text: """
      Profile ../profile-datasets-py/div83/062.py
          file automaticaly created by prof_gen.py script
  """ 
  
  self["ID"] = "../profile-datasets-py/div83/062.py"
  self["Q"] = numpy.array([    2.135165,     2.544134,     3.283269,     4.205042,
             4.999855,     5.317752,     5.205453,     5.320982,
             5.907775,     6.095293,     6.191692,     6.191842,
             6.146692,     6.080533,     6.027844,     6.021334,
             6.013854,     5.993284,     5.947545,     5.859476,
             5.707367,     5.45466 ,     5.149923,     4.850026,
             4.589789,     4.381871,     4.244622,     4.184272,
             4.137703,     4.077603,     3.999644,     3.908545,
             3.828035,     3.761756,     3.711596,     3.685716,
             3.684286,     3.696326,     3.707896,     3.714566,
             3.734056,     3.782776,     3.824185,     3.848895,
             3.879375,     3.910525,     3.978284,     4.130243,
             4.382681,     4.708588,     5.154323,     5.754207,
             6.446238,     7.211108,     8.180523,     9.808144,
            12.19045 ,    14.78778 ,    16.85582 ,    18.19527 ,
            19.49502 ,    20.34879 ,    21.16945 ,    22.4375  ,
            24.37611 ,    26.75698 ,    30.40398 ,    36.18439 ,
            44.42083 ,    55.27844 ,    69.17471 ,    87.64272 ,
           104.2721  ,   117.5582  ,   133.5732  ,   155.2909  ,
           154.941   ,   154.3332  ,   165.0957  ,   194.4842  ,
           252.885   ,   340.3101  ,   445.1148  ,   547.7248  ,
           640.853   ,   713.9849  ,   773.9685  ,   829.9586  ,
           885.8446  ,   964.1026  ,  1106.105   ,  1219.651   ,
           944.1328  ,   916.7358  ,   890.4903  ,   865.3355  ,
           841.2148  ,   818.0752  ,   795.8661  ,   774.5406  ,   754.055   ])
  
  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,   1.03017000e+02,
           1.10237000e+02,   1.17778000e+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,
           2.23442000e+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,
           3.90893000e+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,
           7.53628000e+02,   7.77790000e+02,   8.02371000e+02,
           8.27371000e+02,   8.52788000e+02,   8.78620000e+02,
           9.04866000e+02,   9.31524000e+02,   9.58591000e+02,
           9.86067000e+02,   1.01395000e+03,   1.04223000e+03,
           1.07092000e+03,   1.10000000e+03])
  
  self["CO2"] = numpy.array([ 369.0472,  369.0461,  369.0418,  369.0364,  369.0272,  369.014 ,
          368.9971,  368.974 ,  368.9548,  368.9298,  368.8917,  368.8367,
          368.7727,  368.7118,  368.6468,  368.5718,  368.5218,  368.5058,
          368.5028,  368.5008,  368.5119,  368.542 ,  368.5811,  368.6212,
          368.6653,  368.7144,  368.7534,  368.7935,  368.8235,  368.8565,
          368.8935,  368.9336,  368.9856,  369.0416,  369.1946,  369.3996,
          369.6246,  369.8796,  370.1486,  370.3456,  370.5446,  370.7746,
          371.0386,  371.3156,  371.5916,  371.8805,  372.2945,  372.8095,
          373.3224,  373.7442,  374.1831,  374.2768,  374.2726,  374.2973,
          374.3609,  374.4303,  374.5314,  374.6365,  374.7087,  374.7782,
          374.8217,  374.8544,  374.8731,  374.8786,  374.8759,  374.861 ,
          374.8396,  374.8074,  374.7734,  374.7403,  374.7041,  374.6662,
          374.6269,  374.584 ,  374.536 ,  374.4828,  374.437 ,  374.3912,
          374.3472,  374.2982,  374.2463,  374.1886,  374.1284,  374.077 ,
          374.0341,  374.0028,  373.9803,  373.9624,  373.9454,  373.9202,
          373.871 ,  373.8335,  373.9406,  373.9539,  373.9667,  373.9771,
          373.9871,  373.9958,  374.0041,  374.0121,  374.0198])
  
