array([296.])
array('1987-04-04T18:00:00.000000000', dtype='datetime64[ns]')
array([-3.086806e+03, -3.054343e+03, -3.021880e+03, -2.989417e+03, + Geopotential_height (isentropic_level, y, x) float64 <Quantity([[[1063.6...
array([296.])
array('1987-04-04T18:00:00.000000000', dtype='datetime64[ns]')
array([-3.086806e+03, -3.054343e+03, -3.021880e+03, -2.989417e+03, -2.956954e+03, -2.924491e+03, -2.892028e+03, -2.859565e+03, -2.827102e+03, -2.794639e+03, -2.762176e+03, -2.729713e+03, -2.697250e+03, -2.664787e+03, -2.632324e+03, -2.599861e+03, @@ -592,8 +592,8 @@ The output is an xarray Dataset: 2.893464e+02, 3.218094e+02, 3.542724e+02, 3.867354e+02, 4.191984e+02, 4.516614e+02, 4.841244e+02, 5.165874e+02, 5.490504e+02, 5.815134e+02, 6.139764e+02, 6.464394e+02, - 6.789024e+02, 7.113654e+02])
array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136, - 5437.215136, 5469.678136])
[34456 values with dtype=float64]
[34456 values with dtype=float64]
Magnitude | [[[900.3412466141666 900.6282002263883 902.6954128823945 ... nan nan nan] |
---|---|
Units | hectopascal |
Magnitude | [[[287.25340245256615 287.2795573040488 287.4678010688309 ... nan nan |
---|---|
Units | kelvin |
Magnitude | [[[-13.192940863873579 -13.65521105416572 -13.558986233473753 ... nan |
---|---|
Units | meter/second |
Magnitude | [[[0.06423312212716725 0.07479514517840302 -0.16838919556261756 ... nan |
---|---|
Units | meter/second |
Magnitude | [[[0.008842348434263451 0.008867832268411289 0.008968565810944646 ... |
---|---|
Units | dimensionless |
Magnitude | [[[1063.6606513260513 1061.4421473443042 1041.4938116153148 ... nan nan |
---|---|
Units | meter |
PandasIndex(Index([296.0], dtype='float64', name='isentropic_level'))
PandasIndex(Index([-3086.8056464496035, -3054.3426464496033, -3021.8796464496036, + 6.789024e+02, 7.113654e+02])
array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136, + 5437.215136, 5469.678136])
[34456 values with dtype=float64]
[34456 values with dtype=float64]
Magnitude | [[[900.3412466141666 900.6282002263883 902.6954128823937 ... nan nan nan] |
---|---|
Units | hectopascal |
Magnitude | [[[287.25340245256615 287.2795573040488 287.46780106883085 ... nan nan |
---|---|
Units | kelvin |
Magnitude | [[[-13.192940863873584 -13.655211054165733 -13.558986233473757 ... nan |
---|---|
Units | meter/second |
Magnitude | [[[0.0642331221271153 0.07479514517833352 -0.1683891955627046 ... nan |
---|---|
Units | meter/second |
Magnitude | [[[0.008842348434263434 0.00886783226841127 0.008968565810944629 ... nan |
---|---|
Units | dimensionless |
Magnitude | [[[1063.6606513260613 1061.4421473443138 1041.4938116153235 ... nan nan |
---|---|
Units | meter |
PandasIndex(Index([296.0], dtype='float64', name='isentropic_level'))
PandasIndex(Index([-3086.8056464496035, -3054.3426464496033, -3021.8796464496036, -2989.4166464496034, -2956.953646449603, -2924.4906464496034, -2892.0276464496037, -2859.5646464496035, -2827.1016464496033, -2794.6386464496036, @@ -602,7 +602,7 @@ The output is an xarray Dataset: 516.587353550397, 549.0503535503967, 581.5133535503965, 613.9763535503971, 646.4393535503968, 678.9023535503966, 711.3653535503963], - dtype='float64', name='y', length=118))
PandasIndex(Index([ -3977.054863757302, -3944.5918637573022, -3912.1288637573025, + dtype='float64', name='y', length=118))
PandasIndex(Index([ -3977.054863757302, -3944.5918637573022, -3912.1288637573025, -3879.6658637573023, -3847.202863757302, -3814.7398637573024, -3782.276863757302, -3749.813863757302, -3717.3508637573022, -3684.8878637573025, @@ -611,7 +611,7 @@ The output is an xarray Dataset: 5274.900136242699, 5307.363136242699, 5339.826136242698, 5372.289136242698, 5404.752136242698, 5437.215136242698, 5469.678136242697], - dtype='float64', name='x', length=292))
array(['1987-04-04T18:00:00.000000000'], dtype='datetime64[ns]')
array([1000., 975., 950., 925., 900., 875., 850., 825., 800., 775., + History: Translated to CF-1.0 Conventions by Netcdf-Java...
array(['1987-04-04T18:00:00.000000000'], dtype='datetime64[ns]')
array([1000., 975., 950., 925., 900., 875., 850., 825., 800., 775., 750., 725., 700., 650., 600., 550., 500., 450., 400., 350., - 300., 275., 250., 225., 200., 175., 150., 125., 100.])
array([-3.086806e+03, -3.054343e+03, -3.021880e+03, -2.989417e+03, + 300., 275., 250., 225., 200., 175., 150., 125., 100.])
array([-3.086806e+03, -3.054343e+03, -3.021880e+03, -2.989417e+03, -2.956954e+03, -2.924491e+03, -2.892028e+03, -2.859565e+03, -2.827102e+03, -2.794639e+03, -2.762176e+03, -2.729713e+03, -2.697250e+03, -2.664787e+03, -2.632324e+03, -2.599861e+03, @@ -501,12 +501,12 @@ Preview the data: 2.893464e+02, 3.218094e+02, 3.542724e+02, 3.867354e+02, 4.191984e+02, 4.516614e+02, 4.841244e+02, 5.165874e+02, 5.490504e+02, 5.815134e+02, 6.139764e+02, 6.464394e+02, - 6.789024e+02, 7.113654e+02])
array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136, - 5437.215136, 5469.678136])
[999224 values with dtype=float32]
[1 values with dtype=|S1]
[34456 values with dtype=float64]
[34456 values with dtype=float64]
[999224 values with dtype=float32]
[999224 values with dtype=float32]
[999224 values with dtype=float32]
[999224 values with dtype=float32]
PandasIndex(DatetimeIndex(['1987-04-04 18:00:00'], dtype='datetime64[ns]', name='time', freq=None))
PandasIndex(Index([1000.0, 975.0, 950.0, 925.0, 900.0, 875.0, 850.0, 825.0, 800.0, + 6.789024e+02, 7.113654e+02])
array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136, + 5437.215136, 5469.678136])
[999224 values with dtype=float32]
[1 values with dtype=|S1]
[34456 values with dtype=float64]
[34456 values with dtype=float64]
[999224 values with dtype=float32]
[999224 values with dtype=float32]
[999224 values with dtype=float32]
[999224 values with dtype=float32]
PandasIndex(DatetimeIndex(['1987-04-04 18:00:00'], dtype='datetime64[ns]', name='time', freq=None))
PandasIndex(Index([1000.0, 975.0, 950.0, 925.0, 900.0, 875.0, 850.0, 825.0, 800.0, 775.0, 750.0, 725.0, 700.0, 650.0, 600.0, 550.0, 500.0, 450.0, 400.0, 350.0, 300.0, 275.0, 250.0, 225.0, 200.0, 175.0, 150.0, 125.0, 100.0], - dtype='float64', name='isobaric'))
PandasIndex(Index([-3086.8056464496035, -3054.3426464496033, -3021.8796464496036, + dtype='float64', name='isobaric'))
PandasIndex(Index([-3086.8056464496035, -3054.3426464496033, -3021.8796464496036, -2989.4166464496034, -2956.953646449603, -2924.4906464496034, -2892.0276464496037, -2859.5646464496035, -2827.1016464496033, -2794.6386464496036, @@ -515,7 +515,7 @@ Preview the data: 516.587353550397, 549.0503535503967, 581.5133535503965, 613.9763535503971, 646.4393535503968, 678.9023535503966, 711.3653535503963], - dtype='float64', name='y', length=118))
PandasIndex(Index([ -3977.054863757302, -3944.5918637573022, -3912.1288637573025, + dtype='float64', name='y', length=118))
PandasIndex(Index([ -3977.054863757302, -3944.5918637573022, -3912.1288637573025, -3879.6658637573023, -3847.202863757302, -3814.7398637573024, -3782.276863757302, -3749.813863757302, -3717.3508637573022, -3684.8878637573025, @@ -524,7 +524,7 @@ Preview the data: 5274.900136242699, 5307.363136242699, 5339.826136242698, 5372.289136242698, 5404.752136242698, 5437.215136242698, 5469.678136242697], - dtype='float64', name='x', length=292))
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', + geospatial_lon_max: ...
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', '2017-09-05T18:00:00.000000000', '2017-09-05T21:00:00.000000000', '2017-09-06T00:00:00.000000000', '2017-09-06T03:00:00.000000000', '2017-09-06T06:00:00.000000000', '2017-09-06T09:00:00.000000000', - '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
[1 values with dtype=datetime64[ns]]
array([50. , 49.5, 49. , 48.5, 48. , 47.5, 47. , 46.5, 46. , 45.5, 45. , 44.5, + '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
[1 values with dtype=datetime64[ns]]
array([50. , 49.5, 49. , 48.5, 48. , 47.5, 47. , 46.5, 46. , 45.5, 45. , 44.5, 44. , 43.5, 43. , 42.5, 42. , 41.5, 41. , 40.5, 40. , 39.5, 39. , 38.5, 38. , 37.5, 37. , 36.5, 36. , 35.5, 35. , 34.5, 34. , 33.5, 33. , 32.5, 32. , 31.5, 31. , 30.5, 30. , 29.5, 29. , 28.5, 28. , 27.5, 27. , 26.5, 26. , 25.5, 25. , 24.5, 24. , 23.5, 23. , 22.5, 22. , 21.5, 21. , 20.5, 20. , 19.5, 19. , 18.5, 18. , 17.5, 17. , 16.5, 16. , 15.5, 15. , 14.5, - 14. , 13.5, 13. , 12.5, 12. , 11.5, 11. , 10.5, 10. ], dtype=float32)
array([ 100., 200., 300., 500., 700., 1000., 2000., 3000., + 14. , 13.5, 13. , 12.5, 12. , 11.5, 11. , 10.5, 10. ], dtype=float32)
array([ 100., 200., 300., 500., 700., 1000., 2000., 3000., 5000., 7000., 10000., 15000., 20000., 25000., 30000., 35000., 40000., 45000., 50000., 55000., 60000., 65000., 70000., 75000., - 80000., 85000., 90000., 92500., 95000., 97500., 100000.])
array([ 10000., 15000., 20000., 25000., 30000., 35000., 40000., 45000., + 80000., 85000., 90000., 92500., 95000., 97500., 100000.])
array([ 10000., 15000., 20000., 25000., 30000., 35000., 40000., 45000., 50000., 55000., 60000., 65000., 70000., 75000., 80000., 85000., - 90000., 92500., 95000., 97500., 100000.])
array([250. , 250.5, 251. , 251.5, 252. , 252.5, 253. , 253.5, 254. , 254.5, + 90000., 92500., 95000., 97500., 100000.])
array([250. , 250.5, 251. , 251.5, 252. , 252.5, 253. , 253.5, 254. , 254.5, 255. , 255.5, 256. , 256.5, 257. , 257.5, 258. , 258.5, 259. , 259.5, 260. , 260.5, 261. , 261.5, 262. , 262.5, 263. , 263.5, 264. , 264.5, 265. , 265.5, 266. , 266.5, 267. , 267.5, 268. , 268.5, 269. , 269.5, @@ -503,30 +503,30 @@ First, some general imports... 300. , 300.5, 301. , 301.5, 302. , 302.5, 303. , 303.5, 304. , 304.5, 305. , 305.5, 306. , 306.5, 307. , 307.5, 308. , 308.5, 309. , 309.5, 310. , 310.5, 311. , 311.5, 312. , 312.5, 313. , 313.5, 314. , 314.5, - 315. ], dtype=float32)
[2005479 values with dtype=float32]
[2960469 values with dtype=float32]
[2960469 values with dtype=float32]
[2960469 values with dtype=float32]
[2960469 values with dtype=float32]
[2960469 values with dtype=float32]
[1 values with dtype=int32]
PandasIndex(DatetimeIndex(['2017-09-05 12:00:00', '2017-09-05 15:00:00', + 315. ], dtype=float32)
[2005479 values with dtype=float32]
[2960469 values with dtype=float32]
[2960469 values with dtype=float32]
[2960469 values with dtype=float32]
[2960469 values with dtype=float32]
[2960469 values with dtype=float32]
[1 values with dtype=int32]
PandasIndex(DatetimeIndex(['2017-09-05 12:00:00', '2017-09-05 15:00:00', '2017-09-05 18:00:00', '2017-09-05 21:00:00', '2017-09-06 00:00:00', '2017-09-06 03:00:00', '2017-09-06 06:00:00', '2017-09-06 09:00:00', '2017-09-06 12:00:00'], - dtype='datetime64[ns]', name='time1', freq=None))
PandasIndex(Index([50.0, 49.5, 49.0, 48.5, 48.0, 47.5, 47.0, 46.5, 46.0, 45.5, 45.0, 44.5, + dtype='datetime64[ns]', name='time1', freq=None))
PandasIndex(Index([50.0, 49.5, 49.0, 48.5, 48.0, 47.5, 47.0, 46.5, 46.0, 45.5, 45.0, 44.5, 44.0, 43.5, 43.0, 42.5, 42.0, 41.5, 41.0, 40.5, 40.0, 39.5, 39.0, 38.5, 38.0, 37.5, 37.0, 36.5, 36.0, 35.5, 35.0, 34.5, 34.0, 33.5, 33.0, 32.5, 32.0, 31.5, 31.0, 30.5, 30.0, 29.5, 29.0, 28.5, 28.0, 27.5, 27.0, 26.5, 26.0, 25.5, 25.0, 24.5, 24.0, 23.5, 23.0, 22.5, 22.0, 21.5, 21.0, 20.5, 20.0, 19.5, 19.0, 18.5, 18.0, 17.5, 17.0, 16.5, 16.0, 15.5, 15.0, 14.5, 14.0, 13.5, 13.0, 12.5, 12.0, 11.5, 11.0, 10.5, 10.0], - dtype='float32', name='latitude'))
PandasIndex(Index([ 100.0, 200.0, 300.0, 500.0, 700.0, 1000.0, 2000.0, + dtype='float32', name='latitude'))
PandasIndex(Index([ 100.0, 200.0, 300.0, 500.0, 700.0, 1000.0, 2000.0, 3000.0, 5000.0, 7000.0, 10000.0, 15000.0, 20000.0, 25000.0, 30000.0, 35000.0, 40000.0, 45000.0, 50000.0, 55000.0, 60000.0, 65000.0, 70000.0, 75000.0, 80000.0, 85000.0, 90000.0, 92500.0, 95000.0, 97500.0, 100000.0], - dtype='float64', name='isobaric3'))
PandasIndex(Index([ 10000.0, 15000.0, 20000.0, 25000.0, 30000.0, 35000.0, 40000.0, + dtype='float64', name='isobaric3'))
PandasIndex(Index([ 10000.0, 15000.0, 20000.0, 25000.0, 30000.0, 35000.0, 40000.0, 45000.0, 50000.0, 55000.0, 60000.0, 65000.0, 70000.0, 75000.0, 80000.0, 85000.0, 90000.0, 92500.0, 95000.0, 97500.0, 100000.0], - dtype='float64', name='isobaric1'))
PandasIndex(Index([250.0, 250.5, 251.0, 251.5, 252.0, 252.5, 253.0, 253.5, 254.0, 254.5, + dtype='float64', name='isobaric1'))
PandasIndex(Index([250.0, 250.5, 251.0, 251.5, 252.0, 252.5, 253.0, 253.5, 254.0, 254.5, ... 310.5, 311.0, 311.5, 312.0, 312.5, 313.0, 313.5, 314.0, 314.5, 315.0], - dtype='float32', name='longitude', length=131))
[2960469 values with dtype=float32]
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', + grid_mapping: LatLon_361X720-0p25S-180p00E
[2960469 values with dtype=float32]
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', '2017-09-05T18:00:00.000000000', '2017-09-05T21:00:00.000000000', '2017-09-06T00:00:00.000000000', '2017-09-06T03:00:00.000000000', '2017-09-06T06:00:00.000000000', '2017-09-06T09:00:00.000000000', - '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
[1 values with dtype=datetime64[ns]]
array([50. , 49.5, 49. , 48.5, 48. , 47.5, 47. , 46.5, 46. , 45.5, 45. , 44.5, + '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
[1 values with dtype=datetime64[ns]]
array([50. , 49.5, 49. , 48.5, 48. , 47.5, 47. , 46.5, 46. , 45.5, 45. , 44.5, 44. , 43.5, 43. , 42.5, 42. , 41.5, 41. , 40.5, 40. , 39.5, 39. , 38.5, 38. , 37.5, 37. , 36.5, 36. , 35.5, 35. , 34.5, 34. , 33.5, 33. , 32.5, 32. , 31.5, 31. , 30.5, 30. , 29.5, 29. , 28.5, 28. , 27.5, 27. , 26.5, 26. , 25.5, 25. , 24.5, 24. , 23.5, 23. , 22.5, 22. , 21.5, 21. , 20.5, 20. , 19.5, 19. , 18.5, 18. , 17.5, 17. , 16.5, 16. , 15.5, 15. , 14.5, - 14. , 13.5, 13. , 12.5, 12. , 11.5, 11. , 10.5, 10. ], dtype=float32)
array([ 100., 200., 300., 500., 700., 1000., 2000., 3000., + 14. , 13.5, 13. , 12.5, 12. , 11.5, 11. , 10.5, 10. ], dtype=float32)
array([ 100., 200., 300., 500., 700., 1000., 2000., 3000., 5000., 7000., 10000., 15000., 20000., 25000., 30000., 35000., 40000., 45000., 50000., 55000., 60000., 65000., 70000., 75000., - 80000., 85000., 90000., 92500., 95000., 97500., 100000.])
array([250. , 250.5, 251. , 251.5, 252. , 252.5, 253. , 253.5, 254. , 254.5, + 80000., 85000., 90000., 92500., 95000., 97500., 100000.])
array([250. , 250.5, 251. , 251.5, 252. , 252.5, 253. , 253.5, 254. , 254.5, 255. , 255.5, 256. , 256.5, 257. , 257.5, 258. , 258.5, 259. , 259.5, 260. , 260.5, 261. , 261.5, 262. , 262.5, 263. , 263.5, 264. , 264.5, 265. , 265.5, 266. , 266.5, 267. , 267.5, 268. , 268.5, 269. , 269.5, @@ -971,27 +971,27 @@ if we look at just a single data variable? 300. , 300.5, 301. , 301.5, 302. , 302.5, 303. , 303.5, 304. , 304.5, 305. , 305.5, 306. , 306.5, 307. , 307.5, 308. , 308.5, 309. , 309.5, 310. , 310.5, 311. , 311.5, 312. , 312.5, 313. , 313.5, 314. , 314.5, - 315. ], dtype=float32)
PandasIndex(DatetimeIndex(['2017-09-05 12:00:00', '2017-09-05 15:00:00', + 315. ], dtype=float32)
PandasIndex(DatetimeIndex(['2017-09-05 12:00:00', '2017-09-05 15:00:00', '2017-09-05 18:00:00', '2017-09-05 21:00:00', '2017-09-06 00:00:00', '2017-09-06 03:00:00', '2017-09-06 06:00:00', '2017-09-06 09:00:00', '2017-09-06 12:00:00'], - dtype='datetime64[ns]', name='time1', freq=None))
PandasIndex(Index([50.0, 49.5, 49.0, 48.5, 48.0, 47.5, 47.0, 46.5, 46.0, 45.5, 45.0, 44.5, + dtype='datetime64[ns]', name='time1', freq=None))
PandasIndex(Index([50.0, 49.5, 49.0, 48.5, 48.0, 47.5, 47.0, 46.5, 46.0, 45.5, 45.0, 44.5, 44.0, 43.5, 43.0, 42.5, 42.0, 41.5, 41.0, 40.5, 40.0, 39.5, 39.0, 38.5, 38.0, 37.5, 37.0, 36.5, 36.0, 35.5, 35.0, 34.5, 34.0, 33.5, 33.0, 32.5, 32.0, 31.5, 31.0, 30.5, 30.0, 29.5, 29.0, 28.5, 28.0, 27.5, 27.0, 26.5, 26.0, 25.5, 25.0, 24.5, 24.0, 23.5, 23.0, 22.5, 22.0, 21.5, 21.0, 20.5, 20.0, 19.5, 19.0, 18.5, 18.0, 17.5, 17.0, 16.5, 16.0, 15.5, 15.0, 14.5, 14.0, 13.5, 13.0, 12.5, 12.0, 11.5, 11.0, 10.5, 10.0], - dtype='float32', name='latitude'))
PandasIndex(Index([ 100.0, 200.0, 300.0, 500.0, 700.0, 1000.0, 2000.0, + dtype='float32', name='latitude'))
PandasIndex(Index([ 100.0, 200.0, 300.0, 500.0, 700.0, 1000.0, 2000.0, 3000.0, 5000.0, 7000.0, 10000.0, 15000.0, 20000.0, 25000.0, 30000.0, 35000.0, 40000.0, 45000.0, 50000.0, 55000.0, 60000.0, 65000.0, 70000.0, 75000.0, 80000.0, 85000.0, 90000.0, 92500.0, 95000.0, 97500.0, 100000.0], - dtype='float64', name='isobaric3'))
PandasIndex(Index([250.0, 250.5, 251.0, 251.5, 252.0, 252.5, 253.0, 253.5, 254.0, 254.5, + dtype='float64', name='isobaric3'))
PandasIndex(Index([250.0, 250.5, 251.0, 251.5, 252.0, 252.5, 253.0, 253.5, 254.0, 254.5, ... 310.5, 311.0, 311.5, 312.0, 312.5, 313.0, 313.5, 314.0, 314.5, 315.0], - dtype='float32', name='longitude', length=131))
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', + _metpy_axis: time
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', '2017-09-05T18:00:00.000000000', '2017-09-05T21:00:00.000000000', '2017-09-06T00:00:00.000000000', '2017-09-06T03:00:00.000000000', '2017-09-06T06:00:00.000000000', '2017-09-06T09:00:00.000000000', - '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', + '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', '2017-09-05T18:00:00.000000000', '2017-09-05T21:00:00.000000000', '2017-09-06T00:00:00.000000000', '2017-09-06T03:00:00.000000000', '2017-09-06T06:00:00.000000000', '2017-09-06T09:00:00.000000000', - '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
[1 values with dtype=datetime64[ns]]
PandasIndex(DatetimeIndex(['2017-09-05 12:00:00', '2017-09-05 15:00:00', + '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
[1 values with dtype=datetime64[ns]]
PandasIndex(DatetimeIndex(['2017-09-05 12:00:00', '2017-09-05 15:00:00', '2017-09-05 18:00:00', '2017-09-05 21:00:00', '2017-09-06 00:00:00', '2017-09-06 03:00:00', '2017-09-06 06:00:00', '2017-09-06 09:00:00', '2017-09-06 12:00:00'], - dtype='datetime64[ns]', name='time1', freq=None))
[2960469 values with dtype=float32]
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', + grid_mapping: LatLon_361X720-0p25S-180p00E
[2960469 values with dtype=float32]
array(['2017-09-05T12:00:00.000000000', '2017-09-05T15:00:00.000000000', '2017-09-05T18:00:00.000000000', '2017-09-05T21:00:00.000000000', '2017-09-06T00:00:00.000000000', '2017-09-06T03:00:00.000000000', '2017-09-06T06:00:00.000000000', '2017-09-06T09:00:00.000000000', - '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
[1 values with dtype=datetime64[ns]]
array([50. , 49.5, 49. , 48.5, 48. , 47.5, 47. , 46.5, 46. , 45.5, 45. , 44.5, + '2017-09-06T12:00:00.000000000'], dtype='datetime64[ns]')
[1 values with dtype=datetime64[ns]]
array([50. , 49.5, 49. , 48.5, 48. , 47.5, 47. , 46.5, 46. , 45.5, 45. , 44.5, 44. , 43.5, 43. , 42.5, 42. , 41.5, 41. , 40.5, 40. , 39.5, 39. , 38.5, 38. , 37.5, 37. , 36.5, 36. , 35.5, 35. , 34.5, 34. , 33.5, 33. , 32.5, 32. , 31.5, 31. , 30.5, 30. , 29.5, 29. , 28.5, 28. , 27.5, 27. , 26.5, 26. , 25.5, 25. , 24.5, 24. , 23.5, 23. , 22.5, 22. , 21.5, 21. , 20.5, 20. , 19.5, 19. , 18.5, 18. , 17.5, 17. , 16.5, 16. , 15.5, 15. , 14.5, - 14. , 13.5, 13. , 12.5, 12. , 11.5, 11. , 10.5, 10. ], dtype=float32)
array([ 100., 200., 300., 500., 700., 1000., 2000., 3000., + 14. , 13.5, 13. , 12.5, 12. , 11.5, 11. , 10.5, 10. ], dtype=float32)
array([ 100., 200., 300., 500., 700., 1000., 2000., 3000., 5000., 7000., 10000., 15000., 20000., 25000., 30000., 35000., 40000., 45000., 50000., 55000., 60000., 65000., 70000., 75000., - 80000., 85000., 90000., 92500., 95000., 97500., 100000.])
array([250. , 250.5, 251. , 251.5, 252. , 252.5, 253. , 253.5, 254. , 254.5, + 80000., 85000., 90000., 92500., 95000., 97500., 100000.])
array([250. , 250.5, 251. , 251.5, 252. , 252.5, 253. , 253.5, 254. , 254.5, 255. , 255.5, 256. , 256.5, 257. , 257.5, 258. , 258.5, 259. , 259.5, 260. , 260.5, 261. , 261.5, 262. , 262.5, 263. , 263.5, 264. , 264.5, 265. , 265.5, 266. , 266.5, 267. , 267.5, 268. , 268.5, 269. , 269.5, @@ -1960,28 +1960,28 @@ the CRS using the ``.assign_crs()`` method: 300. , 300.5, 301. , 301.5, 302. , 302.5, 303. , 303.5, 304. , 304.5, 305. , 305.5, 306. , 306.5, 307. , 307.5, 308. , 308.5, 309. , 309.5, 310. , 310.5, 311. , 311.5, 312. , 312.5, 313. , 313.5, 314. , 314.5, - 315. ], dtype=float32)
array(<metpy.plots.mapping.CFProjection object at 0x7fa55d791850>, - dtype=object)
PandasIndex(DatetimeIndex(['2017-09-05 12:00:00', '2017-09-05 15:00:00', + 315. ], dtype=float32)
array(<metpy.plots.mapping.CFProjection object at 0x7f1db0125d10>, + dtype=object)
PandasIndex(DatetimeIndex(['2017-09-05 12:00:00', '2017-09-05 15:00:00', '2017-09-05 18:00:00', '2017-09-05 21:00:00', '2017-09-06 00:00:00', '2017-09-06 03:00:00', '2017-09-06 06:00:00', '2017-09-06 09:00:00', '2017-09-06 12:00:00'], - dtype='datetime64[ns]', name='time1', freq=None))
PandasIndex(Index([50.0, 49.5, 49.0, 48.5, 48.0, 47.5, 47.0, 46.5, 46.0, 45.5, 45.0, 44.5, + dtype='datetime64[ns]', name='time1', freq=None))
PandasIndex(Index([50.0, 49.5, 49.0, 48.5, 48.0, 47.5, 47.0, 46.5, 46.0, 45.5, 45.0, 44.5, 44.0, 43.5, 43.0, 42.5, 42.0, 41.5, 41.0, 40.5, 40.0, 39.5, 39.0, 38.5, 38.0, 37.5, 37.0, 36.5, 36.0, 35.5, 35.0, 34.5, 34.0, 33.5, 33.0, 32.5, 32.0, 31.5, 31.0, 30.5, 30.0, 29.5, 29.0, 28.5, 28.0, 27.5, 27.0, 26.5, 26.0, 25.5, 25.0, 24.5, 24.0, 23.5, 23.0, 22.5, 22.0, 21.5, 21.0, 20.5, 20.0, 19.5, 19.0, 18.5, 18.0, 17.5, 17.0, 16.5, 16.0, 15.5, 15.0, 14.5, 14.0, 13.5, 13.0, 12.5, 12.0, 11.5, 11.0, 10.5, 10.0], - dtype='float32', name='latitude'))
PandasIndex(Index([ 100.0, 200.0, 300.0, 500.0, 700.0, 1000.0, 2000.0, + dtype='float32', name='latitude'))
PandasIndex(Index([ 100.0, 200.0, 300.0, 500.0, 700.0, 1000.0, 2000.0, 3000.0, 5000.0, 7000.0, 10000.0, 15000.0, 20000.0, 25000.0, 30000.0, 35000.0, 40000.0, 45000.0, 50000.0, 55000.0, 60000.0, 65000.0, 70000.0, 75000.0, 80000.0, 85000.0, 90000.0, 92500.0, 95000.0, 97500.0, 100000.0], - dtype='float64', name='isobaric3'))
PandasIndex(Index([250.0, 250.5, 251.0, 251.5, 252.0, 252.5, 253.0, 253.5, 254.0, 254.5, + dtype='float64', name='isobaric3'))
PandasIndex(Index([250.0, 250.5, 251.0, 251.5, 252.0, 252.5, 253.0, 253.5, 254.0, 254.5, ... 310.5, 311.0, 311.5, 312.0, 312.5, 313.0, 313.5, 314.0, 314.5, 315.0], - dtype='float32', name='longitude', length=131))
array([ 0., 100000., 200000.])
array([ 0., 100000., 200000.])
array(<metpy.plots.mapping.CFProjection object at 0x7fa55d729150>, - dtype=object)
array([[38.5 , 38.49438649, 38.47754859], + temperature (y, x) int64 <Quantity([[0 1 2] [3 4 5] [6 7 8]], 'degree_...
array([ 0., 100000., 200000.])
array([ 0., 100000., 200000.])
