<gh_stars>0
"""
    Profile ../profile-datasets-py/div83/080.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/div83/080.py"
self["Q"] = numpy.array([    2.102886,     2.605543,     3.494148,     4.130123,
           4.52017 ,     5.4568  ,     6.255131,     6.460698,
           6.461528,     6.457398,     6.418339,     6.33725 ,
           6.195642,     6.073393,     5.996634,     5.951585,
           5.938175,     5.958874,     5.987714,     6.011894,
           6.022544,     5.969474,     5.848146,     5.635118,
           5.336452,     4.994335,     4.696388,     4.41652 ,
           4.153413,     3.852725,     3.465958,     3.057591,
           2.752662,     2.522454,     2.506714,     2.641693,
           2.710643,     2.593463,     2.350314,     2.025526,
           2.089346,     2.323565,     2.194295,     1.831717,
           1.892556,     2.272675,     2.641453,     2.834292,
           2.997361,     2.846322,     2.379964,     2.242605,
           2.471794,     2.736913,     3.031951,     3.629757,
           4.312991,     4.313491,     5.037755,     6.234581,
           7.790559,     9.694036,    12.23845 ,    15.90365 ,
          20.49168 ,    25.93573 ,    32.22606 ,    39.67773 ,
          48.65833 ,    59.62125 ,    75.87554 ,    99.34903 ,
         128.7134  ,   165.7035  ,   203.5476  ,   240.846   ,
         275.5241  ,   310.6894  ,   345.2757  ,   378.5616  ,
         401.2729  ,   413.3041  ,   410.9061  ,   388.531   ,
         332.1147  ,   266.3021  ,   219.147   ,   203.4746  ,
         217.2138  ,   247.5967  ,   281.2089  ,   323.0126  ,
         382.1679  ,   443.6511  ,   470.7543  ,   730.2074  ,
        1427.519   ,  1428.118   ,  1389.317   ,  1352.059   ,  1316.275   ])

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([ 374.5542,  374.555 ,  374.5557,  374.5585,  374.5623,  374.568 ,
        374.5747,  374.5826,  374.5916,  374.6016,  374.6226,  374.6486,
        374.6367,  374.5947,  374.5068,  374.4418,  374.3828,  374.3178,
        374.2478,  374.1738,  374.0967,  374.0198,  373.9428,  373.8709,
        373.804 ,  373.7381,  373.6932,  373.6493,  373.6364,  373.6236,
        373.6227,  373.6209,  373.633 ,  373.6461,  373.6951,  373.765 ,
        373.857 ,  373.998 ,  374.1461,  374.3672,  374.6062,  374.9011,
        375.2612,  375.6413,  376.1093,  376.5981,  377.111 ,  377.6479,
        378.1969,  378.7059,  379.2361,  379.6981,  380.1451,  380.556 ,
        380.8828,  381.2206,  381.4134,  381.6124,  381.7281,  381.8056,
        381.856 ,  381.8623,  381.8633,  381.8389,  381.8132,  381.7741,
        381.7327,  381.6919,  381.6504,  381.6112,  381.571 ,  381.5291,
        381.4839,  381.4388,  381.3954,  381.3511,  381.3079,  381.2605,
        381.2113,  381.1627,  381.119 ,  381.0904,  381.0714,  381.0739,
        381.0984,  381.1325,  381.1625,  381.1824,  381.1902,  381.1906,
        381.1898,  381.1868,  381.1723,  381.1528,  381.1455,  381.0486,
        380.7846,  380.7854,  380.8002,  380.8144,  380.8281])

self["CO"] = numpy.array([ 0.939514  ,  0.9175056 ,  0.8748359 ,  0.8057867 ,  0.7087298 ,
        0.5880618 ,  0.4433392 ,  0.2922711 ,  0.154564  ,  0.09147591,
        0.06351969,  0.04549251,  0.02646354,  0.02045508,  0.01482101,
        0.00937879,  0.00855789,  0.00862878,  0.00912964,  0.01019554,
        0.01214943,  0.01463241,  0.0174341 ,  0.01924089,  0.01998549,
        0.0199214 ,  0.01887751,  0.01769042,  0.01626853,  0.01485034,
        0.01329745,  0.01181446,  0.01061617,  0.00948   ,  0.00896773,
        0.00870985,  0.0085757 ,  0.00872394,  0.00888326,  0.00930089,
        0.00978975,  0.01041638,  0.01122428,  0.01213968,  0.01323447,
        0.01448507,  0.01594056,  0.01763415,  0.01958554,  0.02181084,
        0.02439414,  0.02705994,  0.02999813,  0.03305991,  0.03590429,
        0.03910606,  0.04143372,  0.04398621,  0.04586177,  0.0474406 ,
        0.04868582,  0.04934222,  0.04993299,  0.0500367 ,  0.05014357,
        0.0501182 ,  0.05008399,  0.05000462,  0.04990927,  0.04979123,
        0.04965773,  0.04953178,  0.04941274,  0.04930793,  0.04921938,
        0.04913066,  0.04904168,  0.04896118,  0.04888661,  0.04883361,
        0.04878881,  0.04878543,  0.04879674,  0.04884312,  0.04889206,
        0.04893826,  0.04895857,  0.04896923,  0.04896806,  0.04895298,
        0.04892584,  0.0488846 ,  0.04885762,  0.04884632,  0.0488364 ,
        0.04882472,  0.04880493,  0.04883676,  0.04887091,  0.04890549,
        0.0489405 ])

self["T"] = numpy.array([ 193.102,  203.36 ,  221.558,  241.323,  257.811,  269.089,
        277.432,  284.054,  287.484,  286.201,  283.545,  278.278,
        271.377,  263.42 ,  255.204,  247.532,  240.121,  233.744,
        227.837,  222.448,  217.904,  214.694,  211.474,  208.363,
        205.476,  202.9  ,  200.334,  197.887,  195.498,  193.347,
        191.724,  190.812,  190.333,  189.543,  188.311,  187.537,
        187.643,  188.142,  188.421,  188.702,  189.619,  190.054,
        189.567,  189.076,  188.675,  189.04 ,  189.79 ,  190.586,
        191.293,  191.736,  191.729,  191.808,  192.028,  192.525,
        193.484,  194.924,  196.66 ,  198.718,  200.898,  203.11 ,
        205.313,  207.481,  209.575,  211.591,  213.593,  215.612,
        217.694,  219.845,  222.029,  224.235,  226.414,  228.58 ,
        230.748,  232.898,  235.037,  237.18 ,  239.312,  241.4  ,
        243.467,  245.504,  247.396,  249.126,  250.618,  251.784,
        252.525,  252.995,  253.279,  253.578,  254.056,  254.706,
        255.465,  256.295,  257.363,  258.677,  260.122,  261.021,
        262.433,  262.721,  262.721,  262.721,  262.721])

self["N2O"] = numpy.array([ 0.00064   ,  0.00064   ,  0.00064   ,  0.00152999,  0.00242999,
        0.00117999,  0.00090999,  0.00083999,  0.00135999,  0.00231999,
        0.00231999,  0.00340998,  0.00538997,  0.00601996,  0.00629996,
        0.00568997,  0.00555997,  0.00633996,  0.00701996,  0.00717996,
        0.00733996,  0.00874995,  0.01071994,  0.01260993,  0.01719991,
        0.02196989,  0.02656988,  0.03507985,  0.04465981,  0.05389979,
        0.06454978,  0.08152975,  0.09796973,  0.1139097 ,  0.1296197 ,
        0.1459796 ,  0.1618696 ,  0.1773195 ,  0.1873196 ,  0.1978596 ,
        0.2078696 ,  0.2218695 ,  0.2369395 ,  0.2513095 ,  0.2664795 ,
        0.2805094 ,  0.2931492 ,  0.3041591 ,  0.3086591 ,  0.3128091 ,
        0.3165192 ,  0.3197293 ,  0.3223692 ,  0.3243591 ,  0.325619  ,
        0.3260588 ,  0.3260586 ,  0.3260586 ,  0.3260584 ,  0.326058  ,
        0.3260575 ,  0.3260568 ,  0.326056  ,  0.3260548 ,  0.3260533 ,
        0.3260515 ,  0.3260495 ,  0.3260471 ,  0.3260441 ,  0.3260406 ,
        0.3260353 ,  0.3260276 ,  0.326018  ,  0.326006  ,  0.3259936 ,
        0.3259815 ,  0.3259702 ,  0.3259587 ,  0.3259474 ,  0.3259366 ,
        0.3259292 ,  0.3259252 ,  0.325926  ,  0.3259333 ,  0.3259517 ,
        0.3259732 ,  0.3259885 ,  0.3259937 ,  0.3259892 ,  0.3259793 ,
        0.3259683 ,  0.3259547 ,  0.3259354 ,  0.3259153 ,  0.3259065 ,
        0.3258219 ,  0.3255945 ,  0.3255943 ,  0.325607  ,  0.3256191 ,
        0.3256308 ])

self["O3"] = numpy.array([ 0.3833032 ,  0.379991  ,  0.4054796 ,  0.5628047 ,  0.7822775 ,
        0.9747037 ,  1.144153  ,  1.330411  ,  1.59209   ,  1.970397  ,
        2.400345  ,  2.865332  ,  3.397889  ,  3.960576  ,  4.512993  ,
        5.00907   ,  5.322168  ,  5.445578  ,  5.494497  ,  5.466907  ,
        5.295778  ,  4.878661  ,  4.363014  ,  3.741189  ,  3.034734  ,
        2.298199  ,  1.552413  ,  0.915565  ,  0.482365  ,  0.270973  ,
        0.2229052 ,  0.2149923 ,  0.2049664 ,  0.1715866 ,  0.1559696 ,
        0.1769955 ,  0.2055104 ,  0.2083855 ,  0.1826036 ,  0.1211778 ,
        0.1014818 ,  0.1161787 ,  0.1375187 ,  0.1239958 ,  0.1252148 ,
        0.1516437 ,  0.1866455 ,  0.2064414 ,  0.2063884 ,  0.1920335 ,
        0.1733516 ,  0.1497307 ,  0.1232207 ,  0.1006267 ,  0.08852073,
        0.08540479,  0.07975096,  0.06260013,  0.05474082,  0.05198508,
        0.0513265 ,  0.05071561,  0.04981589,  0.04887002,  0.04800572,
        0.04727127,  0.04673819,  0.04635646,  0.04595446,  0.04547859,
        0.04472171,  0.04389954,  0.04311175,  0.04257554,  0.0422454 ,
        0.04196419,  0.04164232,  0.04124678,  0.0408164 ,  0.04036052,
        0.04015128,  0.04012511,  0.04034791,  0.04086802,  0.0415296 ,
        0.04199571,  0.04231682,  0.04249655,  0.04257805,  0.04261505,
        0.04272328,  0.04307088,  0.04355025,  0.04352698,  0.04184159,
        0.03849037,  0.03353845,  0.03250891,  0.03251017,  0.03251138,
        0.03251255])

self["CH4"] = numpy.array([ 0.1535747,  0.1391646,  0.1284526,  0.1242995,  0.1556203,
        0.184915 ,  0.1875468,  0.1899588,  0.1950237,  0.2149316,
        0.2475734,  0.2920561,  0.3440649,  0.4217594,  0.496425 ,
        0.5716116,  0.6440492,  0.7158017,  0.7827613,  0.839148 ,
        0.8928646,  0.9464973,  0.9989732,  1.049244 ,  1.096064 ,
        1.140864 ,  1.183974 ,  1.217205 ,  1.246495 ,  1.270685 ,
        1.296636 ,  1.324426 ,  1.354116 ,  1.379907 ,  1.404756 ,
        1.428216 ,  1.449796 ,  1.468946 ,  1.480207 ,  1.492067 ,
        1.504557 ,  1.517676 ,  1.531457 ,  1.555397 ,  1.570827 ,
        1.586976 ,  1.600716 ,  1.612715 ,  1.625115 ,  1.637435 ,
        1.650256 ,  1.663776 ,  1.677876 ,  1.691525 ,  1.703745 ,
        1.716394 ,  1.722773 ,  1.729263 ,  1.732371 ,  1.733729 ,
        1.734566 ,  1.734443 ,  1.734259 ,  1.733522 ,  1.732764 ,
        1.731735 ,  1.730644 ,  1.729721 ,  1.728846 ,  1.728107 ,
        1.727479 ,  1.726918 ,  1.726458 ,  1.726004 ,  1.725599 ,
        1.725204 ,  1.724845 ,  1.724534 ,  1.724274 ,  1.724127 ,
        1.724068 ,  1.724197 ,  1.724401 ,  1.72474  ,  1.725157 ,
        1.7256   ,  1.725992 ,  1.726299 ,  1.726515 ,  1.726662 ,
        1.726744 ,  1.726742 ,  1.72665  ,  1.726604 ,  1.726597 ,
        1.726189 ,  1.725004 ,  1.725023 ,  1.72509  ,  1.725154 ,
        1.725216 ])

self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 0
self["ISH"] = 0
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 262.721
self["S2M"]["Q"] = 1316.27513621
self["S2M"]["O"] = 0.0325125481364
self["S2M"]["P"] = 991.1839
self["S2M"]["U"] = 0.0
self["S2M"]["V"] = 0.0
self["S2M"]["WFETC"] = 100000.0
self["SKIN"]["SURFTYPE"] = 1
self["SKIN"]["WATERTYPE"] = 1
self["SKIN"]["T"] = 262.721
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"] = -68.02
self["GAS_UNITS"] = 2
self["BE"] = 0.0
self["COSBK"] = 0.0

self["DATE"] = numpy.array([2006,   10,    1])

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

"""
    Profile ../profile-datasets-py/div83/080.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/div83/080.py"
self["Q"] = numpy.array([    2.102886,     2.605543,     3.494148,     4.130123,
           4.52017 ,     5.4568  ,     6.255131,     6.460698,
           6.461528,     6.457398,     6.418339,     6.33725 ,
           6.195642,     6.073393,     5.996634,     5.951585,
           5.938175,     5.958874,     5.987714,     6.011894,
           6.022544,     5.969474,     5.848146,     5.635118,
           5.336452,     4.994335,     4.696388,     4.41652 ,
           4.153413,     3.852725,     3.465958,     3.057591,
           2.752662,     2.522454,     2.506714,     2.641693,
           2.710643,     2.593463,     2.350314,     2.025526,
           2.089346,     2.323565,     2.194295,     1.831717,
           1.892556,     2.272675,     2.641453,     2.834292,
           2.997361,     2.846322,     2.379964,     2.242605,
           2.471794,     2.736913,     3.031951,     3.629757,
           4.312991,     4.313491,     5.037755,     6.234581,
           7.790559,     9.694036,    12.23845 ,    15.90365 ,
          20.49168 ,    25.93573 ,    32.22606 ,    39.67773 ,
          48.65833 ,    59.62125 ,    75.87554 ,    99.34903 ,
         128.7134  ,   165.7035  ,   203.5476  ,   240.846   ,
         275.5241  ,   310.6894  ,   345.2757  ,   378.5616  ,
         401.2729  ,   413.3041  ,   410.9061  ,   388.531   ,
         332.1147  ,   266.3021  ,   219.147   ,   203.4746  ,
         217.2138  ,   247.5967  ,   281.2089  ,   323.0126  ,
         382.1679  ,   443.6511  ,   470.7543  ,   730.2074  ,
        1427.519   ,  1428.118   ,  1389.317   ,  1352.059   ,  1316.275   ])

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([ 374.5542,  374.555 ,  374.5557,  374.5585,  374.5623,  374.568 ,
        374.5747,  374.5826,  374.5916,  374.6016,  374.6226,  374.6486,
        374.6367,  374.5947,  374.5068,  374.4418,  374.3828,  374.3178,
        374.2478,  374.1738,  374.0967,  374.0198,  373.9428,  373.8709,
        373.804 ,  373.7381,  373.6932,  373.6493,  373.6364,  373.6236,
        373.6227,  373.6209,  373.633 ,  373.6461,  373.6951,  373.765 ,
        373.857 ,  373.998 ,  374.1461,  374.3672,  374.6062,  374.9011,
        375.2612,  375.6413,  376.1093,  376.5981,  377.111 ,  377.6479,
        378.1969,  378.7059,  379.2361,  379.6981,  380.1451,  380.556 ,
        380.8828,  381.2206,  381.4134,  381.6124,  381.7281,  381.8056,
        381.856 ,  381.8623,  381.8633,  381.8389,  381.8132,  381.7741,
        381.7327,  381.6919,  381.6504,  381.6112,  381.571 ,  381.5291,
        381.4839,  381.4388,  381.3954,  381.3511,  381.3079,  381.2605,
        381.2113,  381.1627,  381.119 ,  381.0904,  381.0714,  381.0739,
        381.0984,  381.1325,  381.1625,  381.1824,  381.1902,  381.1906,
        381.1898,  381.1868,  381.1723,  381.1528,  381.1455,  381.0486,
        380.7846,  380.7854,  380.8002,  380.8144,  380.8281])

self["CO"] = numpy.array([ 0.939514  ,  0.9175056 ,  0.8748359 ,  0.8057867 ,  0.7087298 ,
        0.5880618 ,  0.4433392 ,  0.2922711 ,  0.154564  ,  0.09147591,
        0.06351969,  0.04549251,  0.02646354,  0.02045508,  0.01482101,
        0.00937879,  0.00855789,  0.00862878,  0.00912964,  0.01019554,
        0.01214943,  0.01463241,  0.0174341 ,  0.01924089,  0.01998549,
        0.0199214 ,  0.01887751,  0.01769042,  0.01626853,  0.01485034,
        0.01329745,  0.01181446,  0.01061617,  0.00948   ,  0.00896773,
        0.00870985,  0.0085757 ,  0.00872394,  0.00888326,  0.00930089,
        0.00978975,  0.01041638,  0.01122428,  0.01213968,  0.01323447,
        0.01448507,  0.01594056,  0.01763415,  0.01958554,  0.02181084,
        0.02439414,  0.02705994,  0.02999813,  0.03305991,  0.03590429,
        0.03910606,  0.04143372,  0.04398621,  0.04586177,  0.0474406 ,
        0.04868582,  0.04934222,  0.04993299,  0.0500367 ,  0.05014357,
        0.0501182 ,  0.05008399,  0.05000462,  0.04990927,  0.04979123,
        0.04965773,  0.04953178,  0.04941274,  0.04930793,  0.04921938,
        0.04913066,  0.04904168,  0.04896118,  0.04888661,  0.04883361,
        0.04878881,  0.04878543,  0.04879674,  0.04884312,  0.04889206,
        0.04893826,  0.04895857,  0.04896923,  0.04896806,  0.04895298,
        0.04892584,  0.0488846 ,  0.04885762,  0.04884632,  0.0488364 ,
        0.04882472,  0.04880493,  0.04883676,  0.04887091,  0.04890549,
        0.0489405 ])

self["T"] = numpy.array([ 193.102,  203.36 ,  221.558,  241.323,  257.811,  269.089,
        277.432,  284.054,  287.484,  286.201,  283.545,  278.278,
        271.377,  263.42 ,  255.204,  247.532,  240.121,  233.744,
        227.837,  222.448,  217.904,  214.694,  211.474,  208.363,
        205.476,  202.9  ,  200.334,  197.887,  195.498,  193.347,
        191.724,  190.812,  190.333,  189.543,  188.311,  187.537,
        187.643,  188.142,  188.421,  188.702,  189.619,  190.054,
        189.567,  189.076,  188.675,  189.04 ,  189.79 ,  190.586,
        191.293,  191.736,  191.729,  191.808,  192.028,  192.525,
        193.484,  194.924,  196.66 ,  198.718,  200.898,  203.11 ,
        205.313,  207.481,  209.575,  211.591,  213.593,  215.612,
        217.694,  219.845,  222.029,  224.235,  226.414,  228.58 ,
        230.748,  232.898,  235.037,  237.18 ,  239.312,  241.4  ,
        243.467,  245.504,  247.396,  249.126,  250.618,  251.784,
        252.525,  252.995,  253.279,  253.578,  254.056,  254.706,
        255.465,  256.295,  257.363,  258.677,  260.122,  261.021,
        262.433,  262.721,  262.721,  262.721,  262.721])

self["N2O"] = numpy.array([ 0.00064   ,  0.00064   ,  0.00064   ,  0.00152999,  0.00242999,
        0.00117999,  0.00090999,  0.00083999,  0.00135999,  0.00231999,
        0.00231999,  0.00340998,  0.00538997,  0.00601996,  0.00629996,
        0.00568997,  0.00555997,  0.00633996,  0.00701996,  0.00717996,
        0.00733996,  0.00874995,  0.01071994,  0.01260993,  0.01719991,
        0.02196989,  0.02656988,  0.03507985,  0.04465981,  0.05389979,
        0.06454978,  0.08152975,  0.09796973,  0.1139097 ,  0.1296197 ,
        0.1459796 ,  0.1618696 ,  0.1773195 ,  0.1873196 ,  0.1978596 ,
        0.2078696 ,  0.2218695 ,  0.2369395 ,  0.2513095 ,  0.2664795 ,
        0.2805094 ,  0.2931492 ,  0.3041591 ,  0.3086591 ,  0.3128091 ,
        0.3165192 ,  0.3197293 ,  0.3223692 ,  0.3243591 ,  0.325619  ,
        0.3260588 ,  0.3260586 ,  0.3260586 ,  0.3260584 ,  0.326058  ,
        0.3260575 ,  0.3260568 ,  0.326056  ,  0.3260548 ,  0.3260533 ,
        0.3260515 ,  0.3260495 ,  0.3260471 ,  0.3260441 ,  0.3260406 ,
        0.3260353 ,  0.3260276 ,  0.326018  ,  0.326006  ,  0.3259936 ,
        0.3259815 ,  0.3259702 ,  0.3259587 ,  0.3259474 ,  0.3259366 ,
        0.3259292 ,  0.3259252 ,  0.325926  ,  0.3259333 ,  0.3259517 ,
        0.3259732 ,  0.3259885 ,  0.3259937 ,  0.3259892 ,  0.3259793 ,
        0.3259683 ,  0.3259547 ,  0.3259354 ,  0.3259153 ,  0.3259065 ,
        0.3258219 ,  0.3255945 ,  0.3255943 ,  0.325607  ,  0.3256191 ,
        0.3256308 ])

self["O3"] = numpy.array([ 0.3833032 ,  0.379991  ,  0.4054796 ,  0.5628047 ,  0.7822775 ,
        0.9747037 ,  1.144153  ,  1.330411  ,  1.59209   ,  1.970397  ,
        2.400345  ,  2.865332  ,  3.397889  ,  3.960576  ,  4.512993  ,
        5.00907   ,  5.322168  ,  5.445578  ,  5.494497  ,  5.466907  ,
        5.295778  ,  4.878661  ,  4.363014  ,  3.741189  ,  3.034734  ,
        2.298199  ,  1.552413  ,  0.915565  ,  0.482365  ,  0.270973  ,
        0.2229052 ,  0.2149923 ,  0.2049664 ,  0.1715866 ,  0.1559696 ,
        0.1769955 ,  0.2055104 ,  0.2083855 ,  0.1826036 ,  0.1211778 ,
        0.1014818 ,  0.1161787 ,  0.1375187 ,  0.1239958 ,  0.1252148 ,
        0.1516437 ,  0.1866455 ,  0.2064414 ,  0.2063884 ,  0.1920335 ,
        0.1733516 ,  0.1497307 ,  0.1232207 ,  0.1006267 ,  0.08852073,
        0.08540479,  0.07975096,  0.06260013,  0.05474082,  0.05198508,
        0.0513265 ,  0.05071561,  0.04981589,  0.04887002,  0.04800572,
        0.04727127,  0.04673819,  0.04635646,  0.04595446,  0.04547859,
        0.04472171,  0.04389954,  0.04311175,  0.04257554,  0.0422454 ,
        0.04196419,  0.04164232,  0.04124678,  0.0408164 ,  0.04036052,
        0.04015128,  0.04012511,  0.04034791,  0.04086802,  0.0415296 ,
        0.04199571,  0.04231682,  0.04249655,  0.04257805,  0.04261505,
        0.04272328,  0.04307088,  0.04355025,  0.04352698,  0.04184159,
        0.03849037,  0.03353845,  0.03250891,  0.03251017,  0.03251138,
        0.03251255])

self["CH4"] = numpy.array([ 0.1535747,  0.1391646,  0.1284526,  0.1242995,  0.1556203,
        0.184915 ,  0.1875468,  0.1899588,  0.1950237,  0.2149316,
        0.2475734,  0.2920561,  0.3440649,  0.4217594,  0.496425 ,
        0.5716116,  0.6440492,  0.7158017,  0.7827613,  0.839148 ,
        0.8928646,  0.9464973,  0.9989732,  1.049244 ,  1.096064 ,
        1.140864 ,  1.183974 ,  1.217205 ,  1.246495 ,  1.270685 ,
        1.296636 ,  1.324426 ,  1.354116 ,  1.379907 ,  1.404756 ,
        1.428216 ,  1.449796 ,  1.468946 ,  1.480207 ,  1.492067 ,
        1.504557 ,  1.517676 ,  1.531457 ,  1.555397 ,  1.570827 ,
        1.586976 ,  1.600716 ,  1.612715 ,  1.625115 ,  1.637435 ,
        1.650256 ,  1.663776 ,  1.677876 ,  1.691525 ,  1.703745 ,
        1.716394 ,  1.722773 ,  1.729263 ,  1.732371 ,  1.733729 ,
        1.734566 ,  1.734443 ,  1.734259 ,  1.733522 ,  1.732764 ,
        1.731735 ,  1.730644 ,  1.729721 ,  1.728846 ,  1.728107 ,
        1.727479 ,  1.726918 ,  1.726458 ,  1.726004 ,  1.725599 ,
        1.725204 ,  1.724845 ,  1.724534 ,  1.724274 ,  1.724127 ,
        1.724068 ,  1.724197 ,  1.724401 ,  1.72474  ,  1.725157 ,
        1.7256   ,  1.725992 ,  1.726299 ,  1.726515 ,  1.726662 ,
        1.726744 ,  1.726742 ,  1.72665  ,  1.726604 ,  1.726597 ,
        1.726189 ,  1.725004 ,  1.725023 ,  1.72509  ,  1.725154 ,
        1.725216 ])

self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 0
self["ISH"] = 0
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 262.721
self["S2M"]["Q"] = 1316.27513621
self["S2M"]["O"] = 0.0325125481364
self["S2M"]["P"] = 991.1839
self["S2M"]["U"] = 0.0
self["S2M"]["V"] = 0.0
self["S2M"]["WFETC"] = 100000.0
self["SKIN"]["SURFTYPE"] = 1
self["SKIN"]["WATERTYPE"] = 1
self["SKIN"]["T"] = 262.721
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"] = -68.02
self["GAS_UNITS"] = 2
self["BE"] = 0.0
self["COSBK"] = 0.0

self["DATE"] = numpy.array([2006,   10,    1])

self["TIME"] = numpy.array([0, 0, 0])
Profile ../profile-datasets-py/div83/080.py         file automaticaly created by prof_gen.py script