  self["CO"] = numpy.array([ 1.044168  ,  1.021437  ,  0.9772578 ,  0.9054302 ,  0.803713  ,
          0.6758304 ,  0.5907059 ,  0.5901089 ,  0.3854287 ,  0.2633824 ,
          0.2040667 ,  0.1702239 ,  0.1136093 ,  0.0496143 ,  0.01022324,
          0.00575758,  0.00531534,  0.00554938,  0.00580365,  0.00593863,
          0.00606526,  0.0061711 ,  0.00626554,  0.00633542,  0.00651423,
          0.00678242,  0.00705851,  0.00736169,  0.00761043,  0.00788115,
          0.00810314,  0.00834774,  0.00846046,  0.00857584,  0.00859602,
          0.0085699 ,  0.00856188,  0.00859618,  0.00863255,  0.00879777,
          0.008989  ,  0.00930631,  0.00978849,  0.01032786,  0.01123676,
          0.01227285,  0.01416274,  0.01706003,  0.02045891,  0.02325589,
          0.02657156,  0.02754204,  0.02778702,  0.02851259,  0.02991356,
          0.03140779,  0.0328479 ,  0.03440639,  0.0357939 ,  0.03724762,
          0.03847015,  0.03961269,  0.04054844,  0.04127447,  0.04184898,
          0.04215827,  0.04238661,  0.04241467,  0.04242462,  0.04238266,
          0.04235297,  0.04235829,  0.04237938,  0.04243321,  0.04246113,
          0.04245561,  0.04239703,  0.04230487,  0.04214374,  0.04196034,
          0.04173534,  0.04151467,  0.04130051,  0.04113266,  0.04099621,
          0.04089188,  0.04082478,  0.0408119 ,  0.04081871,  0.04083679,
          0.04087654,  0.04090395,  0.04096279,  0.04099998,  0.04116401,
          0.04140064,  0.04164224,  0.0418888 ,  0.04214034,  0.04239694,
          0.04265861])
  
  self["T"] = numpy.array([ 205.66 ,  214.138,  228.803,  244.185,  256.943,  262.499,
          258.783,  249.46 ,  239.723,  229.752,  223.18 ,  221.108,
          224.206,  226.735,  225.136,  218.183,  210.29 ,  205.09 ,
          201.951,  200.133,  198.482,  196.528,  194.965,  194.055,
          193.835,  194.059,  194.208,  194.173,  193.956,  193.718,
          193.682,  193.933,  194.131,  194.705,  195.609,  196.61 ,
          197.675,  198.799,  199.776,  200.638,  201.537,  202.294,
          202.856,  203.369,  203.973,  204.844,  205.793,  206.858,
          207.907,  208.908,  209.816,  210.762,  211.53 ,  211.957,
          212.077,  211.765,  211.189,  210.949,  211.533,  212.365,
          212.424,  212.319,  212.593,  213.367,  214.502,  215.702,
          216.803,  217.925,  219.127,  220.43 ,  221.803,  223.135,
          224.442,  225.756,  227.146,  228.743,  230.533,  232.486,
          234.56 ,  236.706,  238.876,  240.984,  242.984,  244.886,
          246.696,  248.41 ,  249.974,  251.494,  253.024,  254.591,
          256.096,  257.127,  254.785,  254.785,  254.785,  254.785,
          254.785,  254.785,  254.785,  254.785,  254.785])
  
  self["N2O"] = numpy.array([ 0.00045   ,  0.00045   ,  0.00045   ,  0.00045   ,  0.00087   ,
          0.00082   ,  0.00045   ,  0.00042   ,  0.00133999,  0.00239998,
          0.00516997,  0.00859995,  0.01236992,  0.01220993,  0.01250992,
          0.01407992,  0.0165599 ,  0.02100987,  0.02529985,  0.02979983,
          0.03407981,  0.03503981,  0.03438982,  0.03376984,  0.02924987,
          0.02439989,  0.01973992,  0.01793992,  0.01710993,  0.01630993,
          0.01759993,  0.02691989,  0.03594986,  0.04469983,  0.0529298 ,
          0.05983978,  0.06655975,  0.07307973,  0.08438969,  0.1023196 ,
          0.1193496 ,  0.1470594 ,  0.1755893 ,  0.2027892 ,  0.2299491 ,
          0.254479  ,  0.2758589 ,  0.2846188 ,  0.2926787 ,  0.2999086 ,
          0.3061684 ,  0.3113282 ,  0.315218  ,  0.3176777 ,  0.3185374 ,
          0.3185369 ,  0.3185361 ,  0.3185353 ,  0.3185346 ,  0.3185342 ,
          0.3185338 ,  0.3185335 ,  0.3185333 ,  0.3185329 ,  0.3185322 ,
          0.3185315 ,  0.3185303 ,  0.3185285 ,  0.3185259 ,  0.3185224 ,
          0.318518  ,  0.3185121 ,  0.3185068 ,  0.3185026 ,  0.3184975 ,
          0.3184905 ,  0.3184906 ,  0.3184908 ,  0.3184874 ,  0.318478  ,
          0.3184594 ,  0.3184316 ,  0.3183982 ,  0.3183655 ,  0.3183359 ,
          0.3183126 ,  0.3182935 ,  0.3182756 ,  0.3182578 ,  0.3182329 ,
          0.3181877 ,  0.3181515 ,  0.3182393 ,  0.318248  ,  0.3182563 ,
          0.3182644 ,  0.318272  ,  0.3182794 ,  0.3182865 ,  0.3182933 ,
          0.3182998 ])
  
