0513364,  0.0439053,  0.0412109,  0.0396165,  0.0377226,
        0.035072 ,  0.032783 ,  0.030658 ,  0.0282491,  0.0264749,
        0.0249973,  0.0242581,  0.0237684,  0.0236668,  0.0236239,
        0.0237713,  0.0239864,  0.0244707,  0.0251505,  0.0263866,
        0.0280634,  0.0302882,  0.033465 ,  0.0373627,  0.0414451,
        0.0462792,  0.0516083,  0.057447 ,  0.064457 ,  0.0679968,
        0.0725338,  0.0763801,  0.0797644,  0.0833946,  0.0859718,
        0.0888722,  0.0913409,  0.0940159,  0.0971932,  0.10083  ,
        0.104843 ,  0.108941 ,  0.113499 ,  0.11774  ,  0.12191  ,
        0.125846 ,  0.129008 ,  0.131911 ,  0.134077 ,  0.136158 ,
        0.137649 ,  0.138983 ,  0.139907 ,  0.14065  ,  0.141177 ,
        0.141582 ,  0.141919 ,  0.142445 ,  0.142971 ,  0.143351 ,
        0.143738 ,  0.144167 ,  0.144587 ,  0.144804 ,  0.145059 ,
        0.145162 ,  0.145425 ,  0.146261 ,  0.147607 ,  0.148988 ,
        0.149872 ,  0.150429 ,  0.151061 ,  0.151693 ,  0.152986 ,
        0.154627 ,  0.156974 ,  0.159376 ,  0.161294 ,  0.163943 ,
        0.166843 ,  0.167965 ,  0.169254 ,  0.170891 ,  0.172753 ,
        0.174861 ])

self["T"] = numpy.array([ 166.1031,  181.1568,  202.8591,  222.2545,  239.6631,  252.2286,
        261.6657,  268.9782,  272.7091,  275.6586,  275.105 ,  270.6207,
        265.928 ,  261.5149,  257.4451,  253.7175,  250.2478,  247.0601,
        244.0682,  241.2712,  238.659 ,  236.454 ,  234.3451,  232.403 ,
        230.5748,  228.8179,  227.6181,  226.5937,  225.6054,  224.7012,
        223.8836,  223.1777,  222.4559,  221.7103,  221.0034,  220.3199,
        219.6544,  218.9931,  218.3165,  217.6955,  217.1535,  216.6269,
        216.1164,  215.7   ,  215.7   ,  215.7   ,  215.7   ,  215.7   ,
        215.7   ,  215.7   ,  215.7   ,  215.7305,  215.7674,  216.038 ,
        218.3725,  220.6604,  222.9202,  225.1814,  227.3993,  229.6043,
        231.8198,  233.9946,  236.1339,  238.2408,  240.3105,  242.3741,
        244.4659,  246.522 ,  248.5499,  250.5756,  252.5678,  254.5274,
        256.4779,  258.3992,  260.29  ,  262.1114,  263.8672,  265.5958,
        267.3007,  269.0242,  270.7217,  272.394 ,  274.0596,  275.718 ,
        277.3523,  278.9629,  280.5603,  282.1365,  283.6906,  285.2177,
        286.3927,  287.5515,  288.6943,  289.823 ,  290.9488,  292.0594,
        293.1551,  294.2363,  295.3031,  296.3558,  297.3947])

self["N2O"] = numpy.array([ 0.00828397,  0.00614645,  0.00460058,  0.00361728,  0.00297887,
        0.00213498,  0.0019324 ,  0.00224822,  0.00416953,  0.00683657,
        0.00989604,  0.0127716 ,  0.0153814 ,  0.0203853 ,  0.0256154 ,
        0.0320797 ,  0.0388802 ,  0.0467007 ,  0.0546439 ,  0.064883  ,
        0.0746377 ,  0.0863965 ,  0.0988669 ,  0.110815  ,  0.124358  ,
        0.137666  ,  0.150516  ,  0.161789  ,  0.172285  ,  0.182353  ,
        0.191625  ,  0.199045  ,  0.206898  ,  0.214444  ,  0.222134  ,
        0.229522  ,  0.236536  ,  0.243401  ,  0.250591  ,  0.257931  ,
        0.264606  ,  0.272133  ,  0.279386  ,  0.286054  ,  0.292263  ,
        0.297927  ,  0.302837  ,  0.307089  ,  0.310783  ,  0.313696  ,
        0.316319  ,  0.318576  ,  0.32039   ,  0.321949  ,  0.323167  ,
        0.324199  ,  0.325043  ,  0.325651  ,  0.326121  ,  0.326464  ,
        0.326644  ,  0.326768  ,  0.32686   ,  0.326926  ,  0.326968  ,
        0.32699   ,  0.327     ,  0.327003  ,  0.327003  ,  0.327003  ,
        0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,
        0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,
        0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,
        0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,
        0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,
        0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,  0.327003  ,
        0.327003  ])

self["O3"] = numpy.array([ 0.296166 ,  0.326063 ,  0.400531 ,  0.570046 ,  0.801701 ,
        1.05099  ,  1.33423  ,  1.66175  ,  2.05567  ,  2.57157  ,
        3.17312  ,  3.78134  ,  4.43211  ,  5.08549  ,  5.70574  ,
        6.26852  ,  6.68441  ,  6.94824  ,  7.0987   ,  7.14478  ,
        7.09552  ,  6.94225  ,  6.68123  ,  6.32364  ,  5.89293  ,
        5.41806  ,  4.96398  ,  4.54665  ,  4.17129  ,  3.82079  ,
        3.47788  ,  3.15375  ,  2.86942  ,  2.60336  ,  2.34553  ,
        2.09975  ,  1.87475  ,  1.67411  ,  1.48814  ,  1.30587  ,
        1.13074  ,  0.972394 ,  0.839663 ,  0.744366 ,  0.672636 ,
        0.624852 ,  0.591757 ,  0.546175 ,  0.494443 ,  0.451315 ,
        0.411093 ,  0.372981 ,  0.330693 ,  0.28868  ,  0.249339 ,
        0.215617 ,  0.186614 ,  0.164136 ,  0.146409 ,  0.130419 ,
        0.116838 ,  0.104318 ,  0.0942115,  0.0862935,  0.0801104,
        0.0747463,  0.0697146,  0.0657065,  0.0624908,  0.059948 ,
        0.0576579,  0.0559484,  0.0542677,  0.0530505,  0.0522998,
        0.0514709,  0.0507883,  0.0501358,  0.0498613,  0.0495494,
        0.049353 ,  0.0491424,  0.0484953,  0.0475789,  0.0473171,
        0.0471183,  0.0467757,  0.0458657,  0.0449686,  0.0439952,
        0.0429869,  0.0418929,  0.0408982,  0.0396698,  0.0376495,
        0.0349568,  0.0307492,  0.0277748,  0.0273608,  0.0273608,
        0.0273608])

self["CH4"] = numpy.array([ 0.156834,  0.154163,  0.157891,  0.169251,  0.196506,  0.234535,
        0.270811,  0.304925,  0.344606,  0.396529,  0.469922,  0.552353,
        0.638854,  0.736297,  0.823394,  0.89471 ,  0.956937,  1.00338 ,
        1.04641 ,  1.07967 ,  1.1111  ,  1.15138 ,  1.19511 ,  1.23741 ,
        1.28536 ,  1.33274 ,  1.37834 ,  1.41823 ,  1.45534 ,  1.47923 ,
        1.50488 ,  1.53244 ,  1.5619  ,  1.58491 ,  1.60709 ,  1.62742 ,
        1.64615 ,  1.6628  ,  1.67342 ,  1.68462 ,  1.69639 ,  1.70876 ,
        1.7217  ,  1.74675 ,  1.76131 ,  1.77651 ,  1.78844 ,  1.7978  ,
        1.80682 ,  1.81473 ,  1.82245 ,  1.82769 ,  1.83237 ,  1.83637 ,
        1.83941 ,  1.84221 ,  1.84443 ,  1.84654 ,  1.84841 ,  1.85018 ,
        1.85188 ,  1.85359 ,  1.85515 ,  1.85633 ,  1.85737 ,  1.85816 ,
        1.85882 ,  1.85944 ,  1.86009 ,  1.86066 ,  1.86124 ,  1.8618  ,
        1.86241 ,  1.86306 ,  1.8637  ,  1.86438 ,  1.86526 ,  1.86618 ,
        1.86701 ,  1.86786 ,  1.86851 ,  1.86913 ,  1.86979 ,  1.87047 ,
        1.87119 ,  1.87202 ,  1.87314 ,  1.87438 ,  1.87578 ,  1.87746 ,
        1.87874 ,  1.87987 ,  1.8811  ,  1.88223 ,  1.883   ,  1.88355 ,
        1.88401 ,  1.88432 ,  1.88452 ,  1.8846  ,  1.88462 ])

self["CTP"] = 510.0
self["CFRACTION"] = 0.1
self["IDG"] = 2
self["ISH"] = 1
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 295.2
self["S2M"]["Q"] = 18760.0
self["S2M"]["O"] = 0.03317
self["S2M"]["P"] = 1013.0
self["S2M"]["U"] = 0.0
self["S2M"]["V"] = -7.0
self["S2M"]["WFETC"] = 50000.0
self["SKIN"]["SURFTYPE"] = 1
self["SKIN"]["WATERTYPE"] = 1
self["SKIN"]["T"] = 294.8
self["SKIN"]["SALINITY"] = 33.0
self["SKIN"]["FOAM_FRACTION"] = 0.3
self["SKIN"]["FASTEM"] = numpy.array([  3. ,   5. ,  15. ,   0.1,   0.3])

self["ZENANGLE"] = 50.0
self["AZANGLE"] = 185.0
self["SUNZENANGLE"] = 55.0
self["SUNAZANGLE"] = 179.0
self["LATITUDE"] = 45.0
self["GAS_UNITS"] = 0
self["BE"] = 0.5
self["COSBK"] = 0.0

self["DATE"] = numpy.array([1966,    7,    1])

self["TIME"] = numpy.array([17,  0,  0])
