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 0x7facb252df10>, - 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 0x7f0421198e90>, + 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 0x7fac91eb6d50>, - 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 0x7f04214ddcd0>, + 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 0.320 seconds)
+Total running time of the script: (0 minutes 0.216 seconds)
Download Python source code: Advanced_Sounding.py
[<matplotlib.lines.Line2D object at 0x7facb1565e50>]
+[<matplotlib.lines.Line2D object at 0x7f0430893490>]
This layout isn’t bad, especially for how little code it required,
@@ -710,7 +710,7 @@
skew.shade_cape(p, T, prof, alpha=0.2, label='SBCAPE')
<matplotlib.collections.PolyCollection object at 0x7facb1f1b450>
+<matplotlib.collections.PolyCollection object at 0x7f0430a9f2d0>
STEP 3: CREATE THE HODOGRAPH INSET. TAKE A FEW EXTRA STEPS TO
@@ -760,7 +760,7 @@
length_includes_head=True, head_width=2)
<matplotlib.patches.FancyArrow object at 0x7facb1532c50>
+<matplotlib.patches.FancyArrow object at 0x7f043237a810>
STEP 4: ADD A FEW EXTRA ELEMENTS TO REALLY MAKE A NEAT PLOT
@@ -915,7 +915,7 @@
plt.figtext(0.83, 0.05, f'{int(super_comp.m)}', weight='bold', fontsize=15,
Total running time of the script: (0 minutes 1.155 seconds)
+Total running time of the script: (0 minutes 0.776 seconds)
Download Python source code: Complex-Sounding-Plot.py
Total running time of the script: (0 minutes 17.925 seconds)
+Total running time of the script: (0 minutes 11.181 seconds)
Download Python source code: Four_Panel_Map.py
Total running time of the script: (0 minutes 19.680 seconds)
+Total running time of the script: (0 minutes 11.975 seconds)
Download Python source code: XArray_Projections.py
Total running time of the script: (0 minutes 0.356 seconds)
+Total running time of the script: (0 minutes 0.226 seconds)
Download Python source code: Absolute_Vorticity.py
Total running time of the script: (0 minutes 0.221 seconds)
+Total running time of the script: (0 minutes 0.145 seconds)
Download Python source code: Advection.py
['North', 'North', 'North']
Total running time of the script: (0 minutes 0.006 seconds)
+Total running time of the script: (0 minutes 0.004 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 0.019 seconds)
+Total running time of the script: (0 minutes 0.012 seconds)
Download Python source code: Bulk_Shear.py
11.3770989195134 degree_Celsius 52.47877805512405 degree_Fahrenheit
Total running time of the script: (0 minutes 0.009 seconds)
+Total running time of the script: (0 minutes 0.005 seconds)
Download Python source code: Dewpoint_and_Mixing_Ratio.py
Total running time of the script: (0 minutes 0.232 seconds)
+Total running time of the script: (0 minutes 0.159 seconds)
Download Python source code: Divergence.py
Total running time of the script: (0 minutes 0.123 seconds)
+Total running time of the script: (0 minutes 0.089 seconds)
Download Python source code: Equivalent_Potential_Temperature.py
Total running time of the script: (0 minutes 0.024 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 0.017 seconds)
+Total running time of the script: (0 minutes 0.012 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 0.010 seconds)
+Total running time of the script: (0 minutes 0.007 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 0.002 seconds)
+Total running time of the script: (0 minutes 0.001 seconds)
Download Python source code: Parse_Angles.py
Total running time of the script: (0 minutes 0.263 seconds)
+Total running time of the script: (0 minutes 0.173 seconds)
Download Python source code: QVector.py
Total running time of the script: (0 minutes 0.333 seconds)
+Total running time of the script: (0 minutes 0.223 seconds)
Download Python source code: Shearing_Deformation.py
Total running time of the script: (0 minutes 0.895 seconds)
+Total running time of the script: (0 minutes 0.683 seconds)
Total running time of the script: (0 minutes 0.492 seconds)
+Total running time of the script: (0 minutes 0.309 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 0.016 seconds)
+Total running time of the script: (0 minutes 0.009 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 a4e57b34e9d..ae1a0655593 100644
--- a/dev/examples/calculations/Stretching_Deformation.html
+++ b/dev/examples/calculations/Stretching_Deformation.html
@@ -75,7 +75,7 @@
-
+
@@ -595,7 +595,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.331 seconds)
+Total running time of the script: (0 minutes 0.222 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 447575d6a81..930eac138ef 100644
--- a/dev/examples/calculations/Thickness_Hydrostatic.html
+++ b/dev/examples/calculations/Thickness_Hydrostatic.html
@@ -75,7 +75,7 @@
-
+
@@ -610,10 +610,10 @@
-5332.474521891784 meter
+5332.474521891769 meter
-Total running time of the script: (0 minutes 0.017 seconds)
+Total running time of the script: (0 minutes 0.012 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 bb0a0a644be..efc9f4172b8 100644
--- a/dev/examples/calculations/Total_Deformation.html
+++ b/dev/examples/calculations/Total_Deformation.html
@@ -75,7 +75,7 @@
-
+
@@ -595,7 +595,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.354 seconds)
+Total running time of the script: (0 minutes 0.225 seconds)
Download Python source code: Total_Deformation.py
diff --git a/dev/examples/calculations/Vorticity.html b/dev/examples/calculations/Vorticity.html
index 042afd44246..7aeba834520 100644
--- a/dev/examples/calculations/Vorticity.html
+++ b/dev/examples/calculations/Vorticity.html
@@ -75,7 +75,7 @@
-
+
@@ -595,7 +595,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.336 seconds)
+Total running time of the script: (0 minutes 0.225 seconds)
Download Python source code: Vorticity.py
diff --git a/dev/examples/calculations/Wind_Speed.html b/dev/examples/calculations/Wind_Speed.html
index 17789f96519..ecbca17abf1 100644
--- a/dev/examples/calculations/Wind_Speed.html
+++ b/dev/examples/calculations/Wind_Speed.html
@@ -75,7 +75,7 @@
-
+
@@ -595,7 +595,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.222 seconds)
+Total running time of the script: (0 minutes 0.141 seconds)
Download Python source code: Wind_Speed.py
diff --git a/dev/examples/calculations/index.html b/dev/examples/calculations/index.html
index 0f33fc546f5..fafd388f8b8 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 e1c2a5478a3..c340f8f85e9 100644
--- a/dev/examples/calculations/sg_execution_times.html
+++ b/dev/examples/calculations/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -477,91 +477,91 @@
Computation times#
-00:04.279 total execution time for examples_calculations files:
+00:02.899 total execution time for examples_calculations files:
Smoothing (Smoothing.py
)
-00:00.895
+00:00.683
0.0 MB
Sounding Calculation Examples (Sounding_Calculations.py
)
-00:00.492
+00:00.309
0.0 MB
Absolute Vorticity (Absolute_Vorticity.py
)
-00:00.356
+00:00.226
0.0 MB
Total Deformation (Total_Deformation.py
)
-00:00.354
+00:00.225
0.0 MB
Vorticity (Vorticity.py
)
-00:00.336
+00:00.225
0.0 MB
Shearing Deformation (Shearing_Deformation.py
)
-00:00.333
+00:00.223
0.0 MB
Stretching Deformation (Stretching_Deformation.py
)
-00:00.331
+00:00.222
0.0 MB
Q-Vector (QVector.py
)
-00:00.263
+00:00.173
0.0 MB
Divergence (Divergence.py
)
-00:00.232
+00:00.159
0.0 MB
-Wind Speed (Wind_Speed.py
)
-00:00.222
+Advection (Advection.py
)
+00:00.145
0.0 MB
-Advection (Advection.py
)
-00:00.221
+Wind Speed (Wind_Speed.py
)
+00:00.141
0.0 MB
Equivalent Potential Temperature (Equivalent_Potential_Temperature.py
)
-00:00.123
+00:00.089
0.0 MB
Gradient (Gradient.py
)
-00:00.024
+00:00.016
0.0 MB
-Bulk Shear (Bulk_Shear.py
)
-00:00.019
+Hydrostatic Thickness (Thickness_Hydrostatic.py
)
+00:00.012
0.0 MB
-Hydrostatic Thickness (Thickness_Hydrostatic.py
)
-00:00.017
+Bulk Shear (Bulk_Shear.py
)
+00:00.012
0.0 MB
Mean Pressure Weighted (Mean_Pressure_Weighted.py
)
-00:00.017
+00:00.012
0.0 MB
Static Stability (Static_Stability.py
)
-00:00.016
+00:00.009
0.0 MB
Mountain Problem (Mountain_Problem.py
)
-00:00.010
+00:00.007
0.0 MB
Dewpoint and Mixing Ratio (Dewpoint_and_Mixing_Ratio.py
)
-00:00.009
+00:00.005
0.0 MB
Angle to Direction (Angle_to_Direction.py
)
-00:00.006
+00:00.004
0.0 MB
Parse angles (Parse_Angles.py
)
-00:00.002
+00:00.001
0.0 MB
diff --git a/dev/examples/cross_section.html b/dev/examples/cross_section.html
index cb5fd5d276a..d3083428d99 100644
--- a/dev/examples/cross_section.html
+++ b/dev/examples/cross_section.html
@@ -75,7 +75,7 @@
-
+
@@ -793,7 +793,7 @@
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 8.832 seconds)
+Total running time of the script: (0 minutes 6.117 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 ee4e28f0ba0..6bf173dae16 100644
--- a/dev/examples/formats/GINI_Water_Vapor.html
+++ b/dev/examples/formats/GINI_Water_Vapor.html
@@ -75,7 +75,7 @@
-
+
@@ -621,7 +621,7 @@
plt.show()
-Total running time of the script: (0 minutes 1.643 seconds)
+Total running time of the script: (0 minutes 1.167 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 38f2b72090d..27ab9b7990b 100644
--- a/dev/examples/formats/NEXRAD_Level_2_File.html
+++ b/dev/examples/formats/NEXRAD_Level_2_File.html
@@ -75,7 +75,7 @@
-
+
@@ -659,7 +659,7 @@
plt.show()
-Total running time of the script: (0 minutes 9.835 seconds)
+Total running time of the script: (0 minutes 6.873 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 dc1e2e4861b..373092840b8 100644
--- a/dev/examples/formats/NEXRAD_Level_3_File.html
+++ b/dev/examples/formats/NEXRAD_Level_3_File.html
@@ -75,7 +75,7 @@
-
+
@@ -623,7 +623,7 @@
plt.show()
-Total running time of the script: (0 minutes 3.328 seconds)
+Total running time of the script: (0 minutes 2.368 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 121ff426e4c..0a3a3a43cab 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 e5a282f2e0b..e14b1189653 100644
--- a/dev/examples/formats/sg_execution_times.html
+++ b/dev/examples/formats/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -477,19 +477,19 @@
Computation times#
-00:14.806 total execution time for examples_formats files:
+00:10.408 total execution time for examples_formats files:
NEXRAD Level 2 File (NEXRAD_Level_2_File.py
)
-00:09.835
+00:06.873
0.0 MB
NEXRAD Level 3 File (NEXRAD_Level_3_File.py
)
-00:03.328
+00:02.368
0.0 MB
GINI Water Vapor Imagery (GINI_Water_Vapor.py
)
-00:01.643
+00:01.167
0.0 MB
diff --git a/dev/examples/gridding/Find_Natural_Neighbors_Verification.html b/dev/examples/gridding/Find_Natural_Neighbors_Verification.html
index 76f5b19c067..4bd74b1d3fa 100644
--- a/dev/examples/gridding/Find_Natural_Neighbors_Verification.html
+++ b/dev/examples/gridding/Find_Natural_Neighbors_Verification.html
@@ -75,7 +75,7 @@
-
+
@@ -629,7 +629,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.524 seconds)
+Total running time of the script: (0 minutes 0.350 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 43d6fa5e990..1a4220f1c4e 100644
--- a/dev/examples/gridding/Inverse_Distance_Verification.html
+++ b/dev/examples/gridding/Inverse_Distance_Verification.html
@@ -75,7 +75,7 @@
-
+
@@ -665,7 +665,7 @@
ax.legend()
-<matplotlib.legend.Legend object at 0x7facb173a8d0>
+<matplotlib.legend.Legend object at 0x7f0430bca050>
For each point, we will do a manual check of the interpolation values by doing a step by
@@ -754,7 +754,7 @@
Metpy barnes value: 4.112066483188547
-Total running time of the script: (0 minutes 0.570 seconds)
+Total running time of the script: (0 minutes 0.415 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 bafdf7e78ab..23d7b900b74 100644
--- a/dev/examples/gridding/Natural_Neighbor_Verification.html
+++ b/dev/examples/gridding/Natural_Neighbor_Verification.html
@@ -75,7 +75,7 @@
-
+
@@ -687,7 +687,7 @@
ax.legend()
-<matplotlib.legend.Legend object at 0x7facb1f252d0>
+<matplotlib.legend.Legend object at 0x7f04308fd2d0>
What?….the circle from triangle 8 looks pretty darn close. Why isn’t
@@ -829,7 +829,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.692 seconds)
+Total running time of the script: (0 minutes 0.501 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 a52f1efeb74..ae5dd1bd8f5 100644
--- a/dev/examples/gridding/Point_Interpolation.html
+++ b/dev/examples/gridding/Point_Interpolation.html
@@ -75,7 +75,7 @@
-
+
@@ -642,7 +642,7 @@ Scipy.interpolate linearfig.colorbar(mmb, shrink=.4, pad=0, boundaries=levels)
-<matplotlib.colorbar.Colorbar object at 0x7facb1500d10>
+<matplotlib.colorbar.Colorbar object at 0x7f0422fcd2d0>
@@ -656,7 +656,7 @@ Natural neighbor interpolation (MetPy implementation)fig.colorbar(mmb, shrink=.4, pad=0, boundaries=levels)
-<matplotlib.colorbar.Colorbar object at 0x7facb1cc7950>
+<matplotlib.colorbar.Colorbar object at 0x7f0430c1ee50>
@@ -673,7 +673,7 @@ Cressman interpolationfig.colorbar(mmb, shrink=.4, pad=0, boundaries=levels)
-<matplotlib.colorbar.Colorbar object at 0x7facb1ce7e10>
+<matplotlib.colorbar.Colorbar object at 0x7f0422ea9890>
@@ -689,7 +689,7 @@ Barnes Interpolationfig.colorbar(mmb, shrink=.4, pad=0, boundaries=levels)
-<matplotlib.colorbar.Colorbar object at 0x7facb19d6e50>
+<matplotlib.colorbar.Colorbar object at 0x7f0430c6d3d0>
@@ -706,7 +706,7 @@ Radial basis function interpolationplt.show()
-Total running time of the script: (0 minutes 9.229 seconds)
+Total running time of the script: (0 minutes 5.594 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 3b9fd1ea8b2..0c159d4f5f0 100644
--- a/dev/examples/gridding/Wind_SLP_Interpolation.html
+++ b/dev/examples/gridding/Wind_SLP_Interpolation.html
@@ -75,7 +75,7 @@
-
+
@@ -670,7 +670,7 @@
plt.show()
-Total running time of the script: (0 minutes 14.008 seconds)
+Total running time of the script: (0 minutes 8.555 seconds)
Download Python source code: Wind_SLP_Interpolation.py
diff --git a/dev/examples/gridding/index.html b/dev/examples/gridding/index.html
index 442569e80b9..64bbcfacbdf 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 5de26fb39fd..166143c77d4 100644
--- a/dev/examples/gridding/sg_execution_times.html
+++ b/dev/examples/gridding/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -477,27 +477,27 @@
Computation times#
-00:25.023 total execution time for examples_gridding files:
+00:15.416 total execution time for examples_gridding files:
Wind and Sea Level Pressure Interpolation (Wind_SLP_Interpolation.py
)
-00:14.008
+00:08.555
0.0 MB
Point Interpolation (Point_Interpolation.py
)
-00:09.229
+00:05.594
0.0 MB
Natural Neighbor Verification (Natural_Neighbor_Verification.py
)
-00:00.692
+00:00.501
0.0 MB
Inverse Distance Verification: Cressman and Barnes (Inverse_Distance_Verification.py
)
-00:00.570
+00:00.415
0.0 MB
Find Natural Neighbors Verification (Find_Natural_Neighbors_Verification.py
)
-00:00.524
+00:00.350
0.0 MB
diff --git a/dev/examples/index.html b/dev/examples/index.html
index d6282c876b7..0346780e4a9 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 2dbd71db725..da53858c6a3 100644
--- a/dev/examples/isentropic_example.html
+++ b/dev/examples/isentropic_example.html
@@ -76,7 +76,7 @@
-
+
@@ -1008,7 +1008,7 @@
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,
@@ -1037,8 +1037,8 @@
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,
@@ -1047,7 +1047,7 @@
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,
@@ -1056,7 +1056,7 @@
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
@@ -1170,7 +1170,7 @@
plt.show()
-
Total running time of the script: (0 minutes 22.016 seconds)
+Total running time of the script: (0 minutes 13.607 seconds)
Download Python source code: isentropic_example.py
diff --git a/dev/examples/meteogram_metpy.html b/dev/examples/meteogram_metpy.html
index 0ab9324a6c1..ae51f2c0941 100644
--- a/dev/examples/meteogram_metpy.html
+++ b/dev/examples/meteogram_metpy.html
@@ -75,7 +75,7 @@
-
+
@@ -777,7 +777,7 @@
plt.show()
-Total running time of the script: (0 minutes 1.292 seconds)
+Total running time of the script: (0 minutes 0.900 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 f48311b2d8a..a589d5385c1 100644
--- a/dev/examples/plots/Combined_plotting.html
+++ b/dev/examples/plots/Combined_plotting.html
@@ -75,7 +75,7 @@
-
+
@@ -609,7 +609,7 @@
pc.show()
-Total running time of the script: (0 minutes 11.365 seconds)
+Total running time of the script: (0 minutes 6.720 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 c87b1e1f688..5765c888e7f 100644
--- a/dev/examples/plots/Hodograph_Inset.html
+++ b/dev/examples/plots/Hodograph_Inset.html
@@ -75,7 +75,7 @@
-
+
@@ -634,7 +634,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.384 seconds)
+Total running time of the script: (0 minutes 0.258 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 6284a500c4f..40ca9070cfa 100644
--- a/dev/examples/plots/Mesonet_Stationplot.html
+++ b/dev/examples/plots/Mesonet_Stationplot.html
@@ -75,7 +75,7 @@
-
+
@@ -665,7 +665,7 @@ Create the figureplt.show()
-Total running time of the script: (0 minutes 26.650 seconds)
+Total running time of the script: (0 minutes 16.214 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 0d4f9ee9a67..3fc7d155679 100644
--- a/dev/examples/plots/Plotting_Surface_Analysis.html
+++ b/dev/examples/plots/Plotting_Surface_Analysis.html
@@ -75,7 +75,7 @@
-
+
@@ -634,7 +634,7 @@
plt.show()
-Total running time of the script: (0 minutes 11.484 seconds)
+Total running time of the script: (0 minutes 7.124 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 cea3b2f6c55..1d1ee4a625b 100644
--- a/dev/examples/plots/Simple_Fronts_Plot.html
+++ b/dev/examples/plots/Simple_Fronts_Plot.html
@@ -75,7 +75,7 @@
-
+
@@ -596,7 +596,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.169 seconds)
+Total running time of the script: (0 minutes 0.121 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 5e498657a20..7453137c1f4 100644
--- a/dev/examples/plots/Simple_Sounding.html
+++ b/dev/examples/plots/Simple_Sounding.html
@@ -75,7 +75,7 @@
-
+
@@ -629,7 +629,7 @@
add_metpy_logo(fig, 115, 100)
-<matplotlib.image.FigureImage object at 0x7facb1fa50d0>
+<matplotlib.image.FigureImage object at 0x7f0430adb3d0>
# Example of defining your own vertical barb spacing
@@ -667,7 +667,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.571 seconds)
+Total running time of the script: (0 minutes 0.401 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 9534677cabd..9c51ff75d1f 100644
--- a/dev/examples/plots/Simplified_Image_Plot.html
+++ b/dev/examples/plots/Simplified_Image_Plot.html
@@ -75,7 +75,7 @@
-
+
@@ -597,7 +597,7 @@
pc.show()
-Total running time of the script: (0 minutes 1.008 seconds)
+Total running time of the script: (0 minutes 0.693 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 bc8d4d58634..e2c384394be 100644
--- a/dev/examples/plots/Skew-T_Layout.html
+++ b/dev/examples/plots/Skew-T_Layout.html
@@ -75,7 +75,7 @@
-
+
@@ -634,7 +634,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.372 seconds)
+Total running time of the script: (0 minutes 0.247 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 42dd5778910..136f98c2dcd 100644
--- a/dev/examples/plots/Sounding_LCL_Dataset.html
+++ b/dev/examples/plots/Sounding_LCL_Dataset.html
@@ -75,7 +75,7 @@
-
+
@@ -645,7 +645,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.341 seconds)
+Total running time of the script: (0 minutes 0.242 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 3c56e74feeb..87ee81ccd2d 100644
--- a/dev/examples/plots/Station_Plot.html
+++ b/dev/examples/plots/Station_Plot.html
@@ -75,7 +75,7 @@
-
+
@@ -669,7 +669,7 @@ The payoffplt.show()
-Total running time of the script: (0 minutes 24.384 seconds)
