Header line: comprehensive apriori data file, created Tue Jun 13 11:35:29 2000 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 = 2.25637e-08 2.18067e-08 2.03929e-08 1.84101e-08 1.74519e-08 1.64419e-08 1.61162e-08 1.94737e-08 2.40284e-08 3.15586e-08 4.28198e-08 5.53173e-08 6.67618e-08 7.53131e-08 8.12902e-08 8.59523e-08 8.96386e-08 9.17167e-08 9.25173e-08 9.38346e-08 9.45567e-08 9.79241e-08 1.00629e-07 1.04951e-07 1.10549e-07 1.11552e-07 1.11955e-07 1.12703e-07 1.13468e-07 1.14255e-07 1.14895e-07 1.17670e-07 1.17888e-07 1.27431e-07 1.27431e-07 ch4 mixing ratio mean profile = 4.52892e-07 4.83949e-07 5.62193e-07 7.66491e-07 8.93132e-07 1.15481e-06 1.29718e-06 1.38327e-06 1.44129e-06 1.52576e-06 1.62863e-06 1.69210e-06 1.71541e-06 1.72447e-06 1.72623e-06 1.72794e-06 1.72863e-06 1.72853e-06 1.72968e-06 1.73071e-06 1.73135e-06 1.73298e-06 1.73396e-06 1.73660e-06 1.73973e-06 1.74222e-06 1.74341e-06 1.74538e-06 1.74770e-06 1.74984e-06 1.75170e-06 1.75664e-06 1.75671e-06 1.75672e-06 1.75672e-06 co covariance matrix = row 1 1.26581e-15 row 2 1.11142e-15 9.76261e-16 row 3 8.29825e-16 7.29660e-16 5.46732e-16 row 4 4.53017e-16 3.99325e-16 3.01086e-16 1.68529e-16 row 5 2.70253e-16 2.39047e-16 1.81803e-16 1.04056e-16 6.61592e-17 row 6 7.90757e-17 7.08582e-17 5.56156e-17 3.43105e-17 2.38201e-17 1.08841e-17 row 7 1.01863e-17 1.00484e-17 9.57576e-18 8.14410e-18 7.30424e-18 5.32902e-18 4.21726e-18 row 8 6.81893e-19 2.40992e-18 5.18672e-18 7.53321e-18 8.41400e-18 7.83800e-18 7.17090e-18 1.37134e-17 row 9 1.77313e-18 4.50721e-18 8.88031e-18 1.24811e-17 1.37986e-17 1.28718e-17 1.18725e-17 2.36943e-17 4.16778e-17 row 10 2.90935e-18 7.06663e-18 1.36763e-17 1.89566e-17 2.08438e-17 1.90449e-17 1.72735e-17 3.44289e-17 6.06239e-17 9.15707e-17 row 11 1.10644e-17 1.57024e-17 2.28614e-17 2.76730e-17 2.91184e-17 2.40829e-17 1.98807e-17 3.61825e-17 6.17548e-17 1.00921e-16 1.37872e-16 row 12 2.64107e-17 3.00243e-17 3.51004e-17 3.63569e-17 3.59502e-17 2.76302e-17 2.16888e-17 3.78720e-17 6.38467e-17 1.12402e-16 1.71157e-16 2.34021e-16 row 13 6.88822e-18 1.12434e-17 1.79179e-17 2.23107e-17 2.36473e-17 1.92386e-17 1.56498e-17 2.86988e-17 4.94811e-17 9.62993e-17 1.54457e-16 2.30619e-16 2.65218e-16 row 14 -1.67263e-17 -1.18006e-17 -3.79580e-18 3.58903e-18 6.64931e-18 7.30392e-18 7.13626e-18 1.59037e-17 2.94258e-17 7.07145e-17 1.22430e-16 2.03654e-16 2.80596e-16 3.62052e-16 row 15 -1.46166e-17 -1.15344e-17 -6.85846e-18 -3.71211e-18 -2.65985e-18 -1.07726e-18 8.81895e-19 6.78804e-18 1.55234e-17 5.15608e-17 9.59108e-17 1.73240e-16 2.69260e-16 3.81647e-16 4.57871e-16 row 16 4.60118e-18 3.25819e-18 4.90946e-20 -6.72655e-18 -1.04129e-17 -9.83228e-18 -6.01074e-18 -4.63302e-18 -3.01227e-18 2.15718e-17 5.38739e-17 1.20132e-16 2.19845e-16 3.45082e-16 4.47275e-16 5.18431e-16 row 17 -1.44562e-17 -1.50658e-17 -1.68051e-17 -2.10996e-17 -2.34683e-17 -1.93852e-17 -1.31750e-17 -1.60143e-17 -2.11762e-17 -6.49195e-18 1.89976e-17 7.77398e-17 1.81779e-16 3.13250e-16 4.24676e-16 5.33547e-16 6.64038e-16 