From 3a3d80cc97d5d6c29dbeec02d26d612e4a04c8ea Mon Sep 17 00:00:00 2001
From: dopplershift crs ( crs ( crs (WeeF-T{SYUmhbR}fr$400|AC;7?cju4cxTe3a`g?s}t7y_q)
zwGfo6nvxNyP%t<`DK1_dfieY0M!~J1dz9KaH9JZpSUD$5(>c-*rY?>I!*E)`YM6>S
z;uxdp4Bcb@XU&g+S9RGVq{Hn!5jd}E<|DKQM{=W3tTwzCg(5azzKuc&doR;80
_H*hFQb-WVSi=SGK$%J*~>uQOaC$r#!shKP|42A!4)b<#>+4-J+bDj7bU!E+3%$~
zv}w8SMG;#lOMLWXA$a7Y2w5)w`e=vbxXfH7F&QrHtE6G^*edeaZW-gJ!N_e{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 902.6954128823937 ... 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 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 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 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 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 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 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]
[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 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 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 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 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 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 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))
@@ -798,7 +798,7 @@ calculated with `mpcalc.montgomery_streamfunction`.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 14.334 seconds)
+ **Total running time of the script:** (0 minutes 13.765 seconds)
.. _sphx_glr_download_examples_isentropic_example.py:
diff --git a/dev/_sources/examples/meteogram_metpy.rst.txt b/dev/_sources/examples/meteogram_metpy.rst.txt
index fb3d0cf21f1..9e7381ef9b1 100644
--- a/dev/_sources/examples/meteogram_metpy.rst.txt
+++ b/dev/_sources/examples/meteogram_metpy.rst.txt
@@ -253,7 +253,7 @@ Plots time series data as a meteogram.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 0.950 seconds)
+ **Total running time of the script:** (0 minutes 0.902 seconds)
.. _sphx_glr_download_examples_meteogram_metpy.py:
diff --git a/dev/_sources/examples/plots/Combined_plotting.rst.txt b/dev/_sources/examples/plots/Combined_plotting.rst.txt
index c98feb276cb..641b0f42716 100644
--- a/dev/_sources/examples/plots/Combined_plotting.rst.txt
+++ b/dev/_sources/examples/plots/Combined_plotting.rst.txt
@@ -123,7 +123,7 @@ Plot the data on a map
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 7.705 seconds)
+ **Total running time of the script:** (0 minutes 6.762 seconds)
.. _sphx_glr_download_examples_plots_Combined_plotting.py:
diff --git a/dev/_sources/examples/plots/Hodograph_Inset.rst.txt b/dev/_sources/examples/plots/Hodograph_Inset.rst.txt
index 484c36dfcc0..c85ec1809cc 100644
--- a/dev/_sources/examples/plots/Hodograph_Inset.rst.txt
+++ b/dev/_sources/examples/plots/Hodograph_Inset.rst.txt
@@ -146,7 +146,7 @@ assign units.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 0.292 seconds)
+ **Total running time of the script:** (0 minutes 0.258 seconds)
.. _sphx_glr_download_examples_plots_Hodograph_Inset.py:
diff --git a/dev/_sources/examples/plots/Mesonet_Stationplot.rst.txt b/dev/_sources/examples/plots/Mesonet_Stationplot.rst.txt
index 3f43e847ed0..292a37ea12d 100644
--- a/dev/_sources/examples/plots/Mesonet_Stationplot.rst.txt
+++ b/dev/_sources/examples/plots/Mesonet_Stationplot.rst.txt
@@ -193,7 +193,7 @@ Create the figure
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 17.392 seconds)
+ **Total running time of the script:** (0 minutes 16.207 seconds)
.. _sphx_glr_download_examples_plots_Mesonet_Stationplot.py:
diff --git a/dev/_sources/examples/plots/Plotting_Surface_Analysis.rst.txt b/dev/_sources/examples/plots/Plotting_Surface_Analysis.rst.txt
index 09efa114717..39fe7847d78 100644
--- a/dev/_sources/examples/plots/Plotting_Surface_Analysis.rst.txt
+++ b/dev/_sources/examples/plots/Plotting_Surface_Analysis.rst.txt
@@ -137,7 +137,7 @@ Set up the map for plotting, parse the bulletin, and plot it
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 7.894 seconds)
+ **Total running time of the script:** (0 minutes 7.173 seconds)
.. _sphx_glr_download_examples_plots_Plotting_Surface_Analysis.py:
diff --git a/dev/_sources/examples/plots/Simple_Fronts_Plot.rst.txt b/dev/_sources/examples/plots/Simple_Fronts_Plot.rst.txt
index 59b7d7f4bc5..f5a9f401566 100644
--- a/dev/_sources/examples/plots/Simple_Fronts_Plot.rst.txt
+++ b/dev/_sources/examples/plots/Simple_Fronts_Plot.rst.txt
@@ -94,7 +94,7 @@ standard lines, but add our path effects.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 0.131 seconds)
+ **Total running time of the script:** (0 minutes 0.121 seconds)
.. _sphx_glr_download_examples_plots_Simple_Fronts_Plot.py:
diff --git a/dev/_sources/examples/plots/Simple_Sounding.rst.txt b/dev/_sources/examples/plots/Simple_Sounding.rst.txt
index 9a5af499da0..4dbe9f5a879 100644
--- a/dev/_sources/examples/plots/Simple_Sounding.rst.txt
+++ b/dev/_sources/examples/plots/Simple_Sounding.rst.txt
@@ -149,7 +149,7 @@ assign units.
.. code-block:: none
- 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))
@@ -586,7 +586,7 @@ Add the plot to a Map Panel and Panel Container.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 1.067 seconds)
+ **Total running time of the script:** (0 minutes 1.036 seconds)
.. _sphx_glr_download_examples_plots_raster_declarative.py:
diff --git a/dev/_sources/examples/plots/sg_execution_times.rst.txt b/dev/_sources/examples/plots/sg_execution_times.rst.txt
index 8d7c9255db3..a93290b073a 100644
--- a/dev/_sources/examples/plots/sg_execution_times.rst.txt
+++ b/dev/_sources/examples/plots/sg_execution_times.rst.txt
@@ -6,40 +6,40 @@
Computation times
=================
-**01:28.877** total execution time for **examples_plots** files:
+**01:21.554** total execution time for **examples_plots** files:
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_nhc_wind_probabilities.py` (``nhc_wind_probabilities.py``) | 00:17.809 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_nhc_wind_probabilities.py` (``nhc_wind_probabilities.py``) | 00:16.587 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Mesonet_Stationplot.py` (``Mesonet_Stationplot.py``) | 00:17.392 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Mesonet_Stationplot.py` (``Mesonet_Stationplot.py``) | 00:16.207 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Station_Plot.py` (``Station_Plot.py``) | 00:16.861 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Station_Plot.py` (``Station_Plot.py``) | 00:15.368 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_spc_convective_outlook.py` (``spc_convective_outlook.py``) | 00:09.975 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_spc_convective_outlook.py` (``spc_convective_outlook.py``) | 00:09.201 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Plotting_Surface_Analysis.py` (``Plotting_Surface_Analysis.py``) | 00:07.894 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Plotting_Surface_Analysis.py` (``Plotting_Surface_Analysis.py``) | 00:07.173 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Combined_plotting.py` (``Combined_plotting.py``) | 00:07.705 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Combined_plotting.py` (``Combined_plotting.py``) | 00:06.762 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_US_Counties.py` (``US_Counties.py``) | 00:03.166 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_US_Counties.py` (``US_Counties.py``) | 00:02.905 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Station_Plot_with_Layout.py` (``Station_Plot_with_Layout.py``) | 00:02.079 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Station_Plot_with_Layout.py` (``Station_Plot_with_Layout.py``) | 00:01.847 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_surface_declarative.py` (``surface_declarative.py``) | 00:01.857 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_surface_declarative.py` (``surface_declarative.py``) | 00:01.624 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_raster_declarative.py` (``raster_declarative.py``) | 00:01.067 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_raster_declarative.py` (``raster_declarative.py``) | 00:01.036 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_upperair_declarative.py` (``upperair_declarative.py``) | 00:00.977 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_upperair_declarative.py` (``upperair_declarative.py``) | 00:00.894 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Simplified_Image_Plot.py` (``Simplified_Image_Plot.py``) | 00:00.710 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Simplified_Image_Plot.py` (``Simplified_Image_Plot.py``) | 00:00.695 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Simple_Sounding.py` (``Simple_Sounding.py``) | 00:00.423 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Simple_Sounding.py` (``Simple_Sounding.py``) | 00:00.399 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Hodograph_Inset.py` (``Hodograph_Inset.py``) | 00:00.292 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Hodograph_Inset.py` (``Hodograph_Inset.py``) | 00:00.258 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Skew-T_Layout.py` (``Skew-T_Layout.py``) | 00:00.282 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Skew-T_Layout.py` (``Skew-T_Layout.py``) | 00:00.248 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Sounding_LCL_Dataset.py` (``Sounding_LCL_Dataset.py``) | 00:00.255 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Sounding_LCL_Dataset.py` (``Sounding_LCL_Dataset.py``) | 00:00.230 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_plots_Simple_Fronts_Plot.py` (``Simple_Fronts_Plot.py``) | 00:00.131 | 0.0 MB |
+| :ref:`sphx_glr_examples_plots_Simple_Fronts_Plot.py` (``Simple_Fronts_Plot.py``) | 00:00.121 | 0.0 MB |
+------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/dev/_sources/examples/plots/spc_convective_outlook.rst.txt b/dev/_sources/examples/plots/spc_convective_outlook.rst.txt
index 9459bbda3b9..4ddd780323e 100644
--- a/dev/_sources/examples/plots/spc_convective_outlook.rst.txt
+++ b/dev/_sources/examples/plots/spc_convective_outlook.rst.txt