+Total running time of the script: (0 minutes 15.352 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 cc4fdc590f0..01c0bec0c9f 100644
--- a/dev/examples/plots/Station_Plot_with_Layout.html
+++ b/dev/examples/plots/Station_Plot_with_Layout.html
@@ -74,7 +74,7 @@
-
+
@@ -754,7 +754,7 @@ The payoffplt.show()
-Total running time of the script: (0 minutes 2.287 seconds)
+Total running time of the script: (0 minutes 1.847 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 6eebe6693d2..5f824d4b3d4 100644
--- a/dev/examples/plots/US_Counties.html
+++ b/dev/examples/plots/US_Counties.html
@@ -75,7 +75,7 @@
-
+
@@ -587,7 +587,7 @@
axis.add_feature(USCOUNTIES.with_scale(scale))
-Total running time of the script: (0 minutes 4.567 seconds)
+Total running time of the script: (0 minutes 2.891 seconds)
Download Python source code: US_Counties.py
diff --git a/dev/examples/plots/index.html b/dev/examples/plots/index.html
index b417e70c5d6..617f0f64270 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 a4c0953bfa5..64abddf3fc4 100644
--- a/dev/examples/plots/nhc_wind_probabilities.html
+++ b/dev/examples/plots/nhc_wind_probabilities.html
@@ -75,7 +75,7 @@
-
+
@@ -1102,7 +1102,7 @@
pc.show()
-Total running time of the script: (0 minutes 25.414 seconds)
+Total running time of the script: (0 minutes 16.444 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 c6496cbd3ab..2492d93ff97 100644
--- a/dev/examples/plots/raster_declarative.html
+++ b/dev/examples/plots/raster_declarative.html
@@ -75,7 +75,7 @@
-
+
@@ -979,9 +979,9 @@
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,
@@ -1010,12 +1010,12 @@
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,
@@ -1024,7 +1024,7 @@
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,
@@ -1033,7 +1033,7 @@
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
@@ -1060,7 +1060,7 @@
pc.show()
-Total running time of the script: (0 minutes 1.569 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 b18c68969d5..bf4b27c5e3b 100644
--- a/dev/examples/plots/sg_execution_times.html
+++ b/dev/examples/plots/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -477,75 +477,75 @@
Computation times#
-02:09.329 total execution time for examples_plots files:
+01:21.079 total execution time for examples_plots files:
-Mesonet Station Plot (Mesonet_Stationplot.py
)
-00:26.650
+NOAA NHC Wind Speed Probabilities (nhc_wind_probabilities.py
)
+00:16.444
0.0 MB
-NOAA NHC Wind Speed Probabilities (nhc_wind_probabilities.py
)
-00:25.414
+Mesonet Station Plot (Mesonet_Stationplot.py
)
+00:16.214
0.0 MB
Station Plot (Station_Plot.py
)
-00:24.384
+00:15.352
0.0 MB
NOAA SPC Convective Outlook (spc_convective_outlook.py
)
-00:14.813
+00:08.985
0.0 MB
Plotting Fronts (Plotting_Surface_Analysis.py
)
-00:11.484
+00:07.124
0.0 MB
Combined Plotting (Combined_plotting.py
)
-00:11.365
+00:06.720
0.0 MB
US Counties (US_Counties.py
)
-00:04.567
+00:02.891
0.0 MB
-Surface Analysis using Declarative Syntax (surface_declarative.py
)
-00:02.593
+Station Plot with Layout (Station_Plot_with_Layout.py
)
+00:01.847
0.0 MB
-Station Plot with Layout (Station_Plot_with_Layout.py
)
-00:02.287
+Surface Analysis using Declarative Syntax (surface_declarative.py
)
+00:01.614
0.0 MB
Raster Plots using Declarative Syntax (raster_declarative.py
)
-00:01.569
+00:01.035
0.0 MB
Upper Air Analysis using Declarative Syntax (upperair_declarative.py
)
-00:01.359
+00:00.891
0.0 MB
Simple Plotting (Simplified_Image_Plot.py
)
-00:01.008
+00:00.693
0.0 MB
Simple Sounding (Simple_Sounding.py
)
-00:00.571
+00:00.401
0.0 MB
Hodograph Inset (Hodograph_Inset.py
)
-00:00.384
+00:00.258
0.0 MB
Skew-T with Complex Layout (Skew-T_Layout.py
)
-00:00.372
+00:00.247
0.0 MB
Sounding as Dataset Example (Sounding_LCL_Dataset.py
)
-00:00.341
+00:00.242
0.0 MB
Simple Plotting of Fronts (Simple_Fronts_Plot.py
)
-00:00.169
+00:00.121
0.0 MB
diff --git a/dev/examples/plots/spc_convective_outlook.html b/dev/examples/plots/spc_convective_outlook.html
index 2e034eb5206..2ce064139e7 100644
--- a/dev/examples/plots/spc_convective_outlook.html
+++ b/dev/examples/plots/spc_convective_outlook.html
@@ -75,7 +75,7 @@
-
+
@@ -719,7 +719,7 @@
pc.show()
-Total running time of the script: (0 minutes 14.813 seconds)
+Total running time of the script: (0 minutes 8.985 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 b803e27357c..b989ddc3532 100644
--- a/dev/examples/plots/surface_declarative.html
+++ b/dev/examples/plots/surface_declarative.html
@@ -75,7 +75,7 @@
-
+
@@ -626,7 +626,7 @@
pc.show()
-Total running time of the script: (0 minutes 2.593 seconds)
+Total running time of the script: (0 minutes 1.614 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 dab1c16c771..3fffc920b2c 100644
--- a/dev/examples/plots/upperair_declarative.html
+++ b/dev/examples/plots/upperair_declarative.html
@@ -75,7 +75,7 @@
-
+
@@ -623,7 +623,7 @@
pc.show()
-Total running time of the script: (0 minutes 1.359 seconds)
+Total running time of the script: (0 minutes 0.891 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 ea95aa459f6..cf462e93771 100644
--- a/dev/examples/sg_execution_times.html
+++ b/dev/examples/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -477,39 +477,39 @@
Computation times#
-01:28.180 total execution time for examples files:
+00:56.269 total execution time for examples files:
Isentropic Analysis (isentropic_example.py
)
-00:22.016
+00:13.607
0.0 MB
XArray Projection Handling (XArray_Projections.py
)
-00:19.680
+00:11.975
0.0 MB
-Four Panel Map (Four_Panel_Map.py
)
-00:17.925
+Sigma to Pressure Interpolation (sigma_to_pressure_interpolation.py
)
+00:11.497
0.0 MB
-Sigma to Pressure Interpolation (sigma_to_pressure_interpolation.py
)
-00:16.961
+Four Panel Map (Four_Panel_Map.py
)
+00:11.181
0.0 MB
Cross Section Analysis (cross_section.py
)
-00:08.832
+00:06.117
0.0 MB
Meteogram (meteogram_metpy.py
)
-00:01.292
+00:00.900
0.0 MB
Sounding Plot with Complex Layout (Complex-Sounding-Plot.py
)
-00:01.155
+00:00.776
0.0 MB
Advanced Sounding (Advanced_Sounding.py
)
-00:00.320
+00:00.216
0.0 MB
diff --git a/dev/examples/sigma_to_pressure_interpolation.html b/dev/examples/sigma_to_pressure_interpolation.html
index b07f4d49a4b..3a73ee5174f 100644
--- a/dev/examples/sigma_to_pressure_interpolation.html
+++ b/dev/examples/sigma_to_pressure_interpolation.html
@@ -75,7 +75,7 @@
-
+
@@ -651,7 +651,7 @@
plt.show()
-Total running time of the script: (0 minutes 16.961 seconds)
+Total running time of the script: (0 minutes 11.497 seconds)
Download Python source code: sigma_to_pressure_interpolation.py
diff --git a/dev/genindex.html b/dev/genindex.html
index d5d87b279fe..49d7a47e0f8 100644
--- a/dev/genindex.html
+++ b/dev/genindex.html
@@ -72,7 +72,7 @@
-
+
diff --git a/dev/index.html b/dev/index.html
index a99182e656a..a0abda3daaa 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 2b0f44af83a..606f0d70c53 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 19cf24d6b56..5ed4ffb71be 100644
--- a/dev/search.html
+++ b/dev/search.html
@@ -74,7 +74,7 @@
-
+
diff --git a/dev/searchindex.js b/dev/searchindex.js
index f10bcc7fcff..c2e12a6241f 100644
--- a/dev/searchindex.js
+++ b/dev/searchindex.js
@@ -1 +1 @@
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190, 193, 195, 197, 198, 199, 200, 201, 202, 203, 205, 206, 216, 222, 231, 283, 305], "option": [2, 3, 6, 7, 11, 13, 14, 15, 16, 18, 19, 22, 23, 24, 28, 29, 31, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 46, 47, 48, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 64, 65, 68, 72, 74, 80, 81, 82, 84, 85, 86, 96, 97, 108, 110, 113, 114, 116, 117, 118, 119, 120, 121, 123, 124, 125, 126, 127, 128, 129, 130, 131, 136, 137, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 161, 162, 164, 166, 167, 170, 178, 180, 186, 187, 192, 193, 195, 196, 204, 206, 216, 218, 222, 228, 247, 272, 296, 299, 302, 303, 304, 305], "denot": [2, 22, 55, 74, 114, 121, 178, 185, 193], "default": [2, 3, 6, 7, 11, 12, 13, 14, 15, 16, 18, 19, 22, 23, 24, 28, 29, 31, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 68, 72, 74, 80, 81, 82, 84, 85, 96, 97, 101, 103, 104, 105, 108, 109, 110, 113, 114, 116, 117, 118, 119, 120, 121, 123, 124, 127, 128, 129, 130, 131, 134, 136, 137, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 157, 158, 159, 163, 166, 167, 168, 170, 171, 172, 173, 174, 175, 176, 177, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 195, 196, 197, 198, 199, 200, 201, 202, 204, 206, 208, 214, 216, 221, 222, 223, 226, 230, 231, 235, 236, 245, 248, 257, 266, 276, 278, 290, 296, 299, 301, 305], "set": [2, 8, 9, 11, 22, 24, 34, 35, 59, 74, 100, 109, 111, 113, 114, 116, 121, 136, 163, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 196, 207, 208, 214, 221, 222, 228, 229, 230, 231, 232, 234, 235, 237, 239, 240, 242, 243, 245, 246, 249, 250, 251, 252, 253, 254, 257, 264, 265, 267, 271, 272, 275, 276, 278, 282, 283, 286, 293, 295, 299, 300, 301, 305, 307], "interpol": [2, 18, 22, 35, 43, 44, 52, 53, 62, 63, 64, 71, 74, 76, 77, 112, 114, 121, 133, 137, 141, 142, 143, 145, 146, 147, 148, 149, 151, 152, 154, 175, 177, 178, 179, 187, 190, 203, 204, 225, 226, 229, 257, 263, 264, 265, 268, 269, 270, 271, 292, 301, 303, 305], "cross_sect": [2, 22, 74, 114, 121, 141, 147, 257, 292], "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, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 157, 158, 159, 160, 163, 164, 165, 166, 167, 168, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 193, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 208, 211, 212, 213, 216, 218, 219, 222, 223, 226, 232, 248, 263, 266, 267, 272, 286, 301, 303, 305, 310], "cross_section_compon": [2, 74, 114, 257], "note": [2, 3, 6, 7, 8, 9, 12, 16, 17, 18, 19, 21, 22, 24, 25, 28, 29, 30, 31, 32, 35, 37, 38, 39, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 77, 79, 80, 81, 82, 83, 84, 87, 88, 89, 90, 92, 93, 94, 99, 101, 102, 103, 104, 105, 107, 109, 112, 114, 115, 116, 117, 118, 119, 122, 127, 128, 129, 130, 131, 132, 134, 142, 144, 145, 146, 150, 159, 160, 161, 162, 166, 167, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 222, 225, 226, 228, 257, 271, 296, 300, 301, 304, 305], "As": [2, 47, 102, 226, 228, 296, 301, 303, 309], "schultz1999": [2, 225], "m": [2, 3, 7, 17, 28, 38, 39, 40, 41, 42, 49, 51, 80, 81, 85, 86, 97, 100, 108, 109, 110, 111, 119, 123, 130, 133, 138, 144, 145, 146, 148, 149, 151, 152, 170, 178, 204, 225, 231, 245, 248, 257, 260, 264, 265, 267, 271, 272, 275, 283, 287, 293, 295, 296, 299, 301, 303, 304, 305], "fx": 2, "where": [2, 8, 9, 11, 19, 23, 25, 34, 37, 39, 48, 49, 54, 55, 59, 60, 61, 98, 102, 113, 118, 120, 124, 131, 134, 136, 153, 154, 155, 158, 159, 167, 168, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 211, 212, 226, 243, 259, 265, 267, 283, 294, 296, 299, 301, 303, 305], "front": [2, 168, 172, 174, 176, 181, 182, 183, 195, 197, 198, 199, 200, 201, 202, 203, 270, 285, 288, 305], "distanc": [2, 12, 57, 102, 138, 144, 148, 149, 166, 167, 223, 247, 265, 268, 269, 270, 299, 305, 309], "appli": [2, 11, 48, 101, 102, 103, 104, 105, 109, 132, 136, 137, 144, 146, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 192, 195, 196, 305], "taken": [2, 8, 9, 130, 160, 162, 166, 167, 218, 226, 265, 303, 305], "perpendicular": 2, "becom": [2, 35, 102, 300, 305, 309, 310], "normal": [2, 22, 74, 102, 105, 121, 160, 172, 173, 174, 176, 177, 179, 181, 182, 183, 190, 193, 197, 198, 199, 200, 201, 202, 208, 209, 230, 231, 232, 257, 274, 278, 280, 300, 305], "tangenti": [2, 22, 114, 257, 305], "If": [2, 3, 6, 7, 8, 11, 12, 16, 28, 31, 34, 36, 37, 38, 40, 41, 42, 43, 46, 51, 52, 53, 55, 56, 57, 58, 59, 80, 81, 85, 86, 96, 97, 101, 102, 103, 104, 105, 110, 116, 118, 119, 123, 125, 126, 130, 136, 137, 142, 144, 146, 150, 159, 160, 161, 162, 164, 166, 168, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 196, 208, 216, 218, 222, 226, 228, 230, 231, 236, 294, 296, 301, 303, 304, 305, 307, 309], "us": [2, 7, 8, 9, 19, 20, 24, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 48, 49, 50, 51, 52, 55, 56, 57, 76, 80, 81, 82, 83, 84, 90, 92, 94, 95, 96, 115, 117, 118, 123, 125, 126, 127, 128, 129, 132, 136, 141, 145, 146, 147, 148, 149, 151, 152, 156, 157, 159, 170, 173, 174, 176, 182, 183, 191, 194, 201, 202, 205, 206, 208, 213, 214, 216, 218, 220, 222, 223, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 257, 258, 259, 260, 261, 263, 264, 265, 267, 270, 271, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 285, 286, 288, 289, 293, 294, 296, 297, 298, 299, 300, 301, 303, 304, 305, 306, 309, 310], "thi": [2, 4, 5, 6, 8, 9, 13, 14, 15, 16, 17, 18, 19, 21, 23, 24, 25, 28, 29, 30, 31, 32, 33, 35, 36, 39, 43, 44, 45, 46, 48, 49, 51, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 68, 69, 71, 72, 75, 76, 77, 80, 81, 84, 85, 86, 90, 92, 93, 95, 96, 101, 102, 103, 104, 105, 108, 109, 112, 113, 116, 117, 120, 121, 122, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 136, 137, 140, 141, 144, 145, 146, 147, 151, 152, 156, 160, 161, 162, 163, 164, 166, 168, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 195, 196, 197, 198, 199, 208, 214, 216, 218, 222, 226, 227, 228, 229, 230, 231, 234, 235, 237, 239, 240, 241, 242, 243, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 257, 264, 265, 271, 274, 275, 276, 277, 278, 280, 281, 282, 283, 286, 287, 289, 290, 291, 293, 294, 295, 296, 297, 299, 300, 301, 302, 303, 305, 307, 309, 310], "assess": [2, 85, 225, 226], "symmetr": [2, 225], "instabl": [2, 54, 113, 225], "geostroph": [2, 42, 51, 70, 85, 271, 305, 310], "should": [2, 3, 6, 7, 11, 28, 36, 38, 40, 41, 42, 46, 48, 51, 56, 64, 76, 77, 80, 81, 85, 86, 96, 97, 110, 112, 119, 123, 130, 132, 136, 137, 144, 160, 170, 171, 172, 173, 174, 175, 176, 177, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 193, 195, 196, 197, 198, 199, 200, 201, 202, 213, 214, 218, 222, 226, 228, 230, 231, 257, 283, 296, 299, 305, 310], "so": [2, 8, 9, 17, 51, 102, 125, 140, 147, 160, 185, 193, 222, 226, 229, 231, 243, 257, 263, 267, 271, 272, 275, 283, 293, 295, 296, 299, 301, 302], "left": [2, 8, 9, 13, 17, 32, 33, 37, 38, 39, 47, 49, 51, 80, 85, 92, 121, 125, 126, 180, 185, 192, 193, 231, 232, 271, 275, 281, 282, 286, 296, 299, 305], "m_g": 2, "right": [2, 8, 9, 13, 17, 32, 33, 37, 38, 39, 47, 49, 51, 80, 85, 92, 121, 125, 126, 180, 192, 193, 204, 226, 231, 232, 275, 281, 282, 294, 296, 300, 305], "obtain": [2, 8, 22, 48, 52, 74, 75, 76, 102, 105, 114, 121, 140, 147, 208, 222, 230, 231, 237, 240, 242, 248, 249, 251, 257, 274, 278, 280, 281, 291, 300, 301, 305], "describ": [2, 102, 121, 132, 175, 180, 222, 228, 304, 305], "chang": [2, 3, 6, 7, 11, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 27, 28, 29, 30, 31, 36, 38, 39, 42, 43, 44, 46, 48, 51, 52, 56, 57, 58, 59, 61, 62, 64, 65, 66, 68, 69, 72, 75, 76, 80, 81, 82, 84, 85, 87, 88, 89, 90, 93, 96, 97, 99, 102, 106, 108, 109, 110, 115, 116, 119, 122, 127, 128, 129, 130, 133, 160, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 226, 227, 228, 229, 231, 278, 282, 283, 296, 299, 301, 305, 310], "version": [2, 3, 6, 7, 11, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 27, 28, 29, 30, 31, 36, 38, 39, 42, 43, 44, 46, 48, 51, 52, 56, 57, 58, 59, 61, 62, 64, 65, 66, 68, 69, 72, 75, 76, 80, 81, 82, 84, 85, 87, 88, 89, 90, 93, 96, 97, 99, 106, 108, 109, 110, 115, 116, 119, 122, 127, 128, 129, 130, 133, 157, 158, 159, 216, 225, 226, 229, 236, 290, 299, 304, 305, 307, 310], "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, 33, 36, 38, 39, 42, 43, 44, 46, 47, 48, 49, 51, 52, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 69, 71, 72, 75, 76, 80, 81, 82, 84, 85, 86, 87, 88, 89, 90, 93, 96, 97, 98, 99, 100, 106, 108, 109, 110, 113, 115, 116, 117, 118, 119, 120, 122, 124, 125, 126, 127, 128, 129, 130, 133, 134, 137, 138, 142, 144, 146, 150, 154, 161, 162, 170, 171, 175, 176, 177, 178, 179, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 204, 206, 209, 211, 212, 216, 222, 225, 227, 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, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 269, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 288, 289, 290, 291, 292, 293, 295, 296, 298, 299, 300, 301, 305, 307, 308, 309], "renam": [2, 11, 13, 14, 15, 16, 17, 18, 21, 24, 25, 26, 29, 30, 31, 39, 43, 44, 48, 52, 58, 59, 61, 62, 64, 65, 68, 69, 72, 75, 76, 87, 93, 99, 108, 109, 115, 116, 122, 127, 128, 129, 133, 310], "u_wind": [2, 257, 271, 287, 291, 303], "v_wind": [2, 257, 271, 287, 291, 303], "dx": [3, 6, 7, 28, 38, 40, 41, 42, 51, 57, 80, 81, 85, 97, 110, 119, 121, 123, 130, 223, 303, 305, 310], "none": [3, 6, 7, 12, 16, 19, 28, 29, 31, 36, 37, 38, 40, 41, 42, 43, 44, 46, 51, 56, 57, 59, 61, 62, 64, 68, 72, 80, 81, 82, 84, 85, 86, 96, 97, 109, 110, 116, 117, 119, 123, 130, 131, 137, 138, 142, 144, 146, 148, 149, 150, 157, 158, 159, 162, 163, 164, 166, 167, 168, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 204, 208, 218, 219, 220, 222, 223, 233, 248, 259, 263, 264, 265, 266, 272, 276, 286, 287, 290, 291, 295, 296, 301, 303, 305, 309, 310], "dy": [3, 6, 7, 28, 38, 40, 41, 42, 51, 57, 80, 81, 85, 97, 110, 119, 121, 123, 130, 223, 303, 310], "latitud": [3, 6, 7, 12, 20, 28, 38, 40, 41, 42, 51, 57, 80, 81, 85, 97, 110, 119, 121, 123, 130, 140, 141, 156, 162, 164, 166, 167, 170, 171, 175, 177, 179, 180, 187, 188, 189, 190, 222, 223, 232, 257, 259, 260, 267, 271, 275, 282, 283, 286, 287, 291, 296, 301, 305, 310], "x_dim": [3, 6, 7, 28, 38, 40, 41, 42, 51, 57, 80, 81, 85, 97, 110, 119, 123, 130, 303], "y_dim": [3, 6, 7, 28, 38, 40, 41, 42, 51, 57, 80, 81, 85, 97, 110, 119, 123, 130, 303], "parallel_scal": [3, 6, 7, 28, 38, 40, 41, 42, 51, 80, 81, 85, 97, 110, 119, 123, 130], "meridional_scal": [3, 6, 7, 28, 38, 40, 41, 42, 51, 80, 81, 85, 97, 110, 119, 123, 130], "longitud": [3, 6, 7, 12, 28, 38, 40, 41, 42, 51, 57, 80, 81, 85, 97, 110, 119, 123, 130, 140, 141, 156, 162, 164, 166, 167, 170, 171, 175, 177, 179, 180, 187, 188, 189, 190, 222, 223, 232, 257, 259, 260, 267, 271, 275, 282, 283, 286, 287, 291, 296, 301, 303, 305, 310], "cr": [3, 6, 7, 28, 38, 40, 41, 42, 51, 80, 81, 85, 97, 110, 119, 123, 130, 140, 141, 222, 223, 232, 257, 259, 260, 266, 267, 271, 275, 276, 282, 283, 284, 286, 290, 293, 295, 301], "vortic": [3, 21, 28, 80, 81, 170, 171, 175, 177, 179, 187, 188, 189, 190, 225, 229, 232, 255, 256, 270, 296, 303, 305], "horizont": [3, 6, 28, 40, 41, 46, 97, 110, 119, 130, 144, 177, 179, 190, 193, 204, 222, 223, 232, 239, 271, 293, 296, 301], "n": [3, 6, 7, 9, 10, 13, 14, 15, 28, 38, 40, 41, 42, 51, 80, 81, 85, 86, 97, 101, 102, 103, 104, 105, 109, 110, 119, 123, 130, 144, 145, 146, 147, 148, 149, 151, 152, 160, 162, 170, 195, 196, 225, 226, 232, 236, 243, 257, 258, 264, 265, 266, 267, 271, 272, 278, 286, 287, 295, 296, 299, 301, 305, 309], "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, 35, 36, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 100, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 115, 116, 117, 119, 120, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 178, 193, 195, 196, 214, 216, 218, 222, 229, 237, 238, 240, 242, 247, 249, 251, 299, 301, 303, 307, 309], "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, 35, 36, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, 100, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 115, 116, 117, 119, 120, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 178, 216, 217, 218, 219, 220, 222, 229, 237, 242, 244, 247, 257, 259, 260, 271, 293, 296, 299, 301, 303, 305, 309], "grid": [3, 6, 7, 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146, 148, 149, 305], "laps": [9, 138, 305], "rate": [9, 138, 160, 162, 305], "isotherm": [9, 230, 231, 235, 245, 300], "layer": [9, 16, 19, 43, 44, 