pyart.retrieveconv_strat_yuter(grid[, dx, dy, level_m, ...])
|
Partition reflectivity into convective-stratiform using the Yuter et al. (2005) and Yuter and Houze (1997) algorithm. |
-create_cfad(radar, field_bins, altitude_bins)
|
+
create_cappi(radar[, fields, height, ...])
|
+Create a Constant Altitude Plan Position Indicator (CAPPI) from radar data. |
+
+create_cfad(radar, field_bins, altitude_bins)
|
This function returns a Contoured Frequency by Altitude Diagram (CFAD; Yuter et al. 1995), a 2-dimensional histogram that is normalized by the number of points at each altitude. |
-dealias_spectra(the_spectra, vel_bins, ...)
|
+
dealias_spectra(the_spectra, vel_bins, ...)
|
Dealias a spectra. |
-est_rain_rate_a(radar[, alpha, beta, ...])
|
+
est_rain_rate_a(radar[, alpha, beta, ...])
|
Estimates rainfall rate from specific attenuation using alpha power law. |
-est_rain_rate_hydro(radar[, alphazr, ...])
|
+
est_rain_rate_hydro(radar[, alphazr, ...])
|
Estimates rainfall rate using different relations between R and the polarimetric variables depending on the hydrometeor type. |
-est_rain_rate_kdp(radar[, alpha, beta, ...])
|
+
est_rain_rate_kdp(radar[, alpha, beta, ...])
|
Estimates rainfall rate from kdp using alpha power law. |
-est_rain_rate_z(radar[, alpha, beta, ...])
|
+
est_rain_rate_z(radar[, alpha, beta, ...])
|
Estimates rainfall rate from reflectivity using a power law. |
-est_rain_rate_za(radar[, alphaz, betaz, ...])
|
+
est_rain_rate_za(radar[, alphaz, betaz, ...])
|
Estimates rainfall rate from a blending of power law r-alpha and r-z relations. |
-est_rain_rate_zkdp(radar[, alphaz, betaz, ...])
|
+
est_rain_rate_zkdp(radar[, alphaz, betaz, ...])
|
Estimates rainfall rate from a blending of power law r-kdp and r-z relations. |
-est_rain_rate_zpoly(radar[, refl_field, ...])
|
+
est_rain_rate_zpoly(radar[, refl_field, ...])
|
Estimates rainfall rate from reflectivity using a polynomial Z-R relation developed at McGill University. |
-feature_detection(grid[, dx, dy, level_m, ...])
|
+
feature_detection(grid[, dx, dy, level_m, ...])
|
This function can be used to detect features in a field (e.g. |
-fetch_radar_time_profile(sonde_dset, radar)
|
+
fetch_radar_time_profile(sonde_dset, radar)
|
Extract the correct profile from a interpolated sonde. |
-get_freq_band(freq)
|
+
get_freq_band(freq)
|
Returns the frequency band name (S, C, X, ...). |
-grid_displacement_pc(grid1, grid2, field, level)
|
+
grid_displacement_pc(grid1, grid2, field, level)
|
Calculate the grid displacement using phase correlation. |
-grid_shift(grid, advection[, trim_edges, ...])
|
+
grid_shift(grid, advection[, trim_edges, ...])
|
Shift a grid by a certain number of pixels. |
-hydroclass_semisupervised(radar[, ...])
|
+
hydroclass_semisupervised(radar[, ...])
|
Classifies precipitation echoes into hydrometeor types. |
-kdp_maesaka(radar[, gatefilter, method, ...])
|
+
kdp_maesaka(radar[, gatefilter, method, ...])
|
Compute the specific differential phase (KDP) from corrected (e.g., unfolded) total differential phase data based on the variational method outlined in Maesaka et al. (2012). |
-kdp_schneebeli(radar[, gatefilter, ...])
|
+
kdp_schneebeli(radar[, gatefilter, ...])
|
Estimates Kdp with the Kalman filter method by Schneebeli and al. |
-kdp_vulpiani(radar[, gatefilter, ...])
|
+
kdp_vulpiani(radar[, gatefilter, ...])
|
Estimates Kdp with the Vulpiani method for a 2D array of psidp measurements with the first dimension being the distance from radar and the second dimension being the angles (azimuths for PPI, elev for RHI).The input psidp is assumed to be pre-filtered (for ex. |
-map_profile_to_gates(profile, heights, radar)
|
+
map_profile_to_gates(profile, heights, radar)
|
Given a profile of a variable map it to the gates of radar assuming 4/3Re. |
-quasi_vertical_profile(radar[, ...])