array(<metpy.plots.mapping.CFProjection object at 0x7f1dc19bf590>, + dtype=object)
array([[38.5 , 38.49438649, 38.47754859], [39.39925224, 39.39356847, 39.37651982], - [40.29828138, 40.29252697, 40.27526648]])
array([[-97.5 , -96.35096705, -95.20229214], + [40.29828138, 40.29252697, 40.27526648]])
array([[-97.5 , -96.35096705, -95.20229214], [-97.5 , -96.33644176, -95.17325532], - [-97.5 , -96.32154456, -95.14347537]])
Magnitude | [[0 1 2] |
---|---|
Units | degree_Celsius |
PandasIndex(Index([0.0, 100000.0, 200000.0], dtype='float64', name='y'))
PandasIndex(Index([0.0, 100000.0, 200000.0], dtype='float64', name='x'))
Magnitude | [[0 1 2] |
---|---|
Units | degree_Celsius |
PandasIndex(Index([0.0, 100000.0, 200000.0], dtype='float64', name='y'))
PandasIndex(Index([0.0, 100000.0, 200000.0], dtype='float64', name='x'))
Total running time of the script: (0 minutes 0.233 seconds)
+Total running time of the script: (0 minutes 0.217 seconds)
Download Python source code: Advanced_Sounding.py
[<matplotlib.lines.Line2D object at 0x7fa57e411210>]
+[<matplotlib.lines.Line2D object at 0x7f1dc104cb10>]
This layout isn’t bad, especially for how little code it requires,
@@ -905,7 +905,7 @@
plt.show()
Total running time of the script: (0 minutes 0.815 seconds)
+Total running time of the script: (0 minutes 0.821 seconds)
Download Python source code: Advanced_Sounding_With_Complex_Layout.py
Total running time of the script: (0 minutes 9.284 seconds)
+Total running time of the script: (0 minutes 11.257 seconds)
Download Python source code: Four_Panel_Map.py
Total running time of the script: (0 minutes 10.109 seconds)
+Total running time of the script: (0 minutes 12.591 seconds)
Download Python source code: XArray_Projections.py
Total running time of the script: (0 minutes 0.160 seconds)
+Total running time of the script: (0 minutes 0.168 seconds)
Download Python source code: Absolute_Vorticity.py
Total running time of the script: (0 minutes 0.139 seconds)
+Total running time of the script: (0 minutes 0.138 seconds)
Download Python source code: Advection.py
['North', 'North', 'North']
Total running time of the script: (0 minutes 0.004 seconds)
+Total running time of the script: (0 minutes 0.005 seconds)
Download Python source code: Angle_to_Direction.py
(<Quantity(21.9580223, 'knot')>, <Quantity(4.98986292, 'knot')>)
Total running time of the script: (0 minutes 0.010 seconds)
+Total running time of the script: (0 minutes 0.013 seconds)
Download Python source code: Bulk_Shear.py
11.3770989195134 degree_Celsius 52.47877805512405 degree_Fahrenheit
Total running time of the script: (0 minutes 0.005 seconds)
+Total running time of the script: (0 minutes 0.006 seconds)
Download Python source code: Dewpoint_and_Mixing_Ratio.py
Total running time of the script: (0 minutes 0.139 seconds)
+Total running time of the script: (0 minutes 0.145 seconds)
Download Python source code: Divergence.py
Total running time of the script: (0 minutes 0.096 seconds)
+Total running time of the script: (0 minutes 0.088 seconds)
Download Python source code: Equivalent_Potential_Temperature.py
Total running time of the script: (0 minutes 0.014 seconds)
+Total running time of the script: (0 minutes 0.016 seconds)
Download Python source code: Gradient.py
[<Quantity(272.583109, 'kelvin')>]
Total running time of the script: (0 minutes 0.010 seconds)
+Total running time of the script: (0 minutes 0.013 seconds)
Download Python source code: Mean_Pressure_Weighted.py
So as we expect the parcel has warmed and dried out through the combined dry and moist ascent due to the release of latent heat and subsequent precipitating out of moisture from the parcel
-Total running time of the script: (0 minutes 0.006 seconds)
+Total running time of the script: (0 minutes 0.008 seconds)
Download Python source code: Mountain_Problem.py
(<Quantity(45.0, 'degree')>, <Quantity(45.0, 'degree')>, <Quantity(45.0, 'degree')>, <Quantity(45.0, 'degree')>, <Quantity(45.0, 'degree')>)
Total running time of the script: (0 minutes 0.001 seconds)
+Total running time of the script: (0 minutes 0.002 seconds)
Download Python source code: Parse_Angles.py
Total running time of the script: (0 minutes 0.162 seconds)
+Total running time of the script: (0 minutes 0.165 seconds)
Download Python source code: QVector.py
Total running time of the script: (0 minutes 0.158 seconds)
+Total running time of the script: (0 minutes 0.167 seconds)
Download Python source code: Shearing_Deformation.py
Total running time of the script: (0 minutes 0.568 seconds)
+Total running time of the script: (0 minutes 0.637 seconds)
Total running time of the script: (0 minutes 0.263 seconds)
+Total running time of the script: (0 minutes 0.314 seconds)
Download Python source code: Sounding_Calculations.py
print((static_stability(p, T) * (p / Rd)).to('K/Pa'))
[-4.41283219227208e-05 -2.4492777247121155e-05 9.116458268710324e-05 8.845234936113418e-05 6.224860528096752e-05 0.00015314927360383487 0.00019881695313443988 0.00030101997736649576 0.00026111189622417404 0.001085062948164048 0.003740321802149091 0.004248281970347817 0.0036657831964964018 0.0016752453464420483 0.0007380480366923099 0.00019231433878668947 0.0002557493550907393 0.00024017381030490135 0.0010992754328914723 0.000915641843948739 0.00025827670773766095 0.0008820697439592232 0.0003589161178615257 0.0004817507957698896 0.0006973708206233451 0.0006126559385666097 0.00047078968526674726 0.0004870196826060473 0.0004875042540964733 0.0004723683427336631 0.00018331961002751509 0.00014636894085019007 0.00013915628085254793 -0.0015920843524442835 -0.0015653462261827026 9.863194193151853e-05 0.0001579458273752061 0.00041106154962424813 0.00039799924225680105 0.0006038463463312496 0.0032368837310525183 0.004009490876985825 0.0037125198804787668 0.0023375347706963796 0.001366027873753104 0.0012474317985632058 0.0014544559226790695 0.0024234211184320383 0.0033852295736065785 0.00393333469570616 0.0024998389621420955 0.0026161133002877935 0.0025584158650765487 0.0061453098584766585 0.006346575700474026 0.003115891778520376 0.0028392731739860125 0.0018886781873633822 0.0023835929582128146 0.0013562543705426307 0.0011897088702191683 0.004713351681793958 0.0032926213870648154 0.002904873402537745 0.005189222385428262 0.005480289289528526 0.0014028667954945192 0.005193086215585504 0.005625967270339566 0.005397711905806318 0.01000895177150228 0.011789360222267875 0.0027175297861060685] kelvin / pascal
+[-4.412832192334464e-05 -2.449277724743241e-05 9.116458268710324e-05 8.845234936113418e-05 6.224860528096752e-05 0.00015314927360352893 0.00019881695313411532 0.0003010199773665337 0.00026111189622417404 0.001085062948164048 0.0037403218021489384 0.004248281970348124 0.0036657831964967114 0.0016752453464420483 0.0007380480366923099 0.00019231433878668947 0.0002557493550907393 0.00024017381030490135 0.0010992754328866168 0.0009156418439438833 0.00025827670773887395 0.0008820697439593748 0.0003589161178615257 0.0004817507957698896 0.0006973708206233451 0.0006126559385666097 0.00047078968526674726 0.00048701968260597434 0.0004875042540964733 0.0004723683427325029 0.00018331961002751509 0.00014636894085019007 0.00013915628085254793 -0.0015920843524442835 -0.0015653462261827026 9.863194193125203e-05 0.0001579458273746663 0.00041106154962431264 0.00039799924225680105 0.0006038463463312496 0.0032368837310525183 0.004009490876983789 0.003712519880476728 0.0023375347706966346 0.001366027873753104 0.0012474317985632058 0.0014544559226790695 0.0024234211184300538 0.003385229573605462 0.00393333469570616 0.0024998389621420955 0.0026161133002917765 0.0025584158650765487 0.0061453098584766585 0.006346575700474026 0.003115891778520376 0.0028392731739860125 0.0018886781873633822 0.0023835929582128146 0.0013562543705426307 0.0011897088702191683 0.004713351681793958 0.0032926213870685993 0.002904873402541409 0.005189222385428262 0.005480289289528999 0.0014028667954945192 0.005193086215585504 0.005625967270339566 0.005397711905806259 0.010008951771502746 0.01178936022226881 0.0027175297861041976] kelvin / pascal
-Total running time of the script: (0 minutes 0.008 seconds)
+Total running time of the script: (0 minutes 0.010 seconds)
Download Python source code: Static_Stability.py
diff --git a/dev/examples/calculations/Stretching_Deformation.html b/dev/examples/calculations/Stretching_Deformation.html
index 00f3fa8afde..379318326a6 100644
--- a/dev/examples/calculations/Stretching_Deformation.html
+++ b/dev/examples/calculations/Stretching_Deformation.html
@@ -75,7 +75,7 @@
-
+
@@ -605,7 +605,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.158 seconds)
+Total running time of the script: (0 minutes 0.163 seconds)
Download Python source code: Stretching_Deformation.py
diff --git a/dev/examples/calculations/Thickness_Hydrostatic.html b/dev/examples/calculations/Thickness_Hydrostatic.html
index b1122fc629a..a19161672bb 100644
--- a/dev/examples/calculations/Thickness_Hydrostatic.html
+++ b/dev/examples/calculations/Thickness_Hydrostatic.html
@@ -75,7 +75,7 @@
-
+
@@ -620,10 +620,10 @@
-5332.443290591299 meter
+5332.4432905912845 meter
-Total running time of the script: (0 minutes 0.011 seconds)
+Total running time of the script: (0 minutes 0.013 seconds)
Download Python source code: Thickness_Hydrostatic.py
diff --git a/dev/examples/calculations/Total_Deformation.html b/dev/examples/calculations/Total_Deformation.html
index 72a31ce92b6..b24e1a3c59d 100644
--- a/dev/examples/calculations/Total_Deformation.html
+++ b/dev/examples/calculations/Total_Deformation.html
@@ -75,7 +75,7 @@
-
+
@@ -605,7 +605,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.160 seconds)
+Total running time of the script: (0 minutes 0.165 seconds)
Download Python source code: Total_Deformation.py
diff --git a/dev/examples/calculations/Vorticity.html b/dev/examples/calculations/Vorticity.html
index 67dc80615c9..fe1b3ec2a12 100644
--- a/dev/examples/calculations/Vorticity.html
+++ b/dev/examples/calculations/Vorticity.html
@@ -75,7 +75,7 @@
-
+
@@ -605,7 +605,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.160 seconds)
+Total running time of the script: (0 minutes 0.166 seconds)
Download Python source code: Vorticity.py
diff --git a/dev/examples/calculations/Wind_Speed.html b/dev/examples/calculations/Wind_Speed.html
index 798a571cc97..ca1d0088542 100644
--- a/dev/examples/calculations/Wind_Speed.html
+++ b/dev/examples/calculations/Wind_Speed.html
@@ -75,7 +75,7 @@
-
+
@@ -605,7 +605,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.129 seconds)
+Total running time of the script: (0 minutes 0.132 seconds)
Download Python source code: Wind_Speed.py
diff --git a/dev/examples/calculations/index.html b/dev/examples/calculations/index.html
index 1316502e7c4..1562e6b3f47 100644
--- a/dev/examples/calculations/index.html
+++ b/dev/examples/calculations/index.html
@@ -75,7 +75,7 @@
-
+
diff --git a/dev/examples/calculations/sg_execution_times.html b/dev/examples/calculations/sg_execution_times.html
index 0045b1747c9..a2d5af87537 100644
--- a/dev/examples/calculations/sg_execution_times.html
+++ b/dev/examples/calculations/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -487,91 +487,91 @@
Computation times#
-00:02.362 total execution time for examples_calculations files:
+00:02.533 total execution time for examples_calculations files:
Smoothing (Smoothing.py
)
-00:00.568
+00:00.637
0.0 MB
Sounding Calculation Examples (Sounding_Calculations.py
)
-00:00.263
+00:00.314
0.0 MB
-Q-Vector (QVector.py
)
-00:00.162
+Absolute Vorticity (Absolute_Vorticity.py
)
+00:00.168
0.0 MB
-Absolute Vorticity (Absolute_Vorticity.py
)
-00:00.160
+Shearing Deformation (Shearing_Deformation.py
)
+00:00.167
0.0 MB
-Total Deformation (Total_Deformation.py
)
-00:00.160
+Vorticity (Vorticity.py
)
+00:00.166
0.0 MB
-Vorticity (Vorticity.py
)
-00:00.160
+Total Deformation (Total_Deformation.py
)
+00:00.165
0.0 MB
-Shearing Deformation (Shearing_Deformation.py
)
-00:00.158
+Q-Vector (QVector.py
)
+00:00.165
0.0 MB
Stretching Deformation (Stretching_Deformation.py
)
-00:00.158
+00:00.163
0.0 MB
-Advection (Advection.py
)
-00:00.139
+Divergence (Divergence.py
)
+00:00.145
0.0 MB
-Divergence (Divergence.py
)
-00:00.139
+Advection (Advection.py
)
+00:00.138
0.0 MB
Wind Speed (Wind_Speed.py
)
-00:00.129
+00:00.132
0.0 MB
Equivalent Potential Temperature (Equivalent_Potential_Temperature.py
)
-00:00.096
+00:00.088
0.0 MB
Gradient (Gradient.py
)
-00:00.014
+00:00.016
0.0 MB
-Hydrostatic Thickness (Thickness_Hydrostatic.py
)
-00:00.011
+Bulk Shear (Bulk_Shear.py
)
+00:00.013
0.0 MB
-Bulk Shear (Bulk_Shear.py
)
-00:00.010
+Hydrostatic Thickness (Thickness_Hydrostatic.py
)
+00:00.013
0.0 MB
Mean Pressure Weighted (Mean_Pressure_Weighted.py
)
-00:00.010
+00:00.013
0.0 MB
Static Stability (Static_Stability.py
)
-00:00.008
+00:00.010
0.0 MB
Mountain Problem (Mountain_Problem.py
)
-00:00.006
+00:00.008
0.0 MB
Dewpoint and Mixing Ratio (Dewpoint_and_Mixing_Ratio.py
)
-00:00.005
+00:00.006
0.0 MB
Angle to Direction (Angle_to_Direction.py
)
-00:00.004
+00:00.005
0.0 MB
Parse angles (Parse_Angles.py
)
-00:00.001
+00:00.002
0.0 MB
diff --git a/dev/examples/cross_section.html b/dev/examples/cross_section.html
index 046ef5f5f1d..fbc9ad6725f 100644
--- a/dev/examples/cross_section.html
+++ b/dev/examples/cross_section.html
@@ -75,7 +75,7 @@
-
+
@@ -803,7 +803,7 @@
Note: The x-axis can display any variable that is the same length as the
plotted variables, including latitude. Additionally, arguments can be provided
to ax.set_xticklabels
to label lat/lon pairs, similar to the default NCL output.
-Total running time of the script: (0 minutes 4.962 seconds)
+Total running time of the script: (0 minutes 6.202 seconds)
Download Python source code: cross_section.py
diff --git a/dev/examples/formats/GINI_Water_Vapor.html b/dev/examples/formats/GINI_Water_Vapor.html
index 7bb422d4a66..d47cba13275 100644
--- a/dev/examples/formats/GINI_Water_Vapor.html
+++ b/dev/examples/formats/GINI_Water_Vapor.html
@@ -75,7 +75,7 @@
-
+
@@ -631,7 +631,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.922 seconds)
+Total running time of the script: (0 minutes 1.151 seconds)
Download Python source code: GINI_Water_Vapor.py
diff --git a/dev/examples/formats/NEXRAD_Level_2_File.html b/dev/examples/formats/NEXRAD_Level_2_File.html
index 35f17f77e74..6ae4abc8910 100644
--- a/dev/examples/formats/NEXRAD_Level_2_File.html
+++ b/dev/examples/formats/NEXRAD_Level_2_File.html
@@ -75,7 +75,7 @@
-
+
@@ -669,7 +669,7 @@
plt.show()
-Total running time of the script: (0 minutes 5.573 seconds)
+Total running time of the script: (0 minutes 7.071 seconds)
Download Python source code: NEXRAD_Level_2_File.py
diff --git a/dev/examples/formats/NEXRAD_Level_3_File.html b/dev/examples/formats/NEXRAD_Level_3_File.html
index b2d1bef633c..b11a07c718f 100644
--- a/dev/examples/formats/NEXRAD_Level_3_File.html
+++ b/dev/examples/formats/NEXRAD_Level_3_File.html
@@ -75,7 +75,7 @@
-
+
@@ -633,7 +633,7 @@
plt.show()
-Total running time of the script: (0 minutes 1.917 seconds)
+Total running time of the script: (0 minutes 2.403 seconds)
Download Python source code: NEXRAD_Level_3_File.py
diff --git a/dev/examples/formats/index.html b/dev/examples/formats/index.html
index f0c7fb3ea99..8319e042fbb 100644
--- a/dev/examples/formats/index.html
+++ b/dev/examples/formats/index.html
@@ -75,7 +75,7 @@
-
+
diff --git a/dev/examples/formats/sg_execution_times.html b/dev/examples/formats/sg_execution_times.html
index dacb0d65f23..64f3c48ce29 100644
--- a/dev/examples/formats/sg_execution_times.html
+++ b/dev/examples/formats/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -487,19 +487,19 @@
Computation times#
-00:08.412 total execution time for examples_formats files:
+00:10.625 total execution time for examples_formats files:
NEXRAD Level 2 File (NEXRAD_Level_2_File.py
)
-00:05.573
+00:07.071
0.0 MB
NEXRAD Level 3 File (NEXRAD_Level_3_File.py
)
-00:01.917
+00:02.403
0.0 MB
GINI Water Vapor Imagery (GINI_Water_Vapor.py
)
-00:00.922
+00:01.151
0.0 MB
diff --git a/dev/examples/gridding/Find_Natural_Neighbors_Verification.html b/dev/examples/gridding/Find_Natural_Neighbors_Verification.html
index b9a2cf49a54..567a306515c 100644
--- a/dev/examples/gridding/Find_Natural_Neighbors_Verification.html
+++ b/dev/examples/gridding/Find_Natural_Neighbors_Verification.html
@@ -75,7 +75,7 @@
-
+
@@ -639,7 +639,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.351 seconds)
+Total running time of the script: (0 minutes 0.372 seconds)
Download Python source code: Find_Natural_Neighbors_Verification.py
diff --git a/dev/examples/gridding/Inverse_Distance_Verification.html b/dev/examples/gridding/Inverse_Distance_Verification.html
index 62db22d72c6..05955368db1 100644
--- a/dev/examples/gridding/Inverse_Distance_Verification.html
+++ b/dev/examples/gridding/Inverse_Distance_Verification.html
@@ -75,7 +75,7 @@
-
+
@@ -675,7 +675,7 @@
ax.legend()
-<matplotlib.legend.Legend object at 0x7fa57c44c490>
+<matplotlib.legend.Legend object at 0x7f1dc17cd850>
For each point, we will do a manual check of the interpolation values by doing a step by
@@ -764,7 +764,7 @@
Metpy barnes value: 4.112066483188547
-Total running time of the script: (0 minutes 0.435 seconds)
+Total running time of the script: (0 minutes 0.418 seconds)
Download Python source code: Inverse_Distance_Verification.py
diff --git a/dev/examples/gridding/Natural_Neighbor_Verification.html b/dev/examples/gridding/Natural_Neighbor_Verification.html
index 089a1ea4616..bc880ad8158 100644
--- a/dev/examples/gridding/Natural_Neighbor_Verification.html
+++ b/dev/examples/gridding/Natural_Neighbor_Verification.html
@@ -75,7 +75,7 @@
-
+
@@ -697,7 +697,7 @@
ax.legend()
-<matplotlib.legend.Legend object at 0x7fa57e384490>
+<matplotlib.legend.Legend object at 0x7f1dc0ed9610>
What?….the circle from triangle 8 looks pretty darn close. Why isn’t
@@ -839,7 +839,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.505 seconds)
+Total running time of the script: (0 minutes 0.504 seconds)
Download Python source code: Natural_Neighbor_Verification.py
diff --git a/dev/examples/gridding/Point_Interpolation.html b/dev/examples/gridding/Point_Interpolation.html
index d757e285210..570132c7089 100644
--- a/dev/examples/gridding/Point_Interpolation.html
+++ b/dev/examples/gridding/Point_Interpolation.html
@@ -75,7 +75,7 @@
-
+
@@ -652,7 +652,7 @@ Scipy.interpolate linearfig.colorbar(mmb, shrink=.4, pad=0, boundaries=levels)
-<matplotlib.colorbar.Colorbar object at 0x7fa57e443350>
+<matplotlib.colorbar.Colorbar object at 0x7f1dc3e551d0>
@@ -666,7 +666,7 @@ Natural neighbor interpolation (MetPy implementation)fig.colorbar(mmb, shrink=.4, pad=0, boundaries=levels)
-<matplotlib.colorbar.Colorbar object at 0x7fa57e488210>
+<matplotlib.colorbar.Colorbar object at 0x7f1db2e5df90>
@@ -683,7 +683,7 @@ Cressman interpolationfig.colorbar(mmb, shrink=.4, pad=0, boundaries=levels)
-<matplotlib.colorbar.Colorbar object at 0x7fa57e2e5bd0>
+<matplotlib.colorbar.Colorbar object at 0x7f1dc0f30bd0>
@@ -699,7 +699,7 @@ Barnes Interpolationfig.colorbar(mmb, shrink=.4, pad=0, boundaries=levels)
-<matplotlib.colorbar.Colorbar object at 0x7fa57d1aba90>
+<matplotlib.colorbar.Colorbar object at 0x7f1dc104d610>
@@ -716,7 +716,7 @@ Radial basis function interpolationplt.show()
-Total running time of the script: (0 minutes 5.499 seconds)
+Total running time of the script: (0 minutes 6.024 seconds)
Download Python source code: Point_Interpolation.py
diff --git a/dev/examples/gridding/Wind_SLP_Interpolation.html b/dev/examples/gridding/Wind_SLP_Interpolation.html
index c22cd69949b..9d3bfbe3e05 100644
--- a/dev/examples/gridding/Wind_SLP_Interpolation.html
+++ b/dev/examples/gridding/Wind_SLP_Interpolation.html
@@ -75,7 +75,7 @@
-
+
@@ -680,7 +680,7 @@
plt.show()
-Total running time of the script: (0 minutes 12.146 seconds)
+Total running time of the script: (0 minutes 14.922 seconds)
Download Python source code: Wind_SLP_Interpolation.py
diff --git a/dev/examples/gridding/index.html b/dev/examples/gridding/index.html
index bad706c5995..935fbfc2f27 100644
--- a/dev/examples/gridding/index.html
+++ b/dev/examples/gridding/index.html
@@ -75,7 +75,7 @@
-
+
diff --git a/dev/examples/gridding/sg_execution_times.html b/dev/examples/gridding/sg_execution_times.html
index a2c15734450..9ad89e2fa49 100644
--- a/dev/examples/gridding/sg_execution_times.html
+++ b/dev/examples/gridding/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -487,27 +487,27 @@
Computation times#
-00:18.936 total execution time for examples_gridding files:
+00:22.241 total execution time for examples_gridding files:
Wind and Sea Level Pressure Interpolation (Wind_SLP_Interpolation.py
)
-00:12.146
+00:14.922
0.0 MB
Point Interpolation (Point_Interpolation.py
)
-00:05.499
+00:06.024
0.0 MB
Natural Neighbor Verification (Natural_Neighbor_Verification.py
)
-00:00.505
+00:00.504
0.0 MB
Inverse Distance Verification: Cressman and Barnes (Inverse_Distance_Verification.py
)
-00:00.435
+00:00.418
0.0 MB
Find Natural Neighbors Verification (Find_Natural_Neighbors_Verification.py
)
-00:00.351
+00:00.372
0.0 MB
diff --git a/dev/examples/index.html b/dev/examples/index.html
index ccb3f89706b..5e961469ad2 100644
--- a/dev/examples/index.html
+++ b/dev/examples/index.html
@@ -75,7 +75,7 @@
-
+
diff --git a/dev/examples/isentropic_example.html b/dev/examples/isentropic_example.html
index 0ba4f04ba90..c97984d50d0 100644
--- a/dev/examples/isentropic_example.html
+++ b/dev/examples/isentropic_example.html
@@ -76,7 +76,7 @@
-
+
@@ -1018,7 +1018,7 @@
u_wind (isentropic_level, y, x) float64 <Quantity([[[-1.319...
v_wind (isentropic_level, y, x) float64 <Quantity([[[ 0.064...
Specific_humidity (isentropic_level, y, x) float64 <Quantity([[[0.0088...
- Geopotential_height (isentropic_level, y, x) float64 <Quantity([[[1063.6...xarray.Dataset- isentropic_level: 1
- y: 118
- x: 292
- isentropic_level(isentropic_level)float64296.0
- units :
- kelvin
- positive :
- up
array([296.])
- time()datetime64[ns]1987-04-04T18:00:00
- long_name :
- forecast time
- _CoordinateAxisType :
- Time
- _metpy_axis :
- time
array('1987-04-04T18:00:00.000000000', dtype='datetime64[ns]')
- y(y)float64-3.087e+03 -3.054e+03 ... 711.4
- units :
- km
- long_name :
- y coordinate of projection
- standard_name :
- projection_y_coordinate
- grid_spacing :
- 32.463 km
- _CoordinateAxisType :
- GeoY
- _metpy_axis :
- y
array([-3.086806e+03, -3.054343e+03, -3.021880e+03, -2.989417e+03,
+ Geopotential_height (isentropic_level, y, x) float64 <Quantity([[[1063.6...
xarray.Dataset- isentropic_level: 1
- y: 118
- x: 292
- isentropic_level(isentropic_level)float64296.0
- units :
- kelvin
- positive :
- up
array([296.])
- time()datetime64[ns]1987-04-04T18:00:00
- long_name :
- forecast time
- _CoordinateAxisType :
- Time
- _metpy_axis :
- time
array('1987-04-04T18:00:00.000000000', dtype='datetime64[ns]')
- y(y)float64-3.087e+03 -3.054e+03 ... 711.4
- units :
- km
- long_name :
- y coordinate of projection
- standard_name :
- projection_y_coordinate
- grid_spacing :
- 32.463 km
- _CoordinateAxisType :
- GeoY
- _metpy_axis :
- y
array([-3.086806e+03, -3.054343e+03, -3.021880e+03, -2.989417e+03,
-2.956954e+03, -2.924491e+03, -2.892028e+03, -2.859565e+03,
-2.827102e+03, -2.794639e+03, -2.762176e+03, -2.729713e+03,
-2.697250e+03, -2.664787e+03, -2.632324e+03, -2.599861e+03,
@@ -1047,8 +1047,8 @@
2.893464e+02, 3.218094e+02, 3.542724e+02, 3.867354e+02,
4.191984e+02, 4.516614e+02, 4.841244e+02, 5.165874e+02,
5.490504e+02, 5.815134e+02, 6.139764e+02, 6.464394e+02,
- 6.789024e+02, 7.113654e+02])
- x(x)float64-3.977e+03 -3.945e+03 ... 5.47e+03
- units :
- km
- long_name :
- x coordinate of projection
- standard_name :
- projection_x_coordinate
- grid_spacing :
- 32.463 km
- _CoordinateAxisType :
- GeoX
- _metpy_axis :
- x
array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136,
- 5437.215136, 5469.678136])
- lat(y, x)float64...
- units :
- degrees_north
- long_name :
- latitude coordinate
- standard_name :
- latitude
- _CoordinateAxisType :
- Lat
- _metpy_axis :
- latitude
[34456 values with dtype=float64]
- lon(y, x)float64...
- units :
- degrees_east
- long_name :
- longitude coordinate
- standard_name :
- longitude
- _CoordinateAxisType :
- Lon
- _metpy_axis :
- longitude
[34456 values with dtype=float64]
- pressure(isentropic_level, y, x)float64<Quantity([[[900.34124661 900.62...
- standard_name :
- air_pressure
Magnitude [[[900.3412466141666 900.6282002263883 902.6954128823945 ... nan nan nan]
[898.7657927677703 899.3957330451849 901.1369631046779 ... nan nan nan]
[893.4104553118616 894.6623958512805 896.9688329797301 ... nan nan nan]
...
[582.3629328442938 575.0471009518434 567.6847140894419 ...
802.8899086222864 803.7246159207159 804.6379705007769]
[578.6096930396801 570.8991740469492 563.2216412523484 ...
805.1512754403952 804.8142480497339 806.6181326510635]
[574.5889551269233 566.5030728802834 558.5810569436891 ...
806.337127284374 805.6222086748181 802.7520376016056]]]
Units hectopascal
- temperature(isentropic_level, y, x)float64<Quantity([[[287.25340245 287.27...
- standard_name :
- air_temperature
Magnitude [[[287.25340245256615 287.2795573040488 287.4678010688309 ... nan nan
nan]
[287.10969897713835 287.16717993275586 287.32591469161804 ... nan nan
nan]
[286.61986771514216 286.73456514566794 286.94557123352325 ... nan nan
nan]
...
[253.63209195921524 252.717632787544 251.78892602876513 ...
278.003694857879 278.0862415261764 278.1764957251152]
[253.16397872663083 252.19545647830967 251.22174909805472 ...
278.2271864365298 278.19390637133625 278.37191674895575]
[252.66008992959777 251.63907141231874 250.628598944255 ...
278.34420537550375 278.27367248968466 277.9900544878668]]]
Units kelvin
- u_wind(isentropic_level, y, x)float64<Quantity([[[-1.31929409e+01 -1....
- units :
- m/s
- long_name :
- u_wind @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- u_wind
- GRIB_param_short_name :
- UGRD
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 33
- GRIB_param_id :
- [ 1 7 131 33]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
Magnitude [[[-13.192940863873579 -13.65521105416572 -13.558986233473753 ... nan
nan nan]
[-13.154258338549946 -12.98898740158556 -13.336929044329297 ... nan
nan nan]
[-12.389387286673664 -12.847664967104013 -12.39843211370755 ... nan
nan nan]
...
[16.320100145853562 16.248921495708423 16.27194989717565 ...
0.43525579995775154 0.4346660048174416 0.7816840383266616]
[15.922591200947153 15.982942665930192 16.393562189156018 ...
-0.32284152376445374 -0.008841481805421963 -0.713418414296644]
[15.44181947114877 16.037097609603688 16.108870219801382 ...
-1.6896393580322255 -1.4068366627204874 -0.6618929663249936]]]
Units meter/second
- v_wind(isentropic_level, y, x)float64<Quantity([[[ 0.06423312 0.0747...
- units :
- m/s
- long_name :
- v_wind @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- v_wind
- GRIB_param_short_name :
- VGRD
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 34
- GRIB_param_id :
- [ 1 7 131 34]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
Magnitude [[[0.06423312212716725 0.07479514517840302 -0.16838919556261756 ... nan
nan nan]
[1.1180292752741479 2.250400198749113 1.09121576156247 ... nan nan nan]
[2.86035077803406 1.8788880201288263 2.9904647623598932 ... nan nan
nan]
...
[9.61300257672279 9.179177276496405 8.184948214882459 ...
-3.193627618337275 -3.2024544913787394 -2.7355462054862016]
[9.729327578400945 8.739680329084148 8.594322262130628 ...
-2.9011261628292413 -2.4743690966545935 -1.4870536737766273]
[9.750396540416503 9.148816761411762 8.764094179929574 ...
-1.6580673585775016 -1.2225487839300855 -1.4803113138672654]]]
Units meter/second
- Specific_humidity(isentropic_level, y, x)float64<Quantity([[[0.00884235 0.008867...
- units :
- kg/kg
- long_name :
- Specific_humidity @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Specific_humidity
- GRIB_param_short_name :
- SPFH
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 51
- GRIB_param_id :
- [ 1 7 131 51]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
Magnitude [[[0.008842348434263451 0.008867832268411289 0.008968565810944646 ...
nan nan nan]
[0.008817476631944828 0.008827154165882183 0.008907068600540524 ...
nan nan nan]
[0.008702820998113198 0.008732749531454769 0.00879103717829932 ... nan
nan nan]
...
[0.0011029793308478734 0.001015732765712061 0.0009286300454721744 ...
0.00512211463389555 0.005146296653073053 0.005172386155577593]
[0.0010581905576279396 0.0009681548405628524 0.0008815840993866111 ...
0.005132649195315607 0.005147182989988019 0.005189398218805244]
[0.0010114271531914936 0.0009211118186668137 0.0008354252304436883 ...
0.005119733826822016 0.0051194957281872145 0.005091090654842702]]]
Units dimensionless
- Geopotential_height(isentropic_level, y, x)float64<Quantity([[[1063.66065133 1061....
- units :
- gpm
- long_name :
- Geopotential_height @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Geopotential_height
- GRIB_param_short_name :
- HGT
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 7
- GRIB_param_id :
- [ 1 7 131 7]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
Magnitude [[[1063.6606513260513 1061.4421473443042 1041.4938116153148 ... nan nan
nan]
[1079.478028125831 1073.556038742922 1057.65625580821 ... nan nan nan]
[1130.3143074681877 1119.0241948332116 1097.3894374693677 ... nan nan
nan]
...
[4295.995558709708 4389.615879082378 4484.595154991587 ...
1937.4693639478376 1928.4660956108726 1918.677476615039]
[4337.046065967439 4436.491575694289 4536.385003616522 ...
1914.4659073478065 1916.8617994669883 1898.00906942551]
[4381.873356400557 4486.902635937249 4590.036687709444 ...
1902.9080146834517 1909.1451375862387 1937.4070179509758]]]
Units meter
- isentropic_levelPandasIndex
PandasIndex(Index([296.0], dtype='float64', name='isentropic_level'))
- yPandasIndex
PandasIndex(Index([-3086.8056464496035, -3054.3426464496033, -3021.8796464496036,
+ 6.789024e+02, 7.113654e+02])
- x(x)float64-3.977e+03 -3.945e+03 ... 5.47e+03
- units :
- km
- long_name :
- x coordinate of projection
- standard_name :
- projection_x_coordinate
- grid_spacing :
- 32.463 km
- _CoordinateAxisType :
- GeoX
- _metpy_axis :
- x
array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136,
+ 5437.215136, 5469.678136])
- lat(y, x)float64...
- units :
- degrees_north
- long_name :
- latitude coordinate
- standard_name :
- latitude
- _CoordinateAxisType :
- Lat
- _metpy_axis :
- latitude
[34456 values with dtype=float64]
- lon(y, x)float64...
- units :
- degrees_east
- long_name :
- longitude coordinate
- standard_name :
- longitude
- _CoordinateAxisType :
- Lon
- _metpy_axis :
- longitude
[34456 values with dtype=float64]
- pressure(isentropic_level, y, x)float64<Quantity([[[900.34124661 900.62...
- standard_name :
- air_pressure
Magnitude [[[900.3412466141666 900.6282002263883 902.6954128823937 ... nan nan nan]
[898.7657927677702 899.3957330451857 901.1369631046779 ... nan nan nan]
[893.4104553118616 894.6623958512797 896.9688329797293 ... nan nan nan]
...
[582.3629328442938 575.0471009518418 567.6847140894429 ...