61, 62, 63, 64, 72, 80, 82, 95, 100, 109, 111, 116, 117, 131, 157, 162, 180, 225, 231, 240, 248, 249, 251, 273, 286, 287, 289, 290, 291, 295, 296, 305, 309], "6": [9, 17, 18, 19, 23, 25, 31, 52, 53, 54, 59, 60, 62, 63, 64, 67, 71, 72, 75, 76, 84, 94, 98, 108, 111, 116, 117, 120, 124, 138, 160, 162, 209, 230, 231, 235, 237, 240, 242, 243, 245, 248, 249, 251, 257, 259, 263, 264, 265, 266, 271, 274, 278, 280, 281, 283, 286, 287, 289, 295, 296, 299, 300, 301, 305, 307, 309], "circ": [9, 263, 305], "c": [9, 109, 178, 186, 193, 195, 196, 206, 225, 226, 230, 231, 235, 245, 257, 267, 271, 276, 282, 290, 293, 295, 296, 300, 304, 305, 307], "km": [9, 17, 109, 138, 162, 178, 231, 237, 241, 248, 266, 275, 301, 305], "288": [9, 115, 301], "k": [9, 32, 51, 54, 84, 92, 128, 138, 160, 163, 196, 208, 225, 226, 229, 230, 231, 232, 248, 249, 257, 258, 263, 264, 265, 267, 271, 272, 281, 293, 295, 299, 300, 301, 304, 305, 309], "190284": 9, "ga": [9, 18, 24, 65, 116, 127, 128, 129, 138, 290, 295], "constant": [9, 18, 19, 33, 70, 137, 193, 225, 230, 249, 305], "dry": [9, 24, 29, 30, 59, 65, 68, 70, 75, 76, 77, 84, 90, 95, 116, 125, 126, 127, 128, 129, 160, 193, 243, 300, 305], "air": [9, 11, 18, 24, 26, 27, 30, 32, 43, 44, 48, 58, 63, 64, 65, 66, 67, 69, 70, 71, 72, 75, 79, 87, 88, 89, 92, 93, 94, 95, 112, 116, 125, 126, 127, 128, 129, 133, 136, 178, 180, 184, 186, 193, 225, 230, 231, 237, 238, 240, 242, 248, 249, 251, 270, 274, 278, 280, 281, 285, 288, 296, 297, 298, 305, 309], "And": [9, 238, 257, 296, 301], "solv": [9, 58, 226, 229, 302, 305], "result": [9, 29, 31, 34, 35, 46, 58, 59, 64, 68, 144, 146, 168, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 218, 226, 238, 265, 282, 283, 290, 291, 296, 299, 300, 302, 305], "t_0": [9, 50, 83], "input_angl": 10, "full": [10, 17, 116, 117, 123, 170, 226, 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, 257, 258, 259, 260, 263, 264, 265, 266, 267, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 289, 290, 291, 293, 295, 296, 299, 300, 301, 305, 309, 310], "fals": [10, 11, 34, 35, 37, 44, 52, 55, 86, 105, 118, 136, 142, 159, 165, 170, 171, 172, 173, 174, 175, 176, 177, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 197, 198, 199, 200, 201, 202, 204, 222, 226, 230, 231, 232, 233, 237, 240, 242, 248, 249, 251, 257, 258, 259, 260, 271, 272, 273, 274, 278, 280, 281, 282, 287, 290, 291, 293, 295, 296, 300, 301, 303, 309, 310], "angl": [10, 21, 38, 78, 138, 248, 255, 256, 259, 270, 300, 305], "text": [10, 18, 30, 50, 69, 78, 82, 100, 111, 127, 128, 129, 138, 159, 166, 167, 186, 195, 196, 204, 213, 229, 231, 236, 244, 265, 275, 276, 277, 282, 283, 289, 290, 296, 301, 302, 305], "greater": [10, 35, 102, 113, 193, 240, 295, 296, 305], "equal": [10, 46, 56, 105, 113, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 243, 247, 259, 260, 263, 264, 265, 305], "360": [10, 133, 134, 236, 259, 267, 272, 296], "405": [10, 272], "ne": [10, 78, 186, 195, 196, 244, 248, 272, 275, 282, 290, 291, 295, 296, 305], "round": [10, 236, 305], "nearest": [10, 91, 137, 140, 144, 146, 147, 159, 236, 278, 305], "355": 10, "404": 10, "nne": [10, 195], "float": [10, 12, 24, 52, 53, 58, 65, 86, 109, 116, 127, 128, 129, 137, 142, 144, 145, 146, 148, 149, 150, 154, 157, 162, 171, 172, 173, 174, 175, 176, 177, 179, 181, 182, 183, 186, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 208, 211, 212, 226, 299, 305], "like": [10, 12, 20, 21, 34, 35, 36, 37, 43, 44, 45, 46, 52, 55, 56, 57, 62, 66, 73, 75, 76, 86, 91, 96, 101, 103, 104, 105, 109, 118, 140, 141, 142, 143, 144, 145, 146, 147, 149, 150, 152, 153, 154, 155, 156, 160, 161, 162, 163, 166, 168, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 196, 208, 210, 211, 212, 218, 223, 226, 228, 229, 231, 275, 277, 282, 294, 296, 299, 301, 302, 308, 310], "45": [10, 18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 160, 225, 230, 231, 232, 244, 271, 272, 274, 280, 281, 284, 286, 293, 295, 301], "410": 10, "etc": [10, 78, 180, 196, 226, 229, 296, 299, 301, 305], "bool": [10, 11, 34, 35, 37, 43, 44, 48, 52, 53, 55, 62, 64, 105, 118, 136, 137, 142, 145, 159, 165, 170, 171, 172, 173, 174, 175, 176, 177, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 193, 197, 198, 199, 200, 201, 202, 204, 222, 305], "true": [10, 11, 34, 37, 43, 44, 48, 52, 53, 55, 62, 64, 86, 105, 118, 136, 137, 145, 159, 161, 165, 170, 171, 172, 175, 176, 177, 179, 180, 181, 184, 185, 186, 187, 188, 189, 190, 193, 200, 222, 223, 226, 230, 231, 232, 236, 237, 240, 242, 248, 249, 251, 257, 258, 259, 260, 265, 266, 267, 271, 272, 274, 275, 276, 278, 280, 281, 282, 283, 290, 293, 296, 300, 303, 305], "south": [10, 78, 133, 134, 135, 144, 170, 171, 180, 188, 193, 244, 295, 296], "abbrevi": [10, 78, 180, 244, 296, 305], "detail": [10, 137, 140, 147, 180, 225, 226, 229, 294, 301, 305, 309, 310], "en": [10, 195, 236], "e": [10, 16, 25, 32, 34, 35, 37, 50, 55, 65, 78, 80, 84, 86, 87, 90, 92, 94, 102, 118, 122, 138, 145, 156, 163, 170, 171, 175, 177, 178, 179, 180, 184, 186, 187, 188, 190, 193, 195, 196, 207, 208, 222, 225, 226, 228, 229, 230, 231, 238, 245, 265, 283, 295, 296, 303, 304, 305, 309], "se": [10, 186, 195, 196, 272, 295], "relative_humid": [11, 26, 48, 66, 117, 257, 271, 272, 301, 303], "speed": [11, 37, 109, 113, 118, 133, 135, 136, 160, 166, 167, 178, 180, 184, 185, 230, 231, 232, 237, 240, 242, 248, 249, 251, 255, 256, 267, 270, 272, 274, 275, 278, 280, 281, 283, 285, 288, 296, 300, 303, 305, 309], "face_level_wind": [11, 136, 303], "mask_undefin": [11, 48, 136, 303], "current": [11, 36, 46, 48, 56, 92, 96, 136, 147, 166, 167, 168, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 213, 222, 226, 228, 229, 265, 272, 275, 282, 295, 299, 301, 302, 305, 307], "appar": [11, 39, 49, 305], "base": [11, 13, 14, 17, 18, 19, 51, 59, 80, 81, 88, 89, 91, 100, 108, 112, 116, 117, 131, 144, 148, 149, 162, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 191, 192, 196, 207, 208, 220, 222, 225, 226, 229, 230, 231, 247, 248, 260, 264, 296, 299, 301, 302, 305, 307], "chill": [11, 136, 225, 305], "heat": [11, 48, 55, 70, 138, 225, 243, 305], "appropri": [11, 36, 96, 177, 193, 196, 222, 226, 227, 228, 267, 271, 276, 283, 300, 301, 309], "nws10201": [11, 225], "rel": [11, 17, 18, 21, 23, 26, 31, 48, 54, 58, 59, 60, 62, 63, 64, 66, 71, 72, 75, 76, 87, 88, 89, 90, 98, 100, 109, 111, 117, 120, 162, 170, 171, 175, 177, 179, 180, 185, 188, 190, 191, 192, 193, 195, 196, 204, 229, 248, 251, 253, 257, 264, 271, 272, 296, 299, 300, 301, 305], "humid": [11, 18, 23, 26, 27, 31, 48, 54, 59, 60, 62, 63, 64, 66, 67, 69, 71, 72, 75, 76, 87, 88, 89, 90, 98, 106, 107, 117, 120, 225, 229, 251, 257, 271, 272, 299, 300, 301, 305], "express": [11, 26, 48, 66, 117, 301, 305], "unitless": [11, 48, 66, 88, 89, 90, 117, 193], "ratio": [11, 19, 24, 25, 26, 48, 58, 65, 66, 67, 87, 88, 89, 90, 93, 107, 116, 117, 122, 125, 126, 127, 128, 129, 138, 193, 230, 231, 251, 255, 256, 264, 265, 270, 274, 280, 300, 305], "rang": [11, 12, 26, 48, 66, 117, 137, 162, 175, 177, 178, 179, 186, 190, 193, 211, 212, 222, 231, 234, 235, 239, 245, 246, 247, 248, 250, 252, 253, 254, 257, 259, 260, 266, 267, 271, 272, 293, 296, 305], "pass": [11, 48, 51, 55, 63, 66, 71, 101, 102, 103, 104, 105, 117, 142, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 192, 193, 195, 196, 216, 218, 226, 247, 271, 299, 305, 309, 310], "percentag": [11, 48, 66, 117, 286], "proper": [11, 34, 48, 66, 117, 162, 228, 299], "attach": [11, 36, 46, 48, 56, 66, 96, 117, 166, 167, 186, 218, 219, 248, 283, 291, 299, 301, 309], "10m": [11, 21, 136, 233, 295], "instead": [11, 25, 34, 39, 46, 49, 52, 53, 75, 76, 94, 136, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 222, 226, 229, 271, 275, 282, 283, 286, 299, 301, 303], "face": [11, 136], "multipl": [11, 101, 103, 104, 105, 136, 142, 150, 163, 166, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 216, 222, 226, 228, 273, 283, 296, 299, 301, 303, 305], "correct": [11, 40, 41, 46, 48, 123, 125, 126, 130, 136, 213, 226, 227, 265, 283, 301, 305, 309], "flag": [11, 48, 136, 226, 228, 305], "whether": [11, 34, 48, 52, 53, 86, 136, 142, 145, 170, 171, 172, 173, 174, 175, 176, 177, 179, 181, 182, 183, 186, 188, 189, 190, 197, 198, 199, 200, 201, 202, 217, 222, 296, 305], "were": [11, 136, 162, 226, 228, 295, 299, 303], "facial": [11, 136], "thu": [11, 102, 136, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195], "mask": [11, 48, 86, 101, 103, 104, 105, 136, 216, 259, 267, 299, 305], "heat_index": [11, 136, 303, 305], "undefin": [11, 136, 185, 301], "For": [11, 36, 37, 55, 96, 102, 118, 160, 170, 171, 175, 177, 179, 180, 186, 187, 188, 189, 190, 213, 222, 226, 227, 228, 229, 232, 243, 257, 264, 265, 270, 272, 296, 299, 301, 303, 305, 306, 307, 309, 310], "50f": [11, 136], "mile": [11, 136, 305], "per": [11, 136, 170, 175, 177, 211, 212, 235, 238, 245, 299, 305], "hour": [11, 136, 162, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 228, 235, 245, 272, 293, 296, 301, 305], "80f": [11, 48], "rh": [11, 18, 23, 26, 31, 48, 54, 59, 60, 62, 63, 64, 66, 71, 72, 75, 76, 84, 87, 88, 89, 90, 98, 117, 120, 251, 257, 271, 272, 299, 303], "windchil": [11, 48, 305], "azimuth": [12, 57, 259, 260, 301, 305], "center_lon": 12, "center_lat": 12, "geod": [12, 57, 303], "polar": [12, 160, 180, 229, 300, 305], "lon": [12, 144, 162, 222, 223, 232, 234, 235, 239, 245, 246, 250, 252, 253, 254, 257, 258, 259, 260, 266, 267, 271, 275, 282, 283, 287, 293, 296, 301, 305, 309], "pole": 12, "origin": [12, 46, 72, 101, 103, 104, 105, 153, 154, 155, 164, 170, 171, 175, 177, 178, 179, 187, 188, 189, 190, 233, 243, 258, 281, 287, 290, 291, 300, 301, 305], "degre": [12, 16, 17, 21, 25, 57, 78, 94, 102, 109, 113, 133, 134, 138, 140, 141, 144, 166, 167, 170, 171, 175, 177, 179, 187, 188, 189, 190, 193, 223, 230, 231, 232, 236, 237, 238, 244, 247, 248, 257, 259, 260, 267, 272, 274, 275, 278, 280, 281, 283, 299, 300, 301, 305, 309], "typic": [12, 28, 130, 157, 230, 231, 274, 278, 280, 296, 300, 301], "decim": [12, 265, 305], "forward": [12, 36, 57, 96, 301, 303, 309], "spheric": [12, 39, 49, 57, 305], "ellipsoid": [12, 57, 301], "credit": 12, "brian": 12, "blaylock": 12, "nexrad": [12, 161, 162, 165, 203, 204, 261, 262, 270, 305, 309], "file": [12, 156, 157, 158, 159, 160, 161, 162, 166, 168, 175, 177, 179, 184, 187, 190, 203, 204, 207, 208, 209, 210, 211, 212, 228, 232, 233, 248, 256, 258, 262, 269, 272, 279, 283, 286, 287, 288, 289, 292, 296, 298, 301, 302, 304, 305, 309], "potential_temperatur": [13, 14, 15, 29, 33, 38, 47, 52, 53, 80, 115, 257, 303, 305], "brunt": [13, 14, 15, 305], "vaisala": [13, 14, 15, 305], "frequenc": [13, 14, 75, 76, 305], "theta": [13, 14, 32, 33, 38, 47, 79, 80, 92, 108, 115, 127, 303, 305], "formula": [13, 14, 18, 20, 23, 24, 25, 32, 38, 39, 48, 49, 50, 51, 54, 60, 66, 67, 70, 79, 80, 81, 82, 83, 85, 88, 89, 92, 94, 100, 107, 108, 111, 115, 120, 121, 124, 127, 128, 129, 131, 136, 225, 305, 309], "off": [13, 14, 116, 117, 192, 226, 247], "75": [13, 14, 18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 162, 194, 203, 205, 225, 231, 232, 235, 245, 259, 266, 271, 277, 284, 286, 289, 293, 295, 296, 301, 303], "77": [13, 14, 67, 295], "hobbs2006": [13, 14, 15, 24, 30, 39, 49, 69, 81, 116, 117, 125, 126, 128, 129, 225], "wrapper": [13, 141, 144, 146, 193, 218, 257, 296], "brunt_vaisala_frequency_squar": [13, 15, 303, 305], "filter": [13, 101, 102, 103, 104, 105, 161, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 305], "neg": [13, 109, 113, 175, 193, 206, 305], "unstabl": [13, 71, 72, 111, 231, 248], "take": [13, 36, 46, 56, 75, 76, 77, 96, 140, 147, 156, 159, 167, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 196, 206, 226, 228, 229, 231, 238, 259, 275, 296, 299, 301, 310], "squar": [13, 14, 48, 102, 175, 177, 203, 205, 296, 305], "root": [13, 226, 228, 305], "potenti": [13, 14, 15, 18, 29, 32, 33, 38, 47, 52, 53, 63, 71, 72, 79, 80, 81, 92, 112, 115, 127, 138, 145, 160, 193, 225, 255, 256, 257, 270, 287, 305], "unless": [13, 14, 15, 16, 29, 36, 57, 61, 96, 131, 301, 305], "case": [13, 14, 15, 36, 92, 96, 134, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 222, 226, 229, 230, 231, 243, 265, 271, 274, 278, 280, 291, 293, 296, 299, 300, 301, 305, 310], "metadata": [13, 14, 15, 140, 147, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 222, 229, 258, 259, 260, 301, 304, 309, 310], "brunt_vaisala_period": [13, 14, 303, 305], "stabil": [14, 85, 108, 255, 256, 270, 305], "brunt_vaisala_frequ": [14, 15, 303, 305], "period": [15, 162, 305], "helper": [15, 178, 229, 301], "oscil": 15, "exercis": 15, "13": [15, 18, 19, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 127, 160, 162, 231, 232, 238, 263, 271, 281, 287, 290, 295, 299, 301], "tau": 15, "pi": [15, 33, 121, 133, 138, 264, 265, 295], "nan": [15, 86, 101, 103, 104, 105, 142, 143, 150, 153, 161, 167, 213, 230, 231, 237, 240, 242, 248, 249, 251, 259, 271, 274, 275, 278, 280, 281, 300], "bottom": [16, 18, 19, 31, 43, 44, 52, 53, 59, 61, 62, 64, 72, 82, 95, 109, 116, 117, 131, 145, 193, 237, 248, 303, 305], "depth": [16, 19, 43, 44, 61, 62, 63, 64, 72, 82, 109, 116, 117, 131, 231, 237, 242, 248, 251, 294, 303, 305, 309], "bulk": [16, 100, 111, 133, 231, 248, 255, 256, 270, 305], "shear": [16, 17, 21, 97, 100, 111, 113, 133, 231, 248, 255, 256, 270, 305], "through": [16, 61, 75, 76, 77, 82, 131, 140, 147, 170, 171, 175, 177, 179, 187, 188, 189, 190, 192, 196, 222, 226, 229, 243, 257, 264, 265, 286, 289, 290, 291, 296, 301, 305, 306, 307], "top": [16, 18, 19, 31, 43, 44, 52, 53, 59, 61, 62, 63, 64, 71, 82, 95, 99, 112, 131, 145, 160, 162, 180, 226, 228, 243, 248, 299, 303, 305], "profil": [16, 17, 18, 19, 21, 29, 31, 43, 44, 52, 59, 60, 61, 62, 63, 64, 68, 71, 72, 75, 76, 77, 82, 108, 109, 112, 116, 117, 131, 162, 230, 231, 248, 281, 300, 301, 305, 309], "sound": [16, 17, 18, 21, 23, 31, 54, 58, 59, 60, 61, 62, 63, 64, 71, 72, 75, 77, 82, 91, 98, 100, 109, 111, 112, 116, 120, 124, 131, 133, 135, 158, 178, 193, 203, 229, 237, 240, 249, 251, 255, 256, 270, 285, 288, 292, 297, 298, 301, 305, 309], "same": [16, 31, 52, 53, 59, 65, 76, 77, 80, 86, 122, 137, 142, 144, 145, 150, 170, 171, 184, 188, 216, 226, 238, 257, 267, 282, 283, 286, 296, 299, 301, 303, 305], "don": [16, 61, 86, 131, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 226, 283, 296, 302, 309], "agl": [16, 61, 109, 131, 178], "highest": [16, 18, 19, 23, 31, 43, 54, 59, 60, 82, 98, 113, 120, 124, 145, 166, 167, 186, 189, 301, 305], "lowest": [16, 18, 19, 23, 31, 43, 54, 59, 60, 82, 98, 113, 120, 124, 145, 237, 243, 248, 301, 305], "u_shr": 16, "v_shr": 16, "wind_compon": [16, 17, 21, 109, 134, 135, 230, 231, 237, 248, 267, 274, 275, 278, 280, 281, 283, 300, 303, 309], "925": [16, 17, 19, 21, 29, 68, 109, 116, 232, 248, 287, 292], "850": [16, 17, 18, 19, 21, 23, 29, 31, 32, 54, 59, 60, 61, 62, 63, 64, 68, 71, 72, 75, 76, 98, 108, 109, 113, 115, 116, 117, 120, 124, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 238, 245, 273, 287, 309], "700": [16, 17, 18, 19, 21, 23, 29, 31, 54, 59, 60, 61, 62, 63, 64, 68, 71, 72, 75, 76, 98, 108, 109, 116, 117, 120, 124, 125, 126, 243, 287, 293, 301, 309], "wdir": [16, 17, 21, 109, 133, 237, 248, 275, 303], "165": [16, 17, 21, 109, 162, 295], "180": [16, 17, 21, 78, 109, 162, 259, 272, 292, 295, 309], "190": [16, 17, 21, 109, 259, 260, 295], "210": [16, 17, 21, 109, 113, 296], "220": [16, 17, 21, 109, 232, 309], "sped": [16, 17, 21, 109, 237, 248, 305], 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309], "layout": [16, 17, 54, 58, 62, 63, 64, 71, 72, 75, 91, 100, 109, 111, 112, 116, 120, 133, 135, 178, 180, 193, 195, 196, 203, 270, 274, 285, 288, 290, 291, 292, 295, 296, 309], "mover": 17, "supercel": [17, 21, 100, 111, 225, 231, 248], "storm": [17, 21, 100, 109, 111, 162, 225, 231, 248, 286, 289, 305], "motion": [17, 21, 85, 109, 225, 231, 248, 305], "bunker": [17, 225, 231, 248], "method": [17, 52, 53, 132, 140, 147, 157, 158, 159, 160, 161, 162, 163, 170, 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, 204, 208, 213, 222, 225, 264, 276, 277, 286, 291, 296, 299, 301, 305], "physic": [17, 225, 299, 309], "galilean": 17, "invari": 17, "predict": [17, 225, 276, 289, 301, 305], "well": [17, 53, 102, 161, 175, 178, 226, 228, 229, 230, 237, 238, 240, 242, 247, 249, 251, 263, 267, 271, 276, 282, 283, 295, 296, 299, 301, 305, 307, 309], "properli": [17, 218, 226, 271, 301, 303], "flow": [17, 234, 235, 239, 245, 246, 250, 252, 253, 254], "summari": [17, 157, 158, 159, 160, 161, 162, 163, 170, 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, 208, 296, 301, 309], "bunkers2000": [17, 225], "non": [17, 32, 40, 41, 86, 92, 99, 123, 130, 146, 220, 225, 228, 299, 305], "weight": [17, 24, 61, 62, 65, 102, 105, 116, 127, 128, 129, 131, 138, 148, 149, 231, 255, 256, 264, 270, 305], "deviat": [17, 102, 226, 305], "sfc": [17, 18, 99], "7": [17, 18, 19, 21, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 81, 85, 98, 108, 109, 116, 117, 120, 124, 125, 126, 133, 138, 160, 162, 171, 226, 230, 231, 235, 237, 240, 242, 245, 247, 248, 249, 251, 257, 259, 264, 265, 266, 271, 274, 276, 278, 280, 281, 283, 286, 287, 293, 295, 296, 300, 301, 309], "head": [17, 226, 305], "tail": [17, 300], "right_mov": 17, "left_mov": 17, "wind_mean": 17, "400": [17, 18, 21, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 109, 116, 117, 120, 124, 281, 287, 295], "250": [17, 18, 21, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 109, 113, 116, 117, 120, 124, 230, 231, 248, 257, 271, 272, 287, 295, 301], "1500": [17, 21, 100, 109], "3100": [17, 21, 109], "5720": [17, 21, 109], "7120": [17, 21, 109], "60": [17, 18, 21, 23, 31, 50, 54, 59, 60, 62, 63, 64, 68, 71, 72, 75, 76, 83, 98, 108, 109, 116, 117, 120, 124, 162, 230, 231, 248, 257, 259, 264, 265, 271, 274, 280, 286, 295, 296, 299, 300, 309], "22": [17, 18, 23, 25, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 78, 98, 117, 120, 124, 162, 225, 248, 263, 264, 271, 272, 281, 292, 295, 301, 309], "09618172": 17, "12": [17, 19, 29, 67, 75, 84, 87, 100, 128, 160, 161, 162, 191, 225, 231, 247, 248, 257, 258, 259, 263, 265, 267, 271, 272, 275, 277, 281, 282, 283, 284, 286, 287, 289, 290, 291, 293, 295, 296, 301, 305], "43406736": 17, "02861839": 17, "36": [17, 18, 23, 31, 54, 59, 60, 62, 64, 71, 72, 75, 76, 98, 117, 120, 162, 265, 281, 286, 295, 301, 309], "76517865": 17, "14": [17, 18, 23, 31, 54, 59, 60, 62, 63, 64, 67, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 160, 162, 225, 233, 257, 262, 267, 269, 287, 288, 289, 291, 293, 295, 301, 309], "06240005": 17, "24": [17, 19, 24, 116, 117, 150, 162, 231, 232, 241, 245, 257, 263, 265, 272, 282, 286, 288, 295, 301, 305], "599623": 17, "dewpoint": [18, 19, 23, 26, 27, 31, 32, 54, 58, 59, 60, 62, 63, 64, 71, 72, 75, 76, 77, 82, 87, 94, 98, 106, 112, 113, 120, 122, 129, 132, 186, 193, 230, 231, 237, 240, 242, 243, 248, 249, 251, 255, 256, 266, 270, 272, 274, 275, 278, 280, 281, 283, 291, 299, 300, 301, 303, 305, 309], "parcel_profil": [18, 29, 31, 58, 59, 60, 63, 68, 71, 76, 77, 112, 230, 231, 248, 300, 303, 309], "which_lfc": 18, "which_el": 18, "cape": [18, 31, 59, 63, 71, 100, 111, 112, 160, 193, 229, 230, 231, 248, 295, 300, 301, 305, 308], "cin": [18, 63, 71, 112, 193, 230, 231, 248, 300, 301, 305], "convect": [18, 19, 59, 63, 71, 112, 160, 180, 184, 185, 193, 248, 270, 285, 288, 305], "avail": [18, 32, 63, 71, 92, 112, 137, 141, 144, 146, 162, 164, 175, 177, 179, 186, 187, 190, 193, 223, 225, 226, 228, 229, 284, 291, 294, 296, 299, 301, 305, 307, 309, 310], "energi": [18, 30, 63, 69, 71, 112, 118, 193, 305], "inhibit": [18, 63, 71, 112, 160, 193, 305], "upper": [18, 43, 44, 58, 63, 71, 75, 112, 133, 