<gh_stars>0
"""
    Profile ../profile-datasets-py/div83/049.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/div83/049.py"
self["Q"] = numpy.array([  2.77593200e+00,   3.43089800e+00,   4.66451800e+00,
         5.91513500e+00,   6.33831000e+00,   6.31221000e+00,
         6.18516200e+00,   6.06175300e+00,   5.93311500e+00,
         5.46752000e+00,   4.60225900e+00,   4.14645300e+00,
         3.96535400e+00,   3.95467400e+00,   3.96666400e+00,
         3.84818500e+00,   3.65496700e+00,   3.53044800e+00,
         3.45718800e+00,   3.42438800e+00,   3.41736800e+00,
         3.42114800e+00,   3.45485800e+00,   3.52551800e+00,
         3.61742700e+00,   3.69114600e+00,   3.77301600e+00,
         3.90699500e+00,   4.02990400e+00,   4.13519300e+00,
         4.23969200e+00,   4.33041100e+00,   4.41498100e+00,
         4.44484000e+00,   4.42682000e+00,   4.39374100e+00,
         4.28192200e+00,   3.93093500e+00,   3.31354900e+00,
         2.69251300e+00,   2.04937600e+00,   1.34251800e+00,
         1.44336800e+00,   1.61508700e+00,   2.20871500e+00,
         3.31865900e+00,   5.28088200e+00,   8.83771200e+00,
         1.36947100e+01,   1.97778100e+01,   2.99601000e+01,
         4.31554400e+01,   5.54563200e+01,   6.48202000e+01,
         9.37393100e+01,   1.50872200e+02,   2.16572100e+02,
         2.72185900e+02,   2.74919400e+02,   2.57305800e+02,
         2.48987000e+02,   2.74065900e+02,   3.33515700e+02,
         6.06184300e+02,   1.06616200e+03,   1.66636900e+03,
         2.12074300e+03,   1.96575800e+03,   1.40199200e+03,
         4.81318200e+02,   2.79430900e+02,   2.19939600e+02,
         2.47065900e+02,   2.98339000e+02,   3.60615900e+02,
         4.42269300e+02,   8.19566800e+02,   1.10769200e+03,
         1.34855900e+03,   1.82136700e+03,   1.79446400e+03,
         1.59999600e+03,   1.54451100e+03,   1.91294400e+03,
         2.43756400e+03,   3.43598300e+03,   6.21927900e+03,
         1.21370800e+04,   1.85499000e+04,   2.19421400e+04,
         2.37541100e+04,   2.50153800e+04,   2.59980600e+04,
         2.69351200e+04,   2.78496800e+04,   2.86623300e+04,
         2.91345100e+04,   3.07782200e+04,   2.99421900e+04,
         2.91394100e+04,   2.83683400e+04])

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([ 373.768 ,  373.7687,  373.7723,  373.7778,  373.7866,  373.7996,
        373.8247,  373.8687,  373.9908,  374.241 ,  374.6203,  375.0524,
        375.3565,  375.4395,  375.4415,  375.4436,  375.5316,  375.6957,
        375.9377,  376.2367,  376.4927,  376.6607,  376.8037,  376.9667,
        377.1716,  377.4116,  377.6156,  377.8305,  378.0585,  378.2974,
        378.4694,  378.6524,  378.8393,  379.0383,  379.2443,  379.4603,
        379.7014,  379.9835,  380.2807,  380.547 ,  380.8222,  381.1025,
        381.3864,  381.6804,  381.8292,  381.9847,  381.827 ,  381.4176,
        381.0488,  381.0575,  381.0656,  381.0856,  381.1119,  381.1373,
        381.1483,  381.1495,  381.1394,  381.1322,  381.1362,  381.1399,
        381.1501,  381.1825,  381.2018,  381.2208,  381.1762,  381.0869,
        381.0592,  381.2631,  381.6192,  382.102 ,  382.2682,  382.3779,
        382.4085,  382.4309,  382.429 ,  382.4198,  382.2914,  382.1962,
        382.12  ,  381.9551,  381.9873,  382.0857,  382.1359,  382.0238,
        381.8529,  381.4927,  380.4441,  378.1865,  375.7501,  374.4866,
        373.8563,  373.4864,  373.183 ,  372.896 ,  372.5805,  372.2992,
        372.1415,  371.5289,  371.86  ,  372.1716,  372.4672])

self["CO"] = numpy.array([ 0.3102941 ,  0.28859   ,  0.2494668 ,  0.1939919 ,  0.1310002 ,
        0.07401283,  0.05794104,  0.1052874 ,  0.1100293 ,  0.1136574 ,
        0.1123315 ,  0.09933599,  0.07759579,  0.06324645,  0.05800547,
        0.05584519,  0.0541401 ,  0.05205022,  0.04962753,  0.04717654,
        0.04553454,  0.04304145,  0.04028686,  0.03778187,  0.03552747,
        0.03340848,  0.03279678,  0.03239907,  0.03322247,  0.03425026,
        0.03690234,  0.03996983,  0.0454729 ,  0.05226787,  0.05950614,
        0.0677135 ,  0.07700627,  0.08664396,  0.09813367,  0.1105367 ,
        0.1251267 ,  0.1403028 ,  0.1553128 ,  0.1723557 ,  0.1705926 ,
        0.1687684 ,  0.1645961 ,  0.1586796 ,  0.1527089 ,  0.1465361 ,
        0.1403788 ,  0.138011  ,  0.1371804 ,  0.1364972 ,  0.1361942 ,
        0.1358765 ,  0.1357066 ,  0.1355471 ,  0.1356787 ,  0.136043  ,
        0.1368099 ,  0.1388419 ,  0.140963  ,  0.1458305 ,  0.1511407 ,
        0.1568702 ,  0.1630555 ,  0.1686937 ,  0.1733716 ,  0.1778094 ,
        0.1806145 ,  0.1833667 ,  0.1848733 ,  0.1864234 ,  0.1873384 ,
        0.1882717 ,  0.1888531 ,  0.1894509 ,  0.1894602 ,  0.1893705 ,
        0.1888046 ,  0.1881665 ,  0.1871874 ,  0.1862171 ,  0.1853112 ,
        0.1847191 ,  0.1840422 ,  0.1832278 ,  0.1828932 ,  0.1838005 ,
        0.1853432 ,  0.1857599 ,  0.1864415 ,  0.1873598 ,  0.1881471 ,
        0.1881413 ,  0.1884887 ,  0.1883721 ,  0.188618  ,  0.1888586 ,
        0.1890941 ])

self["T"] = numpy.array([ 191.293,  197.395,  208.601,  222.476,  236.984,  251.119,
        263.732,  273.729,  278.307,  272.931,  260.033,  251.056,
        249.914,  249.783,  248.182,  245.715,  240.604,  236.12 ,
        232.156,  229.346,  228.7  ,  227.819,  225.634,  222.406,
        219.046,  217.149,  215.947,  214.995,  213.399,  211.067,
        208.624,  207.278,  207.261,  206.761,  205.445,  203.101,
        200.861,  199.472,  197.727,  194.454,  188.377,  183.967,
        184.771,  186.987,  189.581,  192.345,  195.181,  198.12 ,
        200.991,  203.936,  206.917,  209.915,  213.073,  216.275,
        219.384,  222.389,  225.396,  228.397,  231.28 ,  234.056,
        236.765,  239.459,  242.19 ,  244.729,  247.098,  249.348,
        251.811,  254.281,  256.741,  259.16 ,  261.458,  263.64 ,
        265.695,  267.546,  269.293,  270.931,  272.299,  273.611,
        274.9  ,  276.384,  278.033,  279.736,  281.385,  282.698,
        284.148,  285.585,  286.8  ,  287.565,  287.926,  289.075,
        290.575,  291.877,  292.997,  294.048,  295.076,  296.058,
        297.357,  298.42 ,  298.42 ,  298.42 ,  298.42 ])

self["N2O"] = numpy.array([ 0.00822998,  0.00580998,  0.00401998,  0.00268998,  0.00217999,
        0.00258998,  0.00204999,  0.00198999,  0.00443997,  0.01367993,
        0.03451984,  0.0475098 ,  0.05352979,  0.07277971,  0.09316963,
        0.1186495 ,  0.1411295 ,  0.1591194 ,  0.1762594 ,  0.1930793 ,
        0.2091193 ,  0.2257192 ,  0.2422392 ,  0.2580791 ,  0.263669  ,
        0.267799  ,  0.271769  ,  0.2786089 ,  0.2853888 ,  0.2908988 ,
        0.2960287 ,  0.2997887 ,  0.3032487 ,  0.3064886 ,  0.3095486 ,
        0.3124386 ,  0.3150987 ,  0.3174588 ,  0.3184189 ,  0.3193191 ,
        0.3201293 ,  0.3208596 ,  0.3214595 ,  0.3219195 ,  0.3222093 ,
        0.3223189 ,  0.3223183 ,  0.3223172 ,  0.3223156 ,  0.3223136 ,
        0.3223103 ,  0.3223061 ,  0.3223021 ,  0.3222991 ,  0.3222898 ,
        0.3222714 ,  0.3222502 ,  0.3222323 ,  0.3222314 ,  0.3222371 ,
        0.3222397 ,  0.3222317 ,  0.3222125 ,  0.3221246 ,  0.3219764 ,
        0.3217829 ,  0.3216364 ,  0.3216864 ,  0.3218681 ,  0.3221649 ,
        0.3222299 ,  0.3222491 ,  0.3222404 ,  0.3222238 ,  0.3222038 ,
        0.3221774 ,  0.3220558 ,  0.321963  ,  0.3218853 ,  0.3217329 ,
        0.3217416 ,  0.3218043 ,  0.3218222 ,  0.3217034 ,  0.3215343 ,
        0.3212125 ,  0.3203154 ,  0.318408  ,  0.316341  ,  0.3152476 ,
        0.3146636 ,  0.314257  ,  0.3139403 ,  0.3136383 ,  0.3133435 ,
        0.3130816 ,  0.3129294 ,  0.3123996 ,  0.312669  ,  0.3129278 ,
        0.3131763 ])

self["O3"] = numpy.array([ 0.1711385 ,  0.1953463 ,  0.2778017 ,  0.5422978 ,  0.9120012 ,
        1.222062  ,  1.485851  ,  1.72489   ,  1.985748  ,  2.522756  ,
        3.571014  ,  4.87739   ,  5.715437  ,  6.468114  ,  7.320361  ,
        8.279758  ,  9.103337  ,  9.475157  ,  9.595717  ,  9.550767  ,
        9.396948  ,  9.158749  ,  8.72029   ,  8.023022  ,  7.154064  ,
        6.349297  ,  5.3313    ,  4.373033  ,  3.896004  ,  3.714265  ,
        3.374956  ,  2.770308  ,  2.3224    ,  1.997271  ,  1.715002  ,
        1.434414  ,  1.167965  ,  0.9078004 ,  0.616747  ,  0.363854  ,
        0.1704617 ,  0.09628127,  0.09671886,  0.09525525,  0.08786801,
        0.07653445,  0.06293357,  0.0567247 ,  0.05762191,  0.05862444,
        0.05630241,  0.05353679,  0.05207701,  0.05123868,  0.05024959,
        0.04914878,  0.04834683,  0.04772341,  0.04686511,  0.04626569,
        0.04590887,  0.0456104 ,  0.0455734 ,  0.04553808,  0.04466892,
        0.04300512,  0.04411125,  0.04456712,  0.04410278,  0.04225915,
        0.04248163,  0.04256174,  0.04224746,  0.04272225,  0.04384598,
        0.04559053,  0.04702453,  0.04915959,  0.05187834,  0.0545869 ,
        0.05688464,  0.05886576,  0.06055782,  0.06280652,  0.06550554,
        0.06753595,  0.06572896,  0.05724043,  0.04812276,  0.04422846,
        0.0428242 ,  0.04482609,  0.04697952,  0.04528586,  0.03973985,
        0.03352708,  0.02959722,  0.02207713,  0.02209617,  0.02211446,
        0.02213202])

self["CH4"] = numpy.array([ 0.07629459,  0.1016217 ,  0.1204484 ,  0.1373452 ,  0.161977  ,
        0.1830208 ,  0.2257506 ,  0.2638494 ,  0.3170781 ,  0.4712984 ,
        0.7482266 ,  0.959232  ,  1.108546  ,  1.247115  ,  1.370545  ,
        1.469584  ,  1.550234  ,  1.599744  ,  1.641964  ,  1.650264  ,
        1.658184  ,  1.659334  ,  1.657244  ,  1.655244  ,  1.646994  ,
        1.638244  ,  1.629824  ,  1.627304  ,  1.626743  ,  1.635823  ,
        1.645573  ,  1.656013  ,  1.667163  ,  1.680493  ,  1.693323  ,
        1.705443  ,  1.716583  ,  1.726473  ,  1.730814  ,  1.735385  ,
        1.740196  ,  1.745258  ,  1.750577  ,  1.754267  ,  1.748846  ,
        1.743174  ,  1.734771  ,  1.724115  ,  1.714267  ,  1.712436  ,
        1.710519  ,  1.710166  ,  1.710495  ,  1.710679  ,  1.71046   ,
        1.710182  ,  1.70979   ,  1.709395  ,  1.70929   ,  1.70938   ,
        1.709754  ,  1.711011  ,  1.712249  ,  1.71514   ,  1.717916  ,
        1.720858  ,  1.724315  ,  1.728925  ,  1.734335  ,  1.740012  ,
        1.743023  ,  1.745696  ,  1.746558  ,  1.747399  ,  1.7476    ,
        1.747767  ,  1.747337  ,  1.747063  ,  1.746841  ,  1.746194  ,
        1.746091  ,  1.746152  ,  1.74552   ,  1.744057  ,  1.742203  ,
        1.739931  ,  1.734604  ,  1.723742  ,  1.712346  ,  1.706721  ,
        1.704652  ,  1.704722  ,  1.705448  ,  1.705754  ,  1.704656  ,
        1.703658  ,  1.70317   ,  1.700529  ,  1.702151  ,  1.703608  ,
        1.704961  ])

self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 0
self["ISH"] = 0
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 298.42
self["S2M"]["Q"] = 28368.3408981
self["S2M"]["O"] = 0.0221320202574
self["S2M"]["P"] = 1007.19
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"] = 298.42
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"] = 1.462
self["GAS_UNITS"] = 2
self["BE"] = 0.0
self["COSBK"] = 0.0

self["DATE"] = numpy.array([2007,    2,    1])

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