<filename>source/rttov_test/profile-datasets-py/div83/041.py<gh_stars>0
"""
    Profile ../profile-datasets-py/div83/041.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/div83/041.py"
self["Q"] = numpy.array([  2.61013300e+00,   3.41939800e+00,   4.91140600e+00,
         6.15825200e+00,   6.39502900e+00,   6.32777000e+00,
         6.13413200e+00,   5.89438500e+00,   5.64976800e+00,
         5.30117200e+00,   4.82462700e+00,   4.39238100e+00,
         4.10790300e+00,   3.92453500e+00,   3.80278600e+00,
         3.71251600e+00,   3.65541700e+00,   3.62046700e+00,
         3.60486700e+00,   3.60329700e+00,   3.60602700e+00,
         3.60906700e+00,   3.62342700e+00,   3.64466700e+00,
         3.67091700e+00,   3.70368600e+00,   3.78093600e+00,
         3.88217500e+00,   3.96937400e+00,   4.03124400e+00,
         4.07885300e+00,   4.13954300e+00,   4.18656200e+00,
         4.20584200e+00,   4.19269200e+00,   4.16303300e+00,
         4.14379300e+00,   4.16692300e+00,   4.21365200e+00,
         3.94984400e+00,   2.38639400e+00,   2.19508500e+00,
         2.34548400e+00,   2.24133500e+00,   2.81129200e+00,
         4.16678300e+00,   6.36426900e+00,   9.64238700e+00,
         1.48175800e+01,   2.29005800e+01,   3.53166500e+01,
         5.30892800e+01,   7.31524500e+01,   5.87676500e+01,
         3.04255700e+01,   2.82110000e+01,   3.73084100e+01,
         4.68138100e+01,   5.43173500e+01,   6.29576400e+01,
         7.44126600e+01,   8.89146900e+01,   1.01777600e+02,
         1.07462500e+02,   1.19604700e+02,   1.47760200e+02,
         2.16016300e+02,   3.15667300e+02,   3.83068200e+02,
         3.91572600e+02,   3.49394900e+02,   4.46838200e+02,
         8.76736700e+02,   3.13430500e+03,   5.70716100e+03,
         8.25429900e+03,   9.60944300e+03,   9.83131600e+03,
         9.38324100e+03,   8.46413700e+03,   8.52457700e+03,
         9.10525300e+03,   1.02132100e+04,   1.21078000e+04,
         1.43109200e+04,   1.63944400e+04,   1.80872300e+04,
         1.96353300e+04,   2.15446100e+04,   2.36517400e+04,
         2.53679200e+04,   2.65050500e+04,   2.73491900e+04,
         2.78817100e+04,   2.83741900e+04,   2.94279400e+04,
         2.99118000e+04,   3.19163600e+04,   3.10459700e+04,
         3.02103100e+04,   2.94078700e+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([ 371.77  ,  371.7717,  371.7762,  371.7837,  371.7966,  371.8146,
        371.8557,  371.9358,  372.0959,  372.299 ,  372.4882,  372.5994,
        372.6435,  372.6925,  372.8406,  373.0286,  373.2636,  373.5766,
        373.8817,  374.1087,  374.1727,  374.1516,  374.0936,  374.0336,
        373.9776,  373.9216,  373.9646,  374.0315,  374.2705,  374.5295,
        374.8485,  375.1904,  375.3744,  375.5624,  375.7464,  375.9344,
        376.1184,  376.2794,  376.4494,  376.8225,  377.2371,  377.6062,
        377.9201,  378.2412,  378.2559,  378.2704,  378.2976,  378.3324,
        378.3674,  378.3903,  378.4126,  378.4409,  378.4743,  378.5168,
        378.5535,  378.5813,  378.5929,  378.6043,  378.6384,  378.6922,
        378.7648,  378.8973,  379.0344,  379.1553,  379.2756,  379.3459,
        379.381 ,  379.4152,  379.4756,  379.5553,  379.6413,  379.6703,
        379.511 ,  378.6584,  377.6115,  376.5708,  375.98  ,  375.8165,
        375.9777,  376.3196,  376.2758,  376.0297,  375.5647,  374.7974,
        373.9083,  373.0659,  372.3767,  371.7611,  371.0381,  370.2108,
        369.4655,  368.8602,  368.3691,  368.0829,  367.874 ,  367.4566,
        367.2589,  366.4894,  366.8121,  367.1265,  367.4303])

self["CO"] = numpy.array([ 0.2708693 ,  0.2599841 ,  0.2394188 ,  0.2076697 ,  0.1663129 ,
        0.1204112 ,  0.1014724 ,  0.1288922 ,  0.1362472 ,  0.1308003 ,
        0.1175064 ,  0.1036035 ,  0.08947513,  0.0767096 ,  0.07042573,
        0.06634675,  0.06315247,  0.06010718,  0.0568321 ,  0.05327631,
        0.04974012,  0.04634853,  0.04297154,  0.03956936,  0.03651587,
        0.03366848,  0.03222458,  0.03097408,  0.03113298,  0.03138317,
        0.03262407,  0.03400716,  0.03607635,  0.03844374,  0.04200112,
        0.04658341,  0.05188748,  0.05791786,  0.06504833,  0.07953899,
        0.09912226,  0.1200887 ,  0.1402577 ,  0.1645156 ,  0.1659745 ,
        0.1675133 ,  0.1694299 ,  0.1716773 ,  0.1740324 ,  0.176388  ,
        0.1788717 ,  0.1819873 ,  0.1854944 ,  0.1886329 ,  0.1905642 ,
        0.1925796 ,  0.1927128 ,  0.192677  ,  0.1924715 ,  0.1921289 ,
        0.1916767 ,  0.190903  ,  0.1901106 ,  0.1890057 ,  0.1878595 ,
        0.1866504 ,  0.1853919 ,  0.1845227 ,  0.1841624 ,  0.1840569 ,
        0.1847184 ,  0.1853971 ,  0.1862685 ,  0.1868236 ,  0.1873645 ,
        0.1879358 ,  0.188299  ,  0.1888717 ,  0.1894218 ,  0.1900863 ,
        0.1907896 ,  0.1915172 ,  0.1924987 ,  0.1937583 ,  0.1954079 ,
        0.1978936 ,  0.2006509 ,  0.2034463 ,  0.2048729 ,  0.2056541 ,
        0.2065518 ,  0.2091018 ,  0.2115049 ,  0.2133722 ,  0.2154502 ,
        0.2169267 ,  0.2171475 ,  0.2170153 ,  0.2179517 ,  0.2188941 ,
        0.219844  ])

self["T"] = numpy.array([ 189.439,  194.802,  205.228,  220.599,  237.389,  251.664,
        261.37 ,  266.602,  269.388,  270.626,  269.28 ,  261.73 ,
        256.91 ,  253.697,  250.598,  246.26 ,  242.745,  239.429,
        236.313,  233.515,  231.186,  228.987,  226.786,  224.676,
        222.507,  219.908,  218.156,  216.081,  214.211,  212.735,
        211.657,  211.032,  210.612,  209.001,  206.476,  203.623,
        200.747,  197.844,  194.824,  191.182,  186.768,  186.718,
        187.685,  188.051,  189.743,  192.269,  195.092,  198.113,
        201.313,  204.648,  208.069,  211.411,  214.378,  217.215,
        220.156,  223.192,  226.203,  229.177,  232.077,  234.885,
        237.609,  240.272,  242.884,  245.48 ,  248.015,  250.461,
        252.743,  254.933,  257.124,  259.346,  261.579,  263.876,
        266.103,  267.307,  268.388,  269.635,  272.149,  274.483,
        276.662,  278.591,  280.056,  281.497,  282.996,  284.459,
        285.749,  286.885,  287.951,  288.93 ,  289.699,  290.459,
        291.634,  292.848,  293.852,  294.782,  296.05 ,  297.431,
        299.77 ,  300.945,  300.945,  300.945,  300.945])

self["N2O"] = numpy.array([ 0.01511996,  0.01053996,  0.00713996,  0.00462997,  0.00386997,
        0.00323998,  0.00270998,  0.00320998,  0.00697996,  0.01229993,
        0.0206199 ,  0.03030987,  0.04068983,  0.05344979,  0.06658975,
        0.0821397 ,  0.09836964,  0.1170296 ,  0.1351295 ,  0.1551094 ,
        0.1741494 ,  0.1924793 ,  0.2100992 ,  0.2269792 ,  0.2444091 ,
        0.261319  ,  0.277589  ,  0.2856389 ,  0.2905188 ,  0.2947388 ,
        0.2986688 ,  0.3019488 ,  0.3050387 ,  0.3079287 ,  0.3106687 ,
        0.3131987 ,  0.3154487 ,  0.3163687 ,  0.3172287 ,  0.3180087 ,
        0.3186992 ,  0.3192793 ,  0.3197293 ,  0.3200093 ,  0.3201091 ,
        0.3201087 ,  0.320108  ,  0.3201069 ,  0.3201053 ,  0.3201027 ,
        0.3200987 ,  0.320093  ,  0.3200866 ,  0.3200912 ,  0.3201003 ,
        0.320101  ,  0.3200981 ,  0.320095  ,  0.3200926 ,  0.3200898 ,
        0.3200862 ,  0.3200815 ,  0.3200774 ,  0.3200756 ,  0.3200717 ,
        0.3200627 ,  0.3200409 ,  0.320009  ,  0.3199874 ,  0.3199847 ,
        0.3199982 ,  0.319967  ,  0.3198293 ,  0.3191067 ,  0.3182831 ,
        0.3174677 ,  0.3170339 ,  0.3169629 ,  0.3171063 ,  0.3174005 ,
        0.3173812 ,  0.3171953 ,  0.3168406 ,  0.3162342 ,  0.3155289 ,
        0.314862  ,  0.3143201 ,  0.3138245 ,  0.3132134 ,  0.3125388 ,
        0.3119895 ,  0.3116255 ,  0.3113553 ,  0.3111848 ,  0.3110271 ,
        0.3106898 ,  0.3105349 ,  0.3098933 ,  0.3101719 ,  0.3104394 ,
        0.3106962 ])

self["O3"] = numpy.array([  0.1342466 ,   0.1604275 ,   0.2554057 ,   0.5380157 ,
         0.9044542 ,   1.241542  ,   1.5735    ,   1.892379  ,
         2.177888  ,   2.567586  ,   3.106415  ,   3.982953  ,
         4.96196   ,   6.025976  ,   7.192213  ,   8.469549  ,
         9.496335  ,  10.11816   ,  10.39416   ,  10.39316   ,
        10.23236   ,   9.783085  ,   9.195127  ,   8.462609  ,
         7.538982  ,   6.356656  ,   5.427389  ,   4.706482  ,
         4.092994  ,   3.540426  ,   3.035898  ,   2.587109  ,
         2.205901  ,   1.819712  ,   1.438044  ,   1.073786  ,
         0.7908067 ,   0.6178254 ,   0.4904259 ,   0.3834885 ,
         0.2736073 ,   0.1913926 ,   0.1424217 ,   0.09152849,
         0.05741414,   0.05012749,   0.05009508,   0.05030411,
         0.05085995,   0.05157652,   0.05161848,   0.05111859,
         0.0533668 ,   0.05995578,   0.06591809,   0.06674752,
         0.06609623,   0.06651839,   0.06768182,   0.06851329,
         0.06865099,   0.06812504,   0.0678316 ,   0.06852104,
         0.06925532,   0.0696729 ,   0.069426  ,   0.06774121,
         0.06552929,   0.06309628,   0.06277076,   0.06231374,
         0.06198401,   0.0635473 ,   0.0586941 ,   0.05082469,
         0.0472031 ,   0.04838855,   0.05161401,   0.05437325,
         0.05344162,   0.05157459,   0.04961633,   0.04856685,
         0.04784012,   0.0465813 ,   0.04471758,   0.04252332,
         0.04016824,   0.03742382,   0.03479797,   0.03466431,
         0.03780898,   0.03871655,   0.03727973,   0.03272274,
         0.02558297,   0.0183479 ,   0.01836439,   0.01838023,   0.01839544])

self["CH4"] = numpy.array([ 0.2241084,  0.2128123,  0.204416 ,  0.1953038,  0.2076177,
        0.2741463,  0.3509598,  0.4220575,  0.4985662,  0.5891919,
        0.7331815,  0.909084 ,  1.103165 ,  1.248355 ,  1.380315 ,
        1.494034 ,  1.586434 ,  1.642654 ,  1.691284 ,  1.706064 ,
        1.720154 ,  1.721494 ,  1.716724 ,  1.712154 ,  1.697684 ,
        1.682464 ,  1.667824 ,  1.661064 ,  1.656983 ,  1.664893 ,
        1.673383 ,  1.682473 ,  1.692173 ,  1.704903 ,  1.717153 ,
        1.728723 ,  1.739373 ,  1.748813 ,  1.753963 ,  1.759393 ,
        1.765106 ,  1.771106 ,  1.777416 ,  1.786766 ,  1.785885 ,
        1.784953 ,  1.784819 ,  1.785303 ,  1.785854 ,  1.786729 ,
        1.787627 ,  1.788295 ,  1.788879 ,  1.789145 ,  1.788486 ,
        1.78774  ,  1.787203 ,  1.786666 ,  1.787483 ,  1.789387 ,
        1.791887 ,  1.79618  ,  1.800607 ,  1.803076 ,  1.805464 ,
        1.805313 ,  1.8038   ,  1.802271 ,  1.80088  ,  1.800025 ,
        1.800821 ,  1.801455 ,  1.802318 ,  1.799931 ,  1.797244 ,
        1.794663 ,  1.793439 ,  1.794245 ,  1.794552 ,  1.795602 ,
        1.794878 ,  1.793311 ,  1.791168 ,  1.787611 ,  1.783526 ,
        1.780306 ,  1.778293 ,  1.777617 ,  1.776552 ,  1.77713  ,
        1.781705 ,  1.790481 ,  1.793656 ,  1.795221 ,  1.79503  ,
        1.793685 ,  1.793266 ,  1.789909 ,  1.791732 ,  1.793354 ,
        1.794838 ])

self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 0
self["ISH"] = 0
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 300.945
self["S2M"]["Q"] = 29407.8737733
self["S2M"]["O"] = 0.0183954384499
self["S2M"]["P"] = 999.35522
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"] = 300.945
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"] = -15.628
self["GAS_UNITS"] = 2
self["BE"] = 0.0
self["COSBK"] = 0.0

self["DATE"] = numpy.array([2007,    3,    1])

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

<filename>source/rttov_test/profile-datasets-py/div83/041.py<gh_stars>0
"""
    Profile ../profile-datasets-py/div83/041.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/div83/041.py"
self["Q"] = numpy.array([  2.61013300e+00,   3.41939800e+00,   4.91140600e+00,
         6.15825200e+00,   6.39502900e+00,   6.32777000e+00,
         6.13413200e+00,   5.89438500e+00,   5.64976800e+00,
         5.30117200e+00,   4.82462700e+00,   4.39238100e+00,
         4.10790300e+00,   3.92453500e+00,   3.80278600e+00,
         3.71251600e+00,   3.65541700e+00,   3.62046700e+00,
         3.60486700e+00,   3.60329700e+00,   3.60602700e+00,
         3.60906700e+00,   3.62342700e+00,   3.64466700e+00,
         3.67091700e+00,   3.70368600e+00,   3.78093600e+00,
         3.88217500e+00,   3.96937400e+00,   4.03124400e+00,
         4.07885300e+00,   4.13954300e+00,   4.18656200e+00,
         4.20584200e+00,   4.19269200e+00,   4.16303300e+00,
         4.14379300e+00,   4.16692300e+00,   4.21365200e+00,
         3.94984400e+00,   2.38639400e+00,   2.19508500e+00,
         2.34548400e+00,   2.24133500e+00,   2.81129200e+00,
         4.16678300e+00,   6.36426900e+00,   9.64238700e+00,
         1.48175800e+01,   2.29005800e+01,   3.53166500e+01,
         5.30892800e+01,   7.31524500e+01,   5.87676500e+01,
         3.04255700e+01,   2.82110000e+01,   3.73084100e+01,
         4.68138100e+01,   5.43173500e+01,   6.29576400e+01,
         7.44126600e+01,   8.89146900e+01,   1.01777600e+02,
         1.07462500e+02,   1.19604700e+02,   1.47760200e+02,
         2.16016300e+02,   3.15667300e+02,   3.83068200e+02,
         3.91572600e+02,   3.49394900e+02,   4.46838200e+02,
         8.76736700e+02,   3.13430500e+03,   5.70716100e+03,
         8.25429900e+03,   9.60944300e+03,   9.83131600e+03,
         9.38324100e+03,   8.46413700e+03,   8.52457700e+03,
         9.10525300e+03,   1.02132100e+04,   1.21078000e+04,
         1.43109200e+04,   1.63944400e+04,   1.80872300e+04,
         1.96353300e+04,   2.15446100e+04,   2.36517400e+04,
         2.53679200e+04,   2.65050500e+04,   2.73491900e+04,
         2.78817100e+04,   2.83741900e+04,   2.94279400e+04,
         2.99118000e+04,   3.19163600e+04,   3.10459700e+04,
         3.02103100e+04,   2.94078700e+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([ 371.77  ,  371.7717,  371.7762,  371.7837,  371.7966,  371.8146,
        371.8557,  371.9358,  372.0959,  372.299 ,  372.4882,  372.5994,
        372.6435,  372.6925,  372.8406,  373.0286,  373.2636,  373.5766,
        373.8817,  374.1087,  374.1727,  374.1516,  374.0936,  374.0336,
        373.9776,  373.9216,  373.9646,  374.0315,  374.2705,  374.5295,
        374.8485,  375.1904,  375.3744,  375.5624,  375.7464,  375.9344,
        376.1184,  376.2794,  376.4494,  376.8225,  377.2371,  377.6062,
        377.9201,  378.2412,  378.2559,  378.2704,  378.2976,  378.3324,
        378.3674,  378.3903,  378.4126,  378.4409,  378.4743,  378.5168,
        378.5535,  378.5813,  378.5929,  378.6043,  378.6384,  378.6922,
        378.7648,  378.8973,  379.0344,  379.1553,  379.2756,  379.3459,
        379.381 ,  379.4152,  379.4756,  379.5553,  379.6413,  379.6703,
        379.511 ,  378.6584,  377.6115,  376.5708,  375.98  ,  375.8165,
        375.9777,  376.3196,  376.2758,  376.0297,  375.5647,  374.7974,
        373.9083,  373.0659,  372.3767,  371.7611,  371.0381,  370.2108,
        369.4655,  368.8602,  368.3691,  368.0829,  367.874 ,  367.4566,
        367.2589,  366.4894,  366.8121,  367.1265,  367.4303])

self["CO"] = numpy.array([ 0.2708693 ,  0.2599841 ,  0.2394188 ,  0.2076697 ,  0.1663129 ,
        0.1204112 ,  0.1014724 ,  0.1288922 ,  0.1362472 ,  0.1308003 ,
        0.1175064 ,  0.1036035 ,  0.08947513,  0.0767096 ,  0.07042573,
        0.06634675,  0.06315247,  0.06010718,  0.0568321 ,  0.05327631,
        0.04974012,  0.04634853,  0.04297154,  0.03956936,  0.03651587,
        0.03366848,  0.03222458,  0.03097408,  0.03113298,  0.03138317,
        0.03262407,  0.03400716,  0.03607635,  0.03844374,  0.04200112,
        0.04658341,  0.05188748,  0.05791786,  0.06504833,  0.07953899,
        0.09912226,  0.1200887 ,  0.1402577 ,  0.1645156 ,  0.1659745 ,
        0.1675133 ,  0.1694299 ,  0.1716773 ,  0.1740324 ,  0.176388  ,
        0.1788717 ,  0.1819873 ,  0.1854944 ,  0.1886329 ,  0.1905642 ,
        0.1925796 ,  0.1927128 ,  0.192677  ,  0.1924715 ,  0.1921289 ,
        0.1916767 ,  0.190903  ,  0.1901106 ,  0.1890057 ,  0.1878595 ,
        0.1866504 ,  0.1853919 ,  0.1845227 ,  0.1841624 ,  0.1840569 ,
        0.1847184 ,  0.1853971 ,  0.1862685 ,  0.1868236 ,  0.1873645 ,
        0.1879358 ,  0.188299  ,  0.1888717 ,  0.1894218 ,  0.1900863 ,
        0.1907896 ,  0.1915172 ,  0.1924987 ,  0.1937583 ,  0.1954079 ,
        0.1978936 ,  0.2006509 ,  0.2034463 ,  0.2048729 ,  0.2056541 ,
        0.2065518 ,  0.2091018 ,  0.2115049 ,  0.2133722 ,  0.2154502 ,
        0.2169267 ,  0.2171475 ,  0.2170153 ,  0.2179517 ,  0.2188941 ,
        0.219844  ])

self["T"] = numpy.array([ 189.439,  194.802,  205.228,  220.599,  237.389,  251.664,
        261.37 ,  266.602,  269.388,  270.626,  269.28 ,  261.73 ,
        256.91 ,  253.697,  250.598,  246.26 ,  242.745,  239.429,
        236.313,  233.515,  231.186,  228.987,  226.786,  224.676,
        222.507,  219.908,  218.156,  216.081,  214.211,  212.735,
        211.657,  211.032,  210.612,  209.001,  206.476,  203.623,
        200.747,  197.844,  194.824,  191.182,  186.768,  186.718,
        187.685,  188.051,  189.743,  192.269,  195.092,  198.113,
        201.313,  204.648,  208.069,  211.411,  214.378,  217.215,
        220.156,  223.192,  226.203,  229.177,  232.077,  234.885,
        237.609,  240.272,  242.884,  245.48 ,  248.015,  250.461,
        252.743,  254.933,  257.124,  259.346,  261.579,  263.876,
        266.103,  267.307,  268.388,  269.635,  272.149,  274.483,
        276.662,  278.591,  280.056,  281.497,  282.996,  284.459,
        285.749,  286.885,  287.951,  288.93 ,  289.699,  290.459,
        291.634,  292.848,  293.852,  294.782,  296.05 ,  297.431,
        299.77 ,  300.945,  300.945,  300.945,  300.945])

self["N2O"] = numpy.array([ 0.01511996,  0.01053996,  0.00713996,  0.00462997,  0.00386997,
        0.00323998,  0.00270998,  0.00320998,  0.00697996,  0.01229993,
        0.0206199 ,  0.03030987,  0.04068983,  0.05344979,  0.06658975,
        0.0821397 ,  0.09836964,  0.1170296 ,  0.1351295 ,  0.1551094 ,
        0.1741494 ,  0.1924793 ,  0.2100992 ,  0.2269792 ,  0.2444091 ,
        0.261319  ,  0.277589  ,  0.2856389 ,  0.2905188 ,  0.2947388 ,
        0.2986688 ,  0.3019488 ,  0.3050387 ,  0.3079287 ,  0.3106687 ,
        0.3131987 ,  0.3154487 ,  0.3163687 ,  0.3172287 ,  0.3180087 ,
        0.3186992 ,  0.3192793 ,  0.3197293 ,  0.3200093 ,  0.3201091 ,
        0.3201087 ,  0.320108  ,  0.3201069 ,  0.3201053 ,  0.3201027 ,
        0.3200987 ,  0.320093  ,  0.3200866 ,  0.3200912 ,  0.3201003 ,
        0.320101  ,  0.3200981 ,  0.320095  ,  0.3200926 ,  0.3200898 ,
        0.3200862 ,  0.3200815 ,  0.3200774 ,  0.3200756 ,  0.3200717 ,
        0.3200627 ,  0.3200409 ,  0.320009  ,  0.3199874 ,  0.3199847 ,
        0.3199982 ,  0.319967  ,  0.3198293 ,  0.3191067 ,  0.3182831 ,
        0.3174677 ,  0.3170339 ,  0.3169629 ,  0.3171063 ,  0.3174005 ,
        0.3173812 ,  0.3171953 ,  0.3168406 ,  0.3162342 ,  0.3155289 ,
        0.314862  ,  0.3143201 ,  0.3138245 ,  0.3132134 ,  0.3125388 ,
        0.3119895 ,  0.3116255 ,  0.3113553 ,  0.3111848 ,  0.3110271 ,
        0.3106898 ,  0.3105349 ,  0.3098933 ,  0.3101719 ,  0.3104394 ,
        0.3106962 ])

self["O3"] = numpy.array([  0.1342466 ,   0.1604275 ,   0.2554057 ,   0.5380157 ,
         0.9044542 ,   1.241542  ,   1.5735    ,   1.892379  ,
         2.177888  ,   2.567586  ,   3.106415  ,   3.982953  ,
         4.96196   ,   6.025976  ,   7.192213  ,   8.469549  ,
         9.496335  ,  10.11816   ,  10.39416   ,  10.39316   ,
        10.23236   ,   9.783085  ,   9.195127  ,   8.462609  ,
         7.538982  ,   6.356656  ,   5.427389  ,   4.706482  ,
         4.092994  ,   3.540426  ,   3.035898  ,   2.587109  ,
         2.205901  ,   1.819712  ,   1.438044  ,   1.073786  ,
         0.7908067 ,   0.6178254 ,   0.4904259 ,   0.3834885 ,
         0.2736073 ,   0.1913926 ,   0.1424217 ,   0.09152849,
         0.05741414,   0.05012749,   0.05009508,   0.05030411,
         0.05085995,   0.05157652,   0.05161848,   0.05111859,
         0.0533668 ,   0.05995578,   0.06591809,   0.06674752,
         0.06609623,   0.06651839,   0.06768182,   0.06851329,
         0.06865099,   0.06812504,   0.0678316 ,   0.06852104,
         0.06925532,   0.0696729 ,   0.069426  ,   0.06774121,
         0.06552929,   0.06309628,   0.06277076,   0.06231374,
         0.06198401,   0.0635473 ,   0.0586941 ,   0.05082469,
         0.0472031 ,   0.04838855,   0.05161401,   0.05437325,
         0.05344162,   0.05157459,   0.04961633,   0.04856685,
         0.04784012,   0.0465813 ,   0.04471758,   0.04252332,
         0.04016824,   0.03742382,   0.03479797,   0.03466431,
         0.03780898,   0.03871655,   0.03727973,   0.03272274,
         0.02558297,   0.0183479 ,   0.01836439,   0.01838023,   0.01839544])

self["CH4"] = numpy.array([ 0.2241084,  0.2128123,  0.204416 ,  0.1953038,  0.2076177,
        0.2741463,  0.3509598,  0.4220575,  0.4985662,  0.5891919,
        0.7331815,  0.909084 ,  1.103165 ,  1.248355 ,  1.380315 ,
        1.494034 ,  1.586434 ,  1.642654 ,  1.691284 ,  1.706064 ,
        1.720154 ,  1.721494 ,  1.716724 ,  1.712154 ,  1.697684 ,
        1.682464 ,  1.667824 ,  1.661064 ,  1.656983 ,  1.664893 ,
        1.673383 ,  1.682473 ,  1.692173 ,  1.704903 ,  1.717153 ,
        1.728723 ,  1.739373 ,  1.748813 ,  1.753963 ,  1.759393 ,
        1.765106 ,  1.771106 ,  1.777416 ,  1.786766 ,  1.785885 ,
        1.784953 ,  1.784819 ,  1.785303 ,  1.785854 ,  1.786729 ,
        1.787627 ,  1.788295 ,  1.788879 ,  1.789145 ,  1.788486 ,
        1.78774  ,  1.787203 ,  1.786666 ,  1.787483 ,  1.789387 ,
        1.791887 ,  1.79618  ,  1.800607 ,  1.803076 ,  1.805464 ,
        1.805313 ,  1.8038   ,  1.802271 ,  1.80088  ,  1.800025 ,
        1.800821 ,  1.801455 ,  1.802318 ,  1.799931 ,  1.797244 ,
        1.794663 ,  1.793439 ,  1.794245 ,  1.794552 ,  1.795602 ,
        1.794878 ,  1.793311 ,  1.791168 ,  1.787611 ,  1.783526 ,
        1.780306 ,  1.778293 ,  1.777617 ,  1.776552 ,  1.77713  ,
        1.781705 ,  1.790481 ,  1.793656 ,  1.795221 ,  1.79503  ,
        1.793685 ,  1.793266 ,  1.789909 ,  1.791732 ,  1.793354 ,
        1.794838 ])

self["CTP"] = 500.0
self["CFRACTION"] = 0.0
self["IDG"] = 0
self["ISH"] = 0
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 300.945
self["S2M"]["Q"] = 29407.8737733
self["S2M"]["O"] = 0.0183954384499
self["S2M"]["P"] = 999.35522
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"] = 300.945
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"] = -15.628
self["GAS_UNITS"] = 2
self["BE"] = 0.0
self["COSBK"] = 0.0

self["DATE"] = numpy.array([2007,    3,    1])

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

Profile ../profile-datasets-py/div83/041.py         file automaticaly created by prof_gen.py script