178, 180, 184, 186, 193, 230, 231, 232, 233, 237, 240, 242, 248, 249, 251, 258, 270, 272, 274, 275, 278, 280, 281, 282, 285, 288, 296, 297, 298, 305, 309], "parcel": [18, 24, 29, 30, 31, 32, 58, 59, 60, 63, 64, 68, 69, 71, 72, 75, 76, 77, 92, 98, 112, 127, 128, 129, 132, 193, 230, 231, 243, 248, 281, 300, 305, 309], "path": [18, 31, 59, 63, 71, 121, 141, 172, 173, 174, 176, 181, 182, 183, 191, 192, 193, 194, 197, 198, 199, 200, 201, 202, 208, 226, 231, 257, 276, 277, 300, 301], "integr": [18, 62, 63, 68, 71, 112, 162, 226, 228, 258, 301, 305], "lfc": [18, 19, 31, 63, 71, 112, 248, 303, 305], "el": [18, 19, 59, 63, 71, 112, 193, 248, 295, 303, 305], "intersect": [18, 19, 31, 35, 59, 63, 71, 73, 112], "logarithm": [18, 35, 63, 71, 112, 150, 257, 300, 305], "interest": [18, 29, 60, 68, 75, 76, 77, 226, 228, 229, 295, 301], "choos": [18, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 271, 286], "valid": [18, 40, 41, 103, 123, 146, 157, 158, 159, 168, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 222, 257, 265, 271, 276, 286, 289, 290, 293, 296, 301, 305, 309], "wide": [18, 31, 59, 162, 229, 301], "most_cap": [18, 31, 59], "dewpoint_from_relative_humid": [18, 23, 25, 27, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 120, 272, 299, 301, 303, 309], "1008": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124], "950": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 82, 98, 108, 116, 117, 120, 124, 257, 287], "900": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 82, 98, 108, 116, 117, 120, 124, 271, 287], "800": [18, 23, 31, 32, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 79, 92, 98, 108, 116, 117, 120, 124, 287], "750": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 100, 108, 116, 117, 120, 124, 287], "650": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 275, 287, 288], "600": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 193, 287], "550": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 287], "450": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 99, 108, 116, 117, 120, 124, 257, 287], "350": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 225, 281, 287], "300": [18, 23, 31, 54, 59, 60, 62, 63, 64, 68, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 162, 232, 240, 259, 282, 287, 296, 301], "200": [18, 23, 31, 54, 59, 60, 62, 63, 64, 68, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 245, 281, 287, 301], "175": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 162, 287], "150": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 100, 108, 116, 117, 120, 124, 203, 205, 276, 277, 286, 287, 295, 296], "125": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 111, 113, 116, 117, 120, 124, 257, 258, 259, 287, 295, 296], "80": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 128, 129, 162, 178, 193, 226, 231, 234, 246, 250, 252, 253, 254, 264, 266, 274, 280, 286, 295, 300], "70": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 236, 265, 266, 267, 275, 286, 295, 296, 309], "40": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 170, 171, 175, 177, 179, 187, 188, 189, 190, 222, 230, 231, 234, 235, 239, 245, 246, 248, 250, 252, 253, 254, 264, 265, 274, 280, 286, 295, 300, 301], "28": [18, 23, 31, 54, 58, 59, 60, 62, 63, 64, 66, 68, 71, 72, 75, 76, 82, 98, 108, 116, 117, 120, 124, 162, 225, 241, 263, 292, 295, 301, 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62, 63, 64, 71, 72, 75, 76, 82, 90, 98, 99, 106, 108, 111, 116, 117, 120, 124, 133, 160, 162, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 182, 183, 186, 187, 188, 189, 190, 192, 195, 197, 198, 199, 200, 201, 202, 203, 205, 225, 228, 229, 231, 232, 238, 243, 248, 258, 263, 264, 265, 266, 267, 271, 272, 273, 275, 281, 282, 283, 286, 290, 291, 293, 295, 296, 299, 301, 303, 304, 305, 309], "8": [18, 19, 23, 29, 30, 31, 54, 59, 60, 62, 63, 64, 68, 69, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 138, 160, 162, 193, 209, 225, 231, 232, 240, 245, 247, 249, 257, 258, 259, 260, 263, 265, 271, 272, 273, 275, 277, 281, 283, 286, 287, 289, 291, 295, 296, 299, 301, 309], "21": [18, 19, 23, 31, 39, 49, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 162, 231, 237, 243, 248, 265, 287, 295, 301, 304, 309], "52": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 160, 225, 238, 286, 295, 299], "59": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 162, 295], "66": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 88, 98, 108, 116, 117, 120, 124, 160, 162, 231, 257, 259, 265, 295], "74": [18, 23, 31, 54, 59, 60, 62, 63, 64, 66, 71, 72, 75, 76, 88, 89, 98, 108, 116, 117, 120, 124, 160, 162, 225, 232, 243, 295, 296], "78": [18, 23, 31, 32, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 92, 98, 108, 116, 117, 120, 124, 162, 286, 295], "76": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 131, 295], "71": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 122, 124, 160, 295, 299, 309], "61": [18, 23, 31, 50, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 83, 98, 108, 116, 117, 120, 124, 162, 225, 295], "56": [18, 23, 31, 32, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 92, 98, 108, 116, 117, 120, 124, 162, 238, 295, 309], "51": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 160, 162, 271, 287, 295], "47": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 295, 298, 301, 309], "degc": [18, 19, 23, 24, 26, 27, 29, 30, 31, 32, 54, 58, 59, 60, 61, 62, 63, 64, 66, 68, 69, 71, 72, 75, 76, 82, 84, 87, 88, 89, 90, 92, 93, 94, 95, 98, 106, 108, 116, 117, 120, 124, 125, 126, 127, 129, 132, 222, 230, 231, 240, 241, 242, 243, 248, 249, 251, 272, 274, 278, 280, 281, 283, 293, 296, 299, 300, 301, 303, 305, 309], "85": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 170, 231, 248, 259, 260, 284, 289, 295], "65": [18, 23, 31, 54, 59, 60, 62, 63, 64, 66, 71, 72, 75, 76, 98, 117, 120, 162, 232, 257, 271, 293, 295, 296], "39": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 257, 295, 301], "82": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 162, 243, 295], "72": [18, 23, 30, 31, 54, 59, 60, 62, 63, 64, 69, 71, 72, 75, 76, 98, 117, 120, 248, 291, 295, 309], "86": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 295], "64": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 160, 162, 232, 248, 295, 296, 299], "05": [18, 23, 31, 54, 58, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 117, 120, 231, 249, 257, 258, 271, 281, 293, 296, 301, 303], "48": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 162, 265, 286, 295, 301, 309], "88": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 289, 295, 309], "67": [18, 21, 23, 24, 25, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 89, 98, 117, 120, 162, 248, 295], "04": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 117, 120, 204, 256, 257, 271, 287, 288, 298, 301], "94": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 162, 225, 257, 277, 295, 301], "35": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 162, 257, 259, 282, 283, 286, 289, 295, 301], "td": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 120, 230, 231, 237, 238, 240, 242, 243, 248, 249, 251, 272, 274, 278, 280, 281, 295, 300, 305, 309], "comptur": [18, 248], "prof": [18, 31, 60, 230, 231, 248, 309], "4703": [18, 71], "77306": [18, 71], "joul": [18, 63, 71, 248, 299, 301], "kilogram": [18, 24, 30, 63, 65, 66, 67, 69, 71, 93, 106, 107, 238, 248, 299, 301], "adopt": [18, 226, 229], "hobbs1977": [18, 20, 50, 65, 66, 83, 88, 89, 93, 122, 225], "r_d": [18, 68, 95, 116, 117, 138], "int_": [18, 61, 116, 117, 131], "_": [18, 100, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 231, 248, 267], "env": [18, 226, 301], "free": [18, 59, 226, 305], "equilibrium": [18, 31, 193, 305], "begin": [18, 64, 178, 185, 226, 229, 243, 271, 300, 305], "gravit": [18, 39, 49, 70, 138], "acceler": [18, 70, 138], "virtual": [18, 24, 95, 116, 117, 125, 126, 127, 128, 129, 305], "environ": [18, 21, 100, 111, 193, 305, 307], "dewpt": [18, 31, 58, 59, 64, 75, 76, 82, 87, 303], "mixed_layer_depth": 19, "condens": [19, 58, 100, 193, 230, 300, 305], "directli": [19, 34, 86, 105, 160, 161, 162, 166, 168, 196, 222, 226, 257, 258, 299, 301, 309], "usaf1990": [19, 59, 225], "ambient": [19, 25, 26, 94, 98, 122, 230, 238], "line": [19, 35, 73, 175, 177, 178, 185, 191, 192, 193, 194, 195, 196, 210, 211, 212, 226, 230, 231, 272, 274, 276, 277, 278, 280, 281, 286, 295, 296, 300, 305, 309, 310], "mix": [19, 24, 25, 58, 62, 63, 64, 65, 66, 67, 88, 89, 93, 107, 116, 122, 125, 126, 127, 128, 129, 193, 231, 248, 251, 255, 256, 270, 300, 303, 305], "start": [19, 29, 52, 53, 58, 68, 75, 76, 77, 112, 132, 140, 141, 145, 193, 208, 226, 230, 231, 234, 235, 239, 243, 245, 246, 247, 250, 252, 253, 254, 257, 259, 272, 282, 283, 294, 296, 305, 306], "averag": [19, 39, 49, 62, 102, 131, 144, 146, 162, 170, 259, 264, 299, 305], "shallow": [19, 102, 196, 208], "high": [19, 31, 34, 59, 75, 76, 77, 112, 162, 166, 167, 230, 231, 247, 276, 289, 305], "low": [19, 31, 34, 59, 75, 76, 77, 102, 112, 113, 166, 167, 230, 231, 247, 276, 277, 305], "thick": [19, 43, 44, 62, 64, 66, 87, 116, 117, 175, 231, 248, 255, 256, 270, 305], "pick": [19, 31, 59, 302], "everi": [19, 58, 160, 161, 162, 245, 278, 294, 299], "lcl": [19, 32, 59, 75, 76, 77, 92, 100, 132, 193, 230, 231, 243, 248, 281, 300, 303, 305], "mpcalc": [19, 116, 230, 231, 234, 235, 236, 238, 239, 241, 244, 245, 246, 247, 248, 250, 252, 253, 254, 257, 271, 274, 275, 278, 280, 281, 293, 296, 299, 300, 301, 309, 310], "993": [19, 132], "957": 19, "886": 19, "813": [19, 288, 289, 301], "798": [19, 301], "732": 19, "716": 19, "mbar": [19, 79, 115, 238, 278, 283, 299], "34": [19, 162, 265, 271, 287, 293, 295, 301, 309], "27": [19, 51, 81, 122, 162, 241, 263, 264, 271, 286, 295, 299, 301, 309], "19": [19, 23, 25, 75, 84, 90, 107, 162, 233, 257, 259, 263, 266, 267, 283, 286, 292, 295, 301, 309], "17": [19, 25, 75, 94, 162, 175, 177, 179, 187, 190, 225, 232, 248, 257, 263, 266, 271, 283, 289, 292, 293, 295, 301], "16": [19, 62, 67, 160, 162, 175, 177, 179, 187, 190, 225, 231, 232, 235, 239, 245, 257, 259, 263, 266, 271, 272, 275, 281, 286, 287, 292, 293, 295, 301, 309], "ccl_p": 19, "ccl_t": 19, "t_c": 19, "758": 19, "348093": 19, "38": [19, 162, 225, 264, 266, 267, 284, 286, 295, 301, 309], "4336274": 19, "degree_celsiu": [19, 25, 26, 27, 29, 31, 54, 58, 59, 62, 64, 68, 72, 75, 129, 132, 238, 243, 248, 299, 300, 301], "outlin": [20, 24, 32, 38, 48, 50, 83, 84, 90, 92, 127, 128, 129, 136, 185, 204, 226, 305], "pg": [20, 24, 38, 39, 47, 49, 50, 59, 65, 66, 67, 83, 88, 89, 93, 107, 109, 122, 127, 128, 129, 131], "370": 20, "371": 20, "forc": [20, 39, 49, 161, 222, 225, 238, 286, 305], "u_storm": [21, 231, 248, 303], "v_storm": [21, 231, 248, 303], "critic": [21, 226, 248], "inflow": [21, 248], "500m": 21, "90": [21, 78, 162, 231, 272, 286, 289, 293, 295, 305, 309], "ingest": 21, "pure": [21, 229], "streamwis": 21, "its": [21, 46, 56, 65, 72, 105, 137, 140, 147, 160, 161, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 227, 229, 230, 231, 264, 265, 271, 277, 294, 296, 300, 301, 307], "updraft": 21, "esterheld2008": [21, 225], "show": [21, 184, 230, 231, 232, 233, 234, 235, 236, 239, 240, 244, 245, 246, 247, 250, 252, 253, 254, 257, 258, 259, 260, 263, 264, 265, 266, 267, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 286, 287, 289, 290, 291, 293, 295, 296, 299, 300, 305, 306, 309], "significantli": 21, "tornad": [21, 225], "tend": [21, 229], "occur": [21, 59, 305], "0942521": 21, "data_x": [22, 74, 114], "data_i": [22, 74, 114], "component_tangenti": [22, 114], "component_norm": [22, 74], "tangential_compon": [22, 74, 305], "normal_compon": [22, 114, 305], "analysi": [22, 53, 70, 79, 80, 89, 140, 180, 184, 186, 203, 204, 225, 264, 267, 270, 276, 285, 287, 288, 292, 296, 300, 301, 304, 305, 309], "total": [23, 24, 27, 32, 33, 38, 65, 66, 79, 84, 86, 88, 89, 90, 92, 93, 109, 113, 115, 119, 120, 122, 124, 125, 126, 127, 129, 138, 162, 225, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 288, 289, 290, 291, 292, 293, 295, 296, 298, 299, 300, 301, 305], "deriv": [23, 36, 39, 40, 41, 46, 49, 54, 56, 60, 80, 96, 98, 113, 120, 123, 124, 130, 166, 167, 222, 225, 229, 305], "miller1972": [23, 113, 120, 124, 225], "ct": [23, 120, 295], "td850": [23, 54, 120], "t500": [23, 54, 60, 98, 120, 124], "part": [23, 124, 157, 158, 159, 193, 225, 226, 228, 229, 294, 295, 296, 299, 301, 305, 306], "7741081": 23, "delta_degree_celsiu": [23, 60, 98, 120, 124, 248, 299], "mixing_ratio": [24, 67, 88, 106, 107, 116, 122, 125, 126, 127, 128, 129, 193, 251, 281, 303, 305], "molecular_weight_ratio": [24, 65, 116, 127, 128, 129, 138], "62195691": [24, 127], "mass": [24, 62, 65, 88, 116, 122, 127, 128, 138, 301, 305], "molecular": [24, 65, 116, 127, 128, 129, 138], "constitu": [24, 65, 116, 127, 128, 129], "water": [24, 25, 65, 82, 84, 93, 94, 116, 122, 127, 128, 129, 160, 203, 204, 225, 232, 261, 262, 270, 305], "vapor": [24, 25, 65, 84, 87, 90, 93, 94, 116, 122, 127, 128, 129, 138, 203, 204, 238, 261, 262, 270, 305], "epsilon": [24, 65, 68, 93, 116, 122, 127, 128, 129, 138], "approx0": [24, 65, 116, 127, 128, 129], "622": [24, 65, 116, 127, 128, 129], "kg": [24, 27, 65, 66, 67, 69, 93, 100, 106, 107, 111, 122, 127, 128, 138, 231, 238, 245, 248, 271, 281, 287, 299, 305], "21307146": 24, "rho": [24, 125, 126, 259], "r_dt": 24, "vapor_pressur": [25, 65, 94, 238, 303, 305], "0291018": 25, "saturation_vapor_pressur": [25, 26, 84, 87, 90, 122, 305], "invert": [25, 50, 230, 231], "bolton1980": [25, 32, 92, 94, 225], "satur": [25, 29, 59, 66, 68, 84, 87, 88, 89, 90, 92, 93, 94, 193, 225, 243, 305], "yield": [25, 62, 243, 296, 301, 305], "celsiu": [25, 94, 166, 167, 243, 278, 293, 296, 299, 305], "243": [25, 94], "log": [25, 52, 53, 143, 150, 193, 225, 230, 231, 264, 274, 278, 280, 300, 305, 309], "112": [25, 94, 295], "percent": [26, 84, 87, 88, 89, 90, 160, 265, 271, 299, 303, 309], "0536760815": 26, "meteogram": [26, 203, 270, 292, 305], "With": [26, 296, 297, 298, 309], "tutori": [26, 42, 58, 75, 102, 112, 133, 135, 166, 171, 175, 177, 178, 180, 184, 186, 187, 188, 189, 193, 222, 226, 228, 298, 299, 303, 308, 309, 310], "specific_humid": [27, 67, 69, 89, 257, 271, 287, 303], "specif": [27, 67, 69, 70, 84, 89, 106, 107, 115, 136, 138, 157, 158, 159, 162, 175, 187, 193, 204, 207, 226, 229, 271, 283, 286, 294, 296, 299, 305], "dew": [27, 71, 86, 98, 166, 167, 193, 275, 282, 305], "73203192": 27, "relative_humidity_from_mixing_ratio": [27, 66, 89, 303], "numer": [28, 35, 91, 130, 143, 193, 195, 196, 213, 222, 225, 296, 305, 309], "vec": [28, 51, 85, 121], "reference_pressur": [29, 33, 68, 303], "process": [29, 68, 92, 178, 193, 226, 228, 290, 291, 301, 305], "lift": [29, 58, 59, 60, 68, 75, 76, 77, 98, 100, 193, 225, 230, 231, 243, 248, 300, 305], "conserv": [29, 301], "first": [29, 30, 32, 36, 46, 59, 61, 68, 76, 77, 80, 92, 102, 112, 113, 116, 117, 131, 155, 185, 193, 196, 208, 216, 226, 229, 230, 231, 243, 259, 275, 282, 283, 299, 300, 301, 305, 310], "element": [29, 68, 80, 170, 171, 180, 187, 188, 195, 226, 231, 275, 282, 283, 296, 305], "plev": [29, 68, 293], "65249458": 29, "92593808": 29, "91786723": 29, "moist_laps": [29, 75, 76, 77, 132, 193, 243, 303, 305], "liquid": [29, 68, 138, 162, 305], "complet": [29, 64, 68, 184, 226, 228, 229, 282, 283, 286, 290, 291, 296, 299], "reliabl": [29, 68], "ref_pressur": [29, 68, 303], "mountain": [29, 58, 68, 255, 256, 270, 305], "problem": [29, 58, 68, 226, 229, 255, 256, 270, 300, 301, 302], "static": [30, 54, 69, 85, 108, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 226, 229, 255, 256, 270, 272, 305], "two": [30, 35, 55, 57, 73, 80, 101, 102, 103, 119, 120, 121, 141, 164, 170, 171, 175, 177, 179, 180, 187, 188, 190, 193, 197, 198, 199, 225, 226, 229, 231, 264, 265, 286, 299, 301, 305, 307, 309], "292": [30, 257, 271, 272, 287, 292, 301], "268557": 30, "kilojoul": [30, 69], "montgomery_streamfunct": [30, 271, 305], "c_": [30, 68, 69, 109, 138], "pd": [30, 68, 69, 138, 230, 231, 237, 240, 242, 248, 249, 251, 267, 274, 275, 278, 280, 281, 283, 290, 291, 300, 305], "gz": [30, 69, 70, 160, 161, 259, 309], "parcel_temperature_profil": [31, 59, 303], "last": [31, 52, 101, 102, 103, 196, 208, 228, 230, 231, 305, 307, 310], "ideal": [31, 59, 226, 271, 283, 305], "environment": [31, 225, 271, 301], "fewer": [31, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190], "whose": [31, 59, 61, 102, 131, 170, 171, 175, 177, 179, 180, 185, 186, 187, 188, 189, 190, 305], "farthest": [31, 59], "awai": [31, 59, 263, 267], "111": [31, 271, 293, 295], "739463": 31, "3112792": 31, "l": [32, 92, 121, 225, 231, 276, 277, 295], "theta_": [32, 92, 240], "dl": [32, 92, 295], "28r": [32, 92], "final": [32, 92, 216, 226, 228, 241, 243, 267, 286, 296, 299, 301], "3036": [32, 92], "r": [32, 50, 65, 82, 83, 85, 92, 116, 122, 148, 149, 160, 162, 225, 230, 231, 232, 245, 259, 264, 265, 271, 272, 274, 278, 280, 281, 300, 304, 305, 309], "448r": [32, 92], "353": 32, "937994": 32, "kelvin": [32, 61, 79, 92, 115, 116, 127, 128, 193, 235, 240, 241, 242, 245, 249, 271, 299, 301, 305], "accord": [32, 92, 100, 222], "daviesjones2009": [32, 92, 225], "accur": [32, 92, 225], "iter": [32, 52, 53, 58, 92, 132, 163, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 265], "formul": [32, 34, 36, 53, 92, 96, 225], "exner": 33, "p_0": [33, 50, 79, 83, 115, 138], "kappa": [33, 79, 115, 138, 148, 149, 264], "visa": [33, 301], "versa": [33, 301], "against": [33, 226, 228, 229, 305], "p0": [33, 138], "temperature_from_potential_temperatur": [33, 303], "arr": [34, 216], "from_below": 34, "surround": 34, "within": [34, 72, 102, 108, 148, 149, 175, 177, 179, 180, 186, 187, 190, 222, 226, 228, 229, 263, 264, 265, 286, 294, 295, 305, 307, 309], "good": [34, 214, 226, 230, 231, 274, 280, 300, 309], "list": [34, 52, 61, 91, 131, 141, 142, 147, 153, 154, 155, 157, 158, 159, 161, 162, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 196, 206, 208, 211, 212, 224, 225, 226, 228, 229, 257, 263, 264, 265, 266, 267, 271, 272, 275, 281, 293, 295, 296, 302, 304, 305, 309, 310], "These": [34, 136, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 222, 229, 265, 300, 301, 303, 305, 307, 310], "numpi": [34, 75, 76, 86, 99, 105, 121, 141, 144, 145, 148, 149, 151, 152, 175, 177, 213, 216, 218, 228, 229, 231, 232, 241, 243, 247, 248, 257, 259, 260, 263, 264, 265, 266, 267, 271, 272, 277, 278, 281, 283, 299, 301, 305, 307, 309], "get": [34, 102, 159, 160, 163, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 226, 236, 257, 259, 267, 271, 275, 278, 283, 290, 291, 294, 295, 306, 310], "expect": [34, 80, 226, 243, 276, 283, 299, 303, 305], "extra": [34, 192, 231, 283], "slice": [34, 140, 147, 257, 296], "ellipsi": 34, "necessari": [34, 167, 180, 193, 195, 226, 228, 229, 265, 276, 299], "boolean": [34, 86, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 305], "column": [34, 157, 158, 159, 164, 166, 167, 168, 180, 185, 219, 237, 240, 242, 249, 251, 283, 286, 287, 289, 305], "actual": [34, 57, 94, 102, 195, 196, 223, 228, 231, 275, 282, 283, 296, 299, 301], "had": [34, 226, 296, 303], "bound": [34, 142, 150, 178, 271, 274, 275, 280, 282, 283, 293, 305], "desir": [34, 52, 53, 58, 80, 86, 142, 145, 150, 170, 171, 175, 177, 179, 180, 186, 187, 188, 189, 190, 218, 243, 271, 293, 295, 296, 299, 301, 305], "search": [34, 52, 53, 144, 145, 146, 168, 226, 265, 294, 302, 303, 305], "One": [34, 52, 53, 137, 159, 162, 229, 296, 301, 303, 309], "more": [34, 37, 55, 86, 101, 102, 103, 104, 105, 118, 119, 144, 146, 180, 186, 187, 228, 229, 230, 231, 270, 271, 275, 282, 295, 296, 299, 300, 301, 303, 305, 306, 309, 310], "proce": [34, 301], "log_x": 35, "best": [35, 175, 177, 179, 187, 190, 206, 229, 299, 301, 309, 310], "estim": [35, 145, 229, 231, 248, 265, 305], "share": [35, 301, 302], "common": [35, 73, 145, 170, 171, 186, 187, 188, 189, 226, 229, 243, 248, 287, 290, 291, 296, 297, 301, 303, 309], "increas": [35, 80, 102, 137, 178, 204, 226, 231], "decreas": [35, 102], "implicitli": 35, "regularli": [36, 46, 56, 96], "vari": [36, 46, 52, 53, 56, 96, 102, 305], "inform": [36, 37, 46, 55, 56, 96, 118, 130, 144, 146, 156, 157, 158, 159, 161, 162, 163, 164, 167, 211, 212, 222, 226, 227, 228, 229, 258, 259, 260, 263, 264, 265, 267, 271, 277, 286, 294, 295, 299, 301, 303, 305, 306, 309, 310], "neither": [36, 46, 56, 96], "nor": [36, 46, 56, 96], "belong": [36, 46, 56, 96, 222], "backward": [36, 96, 227, 301], "edg": [36, 96, 101, 103, 104, 105, 160, 180, 185, 259, 265, 305], "center": [36, 91, 96, 148, 149, 168, 180, 186, 195, 196, 225, 231, 265, 271, 272, 275, 276, 277, 282, 286, 287, 289, 293, 296, 305], "elsewher": [36, 96], "irregular": [36, 96, 293], "handl": [36, 96, 142, 150, 160, 161, 162, 170, 171, 175, 177, 179, 180, 187, 188, 189, 190, 193, 220, 222, 226, 228, 236, 244, 258, 259, 270, 276, 283, 292, 296, 299, 301, 303, 309], "explicitli": [36, 96, 303, 305], "bowen2005": [36, 96, 225], "ndarrai": [36, 96, 99, 105, 121, 141, 144, 145, 146, 148, 149, 151, 152, 213, 216, 299], "integ": [36, 46, 56, 96, 102, 166, 167, 170, 171, 175, 177, 179, 180, 185, 186, 187, 188, 190, 222, 263, 283, 296, 299, 305], "string": [36, 40, 41, 46, 56, 96, 123, 157, 158, 159, 162, 164, 167, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 188, 190, 193, 195, 196, 204, 206, 211, 212, 213, 222, 226, 228, 236, 244, 259, 272, 275, 283, 295, 296, 299, 301, 305], "name": [36, 46, 53, 56, 96, 138, 156, 157, 160, 161, 162, 164, 166, 168, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 211, 212, 219, 222, 226, 228, 229, 230, 231, 237, 240, 242, 248, 249, 251, 259, 260, 267, 271, 272, 274, 278, 280, 281, 283, 286, 287, 295, 296, 299, 300, 301, 305], "type": [36, 46, 56, 57, 91, 96, 144, 146, 160, 161, 162, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 214, 222, 223, 229, 259, 276, 283, 296, 301, 305, 309], "implicit": [36, 46, 56, 96], "convers": [36, 46, 56, 96, 193, 195, 196, 216, 226, 231, 232, 271, 275, 283, 299, 301, 309], "select": [36, 86, 96, 157, 158, 159, 162, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 230, 231, 283, 286, 295, 296, 301, 305], "kwarg": [36, 46, 52, 56, 57, 63, 71, 90, 96, 134, 157, 158, 159, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 192, 193, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 208, 218, 222, 303], "second_deriv": [36, 56, 303], "perturb": [37, 45, 55, 118], "friction": 37, "veloc": [37, 55, 118, 125, 126, 138, 162, 301], "seri": [37, 45, 55, 118, 178, 226, 272, 300, 305], "suppli": [37, 105, 118, 222, 301, 305, 309], "remov": [37, 55, 118, 153, 154, 155, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 226, 231, 267, 271, 286, 290, 296], "kinematic_flux": 37, "kinemat": [37, 38, 55, 225, 231, 272, 301], "flux": [37, 47, 55, 229, 305], "u_": [37, 109], "sqrt": [37, 118, 121, 247, 264, 305], "overlin": [37, 45, 55, 95, 118], "prime": [37, 45, 55, 118, 301], "math": [37, 231, 299], "reduc": [37, 86, 92, 137, 170, 171, 186, 188, 229, 271, 275, 282, 296, 299, 305], "subject": [37, 55, 118, 160, 229], "pleas": [37, 55, 118, 226, 270, 286, 302, 303, 304, 305, 309], "see": [37, 47, 48, 55, 118, 137, 140, 144, 146, 147, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 196, 214, 222, 226, 228, 235, 265, 290, 296, 299, 301, 303, 305, 306, 309, 310], "garratt1994": [37, 55, 118, 225], "form": [38, 51, 53, 85, 167, 170, 171, 188, 265, 302], "petterssen": 38, "bluestein1993": [38, 80, 225], "248": 38, "253": [38, 271, 301], "co": [38, 180, 225, 264, 265, 295, 305], "beta": [38, 85], "deform": [38, 97, 110, 119, 239, 254, 255, 256, 270, 305], "dilat": 38, "isentrop": [38, 52, 53, 70, 80, 89, 203, 204, 225, 229, 270, 292, 305], "diverg": [38, 130, 229, 255, 256, 270, 303, 305], "To": [38, 51, 52, 75, 76, 116, 175, 177, 179, 187, 190, 222, 226, 228, 243, 271, 296, 299, 300, 301, 305, 309], "100km": [38, 266], "3h": 38, "multipli": [38, 136, 170, 171, 175, 177, 179, 187, 188, 189, 190, 195, 265, 296, 299, 305], "08e9": 38, "thta": [38, 303, 305], "69": [39, 49, 70, 295, 309], "eq": [39, 49, 295, 305], "approxim": [39, 49, 91, 102, 225, 238], "variat": [39, 49, 226, 229, 305], "graviti": [39, 49, 138, 305], "phi": [39, 49, 162, 259], "r_e": [39, 49, 138], "gr_e": 39, "earth": [39, 49, 70, 170, 171, 188], "radiu": [39, 49, 86, 101, 138, 144, 146, 148, 149, 247, 264, 265, 282, 305], "geopot": [39, 49, 303], "9805": [39, 49], "19607": [39, 49], "29406": [39, 49], "999": [39, 286], "98867965": 39, "1999": [39, 225, 231], "98521653": 39, "2999": 39, "98947022": 39, "height_to_geopotenti": 39, 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180, 185, 186, 191, 192, 225, 226, 234, 235, 239, 246, 250, 252, 253, 254, 257, 267, 271, 287, 296, 299, 300, 301, 305], "In": [46, 56, 102, 134, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 226, 228, 229, 271, 283, 290, 291, 293, 296, 299, 300, 301, 302, 303, 305, 307, 309, 310], "gener": [46, 56, 144, 146, 148, 149, 151, 152, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 208, 209, 222, 225, 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, 257, 258, 259, 260, 263, 264, 265, 266, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 289, 290, 291, 293, 294, 295, 296, 297, 299, 300, 301, 303, 304, 305, 307, 309], "There": [46, 56, 65, 96, 180, 226, 228, 286, 296, 299, 301, 302, 309], "first_deriv": [46, 96, 123, 303, 305], "give": [46, 195, 222, 226, 228, 230, 231, 271, 274, 276, 280, 289, 299, 300, 305], "richardson": [47, 225, 229, 305], "ri": [47, 295], "holton2004": [47, 131, 225], "121": [47, 225, 301], "122": [47, 271, 295], "turbul": [47, 118, 162, 305], "rothfusz1990": [48, 225], "multi": [48, 80, 305, 309], "least": [48, 55, 57, 80, 86, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 226, 296, 301, 305], "regress": 48, "steadman1979": [48, 225], "addit": [48, 52, 53, 63, 71, 193, 195, 196, 228, 229, 271, 299, 301, 305, 309], "what": [48, 144, 146, 148, 149, 170, 171, 188, 228, 229, 231, 232, 265, 286, 296, 309, 310], "nation": [48, 160, 225, 229, 257, 271, 286, 287, 301, 305], "weather": [48, 113, 166, 167, 213, 225, 229, 231, 248, 257, 266, 271, 275, 276, 282, 283, 287, 290, 294, 300, 301, 305], "servic": [48, 225, 226, 228, 229, 257, 287, 300, 301, 305, 309], "operation": [48, 231], "figur": [48, 180, 184, 193, 203, 205, 229, 230, 231, 232, 233, 234, 235, 239, 240, 245, 246, 250, 252, 253, 254, 257, 258, 259, 260, 266, 267, 271, 272, 274, 276, 278, 280, 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222, 226, 227, 228, 229, 230, 231, 233, 237, 240, 242, 248, 249, 251, 257, 271, 274, 275, 278, 280, 281, 282, 283, 295, 296, 299, 300, 301, 302, 303, 305, 309], "output": [52, 53, 57, 137, 141, 157, 158, 159, 166, 167, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 216, 229, 231, 232, 257, 271, 290, 293, 296, 301, 305], "maximum": [52, 53, 58, 72, 138, 162, 166, 167, 178, 222, 243, 264, 296, 305], "error": [52, 53, 58, 225, 231, 299, 301, 305, 309], "control": [52, 53, 86, 145, 161, 162, 170, 171, 178, 188, 192, 193, 195, 196, 228, 272, 273, 275, 282, 296, 305], "up": [52, 53, 75, 76, 77, 145, 163, 164, 193, 195, 196, 214, 221, 228, 240, 243, 264, 267, 271, 276, 282, 283, 293, 294, 296, 301, 304, 307], "lower": [52, 53, 145, 180, 225, 232, 233, 275, 282, 296, 305], "down": [52, 53, 86, 132, 145, 226, 229, 243, 257, 301], "isentropic_interpolation_as_dataset": [52, 271], "linearli": [52, 53, 193], "natur": [52, 53, 146, 151, 152, 225, 268, 269, 270, 305], "linear": [52, 53, 140, 143, 144, 145, 146, 147, 305], "ziv1994": [52, 53, 225], "new": [52, 53, 140, 147, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 196, 208, 216, 222, 225, 226, 227, 228, 229, 230, 231, 272, 274, 280, 286, 293, 294, 295, 296, 299, 300, 301, 302, 305, 306, 309], "Will": [52, 75, 76, 153, 154, 155, 193, 305], "theta_level": [52, 303], "coord": [53, 222, 301], "isentropic_interpol": [53, 271, 303], "reli": [53, 222, 226, 228, 229, 277, 299, 309], "upon": [53, 59, 100, 222, 226, 228, 309], "george1960": [54, 225], "t850": [54, 120, 124], "t700": 54, "td700": 54, "add": [54, 164, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 196, 203, 204, 205, 208, 226, 228, 229, 230, 231, 237, 240, 242, 249, 251, 257, 265, 271, 274, 275, 277, 278, 280, 281, 282, 283, 286, 287, 289, 290, 291, 296, 299, 300, 301, 304, 305, 309], "moistur": [54, 95, 113, 226, 229, 243, 305], "850hpa": 54, "dryness": 54, "airmass": 54, "9395759": 54, "vel": 55, "mai": [55, 94, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 206, 226, 229, 231, 248, 301, 303, 304, 305, 308], "perform": [55, 144, 146, 148, 149, 193, 195, 228, 229, 231, 237, 238, 240, 242, 243, 248, 249, 251, 265, 275, 282, 283, 294, 297, 299, 300, 301, 305, 308], "notat": 55, "howev": [55, 92, 301, 303], "rewritten": 55, "computation": 55, "effici": [55, 309], "how": [55, 177, 179, 190, 195, 196, 226, 228, 229, 230, 231, 236, 237, 240, 242, 243, 244, 248, 249, 251, 273, 274, 275, 278, 280, 281, 282, 283, 284, 286, 294, 299, 300, 301, 303, 305, 306, 307, 309, 310], "format": [57, 144, 156, 157, 158, 159, 160, 162, 167, 180, 186, 195, 196, 204, 210, 228, 244, 272, 275, 282, 283, 290, 291, 295, 296, 299, 304, 305], "At": [57, 80, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 226, 305], "sign": [57, 223, 302, 305], "accept": [57, 175, 177, 179, 180, 185, 188, 190, 222, 226, 229, 296, 301], "densifi": 57, "dask": [57, 222, 301], "lazi": [57, 222], "load": [57, 160, 222, 234, 235, 239, 245, 246, 250, 252, 253, 254, 301], "state": [58, 158, 159, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 225, 229, 232, 257, 266, 267, 271, 273, 275, 276, 282, 283, 286, 289, 290, 291, 293, 295, 296, 303, 305, 309], "943": 58, "33": [58, 125, 126, 129, 162, 225, 248, 264, 271, 275, 286, 287, 295, 301], "877": 58, "563323": 58, "26": [58, 62, 72, 162, 235, 241, 245, 248, 263, 275, 286, 287, 288, 295, 296, 301, 305], "7734921": 58, "approach": [58, 151, 152, 229, 265, 266], "basic": [58, 225, 231, 247, 266, 296, 309], "until": [58, 243, 265, 300], "converg": [58, 305], "guarante": [58, 226], "finish": [58, 283], "virtu": 58, "counter": 58, "advanc": [58, 75, 133, 193, 203, 226, 228, 229, 231, 270, 292, 305, 309], "dewpoint_start": [59, 303], "forth": 59, "adiabat": [59, 68, 75, 76, 77, 132, 138, 193, 243, 300, 305], "befor": [59, 73, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 196, 204, 222, 226, 228, 231, 243, 265, 296, 301, 303, 305, 309], "freeli": [59, 294], "rise": [59, 243, 300], "968": 59, "171757": 59, "8362857": 59, "galway1956": [60, 98, 225], "referenc": 60, "doswellschultz2006": [60, 225], "li": [60, 160, 248, 286, 295], "tp500": [60, 98], "42560365": 60, "arbitrari": [61, 105, 131, 193, 218, 222, 247, 305], "mpw": 61, "p_b": [61, 131], "dp": [61, 68, 82, 125, 126, 131], "being": [61, 84, 131, 133, 134, 172, 173, 174, 176, 181, 182, 183, 186, 193, 197, 198, 199, 200, 201, 202, 226, 229, 296, 301, 305, 308, 309], "continu": [61, 131, 226, 228, 229, 301, 305], "weighted_continuous_averag": 61, "298": [61, 301], "54368": 61, "over": [62, 137, 142, 150, 163, 226, 229, 237, 240, 242, 264, 283, 290, 293, 295, 296, 301, 305], "theorem": 62, "datavar": 62, "5798571": 62, "675935": 62, "mixed_parcel": [63, 231, 248, 303], "711": [63, 271, 287], "239032": 63, "48053989": 63, "cape_cin": [63, 71, 112, 248, 303, 305], "parcel_start_pressur": [64, 303], "750033": 64, "1998736": 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310], "cr": [3, 6, 7, 28, 38, 40, 41, 42, 51, 80, 81, 85, 97, 110, 119, 123, 130, 140, 141, 222, 223, 232, 257, 259, 260, 266, 267, 271, 275, 276, 282, 283, 284, 286, 290, 293, 295, 301], "vortic": [3, 21, 28, 80, 81, 170, 171, 175, 177, 179, 187, 188, 189, 190, 225, 229, 232, 255, 256, 270, 296, 303, 305], "horizont": [3, 6, 28, 40, 41, 46, 97, 110, 119, 130, 144, 177, 179, 190, 193, 204, 222, 223, 232, 239, 271, 293, 296, 301], "n": [3, 6, 7, 9, 10, 13, 14, 15, 28, 38, 40, 41, 42, 51, 80, 81, 85, 86, 97, 101, 102, 103, 104, 105, 109, 110, 119, 123, 130, 144, 145, 146, 147, 148, 149, 151, 152, 160, 162, 170, 195, 196, 225, 226, 232, 236, 243, 257, 258, 264, 265, 266, 267, 271, 272, 278, 286, 287, 295, 296, 299, 301, 305, 309], "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, 35, 36, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 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282, 296, 299, 300, 301, 302, 303, 304, 305, 309], "item": [3, 6, 7, 28, 36, 38, 40, 41, 42, 46, 51, 52, 56, 80, 81, 85, 96, 97, 110, 119, 123, 130, 160, 163, 195, 196, 208, 216, 222, 226, 257, 259, 296], "less": [3, 6, 7, 28, 36, 38, 40, 41, 42, 46, 51, 56, 80, 81, 85, 96, 97, 102, 105, 110, 113, 119, 123, 130, 154, 193, 243, 257, 305, 309], "than": [3, 6, 7, 10, 28, 35, 36, 38, 40, 41, 42, 46, 51, 56, 65, 80, 81, 85, 96, 97, 101, 102, 103, 105, 110, 113, 119, 123, 130, 154, 185, 186, 193, 226, 230, 231, 240, 243, 276, 278, 295, 296, 299, 301, 305, 309], "size": [3, 6, 7, 28, 36, 38, 40, 41, 42, 46, 51, 56, 80, 81, 85, 96, 97, 101, 103, 104, 105, 110, 119, 123, 130, 147, 172, 173, 174, 175, 176, 177, 179, 180, 181, 182, 183, 184, 185, 186, 190, 193, 197, 198, 199, 200, 201, 202, 203, 205, 207, 222, 226, 231, 232, 247, 257, 259, 260, 266, 267, 271, 272, 273, 275, 276, 277, 279, 280, 282, 283, 286, 287, 289, 290, 291, 293, 295, 296, 300, 305, 309], "applic": [3, 6, 7, 28, 38, 40, 41, 42, 46, 51, 56, 80, 81, 85, 97, 110, 119, 123, 130, 222, 225, 229, 275, 301, 305, 309], "axi": [3, 6, 7, 13, 14, 15, 23, 28, 34, 35, 36, 37, 38, 40, 41, 42, 45, 46, 47, 51, 52, 54, 55, 56, 57, 60, 80, 81, 85, 96, 97, 108, 110, 113, 118, 119, 120, 123, 124, 130, 137, 142, 150, 191, 193, 216, 222, 231, 234, 235, 239, 245, 246, 247, 250, 252, 253, 254, 257, 265, 272, 284, 293, 296, 300, 301, 303, 305], "argument": [3, 6, 7, 13, 14, 15, 23, 28, 38, 40, 41, 42, 47, 51, 52, 53, 54, 57, 60, 63, 71, 80, 81, 85, 97, 102, 109, 110, 113, 119, 120, 123, 124, 130, 142, 150, 166, 167, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 196, 215, 216, 218, 222, 226, 231, 257, 276, 290, 293, 296, 301, 305, 309, 310], "without": [3, 7, 42, 46, 51, 56, 80, 81, 85, 153, 154, 155, 216, 222, 299, 301, 309], "treat": [3, 7, 42, 51, 80, 81, 206], "dimensionless": [3, 7, 18, 23, 24, 31, 42, 51, 54, 59, 60, 62, 63, 64, 65, 66, 71, 72, 75, 76, 80, 81, 88, 93, 98, 100, 111, 116, 117, 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120, 122, 124, 125, 126, 127, 129, 131, 132, 133, 138, 144, 145, 150, 153, 166, 167, 168, 178, 186, 193, 203, 204, 226, 230, 231, 237, 238, 240, 243, 248, 249, 251, 255, 256, 257, 268, 269, 270, 271, 272, 274, 275, 277, 278, 280, 281, 282, 292, 296, 299, 300, 301, 303, 305, 309], "height": [4, 5, 7, 8, 9, 13, 14, 15, 16, 17, 19, 21, 30, 39, 42, 43, 44, 47, 49, 50, 61, 62, 64, 69, 70, 72, 81, 83, 95, 100, 109, 125, 126, 131, 145, 162, 166, 167, 178, 184, 193, 226, 230, 231, 232, 237, 240, 242, 248, 249, 251, 257, 271, 272, 273, 274, 278, 280, 281, 291, 293, 296, 300, 301, 303, 305, 309, 310], "certain": [4, 5, 163, 301], "abov": [4, 5, 8, 9, 19, 34, 39, 43, 44, 49, 55, 62, 64, 80, 100, 102, 166, 167, 175, 193, 226, 229, 240, 265, 282, 286, 295, 296, 301, 303, 305, 309], "anoth": [4, 5, 57, 178, 210, 228, 231, 296, 299, 305, 309], "level": [4, 5, 8, 9, 10, 11, 12, 18, 19, 23, 29, 31, 39, 44, 49, 52, 53, 54, 58, 59, 60, 61, 68, 75, 76, 77, 80, 85, 99, 100, 113, 115, 120, 124, 131, 133, 136, 144, 145, 153, 157, 161, 162, 166, 167, 170, 171, 175, 177, 178, 179, 186, 187, 188, 189, 190, 193, 203, 204, 226, 228, 229, 230, 243, 248, 251, 257, 261, 262, 266, 268, 269, 270, 271, 272, 273, 275, 281, 282, 287, 290, 291, 293, 295, 296, 300, 303, 305, 309, 310], "assum": [4, 5, 8, 9, 12, 24, 29, 39, 43, 46, 49, 51, 52, 53, 57, 61, 65, 68, 72, 86, 92, 95, 102, 116, 117, 119, 125, 126, 127, 128, 129, 131, 136, 145, 168, 175, 177, 179, 184, 187, 190, 228, 238, 305], "standard": [4, 5, 8, 9, 36, 39, 43, 46, 49, 50, 56, 61, 72, 83, 96, 102, 131, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 195, 222, 225, 228, 229, 272, 275, 277, 282, 283, 300, 303, 305], "atmospher": [4, 5, 8, 9, 13, 14, 15, 16, 17, 18, 19, 24, 27, 29, 30, 31, 32, 33, 43, 44, 47, 50, 58, 59, 60, 61, 62, 64, 66, 68, 69, 72, 75, 76, 77, 79, 80, 81, 82, 83, 84, 88, 89, 90, 92, 93, 98, 108, 109, 112, 115, 116, 117, 122, 125, 126, 127, 129, 131, 132, 145, 225, 229, 232, 299, 305, 309], "noaa1976": [4, 5, 9, 43, 50, 83, 225], "exampl": [4, 5, 19, 24, 27, 30, 39, 49, 55, 65, 67, 69, 76, 82, 84, 88, 90, 92, 93, 94, 95, 99, 106, 107, 115, 117, 125, 126, 127, 128, 129, 132, 142, 145, 170, 213, 222, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 296, 297, 299, 300, 303, 304, 305, 309, 310], "import": [4, 5, 16, 17, 18, 19, 21, 23, 24, 25, 26, 27, 29, 30, 31, 32, 39, 49, 54, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 71, 72, 75, 76, 79, 84, 87, 88, 89, 90, 92, 93, 94, 95, 98, 99, 100, 106, 107, 108, 109, 111, 115, 116, 117, 120, 122, 124, 125, 126, 127, 128, 129, 132, 133, 142, 163, 214, 222, 226, 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, 257, 258, 259, 260, 263, 264, 265, 266, 267, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 289, 290, 291, 293, 295, 299, 300, 301, 303, 304, 305, 309], "1000": [4, 5, 16, 17, 18, 21, 23, 24, 27, 29, 30, 31, 32, 33, 54, 59, 60, 61, 62, 63, 64, 65, 66, 69, 71, 72, 75, 76, 82, 88, 89, 90, 92, 98, 99, 100, 108, 109, 111, 116, 117, 120, 124, 129, 230, 231, 233, 238, 243, 245, 257, 264, 265, 271, 274, 278, 280, 281, 287, 300, 301, 309], "hpa": [4, 5, 8, 9, 16, 17, 18, 21, 23, 24, 25, 27, 29, 31, 32, 43, 54, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 71, 72, 75, 76, 82, 84, 88, 89, 90, 92, 93, 94, 98, 99, 106, 108, 109, 113, 116, 117, 120, 122, 124, 125, 126, 127, 129, 131, 132, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 230, 231, 232, 237, 240, 242, 243, 245, 248, 249, 251, 257, 271, 272, 273, 274, 275, 278, 280, 281, 287, 291, 293, 296, 299, 300, 301, 303, 309], "500": [4, 16, 17, 18, 21, 23, 31, 54, 59, 60, 61, 62, 63, 64, 68, 71, 72, 75, 76, 92, 98, 108, 109, 113, 116, 117, 120, 124, 127, 232, 242, 251, 257, 287, 291, 296, 301, 305], "meter": [4, 5, 8, 9, 12, 16, 17, 21, 24, 30, 39, 49, 61, 69, 86, 95, 100, 108, 109, 116, 117, 125, 131, 133, 166, 167, 170, 171, 175, 177, 179, 187, 188, 189, 190, 222, 223, 231, 237, 240, 242, 248, 251, 293, 299, 301, 303, 305, 309], "941": 4, "953016": 4, "hectopasc": [4, 31, 58, 59, 64, 72, 94, 99, 122, 243, 248, 300], "correspond": [4, 5, 11, 12, 13, 14, 15, 18, 20, 23, 24, 31, 36, 37, 39, 43, 46, 47, 48, 49, 50, 52, 54, 55, 56, 59, 60, 62, 64, 79, 83, 96, 98, 108, 112, 113, 115, 118, 120, 124, 127, 128, 129, 136, 165, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 196, 206, 208, 216, 219, 222, 228, 236, 238, 244, 248, 272, 293, 296, 301, 305], "valu": [4, 5, 8, 9, 11, 16, 17, 18, 19, 21, 31, 33, 34, 35, 36, 37, 39, 46, 47, 48, 49, 50, 52, 53, 55, 56, 58, 59, 61, 62, 63, 64, 71, 72, 73, 76, 83, 86, 91, 96, 99, 101, 102, 103, 104, 105, 109, 112, 116, 117, 118, 119, 131, 136, 137, 138, 142, 143, 144, 145, 146, 148, 149, 150, 151, 152, 153, 154, 155, 157, 158, 159, 162, 163, 164, 166, 167, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 196, 206, 208, 211, 212, 213, 216, 222, 225, 230, 231, 232, 234, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 248, 249, 250, 251, 252, 253, 254, 264, 265, 266, 267, 271, 274, 275, 278, 280, 281, 282, 283, 287, 293, 296, 299, 300, 301, 303, 305, 309], "pressure_to_height_std": [4, 5, 116, 117], "height_to_pressure_std": [4, 5], "add_pressure_to_height": 4, "100": [5, 16, 18, 23, 31, 43, 54, 59, 60, 61, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 140, 170, 203, 205, 230, 231, 232, 248, 257, 258, 260, 264, 265, 266, 271, 272, 274, 276, 277, 278, 280, 281, 287, 293, 295, 299, 300, 301, 305, 308, 309], "96117548": 5, "kilomet": [5, 162, 237, 241, 259, 260, 299, 305], "add_height_to_pressur": 5, "scalar": [6, 16, 17, 18, 19, 21, 31, 40, 41, 46, 55, 59, 61, 62, 63, 64, 71, 72, 101, 102, 103, 104, 105, 109, 112, 116, 117, 130, 131, 186, 187, 189, 216, 231, 241, 301, 303, 305], "w": [6, 10, 24, 37, 55, 66, 67, 88, 107, 118, 125, 126, 127, 128, 129, 138, 160, 162, 170, 186, 195, 196, 225, 272, 282, 290, 295, 296, 303, 305], "dz": [6, 13, 14, 109, 125, 126, 303], "vertical_dim": [6, 13, 14, 15, 23, 29, 47, 52, 54, 60, 80, 108, 113, 120, 124, 303], "3": [6, 9, 10, 11, 12, 13, 14, 15, 18, 19, 23, 24, 27, 30, 31, 36, 39, 48, 49, 54, 59, 60, 62, 63, 64, 69, 71, 72, 75, 76, 80, 86, 96, 98, 108, 116, 117, 120, 124, 136, 137, 138, 142, 144, 146, 148, 149, 150, 160, 162, 163, 166, 167, 175, 177, 179, 180, 186, 187, 190, 194, 203, 204, 211, 212, 222, 225, 226, 230, 231, 232, 235, 237, 240, 241, 242, 245, 247, 248, 249, 251, 257, 259, 261, 262, 263, 264, 265, 266, 267, 270, 271, 272, 274, 275, 277, 278, 280, 281, 282, 283, 284, 286, 287, 289, 290, 291, 294, 295, 296, 299, 300, 301, 303, 305, 307, 309], "field": [6, 7, 22, 38, 40, 41, 42, 46, 74, 101, 103, 104, 105, 114, 140, 147, 161, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 196, 229, 273, 276, 279, 283, 287, 290, 291, 295, 296, 305, 309], "1d": [6, 16, 17, 18, 19, 21, 29, 31, 43, 44, 57, 59, 61, 62, 63, 64, 68, 71, 72, 75, 76, 77, 82, 109, 112, 116, 117, 131, 175, 177, 222, 232, 301], "2d": [6, 12, 28, 38, 40, 41, 57, 102, 123, 137, 146, 170, 171, 187, 188, 189, 222, 232, 301], "3d": [6, 145], "requir": [6, 11, 17, 65, 80, 136, 170, 171, 175, 177, 179, 187, 188, 189, 190, 196, 222, 226, 228, 229, 231, 271, 272, 296, 301, 303, 305, 309], "comput": [6, 23, 31, 37, 39, 40, 41, 45, 49, 55, 60, 70, 75, 76, 98, 109, 116, 117, 118, 120, 123, 124, 132, 134, 135, 145, 222, 225, 231, 235, 237, 245, 248, 251, 281, 299, 305, 308, 309], "z_dim": 6, "infer": 6, "But": [6, 299], "need": [6, 17, 19, 61, 109, 131, 136, 144, 146, 148, 149, 170, 171, 175, 177, 178, 179, 180, 185, 186, 187, 188, 189, 190, 195, 226, 228, 229, 231, 243, 248, 257, 259, 264, 275, 283, 296, 299, 301, 302, 303, 305, 306, 309, 310], "each": [6, 20, 37, 46, 52, 53, 55, 56, 61, 104, 105, 118, 131, 137, 140, 142, 144, 146, 147, 149, 150, 152, 157, 158, 159, 161, 164, 168, 170, 171, 178, 185, 188, 211, 212, 226, 228, 241, 249, 264, 265, 272, 275, 282, 286, 291, 293, 295, 305, 309], "have": [6, 52, 53, 65, 86, 105, 119, 140, 144, 147, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 225, 226, 228, 229, 241, 265, 267, 271, 275, 277, 282, 283, 286, 295, 296, 299, 301, 302, 303, 305, 309, 310], "addition": [6, 180, 184, 257, 296, 309], "doe": [6, 58, 184, 187, 196, 208, 222, 226, 296, 299, 301, 305, 309], "z": [6, 8, 30, 37, 39, 47, 49, 50, 69, 70, 80, 83, 118, 144, 153, 154, 155, 231, 235, 245, 264, 265, 304], "specifi": [6, 16, 19, 29, 35, 36, 43, 44, 46, 53, 56, 57, 61, 72, 75, 76, 77, 82, 86, 91, 96, 102, 116, 117, 131, 133, 136, 142, 143, 144, 146, 148, 149, 150, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 196, 204, 208, 222, 226, 236, 241, 260, 275, 281, 282, 283, 287, 293, 299, 301, 303, 305], "respect": [6, 22, 37, 62, 84, 85, 113, 125, 126, 133, 178, 180, 196, 206, 222, 226, 260, 265, 275, 282, 301, 305], "thei": [6, 9, 34, 43, 44, 62, 64, 65, 119, 130, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 222, 226, 241, 265, 299, 301, 302, 305, 309], "when": [6, 9, 15, 16, 17, 18, 19, 21, 31, 43, 44, 52, 59, 61, 62, 63, 64, 71, 72, 75, 76, 80, 98, 100, 102, 109, 111, 112, 116, 117, 131, 142, 167, 168, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 222, 226, 227, 295, 299, 300, 301, 303, 305, 310], "b": [6, 9, 35, 55, 73, 225, 226, 232, 259, 264, 265, 276, 299], "both": [6, 13, 14, 15, 32, 36, 46, 51, 56, 80, 92, 96, 113, 140, 147, 156, 159, 161, 193, 196, 222, 226, 238, 260, 267, 286, 301], "contain": [6, 43, 44, 46, 137, 144, 162, 164, 166, 169, 170, 171, 175, 177, 179, 180, 184, 186, 187, 188, 189, 190, 196, 207, 208, 216, 219, 228, 263, 265, 283, 286, 287, 289, 294, 296, 305, 309], "all": [6, 8, 19, 31, 35, 46, 53, 56, 59, 76, 77, 102, 105, 121, 142, 150, 153, 154, 155, 160, 162, 163, 164, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 196, 208, 216, 222, 223, 226, 228, 229, 230, 231, 237, 240, 242, 243, 247, 248, 249, 251, 263, 264, 265, 267, 270, 274, 275, 276, 278, 280, 281, 282, 283, 284, 286, 295, 296, 297, 299, 300, 301, 302, 305, 309, 310], "point": [6, 18, 20, 27, 36, 43, 44, 46, 56, 57, 58, 62, 63, 64, 71, 73, 76, 77, 86, 96, 98, 101, 102, 103, 104, 105, 112, 121, 137, 140, 141, 142, 144, 146, 147, 148, 149, 150, 151, 152, 153, 155, 162, 166, 167, 170, 171, 172, 173, 174, 175, 176, 177, 179, 180, 181, 182, 183, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 223, 225, 226, 228, 229, 241, 247, 257, 259, 263, 264, 265, 268, 269, 270, 271, 275, 276, 277, 282, 283, 286, 293, 296, 299, 301, 303, 305, 309], "implement": [6, 8, 9, 12, 19, 20, 24, 28, 32, 38, 48, 50, 58, 65, 68, 83, 92, 93, 122, 127, 128, 129, 130, 145, 148, 149, 192, 225, 300, 305], "mathbf": 6, "cdot": [6, 28, 51, 85, 109], "nabla": [6, 28, 38, 51], "frac": [6, 8, 9, 13, 14, 15, 24, 25, 28, 32, 33, 38, 39, 47, 49, 50, 51, 61, 65, 67, 68, 80, 81, 82, 83, 85, 87, 88, 89, 90, 92, 93, 94, 95, 100, 107, 108, 111, 116, 117, 121, 122, 125, 126, 127, 128, 129, 130, 131], "partial": [6, 25, 28, 47, 51, 65, 80, 85, 94, 108, 122, 130, 226, 305], "delta": [6, 8, 36, 38, 46, 56, 57, 96, 102, 138, 222, 223, 241, 299, 305], "q": [6, 67, 69, 85, 89, 107, 255, 256, 270, 305], "vector": [6, 17, 21, 22, 28, 40, 41, 46, 74, 85, 109, 114, 121, 123, 130, 133, 166, 167, 170, 171, 178, 186, 188, 189, 222, 229, 231, 248, 255, 256, 270, 296, 300, 305], "ageostroph": [7, 225, 305], "geopotenti": [7, 13, 14, 15, 39, 42, 49, 70, 232, 257, 271, 273, 296, 301, 303, 309, 310], "corioli": [7, 20, 42, 303, 305], "Its": [7, 42, 70, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190], "broadcast": [7, 34, 42], "those": [7, 42, 170, 175, 177, 179, 180, 185, 189, 190, 216, 223, 226, 228, 229, 257, 265, 283, 296, 309, 310], "equival": [7, 32, 42, 72, 92, 193, 206, 225, 255, 256, 270, 299, 305], "A": [7, 11, 21, 35, 42, 48, 55, 61, 84, 91, 131, 136, 138, 140, 141, 144, 145, 146, 147, 160, 168, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 191, 192, 211, 212, 213, 222, 225, 226, 231, 248, 257, 263, 264, 265, 275, 282, 287, 290, 295, 296, 299, 300, 301, 304, 305, 309], "tupl": [7, 22, 35, 40, 41, 42, 46, 56, 85, 121, 123, 133, 161, 170, 171, 172, 173, 174, 175, 176, 177, 179, 180, 181, 182, 183, 184, 187, 188, 190, 193, 195, 196, 197, 198, 199, 200, 201, 202, 208, 211, 212, 222, 259, 296], "f": [7, 9, 36, 38, 40, 41, 42, 46, 51, 56, 80, 81, 84, 96, 157, 158, 159, 195, 196, 208, 222, 223, 228, 230, 231, 243, 248, 257, 259, 260, 264, 265, 266, 267, 271, 272, 276, 283, 293, 295, 296, 299, 305, 309, 310], "altimeter_valu": [8, 9], "temperatur": [8, 9, 11, 13, 14, 15, 18, 19, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 38, 47, 48, 52, 53, 54, 55, 58, 59, 60, 62, 63, 64, 66, 68, 69, 70, 71, 72, 75, 76, 77, 79, 80, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 95, 98, 106, 108, 112, 113, 115, 116, 117, 120, 124, 125, 126, 127, 128, 129, 132, 136, 138, 145, 166, 167, 186, 193, 214, 222, 225, 226, 230, 231, 232, 233, 235, 237, 238, 241, 242, 243, 245, 248, 249, 251, 255, 256, 257, 267, 270, 271, 272, 273, 274, 275, 278, 280, 281, 282, 283, 287, 291, 293, 296, 300, 301, 303, 305, 309], "convert": [8, 9, 10, 12, 35, 36, 38, 46, 50, 56, 83, 96, 99, 109, 125, 126, 170, 171, 175, 177, 178, 179, 186, 187, 188, 189, 190, 195, 196, 206, 210, 216, 222, 229, 235, 236, 238, 243, 244, 249, 257, 259, 260, 271, 272, 275, 282, 283, 296, 301, 305], "altimet": [8, 9, 166, 167, 296, 305], "sea": [8, 9, 39, 49, 133, 144, 153, 160, 166, 167, 203, 268, 269, 270, 272, 275, 282, 295, 296, 305], "function": [8, 9, 13, 15, 16, 17, 18, 19, 21, 25, 29, 30, 31, 33, 35, 37, 43, 44, 45, 46, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 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120, 225, 229, 251, 257, 271, 272, 299, 300, 301, 305], "express": [11, 26, 48, 66, 117, 301, 305], "unitless": [11, 48, 66, 88, 89, 90, 117, 193], "ratio": [11, 19, 24, 25, 26, 48, 58, 65, 66, 67, 87, 88, 89, 90, 93, 107, 116, 117, 122, 125, 126, 127, 128, 129, 138, 193, 230, 231, 251, 255, 256, 264, 265, 270, 274, 280, 300, 305], "rang": [11, 12, 26, 48, 66, 117, 137, 162, 175, 177, 178, 179, 186, 190, 193, 211, 212, 222, 231, 234, 235, 239, 245, 246, 247, 248, 250, 252, 253, 254, 257, 259, 260, 266, 267, 271, 272, 293, 296, 305], "pass": [11, 48, 51, 55, 63, 66, 71, 101, 102, 103, 104, 105, 117, 142, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 192, 193, 195, 196, 216, 218, 226, 247, 271, 299, 305, 309, 310], "percentag": [11, 48, 66, 117, 286], "proper": [11, 34, 48, 66, 117, 162, 228, 299], "attach": [11, 36, 46, 48, 56, 66, 96, 117, 166, 167, 186, 218, 219, 248, 283, 291, 299, 301, 309], "10m": [11, 21, 136, 233, 295], "instead": [11, 25, 34, 39, 46, 49, 52, 53, 75, 76, 94, 136, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 222, 226, 229, 271, 275, 282, 283, 286, 299, 301, 303], "face": [11, 136], "multipl": [11, 101, 103, 104, 105, 136, 142, 150, 163, 166, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 216, 222, 226, 228, 273, 283, 296, 299, 301, 303, 305], "correct": [11, 40, 41, 46, 48, 123, 125, 126, 130, 136, 213, 226, 227, 265, 283, 301, 305, 309], "flag": [11, 48, 136, 226, 228, 305], "whether": [11, 34, 48, 52, 53, 86, 136, 142, 145, 170, 171, 172, 173, 174, 175, 176, 177, 179, 181, 182, 183, 186, 188, 189, 190, 197, 198, 199, 200, 201, 202, 217, 222, 296, 305], "were": [11, 136, 162, 226, 228, 295, 299, 303], "facial": [11, 136], "thu": [11, 102, 136, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195], "mask": [11, 48, 86, 101, 103, 104, 105, 136, 216, 259, 267, 299, 305], "heat_index": [11, 136, 303, 305], "undefin": [11, 136, 185, 301], "For": [11, 36, 37, 55, 96, 102, 118, 160, 170, 171, 175, 177, 179, 180, 186, 187, 188, 189, 190, 213, 222, 226, 227, 228, 229, 232, 243, 257, 264, 265, 270, 272, 296, 299, 301, 303, 305, 306, 307, 309, 310], "50f": [11, 136], "mile": [11, 136, 305], "per": [11, 136, 170, 175, 177, 211, 212, 235, 238, 245, 299, 305], "hour": [11, 136, 162, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 228, 235, 245, 272, 293, 296, 301, 305], "80f": [11, 48], "rh": [11, 18, 23, 26, 31, 48, 54, 59, 60, 62, 63, 64, 66, 71, 72, 75, 76, 84, 87, 88, 89, 90, 98, 117, 120, 251, 257, 271, 272, 299, 303], "windchil": [11, 48, 305], "azimuth": [12, 57, 259, 260, 301, 305], "center_lon": 12, "center_lat": 12, "geod": [12, 57, 303], "polar": [12, 160, 180, 229, 300, 305], "lon": [12, 144, 162, 222, 223, 232, 234, 235, 239, 245, 246, 250, 252, 253, 254, 257, 258, 259, 260, 266, 267, 271, 275, 282, 283, 287, 293, 296, 301, 305, 309], "pole": 12, "origin": [12, 46, 72, 101, 103, 104, 105, 153, 154, 155, 164, 170, 171, 175, 177, 178, 179, 187, 188, 189, 190, 233, 243, 258, 281, 287, 290, 291, 300, 301, 305], "degre": [12, 16, 17, 21, 25, 57, 78, 94, 102, 109, 113, 133, 134, 138, 140, 141, 144, 166, 167, 170, 171, 175, 177, 179, 187, 188, 189, 190, 193, 223, 230, 231, 232, 236, 237, 238, 244, 247, 248, 257, 259, 260, 267, 272, 274, 275, 278, 280, 281, 283, 299, 300, 301, 305, 309], "typic": [12, 28, 130, 157, 230, 231, 274, 278, 280, 296, 300, 301], "decim": [12, 265, 305], "forward": [12, 36, 57, 96, 301, 303, 309], "spheric": [12, 39, 49, 57, 305], "ellipsoid": [12, 57, 301], "credit": 12, "brian": 12, "blaylock": 12, "nexrad": [12, 161, 162, 165, 203, 204, 261, 262, 270, 305, 309], "file": [12, 156, 157, 158, 159, 160, 161, 162, 166, 168, 175, 177, 179, 184, 187, 190, 203, 204, 207, 208, 209, 210, 211, 212, 228, 232, 233, 248, 256, 258, 262, 269, 272, 279, 283, 286, 287, 288, 289, 292, 296, 298, 301, 302, 304, 305, 309], "potential_temperatur": [13, 14, 15, 29, 33, 38, 47, 52, 53, 80, 115, 257, 303, 305], "brunt": [13, 14, 15, 305], "vaisala": [13, 14, 15, 305], "frequenc": [13, 14, 75, 76, 305], "theta": [13, 14, 32, 33, 38, 47, 79, 80, 92, 108, 115, 127, 303, 305], "formula": [13, 14, 18, 20, 23, 24, 25, 32, 38, 39, 48, 49, 50, 51, 54, 60, 66, 67, 70, 79, 80, 81, 82, 83, 85, 88, 89, 92, 94, 100, 107, 108, 111, 115, 120, 121, 124, 127, 128, 129, 131, 136, 225, 305, 309], "off": [13, 14, 116, 117, 192, 226, 247], "75": [13, 14, 18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 117, 120, 162, 194, 203, 205, 225, 231, 232, 235, 245, 259, 266, 271, 277, 284, 286, 289, 293, 295, 296, 301, 303], "77": [13, 14, 67, 295], "hobbs2006": [13, 14, 15, 24, 30, 39, 49, 69, 81, 116, 117, 125, 126, 128, 129, 225], "wrapper": [13, 141, 144, 146, 193, 218, 257, 296], "brunt_vaisala_frequency_squar": [13, 15, 303, 305], "filter": [13, 101, 102, 103, 104, 105, 161, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 305], "neg": [13, 109, 113, 175, 193, 206, 305], "unstabl": [13, 71, 72, 111, 231, 248], "take": [13, 36, 46, 56, 75, 76, 77, 96, 140, 147, 156, 159, 167, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 196, 206, 226, 228, 229, 231, 238, 259, 275, 296, 299, 301, 310], "squar": [13, 14, 48, 102, 175, 177, 203, 205, 296, 305], "root": [13, 226, 228, 305], "potenti": [13, 14, 15, 18, 29, 32, 33, 38, 47, 52, 53, 63, 71, 72, 79, 80, 81, 92, 112, 115, 127, 138, 145, 160, 193, 225, 255, 256, 257, 270, 287, 305], "unless": [13, 14, 15, 16, 29, 36, 57, 61, 96, 131, 301, 305], "case": [13, 14, 15, 36, 92, 96, 134, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 222, 226, 229, 230, 231, 243, 265, 271, 274, 278, 280, 291, 293, 296, 299, 300, 301, 305, 310], "metadata": [13, 14, 15, 140, 147, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 222, 229, 258, 259, 260, 301, 304, 309, 310], "brunt_vaisala_period": [13, 14, 303, 305], "stabil": [14, 85, 108, 255, 256, 270, 305], "brunt_vaisala_frequ": [14, 15, 303, 305], "period": [15, 162, 305], "helper": [15, 178, 229, 301], "oscil": 15, "exercis": 15, "13": [15, 18, 19, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 127, 160, 162, 231, 232, 238, 263, 271, 281, 287, 290, 292, 295, 299, 301], "tau": 15, "pi": [15, 33, 121, 133, 138, 264, 265, 295], "nan": [15, 86, 101, 103, 104, 105, 142, 143, 150, 153, 161, 167, 213, 230, 231, 237, 240, 242, 248, 249, 251, 259, 271, 274, 275, 278, 280, 281, 300], "bottom": [16, 18, 19, 31, 43, 44, 52, 53, 59, 61, 62, 64, 72, 82, 95, 109, 116, 117, 131, 145, 193, 237, 248, 303, 305], "depth": [16, 19, 43, 44, 61, 62, 63, 64, 72, 82, 109, 116, 117, 131, 231, 237, 242, 248, 251, 294, 303, 305, 309], "bulk": [16, 100, 111, 133, 231, 248, 255, 256, 270, 305], "shear": [16, 17, 21, 97, 100, 111, 113, 133, 231, 248, 255, 256, 270, 305], "through": [16, 61, 75, 76, 77, 82, 131, 140, 147, 170, 171, 175, 177, 179, 187, 188, 189, 190, 192, 196, 222, 226, 229, 243, 257, 264, 265, 286, 289, 290, 291, 296, 301, 305, 306, 307], "top": [16, 18, 19, 31, 43, 44, 52, 53, 59, 61, 62, 63, 64, 71, 82, 95, 99, 112, 131, 145, 160, 162, 180, 226, 228, 243, 248, 299, 303, 305], "profil": [16, 17, 18, 19, 21, 29, 31, 43, 44, 52, 59, 60, 61, 62, 63, 64, 68, 71, 72, 75, 76, 77, 82, 108, 109, 112, 116, 117, 131, 162, 230, 231, 248, 281, 300, 301, 305, 309], "sound": [16, 17, 18, 21, 23, 31, 54, 58, 59, 60, 61, 62, 63, 64, 71, 72, 75, 77, 82, 91, 98, 100, 109, 111, 112, 116, 120, 124, 131, 133, 135, 158, 178, 193, 203, 229, 237, 240, 249, 251, 255, 256, 270, 285, 288, 292, 297, 298, 301, 305, 309], "same": [16, 31, 52, 53, 59, 65, 76, 77, 80, 86, 122, 137, 142, 144, 145, 150, 170, 171, 184, 188, 216, 226, 238, 257, 267, 282, 283, 286, 296, 299, 301, 303, 305], "don": [16, 61, 86, 131, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 226, 283, 296, 302, 309], "agl": [16, 61, 109, 131, 178], "highest": [16, 18, 19, 23, 31, 43, 54, 59, 60, 82, 98, 113, 120, 124, 145, 166, 167, 186, 189, 301, 305], "lowest": [16, 18, 19, 23, 31, 43, 54, 59, 60, 82, 98, 113, 120, 124, 145, 237, 243, 248, 301, 305], "u_shr": 16, "v_shr": 16, "wind_compon": [16, 17, 21, 109, 134, 135, 230, 231, 237, 248, 267, 274, 275, 278, 280, 281, 283, 300, 303, 309], "925": [16, 17, 19, 21, 29, 68, 109, 116, 248, 287], "850": [16, 17, 18, 19, 21, 23, 29, 31, 32, 54, 59, 60, 61, 62, 63, 64, 68, 71, 72, 75, 76, 98, 108, 109, 113, 115, 116, 117, 120, 124, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 238, 245, 273, 287, 309], "700": [16, 17, 18, 19, 21, 23, 29, 31, 54, 59, 60, 61, 62, 63, 64, 68, 71, 72, 75, 76, 98, 108, 109, 116, 117, 120, 124, 125, 126, 243, 287, 293, 301, 309], "wdir": [16, 17, 21, 109, 133, 237, 248, 275, 303], "165": [16, 17, 21, 109, 162, 295], "180": [16, 17, 21, 78, 109, 162, 259, 272, 295, 309], "190": [16, 17, 21, 109, 259, 260, 295], "210": [16, 17, 21, 109, 113, 296], "220": [16, 17, 21, 109, 232, 309], "sped": [16, 17, 21, 109, 237, 248, 305], "15": [16, 17, 18, 21, 23, 29, 31, 54, 59, 60, 61, 62, 63, 64, 65, 66, 67, 71, 72, 75, 76, 82, 84, 98, 106, 108, 109, 113, 116, 117, 120, 124, 125, 127, 132, 160, 162, 192, 225, 231, 232, 238, 239, 258, 259, 260, 263, 264, 265, 266, 269, 271, 272, 273, 277, 282, 284, 287, 288, 290, 291, 295, 296, 299, 300, 301, 307, 309], "20": [16, 17, 18, 21, 23, 31, 32, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 82, 92, 93, 95, 98, 100, 108, 109, 111, 113, 116, 117, 120, 124, 132, 150, 162, 231, 232, 248, 259, 260, 263, 265, 266, 267, 271, 272, 274, 275, 280, 281, 282, 283, 286, 291, 293, 295, 296, 299, 300, 301, 307, 309], "30": [16, 17, 18, 21, 23, 31, 54, 59, 60, 61, 62, 63, 64, 71, 72, 75, 76, 88, 89, 90, 98, 100, 108, 109, 116, 117, 120, 124, 129, 162, 193, 225, 228, 231, 234, 235, 239, 243, 245, 246, 250, 252, 253, 254, 259, 263, 264, 265, 275, 277, 280, 281, 286, 289, 290, 295, 298, 300, 301, 309], "50": [16, 17, 18, 21, 23, 26, 31, 52, 53, 54, 58, 59, 60, 62, 63, 64, 71, 72, 75, 76, 95, 98, 108, 109, 111, 116, 117, 120, 124, 162, 225, 231, 234, 235, 239, 245, 246, 248, 250, 252, 253, 254, 257, 266, 267, 271, 274, 275, 278, 281, 282, 283, 286, 287, 289, 295, 301, 303, 309], "knot": [16, 17, 21, 100, 109, 111, 166, 167, 230, 231, 232, 237, 248, 257, 267, 272, 274, 275, 278, 280, 281, 283, 296, 300, 305, 309], "41943319": 16, "11": [16, 19, 39, 49, 75, 160, 162, 232, 233, 238, 257, 259, 286, 287, 292, 293, 295, 299, 301, 309], "6920573": 16, "higher": [16, 17, 18, 19, 21, 29, 31, 43, 44, 52, 53, 57, 59, 61, 62, 63, 64, 68, 71, 72, 75, 76, 77, 80, 82, 86, 109, 112, 116, 117, 131, 140, 144, 145, 146, 147, 175, 282, 283], "even": [16, 17, 18, 19, 21, 31, 43, 44, 52, 59, 61, 62, 63, 64, 71, 72, 75, 76, 109, 112, 116, 117, 131, 142, 144, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 222, 226, 283, 299, 300, 301, 303], "complex": [16, 17, 54, 58, 62, 63, 64, 71, 72, 75, 91, 100, 109, 111, 112, 116, 120, 133, 135, 178, 193, 203, 226, 265, 270, 275, 282, 285, 288, 292, 296, 299, 309], "layout": [16, 17, 54, 58, 62, 63, 64, 71, 72, 75, 91, 100, 109, 111, 112, 116, 120, 133, 135, 178, 180, 193, 195, 196, 203, 270, 274, 285, 288, 290, 291, 292, 295, 296, 309], "mover": 17, "supercel": [17, 21, 100, 111, 225, 231, 248], "storm": [17, 21, 100, 109, 111, 162, 225, 231, 248, 286, 289, 305], "motion": [17, 21, 85, 109, 225, 231, 248, 305], "bunker": [17, 225, 231, 248], "method": [17, 52, 53, 132, 140, 147, 157, 158, 159, 160, 161, 162, 163, 170, 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, 204, 208, 213, 222, 225, 264, 276, 277, 286, 291, 296, 299, 301, 305], "physic": [17, 225, 299, 309], "galilean": 17, "invari": 17, "predict": [17, 225, 276, 289, 301, 305], "well": [17, 53, 102, 161, 175, 178, 226, 228, 229, 230, 237, 238, 240, 242, 247, 249, 251, 263, 267, 271, 276, 282, 283, 295, 296, 299, 301, 305, 307, 309], "properli": [17, 218, 226, 271, 301, 303], "flow": [17, 234, 235, 239, 245, 246, 250, 252, 253, 254], "summari": [17, 157, 158, 159, 160, 161, 162, 163, 170, 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, 208, 296, 301, 309], "bunkers2000": [17, 225], "non": [17, 32, 40, 41, 86, 92, 99, 123, 130, 146, 220, 225, 228, 299, 305], "weight": [17, 24, 61, 62, 65, 102, 105, 116, 127, 128, 129, 131, 138, 148, 149, 231, 255, 256, 264, 270, 305], "deviat": [17, 102, 226, 305], "sfc": [17, 18, 99], "7": [17, 18, 19, 21, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 81, 85, 98, 108, 109, 116, 117, 120, 124, 125, 126, 133, 138, 160, 162, 171, 226, 230, 231, 235, 237, 240, 242, 245, 247, 248, 249, 251, 257, 259, 264, 265, 266, 271, 274, 276, 278, 280, 281, 283, 286, 287, 293, 295, 296, 300, 301, 309], "head": [17, 226, 305], "tail": [17, 300], "right_mov": 17, "left_mov": 17, "wind_mean": 17, "400": [17, 18, 21, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 109, 116, 117, 120, 124, 281, 287, 295], "250": [17, 18, 21, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 109, 113, 116, 117, 120, 124, 230, 231, 248, 257, 271, 272, 287, 295, 301], "1500": [17, 21, 100, 109], "3100": [17, 21, 109], "5720": [17, 21, 109], "7120": [17, 21, 109], "60": [17, 18, 21, 23, 31, 50, 54, 59, 60, 62, 63, 64, 68, 71, 72, 75, 76, 83, 98, 108, 109, 116, 117, 120, 124, 162, 230, 231, 248, 257, 259, 264, 265, 271, 274, 280, 286, 295, 296, 299, 300, 309], "22": [17, 18, 23, 25, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 78, 98, 117, 120, 124, 162, 225, 248, 263, 264, 272, 281, 295, 301, 309], "09618172": 17, "12": [17, 19, 29, 67, 75, 84, 87, 100, 128, 160, 161, 162, 191, 225, 231, 247, 248, 257, 258, 259, 263, 265, 267, 271, 272, 275, 277, 281, 282, 283, 284, 286, 287, 289, 290, 291, 293, 295, 296, 298, 301, 305], "43406736": 17, "02861839": 17, "36": [17, 18, 23, 31, 54, 59, 60, 62, 64, 71, 72, 75, 76, 98, 117, 120, 162, 265, 281, 286, 295, 301, 309], "76517865": 17, "14": [17, 18, 23, 31, 54, 59, 60, 62, 63, 64, 67, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 160, 162, 225, 233, 257, 287, 291, 293, 295, 301, 309], "06240005": 17, "24": [17, 19, 24, 116, 117, 150, 162, 231, 232, 241, 245, 257, 263, 265, 272, 286, 295, 301, 305], "599623": 17, "dewpoint": [18, 19, 23, 26, 27, 31, 32, 54, 58, 59, 60, 62, 63, 64, 71, 72, 75, 76, 77, 82, 87, 94, 98, 106, 112, 113, 120, 122, 129, 132, 186, 193, 230, 231, 237, 240, 242, 243, 248, 249, 251, 255, 256, 266, 270, 272, 274, 275, 278, 280, 281, 283, 291, 299, 300, 301, 303, 305, 309], "parcel_profil": [18, 29, 31, 58, 59, 60, 63, 68, 71, 76, 77, 112, 230, 231, 248, 300, 303, 309], "which_lfc": 18, "which_el": 18, "cape": [18, 31, 59, 63, 71, 100, 111, 112, 160, 193, 229, 230, 231, 248, 295, 300, 301, 305, 308], "cin": [18, 63, 71, 112, 193, 230, 231, 248, 300, 301, 305], "convect": [18, 19, 59, 63, 71, 112, 160, 180, 184, 185, 193, 248, 270, 285, 288, 305], "avail": [18, 32, 63, 71, 92, 112, 137, 141, 144, 146, 162, 164, 175, 177, 179, 186, 187, 190, 193, 223, 225, 226, 228, 229, 284, 291, 294, 296, 299, 301, 305, 307, 309, 310], "energi": [18, 30, 63, 69, 71, 112, 118, 193, 305], "inhibit": [18, 63, 71, 112, 160, 193, 305], "upper": [18, 43, 44, 58, 63, 71, 75, 112, 133, 178, 180, 184, 186, 193, 230, 231, 232, 233, 237, 240, 242, 248, 249, 251, 258, 270, 272, 274, 275, 278, 280, 281, 282, 285, 288, 296, 297, 298, 305, 309], "parcel": [18, 24, 29, 30, 31, 32, 58, 59, 60, 63, 64, 68, 69, 71, 72, 75, 76, 77, 92, 98, 112, 127, 128, 129, 132, 193, 230, 231, 243, 248, 281, 300, 305, 309], "path": [18, 31, 59, 63, 71, 121, 141, 172, 173, 174, 176, 181, 182, 183, 191, 192, 193, 194, 197, 198, 199, 200, 201, 202, 208, 226, 231, 257, 276, 277, 300, 301], "integr": [18, 62, 63, 68, 71, 112, 162, 226, 228, 258, 301, 305], "lfc": [18, 19, 31, 63, 71, 112, 248, 303, 305], "el": [18, 19, 59, 63, 71, 112, 193, 248, 295, 303, 305], 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75, 76, 79, 92, 98, 108, 116, 117, 120, 124, 287], "750": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 100, 108, 116, 117, 120, 124, 287], "650": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 287], "600": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 193, 287], "550": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 287], "450": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 99, 108, 116, 117, 120, 124, 257, 287], "350": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 225, 263, 269, 281, 287], "300": [18, 23, 31, 54, 59, 60, 62, 63, 64, 68, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 162, 232, 240, 259, 282, 287, 295, 296, 298, 301], "200": [18, 23, 31, 54, 59, 60, 62, 63, 64, 68, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 245, 281, 287, 301], "175": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 98, 108, 116, 117, 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278, 280, 281, 295, 300, 305, 309], "comptur": [18, 248], "prof": [18, 31, 60, 230, 231, 248, 309], "4703": [18, 71], "77306": [18, 71], "joul": [18, 63, 71, 248, 299, 301], "kilogram": [18, 24, 30, 63, 65, 66, 67, 69, 71, 93, 106, 107, 238, 248, 299, 301], "adopt": [18, 226, 229], "hobbs1977": [18, 20, 50, 65, 66, 83, 88, 89, 93, 122, 225], "r_d": [18, 68, 95, 116, 117, 138], "int_": [18, 61, 116, 117, 131], "_": [18, 100, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 231, 248, 267], "env": [18, 226, 301], "free": [18, 59, 226, 305], "equilibrium": [18, 31, 193, 305], "begin": [18, 64, 178, 185, 226, 229, 243, 271, 300, 305], "gravit": [18, 39, 49, 70, 138], "acceler": [18, 70, 138], "virtual": [18, 24, 95, 116, 117, 125, 126, 127, 128, 129, 305], "environ": [18, 21, 100, 111, 193, 305, 307], "dewpt": [18, 31, 58, 59, 64, 75, 76, 82, 87, 303], "mixed_layer_depth": 19, "condens": [19, 58, 100, 193, 230, 300, 305], "directli": [19, 34, 86, 105, 160, 161, 162, 166, 168, 196, 222, 226, 257, 258, 299, 301, 309], "usaf1990": [19, 59, 225], "ambient": [19, 25, 26, 94, 98, 122, 230, 238], "line": [19, 35, 73, 175, 177, 178, 185, 191, 192, 193, 194, 195, 196, 210, 211, 212, 226, 230, 231, 272, 274, 276, 277, 278, 280, 281, 286, 295, 296, 300, 305, 309, 310], "mix": [19, 24, 25, 58, 62, 63, 64, 65, 66, 67, 88, 89, 93, 107, 116, 122, 125, 126, 127, 128, 129, 193, 231, 248, 251, 255, 256, 270, 300, 303, 305], "start": [19, 29, 52, 53, 58, 68, 75, 76, 77, 112, 132, 140, 141, 145, 193, 208, 226, 230, 231, 234, 235, 239, 243, 245, 246, 247, 250, 252, 253, 254, 257, 259, 272, 282, 283, 294, 296, 305, 306], "averag": [19, 39, 49, 62, 102, 131, 144, 146, 162, 170, 259, 264, 299, 305], "shallow": [19, 102, 196, 208], "high": [19, 31, 34, 59, 75, 76, 77, 112, 162, 166, 167, 230, 231, 247, 276, 289, 305], "low": [19, 31, 34, 59, 75, 76, 77, 102, 112, 113, 166, 167, 230, 231, 247, 276, 277, 305], "thick": [19, 43, 44, 62, 64, 66, 87, 116, 117, 175, 231, 248, 255, 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184, 230, 231, 232, 233, 234, 235, 236, 239, 240, 244, 245, 246, 247, 250, 252, 253, 254, 257, 258, 259, 260, 263, 264, 265, 266, 267, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 286, 287, 289, 290, 291, 293, 295, 296, 299, 300, 305, 306, 309], "significantli": 21, "tornad": [21, 225], "tend": [21, 229], "occur": [21, 59, 305], "0942521": 21, "data_x": [22, 74, 114], "data_i": [22, 74, 114], "component_tangenti": [22, 114], "component_norm": [22, 74], "tangential_compon": [22, 74, 305], "normal_compon": [22, 114, 305], "analysi": [22, 53, 70, 79, 80, 89, 140, 180, 184, 186, 203, 204, 225, 264, 267, 270, 276, 285, 287, 288, 292, 296, 300, 301, 304, 305, 309], "total": [23, 24, 27, 32, 33, 38, 65, 66, 79, 84, 86, 88, 89, 90, 92, 93, 109, 113, 115, 119, 120, 122, 124, 125, 126, 127, 129, 138, 162, 225, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 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261, 262, 270, 305], "vapor": [24, 25, 65, 84, 87, 90, 93, 94, 116, 122, 127, 128, 129, 138, 203, 204, 238, 261, 262, 270, 305], "epsilon": [24, 65, 68, 93, 116, 122, 127, 128, 129, 138], "approx0": [24, 65, 116, 127, 128, 129], "622": [24, 65, 116, 127, 128, 129], "kg": [24, 27, 65, 66, 67, 69, 93, 100, 106, 107, 111, 122, 127, 128, 138, 231, 238, 245, 248, 271, 281, 287, 299, 305], "21307146": 24, "rho": [24, 125, 126, 259], "r_dt": 24, "vapor_pressur": [25, 65, 94, 238, 303, 305], "0291018": 25, "saturation_vapor_pressur": [25, 26, 84, 87, 90, 122, 305], "invert": [25, 50, 230, 231], "bolton1980": [25, 32, 92, 94, 225], "satur": [25, 29, 59, 66, 68, 84, 87, 88, 89, 90, 92, 93, 94, 193, 225, 243, 305], "yield": [25, 62, 243, 296, 301, 305], "celsiu": [25, 94, 166, 167, 243, 278, 293, 296, 299, 305], "243": [25, 94], "log": [25, 52, 53, 143, 150, 193, 225, 230, 231, 264, 274, 278, 280, 300, 305, 309], "112": [25, 94, 295], "percent": [26, 84, 87, 88, 89, 90, 160, 265, 271, 299, 303, 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185, 193, 196, 208, 216, 226, 229, 230, 231, 243, 259, 275, 282, 283, 299, 300, 301, 305, 310], "element": [29, 68, 80, 170, 171, 180, 187, 188, 195, 226, 231, 275, 282, 283, 296, 305], "plev": [29, 68, 293], "65249458": 29, "92593808": 29, "91786723": 29, "moist_laps": [29, 75, 76, 77, 132, 193, 243, 303, 305], "liquid": [29, 68, 138, 162, 305], "complet": [29, 64, 68, 184, 226, 228, 229, 282, 283, 286, 290, 291, 296, 299], "reliabl": [29, 68], "ref_pressur": [29, 68, 303], "mountain": [29, 58, 68, 255, 256, 270, 305], "problem": [29, 58, 68, 226, 229, 255, 256, 270, 300, 301, 302], "static": [30, 54, 69, 85, 108, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 226, 229, 255, 256, 270, 272, 305], "two": [30, 35, 55, 57, 73, 80, 101, 102, 103, 119, 120, 121, 141, 164, 170, 171, 175, 177, 179, 180, 187, 188, 190, 193, 197, 198, 199, 225, 226, 229, 231, 264, 265, 286, 299, 301, 305, 307, 309], "292": [30, 257, 271, 272, 287, 301], "268557": 30, "kilojoul": [30, 69], "montgomery_streamfunct": [30, 271, 305], "c_": [30, 68, 69, 109, 138], "pd": [30, 68, 69, 138, 230, 231, 237, 240, 242, 248, 249, 251, 267, 274, 275, 278, 280, 281, 283, 290, 291, 300, 305], "gz": [30, 69, 70, 160, 161, 259, 309], "parcel_temperature_profil": [31, 59, 303], "last": [31, 52, 101, 102, 103, 196, 208, 228, 230, 231, 305, 307, 310], "ideal": [31, 59, 226, 271, 283, 305], "environment": [31, 225, 271, 301], "fewer": [31, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190], "whose": [31, 59, 61, 102, 131, 170, 171, 175, 177, 179, 180, 185, 186, 187, 188, 189, 190, 305], "farthest": [31, 59], "awai": [31, 59, 263, 267], "111": [31, 271, 293, 295], "739463": 31, "3112792": 31, "l": [32, 92, 121, 225, 231, 276, 277, 295], "theta_": [32, 92, 240], "dl": [32, 92, 295], "28r": [32, 92], "final": [32, 92, 216, 226, 228, 241, 243, 267, 286, 296, 299, 301], "3036": [32, 92], "r": [32, 50, 65, 82, 83, 85, 92, 116, 122, 148, 149, 160, 162, 225, 230, 231, 232, 245, 259, 264, 265, 271, 272, 274, 278, 280, 281, 300, 304, 305, 309], "448r": [32, 92], "353": 32, "937994": 32, "kelvin": [32, 61, 79, 92, 115, 116, 127, 128, 193, 235, 240, 241, 242, 245, 249, 271, 299, 301, 305], "accord": [32, 92, 100, 222], "daviesjones2009": [32, 92, 225], "accur": [32, 92, 225], "iter": [32, 52, 53, 58, 92, 132, 163, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 265], "formul": [32, 34, 36, 53, 92, 96, 225], "exner": 33, "p_0": [33, 50, 79, 83, 115, 138], "kappa": [33, 79, 115, 138, 148, 149, 264], "visa": [33, 301], "versa": [33, 301], "against": [33, 226, 228, 229, 305], "p0": [33, 138], "temperature_from_potential_temperatur": [33, 303], "arr": [34, 216], "from_below": 34, "surround": 34, "within": [34, 72, 102, 108, 148, 149, 175, 177, 179, 180, 186, 187, 190, 222, 226, 228, 229, 263, 264, 265, 286, 294, 295, 305, 307, 309], "good": [34, 214, 226, 230, 231, 274, 280, 300, 309], "list": [34, 52, 61, 91, 131, 141, 142, 147, 153, 154, 155, 157, 158, 159, 161, 162, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 196, 206, 208, 211, 212, 224, 225, 226, 228, 229, 257, 263, 264, 265, 266, 267, 271, 272, 275, 281, 293, 295, 296, 302, 304, 305, 309, 310], "These": [34, 136, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 222, 229, 265, 300, 301, 303, 305, 307, 310], "numpi": [34, 75, 76, 86, 99, 105, 121, 141, 144, 145, 148, 149, 151, 152, 175, 177, 213, 216, 218, 228, 229, 231, 232, 241, 243, 247, 248, 257, 259, 260, 263, 264, 265, 266, 267, 271, 272, 277, 278, 281, 283, 299, 301, 305, 307, 309], "get": [34, 102, 159, 160, 163, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 226, 236, 257, 259, 267, 271, 275, 278, 283, 290, 291, 294, 295, 306, 310], "expect": [34, 80, 226, 243, 276, 283, 299, 303, 305], "extra": [34, 192, 231, 283], "slice": [34, 140, 147, 257, 296], "ellipsi": 34, "necessari": [34, 167, 180, 193, 195, 226, 228, 229, 265, 276, 299], "boolean": [34, 86, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 305], "column": [34, 157, 158, 159, 164, 166, 167, 168, 180, 185, 219, 237, 240, 242, 249, 251, 283, 286, 287, 289, 305], "actual": [34, 57, 94, 102, 195, 196, 223, 228, 231, 275, 282, 283, 296, 299, 301], "had": [34, 226, 296, 303], "bound": [34, 142, 150, 178, 271, 274, 275, 280, 282, 283, 293, 305], "desir": [34, 52, 53, 58, 80, 86, 142, 145, 150, 170, 171, 175, 177, 179, 180, 186, 187, 188, 189, 190, 218, 243, 271, 293, 295, 296, 299, 301, 305], "search": [34, 52, 53, 144, 145, 146, 168, 226, 265, 294, 302, 303, 305], "One": [34, 52, 53, 137, 159, 162, 229, 296, 301, 303, 309], "more": [34, 37, 55, 86, 101, 102, 103, 104, 105, 118, 119, 144, 146, 180, 186, 187, 228, 229, 230, 231, 270, 271, 275, 282, 295, 296, 299, 300, 301, 303, 305, 306, 309, 310], "proce": [34, 301], "log_x": 35, "best": [35, 175, 177, 179, 187, 190, 206, 229, 299, 301, 309, 310], "estim": [35, 145, 229, 231, 248, 265, 305], "share": [35, 301, 302], "common": [35, 73, 145, 170, 171, 186, 187, 188, 189, 226, 229, 243, 248, 287, 290, 291, 296, 297, 301, 303, 309], "increas": [35, 80, 102, 137, 178, 204, 226, 231], "decreas": [35, 102], "implicitli": 35, "regularli": [36, 46, 56, 96], "vari": [36, 46, 52, 53, 56, 96, 102, 305], "inform": [36, 37, 46, 55, 56, 96, 118, 130, 144, 146, 156, 157, 158, 159, 161, 162, 163, 164, 167, 211, 212, 222, 226, 227, 228, 229, 258, 259, 260, 263, 264, 265, 267, 271, 277, 286, 294, 295, 299, 301, 303, 305, 306, 309, 310], "neither": [36, 46, 56, 96], "nor": [36, 46, 56, 96], "belong": [36, 46, 56, 96, 222], "backward": [36, 96, 227, 301], "edg": [36, 96, 101, 103, 104, 105, 160, 180, 185, 259, 265, 305], "center": [36, 91, 96, 148, 149, 168, 180, 186, 195, 196, 225, 231, 265, 271, 272, 275, 276, 277, 282, 286, 287, 289, 293, 296, 305], "elsewher": [36, 96], "irregular": [36, 96, 293], "handl": [36, 96, 142, 150, 160, 161, 162, 170, 171, 175, 177, 179, 180, 187, 188, 189, 190, 193, 220, 222, 226, 228, 236, 244, 258, 259, 270, 276, 283, 292, 296, 299, 301, 303, 309], "explicitli": [36, 96, 303, 305], "bowen2005": [36, 96, 225], "ndarrai": [36, 96, 99, 105, 121, 141, 144, 145, 146, 148, 149, 151, 152, 213, 216, 299], "integ": [36, 46, 56, 96, 102, 166, 167, 170, 171, 175, 177, 179, 180, 185, 186, 187, 188, 190, 222, 263, 283, 296, 299, 305], "string": [36, 40, 41, 46, 56, 96, 123, 157, 158, 159, 162, 164, 167, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 188, 190, 193, 195, 196, 204, 206, 211, 212, 213, 222, 226, 228, 236, 244, 259, 272, 275, 283, 295, 296, 299, 301, 305], "name": [36, 46, 53, 56, 96, 138, 156, 157, 160, 161, 162, 164, 166, 168, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 211, 212, 219, 222, 226, 228, 229, 230, 231, 237, 240, 242, 248, 249, 251, 259, 260, 267, 271, 272, 274, 278, 280, 281, 283, 286, 287, 295, 296, 299, 300, 301, 305], "type": [36, 46, 56, 57, 91, 96, 144, 146, 160, 161, 162, 170, 171, 175, 177, 178, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 195, 214, 222, 223, 229, 259, 276, 283, 296, 301, 305, 309], "implicit": [36, 46, 56, 96], "convers": [36, 46, 56, 96, 193, 195, 196, 216, 226, 231, 232, 271, 275, 283, 299, 301, 309], "select": [36, 86, 96, 157, 158, 159, 162, 170, 171, 175, 177, 179, 186, 187, 188, 189, 190, 230, 231, 283, 286, 295, 296, 301, 305], "kwarg": [36, 46, 52, 56, 57, 63, 71, 90, 96, 134, 157, 158, 159, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 192, 193, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 208, 218, 222, 303], "second_deriv": [36, 56, 303], "perturb": [37, 45, 55, 118], "friction": 37, "veloc": [37, 55, 118, 125, 126, 138, 162, 301], "seri": [37, 45, 55, 118, 178, 226, 272, 300, 305], "suppli": [37, 105, 118, 222, 301, 305, 309], "remov": [37, 55, 118, 153, 154, 155, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 226, 231, 267, 271, 286, 290, 296], "kinematic_flux": 37, "kinemat": [37, 38, 55, 225, 231, 272, 301], "flux": [37, 47, 55, 229, 305], "u_": [37, 109], "sqrt": [37, 118, 121, 247, 264, 305], "overlin": [37, 45, 55, 95, 118], "prime": [37, 45, 55, 118, 301], "math": [37, 231, 299], "reduc": [37, 86, 92, 137, 170, 171, 186, 188, 229, 271, 275, 282, 296, 299, 305], "subject": [37, 55, 118, 160, 229], "pleas": [37, 55, 118, 226, 270, 286, 302, 303, 304, 305, 309], "see": [37, 47, 48, 55, 118, 137, 140, 144, 146, 147, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 195, 196, 214, 222, 226, 228, 235, 265, 290, 296, 299, 301, 303, 305, 306, 309, 310], "garratt1994": [37, 55, 118, 225], "form": [38, 51, 53, 85, 167, 170, 171, 188, 265, 302], "petterssen": 38, "bluestein1993": [38, 80, 225], "248": 38, "253": [38, 271, 301], "co": [38, 180, 225, 264, 265, 295, 305], "beta": [38, 85], "deform": [38, 97, 110, 119, 239, 254, 255, 256, 270, 305], "dilat": 38, "isentrop": [38, 52, 53, 70, 80, 89, 203, 204, 225, 229, 270, 292, 305], "diverg": [38, 130, 229, 255, 256, 270, 303, 305], "To": [38, 51, 52, 75, 76, 116, 175, 177, 179, 187, 190, 222, 226, 228, 243, 271, 296, 299, 300, 301, 305, 309], "100km": [38, 266], "3h": 38, "multipli": [38, 136, 170, 171, 175, 177, 179, 187, 188, 189, 190, 195, 265, 296, 299, 305], "08e9": 38, "thta": [38, 303, 305], "69": [39, 49, 70, 295, 309], "eq": [39, 49, 295, 305], "approxim": [39, 49, 91, 102, 225, 238], "variat": [39, 49, 226, 229, 305], "graviti": [39, 49, 138, 305], "phi": [39, 49, 162, 259], "r_e": [39, 49, 138], "gr_e": 39, "earth": [39, 49, 70, 170, 171, 188], "radiu": [39, 49, 86, 101, 138, 144, 146, 148, 149, 247, 264, 265, 282, 305], "geopot": [39, 49, 303], "9805": [39, 49], "19607": [39, 49], "29406": [39, 49], "999": [39, 286], "98867965": 39, "1999": [39, 225, 231], "98521653": 39, "2999": 39, "98947022": 39, "height_to_geopotenti": 39, "therebi": [39, 49], "account": [39, 49, 95, 226, 305], "effect": [39, 49, 102, 111, 137, 172, 173, 174, 176, 181, 182, 183, 191, 192, 194, 197, 198, 199, 200, 201, 202, 231, 248, 276, 277, 305], "centrifug": [39, 49], "neglect": [39, 49], "latitudin": [39, 49], "due": [39, 49, 229, 243, 265, 296], "eccentr": [39, 49, 138], "prior": [39, 49, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 305], "v0": [39, 49, 228, 301], "newton": [39, 49], "law": [39, 49], "return_onli": [40, 41, 123], "gradient": [40, 41, 47, 56, 70, 80, 255, 256, 270, 271, 303, 305], "sequenc": [40, 41, 46, 56, 78, 104, 123, 137, 157, 158, 159, 185, 195, 197, 198, 199, 206, 213, 216, 222, 229, 305], "df": [40, 41, 164, 219, 230, 231, 237, 240, 242, 248, 249, 251, 274, 276, 278, 280, 281, 295, 296, 300], "pattern": [40, 41, 123, 165, 226, 231, 247], "your": [40, 41, 57, 123, 130, 170, 171, 175, 177, 179, 187, 188, 189, 190, 222, 231, 278, 295, 296, 299, 301, 302, 303, 304, 306, 307, 309], "pair": [40, 41, 140, 141, 144, 148, 151, 153, 154, 155, 196, 208, 257, 305], "vector_deriv": [40, 41, 46], "geospatial_laplacian": [40, 123], "laplacian": [41, 46, 303, 305], "geospatial_gradi": [41, 46, 123], "arg": [43, 44, 52, 53, 61, 62, 131, 142, 150, 157, 158, 159, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 196, 208, 217, 222, 303], "request": [43, 44, 102, 160, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 206, 222, 228, 229, 290, 301, 309], "subset": [43, 44, 91, 157, 158, 159, 186, 189, 222, 230, 231, 237, 240, 242, 243, 248, 249, 251, 274, 275, 278, 280, 281, 282, 283, 300, 301, 305], "dataset": [43, 44, 52, 53, 75, 76, 77, 133, 140, 147, 157, 158, 159, 170, 171, 175, 177, 179, 187, 188, 189, 190, 193, 203, 222, 223, 229, 230, 231, 232, 234, 235, 239, 245, 246, 250, 252, 253, 254, 257, 258, 270, 271, 274, 278, 280, 283, 285, 287, 288, 293, 296, 300], "variabl": [43, 44, 48, 52, 53, 55, 61, 62, 77, 131, 145, 148, 151, 160, 164, 170, 171, 175, 177, 178, 179, 186, 187, 188, 189, 190, 196, 222, 225, 229, 230, 231, 232, 248, 257, 258, 264, 271, 272, 274, 275, 278, 280, 281, 283, 287, 293, 296, 300, 301, 305, 309], "with_agl": [44, 303], "subtract": [44, 54, 299, 305], "minimum": [44, 86, 144, 146, 148, 149, 228, 296, 305], "you": [45, 80, 170, 171, 175, 177, 179, 187, 188, 189, 190, 222, 226, 228, 231, 236, 277, 282, 283, 290, 291, 294, 295, 296, 299, 301, 302, 303, 306, 307, 309], "wish": [45, 170, 222, 226, 232, 296, 305], "produc": [45, 175, 177, 179, 187, 190, 228, 296, 305], "about": [45, 156, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 229, 296, 299, 300, 301, 303, 305, 306, 308, 309], "ax": [46, 56, 101, 102, 103, 137, 178, 180, 193, 195, 196, 204, 222, 230, 231, 232, 233, 234, 235, 239, 241, 245, 246, 247, 250, 252, 253, 254, 257, 258, 259, 260, 263, 264, 265, 271, 272, 274, 275, 276, 277, 278, 280, 281, 282, 283, 293, 295, 300, 301, 303, 305, 309], "length": [46, 56, 102, 141, 170, 171, 178, 180, 185, 186, 191, 192, 225, 226, 234, 235, 239, 246, 250, 252, 253, 254, 257, 267, 271, 287, 296, 299, 300, 301, 305], "In": [46, 56, 102, 134, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 208, 226, 228, 229, 271, 283, 290, 291, 293, 296, 299, 300, 301, 302, 303, 305, 307, 309, 310], "gener": [46, 56, 144, 146, 148, 149, 151, 152, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 193, 208, 209, 222, 225, 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, 257, 258, 259, 260, 263, 264, 265, 266, 267, 268, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 289, 290, 291, 293, 294, 295, 296, 297, 299, 300, 301, 303, 304, 305, 307, 309], "There": [46, 56, 65, 96, 180, 226, 228, 286, 296, 299, 301, 302, 309], "first_deriv": [46, 96, 123, 303, 305], "give": [46, 195, 222, 226, 228, 230, 231, 271, 274, 276, 280, 289, 299, 300, 305], "richardson": [47, 225, 229, 305], "ri": [47, 295], "holton2004": [47, 131, 225], "121": [47, 225, 277, 288, 301], "122": [47, 271, 295], "turbul": [47, 118, 162, 305], "rothfusz1990": [48, 225], "multi": [48, 80, 305, 309], "least": [48, 55, 57, 80, 86, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 226, 296, 301, 305], "regress": 48, "steadman1979": [48, 225], "addit": [48, 52, 53, 63, 71, 193, 195, 196, 228, 229, 271, 299, 301, 305, 309], "what": [48, 144, 146, 148, 149, 170, 171, 188, 228, 229, 231, 232, 265, 286, 296, 309, 310], "nation": [48, 160, 225, 229, 257, 271, 286, 287, 301, 305], "weather": [48, 113, 166, 167, 213, 225, 229, 231, 248, 257, 266, 271, 275, 276, 282, 283, 287, 290, 294, 300, 301, 305], "servic": [48, 225, 226, 228, 229, 257, 287, 300, 301, 305, 309], "operation": [48, 231], "figur": [48, 180, 184, 193, 203, 205, 229, 230, 231, 232, 233, 234, 235, 239, 240, 245, 246, 250, 252, 253, 254, 257, 258, 259, 260, 266, 267, 271, 272, 274, 276, 278, 280, 281, 282, 283, 284, 290, 291, 293, 295, 296, 300, 309], "anderson2013": [48, 225], "depict": 48, "algorithm": [48, 58, 170, 248, 264, 265, 305], "further": [48, 101, 103, 104, 105, 180, 275, 282, 300], "discuss": [48, 227, 229, 299, 301, 302, 309], "apparent_temperatur": [48, 136, 303], "np": [49, 82, 86, 99, 115, 142, 150, 231, 232, 241, 243, 247, 248, 257, 259, 260, 263, 264, 265, 266, 267, 271, 272, 277, 278, 281, 295, 299, 301, 305, 309], "linspac": [49, 99, 231, 243, 260, 264, 265, 277, 309], "10000": [49, 296, 301], "num": 49, "11097983": 49, "1448853": 49, "10316465": 49, "39201": 49, "98726524": 49, "48994": 49, "79863351": 49, "58784": 49, "53871501": 49, "68571": 49, "20895435": 49, "78354": 49, "81079527": 49, "88135": 49, "34568058": 49, "97912": 49, "81505219": 49, "second": [49, 96, 102, 108, 109, 113, 125, 126, 133, 185, 222, 226, 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, 257, 258, 259, 260, 263, 264, 265, 266, 267, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 287, 289, 290, 291, 293, 295, 296, 299, 300, 301, 303, 305, 309], "geopotential_to_height": [49, 303], "u_geostroph": [51, 303], "v_geostroph": [51, 303], "inerti": [51, 305], "advect": [51, 245, 255, 256, 270, 303, 305], "hat": 51, "v_g": [51, 301], "u_g": [51, 301], "j": [51, 100, 111, 138, 225, 231, 247, 248, 295, 299, 304, 305], "rochette2006": [51, 225], "mani": [51, 65, 93, 122, 187, 226, 229, 248, 263, 275, 282, 283, 300, 301, 302, 303, 305, 309, 310], "temperature_out": 52, "max_it": [52, 53, 58, 303], "ep": [52, 53, 58, 303], "1e": [52, 53, 58, 257, 271, 287, 296, 301, 303], "06": [52, 53, 108, 160, 257, 258, 262, 288, 292, 301], "bottom_up_search": [52, 53, 145], "isobar": [52, 53, 70, 77, 80, 145, 225, 233, 257, 271, 281, 287, 293, 301, 305], "ani": [52, 53, 101, 102, 103, 104, 105, 113, 142, 162, 166, 167, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 196, 204, 214, 222, 226, 227, 228, 229, 230, 231, 233, 237, 240, 242, 248, 249, 251, 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"angle_to_direction": [[10, "angle-to-direction"]], "Examples using metpy.calc.angle_to_direction": [[10, "examples-using-metpy-calc-angle-to-direction"]], "apparent_temperature": [[11, "apparent-temperature"]], "azimuth_range_to_lat_lon": [[12, "azimuth-range-to-lat-lon"]], "Examples using metpy.calc.azimuth_range_to_lat_lon": [[12, "examples-using-metpy-calc-azimuth-range-to-lat-lon"]], "brunt_vaisala_frequency": [[13, "brunt-vaisala-frequency"]], "brunt_vaisala_frequency_squared": [[14, "brunt-vaisala-frequency-squared"]], "brunt_vaisala_period": [[15, "brunt-vaisala-period"]], "bulk_shear": [[16, "bulk-shear"]], "Examples using metpy.calc.bulk_shear": [[16, "examples-using-metpy-calc-bulk-shear"]], "bunkers_storm_motion": [[17, "bunkers-storm-motion"]], "Examples using metpy.calc.bunkers_storm_motion": [[17, "examples-using-metpy-calc-bunkers-storm-motion"]], "cape_cin": [[18, "cape-cin"]], "Examples using metpy.calc.cape_cin": [[18, "examples-using-metpy-calc-cape-cin"]], "ccl": [[19, "ccl"]], "coriolis_parameter": [[20, "coriolis-parameter"]], "critical_angle": [[21, "critical-angle"]], "Examples using metpy.calc.critical_angle": [[21, "examples-using-metpy-calc-critical-angle"]], "cross_section_components": [[22, "cross-section-components"]], "Examples using metpy.calc.cross_section_components": [[22, "examples-using-metpy-calc-cross-section-components"]], "cross_totals": [[23, "cross-totals"]], "Examples using metpy.calc.cross_totals": [[23, "examples-using-metpy-calc-cross-totals"]], "density": [[24, "density"]], "dewpoint": [[25, "dewpoint"]], "Examples using metpy.calc.dewpoint": [[25, "examples-using-metpy-calc-dewpoint"]], "dewpoint_from_relative_humidity": [[26, "dewpoint-from-relative-humidity"]], "Examples using metpy.calc.dewpoint_from_relative_humidity": [[26, "examples-using-metpy-calc-dewpoint-from-relative-humidity"]], "dewpoint_from_specific_humidity": [[27, "dewpoint-from-specific-humidity"]], "divergence": [[28, "divergence"]], "Examples using metpy.calc.divergence": [[28, "examples-using-metpy-calc-divergence"]], "dry_lapse": [[29, "dry-lapse"]], "Examples using metpy.calc.dry_lapse": [[29, "examples-using-metpy-calc-dry-lapse"]], "dry_static_energy": [[30, "dry-static-energy"]], "el": [[31, "el"]], "Examples using metpy.calc.el": [[31, "examples-using-metpy-calc-el"]], "equivalent_potential_temperature": [[32, "equivalent-potential-temperature"]], "Examples using metpy.calc.equivalent_potential_temperature": [[32, "examples-using-metpy-calc-equivalent-potential-temperature"]], "exner_function": [[33, "exner-function"]], "find_bounding_indices": [[34, "find-bounding-indices"]], "find_intersections": [[35, "find-intersections"]], "first_derivative": [[36, "first-derivative"]], "friction_velocity": [[37, "friction-velocity"]], "frontogenesis": [[38, "frontogenesis"]], "geopotential_to_height": [[39, "geopotential-to-height"]], "geospatial_gradient": [[40, "geospatial-gradient"]], "geospatial_laplacian": [[41, "geospatial-laplacian"]], "geostrophic_wind": [[42, "geostrophic-wind"]], "Examples using metpy.calc.geostrophic_wind": [[42, "examples-using-metpy-calc-geostrophic-wind"]], "get_layer": [[43, "get-layer"]], "get_layer_heights": [[44, "get-layer-heights"]], "get_perturbation": [[45, "get-perturbation"]], "gradient": [[46, "gradient"]], "Examples using metpy.calc.gradient": [[46, "examples-using-metpy-calc-gradient"]], "gradient_richardson_number": [[47, "gradient-richardson-number"]], "heat_index": [[48, "heat-index"]], "height_to_geopotential": [[49, "height-to-geopotential"]], "height_to_pressure_std": [[50, "height-to-pressure-std"]], "inertial_advective_wind": [[51, "inertial-advective-wind"]], "isentropic_interpolation": [[52, "isentropic-interpolation"]], "isentropic_interpolation_as_dataset": [[53, "isentropic-interpolation-as-dataset"]], "Examples using metpy.calc.isentropic_interpolation_as_dataset": [[53, "examples-using-metpy-calc-isentropic-interpolation-as-dataset"]], "k_index": [[54, "k-index"]], "Examples using metpy.calc.k_index": [[54, "examples-using-metpy-calc-k-index"]], "kinematic_flux": [[55, "kinematic-flux"]], "laplacian": [[56, "laplacian"]], "lat_lon_grid_deltas": [[57, "lat-lon-grid-deltas"]], "lcl": [[58, "lcl"]], "Examples using metpy.calc.lcl": [[58, "examples-using-metpy-calc-lcl"]], "lfc": [[59, "lfc"]], "Examples using metpy.calc.lfc": [[59, "examples-using-metpy-calc-lfc"]], "lifted_index": [[60, "lifted-index"]], "Examples using metpy.calc.lifted_index": [[60, "examples-using-metpy-calc-lifted-index"]], "mean_pressure_weighted": [[61, "mean-pressure-weighted"]], "Examples using metpy.calc.mean_pressure_weighted": [[61, "examples-using-metpy-calc-mean-pressure-weighted"]], "mixed_layer": [[62, "mixed-layer"]], "Examples using metpy.calc.mixed_layer": [[62, "examples-using-metpy-calc-mixed-layer"]], "mixed_layer_cape_cin": [[63, "mixed-layer-cape-cin"]], "Examples using metpy.calc.mixed_layer_cape_cin": [[63, "examples-using-metpy-calc-mixed-layer-cape-cin"]], "mixed_parcel": [[64, "mixed-parcel"]], "Examples using metpy.calc.mixed_parcel": [[64, "examples-using-metpy-calc-mixed-parcel"]], "mixing_ratio": [[65, "mixing-ratio"]], "mixing_ratio_from_relative_humidity": [[66, "mixing-ratio-from-relative-humidity"]], "Examples using metpy.calc.mixing_ratio_from_relative_humidity": [[66, "examples-using-metpy-calc-mixing-ratio-from-relative-humidity"]], "mixing_ratio_from_specific_humidity": [[67, "mixing-ratio-from-specific-humidity"]], "moist_lapse": [[68, "moist-lapse"]], "Examples using metpy.calc.moist_lapse": [[68, "examples-using-metpy-calc-moist-lapse"]], "moist_static_energy": [[69, "moist-static-energy"]], "montgomery_streamfunction": [[70, "montgomery-streamfunction"]], "Examples using metpy.calc.montgomery_streamfunction": [[70, "examples-using-metpy-calc-montgomery-streamfunction"]], "most_unstable_cape_cin": [[71, "most-unstable-cape-cin"]], "Examples using metpy.calc.most_unstable_cape_cin": [[71, "examples-using-metpy-calc-most-unstable-cape-cin"]], "most_unstable_parcel": [[72, "most-unstable-parcel"]], "Examples using metpy.calc.most_unstable_parcel": [[72, "examples-using-metpy-calc-most-unstable-parcel"]], "nearest_intersection_idx": [[73, "nearest-intersection-idx"]], "normal_component": [[74, "normal-component"]], "parcel_profile": [[75, "parcel-profile"]], "Examples using metpy.calc.parcel_profile": [[75, "examples-using-metpy-calc-parcel-profile"]], "parcel_profile_with_lcl": [[76, "parcel-profile-with-lcl"]], "parcel_profile_with_lcl_as_dataset": [[77, "parcel-profile-with-lcl-as-dataset"]], "Examples using metpy.calc.parcel_profile_with_lcl_as_dataset": [[77, "examples-using-metpy-calc-parcel-profile-with-lcl-as-dataset"]], "parse_angle": [[78, "parse-angle"]], "Examples using metpy.calc.parse_angle": [[78, "examples-using-metpy-calc-parse-angle"]], "potential_temperature": [[79, "potential-temperature"]], "Examples using metpy.calc.potential_temperature": [[79, "examples-using-metpy-calc-potential-temperature"]], "potential_vorticity_baroclinic": [[80, "potential-vorticity-baroclinic"]], "potential_vorticity_barotropic": [[81, "potential-vorticity-barotropic"]], "precipitable_water": [[82, "precipitable-water"]], "pressure_to_height_std": [[83, "pressure-to-height-std"]], "psychrometric_vapor_pressure_wet": [[84, "psychrometric-vapor-pressure-wet"]], "q_vector": [[85, "q-vector"]], "Examples using metpy.calc.q_vector": [[85, "examples-using-metpy-calc-q-vector"]], "reduce_point_density": [[86, "reduce-point-density"]], "Examples using metpy.calc.reduce_point_density": [[86, "examples-using-metpy-calc-reduce-point-density"]], "relative_humidity_from_dewpoint": [[87, "relative-humidity-from-dewpoint"]], "Examples using metpy.calc.relative_humidity_from_dewpoint": [[87, "examples-using-metpy-calc-relative-humidity-from-dewpoint"]], "relative_humidity_from_mixing_ratio": [[88, "relative-humidity-from-mixing-ratio"]], "relative_humidity_from_specific_humidity": [[89, "relative-humidity-from-specific-humidity"]], "Examples using metpy.calc.relative_humidity_from_specific_humidity": [[89, "examples-using-metpy-calc-relative-humidity-from-specific-humidity"]], "relative_humidity_wet_psychrometric": [[90, "relative-humidity-wet-psychrometric"]], "resample_nn_1d": [[91, "resample-nn-1d"]], "Examples using metpy.calc.resample_nn_1d": [[91, "examples-using-metpy-calc-resample-nn-1d"]], "saturation_equivalent_potential_temperature": [[92, "saturation-equivalent-potential-temperature"]], "saturation_mixing_ratio": [[93, "saturation-mixing-ratio"]], "saturation_vapor_pressure": [[94, "saturation-vapor-pressure"]], "scale_height": [[95, "scale-height"]], "second_derivative": [[96, "second-derivative"]], "shearing_deformation": [[97, "shearing-deformation"]], "Examples using metpy.calc.shearing_deformation": [[97, "examples-using-metpy-calc-shearing-deformation"]], "showalter_index": [[98, "showalter-index"]], "Examples using metpy.calc.showalter_index": [[98, "examples-using-metpy-calc-showalter-index"]], "sigma_to_pressure": [[99, "sigma-to-pressure"]], "significant_tornado": [[100, "significant-tornado"]], "Examples using metpy.calc.significant_tornado": [[100, "examples-using-metpy-calc-significant-tornado"]], "smooth_circular": [[101, "smooth-circular"]], "Examples using metpy.calc.smooth_circular": [[101, "examples-using-metpy-calc-smooth-circular"]], "smooth_gaussian": [[102, "smooth-gaussian"]], "Examples using metpy.calc.smooth_gaussian": [[102, "examples-using-metpy-calc-smooth-gaussian"]], "smooth_n_point": [[103, "smooth-n-point"]], "Examples using metpy.calc.smooth_n_point": [[103, "examples-using-metpy-calc-smooth-n-point"]], "smooth_rectangular": [[104, "smooth-rectangular"]], "Examples using metpy.calc.smooth_rectangular": [[104, "examples-using-metpy-calc-smooth-rectangular"]], "smooth_window": [[105, "smooth-window"]], "Examples using metpy.calc.smooth_window": [[105, "examples-using-metpy-calc-smooth-window"]], "specific_humidity_from_dewpoint": [[106, "specific-humidity-from-dewpoint"]], "specific_humidity_from_mixing_ratio": [[107, "specific-humidity-from-mixing-ratio"]], "static_stability": [[108, "static-stability"]], "Examples using metpy.calc.static_stability": [[108, "examples-using-metpy-calc-static-stability"]], "storm_relative_helicity": [[109, "storm-relative-helicity"]], "Examples using metpy.calc.storm_relative_helicity": [[109, "examples-using-metpy-calc-storm-relative-helicity"]], "stretching_deformation": [[110, "stretching-deformation"]], "Examples using metpy.calc.stretching_deformation": [[110, "examples-using-metpy-calc-stretching-deformation"]], "supercell_composite": [[111, "supercell-composite"]], "Examples using metpy.calc.supercell_composite": [[111, "examples-using-metpy-calc-supercell-composite"]], "surface_based_cape_cin": [[112, "surface-based-cape-cin"]], "Examples using metpy.calc.surface_based_cape_cin": [[112, "examples-using-metpy-calc-surface-based-cape-cin"]], "sweat_index": [[113, "sweat-index"]], "tangential_component": [[114, "tangential-component"]], "temperature_from_potential_temperature": [[115, "temperature-from-potential-temperature"]], "thickness_hydrostatic": [[116, "thickness-hydrostatic"]], "Examples using metpy.calc.thickness_hydrostatic": [[116, "examples-using-metpy-calc-thickness-hydrostatic"]], "thickness_hydrostatic_from_relative_humidity": [[117, "thickness-hydrostatic-from-relative-humidity"]], "tke": [[118, "tke"]], "total_deformation": [[119, "total-deformation"]], "Examples using metpy.calc.total_deformation": [[119, "examples-using-metpy-calc-total-deformation"]], "total_totals_index": [[120, "total-totals-index"]], "Examples using metpy.calc.total_totals_index": [[120, "examples-using-metpy-calc-total-totals-index"]], "unit_vectors_from_cross_section": [[121, "unit-vectors-from-cross-section"]], "vapor_pressure": [[122, 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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 3d24e5adab9..4ac77a270de 100644
--- a/dev/tutorials/area_tutorial.html
+++ b/dev/tutorials/area_tutorial.html
@@ -75,7 +75,7 @@
-
+
@@ -947,7 +947,7 @@ Examaple Using Declarative Syntaxpc.show()
-Total running time of the script: (0 minutes 20.026 seconds)
+Total running time of the script: (0 minutes 12.300 seconds)
Download Python source code: area_tutorial.py
diff --git a/dev/tutorials/declarative_tutorial.html b/dev/tutorials/declarative_tutorial.html
index 229333aa658..49f49b270a1 100644
--- a/dev/tutorials/declarative_tutorial.html
+++ b/dev/tutorials/declarative_tutorial.html
@@ -75,7 +75,7 @@
-
+
@@ -1010,7 +1010,7 @@ 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 20.992 seconds)
+Total running time of the script: (0 minutes 12.646 seconds)
Download Python source code: declarative_tutorial.py
diff --git a/dev/tutorials/index.html b/dev/tutorials/index.html
index 32342f30452..453af2c66a7 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 a6001192966..b93b6ad56fa 100644
--- a/dev/tutorials/sg_execution_times.html
+++ b/dev/tutorials/sg_execution_times.html
@@ -73,7 +73,7 @@
-
+
@@ -477,27 +477,27 @@
Computation times#
-00:47.821 total execution time for tutorials files:
+00:30.153 total execution time for tutorials files: