<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) DallFheaty (levp, lat) float64 1.197e-26 35.46 ... -0.01308 8.788e-32 DallFheatz (levp, lat) float64 1.197e-26 35.46 ... -0.01308 8.788e-32 DalldivFheaty (levp, lat) float64 1.335e+06 1.21e-05 ... 0.001451 5.509e+07 DalldivFheatz (levp, lat) float64 1.115e-25 -0.0003027 ... 0.1055 3.114e-26 D1Fheaty (levp, lat) float64 1.242e-26 35.54 ... -0.01301 7.653e-32 D1Fheatz (levp, lat) float64 1.242e-26 35.54 ... -0.01301 7.653e-32 ... ... D1divFheatz (levp, lat) float64 1.384e-25 -0.0003054 ... 0.1055 2.412e-26 D2Fheaty (levp, lat) float64 4.194e-29 -0.09188 ... 1.052e-32 D2Fheatz (levp, lat) float64 4.194e-29 -0.09188 ... 1.052e-32 D2divFheaty (levp, lat) float64 -3.458e+03 5.912e-08 ... 4.907e+05 D2divFheatz (levp, lat) float64 -2.716e-26 2.787e-06 ... 1.279e-26 levz (levp) float32 12.27 16.15 20.13 23.27 ... 89.8 92.5 94.08 Attributes: description: Heat flux term of EP flux and its divergence of 5 Venus-day...
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array([[-2.71647038e-26, 2.78736028e-06, 3.12487135e-06, ..., 2.78379104e-05, 8.59083061e-06, -7.95091227e-27], [ 1.39924308e-26, -1.31304497e-06, 1.67038121e-06, ..., -1.58702549e-04, -8.98980541e-05, -3.72378749e-26], [ 1.78837197e-25, -6.46946568e-06, -2.13933167e-05, ..., -2.44522467e-04, -9.76273448e-05, 1.27827205e-25], ..., [ 2.12649869e-25, 5.40774119e-03, 1.28120881e-02, ..., 8.94821359e-03, 3.91180456e-03, -4.02790958e-25], [ 2.70770777e-27, 2.17850968e-04, 3.83550214e-04, ..., 4.39397465e-04, 2.58707682e-04, 9.47502776e-27], [ 4.71328605e-27, 6.22644792e-05, -1.33044310e-04, ..., -1.55617849e-04, 1.60999635e-04, 1.27894590e-26]])
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))
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