|
+
quasi_vertical_profile(radar[, ...])
|
Quasi Vertical Profile. |
-spectra_moments(radar)
|
+
spectra_moments(radar)
|
Retrieves the radar moments using a spectra radar object. |
-steiner_conv_strat(grid[, dx, dy, intense, ...])
|
+
steiner_conv_strat(grid[, dx, dy, intense, ...])
|
Partition reflectivity into convective-stratiform using the Steiner et al. (1995) algorithm. |
-texture_of_complex_phase(radar[, ...])
|
+
texture_of_complex_phase(radar[, ...])
|
Calculate the texture of the differential phase field. |
-vad_browning(radar, velocity[, z_want, ...])
|
+
vad_browning(radar, velocity[, z_want, ...])
|
Velocity azimuth display. |
-vad_michelson(radar[, vel_field, z_want, ...])
|
+
vad_michelson(radar[, vel_field, z_want, ...])
|
Velocity azimuth display. |
diff --git a/API/generated/pyart.retrieve.hydroclass_semisupervised.html b/API/generated/pyart.retrieve.hydroclass_semisupervised.html
index 864887521c..2c89431fdc 100644
--- a/API/generated/pyart.retrieve.hydroclass_semisupervised.html
+++ b/API/generated/pyart.retrieve.hydroclass_semisupervised.html
@@ -670,6 +670,7 @@
diff --git a/_sources/examples/io/plot_nexrad_data_aws.rst.txt b/_sources/examples/io/plot_nexrad_data_aws.rst.txt
index 47908acbcf..9ff31a6c89 100644
--- a/_sources/examples/io/plot_nexrad_data_aws.rst.txt
+++ b/_sources/examples/io/plot_nexrad_data_aws.rst.txt
@@ -116,7 +116,7 @@ Let's take a look at a summary of what fields are available.
.. code-block:: none
- ['spectrum_width', 'differential_phase', 'clutter_filter_power_removed', 'differential_reflectivity', 'reflectivity', 'velocity', 'cross_correlation_ratio']
+ ['reflectivity', 'differential_phase', 'velocity', 'clutter_filter_power_removed', 'spectrum_width', 'cross_correlation_ratio', 'differential_reflectivity']
@@ -314,7 +314,7 @@ Note: the reflectivity and velocity fields are in different radars, so we need t
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 41.655 seconds)
+ **Total running time of the script:** (0 minutes 14.564 seconds)
.. _sphx_glr_download_examples_io_plot_nexrad_data_aws.py:
diff --git a/_sources/examples/io/plot_older_nexrad_data_aws.rst.txt b/_sources/examples/io/plot_older_nexrad_data_aws.rst.txt
index bd141106af..b50384cf3b 100644
--- a/_sources/examples/io/plot_older_nexrad_data_aws.rst.txt
+++ b/_sources/examples/io/plot_older_nexrad_data_aws.rst.txt
@@ -227,7 +227,7 @@ Everything now looks correct as this is in Handford CA!
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 9.145 seconds)
+ **Total running time of the script:** (0 minutes 8.521 seconds)
.. _sphx_glr_download_examples_io_plot_older_nexrad_data_aws.py:
diff --git a/_sources/examples/io/sg_execution_times.rst.txt b/_sources/examples/io/sg_execution_times.rst.txt
index 9cb0ebc093..21bd666ca1 100644
--- a/_sources/examples/io/sg_execution_times.rst.txt
+++ b/_sources/examples/io/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**00:50.800** total execution time for 2 files **from examples/io**:
+**00:23.085** total execution time for 2 files **from examples/io**:
.. container::
@@ -33,8 +33,8 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_examples_io_plot_nexrad_data_aws.py` (``plot_nexrad_data_aws.py``)
- - 00:41.655
+ - 00:14.564
- 0.0
* - :ref:`sphx_glr_examples_io_plot_older_nexrad_data_aws.py` (``plot_older_nexrad_data_aws.py``)
- - 00:09.145
+ - 00:08.521
- 0.0
diff --git a/_sources/examples/mapping/plot_compare_two_radars_gatemapper.rst.txt b/_sources/examples/mapping/plot_compare_two_radars_gatemapper.rst.txt
index cba248c4b6..fd112a7841 100644
--- a/_sources/examples/mapping/plot_compare_two_radars_gatemapper.rst.txt