@@ -245,7 +245,7 @@ Add the geometry plot to a panel and container.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 9.975 seconds)
+ **Total running time of the script:** (0 minutes 9.201 seconds)
.. _sphx_glr_download_examples_plots_spc_convective_outlook.py:
diff --git a/dev/_sources/examples/plots/surface_declarative.rst.txt b/dev/_sources/examples/plots/surface_declarative.rst.txt
index e8b3d6fb237..457073aece6 100644
--- a/dev/_sources/examples/plots/surface_declarative.rst.txt
+++ b/dev/_sources/examples/plots/surface_declarative.rst.txt
@@ -131,7 +131,7 @@ Georgia.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 1.857 seconds)
+ **Total running time of the script:** (0 minutes 1.624 seconds)
.. _sphx_glr_download_examples_plots_surface_declarative.py:
diff --git a/dev/_sources/examples/plots/upperair_declarative.rst.txt b/dev/_sources/examples/plots/upperair_declarative.rst.txt
index f89cbdff447..d146328e3b5 100644
--- a/dev/_sources/examples/plots/upperair_declarative.rst.txt
+++ b/dev/_sources/examples/plots/upperair_declarative.rst.txt
@@ -125,7 +125,7 @@ Use the declarative plotting interface to create a CONUS upper-air map for 500 h
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 0.977 seconds)
+ **Total running time of the script:** (0 minutes 0.894 seconds)
.. _sphx_glr_download_examples_plots_upperair_declarative.py:
diff --git a/dev/_sources/examples/sg_execution_times.rst.txt b/dev/_sources/examples/sg_execution_times.rst.txt
index d02ae5cf20f..8c212901c8f 100644
--- a/dev/_sources/examples/sg_execution_times.rst.txt
+++ b/dev/_sources/examples/sg_execution_times.rst.txt
@@ -6,22 +6,22 @@
Computation times
=================
-**01:02.261** total execution time for **examples** files:
+**00:56.837** total execution time for **examples** files:
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_isentropic_example.py` (``isentropic_example.py``) | 00:14.334 | 0.0 MB |
+| :ref:`sphx_glr_examples_isentropic_example.py` (``isentropic_example.py``) | 00:13.765 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_sigma_to_pressure_interpolation.py` (``sigma_to_pressure_interpolation.py``) | 00:14.266 | 0.0 MB |
+| :ref:`sphx_glr_examples_XArray_Projections.py` (``XArray_Projections.py``) | 00:12.037 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_XArray_Projections.py` (``XArray_Projections.py``) | 00:13.271 | 0.0 MB |
+| :ref:`sphx_glr_examples_sigma_to_pressure_interpolation.py` (``sigma_to_pressure_interpolation.py``) | 00:11.686 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_Four_Panel_Map.py` (``Four_Panel_Map.py``) | 00:11.833 | 0.0 MB |
+| :ref:`sphx_glr_examples_Four_Panel_Map.py` (``Four_Panel_Map.py``) | 00:11.300 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_cross_section.py` (``cross_section.py``) | 00:06.496 | 0.0 MB |
+| :ref:`sphx_glr_examples_cross_section.py` (``cross_section.py``) | 00:06.116 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_meteogram_metpy.py` (``meteogram_metpy.py``) | 00:00.950 | 0.0 MB |
+| :ref:`sphx_glr_examples_meteogram_metpy.py` (``meteogram_metpy.py``) | 00:00.902 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_Complex-Sounding-Plot.py` (``Complex-Sounding-Plot.py``) | 00:00.863 | 0.0 MB |
+| :ref:`sphx_glr_examples_Complex-Sounding-Plot.py` (``Complex-Sounding-Plot.py``) | 00:00.814 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_Advanced_Sounding.py` (``Advanced_Sounding.py``) | 00:00.248 | 0.0 MB |
+| :ref:`sphx_glr_examples_Advanced_Sounding.py` (``Advanced_Sounding.py``) | 00:00.218 | 0.0 MB |
+------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/dev/_sources/examples/sigma_to_pressure_interpolation.rst.txt b/dev/_sources/examples/sigma_to_pressure_interpolation.rst.txt
index 8f22dd3ed10..247f357afcf 100644
--- a/dev/_sources/examples/sigma_to_pressure_interpolation.rst.txt
+++ b/dev/_sources/examples/sigma_to_pressure_interpolation.rst.txt
@@ -188,7 +188,7 @@ variable for plotting.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 14.266 seconds)
+ **Total running time of the script:** (0 minutes 11.686 seconds)
.. _sphx_glr_download_examples_sigma_to_pressure_interpolation.py:
diff --git a/dev/_sources/tutorials/area_tutorial.rst.txt b/dev/_sources/tutorials/area_tutorial.rst.txt
index 75ba6263f3a..39ceb61118e 100644
--- a/dev/_sources/tutorials/area_tutorial.rst.txt
+++ b/dev/_sources/tutorials/area_tutorial.rst.txt
@@ -522,7 +522,7 @@ some surface observations.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 13.662 seconds)
+ **Total running time of the script:** (0 minutes 12.295 seconds)
.. _sphx_glr_download_tutorials_area_tutorial.py:
diff --git a/dev/_sources/tutorials/declarative_tutorial.rst.txt b/dev/_sources/tutorials/declarative_tutorial.rst.txt
index b49269a0d7a..1b9fb809402 100644
--- a/dev/_sources/tutorials/declarative_tutorial.rst.txt
+++ b/dev/_sources/tutorials/declarative_tutorial.rst.txt
@@ -897,7 +897,7 @@ Default value is zero (e.g., no points are removed from the plot).
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 14.308 seconds)
+ **Total running time of the script:** (0 minutes 12.669 seconds)
.. _sphx_glr_download_tutorials_declarative_tutorial.py:
diff --git a/dev/_sources/tutorials/sg_execution_times.rst.txt b/dev/_sources/tutorials/sg_execution_times.rst.txt
index d06fbf41ca2..28b6d5e96a3 100644
--- a/dev/_sources/tutorials/sg_execution_times.rst.txt
+++ b/dev/_sources/tutorials/sg_execution_times.rst.txt
@@ -6,16 +6,16 @@
Computation times
=================
-**00:33.086** total execution time for **tutorials** files:
+**00:30.050** total execution time for **tutorials** files:
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_declarative_tutorial.py` (``declarative_tutorial.py``) | 00:14.308 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_declarative_tutorial.py` (``declarative_tutorial.py``) | 00:12.669 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_area_tutorial.py` (``area_tutorial.py``) | 00:13.662 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_area_tutorial.py` (``area_tutorial.py``) | 00:12.295 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_xarray_tutorial.py` (``xarray_tutorial.py``) | 00:03.570 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_xarray_tutorial.py` (``xarray_tutorial.py``) | 00:03.662 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_upperair_soundings.py` (``upperair_soundings.py``) | 00:01.530 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_upperair_soundings.py` (``upperair_soundings.py``) | 00:01.409 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_unit_tutorial.py` (``unit_tutorial.py``) | 00:00.016 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_unit_tutorial.py` (``unit_tutorial.py``) | 00:00.014 | 0.0 MB |
+---------------------------------------------------------------------------------+-----------+--------+
diff --git a/dev/_sources/tutorials/unit_tutorial.rst.txt b/dev/_sources/tutorials/unit_tutorial.rst.txt
index 40a45f176e5..579b3b93ea7 100644
--- a/dev/_sources/tutorials/unit_tutorial.rst.txt
+++ b/dev/_sources/tutorials/unit_tutorial.rst.txt
@@ -718,7 +718,7 @@ these when you're having issues.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 0.016 seconds)
+ **Total running time of the script:** (0 minutes 0.014 seconds)
.. _sphx_glr_download_tutorials_unit_tutorial.py:
diff --git a/dev/_sources/tutorials/upperair_soundings.rst.txt b/dev/_sources/tutorials/upperair_soundings.rst.txt
index 72913d181f2..4e493c4c385 100644
--- a/dev/_sources/tutorials/upperair_soundings.rst.txt
+++ b/dev/_sources/tutorials/upperair_soundings.rst.txt
@@ -329,7 +329,7 @@ which are not drawn.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 1.530 seconds)
+ **Total running time of the script:** (0 minutes 1.409 seconds)
.. _sphx_glr_download_tutorials_upperair_soundings.py:
diff --git a/dev/_sources/tutorials/xarray_tutorial.rst.txt b/dev/_sources/tutorials/xarray_tutorial.rst.txt
index c0d07e5635e..b3691f84cb1 100644
--- a/dev/_sources/tutorials/xarray_tutorial.rst.txt
+++ b/dev/_sources/tutorials/xarray_tutorial.rst.txt
@@ -475,22 +475,22 @@ First, some general imports...
geospatial_lat_min: ...
geospatial_lat_max: ...
geospatial_lon_min: ...
- geospatial_lon_max: ...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))
@@ -945,20 +945,20 @@ if we look at just a single data variable?
Grib2_Level_Type: 100
Grib2_Level_Desc: Isobaric surface
Grib2_Generating_Process_Type: Forecast
- grid_mapping: LatLon_361X720-0p25S-180p00E[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))
@@ -1416,20 +1416,20 @@ with that type
standard_name: time
long_name: time
udunits: Hour since 2017-09-05T12:00:00Z
- _metpy_axis: timearray(['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))
@@ -1934,20 +1934,20 @@ the CRS using the ``.assign_crs()`` method:
Grib2_Level_Type: 100
Grib2_Level_Desc: Isobaric surface
Grib2_Generating_Process_Type: Forecast
- grid_mapping: LatLon_361X720-0p25S-180p00E[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 0x7ff7fd8ec490>,
- 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 0x7fb141611a90>,
+ 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))
@@ -2016,7 +2016,7 @@ corresponding to this CRS:
absolute_vorticity
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.advection
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.ageostrophic_wind
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.azimuth_range_to_lat_lonfloat) – The latitude of the pole in decimal degrees
center_lon (float) – The longitude of the pole in decimal degrees
geod (pyproj.Geod
or None
) – PyProj Geod to use for forward azimuth and distance calculations. If None
, use a
+
geod (pyproj.Geod
or None
) – PyProj Geod to use for forward azimuth and distance calculations. If None
, use a
default spherical ellipsoid.
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
y_dim (int) – axis number for the y dimension, defaults to -2.
geod (pyproj.Geod
or None
) – PyProj Geod to use for forward azimuth and distance calculations. If None
, use a
+
geod (pyproj.Geod
or None
) – PyProj Geod to use for forward azimuth and distance calculations. If None
, use a
default spherical ellipsoid.
