"""
    Profile ../profile-datasets-py/standard101lev_nogas_ppmvdry/003.py
        file automaticaly created by prof_gen.py script
""" 

self["ID"] = "../profile-datasets-py/standard101lev_nogas_ppmvdry/003.py"
self["Q"] = numpy.array([  1.40574300e+00,   2.40715300e+00,   3.13834000e+00,
         3.78974900e+00,   4.26818300e+00,   4.59454500e+00,
         4.82492500e+00,   4.90287600e+00,   4.95694900e+00,
         5.00000000e+00,   5.00000000e+00,   5.00000000e+00,
         4.97372600e+00,   4.94073400e+00,   4.91063500e+00,
         4.88290200e+00,   4.85706500e+00,   4.83329100e+00,
         4.81099900e+00,   4.78997000e+00,   4.77010000e+00,
         4.75113300e+00,   4.73342000e+00,   4.71647600e+00,
         4.70021800e+00,   4.68458000e+00,   4.66953000e+00,
         4.65503000e+00,   4.62779800e+00,   4.59418200e+00,
         4.56104800e+00,   4.54172300e+00,   4.52924200e+00,
         4.51152500e+00,   4.50000000e+00,   4.50000000e+00,
         4.50000000e+00,   4.50000000e+00,   4.50000000e+00,
         4.50000000e+00,   4.50000000e+00,   4.50000000e+00,
         4.52487100e+00,   4.57024100e+00,   4.61450500e+00,
         4.65769000e+00,   4.69987800e+00,   4.74111700e+00,
         4.78143500e+00,   4.84190200e+00,   4.91936800e+00,
         4.99519000e+00,   5.34881800e+00,   5.71413200e+00,
         6.28787500e+00,   7.68932900e+00,   9.06323600e+00,
         1.20186600e+01,   1.85168800e+01,   2.48926100e+01,
         3.16870600e+01,   3.99590500e+01,   4.80810200e+01,
         5.64773100e+01,   7.25873900e+01,   8.84158500e+01,
         1.03970600e+02,   1.35993900e+02,   1.72783600e+02,
         2.08958200e+02,   2.60622900e+02,   3.40895800e+02,
         4.19867300e+02,   4.97572500e+02,   5.83955300e+02,
         6.70927100e+02,   7.56543200e+02,   8.48999400e+02,
         9.72479900e+02,   1.09408800e+03,   1.21386700e+03,
         1.37412000e+03,   1.58509700e+03,   1.79298000e+03,
         1.99783600e+03,   2.18657500e+03,   2.36214200e+03,
         2.53521100e+03,   2.70583500e+03,   2.87099600e+03,
         3.03096700e+03,   3.18872400e+03,   3.34431300e+03,
         3.51134900e+03,   3.70966200e+03,   3.90529800e+03,
         4.09831400e+03,   4.28875700e+03,   4.47667600e+03,
         4.66212100e+03,   4.84513400e+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,   3.56505000e+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,   1.03017200e+02,
         1.10236600e+02,   1.17777500e+02,   1.25645600e+02,
         1.33846200e+02,   1.42384800e+02,   1.51266400e+02,
         1.60495900e+02,   1.70078400e+02,   1.80018300e+02,
         1.90320300e+02,   2.00988700e+02,   2.12027700e+02,
         2.23441500e+02,   2.35233800e+02,   2.47408500e+02,
         2.59969100e+02,   2.72919100e+02,   2.86261700e+02,
         3.00000000e+02,   3.14136900e+02,   3.28675300e+02,
         3.43617600e+02,   3.58966500e+02,   3.74724100e+02,
         3.90892600e+02,   4.07473800e+02,   4.24469800e+02,
         4.41881900e+02,   4.59711800e+02,   4.77960700e+02,
         4.96629800e+02,   5.15720000e+02,   5.35232200e+02,
         5.55166900e+02,   5.75524800e+02,   5.96306200e+02,
         6.17511200e+02,   6.39139800e+02,   6.61192000e+02,
         6.83667300e+02,   7.06565400e+02,   7.29885700e+02,
         7.53627500e+02,   7.77789700e+02,   8.02371400e+02,
         8.27371300e+02,   8.52788000e+02,   8.78620100e+02,
         9.04865900e+02,   9.31523600e+02,   9.58591100e+02,
         9.86066600e+02,   1.01394800e+03,   1.04223200e+03,
         1.07091700e+03,   1.10000000e+03])

self["T"] = numpy.array([ 200.9644,  216.091 ,  227.9248,  237.8363,  246.21  ,  253.4473,
        259.8979,  263.2967,  265.6166,  264.3313,  258.3714,  252.2958,
        246.8064,  241.773 ,  237.1378,  232.9011,  228.9739,  225.3936,
        222.0498,  219.7982,  218.606 ,  217.468 ,  216.7699,  216.1261,
        215.5083,  215.4075,  215.3172,  215.2302,  215.2   ,  215.2   ,
        215.2   ,  215.2   ,  215.2   ,  215.2   ,  215.2   ,  215.2   ,
        215.2   ,  215.2   ,  215.3626,  215.6105,  215.8539,  216.092 ,
        216.3244,  216.5512,  216.7725,  216.9885,  217.1994,  217.4056,
        217.6072,  217.8048,  217.9984,  218.188 ,  218.3744,  218.5571,
        218.736 ,  218.9112,  219.0829,  219.2515,  219.4173,  219.5799,
        220.1805,  222.085 ,  223.955 ,  225.7942,  227.6517,  229.4766,
        231.27  ,  233.0647,  234.8391,  236.5838,  238.3152,  240.0464,
        241.7496,  243.4255,  245.1083,  246.7713,  248.4083,  250.0277,
        251.6528,  253.2532,  254.8296,  256.3989,  257.9656,  259.5093,
        261.0305,  262.1929,  263.0707,  263.9361,  264.7892,  265.6362,
        266.4769,  267.3059,  268.1236,  268.9329,  269.7381,  270.5324,
        271.3161,  272.0894,  272.8524,  273.6054,  274.3485])

self["CTP"] = 500.0
self["CFRACTION"] = 0.5
self["IDG"] = 3
self["ISH"] = 2
self["ELEVATION"] = 0.0
self["S2M"]["T"] = 272.2
self["S2M"]["Q"] = 4416.0
self["S2M"]["O"] = 0.02778
self["S2M"]["P"] = 1100.0
self["S2M"]["U"] = -3.0
self["S2M"]["V"] = -1.0
self["S2M"]["WFETC"] = 200000.0
self["SKIN"]["SURFTYPE"] = 1
self["SKIN"]["WATERTYPE"] = 1
self["SKIN"]["T"] = 272.2
self["SKIN"]["SALINITY"] = 37.0
self["SKIN"]["FOAM_FRACTION"] = 1.0
self["SKIN"]["FASTEM"] = numpy.array([  3. ,   5. ,  15. ,   0.1,   0.3])

self["ZENANGLE"] = 45.0
self["AZANGLE"] = 170.0
self["SUNZENANGLE"] = 35.0
self["SUNAZANGLE"] = 179.0
self["LATITUDE"] = 45.0
self["GAS_UNITS"] = 0
self["BE"] = 0.7
self["COSBK"] = 0.5

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

self["TIME"] = numpy.array([12, 30, 10])
