Header line: comprehensive global apriori data file, created Thu Mar 14 10:20:40 2002 Number of standard pressure levels 35 Pressure levels (mb), top-down 2.00000e-01 1.00000e+00 3.00000e+00 7.00000e+00 1.00000e+01 2.00000e+01 3.00000e+01 4.00000e+01 5.00000e+01 7.00000e+01 1.00000e+02 1.50000e+02 2.00000e+02 2.50000e+02 3.00000e+02 3.50000e+02 4.00000e+02 4.50000e+02 5.00000e+02 5.50000e+02 6.00000e+02 6.50000e+02 7.00000e+02 7.50000e+02 8.00000e+02 8.50000e+02 8.75000e+02 9.00000e+02 9.25000e+02 9.50000e+02 9.75000e+02 1.00000e+03 1.02000e+03 1.04000e+03 1.06000e+03 co mixing ratio mean profile = 2.40438e-08 2.32808e-08 2.18376e-08 1.97465e-08 1.87202e-08 1.74638e-08 1.69656e-08 2.07028e-08 2.58570e-08 3.42408e-08 4.61809e-08 5.96929e-08 7.03146e-08 7.69031e-08 8.13165e-08 8.42335e-08 8.48821e-08 8.56855e-08 8.59894e-08 8.69512e-08 8.91668e-08 9.15986e-08 9.45521e-08 9.79746e-08 1.03426e-07 1.04715e-07 1.06162e-07 1.07314e-07 1.09840e-07 1.12931e-07 1.16593e-07 1.19686e-07 1.20610e-07 1.20610e-07 1.20610e-07 ch4 mixing ratio mean profile = 5.13300e-07 5.46162e-07 6.28412e-07 8.40253e-07 9.70711e-07 1.22838e-06 1.36382e-06 1.43975e-06 1.48782e-06 1.55944e-06 1.65694e-06 1.70474e-06 1.71819e-06 1.72173e-06 1.72133e-06 1.72050e-06 1.71895e-06 1.71722e-06 1.71598e-06 1.71596e-06 1.71619e-06 1.71617e-06 1.71694e-06 1.71935e-06 1.72218e-06 1.72432e-06 1.72525e-06 1.72634e-06 1.72817e-06 1.72985e-06 1.73273e-06 1.73626e-06 1.73700e-06 1.73701e-06 1.73701e-06 co covariance matrix = row 1 1.34183e-15 row 2 1.17770e-15 1.03407e-15 row 3 8.78747e-16 7.72342e-16 5.78265e-16 row 4 4.79952e-16 4.22845e-16 3.18482e-16 1.78092e-16 row 5 2.86692e-16 2.53419e-16 1.92449e-16 1.09873e-16 6.96622e-17 row 6 8.37940e-17 7.50641e-17 5.88644e-17 3.62136e-17 2.50640e-17 1.18043e-17 row 7 9.68690e-18 9.75465e-18 9.61331e-18 8.47942e-18 7.76035e-18 6.37108e-18 5.79095e-18 row 8 -3.46474e-19 1.78528e-18 5.21479e-18 8.15872e-18 9.28500e-18 9.72272e-18 9.96277e-18 1.87745e-17 row 9 8.38659e-19 4.13008e-18 9.38458e-18 1.37232e-17 1.53292e-17 1.58604e-17 1.62227e-17 3.17266e-17 5.45949e-17 row 10 2.35615e-18 7.31692e-18 1.51930e-17 2.14992e-17 2.37718e-17 2.35014e-17 2.31772e-17 4.54371e-17 7.85568e-17 1.20749e-16 row 11 1.26710e-17 1.81248e-17 2.65073e-17 3.20175e-17 3.36289e-17 2.89948e-17 2.53937e-17 4.63600e-17 7.84421e-17 1.36861e-16 1.98925e-16 row 12 3.07270e-17 3.53059e-17 4.18047e-17 4.37507e-17 