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+
crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
+crs (pyproj.crs.CRS
, optional) – Coordinate Reference System of data. Optional if xarray.DataArray
with MetPy CRS
used as input. Also optional if parallel_scale and meridional_scale are given. If
otherwise omitted, calculation will be carried out on a Cartesian, rather than
geospatial, grid. Keyword-only argument.
crs (pyproj.crs.CRS
) – PyProj Coordinate Reference System to use for the output
crs (pyproj.crs.CRS
) – PyProj Coordinate Reference System to use for the output
start ((2, ) array-like) – A latitude-longitude pair designating the start point of the geodesic (units are degrees north and degrees east).
end ((2, ) array-like) – A latitude-longitude pair designating the end point of the geodesic (units are degrees diff --git a/dev/api/generated/metpy.interpolate.html b/dev/api/generated/metpy.interpolate.html index 17eea1de148..1bca96711e1 100644 --- a/dev/api/generated/metpy.interpolate.html +++ b/dev/api/generated/metpy.interpolate.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.interpolate_1d.html b/dev/api/generated/metpy.interpolate.interpolate_1d.html index 54667148514..ffe4c80f170 100644 --- a/dev/api/generated/metpy.interpolate.interpolate_1d.html +++ b/dev/api/generated/metpy.interpolate.interpolate_1d.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.interpolate_nans_1d.html b/dev/api/generated/metpy.interpolate.interpolate_nans_1d.html index 27f3462b479..2f5dc343804 100644 --- a/dev/api/generated/metpy.interpolate.interpolate_nans_1d.html +++ b/dev/api/generated/metpy.interpolate.interpolate_nans_1d.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.interpolate_to_grid.html b/dev/api/generated/metpy.interpolate.interpolate_to_grid.html index 723b160f207..d95c11b4e16 100644 --- a/dev/api/generated/metpy.interpolate.interpolate_to_grid.html +++ b/dev/api/generated/metpy.interpolate.interpolate_to_grid.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.interpolate_to_isosurface.html b/dev/api/generated/metpy.interpolate.interpolate_to_isosurface.html index 67dbb0d8056..eff3cdd441d 100644 --- a/dev/api/generated/metpy.interpolate.interpolate_to_isosurface.html +++ b/dev/api/generated/metpy.interpolate.interpolate_to_isosurface.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.interpolate_to_points.html b/dev/api/generated/metpy.interpolate.interpolate_to_points.html index 19d09189b7e..27577293626 100644 --- a/dev/api/generated/metpy.interpolate.interpolate_to_points.html +++ b/dev/api/generated/metpy.interpolate.interpolate_to_points.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.interpolate_to_slice.html b/dev/api/generated/metpy.interpolate.interpolate_to_slice.html index c0fd855c648..510d0fe71c7 100644 --- a/dev/api/generated/metpy.interpolate.interpolate_to_slice.html +++ b/dev/api/generated/metpy.interpolate.interpolate_to_slice.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.inverse_distance_to_grid.html b/dev/api/generated/metpy.interpolate.inverse_distance_to_grid.html index 0ffda686e1a..c389041bf21 100644 --- a/dev/api/generated/metpy.interpolate.inverse_distance_to_grid.html +++ b/dev/api/generated/metpy.interpolate.inverse_distance_to_grid.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.inverse_distance_to_points.html b/dev/api/generated/metpy.interpolate.inverse_distance_to_points.html index ed4a94785fe..5d8464b1313 100644 --- a/dev/api/generated/metpy.interpolate.inverse_distance_to_points.html +++ b/dev/api/generated/metpy.interpolate.inverse_distance_to_points.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.log_interpolate_1d.html b/dev/api/generated/metpy.interpolate.log_interpolate_1d.html index b904bc92608..72db3620358 100644 --- a/dev/api/generated/metpy.interpolate.log_interpolate_1d.html +++ b/dev/api/generated/metpy.interpolate.log_interpolate_1d.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.natural_neighbor_to_grid.html b/dev/api/generated/metpy.interpolate.natural_neighbor_to_grid.html index 5cac0159c46..a4a24846a34 100644 --- a/dev/api/generated/metpy.interpolate.natural_neighbor_to_grid.html +++ b/dev/api/generated/metpy.interpolate.natural_neighbor_to_grid.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.natural_neighbor_to_points.html b/dev/api/generated/metpy.interpolate.natural_neighbor_to_points.html index 749d6b82ee0..def4505a76c 100644 --- a/dev/api/generated/metpy.interpolate.natural_neighbor_to_points.html +++ b/dev/api/generated/metpy.interpolate.natural_neighbor_to_points.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.remove_nan_observations.html b/dev/api/generated/metpy.interpolate.remove_nan_observations.html index 8645fb38fba..1894531d4d9 100644 --- a/dev/api/generated/metpy.interpolate.remove_nan_observations.html +++ b/dev/api/generated/metpy.interpolate.remove_nan_observations.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.remove_observations_below_value.html b/dev/api/generated/metpy.interpolate.remove_observations_below_value.html index 6f2758369ff..7d050c487a3 100644 --- a/dev/api/generated/metpy.interpolate.remove_observations_below_value.html +++ b/dev/api/generated/metpy.interpolate.remove_observations_below_value.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.interpolate.remove_repeat_coordinates.html b/dev/api/generated/metpy.interpolate.remove_repeat_coordinates.html index 49b1ad0fd33..0b138691285 100644 --- a/dev/api/generated/metpy.interpolate.remove_repeat_coordinates.html +++ b/dev/api/generated/metpy.interpolate.remove_repeat_coordinates.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.io.GempakGrid.html b/dev/api/generated/metpy.io.GempakGrid.html index 66fe1847164..26a65c04199 100644 --- a/dev/api/generated/metpy.io.GempakGrid.html +++ b/dev/api/generated/metpy.io.GempakGrid.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.io.GempakSounding.html b/dev/api/generated/metpy.io.GempakSounding.html index 3b840570a0b..551201744fe 100644 --- a/dev/api/generated/metpy.io.GempakSounding.html +++ b/dev/api/generated/metpy.io.GempakSounding.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.io.GempakSurface.html b/dev/api/generated/metpy.io.GempakSurface.html index 19bd62842ec..845acd82ce0 100644 --- a/dev/api/generated/metpy.io.GempakSurface.html +++ b/dev/api/generated/metpy.io.GempakSurface.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.io.GiniFile.html b/dev/api/generated/metpy.io.GiniFile.html index 7b4372e170d..8315b7132ac 100644 --- a/dev/api/generated/metpy.io.GiniFile.html +++ b/dev/api/generated/metpy.io.GiniFile.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.io.Level2File.html b/dev/api/generated/metpy.io.Level2File.html index f74f02d4d2c..2fdc8904052 100644 --- a/dev/api/generated/metpy.io.Level2File.html +++ b/dev/api/generated/metpy.io.Level2File.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.io.Level3File.html b/dev/api/generated/metpy.io.Level3File.html index 166ef3aa948..d6072bfadf4 100644 --- a/dev/api/generated/metpy.io.Level3File.html +++ b/dev/api/generated/metpy.io.Level3File.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.io.StationLookup.html b/dev/api/generated/metpy.io.StationLookup.html index 98e08d52445..58f3df37d07 100644 --- a/dev/api/generated/metpy.io.StationLookup.html +++ b/dev/api/generated/metpy.io.StationLookup.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.io.add_station_lat_lon.html b/dev/api/generated/metpy.io.add_station_lat_lon.html index 9342f47eeda..74e689d893f 100644 --- a/dev/api/generated/metpy.io.add_station_lat_lon.html +++ b/dev/api/generated/metpy.io.add_station_lat_lon.html @@ -75,7 +75,7 @@ - + @@ -747,14 +747,14 @@
df (pandas.DataFrame
) – The DataFrame that contains the station observations
df (pandas.DataFrame
) – The DataFrame that contains the station observations
stn_var (str, optional) – The string of the variable name that represents the station in the DataFrame. If not provided, ‘station’, ‘stid’, and ‘station_id’ are tried in that order.
pandas.DataFrame
that contains original Dataframe now with the latitude and longitude
pandas.DataFrame
that contains original Dataframe now with the latitude and longitude
values for each location found in station_info
.
Notes
diff --git a/dev/api/generated/metpy.io.parse_metar_to_dataframe.html b/dev/api/generated/metpy.io.parse_metar_to_dataframe.html index 5dc38118b77..e9e692acdde 100644 --- a/dev/api/generated/metpy.io.parse_metar_to_dataframe.html +++ b/dev/api/generated/metpy.io.parse_metar_to_dataframe.html @@ -75,7 +75,7 @@ - + @@ -742,7 +742,7 @@Parse a single METAR report into a Pandas DataFrame.