+++ b/_sources/examples/mapping/plot_compare_two_radars_gatemapper.rst.txt
@@ -354,7 +354,7 @@ case where our scans don't neccessarily match exactly in time.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 36.133 seconds)
+ **Total running time of the script:** (0 minutes 36.124 seconds)
.. _sphx_glr_download_examples_mapping_plot_compare_two_radars_gatemapper.py:
diff --git a/_sources/examples/mapping/plot_grid_single_sweep_ppi.rst.txt b/_sources/examples/mapping/plot_grid_single_sweep_ppi.rst.txt
index eed0f1f226..347c1cf171 100644
--- a/_sources/examples/mapping/plot_grid_single_sweep_ppi.rst.txt
+++ b/_sources/examples/mapping/plot_grid_single_sweep_ppi.rst.txt
@@ -187,7 +187,7 @@ negligible at low elevation angles common to PPI sweeps.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 6.131 seconds)
+ **Total running time of the script:** (0 minutes 5.911 seconds)
.. _sphx_glr_download_examples_mapping_plot_grid_single_sweep_ppi.py:
diff --git a/_sources/examples/mapping/plot_map_one_radar_to_grid.rst.txt b/_sources/examples/mapping/plot_map_one_radar_to_grid.rst.txt
index 569027d5ae..6ab62c3e74 100644
--- a/_sources/examples/mapping/plot_map_one_radar_to_grid.rst.txt
+++ b/_sources/examples/mapping/plot_map_one_radar_to_grid.rst.txt
@@ -82,7 +82,7 @@ Cartesian grid.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (1 minutes 15.734 seconds)
+ **Total running time of the script:** (0 minutes 5.846 seconds)
.. _sphx_glr_download_examples_mapping_plot_map_one_radar_to_grid.py:
diff --git a/_sources/examples/mapping/plot_map_two_radars_to_grid.rst.txt b/_sources/examples/mapping/plot_map_two_radars_to_grid.rst.txt
index dcbd8bdc14..8bbd131626 100644
--- a/_sources/examples/mapping/plot_map_two_radars_to_grid.rst.txt
+++ b/_sources/examples/mapping/plot_map_two_radars_to_grid.rst.txt
@@ -90,7 +90,7 @@ coordinates to a Cartesian grid.
.. rst-class:: sphx-glr-timing
- **Total running time of the script:** (0 minutes 14.387 seconds)
+ **Total running time of the script:** (0 minutes 9.982 seconds)
.. _sphx_glr_download_examples_mapping_plot_map_two_radars_to_grid.py:
diff --git a/_sources/examples/mapping/sg_execution_times.rst.txt b/_sources/examples/mapping/sg_execution_times.rst.txt
index 6e8b6eb490..e6d48f1f0a 100644
--- a/_sources/examples/mapping/sg_execution_times.rst.txt
+++ b/_sources/examples/mapping/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
Computation times
=================
-**02:12.384** total execution time for 4 files **from examples/mapping**:
+**00:57.862** total execution time for 4 files **from examples/mapping**:
.. container::
@@ -32,15 +32,15 @@ Computation times
* - Example
- Time
- Mem (MB)
- * - :ref:`sphx_glr_examples_mapping_plot_map_one_radar_to_grid.py` (``plot_map_one_radar_to_grid.py``)
- - 01:15.734
- - 0.0
* - :ref:`sphx_glr_examples_mapping_plot_compare_two_radars_gatemapper.py` (``plot_compare_two_radars_gatemapper.py``)
- - 00:36.133
+ - 00:36.124
- 0.0
* - :ref:`sphx_glr_examples_mapping_plot_map_two_radars_to_grid.py` (``plot_map_two_radars_to_grid.py``)
- - 00:14.387
+ - 00:09.982
- 0.0
* - :ref:`sphx_glr_examples_mapping_plot_grid_single_sweep_ppi.py` (``plot_grid_single_sweep_ppi.py``)
- - 00:06.131
+ - 00:05.911
+ - 0.0
+ * - :ref:`sphx_glr_examples_mapping_plot_map_one_radar_to_grid.py` (``plot_map_one_radar_to_grid.py``)
+ - 00:05.846
- 0.0
diff --git a/_sources/examples/plotting/index.rst.txt b/_sources/examples/plotting/index.rst.txt
index 1d3bab6095..fdcf5d6b4b 100644
--- a/_sources/examples/plotting/index.rst.txt
+++ b/_sources/examples/plotting/index.rst.txt
@@ -136,6 +136,23 @@ Plotting real world radar data with Py-ART.
+.. raw:: html
+
+