<xarray.Dataset>
Dimensions: (lat: 145, levp: 36)
Coordinates:
* lat (lat) float32 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0
* levp (levp) float32 4e+06 3e+06 2.2e+06 1.7e+06 ... 60.0 30.0 15.0 10.0
Data variables:
DallFy (levp, lat) float64 1.197e-26 -2.086e+03 ... 19.93 8.789e-32
DallFz (levp, lat) float64 1.197e-26 200.7 40.88 ... 0.3509 8.788e-32
DalldivF (levp, lat) float64 -7.851e+07 -0.001697 ... -1.097 -8.395e+10
D1Fy (levp, lat) float64 1.242e-26 -2.124e+03 ... 20.52 7.653e-32
D1Fz (levp, lat) float64 1.242e-26 200.8 43.1 ... 0.3639 7.653e-32
D1divF (levp, lat) float64 -7.995e+07 -0.001716 ... -1.1 -8.642e+10
D2Fy (levp, lat) float64 4.194e-29 5.741 59.55 ... -0.6694 1.052e-32
D2Fz (levp, lat) float64 4.194e-29 -1.113 -2.761 ... -0.01139 1.052e-32
D2divF (levp, lat) float64 2.161e+05 8.203e-06 ... -0.005463 2.82e+09
levz (levp) float32 12.27 16.15 20.13 23.27 ... 87.11 89.8 92.5 94.08
Attributes:
description: EP flux and its divergence of 5 Venus-day averaged total, d...array([-90. , -88.75, -87.5 , -86.25, -85. , -83.75, -82.5 , -81.25, -80. ,
-78.75, -77.5 , -76.25, -75. , -73.75, -72.5 , -71.25, -70. , -68.75,
-67.5 , -66.25, -65. , -63.75, -62.5 , -61.25, -60. , -58.75, -57.5 ,
-56.25, -55. , -53.75, -52.5 , -51.25, -50. , -48.75, -47.5 , -46.25,
-45. , -43.75, -42.5 , -41.25, -40. , -38.75, -37.5 , -36.25, -35. ,
-33.75, -32.5 , -31.25, -30. , -28.75, -27.5 , -26.25, -25. , -23.75,
-22.5 , -21.25, -20. , -18.75, -17.5 , -16.25, -15. , -13.75, -12.5 ,
-11.25, -10. , -8.75, -7.5 , -6.25, -5. , -3.75, -2.5 , -1.25,
-0. , 1.25, 2.5 , 3.75, 5. , 6.25, 7.5 , 8.75, 10. ,
11.25, 12.5 , 13.75, 15. , 16.25, 17.5 , 18.75, 20. , 21.25,
22.5 , 23.75, 25. , 26.25, 27.5 , 28.75, 30. , 31.25, 32.5 ,
33.75, 35. , 36.25, 37.5 , 38.75, 40. , 41.25, 42.5 , 43.75,
45. , 46.25, 47.5 , 48.75, 50. , 51.25, 52.5 , 53.75, 55. ,
56.25, 57.5 , 58.75, 60. , 61.25, 62.5 , 63.75, 65. , 66.25,
67.5 , 68.75, 70. , 71.25, 72.5 , 73.75, 75. , 76.25, 77.5 ,
78.75, 80. , 81.25, 82.5 , 83.75, 85. , 86.25, 87.5 , 88.75,
90. ], dtype=float32)array([4.0e+06, 3.0e+06, 2.2e+06, 1.7e+06, 1.3e+06, 1.0e+06, 7.0e+05, 5.5e+05,
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4.5e+03, 3.0e+03, 1.8e+03, 1.0e+03, 6.0e+02, 3.0e+02, 1.7e+02, 1.0e+02,
6.0e+01, 3.0e+01, 1.5e+01, 1.0e+01], dtype=float32)array([[ 1.19685265e-26, -2.08601221e+03, -3.01942685e+03, ...,
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-5.90025150e+02, -6.68602538e+02, 1.41937697e-26],
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...,
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3.60744512e+00, 1.29077071e+00, 1.32083159e-31],
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1.17305973e+00, 3.50863600e-01, 8.78834758e-32]])array([[-7.85121351e+07, -1.69677669e-03, -5.69415412e-04, ...,
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...,
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...,
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5.93166223e+02, 2.31344221e+02, -4.67229611e-31],
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3.51150236e+00, 1.26213790e+00, 1.10765414e-31],
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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'))