802.8899086222863 803.7246159207166 804.6379705007769]
[578.6096930396795 570.8991740469493 563.2216412523484 ...
805.1512754403924 804.8142480497339 806.6181326510634]
[574.5889551269235 566.503072880283 558.5810569436891 ...
806.337127284374 805.6222086748181 802.7520376016056]]]
Units hectopascal
- temperature(isentropic_level, y, x)float64<Quantity([[[287.25340245 287.27...
- standard_name :
- air_temperature
Magnitude [[[287.25340245256615 287.2795573040488 287.46780106883085 ... nan nan
nan]
[287.10969897713835 287.16717993275597 287.32591469161804 ... nan nan
nan]
[286.61986771514216 286.7345651456679 286.9455712335232 ... nan nan
nan]
...
[253.63209195921527 252.71763278754386 251.78892602876527 ...
278.003694857879 278.0862415261765 278.1764957251152]
[253.16397872663077 252.19545647830967 251.22174909805474 ...
278.22718643652956 278.19390637133625 278.37191674895575]
[252.6600899295978 251.63907141231874 250.62859894425503 ...
278.34420537550375 278.27367248968466 277.9900544878668]]]
Units kelvin
- u_wind(isentropic_level, y, x)float64<Quantity([[[-1.31929409e+01 -1....
- units :
- m/s
- long_name :
- u_wind @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- u_wind
- GRIB_param_short_name :
- UGRD
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 33
- GRIB_param_id :
- [ 1 7 131 33]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
Magnitude [[[-13.192940863873584 -13.655211054165733 -13.558986233473757 ... nan
nan nan]
[-13.154258338549946 -12.988987401585526 -13.336929044329308 ... nan
nan nan]
[-12.389387286673665 -12.84766496710399 -12.39843211370755 ... nan nan
nan]
...
[16.320100145853495 16.248921495708363 16.271949897175634 ...
0.43525579995775154 0.4346660048174416 0.7816840383266616]
[15.922591200947092 15.982942665930146 16.393562189155983 ...
-0.32284152376445374 -0.008841481805421963 -0.713418414296644]
[15.441819471148744 16.037097609603688 16.108870219801343 ...
-1.6896393580322255 -1.4068366627204874 -0.6618929663249936]]]
Units meter/second
- v_wind(isentropic_level, y, x)float64<Quantity([[[ 0.06423312 0.0747...
- units :
- m/s
- long_name :
- v_wind @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- v_wind
- GRIB_param_short_name :
- VGRD
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 34
- GRIB_param_id :
- [ 1 7 131 34]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
Magnitude [[[0.0642331221271153 0.07479514517833352 -0.1683891955627046 ... nan
nan nan]
[1.1180292752741479 2.250400198749027 1.0912157615624087 ... nan nan
nan]
[2.86035077803403 1.8788880201287645 2.9904647623598932 ... nan nan
nan]
...
[9.613002576722808 9.17917727649642 8.184948214882462 ...
-3.193627618337275 -3.2024544913787394 -2.7355462054862016]
[9.72932757840096 8.739680329084159 8.594322262130637 ...
-2.9011261628292413 -2.4743690966545935 -1.4870536737766273]
[9.75039654041651 9.148816761411762 8.764094179929586 ...
-1.6580673585775016 -1.2225487839300855 -1.4803113138672654]]]
Units meter/second
- Specific_humidity(isentropic_level, y, x)float64<Quantity([[[0.00884235 0.008867...
- units :
- kg/kg
- long_name :
- Specific_humidity @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Specific_humidity
- GRIB_param_short_name :
- SPFH
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 51
- GRIB_param_id :
- [ 1 7 131 51]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
Magnitude [[[0.008842348434263434 0.00886783226841127 0.008968565810944629 ... nan
nan nan]
[0.008817476631944828 0.008827154165882166 0.008907068600540507 ...
nan nan nan]
[0.00870282099811319 0.008732749531454758 0.00879103717829932 ... nan
nan nan]
...
[0.0011029793308478778 0.0010157327657120657 0.0009286300454721762 ...
0.00512211463389555 0.005146296653073053 0.005172386155577593]
[0.001058190557627944 0.0009681548405628573 0.000881584099386615 ...
0.005132649195315607 0.005147182989988019 0.005189398218805244]
[0.001011427153191496 0.0009211118186668137 0.000835425230443694 ...
0.005119733826822016 0.0051194957281872145 0.005091090654842702]]]
Units dimensionless
- Geopotential_height(isentropic_level, y, x)float64<Quantity([[[1063.66065133 1061....
- units :
- gpm
- long_name :
- Geopotential_height @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Geopotential_height
- GRIB_param_short_name :
- HGT
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 7
- GRIB_param_id :
- [ 1 7 131 7]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
Magnitude [[[1063.6606513260613 1061.4421473443138 1041.4938116153235 ... nan nan
nan]
[1079.478028125831 1073.5560387429325 1057.6562558082187 ... nan nan
nan]
[1130.3143074681943 1119.0241948332189 1097.3894374693677 ... nan nan
nan]
...
[4295.995558709697 4389.615879082366 4484.595154991583 ...
1937.4693639478376 1928.4660956108726 1918.677476615039]
[4337.046065967427 4436.491575694276 4536.385003616513 ...
1914.4659073478065 1916.8617994669883 1898.00906942551]
[4381.8733564005515 4486.902635937249 4590.03668770943 ...
1902.9080146834517 1909.1451375862387 1937.4070179509758]]]
Units meter
- isentropic_levelPandasIndex
PandasIndex(Index([296.0], dtype='float64', name='isentropic_level'))
- yPandasIndex
PandasIndex(Index([-3086.8056464496035, -3054.3426464496033, -3021.8796464496036,
-2989.4166464496034, -2956.953646449603, -2924.4906464496034,
-2892.0276464496037, -2859.5646464496035, -2827.1016464496033,
-2794.6386464496036,
@@ -1057,7 +1057,7 @@
516.587353550397, 549.0503535503967, 581.5133535503965,
613.9763535503971, 646.4393535503968, 678.9023535503966,
711.3653535503963],
- dtype='float64', name='y', length=118))
- xPandasIndex
PandasIndex(Index([ -3977.054863757302, -3944.5918637573022, -3912.1288637573025,
+ dtype='float64', name='y', length=118))
- xPandasIndex
PandasIndex(Index([ -3977.054863757302, -3944.5918637573022, -3912.1288637573025,
-3879.6658637573023, -3847.202863757302, -3814.7398637573024,
-3782.276863757302, -3749.813863757302, -3717.3508637573022,
-3684.8878637573025,
@@ -1066,7 +1066,7 @@
5274.900136242699, 5307.363136242699, 5339.826136242698,
5372.289136242698, 5404.752136242698, 5437.215136242698,
5469.678136242697],
- dtype='float64', name='x', length=292))
+ dtype='float64', name='x', length=292))
Note that the units on our wind variables are not ideal for plotting. Instead, let us
@@ -1180,7 +1180,7 @@
plt.show()
-
Total running time of the script: (0 minutes 10.740 seconds)
+Total running time of the script: (0 minutes 13.318 seconds)
Download Python source code: isentropic_example.py
diff --git a/dev/examples/meteogram_metpy.html b/dev/examples/meteogram_metpy.html
index 66b3518ede7..eee49ebe603 100644
--- a/dev/examples/meteogram_metpy.html
+++ b/dev/examples/meteogram_metpy.html
@@ -75,7 +75,7 @@
-
+
@@ -787,7 +787,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.700 seconds)
+Total running time of the script: (0 minutes 0.896 seconds)
Download Python source code: meteogram_metpy.py
diff --git a/dev/examples/plots/Combined_plotting.html b/dev/examples/plots/Combined_plotting.html
index d2b17b826f5..9a34860955d 100644
--- a/dev/examples/plots/Combined_plotting.html
+++ b/dev/examples/plots/Combined_plotting.html
@@ -75,7 +75,7 @@
-
+
@@ -619,7 +619,7 @@
pc.show()
-Total running time of the script: (0 minutes 6.702 seconds)
+Total running time of the script: (0 minutes 7.422 seconds)
Download Python source code: Combined_plotting.py
diff --git a/dev/examples/plots/Hodograph_Inset.html b/dev/examples/plots/Hodograph_Inset.html
index 55e98ef960b..6537a16ff46 100644
--- a/dev/examples/plots/Hodograph_Inset.html
+++ b/dev/examples/plots/Hodograph_Inset.html
@@ -75,7 +75,7 @@
-
+
@@ -644,7 +644,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.268 seconds)
+Total running time of the script: (0 minutes 0.257 seconds)
Download Python source code: Hodograph_Inset.py
diff --git a/dev/examples/plots/Mesonet_Stationplot.html b/dev/examples/plots/Mesonet_Stationplot.html
index 1969009fc22..c915c27417e 100644
--- a/dev/examples/plots/Mesonet_Stationplot.html
+++ b/dev/examples/plots/Mesonet_Stationplot.html
@@ -75,7 +75,7 @@
-
+
@@ -675,7 +675,7 @@ Create the figureplt.show()
-Total running time of the script: (0 minutes 13.847 seconds)
+Total running time of the script: (0 minutes 16.968 seconds)
Download Python source code: Mesonet_Stationplot.py
diff --git a/dev/examples/plots/Plotting_Surface_Analysis.html b/dev/examples/plots/Plotting_Surface_Analysis.html
index c22e35176ca..d954a019fca 100644
--- a/dev/examples/plots/Plotting_Surface_Analysis.html
+++ b/dev/examples/plots/Plotting_Surface_Analysis.html
@@ -75,7 +75,7 @@
-
+
@@ -644,7 +644,7 @@
plt.show()
-Total running time of the script: (0 minutes 7.171 seconds)
+Total running time of the script: (0 minutes 7.649 seconds)
Download Python source code: Plotting_Surface_Analysis.py
diff --git a/dev/examples/plots/Simple_Fronts_Plot.html b/dev/examples/plots/Simple_Fronts_Plot.html
index 7e2ab0244e2..dc707456f77 100644
--- a/dev/examples/plots/Simple_Fronts_Plot.html
+++ b/dev/examples/plots/Simple_Fronts_Plot.html
@@ -75,7 +75,7 @@
-
+
@@ -606,7 +606,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.134 seconds)
+Total running time of the script: (0 minutes 0.120 seconds)
Download Python source code: Simple_Fronts_Plot.py
diff --git a/dev/examples/plots/Simple_Sounding.html b/dev/examples/plots/Simple_Sounding.html
index 99da6588502..d931b8a7e8a 100644
--- a/dev/examples/plots/Simple_Sounding.html
+++ b/dev/examples/plots/Simple_Sounding.html
@@ -75,7 +75,7 @@
-
+
@@ -639,7 +639,7 @@
add_metpy_logo(fig, 115, 100)
-<matplotlib.image.FigureImage object at 0x7fa57d18b9d0>
+<matplotlib.image.FigureImage object at 0x7f1dc40cb390>
# Example of defining your own vertical barb spacing
@@ -677,7 +677,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.425 seconds)
+Total running time of the script: (0 minutes 0.393 seconds)
Download Python source code: Simple_Sounding.py
diff --git a/dev/examples/plots/Simplified_Image_Plot.html b/dev/examples/plots/Simplified_Image_Plot.html
index edc582b95d7..9465b2e7a3a 100644
--- a/dev/examples/plots/Simplified_Image_Plot.html
+++ b/dev/examples/plots/Simplified_Image_Plot.html
@@ -75,7 +75,7 @@
-
+
@@ -607,7 +607,7 @@
pc.show()
-Total running time of the script: (0 minutes 0.544 seconds)
+Total running time of the script: (0 minutes 0.692 seconds)
Download Python source code: Simplified_Image_Plot.py
diff --git a/dev/examples/plots/Skew-T_Layout.html b/dev/examples/plots/Skew-T_Layout.html
index 3656165c090..38a87b1127d 100644
--- a/dev/examples/plots/Skew-T_Layout.html
+++ b/dev/examples/plots/Skew-T_Layout.html
@@ -75,7 +75,7 @@
-
+
@@ -644,7 +644,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.264 seconds)
+Total running time of the script: (0 minutes 0.246 seconds)
Download Python source code: Skew-T_Layout.py
diff --git a/dev/examples/plots/Sounding_LCL_Dataset.html b/dev/examples/plots/Sounding_LCL_Dataset.html
index e22ce82a2d8..54102ce3aa1 100644
--- a/dev/examples/plots/Sounding_LCL_Dataset.html
+++ b/dev/examples/plots/Sounding_LCL_Dataset.html
@@ -75,7 +75,7 @@
-
+
@@ -655,7 +655,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.238 seconds)
+Total running time of the script: (0 minutes 0.232 seconds)
Download Python source code: Sounding_LCL_Dataset.py
diff --git a/dev/examples/plots/Station_Plot.html b/dev/examples/plots/Station_Plot.html
index 16e9e932825..4bc52cadaac 100644
--- a/dev/examples/plots/Station_Plot.html
+++ b/dev/examples/plots/Station_Plot.html
@@ -75,7 +75,7 @@
-
+
@@ -679,7 +679,7 @@ The payoffplt.show()
-Total running time of the script: (0 minutes 13.516 seconds)
+Total running time of the script: (0 minutes 16.895 seconds)
Download Python source code: Station_Plot.py
diff --git a/dev/examples/plots/Station_Plot_with_Layout.html b/dev/examples/plots/Station_Plot_with_Layout.html
index 52d4ecff5bb..15019844050 100644
--- a/dev/examples/plots/Station_Plot_with_Layout.html
+++ b/dev/examples/plots/Station_Plot_with_Layout.html
@@ -74,7 +74,7 @@
-
+
@@ -764,7 +764,7 @@ The payoffplt.show()
-Total running time of the script: (0 minutes 1.514 seconds)
+Total running time of the script: (0 minutes 1.894 seconds)
Download Python source code: Station_Plot_with_Layout.py
diff --git a/dev/examples/plots/US_Counties.html b/dev/examples/plots/US_Counties.html
index eef6b3200f7..a74a3e87717 100644
--- a/dev/examples/plots/US_Counties.html
+++ b/dev/examples/plots/US_Counties.html
@@ -75,7 +75,7 @@
-
+
@@ -597,7 +597,7 @@
axis.add_feature(USCOUNTIES.with_scale(scale))
-Total running time of the script: (0 minutes 2.371 seconds)
+Total running time of the script: (0 minutes 3.030 seconds)
Download Python source code: US_Counties.py
diff --git a/dev/examples/plots/index.html b/dev/examples/plots/index.html
index ea5abf3cac4..99232e10d7a 100644
--- a/dev/examples/plots/index.html
+++ b/dev/examples/plots/index.html
@@ -75,7 +75,7 @@
-
+
diff --git a/dev/examples/plots/nhc_wind_probabilities.html b/dev/examples/plots/nhc_wind_probabilities.html
index f108231acdc..69f1e6f3f16 100644
--- a/dev/examples/plots/nhc_wind_probabilities.html
+++ b/dev/examples/plots/nhc_wind_probabilities.html
@@ -75,7 +75,7 @@
-
+
@@ -1112,7 +1112,7 @@
pc.show()
-Total running time of the script: (0 minutes 13.118 seconds)
+Total running time of the script: (0 minutes 16.217 seconds)
Download Python source code: nhc_wind_probabilities.py
diff --git a/dev/examples/plots/raster_declarative.html b/dev/examples/plots/raster_declarative.html
index 2f987af4dc1..163cea38382 100644
--- a/dev/examples/plots/raster_declarative.html
+++ b/dev/examples/plots/raster_declarative.html
@@ -75,7 +75,7 @@
-
+
@@ -989,9 +989,9 @@
file_format: GRIB-1
location: /nomads3_data/raid2/noaaport/merged/narr/198704...
_CoordinateModelRunDate: 1987-04-04T18:00:00Z
- History: Translated to CF-1.0 Conventions by Netcdf-Java...xarray.Dataset- time: 1
- isobaric: 29
- y: 118
- x: 292
- time(time)datetime64[ns]1987-04-04T18:00:00
- long_name :
- forecast time
- _CoordinateAxisType :
- Time
array(['1987-04-04T18:00:00.000000000'], dtype='datetime64[ns]')
- isobaric(isobaric)float641e+03 975.0 950.0 ... 125.0 100.0
- long_name :
- Isobaric surface
- units :
- hPa
- positive :
- down
- GRIB_level_type :
- 100
- _CoordinateAxisType :
- Pressure
- _CoordinateZisPositive :
- down
array([1000., 975., 950., 925., 900., 875., 850., 825., 800., 775.,
+ History: Translated to CF-1.0 Conventions by Netcdf-Java...
xarray.Dataset- time: 1
- isobaric: 29
- y: 118
- x: 292
- time(time)datetime64[ns]1987-04-04T18:00:00
- long_name :
- forecast time
- _CoordinateAxisType :
- Time
array(['1987-04-04T18:00:00.000000000'], dtype='datetime64[ns]')
- isobaric(isobaric)float641e+03 975.0 950.0 ... 125.0 100.0
- long_name :
- Isobaric surface
- units :
- hPa
- positive :
- down
- GRIB_level_type :
- 100
- _CoordinateAxisType :
- Pressure
- _CoordinateZisPositive :
- down
array([1000., 975., 950., 925., 900., 875., 850., 825., 800., 775.,
750., 725., 700., 650., 600., 550., 500., 450., 400., 350.,
- 300., 275., 250., 225., 200., 175., 150., 125., 100.])
- y(y)float64-3.087e+03 -3.054e+03 ... 711.4
- units :
- km
- long_name :
- y coordinate of projection
- standard_name :
- projection_y_coordinate
- grid_spacing :
- 32.463 km
- _CoordinateAxisType :
- GeoY
array([-3.086806e+03, -3.054343e+03, -3.021880e+03, -2.989417e+03,
+ 300., 275., 250., 225., 200., 175., 150., 125., 100.])
- y(y)float64-3.087e+03 -3.054e+03 ... 711.4
- units :
- km
- long_name :
- y coordinate of projection
- standard_name :
- projection_y_coordinate
- grid_spacing :
- 32.463 km
- _CoordinateAxisType :
- GeoY
array([-3.086806e+03, -3.054343e+03, -3.021880e+03, -2.989417e+03,
-2.956954e+03, -2.924491e+03, -2.892028e+03, -2.859565e+03,
-2.827102e+03, -2.794639e+03, -2.762176e+03, -2.729713e+03,
-2.697250e+03, -2.664787e+03, -2.632324e+03, -2.599861e+03,
@@ -1020,12 +1020,12 @@
2.893464e+02, 3.218094e+02, 3.542724e+02, 3.867354e+02,
4.191984e+02, 4.516614e+02, 4.841244e+02, 5.165874e+02,
5.490504e+02, 5.815134e+02, 6.139764e+02, 6.464394e+02,
- 6.789024e+02, 7.113654e+02])
- x(x)float64-3.977e+03 -3.945e+03 ... 5.47e+03
- units :
- km
- long_name :
- x coordinate of projection
- standard_name :
- projection_x_coordinate
- grid_spacing :
- 32.463 km
- _CoordinateAxisType :
- GeoX
array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136,
- 5437.215136, 5469.678136])
- Temperature(time, isobaric, y, x)float32...
- units :
- K
- long_name :
- Temperature @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Temperature
- GRIB_param_short_name :
- TMP
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 11
- GRIB_param_id :
- [ 1 7 131 11]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- Lambert_Conformal()|S1...
- grid_mapping_name :
- lambert_conformal_conic
- standard_parallel :
- 50.0
- longitude_of_central_meridian :
- -107.0
- latitude_of_projection_origin :
- 50.0
- earth_shape :
- spherical
- earth_radius :
- 6367470.21484375
- GRIB_param_Dx :
- 32463.0
- GRIB_param_Dy :
- 32463.0
- GRIB_param_GDSkey :
- 55295
- GRIB_param_La1 :
- 1.0
- GRIB_param_Latin1 :
- 50.0
- GRIB_param_Latin2 :
- 50.0
- GRIB_param_Lo1 :
- -145.5
- GRIB_param_LoV :
- -107.0
- GRIB_param_NpProj :
- true
- GRIB_param_Nx :
- 349
- GRIB_param_Ny :
- 277
- GRIB_param_ProjFlag :
- 0
- GRIB_param_ResCompFlag :
- 8
- GRIB_param_SpLat :
- 0.0
- GRIB_param_SpLon :
- 0.0
- GRIB_param_VectorComponentFlag :
- gridRelative
- GRIB_param_Winds :
- Relative
- GRIB_param_grid_name :
- Lambert_Conformal
- GRIB_param_grid_radius_spherical_earth :
- 6367.47
- GRIB_param_grid_shape :
- spherical
- GRIB_param_grid_shape_code :
- 0
- GRIB_param_grid_type :
- 3
- GRIB_param_grid_units :
- m
- GRIB_param_scanning_mode :
- 64
- _CoordinateTransformType :
- Projection
- _CoordinateAxisTypes :
- GeoX GeoY
[1 values with dtype=|S1]
- lat(y, x)float64...
- units :
- degrees_north
- long_name :
- latitude coordinate
- standard_name :
- latitude
- _CoordinateAxisType :
- Lat
[34456 values with dtype=float64]
- lon(y, x)float64...
- units :
- degrees_east
- long_name :
- longitude coordinate
- standard_name :
- longitude
- _CoordinateAxisType :
- Lon
[34456 values with dtype=float64]
- u_wind(time, isobaric, y, x)float32...
- units :
- m/s
- long_name :
- u_wind @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- u_wind
- GRIB_param_short_name :
- UGRD
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 33
- GRIB_param_id :
- [ 1 7 131 33]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- v_wind(time, isobaric, y, x)float32...
- units :
- m/s
- long_name :
- v_wind @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- v_wind
- GRIB_param_short_name :
- VGRD
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 34
- GRIB_param_id :
- [ 1 7 131 34]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- Geopotential_height(time, isobaric, y, x)float32...
- units :
- gpm
- long_name :
- Geopotential_height @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Geopotential_height
- GRIB_param_short_name :
- HGT
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 7
- GRIB_param_id :
- [ 1 7 131 7]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- Specific_humidity(time, isobaric, y, x)float32...
- units :
- kg/kg
- long_name :
- Specific_humidity @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Specific_humidity
- GRIB_param_short_name :
- SPFH
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 51
- GRIB_param_id :
- [ 1 7 131 51]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- timePandasIndex
PandasIndex(DatetimeIndex(['1987-04-04 18:00:00'], dtype='datetime64[ns]', name='time', freq=None))
- isobaricPandasIndex
PandasIndex(Index([1000.0, 975.0, 950.0, 925.0, 900.0, 875.0, 850.0, 825.0, 800.0,
+ 6.789024e+02, 7.113654e+02])
- x(x)float64-3.977e+03 -3.945e+03 ... 5.47e+03
- units :
- km
- long_name :
- x coordinate of projection
- standard_name :
- projection_x_coordinate
- grid_spacing :
- 32.463 km
- _CoordinateAxisType :
- GeoX
array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136,
+ 5437.215136, 5469.678136])
- Temperature(time, isobaric, y, x)float32...
- units :
- K
- long_name :
- Temperature @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Temperature
- GRIB_param_short_name :
- TMP
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 11
- GRIB_param_id :
- [ 1 7 131 11]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- Lambert_Conformal()|S1...
- grid_mapping_name :
- lambert_conformal_conic
- standard_parallel :
- 50.0
- longitude_of_central_meridian :
- -107.0
- latitude_of_projection_origin :
- 50.0
- earth_shape :
- spherical
- earth_radius :
- 6367470.21484375
- GRIB_param_Dx :
- 32463.0
- GRIB_param_Dy :
- 32463.0
- GRIB_param_GDSkey :
- 55295
- GRIB_param_La1 :
- 1.0
- GRIB_param_Latin1 :
- 50.0
- GRIB_param_Latin2 :
- 50.0
- GRIB_param_Lo1 :
- -145.5
- GRIB_param_LoV :
- -107.0
- GRIB_param_NpProj :
- true
- GRIB_param_Nx :
- 349
- GRIB_param_Ny :
- 277
- GRIB_param_ProjFlag :
- 0
- GRIB_param_ResCompFlag :
- 8
- GRIB_param_SpLat :
- 0.0
- GRIB_param_SpLon :
- 0.0
- GRIB_param_VectorComponentFlag :
- gridRelative
- GRIB_param_Winds :
- Relative
- GRIB_param_grid_name :
- Lambert_Conformal
- GRIB_param_grid_radius_spherical_earth :
- 6367.47
- GRIB_param_grid_shape :
- spherical
- GRIB_param_grid_shape_code :
- 0
- GRIB_param_grid_type :
- 3
- GRIB_param_grid_units :
- m
- GRIB_param_scanning_mode :
- 64
- _CoordinateTransformType :
- Projection
- _CoordinateAxisTypes :
- GeoX GeoY
[1 values with dtype=|S1]
- lat(y, x)float64...
- units :
- degrees_north
- long_name :
- latitude coordinate
- standard_name :
- latitude
- _CoordinateAxisType :
- Lat
[34456 values with dtype=float64]
- lon(y, x)float64...
- units :
- degrees_east
- long_name :
- longitude coordinate
- standard_name :
- longitude
- _CoordinateAxisType :
- Lon
[34456 values with dtype=float64]
- u_wind(time, isobaric, y, x)float32...
- units :
- m/s
- long_name :
- u_wind @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- u_wind
- GRIB_param_short_name :
- UGRD
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 33
- GRIB_param_id :
- [ 1 7 131 33]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- v_wind(time, isobaric, y, x)float32...
- units :
- m/s
- long_name :
- v_wind @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- v_wind
- GRIB_param_short_name :
- VGRD
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 34
- GRIB_param_id :
- [ 1 7 131 34]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- Geopotential_height(time, isobaric, y, x)float32...
- units :
- gpm
- long_name :
- Geopotential_height @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Geopotential_height
- GRIB_param_short_name :
- HGT
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 7
- GRIB_param_id :
- [ 1 7 131 7]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- Specific_humidity(time, isobaric, y, x)float32...
