"""
    Profile ../profile-datasets-py/div52/011.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/div52/011.py"
self["Q"] = numpy.array([  1.60776800e+00,   5.75602400e+00,   7.00189400e+00,
         7.33717600e+00,   6.76175900e+00,   8.41951900e+00,
         6.54641500e+00,   8.55272200e+00,   6.77920300e+00,
         7.25516400e+00,   7.37081000e+00,   5.92257200e+00,
         6.50599600e+00,   6.64283300e+00,   6.28100600e+00,
         5.43963200e+00,   5.08957400e+00,   5.38038600e+00,
         5.50633800e+00,   5.62897900e+00,   5.19042900e+00,
         4.84112700e+00,   4.63224600e+00,   4.76220200e+00,
         4.69470800e+00,   4.51451000e+00,   4.58671400e+00,
         4.67290700e+00,   4.57081400e+00,   4.47585900e+00,
         4.42605100e+00,   4.37786600e+00,   4.38445800e+00,
         4.39293100e+00,   4.40466700e+00,   4.41761000e+00,
         4.37084000e+00,   4.20133400e+00,   4.03640900e+00,
         3.99758200e+00,   3.97225900e+00,   3.89513500e+00,
         3.76079000e+00,   3.63594700e+00,   3.81527700e+00,
         3.99037900e+00,   4.23041800e+00,   4.51608500e+00,
         4.76413100e+00,   4.79784600e+00,   4.83083700e+00,
         6.93679600e+00,   9.88992600e+00,   1.41402000e+01,
         2.17185200e+01,   2.91457900e+01,   3.96929600e+01,
         5.04349000e+01,   6.08671100e+01,   7.10095300e+01,
         8.43479200e+01,   1.11923300e+02,   1.38998100e+02,
         1.94360100e+02,   2.52783000e+02,   3.20280200e+02,
         3.93544100e+02,   4.69894600e+02,   5.53426000e+02,
         6.41501600e+02,   7.71092500e+02,   8.98548200e+02,
         1.06642900e+03,   1.23389900e+03,   1.45307300e+03,
         1.68006300e+03,   2.07637800e+03,   2.51954400e+03,
         3.27713300e+03,   4.12034400e+03,   5.07040900e+03,
         6.02835400e+03,   6.34354100e+03,   6.44987700e+03,
         5.89160400e+03,   5.06925600e+03,   4.04401800e+03,
         3.04533400e+03,   2.16305800e+03,   1.42927300e+03,
         9.42830700e+02,   8.61332300e+02,   9.09295200e+02,
         1.23575300e+03,   1.77325600e+03,   3.36407200e+03,
         5.26097100e+03,   5.71855000e+03,   5.98901400e+03,
         5.82855400e+03,   5.67443100e+03])

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([ 311.3895,  311.3882,  311.3878,  311.3877,  311.3879,  311.3874,
        311.388 ,  311.3873,  311.3879,  311.3877,  311.3877,  311.3882,
        311.388 ,  311.3879,  311.388 ,  311.3883,  311.3884,  311.3883,
        311.3883,  311.3882,  311.3884,  311.3885,  311.3886,  311.3885,
        311.3885,  311.3886,  311.3886,  311.3885,  311.3886,  311.3886,
        311.3886,  311.3886,  311.3886,  311.3886,  311.3886,  311.3886,
        311.3886,  311.3887,  311.3887,  311.3888,  311.3888,  311.3888,
        311.8368,  312.3079,  312.7998,  313.3147,  313.8527,  314.4136,
        314.9985,  315.6075,  316.2405,  316.8978,  317.5809,  318.2885,
        319.0201,  319.7787,  320.5633,  321.3738,  321.3704,  321.3672,
        321.3629,  321.354 ,  321.3453,  321.3275,  321.3088,  321.2871,
        321.2635,  321.239 ,  321.2121,  321.1838,  321.1422,  321.1012,
        321.0473,  320.9934,  320.923 ,  320.85  ,  320.7227,  320.5802,
        320.3368,  320.0658,  319.7604,  319.4525,  319.3512,  319.3171,
        319.4965,  319.7608,  320.0903,  320.4113,  320.6948,  320.9306,
        321.087 ,  321.1132,  321.0978,  320.9928,  320.8201,  320.3088,
        319.6992,  319.5521,  319.4652,  319.5168,  319.5663])

self["T"] = numpy.array([ 170.672,  167.1  ,  177.713,  195.506,  207.725,  218.427,
        235.452,  261.271,  286.139,  302.526,  307.761,  299.105,
        277.321,  254.123,  242.604,  242.111,  244.188,  247.235,
        249.79 ,  251.021,  249.495,  247.35 ,  245.156,  243.382,
        241.117,  238.603,  237.177,  235.891,  234.271,  232.728,
        231.48 ,  230.272,  230.403,  230.58 ,  230.857,  231.173,
        231.319,  231.125,  230.936,  230.468,  229.983,  229.041,
        227.593,  226.199,  225.705,  225.223,  225.188,  225.476,
        225.743,  225.913,  226.079,  225.665,  225.013,  224.05 ,
        222.293,  220.571,  219.676,  218.897,  218.878,  219.527,
        220.435,  222.487,  224.501,  226.873,  229.258,  231.594,
        233.885,  236.173,  238.493,  240.796,  243.218,  245.601,
        248.126,  250.621,  253.108,  255.562,  257.808,  259.968,
        261.977,  263.921,  265.771,  267.581,  269.295,  270.928,
        272.357,  273.557,  274.577,  275.147,  275.554,  275.814,
        276.066,  276.464,  277.23 ,  278.183,  278.559,  276.474,
        273.474,  274.53 ,  274.81 ,  274.81 ,  274.81 ])

self["O3"] = numpy.array([ 0.2033725 ,  0.2424187 ,  0.3208637 ,  0.4562969 ,  0.736027  ,
        1.047125  ,  1.27765   ,  1.424369  ,  1.592244  ,  1.945423  ,
        2.494494  ,  3.276502  ,  4.362954  ,  5.659009  ,  6.054292  ,
        6.016611  ,  5.807721  ,  5.465095  ,  5.068172  ,  4.685214  ,
        4.427215  ,  4.293835  ,  4.20855   ,  4.135007  ,  4.034985  ,
        3.921192  ,  3.781656  ,  3.644418  ,  3.521658  ,  3.404957  ,
        3.31342   ,  3.224845  ,  3.115542  ,  3.008671  ,  2.838926  ,
        2.645074  ,  2.436685  ,  2.192161  ,  1.954276  ,  1.756302  ,
        1.566934  ,  1.406719  ,  1.277961  ,  1.153048  ,  1.06527   ,
        0.9795561 ,  0.90675   ,  0.8436835 ,  0.7768094 ,  0.6765951 ,
        0.5785423 ,  0.4980748 ,  0.4259511 ,  0.3548743 ,  0.284146  ,
        0.2148278 ,  0.170396  ,  0.1296997 ,  0.09665075,  0.07037028,
        0.04774848,  0.0390997 ,  0.03060822,  0.02923244,  0.02885916,
        0.02934259,  0.03040131,  0.03152678,  0.03279865,  0.03412979,
        0.03602205,  0.0378829 ,  0.03856705,  0.03917781,  0.03968628,
        0.04016728,  0.04066729,  0.04116737,  0.04188355,  0.04265563,
        0.04372776,  0.04484095,  0.0448461 ,  0.04464854,  0.0438066 ,
        0.04338835,  0.04330029,  0.04399183,  0.04493602,  0.0461    ,
        0.04719323,  0.04845931,  0.05025693,  0.05333931,  0.05646073,
        0.05959075,  0.06483308,  0.05655864,  0.0507791 ,  0.05078729,
        0.05079517])

self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 0
self["ISH"] = 0
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 274.81
self["S2M"]["Q"] = 6138.87608117
self["S2M"]["O"] = 0.0507714396589
self["S2M"]["P"] = 1016.79
self["S2M"]["U"] = 8.31799
self["S2M"]["V"] = -1.2184
self["S2M"]["WFETC"] = 100000.0
self["SKIN"]["SURFTYPE"] = 1
self["SKIN"]["WATERTYPE"] = 1
self["SKIN"]["T"] = 272.988
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"] = 80.1708
self["GAS_UNITS"] = 2
self["BE"] = 0.0
self["COSBK"] = 0.0

self["DATE"] = numpy.array([1992,    7,   15])

self["TIME"] = numpy.array([18,  0,  0])

"""
    Profile ../profile-datasets-py/div52/011.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/div52/011.py"
self["Q"] = numpy.array([  1.60776800e+00,   5.75602400e+00,   7.00189400e+00,
         7.33717600e+00,   6.76175900e+00,   8.41951900e+00,
         6.54641500e+00,   8.55272200e+00,   6.77920300e+00,
         7.25516400e+00,   7.37081000e+00,   5.92257200e+00,
         6.50599600e+00,   6.64283300e+00,   6.28100600e+00,
         5.43963200e+00,   5.08957400e+00,   5.38038600e+00,
         5.50633800e+00,   5.62897900e+00,   5.19042900e+00,
         4.84112700e+00,   4.63224600e+00,   4.76220200e+00,
         4.69470800e+00,   4.51451000e+00,   4.58671400e+00,
         4.67290700e+00,   4.57081400e+00,   4.47585900e+00,
         4.42605100e+00,   4.37786600e+00,   4.38445800e+00,
         4.39293100e+00,   4.40466700e+00,   4.41761000e+00,
         4.37084000e+00,   4.20133400e+00,   4.03640900e+00,
         3.99758200e+00,   3.97225900e+00,   3.89513500e+00,
         3.76079000e+00,   3.63594700e+00,   3.81527700e+00,
         3.99037900e+00,   4.23041800e+00,   4.51608500e+00,
         4.76413100e+00,   4.79784600e+00,   4.83083700e+00,
         6.93679600e+00,   9.88992600e+00,   1.41402000e+01,
         2.17185200e+01,   2.91457900e+01,   3.96929600e+01,
         5.04349000e+01,   6.08671100e+01,   7.10095300e+01,
         8.43479200e+01,   1.11923300e+02,   1.38998100e+02,
         1.94360100e+02,   2.52783000e+02,   3.20280200e+02,
         3.93544100e+02,   4.69894600e+02,   5.53426000e+02,
         6.41501600e+02,   7.71092500e+02,   8.98548200e+02,
         1.06642900e+03,   1.23389900e+03,   1.45307300e+03,
         1.68006300e+03,   2.07637800e+03,   2.51954400e+03,
         3.27713300e+03,   4.12034400e+03,   5.07040900e+03,
         6.02835400e+03,   6.34354100e+03,   6.44987700e+03,
         5.89160400e+03,   5.06925600e+03,   4.04401800e+03,
         3.04533400e+03,   2.16305800e+03,   1.42927300e+03,
         9.42830700e+02,   8.61332300e+02,   9.09295200e+02,
         1.23575300e+03,   1.77325600e+03,   3.36407200e+03,
         5.26097100e+03,   5.71855000e+03,   5.98901400e+03,
         5.82855400e+03,   5.67443100e+03])

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([ 311.3895,  311.3882,  311.3878,  311.3877,  311.3879,  311.3874,
        311.388 ,  311.3873,  311.3879,  311.3877,  311.3877,  311.3882,
        311.388 ,  311.3879,  311.388 ,  311.3883,  311.3884,  311.3883,
        311.3883,  311.3882,  311.3884,  311.3885,  311.3886,  311.3885,
        311.3885,  311.3886,  311.3886,  311.3885,  311.3886,  311.3886,
        311.3886,  311.3886,  311.3886,  311.3886,  311.3886,  311.3886,
        311.3886,  311.3887,  311.3887,  311.3888,  311.3888,  311.3888,
        311.8368,  312.3079,  312.7998,  313.3147,  313.8527,  314.4136,
        314.9985,  315.6075,  316.2405,  316.8978,  317.5809,  318.2885,
        319.0201,  319.7787,  320.5633,  321.3738,  321.3704,  321.3672,
        321.3629,  321.354 ,  321.3453,  321.3275,  321.3088,  321.2871,
        321.2635,  321.239 ,  321.2121,  321.1838,  321.1422,  321.1012,
        321.0473,  320.9934,  320.923 ,  320.85  ,  320.7227,  320.5802,
        320.3368,  320.0658,  319.7604,  319.4525,  319.3512,  319.3171,
        319.4965,  319.7608,  320.0903,  320.4113,  320.6948,  320.9306,
        321.087 ,  321.1132,  321.0978,  320.9928,  320.8201,  320.3088,
        319.6992,  319.5521,  319.4652,  319.5168,  319.5663])

self["T"] = numpy.array([ 170.672,  167.1  ,  177.713,  195.506,  207.725,  218.427,
        235.452,  261.271,  286.139,  302.526,  307.761,  299.105,
        277.321,  254.123,  242.604,  242.111,  244.188,  247.235,
        249.79 ,  251.021,  249.495,  247.35 ,  245.156,  243.382,
        241.117,  238.603,  237.177,  235.891,  234.271,  232.728,
        231.48 ,  230.272,  230.403,  230.58 ,  230.857,  231.173,
        231.319,  231.125,  230.936,  230.468,  229.983,  229.041,
        227.593,  226.199,  225.705,  225.223,  225.188,  225.476,
        225.743,  225.913,  226.079,  225.665,  225.013,  224.05 ,
        222.293,  220.571,  219.676,  218.897,  218.878,  219.527,
        220.435,  222.487,  224.501,  226.873,  229.258,  231.594,
        233.885,  236.173,  238.493,  240.796,  243.218,  245.601,
        248.126,  250.621,  253.108,  255.562,  257.808,  259.968,
        261.977,  263.921,  265.771,  267.581,  269.295,  270.928,
        272.357,  273.557,  274.577,  275.147,  275.554,  275.814,
        276.066,  276.464,  277.23 ,  278.183,  278.559,  276.474,
        273.474,  274.53 ,  274.81 ,  274.81 ,  274.81 ])

self["O3"] = numpy.array([ 0.2033725 ,  0.2424187 ,  0.3208637 ,  0.4562969 ,  0.736027  ,
        1.047125  ,  1.27765   ,  1.424369  ,  1.592244  ,  1.945423  ,
        2.494494  ,  3.276502  ,  4.362954  ,  5.659009  ,  6.054292  ,
        6.016611  ,  5.807721  ,  5.465095  ,  5.068172  ,  4.685214  ,
        4.427215  ,  4.293835  ,  4.20855   ,  4.135007  ,  4.034985  ,
        3.921192  ,  3.781656  ,  3.644418  ,  3.521658  ,  3.404957  ,
        3.31342   ,  3.224845  ,  3.115542  ,  3.008671  ,  2.838926  ,
        2.645074  ,  2.436685  ,  2.192161  ,  1.954276  ,  1.756302  ,
        1.566934  ,  1.406719  ,  1.277961  ,  1.153048  ,  1.06527   ,
        0.9795561 ,  0.90675   ,  0.8436835 ,  0.7768094 ,  0.6765951 ,
        0.5785423 ,  0.4980748 ,  0.4259511 ,  0.3548743 ,  0.284146  ,
        0.2148278 ,  0.170396  ,  0.1296997 ,  0.09665075,  0.07037028,
        0.04774848,  0.0390997 ,  0.03060822,  0.02923244,  0.02885916,
        0.02934259,  0.03040131,  0.03152678,  0.03279865,  0.03412979,
        0.03602205,  0.0378829 ,  0.03856705,  0.03917781,  0.03968628,
        0.04016728,  0.04066729,  0.04116737,  0.04188355,  0.04265563,
        0.04372776,  0.04484095,  0.0448461 ,  0.04464854,  0.0438066 ,
        0.04338835,  0.04330029,  0.04399183,  0.04493602,  0.0461    ,
        0.04719323,  0.04845931,  0.05025693,  0.05333931,  0.05646073,
        0.05959075,  0.06483308,  0.05655864,  0.0507791 ,  0.05078729,
        0.05079517])

self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 0
self["ISH"] = 0
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 274.81
self["S2M"]["Q"] = 6138.87608117
self["S2M"]["O"] = 0.0507714396589
self["S2M"]["P"] = 1016.79
self["S2M"]["U"] = 8.31799
self["S2M"]["V"] = -1.2184
self["S2M"]["WFETC"] = 100000.0
self["SKIN"]["SURFTYPE"] = 1
self["SKIN"]["WATERTYPE"] = 1
self["SKIN"]["T"] = 272.988
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"] = 80.1708
self["GAS_UNITS"] = 2
self["BE"] = 0.0
self["COSBK"] = 0.0

self["DATE"] = numpy.array([1992,    7,   15])

self["TIME"] = numpy.array([18,  0,  0])

Profile ../profile-datasets-py/div52/011.py         file automaticaly created by prof_gen.py script