<xarray.Dataset> Dimensions: (lat: 145, levp: 36) Coordinates: * lat (lat) float32 -90.0 -88.75 -87.5 -86.25 ... 87.5 88.75 90.0 * levp (levp) float32 4e+06 3e+06 2.2e+06 1.7e+06 ... 30.0 15.0 10.0 Data variables: (12/13) DallFAMy (levp, lat) float64 3.821e-33 -2.121e+03 ... 19.94 5.301e-36 DallFAMz (levp, lat) float64 -5.619e-38 165.2 ... 0.3639 -3.851e-41 DalldivFAMy (levp, lat) float64 -7.985e+07 -0.0004683 ... 0.2284 -8.4e+10 DalldivFAMz (levp, lat) float64 -8.031e-37 -0.0009379 ... -1.433 2.438e-34 D1FAMy (levp, lat) float64 4.658e-33 -2.16e+03 ... 20.53 3.062e-36 D1FAMz (levp, lat) float64 -6.65e-38 165.2 ... 0.3769 -7.874e-41 ... ... D1divFAMz (levp, lat) float64 -8.058e-37 -0.0009275 ... -1.374 2.565e-34 D2FAMy (levp, lat) float64 -5.838e-34 5.833 ... -0.6693 6.826e-37 D2FAMz (levp, lat) float64 1.032e-38 -1.021 ... -0.01127 3.668e-41 D2divFAMy (levp, lat) float64 2.195e+05 8.938e-06 ... 0.05372 2.819e+09 D2divFAMz (levp, lat) float64 -1.779e-38 -3.582e-06 ... -3.894e-36 levz (levp) float32 12.27 16.15 20.13 23.27 ... 89.8 92.5 94.08 Attributes: description: AM flux term of EP flux and its divergence of 5 Venus-day a...
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array([[ 2.19533477e+05, 8.93770784e-06, 6.57641380e-06, ..., -7.45614932e-05, 2.51534664e-05, 6.82804365e+06], [ 5.01938020e+05, 1.55874126e-05, 8.02399695e-06, ..., 1.21521439e-04, -4.50207104e-05, -1.27593483e+07], [ 5.08348642e+06, 5.48612261e-05, 1.35619111e-05, ..., -2.42025974e-04, -3.55710098e-04, -3.11868546e+07], ..., [-4.46152226e+08, -1.98931515e-02, -1.18175159e-05, ..., -6.82449505e-03, -1.00039695e-02, 5.21544957e+08], [-1.21719663e+09, -2.07029882e-03, 4.60344907e-02, ..., 6.41954564e-02, 1.26648289e-02, -6.07118940e+08], [ 3.16433223e+09, 6.58570072e-02, 4.88007272e-02, ..., 3.31560271e-02, 5.37198991e-02, 2.81940985e+09]])
array([[-1.77940929e-38, -3.58161317e-06, 1.78573565e-05, ..., -3.64498494e-04, -6.37014274e-04, 1.23606124e-37], [-3.14698819e-37, 1.61395311e-05, 1.71675862e-05, ..., 6.23383272e-05, -5.08062274e-04, -4.02136420e-38], [ 5.48572406e-37, -9.63088991e-06, -5.78445699e-05, ..., 4.11711179e-04, 4.84434456e-04, 4.55897366e-37], ..., [-1.19104826e-34, -5.28261981e-03, -1.35479295e-02, ..., -2.70764553e-02, -1.05007533e-02, 2.53587747e-35], [-1.44531914e-35, -1.81488348e-02, -2.15200945e-02, ..., -3.07370026e-02, -2.87059500e-02, -2.27866227e-36], [-4.78679399e-35, -4.44723482e-02, -5.38770813e-02, ..., -7.42997745e-02, -5.93518879e-02, -3.89363458e-36]])
array([12.268282, 16.14576 , 20.129618, 23.272675, 26.402077, 29.330484, 33.07931 , 35.49503 , 38.040073, 40.486633, 42.964912, 45.34019 , 47.906044, 49.883575, 51.478714, 53.42929 , 55.26853 , 56.963715, 58.730236, 59.97122 , 61.52278 , 63.15808 , 64.805466, 66.27704 , 67.7421 , 69.790886, 72.2975 , 75.05332 , 77.37193 , 80.47207 , 82.92677 , 85.103294, 87.10905 , 89.80155 , 92.503235, 94.08489 ], dtype=float32)
PandasIndex(Float64Index([ -90.0, -88.75, -87.5, -86.25, -85.0, -83.75, -82.5, -81.25, -80.0, -78.75, ... 78.75, 80.0, 81.25, 82.5, 83.75, 85.0, 86.25, 87.5, 88.75, 90.0], dtype='float64', name='lat', length=145))
PandasIndex(Float64Index([4000000.0, 3000000.0, 2200000.0, 1700000.0, 1300000.0, 1000000.0, 700000.0, 550000.0, 420000.0, 320000.0, 240000.0, 180000.0, 130000.0, 100000.0, 80000.0, 60000.0, 45000.0, 34000.0, 25000.0, 20000.0, 15000.0, 11000.0, 8000.0, 6000.0, 4500.0, 3000.0, 1800.0, 1000.0, 600.0, 300.0, 170.0, 100.0, 60.0, 30.0, 15.0, 10.0], dtype='float64', name='levp'))