- units :
- kg/kg
- long_name :
- Specific_humidity @ isobaric
- grid_mapping :
- Lambert_Conformal
- GRIB_param_name :
- Specific_humidity
- GRIB_param_short_name :
- SPFH
- GRIB_center_id :
- 7
- GRIB_table_id :
- 131
- GRIB_param_number :
- 51
- GRIB_param_id :
- [ 1 7 131 51]
- GRIB_product_definition_type :
- Initialized analysis product
- GRIB_level_type :
- 100
- GRIB_VectorComponentFlag :
- gridRelative
[999224 values with dtype=float32]
- timePandasIndex
PandasIndex(DatetimeIndex(['1987-04-04 18:00:00'], dtype='datetime64[ns]', name='time', freq=None))
- isobaricPandasIndex
PandasIndex(Index([1000.0, 975.0, 950.0, 925.0, 900.0, 875.0, 850.0, 825.0, 800.0,
775.0, 750.0, 725.0, 700.0, 650.0, 600.0, 550.0, 500.0, 450.0,
400.0, 350.0, 300.0, 275.0, 250.0, 225.0, 200.0, 175.0, 150.0,
125.0, 100.0],
- dtype='float64', name='isobaric'))
- yPandasIndex
PandasIndex(Index([-3086.8056464496035, -3054.3426464496033, -3021.8796464496036,
+ dtype='float64', name='isobaric'))
- yPandasIndex
PandasIndex(Index([-3086.8056464496035, -3054.3426464496033, -3021.8796464496036,
-2989.4166464496034, -2956.953646449603, -2924.4906464496034,
-2892.0276464496037, -2859.5646464496035, -2827.1016464496033,
-2794.6386464496036,
@@ -1034,7 +1034,7 @@
516.587353550397, 549.0503535503967, 581.5133535503965,
613.9763535503971, 646.4393535503968, 678.9023535503966,
711.3653535503963],
- dtype='float64', name='y', length=118))
- xPandasIndex
PandasIndex(Index([ -3977.054863757302, -3944.5918637573022, -3912.1288637573025,
+ dtype='float64', name='y', length=118))
- xPandasIndex
PandasIndex(Index([ -3977.054863757302, -3944.5918637573022, -3912.1288637573025,
-3879.6658637573023, -3847.202863757302, -3814.7398637573024,
-3782.276863757302, -3749.813863757302, -3717.3508637573022,
-3684.8878637573025,
@@ -1043,7 +1043,7 @@
5274.900136242699, 5307.363136242699, 5339.826136242698,
5372.289136242698, 5404.752136242698, 5437.215136242698,
5469.678136242697],
- dtype='float64', name='x', length=292))
- Conventions :
- CF-1.0
- Originating_center :
- US National Weather Service - NCEP(WMC) (7)
- Originating_subcenter :
- The North American Regional Reanalysis (NARR) Project (15)
- Generating_Model :
- North American Regional Reanalysis (NARR)
- Product_Type :
- Forecast/Uninitialized Analysis/Image Product
- title :
- US National Weather Service - NCEP(WMC) North American Regional Reanalysis (NARR) Forecast/Uninitialized Analysis/Image Product
- institution :
- Center US National Weather Service - NCEP(WMC) (7) Subcenter The North American Regional Reanalysis (NARR) Project (15)
- source :
- Forecast/Uninitialized Analysis/Image Product
- history :
- Direct read of GRIB-1 into NetCDF-Java 4 API
- CF:feature_type :
- GRID
- file_format :
- GRIB-1
- location :
- /nomads3_data/raid2/noaaport/merged/narr/198704/19870404/narr-a_221_19870404_1800_000.grb
- _CoordinateModelRunDate :
- 1987-04-04T18:00:00Z
- History :
- Translated to CF-1.0 Conventions by Netcdf-Java CDM (NetcdfCFWriter)
+ dtype='float64', name='x', length=292))
- Conventions :
- CF-1.0
- Originating_center :
- US National Weather Service - NCEP(WMC) (7)
- Originating_subcenter :
- The North American Regional Reanalysis (NARR) Project (15)
- Generating_Model :
- North American Regional Reanalysis (NARR)
- Product_Type :
- Forecast/Uninitialized Analysis/Image Product
- title :
- US National Weather Service - NCEP(WMC) North American Regional Reanalysis (NARR) Forecast/Uninitialized Analysis/Image Product
- institution :
- Center US National Weather Service - NCEP(WMC) (7) Subcenter The North American Regional Reanalysis (NARR) Project (15)
- source :
- Forecast/Uninitialized Analysis/Image Product
- history :
- Direct read of GRIB-1 into NetCDF-Java 4 API
- CF:feature_type :
- GRID
- file_format :
- GRIB-1
- location :
- /nomads3_data/raid2/noaaport/merged/narr/198704/19870404/narr-a_221_19870404_1800_000.grb
- _CoordinateModelRunDate :
- 1987-04-04T18:00:00Z
- History :
- Translated to CF-1.0 Conventions by Netcdf-Java CDM (NetcdfCFWriter)
Original Dataset = narr-a/198704/19870404/narr-a_221_19870404_1800_000.grb; Translation Date = Fri Jun 16 13:26:21 EDT 2017
@@ -1070,7 +1070,7 @@
pc.show()
-Total running time of the script: (0 minutes 0.821 seconds)
+Total running time of the script: (0 minutes 1.035 seconds)
Download Python source code: raster_declarative.py
diff --git a/dev/examples/plots/sg_execution_times.html b/dev/examples/plots/sg_execution_times.html
index 594bf374a78..1a337083d58 100644
--- a/dev/examples/plots/sg_execution_times.html
+++ b/dev/examples/plots/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -487,75 +487,75 @@
Computation times#
-01:11.276 total execution time for examples_plots files:
+01:25.925 total execution time for examples_plots files:
Mesonet Station Plot (Mesonet_Stationplot.py
)
-00:13.847
+00:16.968
0.0 MB
Station Plot (Station_Plot.py
)
-00:13.516
+00:16.895
0.0 MB
NOAA NHC Wind Speed Probabilities (nhc_wind_probabilities.py
)
-00:13.118
+00:16.217
0.0 MB
NOAA SPC Convective Outlook (spc_convective_outlook.py
)
-00:08.215
+00:10.209
0.0 MB
Plotting Fronts (Plotting_Surface_Analysis.py
)
-00:07.171
+00:07.649
0.0 MB
Combined Plotting (Combined_plotting.py
)
-00:06.702
+00:07.422
0.0 MB
US Counties (US_Counties.py
)
-00:02.371
+00:03.030
0.0 MB
Station Plot with Layout (Station_Plot_with_Layout.py
)
-00:01.514
+00:01.894
0.0 MB
Surface Analysis using Declarative Syntax (surface_declarative.py
)
-00:01.379
+00:01.752
0.0 MB
Raster Plots using Declarative Syntax (raster_declarative.py
)
-00:00.821
+00:01.035
0.0 MB
Upper Air Analysis using Declarative Syntax (upperair_declarative.py
)
-00:00.750
+00:00.914
0.0 MB
Simple Plotting (Simplified_Image_Plot.py
)
-00:00.544
+00:00.692
0.0 MB
Simple Sounding (Simple_Sounding.py
)
-00:00.425
+00:00.393
0.0 MB
Hodograph Inset (Hodograph_Inset.py
)
-00:00.268
+00:00.257
0.0 MB
Skew-T with Complex Layout (Skew-T_Layout.py
)
-00:00.264
+00:00.246
0.0 MB
Sounding as Dataset Example (Sounding_LCL_Dataset.py
)
-00:00.238
+00:00.232
0.0 MB
Simple Plotting of Fronts (Simple_Fronts_Plot.py
)
-00:00.134
+00:00.120
0.0 MB
diff --git a/dev/examples/plots/spc_convective_outlook.html b/dev/examples/plots/spc_convective_outlook.html
index f950a709846..0a00d4f2a02 100644
--- a/dev/examples/plots/spc_convective_outlook.html
+++ b/dev/examples/plots/spc_convective_outlook.html
@@ -75,7 +75,7 @@
-
+
@@ -729,7 +729,7 @@
pc.show()
-Total running time of the script: (0 minutes 8.215 seconds)
+Total running time of the script: (0 minutes 10.209 seconds)
Download Python source code: spc_convective_outlook.py
diff --git a/dev/examples/plots/surface_declarative.html b/dev/examples/plots/surface_declarative.html
index 60a2409b08d..22a41936329 100644
--- a/dev/examples/plots/surface_declarative.html
+++ b/dev/examples/plots/surface_declarative.html
@@ -75,7 +75,7 @@
-
+
@@ -636,7 +636,7 @@
pc.show()
-Total running time of the script: (0 minutes 1.379 seconds)
+Total running time of the script: (0 minutes 1.752 seconds)
Download Python source code: surface_declarative.py
diff --git a/dev/examples/plots/upperair_declarative.html b/dev/examples/plots/upperair_declarative.html
index e475051f5ee..3ad3cc59b1b 100644
--- a/dev/examples/plots/upperair_declarative.html
+++ b/dev/examples/plots/upperair_declarative.html
@@ -75,7 +75,7 @@
-
+
@@ -633,7 +633,7 @@
pc.show()
-Total running time of the script: (0 minutes 0.750 seconds)
+Total running time of the script: (0 minutes 0.914 seconds)
Download Python source code: upperair_declarative.py
diff --git a/dev/examples/sg_execution_times.html b/dev/examples/sg_execution_times.html
index edfed31593a..3d0fcc89403 100644
--- a/dev/examples/sg_execution_times.html
+++ b/dev/examples/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -487,39 +487,39 @@
Computation times#
-00:46.011 total execution time for examples files:
+00:58.692 total execution time for examples files:
-Isentropic Analysis (isentropic_example.py
)
-00:10.740
+Sigma to Pressure Interpolation (sigma_to_pressure_interpolation.py
)
+00:13.391
0.0 MB
-XArray Projection Handling (XArray_Projections.py
)
-00:10.109
+Isentropic Analysis (isentropic_example.py
)
+00:13.318
0.0 MB
-Four Panel Map (Four_Panel_Map.py
)
-00:09.284
+XArray Projection Handling (XArray_Projections.py
)
+00:12.591
0.0 MB
-Sigma to Pressure Interpolation (sigma_to_pressure_interpolation.py
)
-00:09.168
+Four Panel Map (Four_Panel_Map.py
)
+00:11.257
0.0 MB
Cross Section Analysis (cross_section.py
)
-00:04.962
+00:06.202
0.0 MB
-Advanced Sounding Plot with Complex Layout (Advanced_Sounding_With_Complex_Layout.py
)
-00:00.815
+Meteogram (meteogram_metpy.py
)
+00:00.896
0.0 MB
-Meteogram (meteogram_metpy.py
)
-00:00.700
+Advanced Sounding Plot with Complex Layout (Advanced_Sounding_With_Complex_Layout.py
)
+00:00.821
0.0 MB
Advanced Sounding (Advanced_Sounding.py
)
-00:00.233
+00:00.217
0.0 MB
diff --git a/dev/examples/sigma_to_pressure_interpolation.html b/dev/examples/sigma_to_pressure_interpolation.html
index 4cdb68eb953..54c6979405d 100644
--- a/dev/examples/sigma_to_pressure_interpolation.html
+++ b/dev/examples/sigma_to_pressure_interpolation.html
@@ -75,7 +75,7 @@
-
+
@@ -661,7 +661,7 @@
plt.show()
-Total running time of the script: (0 minutes 9.168 seconds)
+Total running time of the script: (0 minutes 13.391 seconds)
Download Python source code: sigma_to_pressure_interpolation.py
diff --git a/dev/genindex.html b/dev/genindex.html
index eb675006def..06bc4dc1832 100644
--- a/dev/genindex.html
+++ b/dev/genindex.html
@@ -72,7 +72,7 @@
-
+
diff --git a/dev/index.html b/dev/index.html
index bf1e9d21aad..e6512d7ec6d 100644
--- a/dev/index.html
+++ b/dev/index.html
@@ -74,7 +74,7 @@
-
+
diff --git a/dev/py-modindex.html b/dev/py-modindex.html
index 681ff4b205e..01a5b8fe5bb 100644
--- a/dev/py-modindex.html
+++ b/dev/py-modindex.html
@@ -73,7 +73,7 @@
-
+
diff --git a/dev/search.html b/dev/search.html
index dc6400bc654..8b595113424 100644
--- a/dev/search.html
+++ b/dev/search.html
@@ -74,7 +74,7 @@
-
+
diff --git a/dev/searchindex.js b/dev/searchindex.js
index 660312a3756..571069dbac0 100644
--- a/dev/searchindex.js
+++ b/dev/searchindex.js
@@ -1 +1 @@
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172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 194, 196, 198, 199, 200, 201, 202, 203, 204, 206, 207, 217, 223, 284, 306], "option": [2, 3, 6, 7, 11, 13, 14, 15, 16, 18, 19, 22, 23, 24, 27, 28, 30, 32, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 47, 48, 49, 52, 53, 54, 55, 56, 57, 59, 60, 61, 62, 63, 65, 66, 69, 73, 75, 81, 82, 83, 85, 86, 87, 97, 98, 109, 111, 114, 115, 117, 118, 119, 120, 121, 122, 124, 125, 126, 127, 128, 129, 130, 131, 132, 137, 138, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 162, 163, 165, 167, 168, 171, 179, 181, 187, 188, 193, 194, 196, 197, 205, 207, 217, 219, 223, 229, 248, 273, 297, 300, 303, 304, 305, 306], "denot": [2, 22, 56, 75, 115, 122, 179, 186, 194], "default": [2, 3, 6, 7, 11, 12, 13, 14, 15, 16, 18, 19, 22, 23, 24, 28, 30, 32, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 69, 73, 75, 81, 82, 83, 85, 86, 97, 98, 102, 104, 105, 106, 109, 110, 111, 114, 115, 117, 118, 119, 120, 121, 122, 124, 125, 128, 129, 130, 131, 132, 135, 137, 138, 141, 143, 144, 145, 146, 147, 148, 149, 150, 151, 158, 159, 160, 164, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 205, 207, 209, 215, 217, 222, 223, 224, 227, 231, 232, 236, 237, 246, 249, 258, 267, 277, 279, 291, 297, 300, 302, 306], "set": [2, 8, 9, 11, 22, 24, 35, 36, 60, 75, 101, 110, 112, 114, 115, 117, 122, 137, 164, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 197, 208, 209, 215, 222, 223, 229, 230, 231, 232, 233, 235, 236, 238, 240, 241, 243, 244, 246, 247, 250, 251, 252, 253, 254, 255, 258, 265, 266, 268, 272, 273, 276, 277, 279, 283, 284, 287, 294, 296, 300, 301, 302, 306, 308], "interpol": [2, 18, 22, 36, 44, 45, 53, 54, 63, 64, 65, 72, 75, 77, 78, 113, 115, 122, 134, 138, 142, 143, 144, 146, 147, 148, 149, 150, 152, 153, 155, 176, 178, 179, 180, 188, 191, 204, 205, 226, 227, 230, 258, 264, 265, 266, 269, 270, 271, 272, 293, 302, 304, 306], "cross_sect": [2, 22, 75, 115, 122, 142, 148, 258, 293], "return": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 158, 159, 160, 161, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 209, 212, 213, 214, 217, 219, 220, 223, 224, 227, 233, 249, 264, 267, 268, 273, 287, 302, 304, 306, 311], "cross_section_compon": [2, 75, 115, 258], "note": [2, 3, 6, 7, 8, 9, 12, 16, 17, 18, 19, 21, 22, 24, 25, 27, 28, 29, 30, 31, 32, 33, 36, 38, 39, 40, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 80, 81, 82, 83, 84, 85, 88, 89, 90, 91, 93, 94, 95, 100, 102, 103, 104, 105, 106, 108, 110, 113, 115, 116, 117, 118, 119, 120, 123, 128, 129, 130, 131, 132, 133, 135, 143, 145, 146, 147, 151, 160, 161, 162, 163, 167, 168, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 226, 227, 229, 258, 272, 297, 301, 302, 305, 306], "As": [2, 48, 103, 227, 229, 297, 302, 304, 310], "schultz1999": [2, 226], "m": [2, 3, 7, 17, 28, 39, 40, 41, 42, 43, 50, 52, 81, 82, 86, 87, 98, 101, 109, 110, 111, 112, 120, 124, 131, 134, 139, 145, 146, 147, 149, 150, 152, 153, 171, 179, 205, 226, 232, 246, 249, 258, 261, 265, 266, 268, 272, 273, 276, 284, 288, 294, 296, 297, 300, 302, 304, 305, 306], "fx": 2, "where": [2, 8, 9, 11, 19, 23, 25, 35, 38, 40, 49, 50, 55, 56, 60, 61, 62, 99, 103, 114, 119, 121, 125, 132, 135, 137, 154, 155, 156, 159, 160, 168, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 212, 213, 227, 244, 260, 266, 268, 284, 295, 297, 300, 302, 304, 306], "front": [2, 169, 173, 175, 177, 182, 183, 184, 196, 198, 199, 200, 201, 202, 203, 204, 271, 286, 289, 306], "distanc": [2, 12, 58, 103, 139, 145, 149, 150, 167, 168, 224, 248, 266, 269, 270, 271, 300, 306, 310], "appli": [2, 11, 49, 102, 103, 104, 105, 106, 110, 133, 137, 138, 145, 147, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 193, 196, 197, 306], "taken": [2, 8, 9, 131, 161, 163, 167, 168, 219, 227, 266, 304, 306], "perpendicular": 2, "becom": [2, 36, 103, 301, 306, 310, 311], "normal": [2, 22, 75, 103, 106, 122, 161, 173, 174, 175, 177, 178, 180, 182, 183, 184, 191, 194, 198, 199, 200, 201, 202, 203, 209, 210, 231, 232, 233, 258, 275, 279, 281, 301, 306], "tangenti": [2, 22, 115, 258, 306], "If": [2, 3, 6, 7, 8, 11, 12, 16, 28, 32, 35, 37, 38, 39, 41, 42, 43, 44, 47, 52, 53, 54, 56, 57, 58, 59, 60, 81, 82, 86, 87, 97, 98, 102, 103, 104, 105, 106, 111, 117, 119, 120, 124, 126, 127, 131, 137, 138, 143, 145, 147, 151, 160, 161, 162, 163, 165, 167, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 196, 197, 209, 217, 219, 223, 227, 229, 231, 232, 237, 295, 297, 302, 304, 305, 306, 308, 310], "us": [2, 7, 8, 9, 19, 20, 24, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 49, 50, 51, 52, 53, 56, 57, 58, 77, 81, 82, 83, 84, 85, 91, 93, 95, 96, 97, 116, 118, 119, 124, 126, 127, 128, 129, 130, 133, 137, 142, 146, 147, 148, 149, 150, 152, 153, 157, 158, 160, 171, 174, 175, 177, 183, 184, 192, 195, 202, 203, 206, 207, 209, 214, 215, 217, 219, 221, 223, 224, 226, 227, 229, 230, 231, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 258, 259, 260, 261, 262, 264, 265, 266, 268, 271, 272, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 289, 290, 294, 295, 297, 298, 299, 300, 301, 302, 304, 305, 306, 307, 310, 311], "thi": [2, 4, 5, 6, 8, 9, 13, 14, 15, 16, 17, 18, 19, 21, 23, 24, 25, 28, 29, 30, 31, 32, 33, 34, 36, 37, 40, 44, 45, 46, 47, 49, 50, 52, 54, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 69, 70, 72, 73, 76, 77, 78, 81, 82, 85, 86, 87, 91, 93, 94, 96, 97, 102, 103, 104, 105, 106, 109, 110, 113, 114, 117, 118, 121, 122, 123, 125, 126, 127, 128, 129, 130, 131, 132, 133, 135, 137, 138, 141, 142, 145, 146, 147, 148, 152, 153, 157, 161, 162, 163, 164, 165, 167, 169, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 209, 215, 217, 219, 223, 227, 228, 229, 230, 231, 232, 235, 236, 238, 240, 241, 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282, 283, 287, 297, 300, 306], "m_g": 2, "right": [2, 8, 9, 13, 17, 33, 34, 38, 39, 40, 48, 50, 52, 81, 86, 93, 122, 126, 127, 181, 193, 194, 205, 227, 232, 233, 276, 282, 283, 295, 297, 301, 306], "obtain": [2, 8, 22, 49, 53, 75, 76, 77, 103, 106, 115, 122, 141, 148, 209, 223, 231, 232, 238, 241, 243, 249, 250, 252, 258, 275, 279, 281, 282, 292, 301, 302, 306], "describ": [2, 103, 122, 133, 176, 181, 223, 229, 305, 306], "chang": [2, 3, 6, 7, 11, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 27, 28, 30, 31, 32, 37, 39, 40, 43, 44, 45, 47, 49, 52, 53, 57, 58, 59, 60, 62, 63, 65, 66, 67, 69, 70, 73, 76, 77, 81, 82, 83, 85, 86, 88, 89, 90, 91, 94, 97, 98, 100, 103, 107, 109, 110, 111, 116, 117, 120, 123, 128, 129, 130, 131, 134, 161, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 227, 228, 229, 230, 232, 279, 283, 284, 297, 300, 302, 306, 311], "version": [2, 3, 6, 7, 11, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 27, 28, 30, 31, 32, 37, 39, 40, 43, 44, 45, 47, 49, 52, 53, 57, 58, 59, 60, 62, 63, 65, 66, 67, 69, 70, 73, 76, 77, 81, 82, 83, 85, 86, 88, 89, 90, 91, 94, 97, 98, 100, 107, 109, 110, 111, 116, 117, 120, 123, 128, 129, 130, 131, 134, 158, 159, 160, 217, 226, 227, 230, 237, 291, 300, 305, 306, 308, 311], "0": [2, 3, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 37, 39, 40, 43, 44, 45, 47, 48, 49, 50, 52, 53, 55, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 69, 70, 72, 73, 76, 77, 81, 82, 83, 85, 86, 87, 88, 89, 90, 91, 94, 97, 98, 99, 100, 101, 107, 109, 110, 111, 114, 116, 117, 118, 119, 120, 121, 123, 125, 126, 127, 128, 129, 130, 131, 134, 135, 138, 139, 143, 145, 147, 151, 155, 162, 163, 171, 172, 176, 177, 178, 179, 180, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 205, 207, 210, 212, 213, 217, 223, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 270, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 296, 297, 299, 300, 301, 302, 306, 308, 309, 310], "renam": [2, 11, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 30, 31, 32, 40, 44, 45, 49, 53, 59, 60, 62, 63, 65, 66, 69, 70, 73, 76, 77, 88, 94, 100, 109, 110, 116, 117, 123, 128, 129, 130, 134, 311], "u_wind": [2, 258, 272, 288, 292, 304], "v_wind": [2, 258, 272, 288, 292, 304], "dx": [3, 6, 7, 28, 39, 41, 42, 43, 52, 58, 81, 82, 86, 98, 111, 120, 122, 124, 131, 224, 304, 306, 311], "none": [3, 6, 7, 12, 16, 19, 28, 30, 32, 37, 38, 39, 41, 42, 43, 44, 45, 47, 52, 57, 58, 60, 62, 63, 65, 69, 73, 81, 82, 83, 85, 86, 87, 97, 98, 110, 111, 117, 118, 120, 124, 131, 132, 138, 139, 143, 145, 147, 149, 150, 151, 158, 159, 160, 163, 164, 165, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 205, 209, 219, 220, 221, 223, 224, 234, 249, 260, 264, 265, 266, 267, 273, 277, 287, 288, 291, 292, 296, 297, 302, 304, 306, 310, 311], "dy": [3, 6, 7, 28, 39, 41, 42, 43, 52, 58, 81, 82, 86, 98, 111, 120, 122, 124, 131, 224, 304, 311], "latitud": [3, 6, 7, 12, 20, 28, 39, 41, 42, 43, 52, 58, 81, 82, 86, 98, 111, 120, 122, 124, 131, 141, 142, 157, 163, 165, 167, 168, 171, 172, 176, 178, 180, 181, 188, 189, 190, 191, 223, 224, 233, 258, 260, 261, 268, 272, 276, 283, 284, 287, 288, 292, 297, 302, 306, 311], "x_dim": [3, 6, 7, 28, 39, 41, 42, 43, 52, 58, 81, 82, 86, 98, 111, 120, 124, 131, 304], "y_dim": [3, 6, 7, 28, 39, 41, 42, 43, 52, 58, 81, 82, 86, 98, 111, 120, 124, 131, 304], "parallel_scal": [3, 6, 7, 28, 39, 41, 42, 43, 52, 81, 82, 86, 98, 111, 120, 124, 131], "meridional_scal": [3, 6, 7, 28, 39, 41, 42, 43, 52, 81, 82, 86, 98, 111, 120, 124, 131], "longitud": [3, 6, 7, 12, 28, 39, 41, 42, 43, 52, 58, 81, 82, 86, 98, 111, 120, 124, 131, 141, 142, 157, 163, 165, 167, 168, 171, 172, 176, 178, 180, 181, 188, 189, 190, 191, 223, 224, 233, 258, 260, 261, 268, 272, 276, 283, 284, 287, 288, 292, 297, 302, 304, 306, 311], "cr": [3, 6, 7, 28, 39, 41, 42, 43, 52, 81, 82, 86, 98, 111, 120, 124, 131, 141, 142, 223, 224, 233, 258, 260, 261, 267, 268, 272, 276, 277, 283, 284, 285, 287, 291, 294, 296, 302], "vortic": [3, 21, 28, 81, 82, 171, 172, 176, 178, 180, 188, 189, 190, 191, 226, 230, 233, 256, 257, 271, 297, 304, 306], "horizont": [3, 6, 28, 41, 42, 47, 98, 111, 120, 131, 145, 178, 180, 191, 194, 205, 223, 224, 233, 240, 272, 294, 297, 302], "n": [3, 6, 7, 9, 10, 13, 14, 15, 28, 39, 41, 42, 43, 52, 81, 82, 86, 87, 98, 102, 103, 104, 105, 106, 110, 111, 120, 124, 131, 145, 146, 147, 148, 149, 150, 152, 153, 161, 163, 171, 196, 197, 226, 227, 233, 237, 244, 258, 259, 265, 266, 267, 268, 272, 273, 279, 287, 288, 296, 297, 300, 302, 306, 310], "pint": [3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 37, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 118, 120, 121, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 179, 194, 196, 197, 215, 217, 219, 223, 230, 238, 239, 241, 243, 248, 250, 252, 300, 302, 304, 308, 310], "quantiti": [3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 37, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 118, 120, 121, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 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279, 281, 282, 284, 287, 288, 290, 296, 297, 300, 301, 302, 306, 308, 310], "circ": [9, 264, 306], "c": [9, 110, 179, 187, 194, 196, 197, 207, 226, 227, 231, 232, 236, 246, 258, 268, 272, 277, 283, 291, 294, 296, 297, 301, 305, 306, 308], "km": [9, 17, 110, 139, 163, 179, 232, 238, 242, 249, 267, 276, 302, 306], "288": [9, 116, 302], "k": [9, 33, 52, 55, 85, 93, 129, 139, 161, 164, 197, 209, 226, 227, 230, 231, 232, 233, 249, 250, 258, 259, 264, 265, 266, 268, 272, 273, 282, 294, 296, 300, 301, 302, 305, 306, 310], "190284": 9, "ga": [9, 18, 24, 29, 66, 117, 128, 129, 130, 139, 291, 296], "constant": [9, 18, 19, 29, 34, 71, 138, 194, 226, 231, 250, 306], "dry": [9, 24, 27, 30, 31, 60, 66, 67, 69, 71, 76, 77, 78, 85, 89, 90, 91, 96, 117, 126, 127, 128, 129, 130, 161, 194, 244, 301, 306], "air": [9, 11, 18, 24, 26, 27, 29, 31, 33, 44, 45, 49, 59, 64, 65, 66, 67, 68, 70, 71, 72, 73, 76, 80, 88, 89, 90, 93, 94, 95, 96, 113, 117, 126, 127, 128, 129, 130, 134, 137, 179, 181, 185, 187, 194, 226, 231, 232, 238, 239, 241, 243, 249, 250, 252, 271, 275, 279, 281, 282, 286, 289, 297, 298, 299, 306, 310], "And": [9, 239, 258, 297, 302], "solv": [9, 59, 227, 230, 303, 306], "result": [9, 30, 32, 35, 36, 47, 59, 60, 65, 69, 145, 147, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 219, 227, 239, 266, 283, 284, 291, 292, 297, 300, 301, 303, 306], "t_0": [9, 51, 84], "input_angl": 10, "full": [10, 17, 117, 118, 124, 171, 227, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 267, 268, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 290, 291, 292, 294, 296, 297, 300, 301, 302, 306, 310, 311], "fals": [10, 11, 35, 36, 38, 45, 53, 56, 87, 106, 119, 137, 143, 160, 166, 171, 172, 173, 174, 175, 176, 177, 178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 198, 199, 200, 201, 202, 203, 205, 223, 227, 231, 232, 233, 234, 238, 241, 243, 249, 250, 252, 258, 259, 260, 261, 272, 273, 274, 275, 279, 281, 282, 283, 288, 291, 292, 294, 296, 297, 301, 302, 304, 310, 311], "angl": [10, 21, 39, 79, 139, 249, 256, 257, 260, 271, 301, 306], "text": [10, 18, 29, 31, 51, 70, 79, 83, 101, 112, 128, 129, 130, 139, 160, 167, 168, 187, 196, 197, 205, 214, 230, 232, 237, 245, 266, 276, 277, 278, 283, 284, 290, 291, 297, 302, 303, 306], "greater": [10, 36, 103, 114, 194, 241, 296, 297, 306], "equal": [10, 47, 57, 106, 114, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 244, 248, 260, 261, 264, 265, 266, 306], "360": [10, 134, 135, 237, 260, 268, 273, 297], "405": [10, 273], "ne": [10, 79, 187, 196, 197, 245, 249, 273, 276, 283, 291, 292, 296, 297, 306], "round": [10, 237, 306], "nearest": [10, 92, 138, 141, 145, 147, 148, 160, 237, 279, 306], "355": 10, "404": 10, "nne": [10, 196], "float": [10, 12, 24, 53, 54, 59, 66, 87, 110, 117, 128, 129, 130, 138, 143, 145, 146, 147, 149, 150, 151, 155, 158, 163, 172, 173, 174, 175, 176, 177, 178, 180, 182, 183, 184, 186, 187, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 209, 212, 213, 227, 300, 306], "like": [10, 12, 20, 21, 35, 36, 37, 38, 44, 45, 46, 47, 53, 56, 57, 58, 63, 67, 74, 76, 77, 87, 92, 97, 102, 104, 105, 106, 110, 119, 141, 142, 143, 144, 145, 146, 147, 148, 150, 151, 153, 154, 155, 156, 157, 161, 162, 163, 164, 167, 169, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 196, 197, 209, 211, 212, 213, 219, 224, 227, 229, 230, 232, 276, 278, 283, 295, 297, 300, 302, 303, 309, 311], "45": [10, 18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 118, 121, 161, 226, 231, 232, 233, 245, 272, 273, 275, 281, 282, 285, 287, 294, 296, 302], "410": 10, "etc": [10, 79, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 227, 230, 297, 300, 302, 306], "bool": [10, 11, 35, 36, 38, 44, 45, 49, 53, 54, 56, 63, 65, 106, 119, 137, 138, 143, 146, 160, 166, 171, 172, 173, 174, 175, 176, 177, 178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 194, 198, 199, 200, 201, 202, 203, 205, 223, 306], "true": [10, 11, 35, 38, 44, 45, 49, 53, 54, 56, 63, 65, 87, 106, 119, 137, 138, 146, 160, 162, 166, 171, 172, 173, 176, 177, 178, 180, 181, 182, 185, 186, 187, 188, 189, 190, 191, 194, 201, 223, 224, 227, 231, 232, 233, 237, 238, 241, 243, 249, 250, 252, 258, 259, 260, 261, 266, 267, 268, 272, 273, 275, 276, 277, 279, 281, 282, 283, 284, 291, 294, 297, 301, 304, 306], "south": [10, 79, 134, 135, 136, 145, 171, 172, 181, 189, 194, 245, 296, 297], "abbrevi": [10, 79, 181, 245, 297, 306], "detail": [10, 138, 141, 148, 181, 226, 227, 230, 295, 302, 306, 310, 311], "en": [10, 196, 237], "e": [10, 16, 25, 27, 33, 35, 36, 38, 51, 56, 66, 79, 81, 85, 87, 88, 91, 93, 95, 103, 119, 123, 139, 146, 157, 164, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 196, 197, 208, 209, 223, 226, 227, 229, 230, 231, 232, 239, 246, 258, 266, 284, 296, 297, 304, 305, 306, 310], "se": [10, 187, 196, 197, 273, 296], "relative_humid": [11, 26, 49, 67, 118, 258, 272, 273, 302, 304], "speed": [11, 38, 110, 114, 119, 134, 136, 137, 161, 167, 168, 179, 181, 185, 186, 231, 232, 233, 238, 241, 243, 249, 250, 252, 256, 257, 268, 271, 273, 275, 276, 279, 281, 282, 284, 286, 289, 297, 301, 304, 306, 310], "face_level_wind": [11, 137, 304], "mask_undefin": [11, 49, 137, 304], "current": [11, 37, 47, 49, 57, 93, 97, 137, 148, 167, 168, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 214, 223, 227, 229, 230, 266, 273, 276, 283, 296, 300, 302, 303, 306, 308], "appar": [11, 40, 50, 306], "base": [11, 13, 14, 17, 18, 19, 52, 60, 67, 81, 82, 89, 90, 92, 101, 109, 113, 117, 118, 132, 145, 149, 150, 163, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 192, 193, 197, 208, 209, 221, 223, 226, 227, 230, 231, 232, 248, 249, 261, 265, 297, 300, 302, 303, 306, 308], "chill": [11, 137, 226, 306], "heat": [11, 49, 56, 71, 139, 226, 244, 306], "appropri": [11, 37, 97, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 223, 227, 228, 229, 268, 272, 277, 284, 301, 302, 310], "nws10201": [11, 