4.34375e-17 3.48867e-17 2.90772e-17 5.14938e-17 8.63218e-17 1.64596e-16 2.63819e-16 3.78687e-16 row 13 1.59950e-17 2.10974e-17 2.87913e-17 3.32598e-17 3.43522e-17 2.84979e-17 2.41071e-17 4.41762e-17 7.52648e-17 1.58436e-16 2.67675e-16 4.08043e-16 4.75625e-16 row 14 -6.90104e-19 4.40171e-18 1.24084e-17 1.85715e-17 2.07470e-17 1.85064e-17 1.65216e-17 3.26221e-17 5.72976e-17 1.28215e-16 2.18737e-16 3.44049e-16 4.28403e-16 4.80688e-16 row 15 1.03623e-17 1.28556e-17 1.62692e-17 1.67872e-17 1.63018e-17 1.28280e-17 1.11867e-17 2.37206e-17 4.30957e-17 1.13033e-16 2.10330e-16 3.42558e-16 4.46006e-16 5.04505e-16 6.15401e-16 row 16 1.97776e-17 1.89332e-17 1.65178e-17 1.00424e-17 6.26710e-18 2.64455e-18 2.68759e-18 9.32428e-18 1.96266e-17 7.18465e-17 1.53509e-16 2.59268e-16 3.55824e-16 4.37261e-16 5.62210e-16 6.59147e-16 row 17 1.67302e-17 1.49793e-17 1.09965e-17 2.73538e-18 -1.82902e-18 -4.25001e-18 -2.64706e-18 9.18679e-19 6.35339e-18 4.97972e-17 1.22882e-16 2.17413e-16 3.14498e-16 3.80390e-16 5.17168e-16 6.39777e-16 7.85429e-16 row 18 -2.97482e-18 -2.53140e-18 -2.59536e-18 -5.85747e-18 -8.01659e-18 -7.30862e-18 -4.13527e-18 6.44937e-19 7.57188e-18 5.09146e-17 1.17477e-16 2.02485e-16 3.03693e-16 3.87765e-16 5.30785e-16 6.23987e-16 7.41931e-16 8.54922e-16 row 19 -7.83667e-18 -6.79556e-18 -5.74286e-18 -7.43471e-18 -8.82027e-18 -7.52801e-18 -4.29986e-18 8.08801e-19 8.18464e-18 5.05984e-17 1.14223e-16 1.92920e-16 2.91615e-16 3.77966e-16 5.29695e-16 6.23082e-16 7.34828e-16 8.30482e-16 9.19382e-16 row 20 -9.61897e-18 -8.32361e-18 -6.90528e-18 -8.46703e-18 -9.84515e-18 -8.46120e-18 -5.02329e-18 4.82257e-19 8.37966e-18 4.67046e-17 1.02845e-16 1.70816e-16 2.60060e-16 3.51494e-16 4.80605e-16 5.72719e-16 6.69122e-16 7.60557e-16 8.19826e-16 9.67272e-16 row 21 -8.10583e-18 -6.39817e-18 -4.27177e-18 -5.11711e-18 -6.21794e-18 -5.19087e-18 -2.20123e-18 7.06663e-18 2.05739e-17 7.33061e-17 1.47559e-16 2.35482e-16 3.35055e-16 4.42304e-16 5.62610e-16 6.19669e-16 6.67467e-16 7.97371e-16 8.33280e-16 9.43286e-16 1.37110e-15 row 22 1.00298e-17 1.07002e-17 1.05706e-17 5.34949e-18 1.85500e-18 4.18712e-19 3.00922e-18 1.73997e-17 3.84848e-17 1.00168e-16 1.75167e-16 2.65854e-16 3.63993e-16 4.83912e-16 6.01842e-16 6.43407e-16 6.60711e-16 8.09778e-16 8.74695e-16 1.00070e-15 1.43196e-15 1.84349e-15 row 23 2.70617e-17 2.70634e-17 2.53236e-17 1.64617e-17 1.09144e-17 6.86316e-18 8.71288e-18 3.28148e-17 6.89338e-17 