  self["O3"] = numpy.array([ 0.7587884 ,  0.6506303 ,  0.4920414 ,  0.4354072 ,  0.4927165 ,
          0.6960063 ,  1.086994  ,  1.655471  ,  2.345416  ,  3.015182  ,
          3.040381  ,  3.532388  ,  3.956836  ,  4.296324  ,  4.369834  ,
          3.956136  ,  3.575168  ,  3.463419  ,  3.454539  ,  3.44159   ,
          3.335181  ,  3.402581  ,  3.532302  ,  3.614202  ,  3.602793  ,
          3.518435  ,  3.352456  ,  3.217207  ,  3.064387  ,  2.883768  ,
          2.693159  ,  2.52414   ,  2.357881  ,  2.325821  ,  2.490021  ,
          2.6827    ,  2.71009   ,  2.557481  ,  2.390191  ,  2.257812  ,
          2.018752  ,  1.729413  ,  1.550014  ,  1.426195  ,  1.229235  ,
          1.030666  ,  0.8172317 ,  0.6441773 ,  0.5255887 ,  0.4441519 ,
          0.3733641 ,  0.3122102 ,  0.2650703 ,  0.2375863 ,  0.2258832 ,
          0.2185519 ,  0.2087325 ,  0.1960951 ,  0.1812439 ,  0.164181  ,
          0.1450802 ,  0.1258284 ,  0.1086527 ,  0.09469558,  0.08401265,
          0.07566868,  0.06925349,  0.06385209,  0.05934416,  0.05564432,
          0.05283704,  0.05088414,  0.04933126,  0.04790827,  0.04618753,
          0.04385149,  0.04146417,  0.03934833,  0.03776906,  0.03677575,
          0.03642339,  0.03630874,  0.03641958,  0.03672857,  0.03705864,
          0.0372298 ,  0.03721248,  0.03710618,  0.03694554,  0.03665513,
          0.03590224,  0.03457798,  0.03937109,  0.03937217,  0.03937321,
          0.0393742 ,  0.03937515,  0.03937606,  0.03937694,  0.03937778,
          0.03937858])
  
  self["CH4"] = numpy.array([ 0.05500208,  0.05500206,  0.05500202,  0.09355291,  0.1077775 ,
          0.1368143 ,  0.1482102 ,  0.1591442 ,  0.173895  ,  0.2012118 ,
          0.2391385 ,  0.2866422 ,  0.3400379 ,  0.3891816 ,  0.4364604 ,
          0.4843851 ,  0.5284008 ,  0.5675666 ,  0.6070874 ,  0.6606711 ,
          0.7117169 ,  0.7775898 ,  0.8491726 ,  0.9177535 ,  1.036695  ,
          1.157895  ,  1.274525  ,  1.363954  ,  1.442584  ,  1.458114  ,
          1.474784  ,  1.492634  ,  1.511694  ,  1.509474  ,  1.507334  ,
          1.505314  ,  1.503454  ,  1.501804  ,  1.506684  ,  1.511824  ,
          1.517244  ,  1.522934  ,  1.528904  ,  1.560684  ,  1.585964  ,
          1.612404  ,  1.640223  ,  1.669413  ,  1.697013  ,  1.711792  ,
          1.727171  ,  1.73038   ,  1.730169  ,  1.730588  ,  1.731836  ,
          1.733073  ,  1.734009  ,  1.734974  ,  1.735041  ,  1.734998  ,
          1.734876  ,  1.734715  ,  1.734483  ,  1.734181  ,  1.733818  ,
          1.733374  ,  1.732907  ,  1.732417  ,  1.731973  ,  1.731654  ,
          1.73138   ,  1.731228  ,  1.731059  ,  1.730866  ,  1.730589  ,
          1.730201  ,  1.729792  ,  1.729333  ,  1.728885  ,  1.728424  ,
          1.727993  ,  1.727552  ,  1.727121  ,  1.726794  ,  1.726533  ,
          1.726347  ,  1.726223  ,  1.726126  ,  1.72604   ,  1.725904  ,
          1.725669  ,  1.725533  ,  1.726059  ,  1.726146  ,  1.726221  ,
          1.726285  ,  1.726327  ,  1.726367  ,  1.726405  ,  1.726442  ,
          1.726477  ])
  
  self["CTP"] = 500.0
  self["CFRACTION"] = 0.0
  self["IDG"] = 0
  self["ISH"] = 0
  self["ELEVATION"] = 0.0
  self["S2M"]["T"] = 254.785
  self["S2M"]["Q"] = 754.054972021
  self["S2M"]["O"] = 0.0393785839754
  self["S2M"]["P"] = 875.53882
  self["S2M"]["U"] = 0.0
  self["S2M"]["V"] = 0.0
  self["S2M"]["WFETC"] = 100000.0
  self["SKIN"]["SURFTYPE"] = 0
  self["SKIN"]["WATERTYPE"] = 1
  self["SKIN"]["T"] = 254.785
  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"] = 0.0
  self["AZANGLE"] = 0.0
  self["SUNZENANGLE"] = 0.0
  self["SUNAZANGLE"] = 0.0
  self["LATITUDE"] = -70.044
  self["GAS_UNITS"] = 2
  self["BE"] = 0.0
  self["COSBK"] = 0.0
  
  self["DATE"] = numpy.array([2007,    6,    1])
  
  self["TIME"] = numpy.array([0, 0, 0])
  