row 18 -4.10988e-17 -3.90842e-17 -3.60021e-17 -3.36418e-17 -3.27452e-17 -2.43772e-17 -1.62138e-17 -1.82997e-17 -2.28384e-17 -1.24017e-17 -3.30494e-18 4.19848e-17 1.57135e-16 3.11842e-16 4.40033e-16 5.54407e-16 6.89983e-16 8.07079e-16 row 19 -5.00085e-17 -4.76762e-17 -4.38865e-17 -4.01361e-17 -3.84819e-17 -2.80456e-17 -1.85171e-17 -1.98453e-17 -2.36824e-17 -1.45916e-17 -1.21287e-17 2.89438e-17 1.46251e-16 3.05046e-16 4.33590e-16 5.44520e-16 6.50136e-16 7.74831e-16 8.34275e-16 row 20 -4.39509e-17 -4.16340e-17 -3.81335e-17 -3.56991e-17 -3.48427e-17 -2.57987e-17 -1.67919e-17 -1.48357e-17 -1.36665e-17 -1.66024e-18 -5.69755e-18 2.89423e-17 1.40785e-16 2.93861e-16 4.23407e-16 5.41610e-16 6.43942e-16 7.73914e-16 8.41295e-16 9.46157e-16 row 21 -5.32652e-17 -5.05510e-17 -4.61124e-17 -4.17163e-17 -3.97914e-17 -2.88546e-17 -1.89438e-17 -1.71382e-17 -1.65077e-17 -6.38620e-18 -1.25812e-17 1.97254e-17 1.32167e-16 2.85556e-16 4.17151e-16 5.33261e-16 6.51857e-16 7.75594e-16 8.22058e-16 9.03600e-16 1.01163e-15 row 22 -3.48910e-17 -3.41467e-17 -3.35095e-17 -3.50275e-17 -3.61859e-17 -2.76679e-17 -1.78665e-17 -1.10648e-17 -2.90515e-18 1.61524e-17 7.09734e-18 4.31441e-17 1.63799e-16 3.25709e-16 4.66295e-16 5.81620e-16 6.83959e-16 8.02569e-16 8.48886e-16 9.31361e-16 1.07865e-15 1.46538e-15 row 23 -8.53139e-18 -8.77068e-18 -1.04588e-17 -1.71557e-17 -2.12402e-17 -1.70536e-17 -8.91496e-18 8.88628e-18 3.40747e-17 6.85496e-17 5.25943e-17 8.87252e-17 1.96638e-16 3.34789e-16 4.63315e-16 5.58372e-16 6.37965e-16 7.50631e-16 8.07383e-16 9.14323e-16 9.94100e-16 1.27679e-15 1.87009e-15 row 24 7.19060e-19 1.60743e-18 1.37651e-18 -5.70264e-18 -1.04220e-17 -7.27552e-18 9.78765e-19 3.28042e-17 7.92949e-17 1.40979e-16 1.27971e-16 1.72619e-16 2.84187e-16 4.22730e-16 5.55252e-16 6.47866e-16 7.41441e-16 8.83893e-16 9.25388e-16 1.01989e-15 1.07305e-15 1.34632e-15 1.92728e-15 2.57805e-15 row 25 -7.64796e-18 -5.36244e-18 -3.32562e-18 -8.57676e-18 -1.26281e-17 -9.63816e-18 -1.56437e-18 3.08521e-17 7.83301e-17 1.47816e-16 1.49121e-16 2.07112e-16 3.40886e-16 4.86200e-16 6.33573e-16 7.16000e-16 8.48528e-16 9.66002e-16 1.01908e-15 1.11812e-15 1.17821e-15 1.49846e-15 1.98795e-15 2.77326e-15 3.54191e-15 row 26 -1.69266e-18 -3.29395e-19 -1.83605e-19 -8.66433e-18 -1.43753e-17 -1.29284e-17 -5.01149e-18 2.33682e-17 6.47961e-17 1.29167e-16 1.37885e-16 2.03086e-16 3.35689e-16 4.83781e-16 6.29152e-16 7.21368e-16 8.46320e-16 9.59408e-16 1.02209e-15 1.12615e-15 1.18939e-15 1.51169e-15 1.93187e-15 2.61355e-15 3.32412e-15 3.22901e-15 row 27 4.17146e-18 4.63712e-18 3.05123e-18 -8.06774e-18 -1.51000e-17 -1.47558e-17 -6.94241e-18 1.94913e-17 5.79960e-17 1.20057e-16 1.31968e-16 2.01579e-16 3.34728e-16 4.82557e-16 6.24484e-16 7.22556e-16 8.47079e-16 9.58452e-16 1.02655e-15 1.13296e-15 1.19548e-15 1.52315e-15 1.90633e-15 2.53047e-15 3.21454e-15 3.16665e-15 3.14329e-15 row 28 7.01742e-18 7.05689e-18 4.61673e-18 -7.89949e-18 -1.56434e-17 -1.61394e-17 -8.57782e-18 1.60095e-17 5.17767e-17 1.11843e-16 1.28271e-16 2.01970e-16 