1.45120e-16 2.14580e-16 3.05940e-16 4.00737e-16 5.20845e-16 6.30233e-16 6.75223e-16 6.89583e-16 8.36028e-16 8.89163e-16 9.88128e-16 1.47961e-15 1.76423e-15 2.31197e-15 row 24 3.80078e-17 3.82579e-17 3.65591e-17 2.61841e-17 1.95891e-17 1.55412e-17 1.85312e-17 5.55232e-17 1.10779e-16 2.07261e-16 2.71182e-16 3.69226e-16 4.65810e-16 5.68692e-16 6.87669e-16 7.24184e-16 7.66409e-16 9.06225e-16 9.48646e-16 1.05964e-15 1.44188e-15 1.75287e-15 2.26856e-15 2.74534e-15 row 25 4.70791e-17 4.85053e-17 4.84350e-17 3.83012e-17 3.14464e-17 2.77414e-17 3.18218e-17 8.48692e-17 1.63976e-16 2.98466e-16 3.81163e-16 5.16975e-16 6.39366e-16 7.11462e-16 8.60338e-16 8.29310e-16 8.80281e-16 1.04936e-15 1.10824e-15 1.16898e-15 1.59809e-15 1.98047e-15 2.45566e-15 3.06969e-15 4.16825e-15 row 26 4.97510e-17 5.13221e-17 5.12944e-17 4.04628e-17 3.31534e-17 2.89197e-17 3.30339e-17 8.84193e-17 1.70851e-16 3.07129e-16 3.84725e-16 5.20908e-16 6.45664e-16 7.24903e-16 8.75597e-16 8.36197e-16 8.74674e-16 1.04793e-15 1.12611e-15 1.18211e-15 1.66010e-15 2.07484e-15 2.53045e-15 3.08740e-15 4.02890e-15 4.31944e-15 row 27 4.92894e-17 5.03526e-17 4.93449e-17 3.69854e-17 2.89116e-17 2.55632e-17 3.10749e-17 8.72113e-17 1.70270e-16 3.04056e-16 3.71601e-16 5.03190e-16 6.34484e-16 7.27062e-16 8.84883e-16 8.75570e-16 9.20556e-16 1.09040e-15 1.13852e-15 1.22949e-15 1.70105e-15 2.11481e-15 2.54501e-15 3.12029e-15 4.01908e-15 4.41399e-15 4.86018e-15 row 28 5.29017e-17 5.29739e-17 5.01373e-17 3.52771e-17 2.60041e-17 2.26664e-17 2.89858e-17 8.39463e-17 1.64819e-16 2.94852e-16 3.56874e-16 4.88727e-16 6.27846e-16 7.30893e-16 8.96190e-16 8.74645e-16 9.22581e-16 1.09273e-15 1.14663e-15 1.21831e-15 1.68981e-15 2.09420e-15 2.51978e-15 3.07380e-15 3.96370e-15 4.41721e-15 4.91702e-15 5.16647e-15 row 29 5.72719e-17 5.65128e-17 5.21162e-17 3.50531e-17 2.46958e-17 2.13966e-17 2.85049e-17 8.39177e-17 1.65042e-16 2.94499e-16 3.52073e-16 4.88639e-16 6.35782e-16 7.44092e-16 9.02546e-16 8.64704e-16 9.08595e-16 1.06973e-15 1.12308e-15 1.19472e-15 1.66779e-15 2.05591e-15 2.50276e-15 3.05127e-15 3.92283e-15 4.40516e-15 4.98560e-15 5.36555e-15 5.83327e-15 row 30 7.89746e-17 7.66551e-17 6.89809e-17 4.60603e-17 3.26046e-17 2.71844e-17 3.47168e-17 9.33165e-17 1.78699e-16 3.09482e-16 3.62381e-16 4.97149e-16 6.39312e-16 7.55088e-16 9.05734e-16 8.59496e-16 9.06025e-16 1.04993e-15 1.10368e-15 1.17646e-15 1.64244e-15 2.01574e-15 2.48093e-15 3.01313e-15 3.85376e-15 4.35810e-15 4.97354e-15 5.41193e-15 6.01542e-15 6.71643e-15 row 31 9.73892e-17 9.40132e-17 8.39874e-17 5.65204e-17 4.06326e-17 3.26464e-17 3.97638e-17 1.00639e-16 1.89366e-16 3.22986e-16 3.78927e-16 5.19081e-16 6.57108e-16 7.70686e-16 9.12888e-16 8.52658e-16 8.95889e-16 1.03215e-15 1.08235e-15 1.15743e-15 1.61760e-15 1.97986e-15 2.45863e-15 3.00658e-15 3.85409e-15 4.38390e-15 4.95423e-15 5.38876e-15 5.97739e-15 6.90506e-15 7.77794e-15 row 32 1.04592e-16 1.00450e-16 8.89022e-17 5.90087e-17 4.18926e-17 3.37560e-17 4.16661e-17 1.05339e-16 1.98043e-16 3.32975e-16 3.81963e-16 5.20815e-16 6.58021e-16 7.72309e-16 9.14160e-16 8.55215e-16 8.99834e-16 1.03850e-15 1.08364e-15 1.16905e-15 1.62957e-15 1.99248e-15 2.47918e-15 3.05296e-15 3.90219e-15 4.44106e-15 5.02951e-15 5.47832e-15 6.08494e-15 7.08810e-15 8.16659e-15 9.01107e-15 row 33 1.02968e-16 9.87987e-17 8.73456e-17 5.81356e-17 4.14450e-17 3.39850e-17 4.21042e-17 1.05971e-16 1.98931e-16 3.35348e-16 3.83767e-16 5.25079e-16 6.69912e-16 7.98128e-16 9.36890e-16 8.72222e-16 9.11793e-16 1.04902e-15 1.09434e-15 1.17749e-15 1.63628e-15 1.99956e-15 2.48463e-15 3.04794e-15 3.89688e-15 4.44188e-15 5.02396e-15 5.47178e-15 6.08233e-15 7.08695e-15 8.18637e-15 9.05010e-15 9.21023e-15 row 34 1.02968e-16 9.87987e-17 8.73456e-17 5.81356e-17 4.14450e-17 3.39850e-17 4.21042e-17 1.05971e-16 1.98931e-16 3.35348e-16 3.83767e-16 5.25079e-16 6.69912e-16 7.98128e-16 9.36890e-16 8.72222e-16 9.11793e-16 1.04902e-15 1.09434e-15 1.17749e-15 1.63628e-15 1.99956e-15 2.48463e-15 3.04794e-15 3.89688e-15 4.44188e-15 5.02396e-15 5.47178e-15 6.08233e-15 7.08695e-15 8.18637e-15 9.05010e-15 9.21023e-15 9.21023e-15 row 35 1.02968e-16 9.87987e-17 8.73456e-17 5.81356e-17 4.14450e-17 3.39850e-17 4.21042e-17 1.05971e-16 1.98931e-16 3.35348e-16 3.83767e-16 5.25079e-16 6.69912e-16 7.98128e-16 9.36890e-16 8.72222e-16 9.11793e-16 1.04902e-15 1.09434e-15 1.17749e-15 1.63628e-15 1.99956e-15 2.48463e-15 3.04794e-15 3.89688e-15 4.44188e-15 5.02396e-15 5.47178e-15 6.08233e-15 7.08695e-15 8.18637e-15 9.05010e-15 9.21023e-15 9.21023e-15 9.21023e-15 Sfc Temperature variance, K^2 25.0 Sfc Emissivity variance, dimensionless 0.025 co total col fitting coefs (vs. lat) = 1.e+00 0. 0. ch4 total col fitting coefs (vs. lat) = 1.e+00 0. 0. co total column variance before/after polynom fit = 4.66908e+35 4.66908e+35 ch4 total column variance before/after polynom fit = 5.87690e+35 5.87690e+35