-Takes a METAR string in a text form, and creates a pandas.DataFrame
including the
+
Takes a METAR string in a text form, and creates a pandas.DataFrame
including the
essential information (not including the remarks)
The parser follows the WMO format, allowing for missing data and assigning nan values where necessary. The WMO code is also provided for current weather, @@ -756,7 +756,7 @@
Notes
diff --git a/dev/api/generated/metpy.io.parse_wpc_surface_bulletin.html b/dev/api/generated/metpy.io.parse_wpc_surface_bulletin.html index 0c751646c40..d06508dbfad 100644 --- a/dev/api/generated/metpy.io.parse_wpc_surface_bulletin.html +++ b/dev/api/generated/metpy.io.parse_wpc_surface_bulletin.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.ArrowPlot.html b/dev/api/generated/metpy.plots.ArrowPlot.html index fd86ef9d4ef..24cdcb11b24 100644 --- a/dev/api/generated/metpy.plots.ArrowPlot.html +++ b/dev/api/generated/metpy.plots.ArrowPlot.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.BarbPlot.html b/dev/api/generated/metpy.plots.BarbPlot.html index 4ac9d0f0a03..dc6cab9c6da 100644 --- a/dev/api/generated/metpy.plots.BarbPlot.html +++ b/dev/api/generated/metpy.plots.BarbPlot.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.ColdFront.html b/dev/api/generated/metpy.plots.ColdFront.html index 0a3f2fb4bc8..d7ea9aec112 100644 --- a/dev/api/generated/metpy.plots.ColdFront.html +++ b/dev/api/generated/metpy.plots.ColdFront.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.ColdFrontogenesis.html b/dev/api/generated/metpy.plots.ColdFrontogenesis.html index 02875d9a233..5818371bfb4 100644 --- a/dev/api/generated/metpy.plots.ColdFrontogenesis.html +++ b/dev/api/generated/metpy.plots.ColdFrontogenesis.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.ColdFrontolysis.html b/dev/api/generated/metpy.plots.ColdFrontolysis.html index 23f00fde4db..b0cb6a6526c 100644 --- a/dev/api/generated/metpy.plots.ColdFrontolysis.html +++ b/dev/api/generated/metpy.plots.ColdFrontolysis.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.ContourPlot.html b/dev/api/generated/metpy.plots.ContourPlot.html index 243fb922622..201d057b62a 100644 --- a/dev/api/generated/metpy.plots.ContourPlot.html +++ b/dev/api/generated/metpy.plots.ContourPlot.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.Dryline.html b/dev/api/generated/metpy.plots.Dryline.html index 3575b62b2dc..6c37c5b1561 100644 --- a/dev/api/generated/metpy.plots.Dryline.html +++ b/dev/api/generated/metpy.plots.Dryline.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.FilledContourPlot.html b/dev/api/generated/metpy.plots.FilledContourPlot.html index cbeff19d4d9..e6621d71ab7 100644 --- a/dev/api/generated/metpy.plots.FilledContourPlot.html +++ b/dev/api/generated/metpy.plots.FilledContourPlot.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.Hodograph.html b/dev/api/generated/metpy.plots.Hodograph.html index 376fe74106e..22f9b58379f 100644 --- a/dev/api/generated/metpy.plots.Hodograph.html +++ b/dev/api/generated/metpy.plots.Hodograph.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.ImagePlot.html b/dev/api/generated/metpy.plots.ImagePlot.html index ef1315bbd70..930bc2072be 100644 --- a/dev/api/generated/metpy.plots.ImagePlot.html +++ b/dev/api/generated/metpy.plots.ImagePlot.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.MapPanel.html b/dev/api/generated/metpy.plots.MapPanel.html index cfafe87b25d..06fc2266b94 100644 --- a/dev/api/generated/metpy.plots.MapPanel.html +++ b/dev/api/generated/metpy.plots.MapPanel.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.OccludedFront.html b/dev/api/generated/metpy.plots.OccludedFront.html index 20a83557484..83824a453ff 100644 --- a/dev/api/generated/metpy.plots.OccludedFront.html +++ b/dev/api/generated/metpy.plots.OccludedFront.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.OccludedFrontogenesis.html b/dev/api/generated/metpy.plots.OccludedFrontogenesis.html index ff98409d956..085d2391831 100644 --- a/dev/api/generated/metpy.plots.OccludedFrontogenesis.html +++ b/dev/api/generated/metpy.plots.OccludedFrontogenesis.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.OccludedFrontolysis.html b/dev/api/generated/metpy.plots.OccludedFrontolysis.html index 615d4552c8b..66c498ef8f8 100644 --- a/dev/api/generated/metpy.plots.OccludedFrontolysis.html +++ b/dev/api/generated/metpy.plots.OccludedFrontolysis.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.PanelContainer.html b/dev/api/generated/metpy.plots.PanelContainer.html index 84aad3aa65b..d60fde7bdc5 100644 --- a/dev/api/generated/metpy.plots.PanelContainer.html +++ b/dev/api/generated/metpy.plots.PanelContainer.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.PlotGeometry.html b/dev/api/generated/metpy.plots.PlotGeometry.html index 132b83e8ef3..73206d49cdd 100644 --- a/dev/api/generated/metpy.plots.PlotGeometry.html +++ b/dev/api/generated/metpy.plots.PlotGeometry.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.PlotObs.html b/dev/api/generated/metpy.plots.PlotObs.html index 56d5ec1673c..bc84a79cd2a 100644 --- a/dev/api/generated/metpy.plots.PlotObs.html +++ b/dev/api/generated/metpy.plots.PlotObs.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.PlotScalar.html b/dev/api/generated/metpy.plots.PlotScalar.html index 5b5eebe6f06..e2bebcaa3dd 100644 --- a/dev/api/generated/metpy.plots.PlotScalar.html +++ b/dev/api/generated/metpy.plots.PlotScalar.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.PlotVector.html b/dev/api/generated/metpy.plots.PlotVector.html index f174a797f01..e79c237d1fd 100644 --- a/dev/api/generated/metpy.plots.PlotVector.html +++ b/dev/api/generated/metpy.plots.PlotVector.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.Plots2D.html b/dev/api/generated/metpy.plots.Plots2D.html index 59a3e1578f4..10feba6fa31 100644 --- a/dev/api/generated/metpy.plots.Plots2D.html +++ b/dev/api/generated/metpy.plots.Plots2D.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.RasterPlot.html b/dev/api/generated/metpy.plots.RasterPlot.html index 4c2cee3132c..41e1d1b4b02 100644 --- a/dev/api/generated/metpy.plots.RasterPlot.html +++ b/dev/api/generated/metpy.plots.RasterPlot.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.RidgeAxis.html b/dev/api/generated/metpy.plots.RidgeAxis.html index 91d25f67cfa..e948b137266 100644 --- a/dev/api/generated/metpy.plots.RidgeAxis.html +++ b/dev/api/generated/metpy.plots.RidgeAxis.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.ScallopedStroke.html b/dev/api/generated/metpy.plots.ScallopedStroke.html index c2656328e77..944290a2039 100644 --- a/dev/api/generated/metpy.plots.ScallopedStroke.html +++ b/dev/api/generated/metpy.plots.ScallopedStroke.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.SkewT.html b/dev/api/generated/metpy.plots.SkewT.html index 524e4067ca5..d47b98e57db 100644 --- a/dev/api/generated/metpy.plots.SkewT.html +++ b/dev/api/generated/metpy.plots.SkewT.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.Squall.html b/dev/api/generated/metpy.plots.Squall.html index 68046715daf..3e1ca3014bf 100644 --- a/dev/api/generated/metpy.plots.Squall.html +++ b/dev/api/generated/metpy.plots.Squall.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.StationPlot.html b/dev/api/generated/metpy.plots.StationPlot.html index 7fe113e67ab..bf4d7c2c907 100644 --- a/dev/api/generated/metpy.plots.StationPlot.html +++ b/dev/api/generated/metpy.plots.StationPlot.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.StationPlotLayout.html b/dev/api/generated/metpy.plots.StationPlotLayout.html index 7f050d941e4..09b197f3287 100644 --- a/dev/api/generated/metpy.plots.StationPlotLayout.html +++ b/dev/api/generated/metpy.plots.StationPlotLayout.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.StationaryFront.html b/dev/api/generated/metpy.plots.StationaryFront.html index df10b90e24c..df6d024f7cb 100644 --- a/dev/api/generated/metpy.plots.StationaryFront.html +++ b/dev/api/generated/metpy.plots.StationaryFront.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.StationaryFrontogenesis.html b/dev/api/generated/metpy.plots.StationaryFrontogenesis.html index 5f8ab49f240..489c5150d28 100644 --- a/dev/api/generated/metpy.plots.StationaryFrontogenesis.html +++ b/dev/api/generated/metpy.plots.StationaryFrontogenesis.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.StationaryFrontolysis.html b/dev/api/generated/metpy.plots.StationaryFrontolysis.html index 934c9821880..de29032c85f 100644 --- a/dev/api/generated/metpy.plots.StationaryFrontolysis.html +++ b/dev/api/generated/metpy.plots.StationaryFrontolysis.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.WarmFront.html b/dev/api/generated/metpy.plots.WarmFront.html index d9195f4ed29..40d3c307e6e 100644 --- a/dev/api/generated/metpy.plots.WarmFront.html +++ b/dev/api/generated/metpy.plots.WarmFront.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.WarmFrontogenesis.html b/dev/api/generated/metpy.plots.WarmFrontogenesis.html index 6a601008aac..11f5a9d747f 100644 --- a/dev/api/generated/metpy.plots.WarmFrontogenesis.html +++ b/dev/api/generated/metpy.plots.WarmFrontogenesis.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.WarmFrontolysis.html b/dev/api/generated/metpy.plots.WarmFrontolysis.html index 8d802f587e5..a8085d5212b 100644 --- a/dev/api/generated/metpy.plots.WarmFrontolysis.html +++ b/dev/api/generated/metpy.plots.WarmFrontolysis.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.add_metpy_logo.html b/dev/api/generated/metpy.plots.add_metpy_logo.html index 664ea43d09a..3185d414ef5 100644 --- a/dev/api/generated/metpy.plots.add_metpy_logo.html +++ b/dev/api/generated/metpy.plots.add_metpy_logo.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.add_timestamp.html b/dev/api/generated/metpy.plots.add_timestamp.html index 14f25438cca..5c6a59783a5 100644 --- a/dev/api/generated/metpy.plots.add_timestamp.html +++ b/dev/api/generated/metpy.plots.add_timestamp.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.add_unidata_logo.html b/dev/api/generated/metpy.plots.add_unidata_logo.html index 01802066789..29d23003b81 100644 --- a/dev/api/generated/metpy.plots.add_unidata_logo.html +++ b/dev/api/generated/metpy.plots.add_unidata_logo.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.convert_gempak_color.html b/dev/api/generated/metpy.plots.convert_gempak_color.html index d2b0349087a..6f55b78cd30 100644 --- a/dev/api/generated/metpy.plots.convert_gempak_color.html +++ b/dev/api/generated/metpy.plots.convert_gempak_color.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.ctables.ColortableRegistry.html b/dev/api/generated/metpy.plots.ctables.ColortableRegistry.html index 4b628dd5fe0..90eb7c132dc 100644 --- a/dev/api/generated/metpy.plots.ctables.ColortableRegistry.html +++ b/dev/api/generated/metpy.plots.ctables.ColortableRegistry.html @@ -75,7 +75,7 @@ - + diff --git a/dev/api/generated/metpy.plots.ctables.colortables.html b/dev/api/generated/metpy.plots.ctables.colortables.html index 3c00400321e..68f87bf5611 100644 --- a/dev/api/generated/metpy.plots.ctables.colortables.html +++ b/dev/api/generated/metpy.plots.ctables.colortables.html @@ -75,7 +75,7 @@ - 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+ @@ -745,7 +745,7 @@df (pandas.DataFrame
) – Data in pandas dataframe.
df (pandas.DataFrame
) – Data in pandas dataframe.
column_units (dict) – Dictionary of units to attach to columns of the dataframe. Overrides the units attribute if it is attached to the dataframe.
Total running time of the script: (0 minutes 0.248 seconds)
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Download Python source code: Advanced_Sounding.py
[<matplotlib.lines.Line2D object at 0x7ff80e1ad8d0>]
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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 0x7ff80e36add0>
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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 0x7ff80eddc390>
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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,
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Download Python source code: Advection.py
(<Quantity(21.9580223, 'knot')>, <Quantity(4.98986292, 'knot')>)
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Download Python source code: Bulk_Shear.py
11.3770989195134 degree_Celsius 52.47877805512405 degree_Fahrenheit
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Download Python source code: Dewpoint_and_Mixing_Ratio.py
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Download Python source code: Equivalent_Potential_Temperature.py
Total running time of the script: (0 minutes 0.015 seconds)
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Download Python source code: Gradient.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
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Download Python source code: Mountain_Problem.py
Total running time of the script: (0 minutes 0.174 seconds)
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Total running time of the script: (0 minutes 0.705 seconds)
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Download Python source code: Sounding_Calculations.py
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Total running time of the script: (0 minutes 0.009 seconds)
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Download Python source code: Static_Stability.py
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Download Python source code: Stretching_Deformation.py
Total running time of the script: (0 minutes 0.225 seconds)
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Download Python source code: Vorticity.py
Total running time of the script: (0 minutes 0.148 seconds)
+Total running time of the script: (0 minutes 0.142 seconds)
Download Python source code: Wind_Speed.py
00:02.969 total execution time for examples_calculations files:
+00:02.937 total execution time for examples_calculations files:
Smoothing ( |
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Sounding Calculation Examples ( |
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Vorticity ( |
-00:00.236 |
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Total Deformation ( |
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Absolute Vorticity ( |
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Stretching Deformation ( |
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Shearing Deformation ( |
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Absolute Vorticity ( |
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Total Deformation ( |
-00:00.225 |
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Vorticity ( |
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Stretching Deformation ( |
-00:00.222 |
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Shearing Deformation ( |
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Q-Vector ( |
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Divergence ( |
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Advection ( |
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Wind Speed ( |
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+00:00.142 |
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Equivalent Potential Temperature ( |
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Gradient ( |
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Bulk Shear ( |
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Hydrostatic Thickness ( |
@@ -545,15 +545,15 @@
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Static Stability ( |
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Mountain Problem ( |
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Dewpoint and Mixing Ratio ( |
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Angle to Direction ( |
diff --git a/dev/examples/cross_section.html b/dev/examples/cross_section.html
index c9135d39bcd..06b6c734ffa 100644
--- a/dev/examples/cross_section.html
+++ b/dev/examples/cross_section.html
@@ -75,7 +75,7 @@
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+
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NEXRAD Level 2 File ( |
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NEXRAD Level 3 File ( |
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GINI Water Vapor Imagery ( |
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Wind and Sea Level Pressure Interpolation ( |
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Point Interpolation ( |
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Natural Neighbor Verification ( |
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Inverse Distance Verification: Cressman and Barnes ( |
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Find Natural Neighbors Verification ( |
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Magnitude | [[[900.3412466141666 900.6282002263883 902.6954128823937 ... nan nan nan] |
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Units | hectopascal |
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Units | kelvin |
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Units | meter/second |
Magnitude | [[[0.0642331221271153 0.07479514517833352 -0.1683891955627046 ... nan |
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Units | meter/second |
Magnitude | [[[0.008842348434263434 0.00886783226841127 0.008968565810944629 ... nan |
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Units | dimensionless |
Magnitude | [[[1063.6606513260613 1061.4421473443138 1041.4938116153235 ... nan nan |
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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, @@ -1047,7 +1047,7 @@ 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, @@ -1056,7 +1056,7 @@ 5274.900136242699, 5307.363136242699, 5339.826136242698, 5372.289136242698, 5404.752136242698, 5437.215136242698, 5469.678136242697], - 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 14.334 seconds)
+Total running time of the script: (0 minutes 13.765 seconds)
Download Python source code: isentropic_example.py
Total running time of the script: (0 minutes 0.950 seconds)
+Total running time of the script: (0 minutes 0.902 seconds)
Download Python source code: meteogram_metpy.py
Total running time of the script: (0 minutes 7.705 seconds)
+Total running time of the script: (0 minutes 6.762 seconds)
Download Python source code: Combined_plotting.py
Total running time of the script: (0 minutes 0.292 seconds)
+Total running time of the script: (0 minutes 0.258 seconds)
Download Python source code: Hodograph_Inset.py
Total running time of the script: (0 minutes 17.392 seconds)
+Total running time of the script: (0 minutes 16.207 seconds)
Download Python source code: Mesonet_Stationplot.py
Total running time of the script: (0 minutes 7.894 seconds)
+Total running time of the script: (0 minutes 7.173 seconds)
Download Python source code: Plotting_Surface_Analysis.py
Total running time of the script: (0 minutes 0.131 seconds)
+Total running time of the script: (0 minutes 0.121 seconds)
Download Python source code: Simple_Fronts_Plot.py
<matplotlib.image.FigureImage object at 0x7ff80e03b290>
+<matplotlib.image.FigureImage object at 0x7fb14193c8d0>
# Example of defining your own vertical barb spacing
@@ -667,7 +667,7 @@
plt.show()
-Total running time of the script: (0 minutes 0.423 seconds)
+Total running time of the script: (0 minutes 0.399 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 b04b6c71302..8e0ac205b57 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 0.710 seconds)
+Total running time of the script: (0 minutes 0.695 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 2fa2ef90639..5380603bbe2 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 0.282 seconds)
+Total running time of the script: (0 minutes 0.248 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 bc819b84f5a..e0c8fc3ba07 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 0.255 seconds)
+Total running time of the script: (0 minutes 0.230 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 ee3eeac1bc2..bee5091e5c8 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 16.861 seconds)
+Total running time of the script: (0 minutes 15.368 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 0db9120e9b3..39ad6bfc076 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 2.079 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 7542c4a72d4..110cc5113fd 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 3.166 seconds)
+Total running time of the script: (0 minutes 2.905 seconds)
Download Python source code: US_Counties.py
diff --git a/dev/examples/plots/index.html b/dev/examples/plots/index.html
index 8f010cbb6b7..f2a6f0e2a64 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 16ba1a94b4f..50b3e040b5f 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 17.809 seconds)
+Total running time of the script: (0 minutes 16.587 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 6937d3d3544..831bf799e59 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
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- long_name :
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array(['1987-04-04T18:00:00.000000000'], dtype='datetime64[ns]')
- isobaric(isobaric)float641e+03 975.0 950.0 ... 125.0 100.0
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- hPa
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- down
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- 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
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- time(time)datetime64[ns]1987-04-04T18:00:00
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array(['1987-04-04T18:00:00.000000000'], dtype='datetime64[ns]')
- isobaric(isobaric)float641e+03 975.0 950.0 ... 125.0 100.0
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- 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.])
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@@ -1010,12 +1010,12 @@
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array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136,
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- x(x)float64-3.977e+03 -3.945e+03 ... 5.47e+03
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- _CoordinateAxisType :
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array([-3977.054864, -3944.591864, -3912.128864, ..., 5404.752136,
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- Temperature(time, isobaric, y, x)float32...
- units :
- K
- long_name :
- Temperature @ isobaric
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- Lambert_Conformal
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- 11
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- Lambert_Conformal()|S1...
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[34456 values with dtype=float64]
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- GRIB_param_name :
- u_wind
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- units :
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- Geopotential_height(time, isobaric, y, x)float32...
- units :
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- GRIB_param_name :
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- 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 1.067 seconds)
+Total running time of the script: (0 minutes 1.036 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 c324a26e1ab..a27b28446ff 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#
-01:28.877 total execution time for examples_plots files:
+01:21.554 total execution time for examples_plots files:
NOAA NHC Wind Speed Probabilities (nhc_wind_probabilities.py
)
-00:17.809
+00:16.587
0.0 MB
Mesonet Station Plot (Mesonet_Stationplot.py
)
-00:17.392
+00:16.207
0.0 MB
Station Plot (Station_Plot.py
)
-00:16.861
+00:15.368
0.0 MB
NOAA SPC Convective Outlook (spc_convective_outlook.py
)
-00:09.975
+00:09.201
0.0 MB
Plotting Fronts (Plotting_Surface_Analysis.py
)
-00:07.894
+00:07.173
0.0 MB
Combined Plotting (Combined_plotting.py
)
-00:07.705
+00:06.762
0.0 MB
US Counties (US_Counties.py
)
-00:03.166
+00:02.905
0.0 MB
Station Plot with Layout (Station_Plot_with_Layout.py
)
-00:02.079
+00:01.847
0.0 MB
Surface Analysis using Declarative Syntax (surface_declarative.py
)
-00:01.857
+00:01.624
0.0 MB
Raster Plots using Declarative Syntax (raster_declarative.py
)
-00:01.067
+00:01.036
0.0 MB
Upper Air Analysis using Declarative Syntax (upperair_declarative.py
)
-00:00.977
+00:00.894
0.0 MB
Simple Plotting (Simplified_Image_Plot.py
)
-00:00.710
+00:00.695
0.0 MB
Simple Sounding (Simple_Sounding.py
)
-00:00.423
+00:00.399
0.0 MB
Hodograph Inset (Hodograph_Inset.py
)
-00:00.292
+00:00.258
0.0 MB
Skew-T with Complex Layout (Skew-T_Layout.py
)
-00:00.282
+00:00.248
0.0 MB
Sounding as Dataset Example (Sounding_LCL_Dataset.py
)
-00:00.255
+00:00.230
0.0 MB
Simple Plotting of Fronts (Simple_Fronts_Plot.py
)
-00:00.131
+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 d0c56cae61e..13ccb575e7b 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 9.975 seconds)
+Total running time of the script: (0 minutes 9.201 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 d8221185247..4d9424c3e8f 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 1.857 seconds)
+Total running time of the script: (0 minutes 1.624 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 71607c13334..25a847f6b55 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 0.977 seconds)
+Total running time of the script: (0 minutes 0.894 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 68d0208493b..b137acc364c 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#
-01:02.261 total execution time for examples files:
+00:56.837 total execution time for examples files:
Isentropic Analysis (isentropic_example.py
)
-00:14.334
+00:13.765
0.0 MB
-Sigma to Pressure Interpolation (sigma_to_pressure_interpolation.py
)
-00:14.266
+XArray Projection Handling (XArray_Projections.py
)
+00:12.037
0.0 MB
-XArray Projection Handling (XArray_Projections.py
)
-00:13.271
+Sigma to Pressure Interpolation (sigma_to_pressure_interpolation.py
)
+00:11.686
0.0 MB
Four Panel Map (Four_Panel_Map.py
)
-00:11.833
+00:11.300
0.0 MB
Cross Section Analysis (cross_section.py
)
-00:06.496
+00:06.116
0.0 MB
Meteogram (meteogram_metpy.py
)
-00:00.950
+00:00.902
0.0 MB
Sounding Plot with Complex Layout (Complex-Sounding-Plot.py
)
-00:00.863
+00:00.814
0.0 MB
Advanced Sounding (Advanced_Sounding.py
)
-00:00.248
+00:00.218
0.0 MB
diff --git a/dev/examples/sigma_to_pressure_interpolation.html b/dev/examples/sigma_to_pressure_interpolation.html
index 3e914721d18..d0ac0527681 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 14.266 seconds)
+Total running time of the script: (0 minutes 11.686 seconds)
Download Python source code: sigma_to_pressure_interpolation.py
diff --git a/dev/genindex.html b/dev/genindex.html
index 0705e10fbbb..ea6be4f0821 100644
--- a/dev/genindex.html
+++ b/dev/genindex.html
@@ -72,7 +72,7 @@
-
+
diff --git a/dev/index.html b/dev/index.html
index 676e973af5a..e5f0667fd22 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 45efc98759b..392c1328e9e 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 c403c525608..b39c1d11573 100644
--- a/dev/search.html
+++ b/dev/search.html
@@ -74,7 +74,7 @@
-
+
diff --git a/dev/searchindex.js b/dev/searchindex.js
index 2e7440b0d28..cce283ebb91 100644
--- a/dev/searchindex.js
+++ b/dev/searchindex.js
@@ -1 +1 @@
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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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110, 119, 123, 130, 137, 138, 141, 192, 222, 226, 229, 263, 266, 286, 294, 295, 299, 304, 305, 306, 309], "system": [3, 6, 7, 12, 28, 38, 40, 41, 42, 51, 80, 81, 85, 97, 110, 119, 123, 130, 137, 141, 222, 225, 226, 277, 286, 299, 300, 305], "coriolis_paramet": [3, 303, 305, 310], "signatur": [3, 6, 7, 27, 28, 36, 38, 42, 46, 51, 56, 57, 66, 80, 81, 82, 84, 85, 88, 89, 90, 96, 97, 106, 110, 119, 130, 162, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 303, 305], "lat": [3, 12, 51, 80, 81, 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, 303, 305, 309], "dim_ord": [3, 7, 38, 81, 119, 303], "yx": [3, 7, 38, 81, 303], "pressur": [4, 5, 8, 9, 16, 17, 18, 19, 21, 23, 24, 25, 27, 29, 31, 32, 33, 35, 43, 44, 50, 52, 53, 54, 58, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 75, 76, 77, 79, 80, 82, 83, 84, 85, 87, 88, 89, 90, 92, 93, 94, 98, 99, 106, 108, 109, 112, 113, 115, 116, 117, 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, 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226, 228, 229, 230, 231, 237, 240, 241, 242, 248, 249, 251, 257, 258, 265, 271, 274, 275, 276, 277, 278, 280, 281, 282, 283, 286, 295, 299, 300, 301, 302, 303, 305, 306, 309, 310], "can": [8, 9, 11, 17, 29, 33, 34, 36, 43, 46, 48, 55, 56, 59, 63, 66, 68, 70, 80, 85, 86, 95, 96, 101, 102, 103, 104, 105, 117, 121, 136, 140, 142, 144, 147, 150, 157, 158, 159, 167, 170, 171, 175, 177, 179, 180, 184, 185, 186, 187, 188, 189, 190, 192, 193, 195, 196, 203, 205, 210, 211, 212, 222, 228, 229, 230, 231, 232, 236, 237, 238, 240, 241, 242, 243, 244, 247, 248, 249, 251, 257, 263, 265, 271, 274, 275, 276, 277, 278, 280, 281, 282, 283, 286, 290, 293, 294, 295, 296, 299, 300, 301, 302, 303, 305, 306, 307, 309, 310], "found": [8, 34, 161, 162, 164, 196, 208, 216, 226, 228, 235, 245, 264, 294, 296, 305, 309], "remark": [8, 166, 167, 296], "find": [8, 9, 19, 31, 34, 35, 45, 52, 53, 58, 59, 62, 64, 72, 121, 156, 168, 226, 230, 243, 265, 268, 269, 270, 286, 294, 302, 303, 305, 309], "help": [8, 9, 222, 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13, 14, 28, 30, 51, 55, 65, 68, 69, 79, 80, 81, 85, 92, 93, 108, 115, 116, 117, 122, 125, 126, 130, 138, 225, 305, 309], "wallac": [8, 225], "hobb": [8, 225], "1977": [8, 225], "29": [8, 18, 23, 31, 54, 59, 60, 62, 63, 64, 67, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 150, 162, 231, 257, 263, 287, 289, 295, 301, 309], "z_": 8, "r_": [8, 9, 68, 93], "d": [8, 9, 13, 14, 18, 32, 38, 92, 102, 109, 116, 117, 138, 142, 150, 160, 162, 163, 175, 177, 179, 187, 190, 196, 208, 222, 225, 226, 228, 232, 233, 234, 235, 239, 245, 246, 250, 252, 253, 254, 257, 258, 259, 264, 272, 276, 281, 286, 295, 296, 304, 305, 306, 309, 310], "bar": [8, 109, 305], "t_": [8, 9, 18, 32, 92], "g_0": [8, 39, 49], "ln": [8, 18, 32, 50, 92, 108, 116, 117, 295, 305], "p_": [8, 9, 61, 82, 99, 131], "h": [8, 17, 21, 81, 95, 109, 204, 225, 231, 232, 240, 242, 248, 257, 272, 274, 276, 280, 295, 300, 304, 305], "31": [8, 19, 94, 162, 263, 264, 272, 289, 295, 301, 309], "g": [8, 9, 13, 14, 18, 24, 27, 39, 47, 49, 50, 55, 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96, 119, 131, 140, 147, 148, 149, 159, 175, 177, 178, 179, 187, 190, 196, 208, 222, 223, 267, 296, 305], "mb": [9, 193, 230, 231, 238, 256, 262, 269, 272, 278, 288, 292, 295, 298, 299, 305], "altimeter_to_sea_level_pressur": 9, "smithsonian": [9, 225], "handbook": 9, "1951": [9, 225], "p": [9, 16, 17, 18, 21, 23, 24, 31, 32, 33, 50, 54, 59, 60, 61, 62, 63, 64, 65, 66, 68, 70, 71, 72, 75, 76, 79, 80, 82, 83, 84, 85, 92, 93, 98, 99, 108, 109, 115, 116, 117, 120, 122, 124, 145, 146, 151, 180, 193, 225, 230, 231, 237, 240, 242, 243, 248, 249, 251, 257, 272, 274, 278, 280, 281, 287, 295, 296, 299, 300, 303, 304, 305, 309], "269": [9, 301], "a_": 9, "h_": 9, "1013": [9, 88, 89, 303], "25": [9, 10, 18, 23, 31, 47, 54, 59, 60, 62, 63, 64, 65, 67, 71, 72, 75, 76, 84, 87, 88, 89, 93, 94, 98, 100, 108, 111, 116, 117, 120, 124, 129, 144, 146, 162, 203, 205, 231, 232, 241, 243, 257, 259, 263, 265, 271, 277, 281, 284, 286, 289, 291, 295, 296, 299, 301, 303, 309], "gamma": [9, 50, 83, 144, 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, 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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, 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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, 233, 238, 263, 271, 281, 287, 290, 292, 295, 298, 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, 271, 272, 273, 277, 284, 287, 290, 291, 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, 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, 238, 257, 259, 286, 287, 292, 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, 273, 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, 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, 271, 287, 291, 292, 293, 295, 296, 298, 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], "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, 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"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, 230, 292], "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, 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, 269, 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, 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, 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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
+Search.setIndex({"docnames": ["api/areas", "api/generated/metpy.calc", "api/generated/metpy.calc.absolute_momentum", "api/generated/metpy.calc.absolute_vorticity", "api/generated/metpy.calc.add_height_to_pressure", "api/generated/metpy.calc.add_pressure_to_height", "api/generated/metpy.calc.advection", "api/generated/metpy.calc.ageostrophic_wind", "api/generated/metpy.calc.altimeter_to_sea_level_pressure", "api/generated/metpy.calc.altimeter_to_station_pressure", "api/generated/metpy.calc.angle_to_direction", "api/generated/metpy.calc.apparent_temperature", "api/generated/metpy.calc.azimuth_range_to_lat_lon", "api/generated/metpy.calc.brunt_vaisala_frequency", "api/generated/metpy.calc.brunt_vaisala_frequency_squared", "api/generated/metpy.calc.brunt_vaisala_period", "api/generated/metpy.calc.bulk_shear", "api/generated/metpy.calc.bunkers_storm_motion", "api/generated/metpy.calc.cape_cin", "api/generated/metpy.calc.ccl", "api/generated/metpy.calc.coriolis_parameter", 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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, 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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], 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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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12, 16, 17, 18, 19, 21, 28, 29, 31, 36, 38, 40, 41, 42, 43, 44, 46, 51, 56, 57, 58, 59, 61, 62, 63, 64, 68, 71, 72, 75, 76, 77, 80, 81, 82, 85, 96, 97, 101, 102, 103, 104, 105, 109, 110, 112, 116, 117, 119, 123, 130, 131, 137, 140, 144, 145, 147, 148, 149, 151, 157, 158, 159, 170, 171, 175, 177, 178, 179, 187, 188, 190, 222, 223, 229, 231, 232, 247, 257, 264, 265, 266, 267, 272, 274, 280, 287, 293, 296, 301, 305], "space": [3, 6, 7, 28, 36, 38, 40, 41, 42, 46, 51, 56, 80, 81, 85, 86, 96, 97, 110, 119, 123, 130, 137, 144, 146, 172, 173, 174, 175, 176, 177, 179, 181, 182, 183, 187, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 222, 223, 225, 226, 241, 259, 264, 271, 277, 278, 303, 305], "": [3, 7, 10, 11, 17, 18, 23, 24, 28, 29, 31, 32, 34, 38, 39, 40, 41, 42, 43, 44, 48, 49, 50, 51, 54, 55, 59, 60, 62, 68, 73, 75, 76, 77, 80, 81, 83, 85, 92, 97, 100, 102, 104, 108, 109, 110, 111, 113, 119, 120, 123, 124, 125, 126, 127, 128, 129, 130, 132, 133, 136, 138, 140, 147, 159, 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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, 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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, 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, 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, 233, 247, 248, 257, 258, 259, 263, 265, 267, 271, 272, 275, 277, 281, 282, 283, 284, 286, 287, 289, 290, 291, 292, 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], "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, 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, 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, 292, 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, 295, 301, 309], "23": [18, 23, 31, 54, 59, 60, 62, 64, 71, 72, 75, 76, 98, 108, 116, 117, 120, 124, 162, 225, 235, 241, 257, 263, 282, 283, 286, 295, 301, 309], "9": [18, 23, 31, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 86, 98, 103, 108, 116, 117, 120, 124, 160, 162, 175, 177, 179, 187, 190, 225, 230, 231, 245, 247, 248, 249, 257, 264, 265, 271, 274, 276, 278, 280, 284, 286, 287, 289, 294, 295, 299, 300, 301, 305, 307, 309], "18": [18, 19, 23, 31, 32, 54, 59, 60, 62, 63, 64, 71, 72, 75, 76, 88, 89, 98, 107, 108, 116, 117, 120, 122, 124, 162, 225, 231, 257, 263, 266, 267, 271, 283, 287, 295, 301, 305, 307, 309], "4": [18, 19, 23, 31, 37, 54, 59, 60, 62, 63, 64, 67, 71, 72, 75, 76, 80, 84, 98, 102, 108, 116, 117, 120, 124, 138, 142, 160, 162, 175, 177, 179, 180, 187, 190, 194, 209, 225, 226, 231, 235, 237, 241, 245, 247, 248, 249, 257, 258, 259, 263, 264, 265, 266, 267, 271, 272, 275, 276, 281, 283, 286, 287, 289, 293, 295, 299, 301, 305, 309], "10": [18, 23, 24, 26, 27, 31, 54, 59, 60, 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, 262, 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, 267, 271, 272, 273, 275, 277, 281, 283, 286, 287, 289, 291, 295, 296, 299, 301, 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, 292, 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, 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, 269, 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, 257, 271, 287, 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, 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, 257, 259, 263, 266, 267, 283, 286, 295, 301, 309], "17": [19, 25, 75, 94, 162, 175, 177, 179, 187, 190, 225, 248, 257, 263, 266, 271, 283, 289, 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, 288, 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, 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, 280, 288], "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": 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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, 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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, 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, 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264, 275, 278, 282, 283, 296, 309], "place": [65, 93, 122, 193, 226, 265, 296, 299, 305, 309], "73": [65, 93, 162, 282, 283, 286, 295, 299], "part_press": [65, 303], "tot_press": [65, 93, 303], "9828362": 66, "adapt": [66, 99, 161], "w_": [66, 88, 89], "hydrostat": [66, 87, 116, 117, 125, 126, 231, 248, 255, 256, 270, 305], "sh": 67, "79286195": 67, "28919078": 67, "19818079": 67, "52741416": 67, "40192356": 67, "specific_humidity_from_mixing_ratio": 67, "salby1996": [67, 82, 89, 107, 225], "118": [67, 89, 107, 257, 271, 282, 283, 287], "essenti": [68, 167, 193, 216, 276, 301], "moist": [68, 69, 75, 76, 77, 132, 193, 225, 243, 300, 305], "pseudo": [68, 193, 305], "99716773": 68, "88545598": 68, "37637988": 68, "11086751": 68, "83": [68, 84, 231, 295], "33806983": 68, "dry_laps": [68, 75, 76, 77, 79, 115, 193, 243, 303], "differenti": [68, 162], "dt": [68, 125, 126, 161, 204, 232, 257, 258, 259, 272, 276], "l_v": [68, 69, 138], "come": [68, 134, 166, 167, 222, 228, 235, 243, 293, 296, 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"sthepac-south-e-pacific"]], "natlmed - N ATL/MEDITER": [[0, "natlmed-n-atl-mediter"]], "atlhur - ATLANTIC HURR": [[0, "atlhur-atlantic-hurr"]], "nam - N AMERICA": [[0, "nam-n-america"]], "sam - S AMERICA": [[0, "sam-s-america"]], "samps - S AMERICA (PS)": [[0, "samps-s-america-ps"]], "eur - EUROPE": [[0, "eur-europe"]], "natl - N ATLANTIC": [[0, "natl-n-atlantic"]], "watl - W ATLANTIC": [[0, "watl-w-atlantic"]], "tatl - TROPICAL ATLANTIC": [[0, "tatl-tropical-atlantic"]], "npac - N PACIFIC": [[0, "npac-n-pacific"]], "spac - S PACIFIC": [[0, "spac-s-pacific"]], "tpac - TROPICAL PACIFIC": [[0, "tpac-tropical-pacific"]], "epac - E PACIFIC": [[0, "epac-e-pacific"]], "wpac - W PACIFIC": [[0, "wpac-w-pacific"]], "mpac - MARINE PACIFIC": [[0, "mpac-marine-pacific"]], "americas - ICAO MERC AREA A": [[0, "americas-icao-merc-area-a"]], "atlantic - ICAO MERC AREA B1": [[0, "atlantic-icao-merc-area-b1"]], "africa - ICAO MERC AREA C": [[0, "africa-icao-merc-area-c"]], "indocean - ICAO MERC AREA D": [[0, "indocean-icao-merc-area-d"]], "oceania - ICAO MERC AREA E": [[0, "oceania-icao-merc-area-e"]], "trop_pac - ICAO MERC AREA F": [[0, "trop-pac-icao-merc-area-f"]], "asia_ps - ICAO P.S. AREA G": [[0, "asia-ps-icao-p-s-area-g"]], "na_ps - ICAO P.S. AREA H": [[0, "na-ps-icao-p-s-area-h"]], "npac_ps - ICAO P.S. AREA I": [[0, "npac-ps-icao-p-s-area-i"]], "antarctica - ICAO P.S. AREA J": [[0, "antarctica-icao-p-s-area-j"]], "europe - ICAO P.S. AREA EU": [[0, "europe-icao-p-s-area-eu"]], "middle_east - ICAO MERC AREA ME": [[0, "middle-east-icao-merc-area-me"]], "india - ICAO MERC AREA AS": [[0, "india-icao-merc-area-as"]], "ag - ARGENTINA": [[0, "ag-argentina"]], "ah - AFGHANISTAN": [[0, "ah-afghanistan"]], "afrca - AFRICA": [[0, "afrca-africa"]], "ai - ASCENSION ISLAND": [[0, "ai-ascension-island"]], "alba - ALBANIA": [[0, "alba-albania"]], "alge - ALGERIA": [[0, "alge-algeria"]], "an - ANGOLA": [[0, "an-angola"]], "antl - LESSER ANTILLES": [[0, "antl-lesser-antilles"]], "antg - GREATER ANTILLES": [[0, "antg-greater-antilles"]], "atg - ANTIGUA & BARBUDA": [[0, "atg-antigua-barbuda"]], "au - AUSTRALIA": [[0, "au-australia"]], "azor - AZORES": [[0, "azor-azores"]], "ba - BAHAMAS": [[0, "ba-bahamas"]], "be - BERMUDA": [[0, "be-bermuda"]], "bel - BELGIUM": [[0, "bel-belgium"]], "bf - BRUNEI": [[0, "bf-brunei"]], "bfa - BURKINA FASO": [[0, "bfa-burkina-faso"]], "bh - BELIZE": [[0, "bh-belize"]], "bi - BURUNDI": [[0, "bi-burundi"]], "bj - BENIN": [[0, "bj-benin"]], "bn - BAHRAIN": [[0, "bn-bahrain"]], "bo - BOLIVIA": [[0, "bo-bolivia"]], "bots - BOTSWANA": [[0, "bots-botswana"]], "br - BARBADOS": [[0, "br-barbados"]], "bt - BRITISH INDIAN OC": [[0, "bt-british-indian-oc"]], "bu - BULGARIA": [[0, "bu-bulgaria"]], "bv - BOUVET ISLANDS": [[0, "bv-bouvet-islands"]], "bw - BANGLADESH": [[0, "bw-bangladesh"]], "by - BYELORUSSIA": [[0, "by-byelorussia"]], "bz - BRAZIL": [[0, "bz-brazil"]], "cais - CANTON ISLAND": [[0, "cais-canton-island"]], "nwcar - NWX CARIBBEAN": [[0, "nwcar-nwx-caribbean"]], "cari - CARIBBEAN": [[0, "cari-caribbean"]], "cb - CHAD": [[0, "cb-chad"]], "ce - CENTRAL AFRICA": [[0, "ce-central-africa"]], "cg - CONGO": [[0, "cg-congo"]], "ch - CHILE": [[0, "ch-chile"]], "ci - CHINA": [[0, "ci-china"]], "cm - CAMEROON": [[0, "cm-cameroon"]], "colm - COLUMBIA": [[0, "colm-columbia"]], "cr - CANARY ISLANDS": [[0, "cr-canary-islands"]], "cs - COSTA RICA": [[0, "cs-costa-rica"]], "cu - CUBA": [[0, "cu-cuba"]], "cv - CAPE VERDE ISLAND": [[0, "cv-cape-verde-island"]], "cy - CYPRUS": [[0, "cy-cyprus"]], "cz - CZECH REPUBLIC": [[0, "cz-czech-republic"]], "dj - DJIBOUTI": [[0, "dj-djibouti"]], "dl - GERMANY": [[0, "dl-germany"]], "dn - DENMARK": [[0, "dn-denmark"]], "do - DOMINICA": [[0, "do-dominica"]], "dr - DOMINICAN REPUBLIC": [[0, "dr-dominican-republic"]], "eg - EGYPT": [[0, "eg-egypt"]], "eq - ECUADOR": [[0, "eq-ecuador"]], "er - UAE": [[0, "er-uae"]], "es - EL SALVADOR": [[0, "es-el-salvador"]], "et - ETHIOPIA": [[0, "et-ethiopia"]], "fa - FAEROES": [[0, "fa-faeroes"]], "fg - FRENCH GUIANA": [[0, "fg-french-guiana"]], "fi - FINLAND": [[0, "fi-finland"]], "fj - FIJI ISLANDS": [[0, "fj-fiji-islands"]], "fk - FALKLAND ISLANDS": [[0, "fk-falkland-islands"]], "fn - NIGER": [[0, "fn-niger"]], "fr - FRANCE": [[0, "fr-france"]], "gb - GAMBIA": [[0, "gb-gambia"]], "gc - CAYMAN ISLANDS": [[0, "gc-cayman-islands"]], "gh - GHANA": [[0, "gh-ghana"]], "gi - GIBRALTAR": [[0, "gi-gibraltar"]], "gl - GREENLAND": [[0, "gl-greenland"]], "glp - GUADALOUPE": [[0, "glp-guadaloupe"]], "gm - GUAM": [[0, "gm-guam"]], "gn - GUINEA": [[0, "gn-guinea"]], "go - GABON": [[0, "go-gabon"]], "gr - GREECE": [[0, "gr-greece"]], "gu - GUATEMALA": [[0, "gu-guatemala"]], "gw - GUINEA-BISSAU": [[0, "gw-guinea-bissau"]], "gy - GUYANA": [[0, "gy-guyana"]], "ha - HAITI": [[0, "ha-haiti"]], "he - ST HELENA": [[0, "he-st-helena"]], "hk - HONG KONG": [[0, "hk-hong-kong"]], "ho - HONDURAS": [[0, "ho-honduras"]], "hu - HUNGARY": [[0, "hu-hungary"]], "ic - COMOROS": [[0, "ic-comoros"]], "icel - ICELAND": [[0, "icel-iceland"]], "ie - IRELAND": [[0, "ie-ireland"]], "inda - INDIA": [[0, "inda-india"]], "indo - INDONESIA": [[0, "indo-indonesia"]], "iq - IRAQ": [[0, "iq-iraq"]], "ir - IRAN": [[0, "ir-iran"]], "is - ISRAEL": [[0, "is-israel"]], "iv - IVORY COAST": [[0, "iv-ivory-coast"]], "iw - WEST BANK": [[0, "iw-west-bank"]], "iy - ITALY": [[0, "iy-italy"]], "jd - JORDAN": [[0, "jd-jordan"]], "jm - JAMAICA": [[0, "jm-jamaica"]], "jp - JAPAN": [[0, "jp-japan"]], "ka - CAROLINE ISLANDS": [[0, "ka-caroline-islands"]], "kash - JAMMU & KASHMIR": [[0, "kash-jammu-kashmir"]], "kb - KIRIBATI": [[0, "kb-kiribati"]], "khm - CAMBODIA": [[0, "khm-cambodia"]], "ki - CHRISTMAS ISLAND": [[0, "ki-christmas-island"]], "kn - KENYA": [[0, "kn-kenya"]], "kna - ST KITTS & NEVIS": [[0, "kna-st-kitts-nevis"]], "ko - KOREA": [[0, "ko-korea"]], "ku - COOK ISLANDS": [[0, "ku-cook-islands"]], "kw - KUWAIT": [[0, "kw-kuwait"]], "laos - LAOS": [[0, "laos-laos"]], "lb - LEBANON": [[0, "lb-lebanon"]], "lc - ST LUCIA": [[0, "lc-st-lucia"]], "li - LIBERIA": [[0, "li-liberia"]], "ln - LINE ISLANDS": [[0, "ln-line-islands"]], "ls - LESOTHO": [[0, "ls-lesotho"]], "lt - LIECHTENSTEIN": [[0, "lt-liechtenstein"]], "lux - LUXEMBOURG": [[0, "lux-luxembourg"]], "ly - LIBYA": [[0, "ly-libya"]], "maar - ST MAARTEN": [[0, "maar-st-maarten"]], "made - MADEIRA": [[0, "made-madeira"]], "mala - MALAYSIA": [[0, "mala-malaysia"]], "mali - MALI": [[0, "mali-mali"]], "maur - MAURITIUS": [[0, "maur-mauritius"]], "maut - MAURITANIA": [[0, "maut-mauritania"]], "mc - MOROCCO": [[0, "mc-morocco"]], "mg - MADAGASCAR": [[0, "mg-madagascar"]], "mh - MARSHALL ISLANDS": [[0, "mh-marshall-islands"]], "ml - MALTA": [[0, "ml-malta"]], "mmr - MYANMAR": [[0, "mmr-myanmar"]], "mong - MONGOLIA": [[0, "mong-mongolia"]], "mr - MARTINIQUE": [[0, "mr-martinique"]], "mu - MACAO": [[0, "mu-macao"]], "mv - MALDIVE ISLANDS": [[0, "mv-maldive-islands"]], "mw - MALAWI": [[0, "mw-malawi"]], "mx - MEXICO": [[0, "mx-mexico"]], "my - MARIANNA ISLANDS": [[0, "my-marianna-islands"]], "mz - MOZAMBIQUE": [[0, "mz-mozambique"]], "nama - NAMIBIA": [[0, "nama-namibia"]], "ncal - NEW CALEDONIA": [[0, "ncal-new-caledonia"]], "ng - NEW GUINEA": [[0, "ng-new-guinea"]], "ni - NIGERIA": [[0, "ni-nigeria"]], "nk - NICARAGUA": [[0, "nk-nicaragua"]], "nl - NETHERLANDS": [[0, "nl-netherlands"]], "no - NORWAY": [[0, "no-norway"]], "np - NEPAL": [[0, "np-nepal"]], "nw - NAURU": [[0, "nw-nauru"]], "nz - NEW ZEALAND": [[0, "nz-new-zealand"]], "om - OMAN": [[0, "om-oman"]], "os - AUSTRIA": [[0, "os-austria"]], "pf - FRENCH POLYNESIA": [[0, "pf-french-polynesia"]], "ph - PHILIPINES": [[0, "ph-philipines"]], "pi - PHOENIX ISLANDS": [[0, "pi-phoenix-islands"]], "pk - PAKISTAN": [[0, "pk-pakistan"]], "pl - POLAND": [[0, "pl-poland"]], "pm - PANAMA": [[0, "pm-panama"]], "po - PORTUGAL": [[0, "po-portugal"]], "pr - PERU": [[0, "pr-peru"]], "pt - PITCAIRN ISLANDS": [[0, "pt-pitcairn-islands"]], "pu - PUERTO RICO": [[0, "pu-puerto-rico"]], "py - PARAGUAY": [[0, "py-paraguay"]], "qg - EQUATORIAL GUINEA": [[0, "qg-equatorial-guinea"]], "qt - QATAR": [[0, "qt-qatar"]], "ra - RUSSIA": [[0, "ra-russia"]], "re - REUNION": [[0, "re-reunion"]], "riro - RIO DE ORO": [[0, "riro-rio-de-oro"]], "ro - ROMANIA": [[0, "ro-romania"]], "rw - RWANDA": [[0, "rw-rwanda"]], "saudi - SAUDI ARABIA": [[0, "saudi-saudi-arabia"]], "sb - SRI LANKA": [[0, "sb-sri-lanka"]], "seyc - SEYCHELLES ISLANDS": [[0, "seyc-seychelles-islands"]], "sg - SENEGAL": [[0, "sg-senegal"]], "si - SOMALIA": [[0, "si-somalia"]], "sk - SARAWAK": [[0, "sk-sarawak"]], "sl - SIERRA LEONE": [[0, "sl-sierra-leone"]], "sm - SURINAME": [[0, "sm-suriname"]], "sn - SWEDEN": [[0, "sn-sweden"]], "so - SOLOMON ISLANDS": [[0, "so-solomon-islands"]], "sp - SPAIN": [[0, "sp-spain"]], "sr - SINGAPORE": [[0, "sr-singapore"]], "su - SUDAN": [[0, "su-sudan"]], "sv - SWAZILAND": [[0, "sv-swaziland"]], "sw - SWITZERLAND": [[0, "sw-switzerland"]], "sy - SYRIA": [[0, "sy-syria"]], "tanz - TANZANIA": [[0, "tanz-tanzania"]], "td - TRINIDAD & TOBAGO": [[0, "td-trinidad-tobago"]], "tg - TOGO": [[0, "tg-togo"]], "th - THAILAND": [[0, "th-thailand"]], "ti - TURKS ISLANDS": [[0, "ti-turks-islands"]], "tk - TOKELAU ISLANDS": [[0, "tk-tokelau-islands"]], "to - TONGA": [[0, "to-tonga"]], "tp - SAO TOME-PRINCIPE": [[0, "tp-sao-tome-principe"]], "ts - TUNISIA": [[0, "ts-tunisia"]], "tu - TURKEY": [[0, "tu-turkey"]], "tv - TUVALU": [[0, "tv-tuvalu"]], "tw - TAIWAN": [[0, "tw-taiwan"]], "ug - UGANDA": [[0, "ug-uganda"]], "uk - UNITED KINGDOM": [[0, "uk-united-kingdom"]], "ur - UKRAINE": [[0, "ur-ukraine"]], "uy - URUGUAY": [[0, "uy-uruguay"]], "vanu - VANUATU": [[0, "vanu-vanuatu"]], "vi - VIRGIN ISLANDS": [[0, "vi-virgin-islands"]], "vk - SLOVAKIA": [[0, "vk-slovakia"]], "vn - VENEZUELA": [[0, "vn-venezuela"]], "vs - VIETNAM": [[0, "vs-vietnam"]], "wk - WAKE ISLAND": [[0, "wk-wake-island"]], "ye - YEMEN": [[0, "ye-yemen"]], "yg - YUGOSLAVIA": [[0, "yg-yugoslavia"]], "za - SOUTH AFRICA": [[0, "za-south-africa"]], "zb - ZAMBIA": [[0, "zb-zambia"]], "zm - WESTERN SAMOA": [[0, "zm-western-samoa"]], "zr - ZAIRE": [[0, "zr-zaire"]], "zw - ZIMBABWE": [[0, "zw-zimbabwe"]], "Calculations (metpy.calc)": [[1, "module-metpy.calc"]], "Dry Thermodynamics": [[1, "dry-thermodynamics"]], "Moist Thermodynamics": [[1, "moist-thermodynamics"]], "Soundings": [[1, "soundings"]], "Dynamic/Kinematic": [[1, "dynamic-kinematic"]], "Boundary Layer/Turbulence": [[1, "boundary-layer-turbulence"]], "Mathematical Functions": [[1, "mathematical-functions"]], "Apparent Temperature": [[1, "apparent-temperature"]], "Standard Atmosphere": [[1, "standard-atmosphere"]], "Smoothing": [[1, "smoothing"], [247, "smoothing"]], "Other": [[1, "other"]], "absolute_momentum": [[2, "absolute-momentum"]], "absolute_vorticity": [[3, "absolute-vorticity"]], "Examples using metpy.calc.absolute_vorticity": [[3, "examples-using-metpy-calc-absolute-vorticity"]], "add_height_to_pressure": [[4, "add-height-to-pressure"]], "add_pressure_to_height": [[5, "add-pressure-to-height"]], "advection": [[6, "advection"]], "Examples using metpy.calc.advection": [[6, "examples-using-metpy-calc-advection"]], "ageostrophic_wind": [[7, "ageostrophic-wind"]], "altimeter_to_sea_level_pressure": [[8, "altimeter-to-sea-level-pressure"]], "altimeter_to_station_pressure": [[9, "altimeter-to-station-pressure"]], "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, 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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 aad29c6b22e..14fa1e34513 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 13.662 seconds)
+Total running time of the script: (0 minutes 12.295 seconds)
Download Python source code: area_tutorial.py
diff --git a/dev/tutorials/declarative_tutorial.html b/dev/tutorials/declarative_tutorial.html
index e92d83784e0..a913b423b53 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 14.308 seconds)
+Total running time of the script: (0 minutes 12.669 seconds)
Download Python source code: declarative_tutorial.py
diff --git a/dev/tutorials/index.html b/dev/tutorials/index.html
index 267f4ae0484..25a3bf02f5b 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 10c4930445b..681b95e4b75 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#
-00:33.086 total execution time for tutorials files:
+00:30.050 total execution time for tutorials files: