"""
    Profile ../profile-datasets-py/standard54lev_allgas/004.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/standard54lev_allgas/004.py"
self["Q"] = numpy.array([  1.39778500e+00,   2.03490900e+00,   2.66179600e+00,
         3.22653400e+00,   3.85400000e+00,   4.34050800e+00,
         4.69177600e+00,   4.88752800e+00,   4.96471600e+00,
         4.99997500e+00,   4.99997500e+00,   4.99997500e+00,
         4.99997500e+00,   4.99997500e+00,   4.99997500e+00,
         4.99997500e+00,   4.96436900e+00,   4.92891200e+00,
         4.88938700e+00,   4.83478200e+00,   4.77839500e+00,
         4.64098900e+00,   4.51059500e+00,   4.26761900e+00,
         4.03488200e+00,   3.99998400e+00,   3.99998400e+00,
         4.21258700e+00,   5.10167700e+00,   8.35916200e+00,
         1.84628300e+01,   4.19689200e+01,   1.09234400e+02,
         2.69385300e+02,   4.96848800e+02,   7.75051700e+02,
         1.12487800e+03,   1.55946400e+03,   2.10815100e+03,
         2.75829400e+03,   3.40616000e+03,   4.15682500e+03,
         4.87526000e+03,   5.76160200e+03,   6.57754200e+03,
         7.34365500e+03,   8.04433700e+03,   8.71264100e+03,
         9.67147400e+03,   1.05186200e+04,   1.12559500e+04,
         1.18850600e+04,   1.24073100e+04,   1.28238200e+04])

self["P"] = numpy.array([  5.00000000e-03,   1.31000000e-02,   3.04000000e-02,
         6.44000000e-02,   1.26300000e-01,   2.32400000e-01,
         4.05200000e-01,   6.74900000e-01,   1.08010000e+00,
         1.66910000e+00,   2.50110000e+00,   3.64620000e+00,
         5.18640000e+00,   7.21500000e+00,   9.83680000e+00,
         1.31672000e+01,   1.73308000e+01,   2.24601000e+01,
         2.86937000e+01,   3.61735000e+01,   4.50430000e+01,
         5.54433000e+01,   6.75109000e+01,   8.13744000e+01,
         9.71505000e+01,   1.14941500e+02,   1.34831800e+02,
         1.56884600e+02,   1.81139400e+02,   2.07609200e+02,
         2.36278400e+02,   2.67101200e+02,   3.00000000e+02,
         3.34864800e+02,   3.71552900e+02,   4.09889300e+02,
         4.49667700e+02,   4.90651600e+02,   5.32576900e+02,
         5.75153800e+02,   6.18070600e+02,   6.60996500e+02,
         7.03586300e+02,   7.45484100e+02,   7.86327800e+02,
         8.25754600e+02,   8.63404700e+02,   8.98927500e+02,
         9.31985300e+02,   9.62258700e+02,   9.89451000e+02,
         1.01329200e+03,   1.03354400e+03,   1.05000000e+03])

self["CO2"] = numpy.array([ 395.303 ,  398.0989,  399.8898,  399.9987,  399.9985,  399.9983,
        399.9981,  399.998 ,  399.998 ,  399.998 ,  399.998 ,  399.998 ,
        399.998 ,  399.998 ,  399.998 ,  399.998 ,  399.998 ,  399.998 ,
        399.998 ,  399.9981,  399.9981,  399.9981,  399.9982,  399.9983,
        399.9984,  399.9984,  399.9984,  399.9983,  399.998 ,  399.9967,
        399.9926,  399.9832,  399.9563,  399.8922,  399.8013,  399.69  ,
        399.55  ,  399.3762,  399.1567,  398.8967,  398.6375,  398.3373,
        398.0499,  397.6954,  397.369 ,  397.0625,  396.7823,  396.5149,
        396.1314,  395.7926,  395.4976,  395.246 ,  395.0371,  394.8705])

self["CO"] = numpy.array([ 1.718423  ,  0.7651538 ,  0.3298241 ,  0.140334  ,  0.07498011,
        0.05158616,  0.04074415,  0.03488511,  0.03154832,  0.02862698,
        0.02642932,  0.0246338 ,  0.0229822 ,  0.02136729,  0.01972777,
        0.01817334,  0.01694764,  0.01590434,  0.01486698,  0.01329338,
        0.01231994,  0.01290394,  0.01525851,  0.02033694,  0.02664172,
        0.0342136 ,  0.04439452,  0.05662319,  0.06979418,  0.08185591,
        0.09140905,  0.09946859,  0.1070713 ,  0.1140765 ,  0.1199611 ,
        0.1242691 ,  0.1270885 ,  0.1289903 ,  0.1298477 ,  0.1303638 ,
        0.1308499 ,  0.1326867 ,  0.1344464 ,  0.1366341 ,  0.138648  ,
        0.140554  ,  0.1423    ,  0.1438717 ,  0.1452256 ,  0.1464219 ,
        0.1474631 ,  0.1483515 ,  0.149089  ,  0.1496771 ])

self["T"] = numpy.array([ 162.6005,  171.7471,  192.345 ,  213.7842,  234.8825,  255.3642,
        268.8923,  275.2017,  276.9052,  274.335 ,  269.3013,  260.5016,
        252.5294,  245.4093,  239.3723,  235.3422,  232.1803,  229.7783,
        227.7823,  225.5364,  225.2   ,  225.2   ,  225.2   ,  225.2   ,
        225.2   ,  225.2   ,  225.2   ,  225.2   ,  225.2   ,  225.2   ,
        225.2   ,  225.2   ,  230.5416,  235.8209,  240.8924,  245.7277,
        250.4222,  254.928 ,  259.2692,  262.6463,  265.6418,  268.4782,
        271.1214,  273.628 ,  275.9393,  278.0935,  280.063 ,  281.8498,
        283.5083,  284.9763,  286.256 ,  287.3495,  288.2582,  288.9836])

self["N2O"] = numpy.array([ 0.00040468,  0.00046933,  0.00054895,  0.00066069,  0.00084259,
        0.00110957,  0.00151594,  0.00215177,  0.00331473,  0.00579747,
        0.00910135,  0.01417848,  0.02252017,  0.0331104 ,  0.04382911,
        0.05852636,  0.06927967,  0.07936974,  0.09011719,  0.1074917 ,
        0.1246482 ,  0.1478    ,  0.1790453 ,  0.2053632 ,  0.2210101 ,
        0.231149  ,  0.2390858 ,  0.2461809 ,  0.2517112 ,  0.2565461 ,
        0.2609001 ,  0.2650136 ,  0.2690387 ,  0.2731232 ,  0.2773074 ,
        0.2816416 ,  0.2870634 ,  0.2932236 ,  0.3003649 ,  0.3041522 ,
        0.3069062 ,  0.3077735 ,  0.3084887 ,  0.3082139 ,  0.307961  ,
        0.3077235 ,  0.3075063 ,  0.3072991 ,  0.3070018 ,  0.3067392 ,
        0.3065107 ,  0.3063156 ,  0.3061537 ,  0.3060246 ])

self["O3"] = numpy.array([ 0.602447  ,  0.1809971 ,  0.1989081 ,  0.3755137 ,  0.7165774 ,
        1.072417  ,  1.47399   ,  2.000404  ,  2.706352  ,  3.917285  ,
        5.442935  ,  7.170459  ,  7.771981  ,  7.500992  ,  6.746234  ,
        5.759289  ,  5.415124  ,  4.962952  ,  4.436446  ,  3.820114  ,
        3.170493  ,  2.346052  ,  1.742454  ,  1.261159  ,  0.9546903 ,
        0.7893821 ,  0.6540131 ,  0.5527521 ,  0.4621568 ,  0.3760627 ,
        0.284413  ,  0.1907034 ,  0.1531182 ,  0.1156601 ,  0.08772144,
        0.07806187,  0.07005212,  0.06231487,  0.05463157,  0.04913605,
        0.04447286,  0.04134797,  0.0384732 ,  0.03609454,  0.03390481,
        0.03209452,  0.03048358,  0.02900129,  0.02739648,  0.02597859,
        0.02474452,  0.02369156,  0.02281746,  0.02212034])

self["CH4"] = numpy.array([ 0.1649998,  0.1649997,  0.1649996,  0.1649995,  0.1649994,
        0.1649993,  0.1649992,  0.1716083,  0.1936248,  0.2551108,
        0.3312332,  0.4265854,  0.5182488,  0.5941253,  0.6554837,
        0.7056041,  0.7488797,  0.7892997,  0.8349521,  0.9283087,
        1.026097 ,  1.142339 ,  1.262769 ,  1.361538 ,  1.436271 ,
        1.497086 ,  1.550656 ,  1.596622 ,  1.634279 ,  1.669384 ,
        1.70339  ,  1.736227 ,  1.766925 ,  1.783985 ,  1.796403 ,
        1.811308 ,  1.827464 ,  1.840634 ,  1.849834 ,  1.855754 ,
        1.860428 ,  1.860753 ,  1.860883 ,  1.859226 ,  1.8577   ,
        1.856267 ,  1.854957 ,  1.853707 ,  1.851914 ,  1.85033  ,
        1.848951 ,  1.847775 ,  1.846798 ,  1.846019 ])

self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 4
self["ISH"] = 2
self["ELEVATION"] = 0.5
self["S2M"]["T"] = 287.2
self["S2M"]["Q"] = 12774.695441
self["S2M"]["O"] = 0.0208501984323
self["S2M"]["P"] = 1050.0
self["S2M"]["U"] = 4.0
self["S2M"]["V"] = 1.0
self["S2M"]["WFETC"] = 100000.0
self["SKIN"]["SURFTYPE"] = 0
self["SKIN"]["WATERTYPE"] = 0
self["SKIN"]["T"] = 295.2
self["SKIN"]["SALINITY"] = 35.0
self["SKIN"]["FOAM_FRACTION"] = 0.2
self["SKIN"]["FASTEM"] = numpy.array([  3. ,   5. ,  15. ,   0.1,   0.3])

self["ZENANGLE"] = 55.0
self["AZANGLE"] = 25.0
self["SUNZENANGLE"] = 15.0
self["SUNAZANGLE"] = 120.0
self["LATITUDE"] = 60.0
self["GAS_UNITS"] = 2
self["BE"] = 0.2
self["COSBK"] = 0.5

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

self["TIME"] = numpy.array([23,  0,  0])

"""
    Profile ../profile-datasets-py/standard54lev_allgas/004.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/standard54lev_allgas/004.py"
self["Q"] = numpy.array([  1.39778500e+00,   2.03490900e+00,   2.66179600e+00,
         3.22653400e+00,   3.85400000e+00,   4.34050800e+00,
         4.69177600e+00,   4.88752800e+00,   4.96471600e+00,
         4.99997500e+00,   4.99997500e+00,   4.99997500e+00,
         4.99997500e+00,   4.99997500e+00,   4.99997500e+00,
         4.99997500e+00,   4.96436900e+00,   4.92891200e+00,
         4.88938700e+00,   4.83478200e+00,   4.77839500e+00,
         4.64098900e+00,   4.51059500e+00,   4.26761900e+00,
         4.03488200e+00,   3.99998400e+00,   3.99998400e+00,
         4.21258700e+00,   5.10167700e+00,   8.35916200e+00,
         1.84628300e+01,   4.19689200e+01,   1.09234400e+02,
         2.69385300e+02,   4.96848800e+02,   7.75051700e+02,
         1.12487800e+03,   1.55946400e+03,   2.10815100e+03,
         2.75829400e+03,   3.40616000e+03,   4.15682500e+03,
         4.87526000e+03,   5.76160200e+03,   6.57754200e+03,
         7.34365500e+03,   8.04433700e+03,   8.71264100e+03,
         9.67147400e+03,   1.05186200e+04,   1.12559500e+04,
         1.18850600e+04,   1.24073100e+04,   1.28238200e+04])

self["P"] = numpy.array([  5.00000000e-03,   1.31000000e-02,   3.04000000e-02,
         6.44000000e-02,   1.26300000e-01,   2.32400000e-01,
         4.05200000e-01,   6.74900000e-01,   1.08010000e+00,
         1.66910000e+00,   2.50110000e+00,   3.64620000e+00,
         5.18640000e+00,   7.21500000e+00,   9.83680000e+00,
         1.31672000e+01,   1.73308000e+01,   2.24601000e+01,
         2.86937000e+01,   3.61735000e+01,   4.50430000e+01,
         5.54433000e+01,   6.75109000e+01,   8.13744000e+01,
         9.71505000e+01,   1.14941500e+02,   1.34831800e+02,
         1.56884600e+02,   1.81139400e+02,   2.07609200e+02,
         2.36278400e+02,   2.67101200e+02,   3.00000000e+02,
         3.34864800e+02,   3.71552900e+02,   4.09889300e+02,
         4.49667700e+02,   4.90651600e+02,   5.32576900e+02,
         5.75153800e+02,   6.18070600e+02,   6.60996500e+02,
         7.03586300e+02,   7.45484100e+02,   7.86327800e+02,
         8.25754600e+02,   8.63404700e+02,   8.98927500e+02,
         9.31985300e+02,   9.62258700e+02,   9.89451000e+02,
         1.01329200e+03,   1.03354400e+03,   1.05000000e+03])

self["CO2"] = numpy.array([ 395.303 ,  398.0989,  399.8898,  399.9987,  399.9985,  399.9983,
        399.9981,  399.998 ,  399.998 ,  399.998 ,  399.998 ,  399.998 ,
        399.998 ,  399.998 ,  399.998 ,  399.998 ,  399.998 ,  399.998 ,
        399.998 ,  399.9981,  399.9981,  399.9981,  399.9982,  399.9983,
        399.9984,  399.9984,  399.9984,  399.9983,  399.998 ,  399.9967,
        399.9926,  399.9832,  399.9563,  399.8922,  399.8013,  399.69  ,
        399.55  ,  399.3762,  399.1567,  398.8967,  398.6375,  398.3373,
        398.0499,  397.6954,  397.369 ,  397.0625,  396.7823,  396.5149,
        396.1314,  395.7926,  395.4976,  395.246 ,  395.0371,  394.8705])

self["CO"] = numpy.array([ 1.718423  ,  0.7651538 ,  0.3298241 ,  0.140334  ,  0.07498011,
        0.05158616,  0.04074415,  0.03488511,  0.03154832,  0.02862698,
        0.02642932,  0.0246338 ,  0.0229822 ,  0.02136729,  0.01972777,
        0.01817334,  0.01694764,  0.01590434,  0.01486698,  0.01329338,
        0.01231994,  0.01290394,  0.01525851,  0.02033694,  0.02664172,
        0.0342136 ,  0.04439452,  0.05662319,  0.06979418,  0.08185591,
        0.09140905,  0.09946859,  0.1070713 ,  0.1140765 ,  0.1199611 ,
        0.1242691 ,  0.1270885 ,  0.1289903 ,  0.1298477 ,  0.1303638 ,
        0.1308499 ,  0.1326867 ,  0.1344464 ,  0.1366341 ,  0.138648  ,
        0.140554  ,  0.1423    ,  0.1438717 ,  0.1452256 ,  0.1464219 ,
        0.1474631 ,  0.1483515 ,  0.149089  ,  0.1496771 ])

self["T"] = numpy.array([ 162.6005,  171.7471,  192.345 ,  213.7842,  234.8825,  255.3642,
        268.8923,  275.2017,  276.9052,  274.335 ,  269.3013,  260.5016,
        252.5294,  245.4093,  239.3723,  235.3422,  232.1803,  229.7783,
        227.7823,  225.5364,  225.2   ,  225.2   ,  225.2   ,  225.2   ,
        225.2   ,  225.2   ,  225.2   ,  225.2   ,  225.2   ,  225.2   ,
        225.2   ,  225.2   ,  230.5416,  235.8209,  240.8924,  245.7277,
        250.4222,  254.928 ,  259.2692,  262.6463,  265.6418,  268.4782,
        271.1214,  273.628 ,  275.9393,  278.0935,  280.063 ,  281.8498,
        283.5083,  284.9763,  286.256 ,  287.3495,  288.2582,  288.9836])

self["N2O"] = numpy.array([ 0.00040468,  0.00046933,  0.00054895,  0.00066069,  0.00084259,
        0.00110957,  0.00151594,  0.00215177,  0.00331473,  0.00579747,
        0.00910135,  0.01417848,  0.02252017,  0.0331104 ,  0.04382911,
        0.05852636,  0.06927967,  0.07936974,  0.09011719,  0.1074917 ,
        0.1246482 ,  0.1478    ,  0.1790453 ,  0.2053632 ,  0.2210101 ,
        0.231149  ,  0.2390858 ,  0.2461809 ,  0.2517112 ,  0.2565461 ,
        0.2609001 ,  0.2650136 ,  0.2690387 ,  0.2731232 ,  0.2773074 ,
        0.2816416 ,  0.2870634 ,  0.2932236 ,  0.3003649 ,  0.3041522 ,
        0.3069062 ,  0.3077735 ,  0.3084887 ,  0.3082139 ,  0.307961  ,
        0.3077235 ,  0.3075063 ,  0.3072991 ,  0.3070018 ,  0.3067392 ,
        0.3065107 ,  0.3063156 ,  0.3061537 ,  0.3060246 ])

self["O3"] = numpy.array([ 0.602447  ,  0.1809971 ,  0.1989081 ,  0.3755137 ,  0.7165774 ,
        1.072417  ,  1.47399   ,  2.000404  ,  2.706352  ,  3.917285  ,
        5.442935  ,  7.170459  ,  7.771981  ,  7.500992  ,  6.746234  ,
        5.759289  ,  5.415124  ,  4.962952  ,  4.436446  ,  3.820114  ,
        3.170493  ,  2.346052  ,  1.742454  ,  1.261159  ,  0.9546903 ,
        0.7893821 ,  0.6540131 ,  0.5527521 ,  0.4621568 ,  0.3760627 ,
        0.284413  ,  0.1907034 ,  0.1531182 ,  0.1156601 ,  0.08772144,
        0.07806187,  0.07005212,  0.06231487,  0.05463157,  0.04913605,
        0.04447286,  0.04134797,  0.0384732 ,  0.03609454,  0.03390481,
        0.03209452,  0.03048358,  0.02900129,  0.02739648,  0.02597859,
        0.02474452,  0.02369156,  0.02281746,  0.02212034])

self["CH4"] = numpy.array([ 0.1649998,  0.1649997,  0.1649996,  0.1649995,  0.1649994,
        0.1649993,  0.1649992,  0.1716083,  0.1936248,  0.2551108,
        0.3312332,  0.4265854,  0.5182488,  0.5941253,  0.6554837,
        0.7056041,  0.7488797,  0.7892997,  0.8349521,  0.9283087,
        1.026097 ,  1.142339 ,  1.262769 ,  1.361538 ,  1.436271 ,
        1.497086 ,  1.550656 ,  1.596622 ,  1.634279 ,  1.669384 ,
        1.70339  ,  1.736227 ,  1.766925 ,  1.783985 ,  1.796403 ,
        1.811308 ,  1.827464 ,  1.840634 ,  1.849834 ,  1.855754 ,
        1.860428 ,  1.860753 ,  1.860883 ,  1.859226 ,  1.8577   ,
        1.856267 ,  1.854957 ,  1.853707 ,  1.851914 ,  1.85033  ,
        1.848951 ,  1.847775 ,  1.846798 ,  1.846019 ])

self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 4
self["ISH"] = 2
self["ELEVATION"] = 0.5
self["S2M"]["T"] = 287.2
self["S2M"]["Q"] = 12774.695441
self["S2M"]["O"] = 0.0208501984323
self["S2M"]["P"] = 1050.0
self["S2M"]["U"] = 4.0
self["S2M"]["V"] = 1.0
self["S2M"]["WFETC"] = 100000.0
self["SKIN"]["SURFTYPE"] = 0
self["SKIN"]["WATERTYPE"] = 0
self["SKIN"]["T"] = 295.2
self["SKIN"]["SALINITY"] = 35.0
self["SKIN"]["FOAM_FRACTION"] = 0.2
self["SKIN"]["FASTEM"] = numpy.array([  3. ,   5. ,  15. ,   0.1,   0.3])

self["ZENANGLE"] = 55.0
self["AZANGLE"] = 25.0
self["SUNZENANGLE"] = 15.0
self["SUNAZANGLE"] = 120.0
self["LATITUDE"] = 60.0
self["GAS_UNITS"] = 2
self["BE"] = 0.2
self["COSBK"] = 0.5

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

self["TIME"] = numpy.array([23,  0,  0])

Profile ../profile-datasets-py/standard54lev_allgas/004.py         file automaticaly created by prof_gen.py script