text: """
      Profile ../profile-datasets-py/div52_zen50deg/022.py
          file automaticaly created by prof_gen.py script
  """ 
  
  self["ID"] = "../profile-datasets-py/div52_zen50deg/022.py"
  self["Q"] = numpy.array([    1.607768,     3.819651,     4.731381,     5.592531,
             8.188115,     8.216057,     6.880636,     8.124142,
             6.564374,     8.452993,     7.740418,     6.611465,
             7.033486,     7.242029,     6.616626,     5.85839 ,
             5.818019,     5.601036,     5.553269,     5.473347,
             5.330321,     5.124415,     4.905244,     4.702522,
             4.531906,     4.382287,     4.2341  ,     4.093903,
             4.011425,     3.937741,     3.935184,     3.932725,
             3.960073,     3.987742,     4.010347,     4.030461,
             4.046088,     4.053098,     4.059931,     4.060895,
             4.061249,     4.056281,     4.045445,     4.034898,
             4.025364,     4.016055,     4.013225,     4.014704,
             4.01583 ,     4.015508,     4.015187,     4.006167,
             3.995524,     4.045091,     4.149548,     4.307382,
             4.618693,     4.946612,     5.609251,     6.259414,
             7.196867,     8.143966,     9.579597,    11.10007 ,
            13.09643 ,    15.20997 ,    18.70931 ,    22.59908 ,
            26.76875 ,    30.9561  ,    35.76015 ,    40.46402 ,
            41.32142 ,    43.45743 ,    49.87397 ,    64.91544 ,
            88.62849 ,   125.1937  ,   174.1967  ,   256.89    ,
           375.9506  ,   516.3868  ,   675.7059  ,   864.3882  ,
           991.7498  ,  1069.804   ,  1119.226   ,  1127.478   ,
          1063.238   ,   925.1385  ,   805.4862  ,   829.2778  ,
           747.8511  ,   726.1551  ,   705.3698  ,   685.4472  ,
           666.3438  ,   648.0179  ,   630.4278  ,   613.5381  ,   597.3135  ])
  
  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,   3.56504000e+01,   3.92566000e+01,
           4.31001000e+01,   4.71882000e+01,   5.15278000e+01,
           5.61259000e+01,   6.09895000e+01,   6.61252000e+01,
           7.15398000e+01,   7.72395000e+01,   8.32310000e+01,
           8.95203000e+01,   9.61138000e+01,   1.03017000e+02,
           1.10237000e+02,   1.17777000e+02,   1.25646000e+02,
           1.33846000e+02,   1.42385000e+02,   1.51266000e+02,
           1.60496000e+02,   1.70078000e+02,   1.80018000e+02,
           1.90320000e+02,   2.00989000e+02,   2.12028000e+02,
           2.23441000e+02,   2.35234000e+02,   2.47408000e+02,
           2.59969000e+02,   2.72919000e+02,   2.86262000e+02,
           3.00000000e+02,   3.14137000e+02,   3.28675000e+02,
           3.43618000e+02,   3.58966000e+02,   3.74724000e+02,
           3.90892000e+02,   4.07474000e+02,   4.24470000e+02,
           4.41882000e+02,   4.59712000e+02,   4.77961000e+02,
           4.96630000e+02,   5.15720000e+02,   5.35232000e+02,
           5.55167000e+02,   5.75525000e+02,   5.96306000e+02,
           6.17511000e+02,   6.39140000e+02,   6.61192000e+02,
           6.83667000e+02,   7.06565000e+02,   7.29886000e+02,
           7.53627000e+02,   7.77789000e+02,   8.02371000e+02,
           8.27371000e+02,   8.52788000e+02,   8.78620000e+02,
           9.04866000e+02,   9.31523000e+02,   9.58591000e+02,
           9.86066000e+02,   1.01395000e+03,   1.04223000e+03,
           1.07092000e+03,   1.10000000e+03])
  
  self["CO2"] = numpy.array([ 313.5945,  313.5938,  313.5935,  313.5932,  313.5924,  313.5924,
          313.5928,  313.5925,  313.5929,  313.5923,  313.5926,  313.5929,
          313.5928,  313.5927,  313.5929,  313.5932,  313.5932,  313.5932,
          313.5933,  313.5933,  313.5933,  313.5934,  313.5935,  313.5935,
          313.5936,  313.5936,  313.5937,  313.5937,  313.5937,  313.5938,
          313.5938,  313.5938,  313.5938,  313.5937,  313.5937,  313.5937,
          313.5937,  313.5937,  313.5937,  313.5937,  313.5937,  313.5937,
          313.8837,  314.1877,  314.5067,  314.8397,  315.1867,  315.5497,
          315.9287,  316.3227,  316.7317,  317.1577,  317.5997,  318.0587,
          318.5337,  319.0256,  319.5345,  320.0614,  320.6052,  321.167 ,
          321.7457,  322.3424,  322.9579,  323.5914,  323.5908,  323.5901,
          323.5889,  323.5877,  323.5863,  323.585 ,  323.5834,  323.5819,
          323.5816,  323.5809,  323.5789,  323.574 ,  323.5663,  323.5545,
          323.5386,  323.5119,  323.4733,  323.4279,  323.3763,  323.3153,
          323.2741,  323.2488,  323.2328,  323.2302,  323.2509,  323.2956,
          323.3343,  323.3266,  323.353 ,  323.36  ,  323.3667,  323.3732,
          323.3794,  323.3853,  323.391 ,  323.3965,  323.4017])
  
  self["T"] = numpy.array([ 247.725,  266.49 ,  285.452,  275.327,  280.146,  278.525,
          272.877,  261.956,  244.385,  232.397,  223.164,  215.394,
          211.703,  211.393,  212.771,  212.39 ,  208.624,  204.295,
          201.531,  200.688,  200.742,  199.803,  198.421,  196.653,
          195.631,  195.053,  195.714,  196.511,  197.708,  198.859,
          199.901,  200.91 ,  202.346,  203.757,  205.55 ,  207.478,
          209.304,  210.982,  212.615,  213.957,  215.239,  216.424,
          217.508,  218.563,  219.498,  220.411,  221.203,  221.91 ,
          222.549,  222.953,  223.348,  223.634,  223.893,  224.334,
          224.941,  225.674,  226.78 ,  227.86 ,  228.844,  229.81 ,
          230.112,  230.35 ,  230.035,  229.606,  229.464,  229.409,
          229.729,  230.161,  230.377,  230.535,  230.569,  230.597,
          230.961,  231.434,  232.285,  233.399,  234.778,  236.57 ,
          238.443,  240.341,  242.29 ,  244.208,  246.004,  248.118,
          250.302,  252.516,  254.531,  255.981,  256.785,  256.925,
          256.306,  256.453,  254.79 ,  254.79 ,  254.79 ,  254.79 ,
          254.79 ,  254.79 ,  254.79 ,  254.79 ,  254.79 ])
  
  self["O3"] = numpy.array([ 0.1801084 ,  0.2268979 ,  0.3209    ,  0.4831897 ,  0.8183901 ,
          1.19118   ,  1.597723  ,  2.071167  ,  2.963074  ,  3.829054  ,
          4.705769  ,  5.485009  ,  5.899827  ,  6.144382  ,  6.347328  ,
          6.501516  ,  6.463378  ,  6.254221  ,  5.917789  ,  5.509968  ,
          5.118012  ,  4.857273  ,  4.67033   ,  4.564853  ,  4.460891  ,
          4.359324  ,  4.319092  ,  4.287919  ,  4.278222  ,  4.249516  ,
          3.999625  ,  3.757822  ,  3.34996   ,  2.94782   ,  2.65429   ,
          2.411787  ,  2.206572  ,  2.07059   ,  1.938302  ,  1.790457  ,
          1.644495  ,  1.536339  ,  1.469181  ,  1.404033  ,  1.354369  ,
          1.30587   ,  1.224912  ,  1.123098  ,  1.013766  ,  0.8654503 ,
          0.7203334 ,  0.6077303 ,  0.5035821 ,  0.4202643 ,  0.3560383 ,
          0.2952302 ,  0.2416532 ,  0.1892916 ,  0.14062   ,  0.0928658 ,
          0.06532093,  0.04001501,  0.0277392 ,  0.01843126,  0.01665783,
          0.01714495,  0.01967371,  0.02280848,  0.02779261,  0.0331752 ,
          0.03905537,  0.04488986,  0.04977948,  0.05446977,  0.05868152,
          0.06221806,  0.06507848,  0.06672089,  0.06794422,  0.06865591,
          0.06929801,  0.06987814,  0.07037416,  0.07095596,  0.07155278,
          0.07196192,  0.07212412,  0.07225191,  0.07264597,  0.07320947,
          0.07427402,  0.07549865,  0.07569535,  0.07569699,  0.07569856,
          0.07570007,  0.07570152,  0.07570291,  0.07570424,  0.07570552,
          0.07570675])
  
  self["CTP"] = 500.0
  self["CFRACTION"] = 0.0
  self["IDG"] = 0
  self["ISH"] = 0
  self["ELEVATION"] = 0.0
  self["S2M"]["T"] = 254.79
  self["S2M"]["Q"] = 754.574139634
  self["S2M"]["O"] = 0.0756948368106
  self["S2M"]["P"] = 870.793
  self["S2M"]["U"] = 3.51287
  self["S2M"]["V"] = -4.46025
  self["S2M"]["WFETC"] = 100000.0
  self["SKIN"]["SURFTYPE"] = 0
  self["SKIN"]["WATERTYPE"] = 1
  self["SKIN"]["T"] = 252.375
  self["SKIN"]["SALINITY"] = 35.0
  self["SKIN"]["FOAM_FRACTION"] = 0.0
  self["SKIN"]["FASTEM"] = numpy.array([  3. ,   5. ,  15. ,   0.1,   0.3])
  
  self["ZENANGLE"] = 50.0
  self["AZANGLE"] = 0.0
  self["SUNZENANGLE"] = 0.0
  self["SUNAZANGLE"] = 0.0
  self["LATITUDE"] = 61.1092
  self["GAS_UNITS"] = 2
  self["BE"] = 0.0
  self["COSBK"] = 0.0
  
  self["DATE"] = numpy.array([1993,   12,    1])
  
  self["TIME"] = numpy.array([18,  0,  0])
  