3.34643e-16 4.82956e-16 6.22430e-16 7.24842e-16 8.46529e-16 9.55234e-16 1.02633e-15 1.13350e-15 1.20002e-15 1.52978e-15 1.87500e-15 2.44688e-15 3.11037e-15 3.10992e-15 3.10919e-15 3.10632e-15 row 29 1.00926e-17 9.53934e-18 5.95955e-18 -8.27663e-18 -1.68798e-17 -1.80448e-17 -1.05062e-17 1.23297e-17 4.54312e-17 1.03346e-16 1.22795e-16 2.00229e-16 3.33060e-16 4.82546e-16 6.20609e-16 7.27792e-16 8.46982e-16 9.54597e-16 1.02958e-15 1.14062e-15 1.20737e-15 1.53132e-15 1.85286e-15 2.37684e-15 3.00918e-15 3.05294e-15 3.07598e-15 3.09515e-15 3.11458e-15 row 30 1.28563e-17 1.18214e-17 7.29903e-18 -8.42145e-18 -1.77737e-17 -1.96183e-17 -1.21718e-17 8.81465e-18 3.91264e-17 9.46562e-17 1.17030e-16 1.97501e-16 3.29831e-16 4.78796e-16 6.13695e-16 7.25154e-16 8.42783e-16 9.46115e-16 1.02584e-15 1.13776e-15 1.20528e-15 1.51736e-15 1.82154e-15 2.29589e-15 2.90545e-15 2.99223e-15 3.03698e-15 3.07791e-15 3.11947e-15 3.14871e-15 row 31 1.49735e-17 1.35423e-17 8.24994e-18 -8.67394e-18 -1.86361e-17 -2.10618e-17 -1.37207e-17 5.57402e-18 3.33455e-17 8.69853e-17 1.13028e-16 1.97148e-16 3.28773e-16 4.77247e-16 6.09088e-16 7.24221e-16 8.39810e-16 9.40346e-16 1.02373e-15 1.13660e-15 1.20791e-15 1.50922e-15 1.78711e-15 2.21177e-15 2.80057e-15 2.92795e-15 2.99469e-15 3.05924e-15 3.12127e-15 3.17153e-15 3.21799e-15 row 32 1.68514e-17 1.61968e-17 1.21943e-17 -3.50264e-18 -1.29820e-17 -1.49288e-17 -7.28232e-18 2.02540e-17 6.04567e-17 1.25342e-16 1.47829e-16 2.34237e-16 3.58371e-16 4.96266e-16 6.15878e-16 7.23453e-16 8.22814e-16 9.22539e-16 1.00010e-15 1.12407e-15 1.20823e-15 1.51361e-15 1.81785e-15 2.31344e-15 2.81766e-15 2.96808e-15 3.02845e-15 3.08845e-15 3.15551e-15 3.20746e-15 3.24830e-15 3.59038e-15 row 33 2.99728e-17 2.75061e-17 2.02575e-17 3.70223e-19 -1.11495e-17 -1.46730e-17 -7.29728e-18 1.98695e-17 5.96150e-17 1.23564e-16 1.46614e-16 2.34205e-16 3.55068e-16 4.89426e-16 6.05734e-16 7.16643e-16 8.13462e-16 9.10900e-16 9.90223e-16 1.11657e-15 1.20299e-15 1.50785e-15 1.79163e-15 2.25275e-15 2.73068e-15 2.90758e-15 2.98062e-15 3.05287e-15 3.13186e-15 3.19536e-15 3.24752e-15 3.60014e-15 3.63167e-15 row 34 1.01389e-16 9.28620e-17 7.35492e-17 3.40633e-17 1.26017e-17 -3.03947e-18 3.70735e-19 2.94262e-17 7.36017e-17 1.48122e-16 1.92228e-16 2.90570e-16 4.39890e-16 5.95550e-16 7.20468e-16 7.41473e-16 8.58024e-16 9.83674e-16 1.04735e-15 1.19417e-15 1.29853e-15 1.60300e-15 2.21003e-15 2.81349e-15 3.40718e-15 3.39408e-15 3.37699e-15 3.35825e-15 3.34839e-15 3.32501e-15 3.29374e-15 3.54453e-15 3.51504e-15 7.32499e-15 row 35 1.01389e-16 9.28620e-17 7.35492e-17 3.40633e-17 1.26017e-17 -3.03947e-18 3.70735e-19 2.94262e-17 7.36017e-17 1.48122e-16 1.92228e-16 2.90570e-16 4.39890e-16 5.95550e-16 7.20468e-16 7.41473e-16 8.58024e-16 9.83674e-16 1.04735e-15 1.19417e-15 1.29853e-15 1.60300e-15 2.21003e-15 2.81349e-15 3.40718e-15 3.39408e-15 3.37699e-15 3.35825e-15 3.34839e-15 3.32501e-15 3.29374e-15 3.54453e-15 3.51504e-15 7.32499e-15 7.32499e-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