226], "rel": [11, 17, 18, 21, 23, 26, 29, 32, 49, 55, 59, 60, 61, 63, 64, 65, 67, 72, 73, 76, 77, 88, 89, 90, 91, 99, 101, 110, 112, 118, 121, 163, 171, 172, 176, 178, 180, 181, 186, 189, 191, 192, 193, 194, 196, 197, 205, 230, 249, 252, 254, 258, 265, 272, 273, 297, 300, 301, 302, 306], "humid": [11, 18, 23, 26, 27, 29, 32, 49, 55, 60, 61, 63, 64, 65, 67, 68, 70, 72, 73, 76, 77, 88, 89, 90, 91, 99, 107, 108, 118, 121, 226, 230, 252, 258, 272, 273, 300, 301, 302, 306], "express": [11, 26, 49, 67, 118, 302, 306], "unitless": [11, 49, 67, 89, 90, 91, 118, 194], "ratio": [11, 19, 24, 25, 26, 27, 49, 59, 66, 67, 68, 88, 89, 90, 91, 94, 108, 117, 118, 123, 126, 127, 128, 129, 130, 139, 194, 231, 232, 252, 256, 257, 265, 266, 271, 275, 281, 301, 306], "rang": [11, 12, 26, 49, 67, 118, 138, 163, 176, 178, 179, 180, 187, 191, 194, 212, 213, 223, 232, 235, 236, 240, 246, 247, 248, 249, 251, 253, 254, 255, 258, 260, 261, 267, 268, 272, 273, 294, 297, 306], "pass": [11, 49, 52, 56, 64, 67, 72, 102, 103, 104, 105, 106, 118, 143, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 193, 194, 196, 197, 217, 219, 227, 248, 272, 300, 306, 310, 311], "percentag": [11, 49, 67, 118, 287], "proper": [11, 35, 49, 67, 118, 163, 229, 300], "attach": [11, 37, 47, 49, 57, 67, 97, 118, 167, 168, 187, 219, 220, 249, 284, 292, 300, 302, 310], "10m": [11, 21, 137, 234, 296], "instead": [11, 25, 35, 40, 47, 50, 53, 54, 76, 77, 95, 137, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 227, 230, 272, 276, 283, 284, 287, 300, 302, 304], "face": [11, 137], "multipl": [11, 102, 104, 105, 106, 137, 143, 151, 164, 167, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 217, 223, 227, 229, 274, 284, 297, 300, 302, 304, 306], "correct": [11, 41, 42, 47, 49, 124, 126, 127, 131, 137, 214, 227, 228, 266, 284, 302, 306, 310], "flag": [11, 49, 137, 227, 229, 306], "whether": [11, 35, 49, 53, 54, 87, 137, 143, 146, 171, 172, 173, 174, 175, 176, 177, 178, 180, 182, 183, 184, 187, 189, 190, 191, 198, 199, 200, 201, 202, 203, 218, 223, 297, 306], "were": [11, 137, 163, 227, 229, 296, 300, 304], "facial": [11, 137], "thu": [11, 103, 137, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196], "mask": [11, 49, 87, 102, 104, 105, 106, 137, 217, 260, 268, 300, 306], "heat_index": [11, 137, 304, 306], "undefin": [11, 137, 186, 302], "For": [11, 37, 38, 56, 97, 103, 119, 161, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 214, 223, 227, 228, 229, 230, 233, 244, 258, 265, 266, 271, 273, 297, 300, 302, 304, 306, 307, 308, 310, 311], "50f": [11, 137], "mile": [11, 137, 306], "per": [11, 137, 171, 176, 178, 212, 213, 236, 239, 246, 300, 306], "hour": [11, 137, 163, 171, 172, 176, 178, 180, 187, 188, 189, 190, 191, 229, 236, 246, 273, 294, 297, 302, 306], "80f": [11, 49], "rh": [11, 18, 23, 26, 29, 32, 49, 55, 60, 61, 63, 64, 65, 67, 72, 73, 76, 77, 85, 88, 89, 90, 91, 99, 118, 121, 252, 258, 272, 273, 300, 304], "windchil": [11, 49, 306], "azimuth": [12, 58, 260, 261, 302, 306], "center_lon": 12, "center_lat": 12, "geod": [12, 58, 304], "polar": [12, 161, 181, 230, 301, 306], "lon": [12, 145, 163, 223, 224, 233, 235, 236, 240, 246, 247, 251, 253, 254, 255, 258, 259, 260, 261, 267, 268, 272, 276, 283, 284, 288, 294, 297, 302, 306, 310], "pole": 12, "origin": [12, 47, 73, 102, 104, 105, 106, 154, 155, 156, 165, 171, 172, 176, 178, 179, 180, 188, 189, 190, 191, 234, 244, 259, 282, 288, 291, 292, 301, 302, 306], "degre": [12, 16, 17, 21, 25, 58, 79, 95, 103, 110, 114, 134, 135, 139, 141, 142, 145, 167, 168, 171, 172, 176, 178, 180, 188, 189, 190, 191, 194, 224, 231, 232, 233, 237, 238, 239, 245, 248, 249, 258, 260, 261, 268, 273, 275, 276, 279, 281, 282, 284, 300, 301, 302, 306, 310], "typic": [12, 28, 131, 158, 231, 232, 275, 279, 281, 297, 301, 302], "decim": [12, 266, 306], "forward": [12, 37, 58, 97, 302, 304, 310], "spheric": [12, 40, 50, 58, 306], "ellipsoid": [12, 58, 302], "credit": 12, "brian": 12, "blaylock": 12, "nexrad": [12, 162, 163, 166, 204, 205, 262, 263, 271, 306, 310], "file": [12, 157, 158, 159, 160, 161, 162, 163, 167, 169, 176, 178, 180, 185, 188, 191, 204, 205, 208, 209, 210, 211, 212, 213, 229, 233, 234, 249, 257, 259, 263, 270, 273, 280, 284, 287, 288, 289, 290, 293, 297, 299, 302, 303, 305, 306, 310], "potential_temperatur": [13, 14, 15, 30, 34, 39, 48, 53, 54, 81, 116, 258, 304, 306], "brunt": [13, 14, 15, 306], "vaisala": [13, 14, 15, 306], "frequenc": [13, 14, 76, 77, 306], "theta": [13, 14, 33, 34, 39, 48, 80, 81, 93, 109, 116, 128, 304, 306], "formula": [13, 14, 18, 20, 23, 24, 25, 29, 33, 39, 40, 49, 50, 51, 52, 55, 61, 68, 71, 80, 81, 82, 83, 84, 86, 93, 95, 101, 108, 109, 112, 116, 121, 122, 125, 128, 129, 130, 132, 137, 226, 306, 310], "off": [13, 14, 117, 118, 193, 227, 248], "75": [13, 14, 18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 118, 121, 163, 195, 204, 206, 226, 232, 233, 236, 246, 260, 267, 272, 278, 285, 287, 290, 294, 296, 297, 302, 304], "77": [13, 14, 68, 296], "hobbs2006": [13, 14, 15, 24, 31, 40, 50, 70, 82, 117, 118, 126, 127, 129, 130, 226], "wrapper": [13, 142, 145, 147, 194, 219, 258, 297], "brunt_vaisala_frequency_squar": [13, 15, 304, 306], "filter": [13, 102, 103, 104, 105, 106, 162, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 306], "neg": [13, 29, 110, 114, 176, 194, 207, 306], "unstabl": [13, 72, 73, 112, 232, 249], "take": [13, 37, 47, 57, 76, 77, 78, 97, 141, 148, 157, 160, 168, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 197, 207, 227, 229, 230, 232, 239, 260, 276, 297, 300, 302, 311], "squar": [13, 14, 49, 103, 176, 178, 204, 206, 297, 306], "root": [13, 227, 229, 306], "potenti": [13, 14, 15, 18, 29, 30, 33, 34, 39, 48, 53, 54, 64, 72, 73, 80, 81, 82, 93, 113, 116, 128, 139, 146, 161, 194, 226, 256, 257, 258, 271, 288, 306], "unless": [13, 14, 15, 16, 30, 37, 58, 62, 97, 132, 302, 306], "case": [13, 14, 15, 37, 93, 97, 135, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 223, 227, 230, 231, 232, 244, 266, 272, 275, 279, 281, 292, 294, 297, 300, 301, 302, 306, 311], "metadata": [13, 14, 15, 141, 148, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 230, 259, 260, 261, 302, 305, 310, 311], "brunt_vaisala_period": [13, 14, 304, 306], "stabil": [14, 86, 109, 256, 257, 271, 306], "brunt_vaisala_frequ": [14, 15, 304, 306], "period": [15, 163, 306], "helper": [15, 179, 230, 302], "oscil": 15, "exercis": 15, "13": [15, 18, 19, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 128, 161, 163, 232, 233, 239, 264, 272, 276, 282, 283, 287, 288, 289, 291, 296, 300, 302], "tau": 15, "pi": [15, 34, 122, 134, 139, 265, 266, 296], "nan": [15, 87, 102, 104, 105, 106, 143, 144, 151, 154, 162, 168, 214, 231, 232, 238, 241, 243, 249, 250, 252, 260, 272, 275, 276, 279, 281, 282, 301], "bottom": [16, 18, 19, 32, 44, 45, 53, 54, 60, 62, 63, 65, 73, 83, 96, 110, 117, 118, 132, 146, 194, 238, 249, 304, 306], "depth": [16, 19, 44, 45, 62, 63, 64, 65, 73, 83, 110, 117, 118, 132, 232, 238, 243, 249, 252, 295, 304, 306, 310], "bulk": [16, 101, 112, 134, 232, 249, 256, 257, 271, 306], "shear": [16, 17, 21, 98, 101, 112, 114, 134, 232, 249, 256, 257, 271, 306], "through": [16, 62, 76, 77, 78, 83, 132, 141, 148, 171, 172, 176, 178, 180, 188, 189, 190, 191, 193, 197, 223, 227, 230, 244, 258, 265, 266, 287, 290, 291, 292, 297, 302, 306, 307, 308], "top": [16, 18, 19, 29, 32, 44, 45, 53, 54, 60, 62, 63, 64, 65, 72, 83, 96, 100, 113, 132, 146, 161, 163, 181, 227, 229, 244, 249, 300, 304, 306], "profil": [16, 17, 18, 19, 21, 29, 30, 32, 44, 45, 53, 60, 61, 62, 63, 64, 65, 69, 72, 73, 76, 77, 78, 83, 109, 110, 113, 117, 118, 132, 163, 231, 232, 249, 282, 301, 302, 306, 310], "sound": [16, 17, 18, 21, 23, 32, 55, 59, 60, 61, 62, 63, 64, 65, 72, 73, 76, 78, 83, 92, 99, 101, 110, 112, 113, 117, 121, 125, 132, 134, 136, 159, 179, 194, 204, 230, 238, 241, 250, 252, 256, 257, 271, 286, 289, 293, 298, 299, 302, 306, 310], "same": [16, 32, 53, 54, 60, 66, 77, 78, 81, 87, 123, 138, 143, 145, 146, 151, 171, 172, 185, 189, 217, 227, 239, 258, 268, 283, 284, 287, 297, 300, 302, 304, 306], "don": [16, 62, 87, 132, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 227, 284, 297, 303, 310], "agl": [16, 62, 110, 132, 179], "highest": [16, 18, 19, 23, 32, 44, 55, 60, 61, 83, 99, 114, 121, 125, 146, 167, 168, 187, 190, 302, 306], "lowest": [16, 18, 19, 23, 29, 32, 44, 55, 60, 61, 83, 99, 114, 121, 125, 146, 238, 244, 249, 302, 306], "u_shr": 16, "v_shr": 16, "wind_compon": [16, 17, 21, 110, 135, 136, 231, 232, 238, 249, 268, 275, 276, 279, 281, 282, 284, 301, 304, 310], "925": [16, 17, 19, 21, 30, 69, 110, 117, 249, 288], "850": [16, 17, 18, 19, 21, 23, 29, 30, 32, 33, 55, 60, 61, 62, 63, 64, 65, 69, 72, 73, 76, 77, 99, 109, 110, 114, 116, 117, 118, 121, 125, 171, 172, 176, 178, 180, 187, 188, 189, 190, 191, 239, 246, 274, 288, 310], "700": [16, 17, 18, 19, 21, 23, 29, 30, 32, 55, 60, 61, 62, 63, 64, 65, 69, 72, 73, 76, 77, 99, 109, 110, 117, 118, 121, 125, 126, 127, 244, 273, 288, 293, 294, 302, 310], "wdir": [16, 17, 21, 110, 134, 238, 249, 276, 304], "165": [16, 17, 21, 110, 163, 296], "180": [16, 17, 21, 79, 110, 163, 260, 273, 296, 310], "190": [16, 17, 21, 110, 260, 261, 296], "210": [16, 17, 21, 110, 114, 297], "220": [16, 17, 21, 110, 233, 310], "sped": [16, 17, 21, 110, 238, 249, 306], "15": [16, 17, 18, 21, 23, 29, 30, 32, 55, 60, 61, 62, 63, 64, 65, 66, 67, 68, 72, 73, 76, 77, 83, 85, 89, 90, 99, 107, 109, 110, 114, 117, 118, 121, 125, 126, 128, 133, 161, 163, 193, 226, 232, 233, 239, 240, 259, 260, 261, 264, 265, 266, 267, 272, 273, 274, 278, 285, 288, 291, 292, 296, 297, 300, 301, 302, 308, 310], "20": [16, 17, 18, 21, 23, 29, 32, 33, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 83, 93, 94, 96, 99, 101, 109, 110, 112, 114, 117, 118, 121, 125, 133, 151, 163, 232, 233, 249, 260, 261, 264, 266, 267, 268, 272, 273, 275, 276, 281, 282, 283, 284, 287, 292, 294, 296, 297, 300, 301, 302, 308, 310], "30": [16, 17, 18, 21, 23, 29, 32, 55, 60, 61, 62, 63, 64, 65, 72, 73, 76, 77, 89, 90, 91, 99, 101, 109, 110, 117, 118, 121, 125, 130, 163, 194, 226, 229, 232, 235, 236, 240, 244, 246, 247, 251, 253, 254, 255, 260, 264, 265, 266, 276, 278, 281, 282, 287, 290, 291, 296, 301, 302, 310], "50": [16, 17, 18, 21, 23, 26, 29, 32, 53, 54, 55, 59, 60, 61, 63, 64, 65, 72, 73, 76, 77, 96, 99, 109, 110, 112, 117, 118, 121, 125, 163, 226, 232, 235, 236, 240, 246, 247, 249, 251, 253, 254, 255, 258, 267, 268, 272, 275, 276, 279, 282, 283, 284, 287, 288, 290, 296, 302, 304, 310], "knot": [16, 17, 21, 101, 110, 112, 167, 168, 231, 232, 233, 238, 249, 258, 268, 273, 275, 276, 279, 281, 282, 284, 297, 301, 306, 310], "41943319": 16, "11": [16, 19, 40, 50, 76, 161, 163, 239, 258, 260, 287, 288, 289, 296, 297, 299, 300, 302, 310], "6920573": 16, "higher": [16, 17, 18, 19, 21, 29, 30, 32, 44, 45, 53, 54, 58, 60, 62, 63, 64, 65, 69, 72, 73, 76, 77, 78, 81, 83, 87, 110, 113, 117, 118, 132, 141, 145, 146, 147, 148, 176, 283, 284], "even": [16, 17, 18, 19, 21, 29, 32, 44, 45, 53, 60, 62, 63, 64, 65, 72, 73, 76, 77, 110, 113, 117, 118, 132, 143, 145, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 227, 284, 300, 301, 302, 304], "advanc": [16, 17, 55, 59, 63, 64, 65, 72, 73, 76, 92, 101, 110, 112, 113, 117, 121, 134, 136, 179, 194, 204, 227, 229, 230, 271, 293, 306, 310], "complex": [16, 17, 55, 59, 63, 64, 65, 72, 73, 76, 92, 101, 110, 112, 113, 117, 121, 134, 136, 179, 194, 204, 227, 266, 271, 276, 283, 286, 289, 293, 297, 300, 310], "layout": [16, 17, 55, 59, 63, 64, 65, 72, 73, 76, 92, 101, 110, 112, 113, 117, 121, 134, 136, 179, 181, 194, 196, 197, 204, 271, 275, 286, 289, 291, 292, 293, 296, 297, 310], "mover": 17, "supercel": [17, 21, 101, 112, 226, 232, 249], "storm": [17, 21, 101, 110, 112, 163, 226, 232, 249, 287, 290, 306], "motion": [17, 21, 86, 110, 226, 232, 249, 306], "bunker": [17, 226, 232, 249], "method": [17, 53, 54, 133, 141, 148, 158, 159, 160, 161, 162, 163, 164, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 205, 209, 214, 223, 226, 265, 277, 278, 287, 292, 297, 300, 302, 306], "physic": [17, 226, 300, 310], "galilean": 17, "invari": 17, "predict": [17, 226, 277, 290, 302, 306], "well": [17, 54, 103, 162, 176, 179, 181, 227, 229, 230, 231, 238, 239, 241, 243, 248, 250, 252, 264, 268, 272, 277, 283, 284, 296, 297, 300, 302, 306, 308, 310], "properli": [17, 219, 227, 272, 302, 304], "flow": [17, 235, 236, 240, 246, 247, 251, 253, 254, 255], "summari": [17, 158, 159, 160, 161, 162, 163, 164, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 209, 297, 302, 310], "bunkers2000": [17, 226], "non": [17, 33, 41, 42, 87, 93, 100, 124, 131, 147, 221, 226, 229, 300, 306], "weight": [17, 24, 27, 62, 63, 66, 67, 89, 90, 103, 106, 117, 128, 129, 130, 132, 139, 149, 150, 232, 256, 257, 265, 271, 306], "deviat": [17, 103, 227, 306], "sfc": [17, 18, 29, 100], "7": [17, 18, 19, 21, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 82, 86, 99, 109, 110, 117, 118, 121, 125, 126, 127, 134, 139, 161, 163, 172, 227, 231, 232, 236, 238, 241, 243, 246, 248, 249, 250, 252, 258, 260, 265, 266, 267, 272, 275, 277, 279, 281, 282, 284, 287, 288, 294, 296, 297, 301, 302, 310], "head": [17, 227, 306], "tail": [17, 301], "right_mov": 17, "left_mov": 17, "wind_mean": 17, "400": [17, 18, 21, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 110, 117, 118, 121, 125, 282, 288, 296], "250": [17, 18, 21, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 110, 114, 117, 118, 121, 125, 231, 232, 249, 258, 272, 273, 288, 296, 302], "1500": [17, 21, 101, 110], "3100": [17, 21, 110], "5720": [17, 21, 110], "7120": [17, 21, 110], "60": [17, 18, 21, 23, 29, 32, 51, 55, 60, 61, 63, 64, 65, 69, 72, 73, 76, 77, 84, 99, 109, 110, 117, 118, 121, 125, 163, 231, 232, 249, 258, 260, 265, 266, 272, 275, 281, 287, 296, 297, 300, 301, 310], "22": [17, 18, 23, 25, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 79, 99, 118, 121, 125, 163, 226, 249, 264, 265, 273, 282, 296, 302, 310], "09618172": 17, "12": [17, 19, 30, 68, 76, 85, 88, 101, 129, 161, 162, 163, 192, 226, 232, 248, 249, 258, 259, 260, 264, 266, 268, 270, 272, 273, 276, 278, 282, 283, 284, 285, 287, 288, 290, 291, 292, 294, 296, 297, 302, 306], "43406736": 17, "02861839": 17, "36": [17, 18, 23, 32, 55, 60, 61, 63, 65, 72, 73, 76, 77, 99, 118, 121, 163, 266, 282, 287, 296, 302, 310], "76517865": 17, "06240005": 17, "24": [17, 19, 24, 117, 118, 151, 163, 233, 242, 246, 258, 264, 266, 273, 287, 296, 302, 306], "599623": 17, "dewpoint": [18, 19, 23, 26, 27, 29, 32, 33, 55, 59, 60, 61, 63, 64, 65, 72, 73, 76, 77, 78, 83, 88, 95, 99, 107, 113, 114, 121, 123, 130, 133, 187, 194, 231, 232, 238, 241, 243, 244, 249, 250, 252, 256, 257, 267, 271, 273, 275, 276, 279, 281, 282, 284, 292, 300, 301, 302, 304, 306, 310], "parcel_profil": [18, 30, 32, 59, 60, 61, 64, 69, 72, 77, 78, 113, 231, 232, 249, 301, 304, 310], "which_lfc": 18, "which_el": 18, "cape": [18, 29, 32, 60, 64, 72, 101, 112, 113, 161, 194, 230, 231, 232, 249, 296, 301, 302, 306, 309], "cin": [18, 64, 72, 113, 194, 231, 232, 249, 301, 302, 306], "convect": [18, 19, 29, 60, 64, 72, 113, 161, 181, 185, 186, 194, 226, 249, 271, 286, 289, 306], "avail": [18, 29, 33, 64, 72, 93, 113, 138, 142, 145, 147, 163, 165, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 224, 226, 227, 229, 230, 285, 292, 295, 297, 300, 302, 306, 308, 310, 311], "energi": [18, 29, 31, 64, 70, 72, 113, 119, 194, 306], "inhibit": [18, 64, 72, 113, 161, 194, 306], "upper": [18, 29, 44, 45, 59, 64, 72, 76, 113, 134, 179, 181, 185, 187, 194, 231, 232, 233, 234, 238, 241, 243, 249, 250, 252, 259, 271, 273, 275, 276, 279, 281, 282, 283, 286, 289, 297, 298, 299, 306, 310], "parcel": [18, 24, 29, 30, 31, 32, 33, 59, 60, 61, 64, 65, 69, 70, 72, 73, 76, 77, 78, 93, 99, 113, 128, 129, 130, 133, 194, 231, 232, 244, 249, 282, 301, 306, 310], "path": [18, 29, 32, 60, 64, 72, 122, 142, 173, 174, 175, 177, 182, 183, 184, 192, 193, 194, 195, 198, 199, 200, 201, 202, 203, 209, 227, 232, 258, 277, 278, 301, 302], "integr": [18, 63, 64, 69, 72, 113, 163, 227, 229, 259, 302, 306], "lfc": [18, 19, 32, 64, 72, 113, 249, 304, 306], "el": [18, 19, 60, 64, 72, 113, 194, 249, 296, 304, 306], "intersect": [18, 19, 32, 36, 60, 64, 72, 74, 113], "logarithm": [18, 36, 64, 72, 113, 151, 258, 301, 306], "interest": [18, 30, 61, 69, 76, 77, 78, 227, 229, 230, 296, 302], "choos": [18, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 272, 287], "valid": [18, 41, 42, 104, 124, 147, 158, 159, 160, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 223, 258, 266, 272, 277, 287, 290, 291, 294, 297, 302, 306, 310], "wide": [18, 32, 60, 163, 230, 302], "most_cap": [18, 32, 60], "dewpoint_from_relative_humid": [18, 23, 25, 27, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 121, 273, 300, 302, 304, 310], "1008": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125], "950": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 83, 99, 109, 117, 118, 121, 125, 258, 288], "900": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 83, 99, 109, 117, 118, 121, 125, 272, 288], "800": [18, 23, 29, 32, 33, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 80, 93, 99, 109, 117, 118, 121, 125, 288], "750": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 101, 109, 117, 118, 121, 125, 288, 289, 292], "650": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 288], "600": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 194, 288], "550": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 288], "450": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 100, 109, 117, 118, 121, 125, 258, 288], "350": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 226, 282, 288], "300": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 69, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 163, 233, 241, 260, 283, 288, 297, 302], "200": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 69, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 246, 282, 288, 302], "175": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 163, 288], "150": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 101, 109, 117, 118, 121, 125, 204, 206, 277, 278, 287, 288, 296, 297], "125": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 112, 114, 117, 118, 121, 125, 258, 259, 260, 288, 296, 297], "80": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 129, 130, 163, 179, 194, 227, 232, 235, 247, 251, 253, 254, 255, 265, 267, 275, 281, 287, 296, 301], "70": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 237, 266, 267, 268, 276, 287, 296, 297, 310], "40": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 171, 172, 176, 178, 180, 188, 189, 190, 191, 223, 231, 232, 235, 236, 240, 246, 247, 249, 251, 253, 254, 255, 265, 266, 275, 281, 287, 296, 301, 302], "28": [18, 23, 29, 32, 55, 59, 60, 61, 63, 64, 65, 67, 69, 72, 73, 76, 77, 83, 99, 109, 117, 118, 121, 125, 163, 226, 242, 264, 296, 302, 310], "23": [18, 23, 32, 55, 60, 61, 63, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 163, 226, 236, 242, 258, 264, 283, 284, 287, 296, 302, 310], "9": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 87, 99, 104, 109, 117, 118, 121, 125, 161, 163, 176, 178, 180, 188, 191, 226, 231, 232, 233, 246, 248, 249, 250, 258, 265, 266, 272, 275, 277, 279, 281, 285, 287, 288, 294, 295, 296, 300, 301, 302, 306, 308, 310], "18": [18, 19, 23, 29, 32, 33, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 89, 90, 99, 108, 109, 117, 118, 121, 123, 125, 163, 226, 232, 258, 264, 267, 268, 270, 272, 284, 288, 296, 302, 306, 308, 310], "4": [18, 19, 23, 27, 29, 32, 38, 55, 60, 61, 63, 64, 65, 67, 68, 72, 73, 76, 77, 81, 85, 89, 90, 99, 103, 109, 117, 118, 121, 125, 139, 143, 161, 163, 176, 178, 180, 181, 188, 191, 195, 210, 226, 227, 232, 236, 238, 242, 246, 248, 249, 250, 258, 259, 260, 264, 265, 266, 267, 268, 272, 273, 276, 277, 282, 284, 287, 288, 290, 294, 296, 300, 302, 306, 310], "10": [18, 23, 24, 26, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 83, 91, 99, 100, 107, 109, 112, 117, 118, 121, 125, 134, 161, 163, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 182, 183, 184, 187, 188, 189, 190, 191, 193, 196, 198, 199, 200, 201, 202, 203, 204, 206, 226, 229, 230, 232, 233, 234, 239, 244, 249, 259, 264, 265, 266, 267, 268, 272, 273, 274, 276, 282, 283, 284, 287, 291, 292, 293, 294, 296, 297, 299, 300, 302, 304, 305, 306, 310], "8": [18, 19, 23, 29, 30, 31, 32, 55, 60, 61, 63, 64, 65, 69, 70, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 139, 161, 163, 194, 210, 226, 232, 233, 241, 246, 248, 250, 258, 259, 260, 261, 264, 266, 272, 273, 274, 276, 278, 282, 284, 287, 288, 290, 292, 296, 297, 300, 302, 310], "21": [18, 19, 23, 29, 32, 40, 50, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 163, 232, 238, 244, 249, 266, 288, 296, 302, 305, 310], "52": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 161, 226, 239, 287, 296, 300], "59": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 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61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 296, 302, 310], "degc": [18, 19, 23, 24, 26, 29, 30, 31, 32, 33, 55, 59, 60, 61, 62, 63, 64, 65, 67, 69, 70, 72, 73, 76, 77, 83, 85, 88, 89, 90, 91, 93, 94, 95, 96, 99, 107, 109, 117, 118, 121, 125, 126, 127, 128, 130, 133, 223, 231, 232, 241, 242, 243, 244, 249, 250, 252, 273, 275, 279, 281, 282, 284, 294, 297, 300, 301, 302, 304, 306, 310], "85": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 118, 121, 171, 232, 249, 260, 261, 285, 290, 296], "65": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 67, 72, 73, 76, 77, 99, 118, 121, 163, 233, 258, 272, 294, 296, 297], "39": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 118, 121, 258, 296, 302], "82": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 118, 121, 163, 244, 296], "72": [18, 23, 29, 31, 32, 55, 60, 61, 63, 64, 65, 70, 72, 73, 76, 77, 99, 118, 121, 249, 292, 296, 310], "86": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 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114, 167, 168, 231, 232, 248, 277, 278, 306], "thick": [19, 44, 45, 63, 65, 67, 88, 117, 118, 176, 232, 249, 256, 257, 271, 306], "pick": [19, 32, 60, 303], "everi": [19, 59, 161, 162, 163, 246, 279, 295, 300], "lcl": [19, 33, 60, 76, 77, 78, 93, 101, 133, 194, 231, 232, 244, 249, 282, 301, 304, 306], "mpcalc": [19, 117, 231, 232, 235, 236, 237, 239, 240, 242, 245, 246, 247, 248, 249, 251, 253, 254, 255, 258, 272, 275, 276, 279, 281, 282, 294, 297, 300, 301, 302, 310, 311], "993": [19, 133], "957": 19, "886": 19, "813": [19, 302], "798": [19, 302], "732": 19, "716": 19, "mbar": [19, 80, 116, 239, 279, 284, 300], "34": [19, 163, 232, 266, 272, 288, 294, 296, 302, 310], "27": [19, 52, 82, 123, 163, 242, 264, 265, 272, 287, 296, 300, 302, 310], "19": [19, 23, 25, 76, 85, 91, 108, 163, 258, 260, 264, 267, 268, 284, 287, 296, 302, 310], "17": [19, 25, 29, 76, 95, 163, 176, 178, 180, 188, 191, 226, 249, 258, 264, 267, 272, 284, 290, 294, 296, 302], "16": [19, 63, 67, 68, 89, 90, 161, 163, 176, 178, 180, 188, 191, 226, 233, 236, 240, 246, 258, 260, 264, 267, 272, 273, 276, 282, 287, 288, 296, 302, 310], "ccl_p": 19, "ccl_t": 19, "t_c": 19, "758": 19, "348093": 19, "38": [19, 163, 226, 265, 267, 268, 285, 287, 296, 302, 310], "4336274": 19, "degree_celsiu": [19, 25, 26, 27, 29, 30, 32, 55, 59, 60, 63, 65, 69, 73, 76, 130, 133, 239, 244, 249, 300, 301, 302], "outlin": [20, 24, 33, 39, 49, 51, 84, 85, 91, 93, 128, 129, 130, 137, 186, 205, 227, 306], "pg": [20, 24, 39, 40, 48, 50, 51, 60, 66, 68, 84, 94, 108, 110, 123, 128, 129, 130, 132], "370": 20, "371": [20, 285, 289], "forc": [20, 40, 50, 162, 223, 226, 239, 287, 306], "u_storm": [21, 232, 249, 304], "v_storm": [21, 232, 249, 304], "critic": [21, 227, 249], "inflow": [21, 249], "500m": 21, "90": [21, 79, 163, 232, 273, 287, 290, 294, 296, 306, 310], "ingest": 21, "pure": [21, 230], "streamwis": 21, "its": [21, 47, 57, 66, 73, 106, 138, 141, 148, 161, 162, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 228, 230, 231, 232, 265, 266, 272, 278, 295, 297, 301, 302, 308], "updraft": 21, "esterheld2008": [21, 226], "show": [21, 185, 231, 232, 233, 234, 235, 236, 237, 240, 241, 245, 246, 247, 248, 251, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 267, 268, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 287, 288, 290, 291, 292, 294, 296, 297, 300, 301, 306, 307, 310], "significantli": 21, "tornad": [21, 226], "tend": [21, 230], "occur": [21, 60, 306], "0942521": 21, "data_x": [22, 75, 115], "data_i": [22, 75, 115], "component_tangenti": [22, 115], "component_norm": [22, 75], "tangential_compon": [22, 75, 306], "normal_compon": [22, 115, 306], "analysi": [22, 54, 71, 80, 81, 90, 141, 181, 185, 187, 204, 205, 226, 265, 268, 271, 277, 286, 288, 289, 293, 297, 301, 302, 305, 306, 310], "total": [23, 24, 27, 33, 34, 39, 66, 67, 80, 85, 87, 89, 90, 91, 93, 94, 110, 114, 116, 120, 121, 123, 125, 126, 127, 128, 130, 139, 163, 226, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 296, 297, 299, 300, 301, 302, 306], "deriv": [23, 37, 40, 41, 42, 47, 50, 55, 57, 61, 67, 81, 89, 90, 97, 99, 114, 121, 124, 125, 131, 167, 168, 223, 226, 230, 306], "miller1972": [23, 114, 121, 125, 226], "ct": [23, 121, 296], "td850": [23, 55, 121], "t500": [23, 55, 61, 99, 121, 125], "part": [23, 125, 158, 159, 160, 194, 226, 227, 229, 230, 295, 296, 297, 300, 302, 306, 307], "7741081": 23, "delta_degree_celsiu": [23, 61, 99, 121, 125, 249, 300], "mixing_ratio": [24, 68, 89, 107, 108, 117, 123, 126, 127, 128, 129, 130, 194, 252, 282, 304, 306], "molecular_weight_ratio": [24, 66, 117, 128, 129, 130, 139], "62195691": [24, 128], "mass": [24, 63, 66, 89, 117, 123, 128, 129, 139, 302, 306], "molecular": [24, 27, 66, 67, 89, 90, 117, 128, 129, 130, 139], "constitu": [24, 66, 117, 128, 129, 130], "water": [24, 25, 66, 83, 85, 94, 95, 117, 123, 128, 129, 130, 161, 204, 205, 226, 233, 262, 263, 271, 306], "vapor": [24, 25, 27, 66, 67, 85, 88, 89, 90, 91, 94, 95, 117, 123, 128, 129, 130, 139, 204, 205, 239, 262, 263, 271, 306], "epsilon": [24, 27, 66, 67, 69, 89, 90, 94, 117, 123, 128, 129, 130, 139], "approx0": [24, 66, 117, 128, 129, 130], "622": [24, 66, 117, 128, 129, 130], "kg": [24, 27, 66, 67, 68, 70, 94, 101, 107, 108, 112, 123, 128, 129, 139, 239, 246, 249, 272, 282, 288, 300, 306], "21307146": 24, "rho": [24, 126, 127, 260], "r_dt": 24, "vapor_pressur": [25, 66, 95, 239, 304, 306], "0291018": 25, "saturation_vapor_pressur": [25, 26, 85, 88, 91, 123, 306], "invert": [25, 51, 231, 232], "bolton1980": [25, 33, 93, 95, 226], "satur": [25, 29, 30, 60, 67, 69, 85, 88, 89, 90, 91, 93, 94, 95, 194, 226, 244, 306], "yield": [25, 63, 244, 297, 302, 306], "celsiu": [25, 95, 167, 168, 244, 279, 294, 297, 300, 306], "243": [25, 95], "log": [25, 53, 54, 144, 151, 194, 226, 231, 232, 265, 275, 279, 281, 301, 306, 310], "112": [25, 95, 296], "percent": [26, 85, 88, 89, 90, 91, 161, 266, 272, 300, 304, 310], "0536760815": 26, "meteogram": [26, 204, 271, 293, 306], "With": [26, 297, 298, 299, 310], "tutori": [26, 43, 59, 76, 103, 113, 134, 136, 167, 172, 176, 178, 179, 181, 185, 187, 188, 189, 190, 194, 223, 227, 229, 299, 300, 304, 309, 310, 311], "arg": [27, 44, 45, 53, 54, 62, 63, 132, 143, 151, 158, 159, 160, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 209, 218, 223, 304], "kwarg": [27, 37, 47, 53, 57, 58, 64, 72, 91, 97, 135, 158, 159, 160, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 209, 219, 223, 304], "specif": [27, 68, 70, 71, 85, 90, 107, 108, 116, 137, 139, 158, 159, 160, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 205, 208, 227, 230, 272, 284, 287, 295, 297, 300, 306], "unus": 27, "pend": 27, "deprec": [27, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 287, 291], "specific_humid": [27, 68, 70, 90, 258, 272, 288, 304], "dew": [27, 72, 87, 99, 167, 168, 194, 276, 283, 306], "79314079": 27, "made": [27, 227, 229, 232, 283, 296, 304, 306, 310], "relative_humidity_from_mixing_ratio": [27, 67, 90, 304], "emploi": [27, 67, 89, 90], "wmo8": [27, 67, 85, 89, 90, 91, 226], "eq": [27, 40, 50, 67, 89, 90, 296, 306], "see": [27, 38, 48, 49, 56, 119, 138, 141, 145, 147, 148, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 197, 215, 223, 227, 229, 236, 266, 291, 297, 300, 302, 304, 306, 307, 310, 311], "addit": [27, 49, 53, 54, 64, 72, 194, 196, 197, 229, 230, 272, 300, 302, 306, 310], "inform": [27, 37, 38, 47, 56, 57, 97, 119, 131, 145, 147, 157, 158, 159, 160, 162, 163, 164, 165, 168, 212, 213, 223, 227, 228, 229, 230, 259, 260, 261, 264, 265, 266, 268, 272, 278, 287, 295, 296, 300, 302, 304, 306, 307, 310, 311], "numer": [28, 36, 92, 131, 144, 194, 196, 197, 214, 223, 226, 297, 306, 310], "vec": [28, 52, 86, 122], "downward": [29, 306], "dcape": 29, "maximum": [29, 53, 54, 59, 73, 139, 163, 167, 168, 179, 223, 244, 265, 297, 306], "buoyanc": [29, 194], "descend": [29, 244], "descent": 29, "lower": [29, 53, 54, 146, 181, 226, 233, 234, 276, 283, 297, 306], "moist": [29, 69, 70, 76, 77, 78, 133, 194, 226, 244, 301, 306], "adiabat": [29, 60, 69, 76, 77, 78, 133, 139, 194, 244, 301, 306], "environment": [29, 32, 226, 272, 302], "wet": [29, 85, 91, 133, 161, 226, 306], "bulb": [29, 85, 91, 133, 226, 306], "remain": [29, 87, 227, 302], "throughout": [29, 102, 104, 105, 106, 215, 302, 304], "down_pressur": 29, "down_parcel_trac": 29, "1222": 29, "67968": 29, "50959548": 29, "20643425": 29, "237249": 29, "12607097": 29, "85045704": 29, "38243809": 29, "68671014": 29, "71808363": 29, "58203825": 29, "29053485": 29, "cape_cin": [29, 64, 72, 113, 249, 304, 306], "surface_based_cape_cin": [29, 232, 249, 302], "most_unstable_cape_cin": [29, 232, 249], "mixed_layer_cape_cin": [29, 232, 249], "emanuel1994": [29, 226], "reference_pressur": [30, 34, 69, 304], "process": [30, 69, 93, 179, 194, 227, 229, 291, 292, 302, 306], "lift": [30, 59, 60, 61, 69, 76, 77, 78, 99, 101, 194, 226, 231, 232, 244, 249, 301, 306], "conserv": [30, 302], "first": [30, 31, 33, 37, 47, 60, 62, 69, 77, 78, 81, 93, 103, 113, 114, 117, 118, 132, 156, 186, 194, 197, 209, 217, 227, 230, 231, 232, 244, 260, 276, 283, 284, 300, 301, 302, 306, 311], "element": [30, 69, 81, 171, 172, 181, 188, 189, 196, 227, 232, 276, 283, 284, 297, 306], "plev": [30, 69, 294], "65249458": 30, "92593808": 30, "91786723": 30, "moist_laps": [30, 76, 77, 78, 133, 194, 244, 304, 306], "liquid": [30, 69, 139, 163, 306], "complet": [30, 65, 69, 185, 227, 229, 230, 283, 284, 287, 291, 292, 297, 300], "reliabl": [30, 69], "ref_pressur": [30, 69, 304], "mountain": [30, 59, 69, 256, 257, 271, 306], "problem": [30, 59, 69, 227, 230, 256, 257, 271, 301, 302, 303], "static": [31, 55, 70, 86, 109, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 227, 230, 256, 257, 271, 273, 306], "two": [31, 36, 56, 58, 74, 81, 102, 103, 104, 120, 121, 122, 142, 165, 171, 172, 176, 178, 180, 181, 188, 189, 191, 194, 198, 199, 200, 226, 227, 230, 232, 265, 266, 287, 300, 302, 306, 308, 310], "292": [31, 258, 272, 273, 288, 302], "268557": 31, "kilojoul": [31, 70], "montgomery_streamfunct": [31, 272, 306], "c_": [31, 69, 70, 110, 139], "pd": [31, 69, 70, 139, 231, 232, 238, 241, 243, 249, 250, 252, 268, 275, 276, 279, 281, 282, 284, 291, 292, 301, 306], "gz": [31, 70, 71, 161, 162, 260, 310], "parcel_temperature_profil": [32, 60, 304], "last": [32, 53, 102, 103, 104, 197, 209, 229, 231, 232, 306, 308, 311], "ideal": [32, 60, 227, 272, 284, 306], "fewer": [32, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191], "whose": [32, 60, 62, 103, 132, 171, 172, 176, 178, 180, 181, 186, 187, 188, 189, 190, 191, 306], "farthest": [32, 60], "awai": [32, 60, 264, 268], "111": [32, 272, 294, 296], "739463": 32, "3112792": 32, "l": [33, 93, 122, 226, 232, 277, 278, 296], "theta_": [33, 93, 241], "dl": [33, 93, 296], "28r": [33, 93], "final": [33, 93, 217, 227, 229, 242, 244, 268, 287, 297, 300, 302], "3036": [33, 93], "r": [33, 51, 66, 83, 84, 86, 93, 117, 123, 149, 150, 161, 163, 226, 231, 232, 233, 246, 260, 265, 266, 272, 273, 275, 279, 281, 282, 301, 305, 306, 310], "448r": [33, 93], "353": 33, "937994": 33, "kelvin": [33, 62, 80, 93, 116, 117, 128, 129, 194, 236, 241, 242, 243, 246, 250, 272, 300, 302, 306], "accord": [33, 93, 101, 223], "daviesjones2009": [33, 93, 226], "accur": [33, 93, 226], "iter": [33, 53, 54, 59, 93, 133, 164, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 266], "formul": [33, 35, 37, 54, 93, 97, 226], "exner": 34, "p_0": [34, 51, 80, 84, 116, 139], "kappa": [34, 80, 116, 139, 149, 150, 265], "visa": [34, 302], "versa": [34, 302], "against": [34, 227, 229, 230, 306], "p0": [34, 139], "temperature_from_potential_temperatur": [34, 304], "arr": [35, 217], "from_below": 35, "surround": 35, "within": [35, 73, 103, 109, 149, 150, 176, 178, 180, 181, 187, 188, 191, 223, 227, 229, 230, 264, 265, 266, 287, 295, 296, 306, 308, 310], "good": [35, 215, 227, 231, 232, 275, 281, 301, 310], "list": [35, 53, 62, 92, 132, 142, 143, 148, 154, 155, 156, 158, 159, 160, 162, 163, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 207, 209, 212, 213, 225, 226, 227, 229, 230, 258, 264, 265, 266, 267, 268, 272, 273, 276, 282, 294, 296, 297, 303, 305, 306, 310, 311], "These": [35, 137, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 196, 223, 230, 266, 301, 302, 304, 306, 308, 311], "numpi": [35, 76, 77, 87, 100, 106, 122, 142, 145, 146, 149, 150, 152, 153, 176, 178, 214, 217, 219, 229, 230, 232, 233, 242, 244, 248, 249, 258, 260, 261, 264, 265, 266, 267, 268, 272, 273, 278, 279, 282, 284, 300, 302, 306, 308, 310], "get": [35, 103, 160, 161, 164, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 227, 237, 258, 260, 268, 272, 276, 279, 284, 291, 292, 295, 296, 307, 311], "expect": [35, 81, 227, 244, 277, 284, 300, 304, 306], "extra": [35, 193, 232, 284], "slice": [35, 141, 148, 258, 297], "ellipsi": 35, "necessari": [35, 168, 181, 194, 196, 227, 229, 230, 266, 277, 300], "boolean": [35, 87, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 306], "column": [35, 158, 159, 160, 165, 167, 168, 169, 181, 186, 220, 238, 241, 243, 250, 252, 284, 287, 288, 290, 306], "actual": [35, 58, 95, 103, 196, 197, 224, 229, 232, 276, 283, 284, 297, 300, 302], "had": [35, 227, 297, 304], "bound": [35, 143, 151, 179, 272, 275, 276, 281, 283, 284, 294, 306], "desir": [35, 53, 54, 59, 81, 87, 143, 146, 151, 171, 172, 176, 178, 180, 181, 187, 188, 189, 190, 191, 219, 244, 272, 294, 296, 297, 300, 302, 306], "search": [35, 53, 54, 145, 146, 147, 169, 227, 266, 295, 303, 304, 306], "One": [35, 53, 54, 138, 160, 163, 230, 297, 302, 304, 310], "more": [35, 38, 56, 87, 102, 103, 104, 105, 106, 119, 120, 145, 147, 181, 187, 188, 229, 230, 231, 232, 271, 272, 276, 283, 296, 297, 300, 301, 302, 304, 306, 307, 310, 311], "proce": [35, 302], "log_x": 36, "best": [36, 176, 178, 180, 188, 191, 207, 230, 300, 302, 310, 311], "estim": [36, 146, 230, 232, 249, 266, 306], "share": [36, 302, 303], "common": [36, 74, 146, 171, 172, 187, 188, 189, 190, 227, 230, 244, 249, 288, 291, 292, 297, 298, 302, 304, 310], "increas": [36, 81, 103, 138, 179, 205, 227, 232], "decreas": [36, 103], "implicitli": 36, "regularli": [37, 47, 57, 97], "vari": [37, 47, 53, 54, 57, 97, 103, 306], "neither": [37, 47, 57, 97], "nor": [37, 47, 57, 97], "belong": [37, 47, 57, 97, 223], "backward": [37, 97, 228, 302], "edg": [37, 97, 102, 104, 105, 106, 161, 181, 186, 260, 266, 306], "center": [37, 92, 97, 149, 150, 169, 181, 187, 196, 197, 226, 232, 266, 272, 273, 276, 277, 278, 283, 287, 288, 290, 294, 297, 306], "elsewher": [37, 97], "irregular": [37, 97, 294], "handl": [37, 97, 143, 151, 161, 162, 163, 171, 172, 176, 178, 180, 181, 188, 189, 190, 191, 194, 221, 223, 227, 229, 237, 245, 259, 260, 271, 277, 284, 293, 297, 300, 302, 304, 310], "explicitli": [37, 97, 304, 306], "bowen2005": [37, 97, 226], "ndarrai": [37, 97, 100, 106, 122, 142, 145, 146, 147, 149, 150, 152, 153, 214, 217, 300], "integ": [37, 47, 57, 97, 103, 167, 168, 171, 172, 176, 178, 180, 181, 186, 187, 188, 189, 191, 223, 264, 284, 297, 300, 306], "string": [37, 41, 42, 47, 57, 97, 124, 158, 159, 160, 163, 165, 168, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 189, 191, 194, 196, 197, 205, 207, 212, 213, 214, 223, 227, 229, 237, 245, 260, 273, 276, 284, 296, 297, 300, 302, 306], "name": [37, 47, 54, 57, 97, 139, 157, 158, 161, 162, 163, 165, 167, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 212, 213, 220, 223, 227, 229, 230, 231, 232, 238, 241, 243, 249, 250, 252, 260, 261, 268, 272, 273, 275, 279, 281, 282, 284, 287, 288, 296, 297, 300, 301, 302, 306], "type": [37, 47, 57, 58, 92, 97, 145, 147, 161, 162, 163, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 196, 215, 223, 224, 230, 260, 277, 284, 297, 302, 306, 310], "implicit": [37, 47, 57, 97], "convers": [37, 47, 57, 97, 194, 196, 197, 217, 227, 233, 272, 276, 284, 300, 302, 310], "select": [37, 87, 97, 158, 159, 160, 163, 171, 172, 176, 178, 180, 187, 188, 189, 190, 191, 231, 232, 284, 287, 296, 297, 302, 306], "second_deriv": [37, 57, 304], "perturb": [38, 46, 56, 119], "friction": 38, "veloc": [38, 56, 119, 126, 127, 139, 163, 302], "seri": [38, 46, 56, 119, 179, 227, 273, 301, 306], "suppli": [38, 106, 119, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 302, 306, 310], "remov": [38, 56, 119, 154, 155, 156, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 227, 232, 268, 272, 287, 291, 297], "kinematic_flux": 38, "kinemat": [38, 39, 56, 226, 232, 273, 302], "flux": [38, 48, 56, 230, 306], "u_": [38, 110], "sqrt": [38, 119, 122, 248, 265, 306], "overlin": [38, 46, 56, 96, 119], "prime": [38, 46, 56, 119, 302], "math": [38, 90, 232, 300], "reduc": [38, 87, 93, 138, 171, 172, 187, 189, 230, 272, 276, 283, 297, 300, 306], "subject": [38, 56, 119, 161, 230], "pleas": [38, 56, 119, 227, 271, 287, 303, 304, 305, 306, 310], "garratt1994": [38, 56, 119, 226], "form": [39, 52, 54, 86, 168, 171, 172, 189, 266, 303], "petterssen": 39, "bluestein1993": [39, 81, 226], "248": 39, "253": [39, 272, 302], "co": [39, 181, 226, 265, 266, 296, 306], "beta": [39, 86], "deform": [39, 98, 111, 120, 240, 255, 256, 257, 271, 306], "dilat": 39, "isentrop": [39, 53, 54, 71, 81, 90, 204, 205, 226, 230, 271, 293, 306], "diverg": [39, 131, 230, 256, 257, 271, 304, 306], "To": [39, 52, 53, 76, 77, 117, 176, 178, 180, 188, 191, 223, 227, 229, 232, 244, 272, 297, 300, 301, 302, 306, 310], "100km": [39, 267], "3h": 39, "multipli": [39, 137, 171, 172, 176, 178, 180, 188, 189, 190, 191, 196, 266, 297, 300, 306], "08e9": 39, "thta": [39, 304, 306], "69": [40, 50, 71, 296, 310], "approxim": [40, 50, 92, 103, 226, 239], "variat": [40, 50, 227, 230, 306], "graviti": [40, 50, 139, 306], "phi": [40, 50, 163, 260], "r_e": [40, 50, 139], "gr_e": 40, "earth": [40, 50, 71, 171, 172, 189], "radiu": [40, 50, 87, 102, 139, 145, 147, 149, 150, 248, 265, 266, 283, 306], "geopot": [40, 50, 304], "9805": [40, 50], "19607": [40, 50], "29406": [40, 50], "999": [40, 287], "98867965": 40, "1999": [40, 226, 232], "98521653": 40, "2999": 40, "98947022": 40, "height_to_geopotenti": 40, "therebi": [40, 50], "account": [40, 50, 96, 227, 306], "effect": [40, 50, 103, 112, 138, 173, 174, 175, 177, 182, 183, 184, 192, 193, 195, 198, 199, 200, 201, 202, 203, 232, 249, 277, 278, 306], "centrifug": [40, 50], "neglect": [40, 50], "latitudin": [40, 50], "due": [40, 50, 230, 244, 266, 297], "eccentr": [40, 50, 139], "prior": [40, 50, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 306], "v0": [40, 50, 229, 302], "newton": [40, 50], "law": [40, 50], "return_onli": [41, 42, 124], "gradient": [41, 42, 48, 57, 71, 81, 256, 257, 271, 272, 304, 306], "sequenc": [41, 42, 47, 57, 79, 105, 124, 138, 158, 159, 160, 186, 196, 198, 199, 200, 207, 214, 217, 223, 230, 306], "df": [41, 42, 165, 220, 231, 232, 238, 241, 243, 249, 250, 252, 275, 277, 279, 281, 282, 296, 297, 301], "pattern": [41, 42, 124, 166, 227, 232, 248], "your": [41, 42, 58, 124, 131, 171, 172, 176, 178, 180, 188, 189, 190, 191, 223, 279, 296, 297, 300, 302, 303, 304, 305, 307, 308, 310], "pair": [41, 42, 141, 142, 145, 149, 152, 154, 155, 156, 197, 209, 258, 306], "vector_deriv": [41, 42, 47], "geospatial_laplacian": [41, 124], "laplacian": [42, 47, 304, 306], "geospatial_gradi": [42, 47, 124], "request": [44, 45, 103, 161, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 207, 223, 229, 230, 291, 302, 310], "subset": [44, 45, 92, 158, 159, 160, 187, 190, 223, 231, 232, 238, 241, 243, 244, 249, 250, 252, 275, 276, 279, 281, 282, 283, 284, 301, 302, 306], "dataset": [44, 45, 53, 54, 76, 77, 78, 134, 141, 148, 158, 159, 160, 171, 172, 176, 178, 180, 188, 189, 190, 191, 194, 204, 223, 224, 230, 231, 232, 233, 235, 236, 240, 246, 247, 251, 253, 254, 255, 258, 259, 271, 272, 275, 279, 281, 284, 286, 288, 289, 294, 297, 301], "variabl": [44, 45, 49, 53, 54, 56, 62, 63, 78, 132, 146, 149, 152, 161, 165, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 223, 226, 230, 231, 232, 233, 249, 258, 259, 265, 272, 273, 275, 276, 279, 281, 282, 284, 288, 294, 297, 301, 302, 306, 310], "with_agl": [45, 304], "subtract": [45, 55, 300, 306], "minimum": [45, 87, 145, 147, 149, 150, 229, 297, 306], "you": [46, 81, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 227, 229, 237, 278, 283, 284, 291, 292, 295, 296, 297, 300, 302, 303, 304, 307, 308, 310], "wish": [46, 171, 223, 227, 233, 297, 306], "produc": [46, 176, 178, 180, 188, 191, 229, 297, 306], "about": [46, 157, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 230, 297, 300, 301, 302, 304, 306, 307, 309, 310], "ax": [47, 57, 102, 103, 104, 138, 179, 181, 194, 196, 197, 205, 223, 231, 232, 233, 234, 235, 236, 240, 242, 246, 247, 248, 251, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 272, 273, 275, 276, 277, 278, 279, 281, 282, 283, 284, 294, 296, 301, 302, 304, 306, 310], "length": [47, 57, 103, 142, 171, 172, 179, 181, 186, 187, 192, 193, 226, 227, 235, 236, 240, 247, 251, 253, 254, 255, 258, 268, 272, 288, 297, 300, 301, 302, 306], "In": [47, 57, 103, 135, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 227, 229, 230, 272, 284, 291, 292, 294, 297, 300, 301, 302, 303, 304, 306, 308, 310, 311], "gener": [47, 57, 145, 147, 149, 150, 152, 153, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 209, 210, 223, 226, 227, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 267, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 290, 291, 292, 294, 295, 296, 297, 298, 300, 301, 302, 304, 305, 306, 308, 310], "There": [47, 57, 66, 97, 181, 227, 229, 232, 287, 297, 300, 302, 303, 310], "first_deriv": [47, 97, 124, 304, 306], "give": [47, 196, 223, 227, 229, 231, 232, 272, 275, 277, 281, 290, 300, 301, 306], "richardson": [48, 226, 230, 306], "ri": [48, 296], "holton2004": [48, 132, 226], "121": [48, 226, 302], "122": [48, 272, 296], "turbul": [48, 119, 163, 306], "rothfusz1990": [49, 226], "multi": [49, 81, 306, 310], "least": [49, 56, 58, 81, 87, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 227, 297, 302, 306], "regress": 49, "steadman1979": [49, 226], "what": [49, 145, 147, 149, 150, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 229, 230, 232, 233, 266, 287, 297, 310, 311], "nation": [49, 161, 226, 230, 258, 272, 287, 288, 302, 306], "weather": [49, 114, 167, 168, 214, 226, 230, 232, 249, 258, 267, 272, 276, 277, 283, 284, 288, 291, 295, 301, 302, 306], "servic": [49, 226, 227, 229, 230, 258, 288, 301, 302, 306, 310], "operation": [49, 232], "figur": [49, 181, 185, 194, 204, 206, 230, 231, 232, 233, 234, 235, 236, 240, 241, 246, 247, 251, 253, 254, 255, 258, 259, 260, 261, 267, 268, 272, 273, 275, 277, 279, 281, 282, 283, 284, 285, 291, 292, 294, 296, 297, 301, 310], "anderson2013": [49, 226], "depict": 49, "algorithm": [49, 59, 171, 249, 265, 266, 306], "further": [49, 102, 104, 105, 106, 181, 276, 283, 301], "discuss": [49, 228, 230, 300, 302, 303, 310], "apparent_temperatur": [49, 137, 304], "np": [50, 83, 87, 100, 116, 143, 151, 232, 233, 242, 244, 248, 249, 258, 260, 261, 264, 265, 266, 267, 268, 272, 273, 278, 279, 282, 296, 300, 302, 306, 310], "linspac": [50, 100, 232, 244, 261, 265, 266, 278, 310], "10000": [50, 297, 302], "num": 50, "11097983": 50, "1448853": 50, "10316465": 50, "39201": 50, "98726524": 50, "48994": 50, "79863351": 50, "58784": 50, "53871501": 50, "68571": 50, "20895435": 50, "78354": 50, "81079527": 50, "88135": 50, "34568058": 50, "97912": 50, "81505219": 50, "second": [50, 97, 103, 109, 110, 114, 126, 127, 134, 186, 223, 227, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 267, 268, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 290, 291, 292, 294, 296, 297, 300, 301, 302, 304, 306, 310], "geopotential_to_height": [50, 304], "u_geostroph": [52, 304], "v_geostroph": [52, 304], "inerti": [52, 306], "advect": [52, 246, 256, 257, 271, 304, 306], "hat": 52, "v_g": [52, 302], "u_g": [52, 302], "j": [52, 101, 112, 139, 226, 248, 249, 296, 300, 305, 306], "rochette2006": [52, 226], "mani": [52, 66, 94, 123, 188, 227, 230, 249, 264, 276, 283, 284, 301, 302, 303, 304, 306, 310, 311], "temperature_out": 53, "max_it": [53, 54, 59, 304], "ep": [53, 54, 59, 304], "1e": [53, 54, 59, 258, 272, 288, 297, 302, 304], "06": [53, 54, 109, 161, 258, 259, 289, 302], "bottom_up_search": [53, 54, 146], "isobar": [53, 54, 71, 78, 81, 146, 226, 234, 258, 272, 282, 288, 294, 302, 306], "ani": [53, 54, 102, 103, 104, 105, 106, 114, 143, 163, 167, 168, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 205, 215, 223, 227, 228, 229, 230, 231, 232, 234, 238, 241, 243, 249, 250, 252, 258, 272, 275, 276, 279, 281, 282, 283, 284, 296, 297, 300, 301, 302, 303, 304, 306, 310], "output": [53, 54, 58, 138, 142, 158, 159, 160, 167, 168, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 217, 230, 232, 233, 258, 272, 291, 294, 297, 302, 306], "error": [53, 54, 59, 226, 300, 302, 306, 310], "control": [53, 54, 87, 146, 162, 163, 171, 172, 179, 189, 193, 194, 196, 197, 229, 273, 274, 276, 283, 297, 306], "up": [53, 54, 76, 77, 78, 146, 164, 165, 194, 196, 197, 215, 222, 229, 241, 244, 265, 268, 272, 277, 283, 284, 294, 295, 297, 302, 305, 308], "down": [53, 54, 87, 133, 146, 227, 230, 244, 258, 302], "isentropic_interpolation_as_dataset": [53, 272], "linearli": [53, 54, 194], "natur": [53, 54, 147, 152, 153, 226, 269, 270, 271, 306], "linear": [53, 54, 141, 144, 145, 146, 147, 148, 306], "ziv1994": [53, 54, 226], "new": [53, 54, 141, 148, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 209, 217, 223, 226, 227, 228, 229, 230, 231, 232, 273, 275, 281, 287, 294, 295, 296, 297, 300, 301, 302, 303, 306, 307, 310], "Will": [53, 76, 77, 154, 155, 156, 194, 306], "theta_level": [53, 304], "coord": [54, 223, 302], "isentropic_interpol": [54, 272, 304], "reli": [54, 223, 227, 229, 230, 278, 300, 310], "upon": [54, 60, 101, 223, 227, 229, 310], "george1960": [55, 226], "t850": [55, 121, 125], "t700": 55, "td700": 55, "add": [55, 165, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 204, 205, 206, 209, 227, 229, 230, 231, 232, 238, 241, 243, 250, 252, 258, 266, 272, 275, 276, 278, 279, 281, 282, 283, 284, 287, 288, 290, 291, 292, 297, 300, 301, 302, 305, 306, 310], "moistur": [55, 96, 114, 227, 230, 244, 306], "850hpa": 55, "dryness": 55, "airmass": 55, "9395759": 55, "vel": 56, "mai": [56, 95, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 207, 227, 230, 232, 249, 302, 304, 305, 306, 309], "perform": [56, 145, 147, 149, 150, 194, 196, 229, 230, 232, 238, 239, 241, 243, 244, 249, 250, 252, 266, 276, 283, 284, 295, 298, 300, 301, 302, 306, 309], "notat": 56, "howev": [56, 93, 302, 304], "rewritten": 56, "computation": 56, "effici": [56, 310], "how": [56, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 197, 227, 229, 230, 231, 232, 237, 238, 241, 243, 244, 245, 249, 250, 252, 274, 275, 276, 279, 281, 282, 283, 284, 285, 287, 295, 300, 301, 302, 304, 306, 307, 308, 310, 311], "format": [58, 145, 157, 158, 159, 160, 161, 163, 168, 181, 187, 196, 197, 205, 211, 229, 245, 273, 276, 283, 284, 291, 292, 296, 297, 300, 305, 306], "At": [58, 81, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 227, 306], "sign": [58, 224, 303, 306], "accept": [58, 176, 178, 180, 181, 186, 189, 191, 223, 227, 230, 297, 302], "densifi": 58, "dask": [58, 223, 302], "lazi": [58, 223], "load": [58, 161, 223, 235, 236, 240, 246, 247, 251, 253, 254, 255, 302], "state": [59, 159, 160, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 226, 230, 233, 258, 267, 268, 272, 274, 276, 277, 283, 284, 287, 290, 291, 292, 294, 296, 297, 304, 306, 310], "943": 59, "33": [59, 126, 127, 130, 163, 226, 249, 265, 272, 276, 287, 288, 296, 302], "877": 59, "563323": 59, "26": [59, 63, 73, 163, 232, 236, 242, 246, 249, 264, 287, 288, 296, 297, 302, 306], "7734921": 59, "approach": [59, 152, 153, 230, 266, 267], "basic": [59, 226, 232, 248, 267, 297, 310], "until": [59, 244, 266, 301], "converg": [59, 306], "guarante": [59, 227], "finish": [59, 284], "virtu": 59, "counter": 59, "dewpoint_start": [60, 304], "forth": 60, "befor": [60, 74, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 205, 223, 227, 229, 244, 266, 297, 302, 304, 306, 310], "freeli": [60, 295], "rise": [60, 244, 301], "968": 60, "171757": 60, "8362857": 60, "galway1956": [61, 99, 226], "referenc": 61, "doswellschultz2006": [61, 226], "li": [61, 161, 249, 287, 296], "tp500": [61, 99], "42560365": 61, "arbitrari": [62, 106, 132, 194, 219, 223, 248, 306], "mpw": 62, "p_b": [62, 132], "dp": [62, 69, 83, 126, 127, 132], "being": [62, 85, 132, 134, 135, 173, 174, 175, 177, 182, 183, 184, 187, 194, 198, 199, 200, 201, 202, 203, 227, 230, 297, 302, 306, 309, 310], "continu": [62, 132, 227, 229, 230, 302, 306], "weighted_continuous_averag": 62, "298": [62, 302], "54368": 62, "over": [63, 138, 143, 151, 164, 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\ No newline at end of file
+Search.setIndex({"docnames": ["api/areas", "api/generated/metpy.calc", "api/generated/metpy.calc.absolute_momentum", "api/generated/metpy.calc.absolute_vorticity", "api/generated/metpy.calc.add_height_to_pressure", "api/generated/metpy.calc.add_pressure_to_height", "api/generated/metpy.calc.advection", "api/generated/metpy.calc.ageostrophic_wind", "api/generated/metpy.calc.altimeter_to_sea_level_pressure", "api/generated/metpy.calc.altimeter_to_station_pressure", "api/generated/metpy.calc.angle_to_direction", "api/generated/metpy.calc.apparent_temperature", "api/generated/metpy.calc.azimuth_range_to_lat_lon", "api/generated/metpy.calc.brunt_vaisala_frequency", "api/generated/metpy.calc.brunt_vaisala_frequency_squared", "api/generated/metpy.calc.brunt_vaisala_period", "api/generated/metpy.calc.bulk_shear", "api/generated/metpy.calc.bunkers_storm_motion", "api/generated/metpy.calc.cape_cin", "api/generated/metpy.calc.ccl", "api/generated/metpy.calc.coriolis_parameter", "api/generated/metpy.calc.critical_angle", "api/generated/metpy.calc.cross_section_components", "api/generated/metpy.calc.cross_totals", "api/generated/metpy.calc.density", "api/generated/metpy.calc.dewpoint", "api/generated/metpy.calc.dewpoint_from_relative_humidity", "api/generated/metpy.calc.dewpoint_from_specific_humidity", "api/generated/metpy.calc.divergence", "api/generated/metpy.calc.downdraft_cape", "api/generated/metpy.calc.dry_lapse", "api/generated/metpy.calc.dry_static_energy", "api/generated/metpy.calc.el", "api/generated/metpy.calc.equivalent_potential_temperature", "api/generated/metpy.calc.exner_function", "api/generated/metpy.calc.find_bounding_indices", "api/generated/metpy.calc.find_intersections", "api/generated/metpy.calc.first_derivative", "api/generated/metpy.calc.friction_velocity", "api/generated/metpy.calc.frontogenesis", "api/generated/metpy.calc.geopotential_to_height", "api/generated/metpy.calc.geospatial_gradient", 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148, 149, 150, 152, 153, 155, 176, 178, 179, 180, 188, 191, 204, 205, 226, 227, 230, 258, 264, 265, 266, 269, 270, 271, 272, 293, 302, 304, 306], "cross_sect": [2, 22, 75, 115, 122, 142, 148, 258, 293], "return": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 158, 159, 160, 161, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 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279, 281, 282, 284, 287, 288, 290, 296, 297, 300, 301, 302, 306, 308, 310], "circ": [9, 264, 306], "c": [9, 110, 179, 187, 194, 196, 197, 207, 226, 227, 231, 232, 236, 246, 258, 268, 272, 277, 283, 291, 294, 296, 297, 301, 305, 306, 308], "km": [9, 17, 110, 139, 163, 179, 232, 238, 242, 249, 267, 276, 302, 306], "288": [9, 116, 302], "k": [9, 33, 52, 55, 85, 93, 129, 139, 161, 164, 197, 209, 226, 227, 230, 231, 232, 233, 249, 250, 258, 259, 264, 265, 266, 268, 272, 273, 282, 294, 296, 300, 301, 302, 305, 306, 310], "190284": 9, "ga": [9, 18, 24, 29, 66, 117, 128, 129, 130, 139, 291, 296], "constant": [9, 18, 19, 29, 34, 71, 138, 194, 226, 231, 250, 306], "dry": [9, 24, 27, 30, 31, 60, 66, 67, 69, 71, 76, 77, 78, 85, 89, 90, 91, 96, 117, 126, 127, 128, 129, 130, 161, 194, 244, 301, 306], "air": [9, 11, 18, 24, 26, 27, 29, 31, 33, 44, 45, 49, 59, 64, 65, 66, 67, 68, 70, 71, 72, 73, 76, 80, 88, 89, 90, 93, 94, 95, 96, 113, 117, 126, 127, 128, 129, 130, 134, 137, 179, 181, 185, 187, 194, 226, 231, 232, 238, 239, 241, 243, 249, 250, 252, 271, 275, 279, 281, 282, 286, 289, 297, 298, 299, 306, 310], "And": [9, 239, 258, 297, 302], "solv": [9, 59, 227, 230, 303, 306], "result": [9, 30, 32, 35, 36, 47, 59, 60, 65, 69, 145, 147, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 219, 227, 239, 266, 283, 284, 291, 292, 297, 300, 301, 303, 306], "t_0": [9, 51, 84], "input_angl": 10, "full": [10, 17, 117, 118, 124, 171, 227, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 267, 268, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 290, 291, 292, 294, 296, 297, 300, 301, 302, 306, 310, 311], "fals": [10, 11, 35, 36, 38, 45, 53, 56, 87, 106, 119, 137, 143, 160, 166, 171, 172, 173, 174, 175, 176, 177, 178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 198, 199, 200, 201, 202, 203, 205, 223, 227, 231, 232, 233, 234, 238, 241, 243, 249, 250, 252, 258, 259, 260, 261, 272, 273, 274, 275, 279, 281, 282, 283, 288, 291, 292, 294, 296, 297, 301, 302, 304, 310, 311], "angl": [10, 21, 39, 79, 139, 249, 256, 257, 260, 271, 301, 306], "text": [10, 18, 29, 31, 51, 70, 79, 83, 101, 112, 128, 129, 130, 139, 160, 167, 168, 187, 196, 197, 205, 214, 230, 232, 237, 245, 266, 276, 277, 278, 283, 284, 290, 291, 297, 302, 303, 306], "greater": [10, 36, 103, 114, 194, 241, 296, 297, 306], "equal": [10, 47, 57, 106, 114, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 244, 248, 260, 261, 264, 265, 266, 306], "360": [10, 134, 135, 237, 260, 268, 273, 297], "405": [10, 273], "ne": [10, 79, 187, 196, 197, 245, 249, 273, 276, 283, 291, 292, 296, 297, 306], "round": [10, 237, 306], "nearest": [10, 92, 138, 141, 145, 147, 148, 160, 237, 279, 306], "355": 10, "404": 10, "nne": [10, 196], "float": [10, 12, 24, 53, 54, 59, 66, 87, 110, 117, 128, 129, 130, 138, 143, 145, 146, 147, 149, 150, 151, 155, 158, 163, 172, 173, 174, 175, 176, 177, 178, 180, 182, 183, 184, 186, 187, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 209, 212, 213, 227, 300, 306], "like": [10, 12, 20, 21, 35, 36, 37, 38, 44, 45, 46, 47, 53, 56, 57, 58, 63, 67, 74, 76, 77, 87, 92, 97, 102, 104, 105, 106, 110, 119, 141, 142, 143, 144, 145, 146, 147, 148, 150, 151, 153, 154, 155, 156, 157, 161, 162, 163, 164, 167, 169, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 196, 197, 209, 211, 212, 213, 219, 224, 227, 229, 230, 232, 276, 278, 283, 295, 297, 300, 302, 303, 309, 311], "45": [10, 18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 118, 121, 161, 226, 231, 232, 233, 245, 272, 273, 275, 281, 282, 285, 287, 294, 296, 302], "410": 10, "etc": [10, 79, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 227, 230, 297, 300, 302, 306], "bool": [10, 11, 35, 36, 38, 44, 45, 49, 53, 54, 56, 63, 65, 106, 119, 137, 138, 143, 146, 160, 166, 171, 172, 173, 174, 175, 176, 177, 178, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 194, 198, 199, 200, 201, 202, 203, 205, 223, 306], "true": [10, 11, 35, 38, 44, 45, 49, 53, 54, 56, 63, 65, 87, 106, 119, 137, 138, 146, 160, 162, 166, 171, 172, 173, 176, 177, 178, 180, 181, 182, 185, 186, 187, 188, 189, 190, 191, 194, 201, 223, 224, 227, 231, 232, 233, 237, 238, 241, 243, 249, 250, 252, 258, 259, 260, 261, 266, 267, 268, 272, 273, 275, 276, 277, 279, 281, 282, 283, 284, 291, 294, 297, 301, 304, 306], "south": [10, 79, 134, 135, 136, 145, 171, 172, 181, 189, 194, 245, 296, 297], "abbrevi": [10, 79, 181, 245, 297, 306], "detail": [10, 138, 141, 148, 181, 226, 227, 230, 295, 302, 306, 310, 311], "en": [10, 196, 237], "e": [10, 16, 25, 27, 33, 35, 36, 38, 51, 56, 66, 79, 81, 85, 87, 88, 91, 93, 95, 103, 119, 123, 139, 146, 157, 164, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 196, 197, 208, 209, 223, 226, 227, 229, 230, 231, 232, 239, 246, 258, 266, 284, 296, 297, 304, 305, 306, 310], "se": [10, 187, 196, 197, 273, 296], "relative_humid": [11, 26, 49, 67, 118, 258, 272, 273, 302, 304], "speed": [11, 38, 110, 114, 119, 134, 136, 137, 161, 167, 168, 179, 181, 185, 186, 231, 232, 233, 238, 241, 243, 249, 250, 252, 256, 257, 268, 271, 273, 275, 276, 279, 281, 282, 284, 286, 289, 297, 301, 304, 306, 310], "face_level_wind": [11, 137, 304], "mask_undefin": [11, 49, 137, 304], "current": [11, 37, 47, 49, 57, 93, 97, 137, 148, 167, 168, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 214, 223, 227, 229, 230, 266, 273, 276, 283, 296, 300, 302, 303, 306, 308], "appar": [11, 40, 50, 306], "base": [11, 13, 14, 17, 18, 19, 52, 60, 67, 81, 82, 89, 90, 92, 101, 109, 113, 117, 118, 132, 145, 149, 150, 163, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 192, 193, 197, 208, 209, 221, 223, 226, 227, 230, 231, 232, 248, 249, 261, 265, 297, 300, 302, 303, 306, 308], "chill": [11, 137, 226, 306], "heat": [11, 49, 56, 71, 139, 226, 244, 306], "appropri": [11, 37, 97, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 223, 227, 228, 229, 268, 272, 277, 284, 301, 302, 310], "nws10201": [11, 226], "rel": [11, 17, 18, 21, 23, 26, 29, 32, 49, 55, 59, 60, 61, 63, 64, 65, 67, 72, 73, 76, 77, 88, 89, 90, 91, 99, 101, 110, 112, 118, 121, 163, 171, 172, 176, 178, 180, 181, 186, 189, 191, 192, 193, 194, 196, 197, 205, 230, 249, 252, 254, 258, 265, 272, 273, 297, 300, 301, 302, 306], "humid": [11, 18, 23, 26, 27, 29, 32, 49, 55, 60, 61, 63, 64, 65, 67, 68, 70, 72, 73, 76, 77, 88, 89, 90, 91, 99, 107, 108, 118, 121, 226, 230, 252, 258, 272, 273, 300, 301, 302, 306], "express": [11, 26, 49, 67, 118, 302, 306], "unitless": [11, 49, 67, 89, 90, 91, 118, 194], "ratio": [11, 19, 24, 25, 26, 27, 49, 59, 66, 67, 68, 88, 89, 90, 91, 94, 108, 117, 118, 123, 126, 127, 128, 129, 130, 139, 194, 231, 232, 252, 256, 257, 265, 266, 271, 275, 281, 301, 306], "rang": [11, 12, 26, 49, 67, 118, 138, 163, 176, 178, 179, 180, 187, 191, 194, 212, 213, 223, 232, 235, 236, 240, 246, 247, 248, 249, 251, 253, 254, 255, 258, 260, 261, 267, 268, 272, 273, 294, 297, 306], "pass": [11, 49, 52, 56, 64, 67, 72, 102, 103, 104, 105, 106, 118, 143, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 193, 194, 196, 197, 217, 219, 227, 248, 272, 300, 306, 310, 311], "percentag": [11, 49, 67, 118, 287], "proper": [11, 35, 49, 67, 118, 163, 229, 300], "attach": [11, 37, 47, 49, 57, 67, 97, 118, 167, 168, 187, 219, 220, 249, 284, 292, 300, 302, 310], "10m": [11, 21, 137, 234, 296], "instead": [11, 25, 35, 40, 47, 50, 53, 54, 76, 77, 95, 137, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 227, 230, 272, 276, 283, 284, 287, 300, 302, 304], "face": [11, 137], "multipl": [11, 102, 104, 105, 106, 137, 143, 151, 164, 167, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 217, 223, 227, 229, 274, 284, 297, 300, 302, 304, 306], "correct": [11, 41, 42, 47, 49, 124, 126, 127, 131, 137, 214, 227, 228, 266, 284, 302, 306, 310], "flag": [11, 49, 137, 227, 229, 306], "whether": [11, 35, 49, 53, 54, 87, 137, 143, 146, 171, 172, 173, 174, 175, 176, 177, 178, 180, 182, 183, 184, 187, 189, 190, 191, 198, 199, 200, 201, 202, 203, 218, 223, 297, 306], "were": [11, 137, 163, 227, 229, 296, 300, 304], "facial": [11, 137], "thu": [11, 103, 137, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196], "mask": [11, 49, 87, 102, 104, 105, 106, 137, 217, 260, 268, 300, 306], "heat_index": [11, 137, 304, 306], "undefin": [11, 137, 186, 302], "For": [11, 37, 38, 56, 97, 103, 119, 161, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 214, 223, 227, 228, 229, 230, 233, 244, 258, 265, 266, 271, 273, 297, 300, 302, 304, 306, 307, 308, 310, 311], "50f": [11, 137], "mile": [11, 137, 306], "per": [11, 137, 171, 176, 178, 212, 213, 236, 239, 246, 300, 306], "hour": [11, 137, 163, 171, 172, 176, 178, 180, 187, 188, 189, 190, 191, 229, 236, 246, 273, 294, 297, 302, 306], "80f": [11, 49], "rh": [11, 18, 23, 26, 29, 32, 49, 55, 60, 61, 63, 64, 65, 67, 72, 73, 76, 77, 85, 88, 89, 90, 91, 99, 118, 121, 252, 258, 272, 273, 300, 304], "windchil": [11, 49, 306], "azimuth": [12, 58, 260, 261, 302, 306], "center_lon": 12, "center_lat": 12, "geod": [12, 58, 304], "polar": [12, 161, 181, 230, 301, 306], "lon": [12, 145, 163, 223, 224, 233, 235, 236, 240, 246, 247, 251, 253, 254, 255, 258, 259, 260, 261, 267, 268, 272, 276, 283, 284, 288, 294, 297, 302, 306, 310], "pole": 12, "origin": [12, 47, 73, 102, 104, 105, 106, 154, 155, 156, 165, 171, 172, 176, 178, 179, 180, 188, 189, 190, 191, 234, 244, 259, 282, 288, 291, 292, 301, 302, 306], "degre": [12, 16, 17, 21, 25, 58, 79, 95, 103, 110, 114, 134, 135, 139, 141, 142, 145, 167, 168, 171, 172, 176, 178, 180, 188, 189, 190, 191, 194, 224, 231, 232, 233, 237, 238, 239, 245, 248, 249, 258, 260, 261, 268, 273, 275, 276, 279, 281, 282, 284, 300, 301, 302, 306, 310], "typic": [12, 28, 131, 158, 231, 232, 275, 279, 281, 297, 301, 302], "decim": [12, 266, 306], "forward": [12, 37, 58, 97, 302, 304, 310], "spheric": [12, 40, 50, 58, 306], "ellipsoid": [12, 58, 302], "credit": 12, "brian": 12, "blaylock": 12, "nexrad": [12, 162, 163, 166, 204, 205, 262, 263, 271, 306, 310], "file": [12, 157, 158, 159, 160, 161, 162, 163, 167, 169, 176, 178, 180, 185, 188, 191, 204, 205, 208, 209, 210, 211, 212, 213, 229, 233, 234, 249, 257, 259, 263, 270, 273, 280, 284, 287, 288, 289, 290, 293, 297, 299, 302, 303, 305, 306, 310], "potential_temperatur": [13, 14, 15, 30, 34, 39, 48, 53, 54, 81, 116, 258, 304, 306], "brunt": [13, 14, 15, 306], "vaisala": [13, 14, 15, 306], "frequenc": [13, 14, 76, 77, 306], "theta": [13, 14, 33, 34, 39, 48, 80, 81, 93, 109, 116, 128, 304, 306], "formula": [13, 14, 18, 20, 23, 24, 25, 29, 33, 39, 40, 49, 50, 51, 52, 55, 61, 68, 71, 80, 81, 82, 83, 84, 86, 93, 95, 101, 108, 109, 112, 116, 121, 122, 125, 128, 129, 130, 132, 137, 226, 306, 310], "off": [13, 14, 117, 118, 193, 227, 248], "75": [13, 14, 18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 118, 121, 163, 195, 204, 206, 226, 232, 233, 236, 246, 260, 267, 272, 278, 285, 287, 290, 294, 296, 297, 302, 304], "77": [13, 14, 68, 296], "hobbs2006": [13, 14, 15, 24, 31, 40, 50, 70, 82, 117, 118, 126, 127, 129, 130, 226], "wrapper": [13, 142, 145, 147, 194, 219, 258, 297], "brunt_vaisala_frequency_squar": [13, 15, 304, 306], "filter": [13, 102, 103, 104, 105, 106, 162, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 306], "neg": [13, 29, 110, 114, 176, 194, 207, 306], "unstabl": [13, 72, 73, 112, 232, 249], "take": [13, 37, 47, 57, 76, 77, 78, 97, 141, 148, 157, 160, 168, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 197, 207, 227, 229, 230, 232, 239, 260, 276, 297, 300, 302, 311], "squar": [13, 14, 49, 103, 176, 178, 204, 206, 297, 306], "root": [13, 227, 229, 306], "potenti": [13, 14, 15, 18, 29, 30, 33, 34, 39, 48, 53, 54, 64, 72, 73, 80, 81, 82, 93, 113, 116, 128, 139, 146, 161, 194, 226, 256, 257, 258, 271, 288, 306], "unless": [13, 14, 15, 16, 30, 37, 58, 62, 97, 132, 302, 306], "case": [13, 14, 15, 37, 93, 97, 135, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 223, 227, 230, 231, 232, 244, 266, 272, 275, 279, 281, 292, 294, 297, 300, 301, 302, 306, 311], "metadata": [13, 14, 15, 141, 148, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 230, 259, 260, 261, 302, 305, 310, 311], "brunt_vaisala_period": [13, 14, 304, 306], "stabil": [14, 86, 109, 256, 257, 271, 306], "brunt_vaisala_frequ": [14, 15, 304, 306], "period": [15, 163, 306], "helper": [15, 179, 230, 302], "oscil": 15, "exercis": 15, "13": [15, 18, 19, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 128, 161, 163, 232, 233, 239, 264, 272, 282, 288, 291, 293, 294, 296, 297, 299, 300, 302], "tau": 15, "pi": [15, 34, 122, 134, 139, 265, 266, 296], "nan": [15, 87, 102, 104, 105, 106, 143, 144, 151, 154, 162, 168, 214, 231, 232, 238, 241, 243, 249, 250, 252, 260, 272, 275, 276, 279, 281, 282, 301], "bottom": [16, 18, 19, 32, 44, 45, 53, 54, 60, 62, 63, 65, 73, 83, 96, 110, 117, 118, 132, 146, 194, 238, 249, 304, 306], "depth": [16, 19, 44, 45, 62, 63, 64, 65, 73, 83, 110, 117, 118, 132, 232, 238, 243, 249, 252, 295, 304, 306, 310], "bulk": [16, 101, 112, 134, 232, 249, 256, 257, 271, 306], "shear": [16, 17, 21, 98, 101, 112, 114, 134, 232, 249, 256, 257, 271, 306], "through": [16, 62, 76, 77, 78, 83, 132, 141, 148, 171, 172, 176, 178, 180, 188, 189, 190, 191, 193, 197, 223, 227, 230, 244, 258, 265, 266, 287, 290, 291, 292, 297, 302, 306, 307, 308], "top": [16, 18, 19, 29, 32, 44, 45, 53, 54, 60, 62, 63, 64, 65, 72, 83, 96, 100, 113, 132, 146, 161, 163, 181, 227, 229, 244, 249, 300, 304, 306], "profil": [16, 17, 18, 19, 21, 29, 30, 32, 44, 45, 53, 60, 61, 62, 63, 64, 65, 69, 72, 73, 76, 77, 78, 83, 109, 110, 113, 117, 118, 132, 163, 231, 232, 249, 282, 301, 302, 306, 310], "sound": [16, 17, 18, 21, 23, 32, 55, 59, 60, 61, 62, 63, 64, 65, 72, 73, 76, 78, 83, 92, 99, 101, 110, 112, 113, 117, 121, 125, 132, 134, 136, 159, 179, 194, 204, 230, 238, 241, 250, 252, 256, 257, 271, 286, 289, 293, 298, 299, 302, 306, 310], "same": [16, 32, 53, 54, 60, 66, 77, 78, 81, 87, 123, 138, 143, 145, 146, 151, 171, 172, 185, 189, 217, 227, 239, 258, 268, 283, 284, 287, 297, 300, 302, 304, 306], "don": [16, 62, 87, 132, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 227, 284, 297, 303, 310], "agl": [16, 62, 110, 132, 179], "highest": [16, 18, 19, 23, 32, 44, 55, 60, 61, 83, 99, 114, 121, 125, 146, 167, 168, 187, 190, 302, 306], "lowest": [16, 18, 19, 23, 29, 32, 44, 55, 60, 61, 83, 99, 114, 121, 125, 146, 238, 244, 249, 302, 306], "u_shr": 16, "v_shr": 16, "wind_compon": [16, 17, 21, 110, 135, 136, 231, 232, 238, 249, 268, 275, 276, 279, 281, 282, 284, 301, 304, 310], "925": [16, 17, 19, 21, 30, 69, 110, 117, 249, 288, 289], "850": [16, 17, 18, 19, 21, 23, 29, 30, 32, 33, 55, 60, 61, 62, 63, 64, 65, 69, 72, 73, 76, 77, 99, 109, 110, 114, 116, 117, 118, 121, 125, 171, 172, 176, 178, 180, 187, 188, 189, 190, 191, 239, 246, 274, 288, 310], "700": [16, 17, 18, 19, 21, 23, 29, 30, 32, 55, 60, 61, 62, 63, 64, 65, 69, 72, 73, 76, 77, 99, 109, 110, 117, 118, 121, 125, 126, 127, 244, 288, 294, 302, 310], "wdir": [16, 17, 21, 110, 134, 238, 249, 276, 304], "165": [16, 17, 21, 110, 163, 246, 253, 257, 296], "180": [16, 17, 21, 79, 110, 163, 260, 273, 296, 310], "190": [16, 17, 21, 110, 260, 261, 296], "210": [16, 17, 21, 110, 114, 297], "220": [16, 17, 21, 110, 233, 310], "sped": [16, 17, 21, 110, 238, 249, 306], "20": [16, 17, 18, 21, 23, 29, 32, 33, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 83, 93, 94, 96, 99, 101, 109, 110, 112, 114, 117, 118, 121, 125, 133, 151, 163, 232, 233, 249, 260, 261, 264, 266, 267, 268, 272, 273, 275, 276, 281, 282, 283, 284, 287, 292, 294, 296, 297, 300, 301, 302, 308, 310], "30": [16, 17, 18, 21, 23, 29, 32, 55, 60, 61, 62, 63, 64, 65, 72, 73, 76, 77, 89, 90, 91, 99, 101, 109, 110, 117, 118, 121, 125, 130, 163, 194, 226, 229, 232, 235, 236, 240, 244, 246, 247, 251, 253, 254, 255, 260, 264, 265, 266, 276, 278, 281, 282, 287, 290, 291, 296, 301, 302, 310], "50": [16, 17, 18, 21, 23, 26, 29, 32, 53, 54, 55, 59, 60, 61, 63, 64, 65, 72, 73, 76, 77, 96, 99, 109, 110, 112, 117, 118, 121, 125, 163, 226, 232, 235, 236, 240, 246, 247, 249, 251, 253, 254, 255, 258, 267, 268, 272, 275, 276, 279, 282, 283, 284, 287, 288, 290, 296, 302, 304, 310], "knot": [16, 17, 21, 101, 110, 112, 167, 168, 231, 232, 233, 238, 249, 258, 268, 273, 275, 276, 279, 281, 282, 284, 297, 301, 306, 310], "41943319": 16, "11": [16, 19, 40, 50, 76, 161, 163, 233, 239, 258, 260, 287, 288, 293, 296, 300, 302, 310], "6920573": 16, "higher": [16, 17, 18, 19, 21, 29, 30, 32, 44, 45, 53, 54, 58, 60, 62, 63, 64, 65, 69, 72, 73, 76, 77, 78, 81, 83, 87, 110, 113, 117, 118, 132, 141, 145, 146, 147, 148, 176, 283, 284], "even": [16, 17, 18, 19, 21, 29, 32, 44, 45, 53, 60, 62, 63, 64, 65, 72, 73, 76, 77, 110, 113, 117, 118, 132, 143, 145, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 227, 284, 300, 301, 302, 304], "advanc": [16, 17, 55, 59, 63, 64, 65, 72, 73, 76, 92, 101, 110, 112, 113, 117, 121, 134, 136, 179, 194, 204, 227, 229, 230, 271, 293, 306, 310], "complex": [16, 17, 55, 59, 63, 64, 65, 72, 73, 76, 92, 101, 110, 112, 113, 117, 121, 134, 136, 179, 194, 204, 227, 266, 271, 276, 283, 286, 289, 293, 297, 300, 310], "layout": [16, 17, 55, 59, 63, 64, 65, 72, 73, 76, 92, 101, 110, 112, 113, 117, 121, 134, 136, 179, 181, 194, 196, 197, 204, 271, 275, 286, 289, 291, 292, 293, 296, 297, 310], "mover": 17, "supercel": [17, 21, 101, 112, 226, 232, 249], "storm": [17, 21, 101, 110, 112, 163, 226, 232, 249, 287, 290, 306], "motion": [17, 21, 86, 110, 226, 232, 249, 306], "bunker": [17, 226, 232, 249], "method": [17, 53, 54, 133, 141, 148, 158, 159, 160, 161, 162, 163, 164, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 205, 209, 214, 223, 226, 265, 277, 278, 287, 292, 297, 300, 302, 306], "physic": [17, 226, 300, 310], "galilean": 17, "invari": 17, "predict": [17, 226, 277, 290, 302, 306], "well": [17, 54, 103, 162, 176, 179, 181, 227, 229, 230, 231, 238, 239, 241, 243, 248, 250, 252, 264, 268, 272, 277, 283, 284, 296, 297, 300, 302, 306, 308, 310], "properli": [17, 219, 227, 272, 302, 304], "flow": [17, 235, 236, 240, 246, 247, 251, 253, 254, 255], "summari": [17, 158, 159, 160, 161, 162, 163, 164, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 209, 297, 302, 310], "bunkers2000": [17, 226], "non": [17, 33, 41, 42, 87, 93, 100, 124, 131, 147, 221, 226, 229, 300, 306], "weight": [17, 24, 27, 62, 63, 66, 67, 89, 90, 103, 106, 117, 128, 129, 130, 132, 139, 149, 150, 232, 256, 257, 265, 271, 306], "deviat": [17, 103, 227, 306], "sfc": [17, 18, 29, 100], "7": [17, 18, 19, 21, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 82, 86, 99, 109, 110, 117, 118, 121, 125, 126, 127, 134, 139, 161, 163, 172, 227, 231, 232, 236, 238, 241, 243, 246, 248, 249, 250, 252, 258, 260, 265, 266, 267, 272, 274, 275, 277, 279, 281, 282, 284, 287, 288, 294, 296, 297, 301, 302, 310], "head": [17, 227, 306], "tail": [17, 301], "right_mov": 17, "left_mov": 17, "wind_mean": 17, "400": [17, 18, 21, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 110, 117, 118, 121, 125, 282, 288, 296], "250": [17, 18, 21, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 110, 114, 117, 118, 121, 125, 231, 232, 249, 258, 272, 273, 288, 296, 302], "1500": [17, 21, 101, 110], "3100": [17, 21, 110], "5720": [17, 21, 110], "7120": [17, 21, 110], "60": [17, 18, 21, 23, 29, 32, 51, 55, 60, 61, 63, 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19, 23, 26, 27, 29, 32, 33, 55, 59, 60, 61, 63, 64, 65, 72, 73, 76, 77, 78, 83, 88, 95, 99, 107, 113, 114, 121, 123, 130, 133, 187, 194, 231, 232, 238, 241, 243, 244, 249, 250, 252, 256, 257, 267, 271, 273, 275, 276, 279, 281, 282, 284, 292, 300, 301, 302, 304, 306, 310], "parcel_profil": [18, 30, 32, 59, 60, 61, 64, 69, 72, 77, 78, 113, 231, 232, 249, 301, 304, 310], "which_lfc": 18, "which_el": 18, "cape": [18, 29, 32, 60, 64, 72, 101, 112, 113, 161, 194, 230, 231, 232, 249, 296, 301, 302, 306, 309], "cin": [18, 64, 72, 113, 194, 231, 232, 249, 301, 302, 306], "convect": [18, 19, 29, 60, 64, 72, 113, 161, 181, 185, 186, 194, 226, 249, 271, 286, 289, 306], "avail": [18, 29, 33, 64, 72, 93, 113, 138, 142, 145, 147, 163, 165, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 224, 226, 227, 229, 230, 285, 292, 295, 297, 300, 302, 306, 308, 310, 311], "energi": [18, 29, 31, 64, 70, 72, 113, 119, 194, 306], "inhibit": [18, 64, 72, 113, 161, 194, 306], "upper": [18, 29, 44, 45, 59, 64, 72, 76, 113, 134, 179, 181, 185, 187, 194, 231, 232, 233, 234, 238, 241, 243, 249, 250, 252, 259, 271, 273, 275, 276, 279, 281, 282, 283, 286, 289, 297, 298, 299, 306, 310], "parcel": [18, 24, 29, 30, 31, 32, 33, 59, 60, 61, 64, 65, 69, 70, 72, 73, 76, 77, 78, 93, 99, 113, 128, 129, 130, 133, 194, 231, 232, 244, 249, 282, 301, 306, 310], "path": [18, 29, 32, 60, 64, 72, 122, 142, 173, 174, 175, 177, 182, 183, 184, 192, 193, 194, 195, 198, 199, 200, 201, 202, 203, 209, 227, 232, 258, 277, 278, 301, 302], "integr": [18, 63, 64, 69, 72, 113, 163, 227, 229, 259, 302, 306], "lfc": [18, 19, 32, 64, 72, 113, 249, 304, 306], "el": [18, 19, 60, 64, 72, 113, 194, 249, 296, 304, 306], "intersect": [18, 19, 32, 36, 60, 64, 72, 74, 113], "logarithm": [18, 36, 64, 72, 113, 151, 258, 301, 306], "interest": [18, 30, 61, 69, 76, 77, 78, 227, 229, 230, 296, 302], "choos": [18, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 272, 287], "valid": [18, 41, 42, 104, 124, 147, 158, 159, 160, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 223, 258, 266, 272, 277, 287, 290, 291, 294, 297, 302, 306, 310], "wide": [18, 32, 60, 163, 230, 302], "most_cap": [18, 32, 60], "dewpoint_from_relative_humid": [18, 23, 25, 27, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 121, 273, 300, 302, 304, 310], "1008": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125], "950": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 83, 99, 109, 117, 118, 121, 125, 258, 288], "900": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 83, 99, 109, 117, 118, 121, 125, 272, 288], "800": [18, 23, 29, 32, 33, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 80, 93, 99, 109, 117, 118, 121, 125, 288], "750": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 101, 109, 117, 118, 121, 125, 288], "650": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 288], "600": [18, 23, 29, 32, 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230, 232, 233, 239, 244, 249, 259, 263, 264, 265, 266, 267, 268, 272, 273, 274, 276, 282, 283, 284, 287, 289, 290, 291, 292, 294, 296, 297, 300, 302, 304, 305, 306, 310], "8": [18, 19, 23, 29, 30, 31, 32, 55, 60, 61, 63, 64, 65, 69, 70, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 139, 161, 163, 194, 210, 226, 232, 233, 241, 246, 248, 250, 258, 259, 260, 261, 264, 266, 272, 273, 274, 276, 278, 282, 284, 287, 288, 290, 292, 296, 297, 300, 302, 310], "21": [18, 19, 23, 29, 32, 40, 50, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 163, 232, 238, 244, 249, 266, 288, 296, 302, 305, 310], "52": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 161, 226, 239, 287, 296, 300], "59": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 163, 296], "66": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 161, 163, 258, 260, 266, 296], "74": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 161, 163, 226, 233, 244, 296, 297], "78": [18, 23, 29, 32, 33, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 93, 99, 109, 117, 118, 121, 125, 163, 287, 296], "76": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 132, 296], "71": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 123, 125, 161, 232, 296, 300, 310], "61": [18, 23, 29, 32, 51, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 84, 99, 109, 117, 118, 121, 125, 163, 226, 296], "56": [18, 23, 29, 32, 33, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 93, 99, 109, 117, 118, 121, 125, 163, 239, 296, 310], "51": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 161, 163, 272, 288, 296], "47": [18, 23, 29, 32, 55, 60, 61, 63, 64, 65, 72, 73, 76, 77, 99, 109, 117, 118, 121, 125, 296, 302, 310], "degc": [18, 19, 23, 24, 26, 29, 30, 31, 32, 33, 55, 59, 60, 61, 62, 63, 64, 65, 67, 69, 70, 72, 73, 76, 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"77306": [18, 72], "joul": [18, 29, 64, 72, 249, 300, 302], "kilogram": [18, 24, 29, 31, 64, 66, 67, 68, 70, 72, 94, 107, 108, 239, 249, 300, 302], "adopt": [18, 29, 227, 230], "hobbs1977": [18, 20, 51, 66, 84, 94, 123, 226], "r_d": [18, 29, 69, 96, 117, 118, 139], "int_": [18, 29, 62, 117, 118, 132], "_": [18, 29, 101, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 232, 249, 268], "env": [18, 29, 227, 302], "free": [18, 60, 227, 306], "equilibrium": [18, 32, 194, 306], "begin": [18, 29, 65, 179, 186, 227, 230, 244, 272, 301, 306], "gravit": [18, 40, 50, 71, 139], "acceler": [18, 71, 139], "virtual": [18, 24, 29, 96, 117, 118, 126, 127, 128, 129, 130, 306], "environ": [18, 21, 29, 101, 112, 194, 306, 308], "dewpt": [18, 32, 59, 60, 65, 76, 77, 83, 88, 304], "mixed_layer_depth": 19, "condens": [19, 59, 101, 194, 231, 301, 306], "directli": [19, 35, 87, 106, 161, 162, 163, 167, 169, 197, 223, 227, 258, 259, 300, 302, 310], "usaf1990": [19, 60, 226], "ambient": [19, 25, 26, 95, 99, 123, 231, 239], "line": [19, 36, 74, 176, 178, 179, 181, 186, 192, 193, 194, 195, 196, 197, 211, 212, 213, 227, 231, 232, 273, 275, 277, 278, 279, 281, 282, 287, 296, 297, 301, 306, 310, 311], "mix": [19, 24, 25, 27, 59, 63, 64, 65, 66, 67, 68, 89, 90, 94, 108, 117, 123, 126, 127, 128, 129, 130, 194, 232, 249, 252, 256, 257, 271, 301, 304, 306], "start": [19, 29, 30, 53, 54, 59, 69, 76, 77, 78, 113, 133, 141, 142, 146, 194, 209, 227, 231, 232, 235, 236, 240, 244, 246, 247, 248, 251, 253, 254, 255, 258, 260, 273, 283, 284, 295, 297, 306, 307], "averag": [19, 40, 50, 63, 103, 132, 145, 147, 163, 171, 260, 265, 300, 306], "shallow": [19, 103, 197, 209], "high": [19, 32, 35, 60, 76, 77, 78, 113, 163, 167, 168, 231, 232, 248, 277, 290, 306], "low": [19, 32, 35, 60, 76, 77, 78, 103, 113, 114, 167, 168, 231, 232, 248, 277, 278, 306], "thick": [19, 44, 45, 63, 65, 67, 88, 117, 118, 176, 232, 249, 256, 257, 271, 306], "pick": [19, 32, 60, 303], "everi": [19, 59, 161, 162, 163, 246, 279, 295, 300], "lcl": [19, 33, 60, 76, 77, 78, 93, 101, 133, 194, 231, 232, 244, 249, 282, 301, 304, 306], "mpcalc": [19, 117, 231, 232, 235, 236, 237, 239, 240, 242, 245, 246, 247, 248, 249, 251, 253, 254, 255, 258, 272, 275, 276, 279, 281, 282, 294, 297, 300, 301, 302, 310, 311], "993": [19, 133], "957": 19, "886": 19, "813": [19, 302], "798": [19, 302], "732": 19, "716": 19, "mbar": [19, 80, 116, 239, 279, 284, 300], "34": [19, 163, 232, 266, 272, 288, 294, 296, 302, 310], "27": [19, 52, 82, 123, 163, 242, 264, 265, 272, 287, 296, 300, 302, 310], "19": [19, 23, 25, 76, 85, 91, 108, 163, 258, 260, 264, 267, 268, 284, 287, 296, 302, 310], "17": [19, 25, 29, 76, 95, 163, 176, 178, 180, 188, 191, 226, 249, 258, 264, 267, 272, 284, 290, 294, 296, 302], "16": [19, 63, 67, 68, 89, 90, 161, 163, 176, 178, 180, 188, 191, 226, 233, 236, 240, 246, 258, 260, 264, 267, 272, 273, 276, 282, 283, 287, 288, 289, 296, 302, 310], "ccl_p": 19, "ccl_t": 19, "t_c": 19, "758": 19, "348093": 19, "38": 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251, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 267, 268, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 287, 288, 290, 291, 292, 294, 296, 297, 300, 301, 306, 307, 310], "significantli": 21, "tornad": [21, 226], "tend": [21, 230], "occur": [21, 60, 306], "0942521": 21, "data_x": [22, 75, 115], "data_i": [22, 75, 115], "component_tangenti": [22, 115], "component_norm": [22, 75], "tangential_compon": [22, 75, 306], "normal_compon": [22, 115, 306], "analysi": [22, 54, 71, 80, 81, 90, 141, 181, 185, 187, 204, 205, 226, 265, 268, 271, 277, 286, 288, 289, 293, 297, 301, 302, 305, 306, 310], "total": [23, 24, 27, 33, 34, 39, 66, 67, 80, 85, 87, 89, 90, 91, 93, 94, 110, 114, 116, 120, 121, 123, 125, 126, 127, 128, 130, 139, 163, 226, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 290, 291, 292, 293, 294, 296, 297, 299, 300, 301, 302, 306], "deriv": [23, 37, 40, 41, 42, 47, 50, 55, 57, 61, 67, 81, 89, 90, 97, 99, 114, 121, 124, 125, 131, 167, 168, 223, 226, 230, 306], "miller1972": [23, 114, 121, 125, 226], "ct": [23, 121, 296], "td850": [23, 55, 121], "t500": [23, 55, 61, 99, 121, 125], "part": [23, 125, 158, 159, 160, 194, 226, 227, 229, 230, 295, 296, 297, 300, 302, 306, 307], "7741081": 23, "delta_degree_celsiu": [23, 61, 99, 121, 125, 249, 300], "mixing_ratio": [24, 68, 89, 107, 108, 117, 123, 126, 127, 128, 129, 130, 194, 252, 282, 304, 306], "molecular_weight_ratio": [24, 66, 117, 128, 129, 130, 139], "62195691": [24, 128], "mass": [24, 63, 66, 89, 117, 123, 128, 129, 139, 302, 306], "molecular": [24, 27, 66, 67, 89, 90, 117, 128, 129, 130, 139], "constitu": [24, 66, 117, 128, 129, 130], "water": [24, 25, 66, 83, 85, 94, 95, 117, 123, 128, 129, 130, 161, 204, 205, 226, 233, 262, 263, 271, 306], "vapor": [24, 25, 27, 66, 67, 85, 88, 89, 90, 91, 94, 95, 117, 123, 128, 129, 130, 139, 204, 205, 239, 262, 263, 271, 306], "epsilon": [24, 27, 66, 67, 69, 89, 90, 94, 117, 123, 128, 129, 130, 139], "approx0": [24, 66, 117, 128, 129, 130], "622": [24, 66, 117, 128, 129, 130], "kg": [24, 27, 66, 67, 68, 70, 94, 101, 107, 108, 112, 123, 128, 129, 139, 239, 246, 249, 272, 282, 288, 300, 306], "21307146": 24, "rho": [24, 126, 127, 260], "r_dt": 24, "vapor_pressur": [25, 66, 95, 239, 304, 306], "0291018": 25, "saturation_vapor_pressur": [25, 26, 85, 88, 91, 123, 306], "invert": [25, 51, 231, 232], "bolton1980": [25, 33, 93, 95, 226], "satur": [25, 29, 30, 60, 67, 69, 85, 88, 89, 90, 91, 93, 94, 95, 194, 226, 244, 306], "yield": [25, 63, 244, 297, 302, 306], "celsiu": [25, 95, 167, 168, 244, 279, 294, 297, 300, 306], "243": [25, 95], "log": [25, 53, 54, 144, 151, 194, 226, 231, 232, 265, 275, 279, 281, 301, 306, 310], "112": [25, 95, 296], "percent": [26, 85, 88, 89, 90, 91, 161, 266, 272, 300, 304, 310], "0536760815": 26, "meteogram": [26, 204, 271, 293, 306], "With": [26, 297, 298, 299, 310], "tutori": [26, 43, 59, 76, 103, 113, 134, 136, 167, 172, 176, 178, 179, 181, 185, 187, 188, 189, 190, 194, 223, 227, 229, 299, 300, 304, 309, 310, 311], "arg": [27, 44, 45, 53, 54, 62, 63, 132, 143, 151, 158, 159, 160, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 209, 218, 223, 304], "kwarg": [27, 37, 47, 53, 57, 58, 64, 72, 91, 97, 135, 158, 159, 160, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 193, 194, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 209, 219, 223, 304], "specif": [27, 68, 70, 71, 85, 90, 107, 108, 116, 137, 139, 158, 159, 160, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 205, 208, 227, 230, 272, 284, 287, 295, 297, 300, 306], "unus": 27, "pend": 27, "deprec": [27, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 287, 291], 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306], "dcape": 29, "maximum": [29, 53, 54, 59, 73, 139, 163, 167, 168, 179, 223, 244, 265, 297, 306], "buoyanc": [29, 194], "descend": [29, 244], "descent": 29, "lower": [29, 53, 54, 146, 181, 226, 233, 234, 276, 283, 297, 306], "moist": [29, 69, 70, 76, 77, 78, 133, 194, 226, 244, 301, 306], "adiabat": [29, 60, 69, 76, 77, 78, 133, 139, 194, 244, 301, 306], "environment": [29, 32, 226, 272, 302], "wet": [29, 85, 91, 133, 161, 226, 306], "bulb": [29, 85, 91, 133, 226, 306], "remain": [29, 87, 227, 302], "throughout": [29, 102, 104, 105, 106, 215, 302, 304], "down_pressur": 29, "down_parcel_trac": 29, "1222": 29, "67968": 29, "50959548": 29, "20643425": 29, "237249": 29, "12607097": 29, "85045704": 29, "38243809": 29, "68671014": 29, "71808363": 29, "58203825": 29, "29053485": 29, "cape_cin": [29, 64, 72, 113, 249, 304, 306], "surface_based_cape_cin": [29, 232, 249, 302], "most_unstable_cape_cin": [29, 232, 249], "mixed_layer_cape_cin": [29, 232, 249], "emanuel1994": [29, 226], "reference_pressur": [30, 34, 69, 304], "process": [30, 69, 93, 179, 194, 227, 229, 291, 292, 302, 306], "lift": [30, 59, 60, 61, 69, 76, 77, 78, 99, 101, 194, 226, 231, 232, 244, 249, 301, 306], "conserv": [30, 302], "first": [30, 31, 33, 37, 47, 60, 62, 69, 77, 78, 81, 93, 103, 113, 114, 117, 118, 132, 156, 186, 194, 197, 209, 217, 227, 230, 231, 232, 244, 260, 276, 283, 284, 300, 301, 302, 306, 311], "element": [30, 69, 81, 171, 172, 181, 188, 189, 196, 227, 232, 276, 283, 284, 297, 306], "plev": [30, 69, 294], "65249458": 30, "92593808": 30, "91786723": 30, "moist_laps": [30, 76, 77, 78, 133, 194, 244, 304, 306], "liquid": [30, 69, 139, 163, 306], "complet": [30, 65, 69, 185, 227, 229, 230, 283, 284, 287, 291, 292, 297, 300], "reliabl": [30, 69], "ref_pressur": [30, 69, 304], "mountain": [30, 59, 69, 256, 257, 271, 306], "problem": [30, 59, 69, 227, 230, 256, 257, 271, 301, 302, 303], "static": [31, 55, 70, 86, 109, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 227, 230, 256, 257, 271, 273, 306], "two": [31, 36, 56, 58, 74, 81, 102, 103, 104, 120, 121, 122, 142, 165, 171, 172, 176, 178, 180, 181, 188, 189, 191, 194, 198, 199, 200, 226, 227, 230, 232, 265, 266, 287, 300, 302, 306, 308, 310], "292": [31, 258, 272, 273, 288, 302], "268557": 31, "kilojoul": [31, 70], "montgomery_streamfunct": [31, 272, 306], "c_": [31, 69, 70, 110, 139], "pd": [31, 69, 70, 139, 231, 232, 238, 241, 243, 249, 250, 252, 268, 275, 276, 279, 281, 282, 284, 291, 292, 301, 306], "gz": [31, 70, 71, 161, 162, 260, 310], "parcel_temperature_profil": [32, 60, 304], "last": [32, 53, 102, 103, 104, 197, 209, 229, 231, 232, 306, 308, 311], "ideal": [32, 60, 227, 272, 284, 306], "fewer": [32, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191], "whose": [32, 60, 62, 103, 132, 171, 172, 176, 178, 180, 181, 186, 187, 188, 189, 190, 191, 306], "farthest": [32, 60], "awai": [32, 60, 264, 268], "111": [32, 272, 294, 296], "739463": 32, "3112792": 32, "l": [33, 93, 122, 226, 232, 277, 278, 296], "theta_": [33, 93, 241], "dl": [33, 93, 296], "28r": [33, 93], "final": [33, 93, 217, 227, 229, 242, 244, 268, 287, 297, 300, 302], "3036": [33, 93], "r": [33, 51, 66, 83, 84, 86, 93, 117, 123, 149, 150, 161, 163, 226, 231, 232, 233, 246, 260, 265, 266, 272, 273, 275, 279, 281, 282, 301, 305, 306, 310], "448r": [33, 93], "353": 33, "937994": 33, "kelvin": [33, 62, 80, 93, 116, 117, 128, 129, 194, 236, 241, 242, 243, 246, 250, 272, 300, 302, 306], "accord": [33, 93, 101, 223], "daviesjones2009": [33, 93, 226], "accur": [33, 93, 226], "iter": [33, 53, 54, 59, 93, 133, 164, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 266], "formul": [33, 35, 37, 54, 93, 97, 226], "exner": 34, "p_0": [34, 51, 80, 84, 116, 139], "kappa": [34, 80, 116, 139, 149, 150, 265], "visa": [34, 302], "versa": [34, 302], "against": [34, 227, 229, 230, 306], "p0": [34, 139], "temperature_from_potential_temperatur": [34, 304], "arr": [35, 217], "from_below": 35, "surround": 35, "within": [35, 73, 103, 109, 149, 150, 176, 178, 180, 181, 187, 188, 191, 223, 227, 229, 230, 264, 265, 266, 287, 295, 296, 306, 308, 310], "good": [35, 215, 227, 231, 232, 275, 281, 301, 310], "list": [35, 53, 62, 92, 132, 142, 143, 148, 154, 155, 156, 158, 159, 160, 162, 163, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 207, 209, 212, 213, 225, 226, 227, 229, 230, 258, 264, 265, 266, 267, 268, 272, 273, 276, 282, 294, 296, 297, 303, 305, 306, 310, 311], "These": [35, 137, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 196, 223, 230, 266, 301, 302, 304, 306, 308, 311], "numpi": [35, 76, 77, 87, 100, 106, 122, 142, 145, 146, 149, 150, 152, 153, 176, 178, 214, 217, 219, 229, 230, 232, 233, 242, 244, 248, 249, 258, 260, 261, 264, 265, 266, 267, 268, 272, 273, 278, 279, 282, 284, 300, 302, 306, 308, 310], "get": [35, 103, 160, 161, 164, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 227, 237, 258, 260, 268, 272, 276, 279, 284, 291, 292, 295, 296, 307, 311], "expect": [35, 81, 227, 244, 277, 284, 300, 304, 306], "extra": [35, 193, 232, 284], "slice": [35, 141, 148, 258, 297], "ellipsi": 35, "necessari": [35, 168, 181, 194, 196, 227, 229, 230, 266, 277, 300], "boolean": [35, 87, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 306], "column": [35, 158, 159, 160, 165, 167, 168, 169, 181, 186, 220, 238, 241, 243, 250, 252, 284, 287, 288, 290, 306], "actual": [35, 58, 95, 103, 196, 197, 224, 229, 232, 276, 283, 284, 297, 300, 302], "had": [35, 227, 297, 304], "bound": [35, 143, 151, 179, 272, 275, 276, 281, 283, 284, 294, 306], "desir": [35, 53, 54, 59, 81, 87, 143, 146, 151, 171, 172, 176, 178, 180, 181, 187, 188, 189, 190, 191, 219, 244, 272, 294, 296, 297, 300, 302, 306], "search": [35, 53, 54, 145, 146, 147, 169, 227, 266, 295, 303, 304, 306], "One": [35, 53, 54, 138, 160, 163, 230, 297, 302, 304, 310], "more": [35, 38, 56, 87, 102, 103, 104, 105, 106, 119, 120, 145, 147, 181, 187, 188, 229, 230, 231, 232, 271, 272, 276, 283, 296, 297, 300, 301, 302, 304, 306, 307, 310, 311], "proce": [35, 302], "log_x": 36, "best": [36, 176, 178, 180, 188, 191, 207, 230, 300, 302, 310, 311], "estim": [36, 146, 230, 232, 249, 266, 306], "share": [36, 302, 303], "common": [36, 74, 146, 171, 172, 187, 188, 189, 190, 227, 230, 244, 249, 288, 291, 292, 297, 298, 302, 304, 310], "increas": [36, 81, 103, 138, 179, 205, 227, 232], "decreas": [36, 103], "implicitli": 36, "regularli": [37, 47, 57, 97], "vari": [37, 47, 53, 54, 57, 97, 103, 306], "neither": [37, 47, 57, 97], "nor": [37, 47, 57, 97], "belong": [37, 47, 57, 97, 223], "backward": [37, 97, 228, 302], "edg": [37, 97, 102, 104, 105, 106, 161, 181, 186, 260, 266, 306], "center": [37, 92, 97, 149, 150, 169, 181, 187, 196, 197, 226, 232, 266, 272, 273, 276, 277, 278, 283, 287, 288, 290, 294, 297, 306], "elsewher": [37, 97], "irregular": [37, 97, 294], "handl": [37, 97, 143, 151, 161, 162, 163, 171, 172, 176, 178, 180, 181, 188, 189, 190, 191, 194, 221, 223, 227, 229, 237, 245, 259, 260, 271, 277, 284, 293, 297, 300, 302, 304, 310], "explicitli": [37, 97, 304, 306], "bowen2005": [37, 97, 226], "ndarrai": [37, 97, 100, 106, 122, 142, 145, 146, 147, 149, 150, 152, 153, 214, 217, 300], "integ": [37, 47, 57, 97, 103, 167, 168, 171, 172, 176, 178, 180, 181, 186, 187, 188, 189, 191, 223, 264, 284, 297, 300, 306], "string": [37, 41, 42, 47, 57, 97, 124, 158, 159, 160, 163, 165, 168, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 189, 191, 194, 196, 197, 205, 207, 212, 213, 214, 223, 227, 229, 237, 245, 260, 273, 276, 284, 296, 297, 300, 302, 306], "name": [37, 47, 54, 57, 97, 139, 157, 158, 161, 162, 163, 165, 167, 169, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 212, 213, 220, 223, 227, 229, 230, 231, 232, 238, 241, 243, 249, 250, 252, 260, 261, 268, 272, 273, 275, 279, 281, 282, 284, 287, 288, 296, 297, 300, 301, 302, 306], "type": [37, 47, 57, 58, 92, 97, 145, 147, 161, 162, 163, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 196, 215, 223, 224, 230, 260, 277, 284, 297, 302, 306, 310], "implicit": [37, 47, 57, 97], "convers": [37, 47, 57, 97, 194, 196, 197, 217, 227, 233, 272, 276, 284, 300, 302, 310], "select": [37, 87, 97, 158, 159, 160, 163, 171, 172, 176, 178, 180, 187, 188, 189, 190, 191, 231, 232, 284, 287, 296, 297, 302, 306], "second_deriv": [37, 57, 304], "perturb": [38, 46, 56, 119], "friction": 38, "veloc": [38, 56, 119, 126, 127, 139, 163, 302], "seri": [38, 46, 56, 119, 179, 227, 273, 301, 306], "suppli": [38, 106, 119, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 302, 306, 310], "remov": [38, 56, 119, 154, 155, 156, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 227, 232, 268, 272, 287, 291, 297], "kinematic_flux": 38, "kinemat": [38, 39, 56, 226, 232, 273, 302], "flux": [38, 48, 56, 230, 306], "u_": [38, 110], "sqrt": [38, 119, 122, 248, 265, 306], "overlin": [38, 46, 56, 96, 119], "prime": [38, 46, 56, 119, 302], "math": [38, 90, 232, 300], "reduc": [38, 87, 93, 138, 171, 172, 187, 189, 230, 272, 276, 283, 297, 300, 306], "subject": [38, 56, 119, 161, 230], "pleas": [38, 56, 119, 227, 271, 287, 303, 304, 305, 306, 310], "garratt1994": [38, 56, 119, 226], "form": [39, 52, 54, 86, 168, 171, 172, 189, 266, 303], "petterssen": 39, "bluestein1993": [39, 81, 226], "248": 39, "253": [39, 272, 302], "co": [39, 181, 226, 265, 266, 296, 306], "beta": [39, 86], "deform": [39, 98, 111, 120, 240, 255, 256, 257, 271, 306], "dilat": 39, "isentrop": [39, 53, 54, 71, 81, 90, 204, 205, 226, 230, 271, 293, 306], "diverg": [39, 131, 230, 256, 257, 271, 304, 306], "To": [39, 52, 53, 76, 77, 117, 176, 178, 180, 188, 191, 223, 227, 229, 232, 244, 272, 297, 300, 301, 302, 306, 310], "100km": [39, 267], "3h": 39, "multipli": [39, 137, 171, 172, 176, 178, 180, 188, 189, 190, 191, 196, 266, 297, 300, 306], "08e9": 39, "thta": [39, 304, 306], "69": [40, 50, 71, 296, 310], "approxim": [40, 50, 92, 103, 226, 239], "variat": [40, 50, 227, 230, 306], "graviti": [40, 50, 139, 306], "phi": [40, 50, 163, 260], "r_e": [40, 50, 139], "gr_e": 40, "earth": [40, 50, 71, 171, 172, 189], "radiu": [40, 50, 87, 102, 139, 145, 147, 149, 150, 248, 265, 266, 283, 306], "geopot": [40, 50, 304], "9805": [40, 50], "19607": [40, 50], "29406": [40, 50], "999": [40, 287], "98867965": 40, "1999": [40, 226, 232], "98521653": 40, "2999": 40, "98947022": 40, "height_to_geopotenti": 40, "therebi": [40, 50], "account": [40, 50, 96, 227, 306], "effect": [40, 50, 103, 112, 138, 173, 174, 175, 177, 182, 183, 184, 192, 193, 195, 198, 199, 200, 201, 202, 203, 232, 249, 277, 278, 306], "centrifug": [40, 50], "neglect": [40, 50], "latitudin": [40, 50], "due": [40, 50, 230, 244, 266, 297], "eccentr": [40, 50, 139], "prior": [40, 50, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 306], "v0": [40, 50, 229, 302], "newton": [40, 50], "law": [40, 50], "return_onli": [41, 42, 124], "gradient": [41, 42, 48, 57, 71, 81, 256, 257, 271, 272, 304, 306], "sequenc": [41, 42, 47, 57, 79, 105, 124, 138, 158, 159, 160, 186, 196, 198, 199, 200, 207, 214, 217, 223, 230, 306], "df": [41, 42, 165, 220, 231, 232, 238, 241, 243, 249, 250, 252, 275, 277, 279, 281, 282, 296, 297, 301], "pattern": [41, 42, 124, 166, 227, 232, 248], "your": [41, 42, 58, 124, 131, 171, 172, 176, 178, 180, 188, 189, 190, 191, 223, 279, 296, 297, 300, 302, 303, 304, 305, 307, 308, 310], "pair": [41, 42, 141, 142, 145, 149, 152, 154, 155, 156, 197, 209, 258, 306], "vector_deriv": [41, 42, 47], "geospatial_laplacian": [41, 124], "laplacian": [42, 47, 304, 306], "geospatial_gradi": [42, 47, 124], "request": [44, 45, 103, 161, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 207, 223, 229, 230, 291, 302, 310], "subset": [44, 45, 92, 158, 159, 160, 187, 190, 223, 231, 232, 238, 241, 243, 244, 249, 250, 252, 275, 276, 279, 281, 282, 283, 284, 301, 302, 306], "dataset": [44, 45, 53, 54, 76, 77, 78, 134, 141, 148, 158, 159, 160, 171, 172, 176, 178, 180, 188, 189, 190, 191, 194, 204, 223, 224, 230, 231, 232, 233, 235, 236, 240, 246, 247, 251, 253, 254, 255, 258, 259, 271, 272, 275, 279, 281, 284, 286, 288, 289, 294, 297, 301], "variabl": [44, 45, 49, 53, 54, 56, 62, 63, 78, 132, 146, 149, 152, 161, 165, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 223, 226, 230, 231, 232, 233, 249, 258, 259, 265, 272, 273, 275, 276, 279, 281, 282, 284, 288, 294, 297, 301, 302, 306, 310], "with_agl": [45, 304], "subtract": [45, 55, 300, 306], "minimum": [45, 87, 145, 147, 149, 150, 229, 297, 306], "you": [46, 81, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 223, 227, 229, 237, 278, 283, 284, 291, 292, 295, 296, 297, 300, 302, 303, 304, 307, 308, 310], "wish": [46, 171, 223, 227, 233, 297, 306], "produc": [46, 176, 178, 180, 188, 191, 229, 297, 306], "about": [46, 157, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 230, 297, 300, 301, 302, 304, 306, 307, 309, 310], "ax": [47, 57, 102, 103, 104, 138, 179, 181, 194, 196, 197, 205, 223, 231, 232, 233, 234, 235, 236, 240, 242, 246, 247, 248, 251, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 272, 273, 275, 276, 277, 278, 279, 281, 282, 283, 284, 294, 296, 301, 302, 304, 306, 310], "length": [47, 57, 103, 142, 171, 172, 179, 181, 186, 187, 192, 193, 226, 227, 235, 236, 240, 247, 251, 253, 254, 255, 258, 268, 272, 288, 297, 300, 301, 302, 306], "In": [47, 57, 103, 135, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 209, 227, 229, 230, 272, 284, 291, 292, 294, 297, 300, 301, 302, 303, 304, 306, 308, 310, 311], "gener": [47, 57, 145, 147, 149, 150, 152, 153, 163, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 209, 210, 223, 226, 227, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 267, 268, 269, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 290, 291, 292, 294, 295, 296, 297, 298, 300, 301, 302, 304, 305, 306, 308, 310], "There": [47, 57, 66, 97, 181, 227, 229, 232, 287, 297, 300, 302, 303, 310], "first_deriv": [47, 97, 124, 304, 306], "give": [47, 196, 223, 227, 229, 231, 232, 272, 275, 277, 281, 290, 300, 301, 306], "richardson": [48, 226, 230, 306], "ri": [48, 296], "holton2004": [48, 132, 226], "121": [48, 226, 302], "122": [48, 272, 296], "turbul": [48, 119, 163, 306], "rothfusz1990": [49, 226], "multi": [49, 81, 306, 310], "least": [49, 56, 58, 81, 87, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 227, 297, 302, 306], "regress": 49, "steadman1979": [49, 226], "what": [49, 145, 147, 149, 150, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 229, 230, 232, 233, 266, 287, 297, 310, 311], "nation": [49, 161, 226, 230, 258, 272, 287, 288, 302, 306], "weather": [49, 114, 167, 168, 214, 226, 230, 232, 249, 258, 267, 272, 276, 277, 283, 284, 288, 291, 295, 301, 302, 306], "servic": [49, 226, 227, 229, 230, 258, 288, 301, 302, 306, 310], "operation": [49, 232], "figur": [49, 181, 185, 194, 204, 206, 230, 231, 232, 233, 234, 235, 236, 240, 241, 246, 247, 251, 253, 254, 255, 258, 259, 260, 261, 267, 268, 272, 273, 275, 277, 279, 281, 282, 283, 284, 285, 291, 292, 294, 296, 297, 301, 310], "anderson2013": [49, 226], "depict": 49, "algorithm": [49, 59, 171, 249, 265, 266, 306], "further": [49, 102, 104, 105, 106, 181, 276, 283, 301], "discuss": [49, 228, 230, 300, 302, 303, 310], "apparent_temperatur": [49, 137, 304], "np": [50, 83, 87, 100, 116, 143, 151, 232, 233, 242, 244, 248, 249, 258, 260, 261, 264, 265, 266, 267, 268, 272, 273, 278, 279, 282, 296, 300, 302, 306, 310], "linspac": [50, 100, 232, 244, 261, 265, 266, 278, 310], "10000": [50, 297, 302], "num": 50, "11097983": 50, "1448853": 50, "10316465": 50, "39201": 50, "98726524": 50, "48994": 50, "79863351": 50, "58784": 50, "53871501": 50, "68571": 50, "20895435": 50, "78354": 50, "81079527": 50, "88135": 50, "34568058": 50, "97912": 50, "81505219": 50, "second": [50, 97, 103, 109, 110, 114, 126, 127, 134, 186, 223, 227, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 258, 259, 260, 261, 264, 265, 266, 267, 268, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 290, 291, 292, 294, 296, 297, 300, 301, 302, 304, 306, 310], "geopotential_to_height": [50, 304], "u_geostroph": [52, 304], "v_geostroph": [52, 304], "inerti": [52, 306], "advect": [52, 246, 256, 257, 271, 304, 306], "hat": 52, "v_g": [52, 302], "u_g": [52, 302], "j": [52, 101, 112, 139, 226, 248, 249, 296, 300, 305, 306], "rochette2006": [52, 226], "mani": [52, 66, 94, 123, 188, 227, 230, 249, 264, 276, 283, 284, 301, 302, 303, 304, 306, 310, 311], "temperature_out": 53, "max_it": [53, 54, 59, 304], "ep": [53, 54, 59, 304], "1e": [53, 54, 59, 258, 272, 288, 297, 302, 304], "06": [53, 54, 109, 161, 258, 259, 270, 293, 302], "bottom_up_search": [53, 54, 146], "isobar": [53, 54, 71, 78, 81, 146, 226, 234, 258, 272, 282, 288, 294, 302, 306], "ani": [53, 54, 102, 103, 104, 105, 106, 114, 143, 163, 167, 168, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 197, 205, 215, 223, 227, 228, 229, 230, 231, 232, 234, 238, 241, 243, 249, 250, 252, 258, 272, 275, 276, 279, 281, 282, 283, 284, 296, 297, 300, 301, 302, 303, 304, 306, 310], "output": [53, 54, 58, 138, 142, 158, 159, 160, 167, 168, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 217, 230, 232, 233, 258, 272, 291, 294, 297, 302, 306], "error": [53, 54, 59, 226, 300, 302, 306, 310], "control": [53, 54, 87, 146, 162, 163, 171, 172, 179, 189, 193, 194, 196, 197, 229, 273, 274, 276, 283, 297, 306], "up": [53, 54, 76, 77, 78, 146, 164, 165, 194, 196, 197, 215, 222, 229, 241, 244, 265, 268, 272, 277, 283, 284, 294, 295, 297, 302, 305, 308], "down": [53, 54, 87, 133, 146, 227, 230, 244, 258, 302], "isentropic_interpolation_as_dataset": [53, 272], "linearli": [53, 54, 194], "natur": [53, 54, 147, 152, 153, 226, 269, 270, 271, 306], "linear": [53, 54, 141, 144, 145, 146, 147, 148, 306], "ziv1994": [53, 54, 226], "new": [53, 54, 141, 148, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 209, 217, 223, 226, 227, 228, 229, 230, 231, 232, 273, 275, 281, 287, 294, 295, 296, 297, 300, 301, 302, 303, 306, 307, 310], "Will": [53, 76, 77, 154, 155, 156, 194, 306], "theta_level": [53, 304], "coord": [54, 223, 302], "isentropic_interpol": [54, 272, 304], "reli": [54, 223, 227, 229, 230, 278, 300, 310], "upon": [54, 60, 101, 223, 227, 229, 310], "george1960": [55, 226], "t850": [55, 121, 125], "t700": 55, "td700": 55, "add": [55, 165, 171, 172, 176, 178, 179, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 204, 205, 206, 209, 227, 229, 230, 231, 232, 238, 241, 243, 250, 252, 258, 266, 272, 275, 276, 278, 279, 281, 282, 283, 284, 287, 288, 290, 291, 292, 297, 300, 301, 302, 305, 306, 310], "moistur": [55, 96, 114, 227, 230, 244, 306], "850hpa": 55, "dryness": 55, "airmass": 55, "9395759": 55, "vel": 56, "mai": [56, 95, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 207, 227, 230, 232, 249, 302, 304, 305, 306, 309], "perform": [56, 145, 147, 149, 150, 194, 196, 229, 230, 232, 238, 239, 241, 243, 244, 249, 250, 252, 266, 276, 283, 284, 295, 298, 300, 301, 302, 306, 309], "notat": 56, "howev": [56, 93, 302, 304], "rewritten": 56, "computation": 56, "effici": [56, 310], "how": [56, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 197, 227, 229, 230, 231, 232, 237, 238, 241, 243, 244, 245, 249, 250, 252, 274, 275, 276, 279, 281, 282, 283, 284, 285, 287, 295, 300, 301, 302, 304, 306, 307, 308, 310, 311], "format": [58, 145, 157, 158, 159, 160, 161, 163, 168, 181, 187, 196, 197, 205, 211, 229, 245, 273, 276, 283, 284, 291, 292, 296, 297, 300, 305, 306], "At": [58, 81, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 196, 227, 306], "sign": [58, 224, 303, 306], "accept": [58, 176, 178, 180, 181, 186, 189, 191, 223, 227, 230, 297, 302], "densifi": 58, "dask": [58, 223, 302], "lazi": [58, 223], "load": [58, 161, 223, 235, 236, 240, 246, 247, 251, 253, 254, 255, 302], "state": [59, 159, 160, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 226, 230, 233, 258, 267, 268, 272, 274, 276, 277, 283, 284, 287, 290, 291, 292, 294, 296, 297, 304, 306, 310], "943": 59, "33": [59, 126, 127, 130, 163, 226, 249, 265, 272, 276, 287, 288, 296, 302], "877": 59, "563323": 59, "26": [59, 63, 73, 163, 232, 236, 242, 246, 249, 264, 287, 288, 296, 297, 302, 306], "7734921": 59, "approach": [59, 152, 153, 230, 266, 267], "basic": [59, 226, 232, 248, 267, 297, 310], "until": [59, 244, 266, 301], "converg": [59, 306], "guarante": [59, 227], "finish": [59, 284], "virtu": 59, "counter": 59, "dewpoint_start": [60, 304], "forth": 60, "befor": [60, 74, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 205, 223, 227, 229, 244, 266, 297, 302, 304, 306, 310], "freeli": [60, 295], "rise": [60, 244, 301], "968": [60, 276, 289], "171757": 60, "8362857": 60, "galway1956": [61, 99, 226], "referenc": 61, "doswellschultz2006": [61, 226], "li": [61, 161, 249, 287, 296], "tp500": [61, 99], "42560365": 61, "arbitrari": [62, 106, 132, 194, 219, 223, 248, 306], "mpw": 62, "p_b": [62, 132], "dp": [62, 69, 83, 126, 127, 132], "being": [62, 85, 132, 134, 135, 173, 174, 175, 177, 182, 183, 184, 187, 194, 198, 199, 200, 201, 202, 203, 227, 230, 297, 302, 306, 309, 310], "continu": [62, 132, 227, 229, 230, 302, 306], "weighted_continuous_averag": 62, "298": [62, 302], "54368": 62, "over": [63, 138, 143, 151, 164, 227, 230, 238, 241, 243, 265, 284, 291, 294, 296, 297, 302, 306], "theorem": 63, "datavar": 63, "5798571": 63, "675935": 63, "mixed_parcel": [64, 232, 249, 304], "711": [64, 272, 288], "239032": 64, "48053989": 64, "parcel_start_pressur": [65, 304], "750033": 65, "1998736": 65, "partial_press": [66, 304], "total_press": [66, 94, 304], "6219569100577033": [66, 117, 129, 130], "9476131": 66, "gram": [66, 67, 68, 94, 107, 108, 239], "saturation_mixing_ratio": [66, 67, 89, 107, 304, 306], "straightforward": [66, 94, 123, 265, 276, 279, 283, 284, 297, 310], "place": [66, 94, 123, 194, 227, 266, 297, 300, 306, 310], "73": [66, 94, 163, 232, 283, 284, 287, 296, 300], "part_press": [66, 304], "tot_press": [66, 94, 304], "7646969": 67, "wmo": [67, 89, 90, 167, 168, 226, 284, 306], "w_": [67, 89, 90], "therefor": [67, 93, 227, 300], "hydrostat": [67, 88, 117, 118, 126, 127, 232, 249, 256, 257, 271, 306], "sh": 68, "79286195": 68, "28919078": 68, "19818079": 68, "52741416": 68, "40192356": 68, "specific_humidity_from_mixing_ratio": 68, "salby1996": [68, 83, 108, 226], "118": [68, 108, 258, 272, 283, 284, 288], "essenti": [69, 168, 194, 217, 277, 302], "pseudo": [69, 194, 306], "99716773": 69, "88545598": 69, "37637988": 69, "11086751": 69, "83": [69, 85, 296], "33806983": 69, "dry_laps": [69, 76, 77, 78, 80, 116, 194, 244, 304], "differenti": [69, 163], "dt": [69, 126, 127, 162, 205, 233, 258, 259, 260, 273, 277], "l_v": [69, 70, 139], "come": [69, 135, 167, 168, 223, 229, 236, 244, 294, 297, 300, 302, 304, 308], "bakhshaii2013": [69, 226], "312": [70, 302], "275277": 70, "montgomeri": [71, 272, 306], "streamfunct": [71, 272], "interpret": [71, 207, 223, 301, 302, 306], "similarli": [71, 297], "stream_func": 71, "dry_static_energi": [71, 304], "lackmann2011": [71, 226], "psi": [71, 272], "c_pt": 71, "avg": [71, 139, 306], "c_p": 71, "most_unstable_parcel": [72, 232, 249, 304], "unstbal": 72, "consid": [73, 76, 77, 149, 150, 227, 230, 306, 310], "5176931": 73, "get_lay": [73, 304], "just": [74, 171, 172, 176, 178, 180, 181, 185, 186, 187, 188, 189, 190, 191, 227, 229, 231, 266, 284, 297, 300, 302, 310], "repres": [74, 92, 103, 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\ No newline at end of file
diff --git a/dev/tutorials/area_tutorial.html b/dev/tutorials/area_tutorial.html
index e4b20138f59..cc88ac67b14 100644
--- a/dev/tutorials/area_tutorial.html
+++ b/dev/tutorials/area_tutorial.html
@@ -75,7 +75,7 @@
-
+
@@ -957,7 +957,7 @@ Examaple Using Declarative Syntaxpc.show()
-Total running time of the script: (0 minutes 10.618 seconds)
+Total running time of the script: (0 minutes 13.282 seconds)
Download Python source code: area_tutorial.py
diff --git a/dev/tutorials/declarative_tutorial.html b/dev/tutorials/declarative_tutorial.html
index 332bee8875a..bcd002ce1fe 100644
--- a/dev/tutorials/declarative_tutorial.html
+++ b/dev/tutorials/declarative_tutorial.html
@@ -75,7 +75,7 @@
-
+
@@ -1020,7 +1020,7 @@ PlotObs()
reduce_points
This attribute can be set to a real number to reduce the number of stations that are plotted.
Default value is zero (e.g., no points are removed from the plot).
-Total running time of the script: (0 minutes 11.077 seconds)
+Total running time of the script: (0 minutes 13.626 seconds)
Download Python source code: declarative_tutorial.py
diff --git a/dev/tutorials/index.html b/dev/tutorials/index.html
index 0b5b98430b7..a8c61a32f48 100644
--- a/dev/tutorials/index.html
+++ b/dev/tutorials/index.html
@@ -75,7 +75,7 @@
-
+
diff --git a/dev/tutorials/sg_execution_times.html b/dev/tutorials/sg_execution_times.html
index 7e08e851b48..2b4e6f02b98 100644
--- a/dev/tutorials/sg_execution_times.html
+++ b/dev/tutorials/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -487,27 +487,27 @@
Computation times#
-00:25.930 total execution time for tutorials files:
+00:31.872 total execution time for tutorials files: