From 9b24fab2d542c8a5808399b979d23edfebb4e1e1 Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Tue, 30 Apr 2024 09:06:33 -0500 Subject: [PATCH 01/12] reformated, tests working --- pyart/retrieve/echo_class.py | 19 +++++++------------ 1 file changed, 7 insertions(+), 12 deletions(-) diff --git a/pyart/retrieve/echo_class.py b/pyart/retrieve/echo_class.py index a084597171..3cf2239bcc 100644 --- a/pyart/retrieve/echo_class.py +++ b/pyart/retrieve/echo_class.py @@ -609,6 +609,7 @@ def hydroclass_semisupervised( kdp_field=None, temp_field=None, hydro_field=None, + radar_freq=None, ): """ Classifies precipitation echoes following the approach by Besic et al @@ -668,21 +669,15 @@ def hydroclass_semisupervised( # select the centroids as a function of frequency band if mass_centers is None: # assign coefficients according to radar frequency - if radar.instrument_parameters is not None: - if "frequency" in radar.instrument_parameters: - mass_centers = _get_mass_centers( - radar.instrument_parameters["frequency"]["data"][0] - ) - else: - mass_centers = _mass_centers_table()["C"] - warn( - "Radar frequency unknown. " - "Default coefficients for C band will be applied." - ) + if radar.instrument_parameters and "frequency" in radar.instrument_parameters: + frequency = radar.instrument_parameters["frequency"]["data"][0] + mass_centers = _get_mass_centers(frequency) + elif radar_freq is not None: + mass_centers = _get_mass_centers(radar_freq) else: mass_centers = _mass_centers_table()["C"] warn( - "Radar instrument parameters is empty. So frequency is " + "Radar instrument parameters and radar_freq param are empty. So frequency is " "unknown. Default coefficients for C band will be applied." ) From 5b4f580a92b6665d75cacf554ac0bcac56d711c6 Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Tue, 30 Apr 2024 09:18:25 -0500 Subject: [PATCH 02/12] warnings --- pyart/retrieve/echo_class.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/pyart/retrieve/echo_class.py b/pyart/retrieve/echo_class.py index 3cf2239bcc..0d997ecd89 100644 --- a/pyart/retrieve/echo_class.py +++ b/pyart/retrieve/echo_class.py @@ -672,13 +672,17 @@ def hydroclass_semisupervised( if radar.instrument_parameters and "frequency" in radar.instrument_parameters: frequency = radar.instrument_parameters["frequency"]["data"][0] mass_centers = _get_mass_centers(frequency) + warn(f"Using radar frequency from instrument parameters: {frequency}") elif radar_freq is not None: mass_centers = _get_mass_centers(radar_freq) + warn( + f"Radar instrument parameters are empty. Using user-supplied radar frequency: {radar_freq}" + ) else: mass_centers = _mass_centers_table()["C"] warn( - "Radar instrument parameters and radar_freq param are empty. So frequency is " - "unknown. Default coefficients for C band will be applied." + "Radar instrument parameters and radar_freq param are empty." + "So frequency is unknown. Default coefficients for C band will be applied." ) # parse the field parameters From 915c09f1b4f01d1b8e465a9f5109a2b77fffecfd Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Tue, 30 Apr 2024 09:20:04 -0500 Subject: [PATCH 03/12] docs string --- pyart/retrieve/echo_class.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/pyart/retrieve/echo_class.py b/pyart/retrieve/echo_class.py index 0d997ecd89..beda5b8b15 100644 --- a/pyart/retrieve/echo_class.py +++ b/pyart/retrieve/echo_class.py @@ -635,6 +635,9 @@ def hydroclass_semisupervised( Output. Field name which represents the hydrometeor class field. A value of None will use the default field name as defined in the Py-ART configuration file. + radar_freq : str, optional + Radar frequency used for classification. + If the instrument parameters include frequency information, this parameter will be ignored. Returns ------- From 157dcd8b2bae5e653067e47353cc8dea564eaac2 Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Tue, 30 Apr 2024 09:22:35 -0500 Subject: [PATCH 04/12] docs changed --- pyart/retrieve/echo_class.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyart/retrieve/echo_class.py b/pyart/retrieve/echo_class.py index beda5b8b15..ab626ed1fc 100644 --- a/pyart/retrieve/echo_class.py +++ b/pyart/retrieve/echo_class.py @@ -636,8 +636,8 @@ def hydroclass_semisupervised( A value of None will use the default field name as defined in the Py-ART configuration file. radar_freq : str, optional - Radar frequency used for classification. - If the instrument parameters include frequency information, this parameter will be ignored. + Radar frequency in Hertz (Hz) used for classification. + This parameter will be ignored, if the radar object has frequency information. Returns ------- From 2976c6a2677d4ba027c1061d6af73a417d0d5054 Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Tue, 30 Apr 2024 09:27:20 -0500 Subject: [PATCH 05/12] old Note changed to reflect new addition --- pyart/retrieve/echo_class.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/pyart/retrieve/echo_class.py b/pyart/retrieve/echo_class.py index ab626ed1fc..695605da32 100644 --- a/pyart/retrieve/echo_class.py +++ b/pyart/retrieve/echo_class.py @@ -654,8 +654,9 @@ def hydroclass_semisupervised( Notes ----- The default hydrometeor classification is valid for C-band radars. For X-band radars, - if frequency information is not present in the `radar.instrument_parameters`, a warning that the - algorithm is defaulting to the C band is printed. + if frequency information is not present in the `radar.instrument_parameters`, the user-supplied + `radar_freq` will be used with a warning. If both `radar.instrument_parameters` and + `radar_freq` parameter are missing, the algorithm defaults to the C band. If the radar frequency information is missing from the radar object, you can add it in `radar.instrument_parameters`, as follows: From 4c04582ed0c22345128db2bebfd654ea0d5309ef Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Tue, 30 Apr 2024 14:50:19 -0500 Subject: [PATCH 06/12] more description added --- .../hydrometeor_class_x-band_example.ipynb | 488 ++++++++++++++++++ 1 file changed, 488 insertions(+) create mode 100644 examples/retrieve/hydrometeor_class_x-band_example.ipynb diff --git a/examples/retrieve/hydrometeor_class_x-band_example.ipynb b/examples/retrieve/hydrometeor_class_x-band_example.ipynb new file mode 100644 index 0000000000..56151173fb --- /dev/null +++ b/examples/retrieve/hydrometeor_class_x-band_example.ipynb @@ -0,0 +1,488 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n", + "## library for working with weather radar data. Py-ART is partly\n", + "## supported by the U.S. Department of Energy as part of the Atmospheric\n", + "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n", + "## Science user facility.\n", + "##\n", + "## If you use this software to prepare a publication, please cite:\n", + "##\n", + "## JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n", + "\n" + ] + } + ], + "source": [ + "import pyart\n", + "import glob\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# import cartopy.crs as ccrs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The code initially attempts hydrometeor classification without radar frequency information for band selection.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/Users/bhupendra/projects/sail/data/test/gucxprecipradarcmacS2.c1.20220825.194643.nc']" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hour = \"19\"\n", + "day = \"25\"\n", + "month = \"08\"\n", + "year = \"2022\"\n", + "\n", + "glob_str = f\"/Users/bhupendra/projects/sail/data/test/gucxprecipradarcmacS2.c1.{year}{month}{day}.{hour}*\"\n", + "files = sorted(glob.glob(glob_str))\n", + "files" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/bhupendra/forked_repo/pyart/pyart/io/cfradial.py:412: UserWarning: WARNING: valid_min not used since it\n", + "cannot be safely cast to variable data type\n", + " data = self.ncvar[:]\n", + "/Users/bhupendra/forked_repo/pyart/pyart/io/cfradial.py:412: UserWarning: WARNING: valid_max not used since it\n", + "cannot be safely cast to variable data type\n", + " data = self.ncvar[:]\n" + ] + }, + { + "data": { + "text/plain": [ + "(-20.0, 20.0)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "radar = pyart.io.read(files[0])\n", + "radar = radar.extract_sweeps([0])\n", + "figure = plt.figure(figsize=(15, 4))\n", + "\n", + "ax1 = plt.subplot(1, 3, 1)\n", + "display = pyart.graph.RadarDisplay(radar)\n", + "ax1 = display.plot(\"DBZ\", vmin=0, vmax=50) # DBZ corrected_reflectivity\n", + "plt.xlim(-20, 20)\n", + "plt.ylim(-20, 20)\n", + "\n", + "ax2 = plt.subplot(1, 3, 2)\n", + "ax2 = display.plot(\"corrected_differential_reflectivity\", cmap=\"pyart_Carbone42\") # ZDR\n", + "plt.xlim(-20, 20)\n", + "plt.ylim(-20, 20)\n", + "\n", + "ax3 = plt.subplot(1, 3, 3)\n", + "ax3 = display.plot(\"corrected_specific_diff_phase\", cmap=\"pyart_Carbone42\") # KDP\n", + "plt.xlim(-20, 20)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### When instrument parameters does not have radar frequency info." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'nyquist_velocity': {'long_name': 'Nyquist velocity',\n", + " 'units': 'm/s',\n", + " 'standard_name': 'nyquist_velocity',\n", + " 'data': masked_array(data=[15.9, 15.9, 15.9, ..., 15.9, 15.9, 15.9],\n", + " mask=False,\n", + " fill_value=1e+20)}}" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "radar.instrument_parameters" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The shows an issue where radar frequency information is missing. Without this hydrometeor classification will default to C-band." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/bhupendra/forked_repo/pyart/pyart/retrieve/echo_class.py:687: UserWarning: Radar instrument parameters and radar_freq param are empty.So frequency is unknown. Default coefficients for C band will be applied.\n", + " warn(\n" + ] + } + ], + "source": [ + "# Get classification\n", + "hydromet_class = pyart.retrieve.hydroclass_semisupervised(\n", + " radar,\n", + " refl_field=\"corrected_reflectivity\",\n", + " zdr_field=\"corrected_differential_reflectivity\",\n", + " kdp_field=\"filtered_corrected_specific_diff_phase\",\n", + " rhv_field=\"RHOHV\",\n", + " temp_field=\"sounding_temperature\",\n", + ")\n", + "\n", + "radar.add_field(\"hydro_classification\", hydromet_class, replace_existing=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Use `radar_freq` parameters\n", + "To address this issue, radar frequency information can be supplied to the function with `radar_freq` parameter." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/bhupendra/forked_repo/pyart/pyart/retrieve/echo_class.py:682: UserWarning: Radar instrument parameters are empty. Using user-supplied radar frequency: 9200000000.0\n", + " warn(\n" + ] + } + ], + "source": [ + "# Get classification\n", + "hydromet_class = pyart.retrieve.hydroclass_semisupervised(\n", + " radar,\n", + " refl_field=\"corrected_reflectivity\",\n", + " zdr_field=\"corrected_differential_reflectivity\",\n", + " kdp_field=\"filtered_corrected_specific_diff_phase\",\n", + " rhv_field=\"RHOHV\",\n", + " temp_field=\"sounding_temperature\",\n", + " radar_freq=9.2e9,\n", + ")\n", + "\n", + "radar.add_field(\"hydro_classification\", hydromet_class, replace_existing=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Add radar frequency to the radar object\n", + "Incorporating radar frequency into the radar object enhances processing pipeline." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'nyquist_velocity': {'long_name': 'Nyquist velocity',\n", + " 'units': 'm/s',\n", + " 'standard_name': 'nyquist_velocity',\n", + " 'data': masked_array(data=[15.9, 15.9, 15.9, ..., 15.9, 15.9, 15.9],\n", + " mask=False,\n", + " fill_value=1e+20)},\n", + " 'frequency': {'long_name': 'Radar frequency',\n", + " 'units': 'Hz',\n", + " 'data': [9200000000.0]}}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Add X-band frequency information to radar.instrument_parameters\n", + "radar.instrument_parameters[\"frequency\"] = {\n", + " \"long_name\": \"Radar frequency\",\n", + " \"units\": \"Hz\",\n", + " \"data\": [9.2e9],\n", + "}\n", + "\n", + "radar.instrument_parameters" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's run the classification again and the warning should change telling the radar frequency from instrument parameters is used.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/bhupendra/forked_repo/pyart/pyart/retrieve/echo_class.py:679: UserWarning: Using radar frequency from instrument parameters: 9200000000.0\n", + " warn(f\"Using radar frequency from instrument parameters: {frequency}\")\n" + ] + } + ], + "source": [ + "hydromet_class = pyart.retrieve.hydroclass_semisupervised(\n", + " radar,\n", + " refl_field=\"corrected_reflectivity\",\n", + " zdr_field=\"corrected_differential_reflectivity\",\n", + " kdp_field=\"filtered_corrected_specific_diff_phase\",\n", + " rhv_field=\"RHOHV\",\n", + " temp_field=\"sounding_temperature\",\n", + " radar_freq=9.2e9,\n", + ")\n", + "\n", + "radar.add_field(\"hydro_classification\", hydromet_class, replace_existing=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that the frequency used here is from the radar object, not the user supplied." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## plotting" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.colors as colors\n", + "\n", + "hid_colors = [\n", + " \"White\",\n", + " \"LightBlue\",\n", + " \"MediumBlue\",\n", + " \"DarkOrange\",\n", + " \"LightPink\",\n", + " \"Cyan\",\n", + " \"DarkGray\",\n", + " \"Lime\",\n", + " \"Yellow\",\n", + " \"Red\",\n", + " \"Fuchsia\",\n", + "]\n", + "cmaphid = colors.ListedColormap(hid_colors)\n", + "cmapmeth = colors.ListedColormap(hid_colors[0:6])\n", + "cmapmeth_trop = colors.ListedColormap(hid_colors[0:7])\n", + "\n", + "\n", + "def adjust_fhc_colorbar_for_pyart(cb):\n", + " cb.set_ticks(np.arange(1.4, 10, 0.9))\n", + " cb.ax.set_yticklabels(\n", + " [\n", + " \"Drizzle\",\n", + " \"Rain\",\n", + " \"Ice Crystals\",\n", + " \"Aggregates\",\n", + " \"Wet Snow\",\n", + " \"Vertical Ice\",\n", + " \"LD Graupel\",\n", + " \"HD Graupel\",\n", + " \"Hail\",\n", + " \"Big Drops\",\n", + " ]\n", + " )\n", + " cb.ax.set_ylabel(\"\")\n", + " cb.ax.tick_params(length=0)\n", + " return cb\n", + "\n", + "\n", + "def adjust_meth_colorbar_for_pyart(cb, tropical=False):\n", + " if not tropical:\n", + " cb.set_ticks(np.arange(1.25, 5, 0.833))\n", + " cb.ax.set_yticklabels(\n", + " [\"R(Kdp, Zdr)\", \"R(Kdp)\", \"R(Z, Zdr)\", \"R(Z)\", \"R(Zrain)\"]\n", + " )\n", + " else:\n", + " cb.set_ticks(np.arange(1.3, 6, 0.85))\n", + " cb.ax.set_yticklabels(\n", + " [\"R(Kdp, Zdr)\", \"R(Kdp)\", \"R(Z, Zdr)\", \"R(Z_all)\", \"R(Z_c)\", \"R(Z_s)\"]\n", + " )\n", + " cb.ax.set_ylabel(\"\")\n", + " cb.ax.tick_params(length=0)\n", + " return cb\n", + "\n", + "\n", + "def two_panel_plot(\n", + " radar,\n", + " sweep=0,\n", + " var1=\"corrected_reflectivity\",\n", + " vmin1=0,\n", + " vmax1=65,\n", + " cmap1=\"RdYlBu_r\",\n", + " units1=\"dBZ\",\n", + " var2=\"corrected_differential_reflectivity\",\n", + " vmin2=-5,\n", + " vmax2=5,\n", + " cmap2=\"RdYlBu_r\",\n", + " units2=\"dB\",\n", + " return_flag=False,\n", + " xlim=[-150, 150],\n", + " ylim=[-150, 150],\n", + "):\n", + " display = pyart.graph.RadarDisplay(radar)\n", + " fig = plt.figure(figsize=(13, 5))\n", + " ax1 = fig.add_subplot(121)\n", + " display.plot_ppi(\n", + " var1,\n", + " sweep=sweep,\n", + " vmin=vmin1,\n", + " vmax=vmax1,\n", + " cmap=cmap1,\n", + " colorbar_label=units1,\n", + " mask_outside=True,\n", + " )\n", + " display.set_limits(xlim=xlim, ylim=ylim)\n", + " ax2 = fig.add_subplot(122)\n", + " display.plot_ppi(\n", + " var2,\n", + " sweep=sweep,\n", + " vmin=vmin2,\n", + " vmax=vmax2,\n", + " cmap=cmap2,\n", + " colorbar_label=units2,\n", + " mask_outside=True,\n", + " )\n", + " display.set_limits(xlim=xlim, ylim=ylim)\n", + " if return_flag:\n", + " return fig, ax1, ax2, display" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "lim = [-20, 20]\n", + "fig, ax1, ax2, display = two_panel_plot(\n", + " radar,\n", + " sweep=0,\n", + " var1=\"corrected_reflectivity\",\n", + " var2=\"hydro_classification\",\n", + " vmin2=0,\n", + " vmax2=10,\n", + " cmap2=cmaphid,\n", + " units2=\"\",\n", + " return_flag=True,\n", + " xlim=lim,\n", + " ylim=lim,\n", + ")\n", + "display.cbs[1] = adjust_fhc_colorbar_for_pyart(display.cbs[1])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "data", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 5822e1b9bb90c8d3ef138f1de34e6c055c072321 Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Wed, 1 May 2024 09:11:26 -0500 Subject: [PATCH 07/12] MOD: ipynb to py script --- .../hydrometeor_class_x-band_example.py | 240 ++++++++++++++++++ 1 file changed, 240 insertions(+) create mode 100644 examples/retrieve/hydrometeor_class_x-band_example.py diff --git a/examples/retrieve/hydrometeor_class_x-band_example.py b/examples/retrieve/hydrometeor_class_x-band_example.py new file mode 100644 index 0000000000..46384c63b1 --- /dev/null +++ b/examples/retrieve/hydrometeor_class_x-band_example.py @@ -0,0 +1,240 @@ +# %% +import glob + +import matplotlib.pyplot as plt +import numpy as np + +import pyart + +# import cartopy.crs as ccrs + +# %% [markdown] +# The code initially attempts hydrometeor classification without radar frequency information for band selection. +# + +# %% +hour = "19" +day = "25" +month = "08" +year = "2022" + +glob_str = f"/Users/bhupendra/projects/sail/data/test/gucxprecipradarcmacS2.c1.{year}{month}{day}.{hour}*" +files = sorted(glob.glob(glob_str)) +files + +# %% +radar = pyart.io.read(files[0]) +radar = radar.extract_sweeps([0]) +figure = plt.figure(figsize=(15, 4)) + +ax1 = plt.subplot(1, 3, 1) +display = pyart.graph.RadarDisplay(radar) +ax1 = display.plot("DBZ", vmin=0, vmax=50) # DBZ corrected_reflectivity +plt.xlim(-20, 20) +plt.ylim(-20, 20) + +ax2 = plt.subplot(1, 3, 2) +ax2 = display.plot("corrected_differential_reflectivity", cmap="pyart_Carbone42") # ZDR +plt.xlim(-20, 20) +plt.ylim(-20, 20) + +ax3 = plt.subplot(1, 3, 3) +ax3 = display.plot("corrected_specific_diff_phase", cmap="pyart_Carbone42") # KDP +plt.xlim(-20, 20) + +# %% [markdown] +# ### When instrument parameters does not have radar frequency info. + +# %% +radar.instrument_parameters + +# %% [markdown] +# The shows an issue where radar frequency information is missing. Without this hydrometeor classification will default to C-band. + +# %% +# Get classification +hydromet_class = pyart.retrieve.hydroclass_semisupervised( + radar, + refl_field="corrected_reflectivity", + zdr_field="corrected_differential_reflectivity", + kdp_field="filtered_corrected_specific_diff_phase", + rhv_field="RHOHV", + temp_field="sounding_temperature", +) + +radar.add_field("hydro_classification", hydromet_class, replace_existing=True) + +# %% [markdown] +# # Use `radar_freq` parameters +# To address this issue, radar frequency information can be supplied to the function with `radar_freq` parameter. + +# %% +# Get classification +hydromet_class = pyart.retrieve.hydroclass_semisupervised( + radar, + refl_field="corrected_reflectivity", + zdr_field="corrected_differential_reflectivity", + kdp_field="filtered_corrected_specific_diff_phase", + rhv_field="RHOHV", + temp_field="sounding_temperature", + radar_freq=9.2e9, +) + +radar.add_field("hydro_classification", hydromet_class, replace_existing=True) + +# %% [markdown] +# #### Add radar frequency to the radar object +# Incorporating radar frequency into the radar object enhances processing pipeline. + +# %% +# Add X-band frequency information to radar.instrument_parameters +radar.instrument_parameters["frequency"] = { + "long_name": "Radar frequency", + "units": "Hz", + "data": [9.2e9], +} + +radar.instrument_parameters + +# %% [markdown] +# Let's run the classification again and the warning should change telling the radar frequency from instrument parameters is used. +# + +# %% +hydromet_class = pyart.retrieve.hydroclass_semisupervised( + radar, + refl_field="corrected_reflectivity", + zdr_field="corrected_differential_reflectivity", + kdp_field="filtered_corrected_specific_diff_phase", + rhv_field="RHOHV", + temp_field="sounding_temperature", + radar_freq=9.2e9, +) + +radar.add_field("hydro_classification", hydromet_class, replace_existing=True) + +# %% [markdown] +# Note that the frequency used here is from the radar object, not the user supplied. + +# %% [markdown] +# ## plotting + +# %% +import matplotlib.colors as colors + +hid_colors = [ + "White", + "LightBlue", + "MediumBlue", + "DarkOrange", + "LightPink", + "Cyan", + "DarkGray", + "Lime", + "Yellow", + "Red", + "Fuchsia", +] +cmaphid = colors.ListedColormap(hid_colors) +cmapmeth = colors.ListedColormap(hid_colors[0:6]) +cmapmeth_trop = colors.ListedColormap(hid_colors[0:7]) + + +def adjust_fhc_colorbar_for_pyart(cb): + cb.set_ticks(np.arange(1.4, 10, 0.9)) + cb.ax.set_yticklabels( + [ + "Drizzle", + "Rain", + "Ice Crystals", + "Aggregates", + "Wet Snow", + "Vertical Ice", + "LD Graupel", + "HD Graupel", + "Hail", + "Big Drops", + ] + ) + cb.ax.set_ylabel("") + cb.ax.tick_params(length=0) + return cb + + +def adjust_meth_colorbar_for_pyart(cb, tropical=False): + if not tropical: + cb.set_ticks(np.arange(1.25, 5, 0.833)) + cb.ax.set_yticklabels( + ["R(Kdp, Zdr)", "R(Kdp)", "R(Z, Zdr)", "R(Z)", "R(Zrain)"] + ) + else: + cb.set_ticks(np.arange(1.3, 6, 0.85)) + cb.ax.set_yticklabels( + ["R(Kdp, Zdr)", "R(Kdp)", "R(Z, Zdr)", "R(Z_all)", "R(Z_c)", "R(Z_s)"] + ) + cb.ax.set_ylabel("") + cb.ax.tick_params(length=0) + return cb + + +def two_panel_plot( + radar, + sweep=0, + var1="corrected_reflectivity", + vmin1=0, + vmax1=65, + cmap1="RdYlBu_r", + units1="dBZ", + var2="corrected_differential_reflectivity", + vmin2=-5, + vmax2=5, + cmap2="RdYlBu_r", + units2="dB", + return_flag=False, + xlim=[-150, 150], + ylim=[-150, 150], +): + display = pyart.graph.RadarDisplay(radar) + fig = plt.figure(figsize=(13, 5)) + ax1 = fig.add_subplot(121) + display.plot_ppi( + var1, + sweep=sweep, + vmin=vmin1, + vmax=vmax1, + cmap=cmap1, + colorbar_label=units1, + mask_outside=True, + ) + display.set_limits(xlim=xlim, ylim=ylim) + ax2 = fig.add_subplot(122) + display.plot_ppi( + var2, + sweep=sweep, + vmin=vmin2, + vmax=vmax2, + cmap=cmap2, + colorbar_label=units2, + mask_outside=True, + ) + display.set_limits(xlim=xlim, ylim=ylim) + if return_flag: + return fig, ax1, ax2, display + + +# %% +lim = [-20, 20] +fig, ax1, ax2, display = two_panel_plot( + radar, + sweep=0, + var1="corrected_reflectivity", + var2="hydro_classification", + vmin2=0, + vmax2=10, + cmap2=cmaphid, + units2="", + return_flag=True, + xlim=lim, + ylim=lim, +) +display.cbs[1] = adjust_fhc_colorbar_for_pyart(display.cbs[1]) From 1a1e7073e9f17d662c2228ffe3489d1555540011 Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Wed, 1 May 2024 09:12:01 -0500 Subject: [PATCH 08/12] Delete:ipynb --- .../hydrometeor_class_x-band_example.ipynb | 488 ------------------ 1 file changed, 488 deletions(-) delete mode 100644 examples/retrieve/hydrometeor_class_x-band_example.ipynb diff --git a/examples/retrieve/hydrometeor_class_x-band_example.ipynb b/examples/retrieve/hydrometeor_class_x-band_example.ipynb deleted file mode 100644 index 56151173fb..0000000000 --- a/examples/retrieve/hydrometeor_class_x-band_example.ipynb +++ /dev/null @@ -1,488 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n", - "## library for working with weather radar data. Py-ART is partly\n", - "## supported by the U.S. Department of Energy as part of the Atmospheric\n", - "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n", - "## Science user facility.\n", - "##\n", - "## If you use this software to prepare a publication, please cite:\n", - "##\n", - "## JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n", - "\n" - ] - } - ], - "source": [ - "import pyart\n", - "import glob\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# import cartopy.crs as ccrs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The code initially attempts hydrometeor classification without radar frequency information for band selection.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['/Users/bhupendra/projects/sail/data/test/gucxprecipradarcmacS2.c1.20220825.194643.nc']" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "hour = \"19\"\n", - "day = \"25\"\n", - "month = \"08\"\n", - "year = \"2022\"\n", - "\n", - "glob_str = f\"/Users/bhupendra/projects/sail/data/test/gucxprecipradarcmacS2.c1.{year}{month}{day}.{hour}*\"\n", - "files = sorted(glob.glob(glob_str))\n", - "files" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/bhupendra/forked_repo/pyart/pyart/io/cfradial.py:412: UserWarning: WARNING: valid_min not used since it\n", - "cannot be safely cast to variable data type\n", - " data = self.ncvar[:]\n", - "/Users/bhupendra/forked_repo/pyart/pyart/io/cfradial.py:412: UserWarning: WARNING: valid_max not used since it\n", - "cannot be safely cast to variable data type\n", - " data = self.ncvar[:]\n" - ] - }, - { - "data": { - "text/plain": [ - "(-20.0, 20.0)" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "radar = pyart.io.read(files[0])\n", - "radar = radar.extract_sweeps([0])\n", - "figure = plt.figure(figsize=(15, 4))\n", - "\n", - "ax1 = plt.subplot(1, 3, 1)\n", - "display = pyart.graph.RadarDisplay(radar)\n", - "ax1 = display.plot(\"DBZ\", vmin=0, vmax=50) # DBZ corrected_reflectivity\n", - "plt.xlim(-20, 20)\n", - "plt.ylim(-20, 20)\n", - "\n", - "ax2 = plt.subplot(1, 3, 2)\n", - "ax2 = display.plot(\"corrected_differential_reflectivity\", cmap=\"pyart_Carbone42\") # ZDR\n", - "plt.xlim(-20, 20)\n", - "plt.ylim(-20, 20)\n", - "\n", - "ax3 = plt.subplot(1, 3, 3)\n", - "ax3 = display.plot(\"corrected_specific_diff_phase\", cmap=\"pyart_Carbone42\") # KDP\n", - "plt.xlim(-20, 20)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### When instrument parameters does not have radar frequency info." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'nyquist_velocity': {'long_name': 'Nyquist velocity',\n", - " 'units': 'm/s',\n", - " 'standard_name': 'nyquist_velocity',\n", - " 'data': masked_array(data=[15.9, 15.9, 15.9, ..., 15.9, 15.9, 15.9],\n", - " mask=False,\n", - " fill_value=1e+20)}}" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "radar.instrument_parameters" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The shows an issue where radar frequency information is missing. Without this hydrometeor classification will default to C-band." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/bhupendra/forked_repo/pyart/pyart/retrieve/echo_class.py:687: UserWarning: Radar instrument parameters and radar_freq param are empty.So frequency is unknown. Default coefficients for C band will be applied.\n", - " warn(\n" - ] - } - ], - "source": [ - "# Get classification\n", - "hydromet_class = pyart.retrieve.hydroclass_semisupervised(\n", - " radar,\n", - " refl_field=\"corrected_reflectivity\",\n", - " zdr_field=\"corrected_differential_reflectivity\",\n", - " kdp_field=\"filtered_corrected_specific_diff_phase\",\n", - " rhv_field=\"RHOHV\",\n", - " temp_field=\"sounding_temperature\",\n", - ")\n", - "\n", - "radar.add_field(\"hydro_classification\", hydromet_class, replace_existing=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Use `radar_freq` parameters\n", - "To address this issue, radar frequency information can be supplied to the function with `radar_freq` parameter." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/bhupendra/forked_repo/pyart/pyart/retrieve/echo_class.py:682: UserWarning: Radar instrument parameters are empty. Using user-supplied radar frequency: 9200000000.0\n", - " warn(\n" - ] - } - ], - "source": [ - "# Get classification\n", - "hydromet_class = pyart.retrieve.hydroclass_semisupervised(\n", - " radar,\n", - " refl_field=\"corrected_reflectivity\",\n", - " zdr_field=\"corrected_differential_reflectivity\",\n", - " kdp_field=\"filtered_corrected_specific_diff_phase\",\n", - " rhv_field=\"RHOHV\",\n", - " temp_field=\"sounding_temperature\",\n", - " radar_freq=9.2e9,\n", - ")\n", - "\n", - "radar.add_field(\"hydro_classification\", hydromet_class, replace_existing=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Add radar frequency to the radar object\n", - "Incorporating radar frequency into the radar object enhances processing pipeline." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'nyquist_velocity': {'long_name': 'Nyquist velocity',\n", - " 'units': 'm/s',\n", - " 'standard_name': 'nyquist_velocity',\n", - " 'data': masked_array(data=[15.9, 15.9, 15.9, ..., 15.9, 15.9, 15.9],\n", - " mask=False,\n", - " fill_value=1e+20)},\n", - " 'frequency': {'long_name': 'Radar frequency',\n", - " 'units': 'Hz',\n", - " 'data': [9200000000.0]}}" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Add X-band frequency information to radar.instrument_parameters\n", - "radar.instrument_parameters[\"frequency\"] = {\n", - " \"long_name\": \"Radar frequency\",\n", - " \"units\": \"Hz\",\n", - " \"data\": [9.2e9],\n", - "}\n", - "\n", - "radar.instrument_parameters" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's run the classification again and the warning should change telling the radar frequency from instrument parameters is used.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/bhupendra/forked_repo/pyart/pyart/retrieve/echo_class.py:679: UserWarning: Using radar frequency from instrument parameters: 9200000000.0\n", - " warn(f\"Using radar frequency from instrument parameters: {frequency}\")\n" - ] - } - ], - "source": [ - "hydromet_class = pyart.retrieve.hydroclass_semisupervised(\n", - " radar,\n", - " refl_field=\"corrected_reflectivity\",\n", - " zdr_field=\"corrected_differential_reflectivity\",\n", - " kdp_field=\"filtered_corrected_specific_diff_phase\",\n", - " rhv_field=\"RHOHV\",\n", - " temp_field=\"sounding_temperature\",\n", - " radar_freq=9.2e9,\n", - ")\n", - "\n", - "radar.add_field(\"hydro_classification\", hydromet_class, replace_existing=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note that the frequency used here is from the radar object, not the user supplied." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## plotting" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.colors as colors\n", - "\n", - "hid_colors = [\n", - " \"White\",\n", - " \"LightBlue\",\n", - " \"MediumBlue\",\n", - " \"DarkOrange\",\n", - " \"LightPink\",\n", - " \"Cyan\",\n", - " \"DarkGray\",\n", - " \"Lime\",\n", - " \"Yellow\",\n", - " \"Red\",\n", - " \"Fuchsia\",\n", - "]\n", - "cmaphid = colors.ListedColormap(hid_colors)\n", - "cmapmeth = colors.ListedColormap(hid_colors[0:6])\n", - "cmapmeth_trop = colors.ListedColormap(hid_colors[0:7])\n", - "\n", - "\n", - "def adjust_fhc_colorbar_for_pyart(cb):\n", - " cb.set_ticks(np.arange(1.4, 10, 0.9))\n", - " cb.ax.set_yticklabels(\n", - " [\n", - " \"Drizzle\",\n", - " \"Rain\",\n", - " \"Ice Crystals\",\n", - " \"Aggregates\",\n", - " \"Wet Snow\",\n", - " \"Vertical Ice\",\n", - " \"LD Graupel\",\n", - " \"HD Graupel\",\n", - " \"Hail\",\n", - " \"Big Drops\",\n", - " ]\n", - " )\n", - " cb.ax.set_ylabel(\"\")\n", - " cb.ax.tick_params(length=0)\n", - " return cb\n", - "\n", - "\n", - "def adjust_meth_colorbar_for_pyart(cb, tropical=False):\n", - " if not tropical:\n", - " cb.set_ticks(np.arange(1.25, 5, 0.833))\n", - " cb.ax.set_yticklabels(\n", - " [\"R(Kdp, Zdr)\", \"R(Kdp)\", \"R(Z, Zdr)\", \"R(Z)\", \"R(Zrain)\"]\n", - " )\n", - " else:\n", - " cb.set_ticks(np.arange(1.3, 6, 0.85))\n", - " cb.ax.set_yticklabels(\n", - " [\"R(Kdp, Zdr)\", \"R(Kdp)\", \"R(Z, Zdr)\", \"R(Z_all)\", \"R(Z_c)\", \"R(Z_s)\"]\n", - " )\n", - " cb.ax.set_ylabel(\"\")\n", - " cb.ax.tick_params(length=0)\n", - " return cb\n", - "\n", - "\n", - "def two_panel_plot(\n", - " radar,\n", - " sweep=0,\n", - " var1=\"corrected_reflectivity\",\n", - " vmin1=0,\n", - " vmax1=65,\n", - " cmap1=\"RdYlBu_r\",\n", - " units1=\"dBZ\",\n", - " var2=\"corrected_differential_reflectivity\",\n", - " vmin2=-5,\n", - " vmax2=5,\n", - " cmap2=\"RdYlBu_r\",\n", - " units2=\"dB\",\n", - " return_flag=False,\n", - " xlim=[-150, 150],\n", - " ylim=[-150, 150],\n", - "):\n", - " display = pyart.graph.RadarDisplay(radar)\n", - " fig = plt.figure(figsize=(13, 5))\n", - " ax1 = fig.add_subplot(121)\n", - " display.plot_ppi(\n", - " var1,\n", - " sweep=sweep,\n", - " vmin=vmin1,\n", - " vmax=vmax1,\n", - " cmap=cmap1,\n", - " colorbar_label=units1,\n", - " mask_outside=True,\n", - " )\n", - " display.set_limits(xlim=xlim, ylim=ylim)\n", - " ax2 = fig.add_subplot(122)\n", - " display.plot_ppi(\n", - " var2,\n", - " sweep=sweep,\n", - " vmin=vmin2,\n", - " vmax=vmax2,\n", - " cmap=cmap2,\n", - " colorbar_label=units2,\n", - " mask_outside=True,\n", - " )\n", - " display.set_limits(xlim=xlim, ylim=ylim)\n", - " if return_flag:\n", - " return fig, ax1, ax2, display" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "lim = [-20, 20]\n", - "fig, ax1, ax2, display = two_panel_plot(\n", - " radar,\n", - " sweep=0,\n", - " var1=\"corrected_reflectivity\",\n", - " var2=\"hydro_classification\",\n", - " vmin2=0,\n", - " vmax2=10,\n", - " cmap2=cmaphid,\n", - " units2=\"\",\n", - " return_flag=True,\n", - " xlim=lim,\n", - " ylim=lim,\n", - ")\n", - "display.cbs[1] = adjust_fhc_colorbar_for_pyart(display.cbs[1])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "data", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} From 43719bbf8b048bcd8536b34e11ddbb7e984cac4b Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Wed, 1 May 2024 09:45:53 -0500 Subject: [PATCH 09/12] comments added as per sphinx --- .../hydrometeor_class_x-band_example.py | 64 ++++++++++--------- 1 file changed, 35 insertions(+), 29 deletions(-) diff --git a/examples/retrieve/hydrometeor_class_x-band_example.py b/examples/retrieve/hydrometeor_class_x-band_example.py index 46384c63b1..e682289f2c 100644 --- a/examples/retrieve/hydrometeor_class_x-band_example.py +++ b/examples/retrieve/hydrometeor_class_x-band_example.py @@ -1,4 +1,11 @@ -# %% +""" +Hydrometeor Classification with Custom Frequency Settings +=========================================================== + + This script shows how to use hydrometeor classification for X-band radar data. + We are reading radar data, plotting some variables of interest and applying the + classification to identify types of precipitation. +""" import glob import matplotlib.pyplot as plt @@ -6,13 +13,11 @@ import pyart -# import cartopy.crs as ccrs - -# %% [markdown] -# The code initially attempts hydrometeor classification without radar frequency information for band selection. -# +""" +.. note:: + The script initially attempts hydrometeor classification without specific radar frequency information for band selection. +""" -# %% hour = "19" day = "25" month = "08" @@ -42,16 +47,14 @@ ax3 = display.plot("corrected_specific_diff_phase", cmap="pyart_Carbone42") # KDP plt.xlim(-20, 20) -# %% [markdown] # ### When instrument parameters does not have radar frequency info. -# %% -radar.instrument_parameters - -# %% [markdown] -# The shows an issue where radar frequency information is missing. Without this hydrometeor classification will default to C-band. +print(radar.instrument_parameters) -# %% +""" +.. note:: +This shows an issue where radar frequency information is missing. Without this hydrometeor classification will default to C-band. +""" # Get classification hydromet_class = pyart.retrieve.hydroclass_semisupervised( radar, @@ -64,11 +67,12 @@ radar.add_field("hydro_classification", hydromet_class, replace_existing=True) -# %% [markdown] -# # Use `radar_freq` parameters -# To address this issue, radar frequency information can be supplied to the function with `radar_freq` parameter. +""" +.. note:: +Use `radar_freq` parameters +To address this issue, radar frequency information can be supplied to the function with `radar_freq` parameter. +""" -# %% # Get classification hydromet_class = pyart.retrieve.hydroclass_semisupervised( radar, @@ -82,9 +86,11 @@ radar.add_field("hydro_classification", hydromet_class, replace_existing=True) -# %% [markdown] -# #### Add radar frequency to the radar object -# Incorporating radar frequency into the radar object enhances processing pipeline. +""" +.. note:: +Add radar frequency to the radar object +Incorporating radar frequency into the radar object enhances processing pipeline. +""" # %% # Add X-band frequency information to radar.instrument_parameters @@ -96,9 +102,10 @@ radar.instrument_parameters -# %% [markdown] -# Let's run the classification again and the warning should change telling the radar frequency from instrument parameters is used. -# +""" +.. note:: +Let's run the classification again and the warning should change telling the radar frequency from instrument parameters is used. +""" # %% hydromet_class = pyart.retrieve.hydroclass_semisupervised( @@ -113,13 +120,13 @@ radar.add_field("hydro_classification", hydromet_class, replace_existing=True) -# %% [markdown] +""" +.. note:: # Note that the frequency used here is from the radar object, not the user supplied. +""" -# %% [markdown] -# ## plotting +# plotting -# %% import matplotlib.colors as colors hid_colors = [ @@ -222,7 +229,6 @@ def two_panel_plot( return fig, ax1, ax2, display -# %% lim = [-20, 20] fig, ax1, ax2, display = two_panel_plot( radar, From 8cfb099421df4437f64bd937a26775c15eb21f3d Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Wed, 1 May 2024 09:53:39 -0500 Subject: [PATCH 10/12] comments added --- .../hydrometeor_class_x-band_example.py | 44 ++++++++----------- 1 file changed, 18 insertions(+), 26 deletions(-) diff --git a/examples/retrieve/hydrometeor_class_x-band_example.py b/examples/retrieve/hydrometeor_class_x-band_example.py index e682289f2c..69f99f8f4f 100644 --- a/examples/retrieve/hydrometeor_class_x-band_example.py +++ b/examples/retrieve/hydrometeor_class_x-band_example.py @@ -5,6 +5,9 @@ This script shows how to use hydrometeor classification for X-band radar data. We are reading radar data, plotting some variables of interest and applying the classification to identify types of precipitation. + + .. note:: + The script initially attempts hydrometeor classification without specific radar frequency information for band selection. """ import glob @@ -13,11 +16,6 @@ import pyart -""" -.. note:: - The script initially attempts hydrometeor classification without specific radar frequency information for band selection. -""" - hour = "19" day = "25" month = "08" @@ -51,10 +49,9 @@ print(radar.instrument_parameters) -""" -.. note:: -This shows an issue where radar frequency information is missing. Without this hydrometeor classification will default to C-band. -""" + +# This shows an issue where radar frequency information is missing. Without this hydrometeor classification will default to C-band. + # Get classification hydromet_class = pyart.retrieve.hydroclass_semisupervised( radar, @@ -67,11 +64,10 @@ radar.add_field("hydro_classification", hydromet_class, replace_existing=True) -""" -.. note:: -Use `radar_freq` parameters -To address this issue, radar frequency information can be supplied to the function with `radar_freq` parameter. -""" + +# Use `radar_freq` parameters +# To address this issue, radar frequency information can be supplied to the function with `radar_freq` parameter. + # Get classification hydromet_class = pyart.retrieve.hydroclass_semisupervised( @@ -86,11 +82,9 @@ radar.add_field("hydro_classification", hydromet_class, replace_existing=True) -""" -.. note:: -Add radar frequency to the radar object -Incorporating radar frequency into the radar object enhances processing pipeline. -""" + +# Add radar frequency to the radar object +# Incorporating radar frequency into the radar object enhances processing pipeline. # %% # Add X-band frequency information to radar.instrument_parameters @@ -102,10 +96,9 @@ radar.instrument_parameters -""" -.. note:: -Let's run the classification again and the warning should change telling the radar frequency from instrument parameters is used. -""" + +# Let's run the classification again and the warning should change telling the radar frequency from instrument parameters is used. + # %% hydromet_class = pyart.retrieve.hydroclass_semisupervised( @@ -120,10 +113,9 @@ radar.add_field("hydro_classification", hydromet_class, replace_existing=True) -""" -.. note:: + # Note that the frequency used here is from the radar object, not the user supplied. -""" + # plotting From 5d75807e59603ae9d9af0a90a53cc940da4ee267 Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Wed, 1 May 2024 16:58:07 -0500 Subject: [PATCH 11/12] example file renamed --- ...r_class_x-band_example.py => plot_hydrometeor_class_x_band.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename examples/retrieve/{hydrometeor_class_x-band_example.py => plot_hydrometeor_class_x_band.py} (100%) diff --git a/examples/retrieve/hydrometeor_class_x-band_example.py b/examples/retrieve/plot_hydrometeor_class_x_band.py similarity index 100% rename from examples/retrieve/hydrometeor_class_x-band_example.py rename to examples/retrieve/plot_hydrometeor_class_x_band.py From 5b8c7c49f258b7355fcd334d62ccff9503aebc20 Mon Sep 17 00:00:00 2001 From: Bhupendra Raut Date: Thu, 6 Jun 2024 15:08:23 -0500 Subject: [PATCH 12/12] used open_radar_data --- examples/retrieve/hydrometeor-class.ipynb | 167 ------------------ .../retrieve/plot_hydrometeor_class_x_band.py | 17 +- 2 files changed, 3 insertions(+), 181 deletions(-) delete mode 100644 examples/retrieve/hydrometeor-class.ipynb diff --git a/examples/retrieve/hydrometeor-class.ipynb b/examples/retrieve/hydrometeor-class.ipynb deleted file mode 100644 index 5421256d03..0000000000 --- a/examples/retrieve/hydrometeor-class.ipynb +++ /dev/null @@ -1,167 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "be2d2ecb-8e76-432c-b7e1-3b92eb61e425", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import cartopy.crs as ccrs\n", - "import cartopy\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import pyart" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "40d2e0f8-4695-4f3c-9bad-c866536f260c", - "metadata": {}, - "outputs": [], - "source": [ - "# Read in some test data\n", - "filename = pyart.testing.get_test_data(\"swx_20120520_0641.nc\")\n", - "radar = pyart.io.read(filename)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3ecbd17b-8f94-43b7-84dd-a69f7e071646", - "metadata": {}, - "outputs": [], - "source": [ - "list(radar.fields)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "584a1954-c1f0-4690-8423-c0053d54b712", - "metadata": {}, - "outputs": [], - "source": [ - "radar.fields[\"diff_phase\"]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6cb555a2-549e-4e10-adb8-938be66aeb4e", - "metadata": {}, - "outputs": [], - "source": [ - "gatefilter = pyart.filters.moment_and_texture_based_gate_filter(\n", - " radar,\n", - " zdr_field=\"diff_reflectivity\",\n", - " rhv_field=\"copol_coeff\",\n", - " phi_field=\"dp_phase_shift\",\n", - " refl_field=\"corrected_reflectivity_horizontal\",\n", - ")\n", - "# gatefilter.exclude_below('signal_to_noise_ratio', 10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3178c6c3-4b84-4712-af6c-27d04297599c", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(1, 2, figsize=(12, 6), sharex=True, sharey=True)\n", - "display = pyart.graph.RadarDisplay(radar)\n", - "display.plot_ppi(\n", - " \"corrected_reflectivity_horizontal\",\n", - " 0,\n", - " vmin=0,\n", - " vmax=60.0,\n", - " ax=ax[0],\n", - " colorbar_label=\"Raw Ref\",\n", - " cmap=\"pyart_HomeyerRainbow\",\n", - ")\n", - "display.plot_ppi(\n", - " \"corrected_reflectivity_horizontal\",\n", - " 0,\n", - " vmin=0,\n", - " vmax=60.0,\n", - " gatefilter=gtfilter,\n", - " cmap=\"pyart_HomeyerRainbow\",\n", - " ax=ax[1],\n", - " colorbar_label=\"Filtered Ref\",\n", - ")\n", - "ax[0].set_xlim([-50, 50])\n", - "ax[0].set_ylim([-50, 50])\n", - "ax[0].set_aspect(\"equal\", \"box\")\n", - "ax[1].set_aspect(\"equal\", \"box\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "74c8b2e9-dd8c-49de-a0fe-b49c9413f3a8", - "metadata": {}, - "outputs": [], - "source": [ - "list(radar.fields)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a4be687b-cf52-4e85-bd22-91b4054b7b20", - "metadata": {}, - "outputs": [], - "source": [ - "hydro = pyart.retrieve.hydroclass_semisupervised(\n", - " radar,\n", - " refl_field=\"corrected_reflectivity_horizontal\",\n", - " zdr_field=\"diff_reflectivity\",\n", - " kdp_field=\"diff_phase\",\n", - " rhv_field=\"copol_coeff\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "95d0f228-d999-4038-87e5-6cf06e622c9d", - "metadata": {}, - "outputs": [], - "source": [ - "radar.in" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6f232563-c9b1-4c75-875a-34a7bb51e9f5", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/retrieve/plot_hydrometeor_class_x_band.py b/examples/retrieve/plot_hydrometeor_class_x_band.py index 69f99f8f4f..1841562fd8 100644 --- a/examples/retrieve/plot_hydrometeor_class_x_band.py +++ b/examples/retrieve/plot_hydrometeor_class_x_band.py @@ -9,25 +9,16 @@ .. note:: The script initially attempts hydrometeor classification without specific radar frequency information for band selection. """ -import glob import matplotlib.pyplot as plt import numpy as np +from open_radar_data import DATASETS import pyart -hour = "19" -day = "25" -month = "08" -year = "2022" +filename = DATASETS.fetch("gucxprecipradarcmacppiS2.c1.20220314.025840.nc") +radar = pyart.io.read_cfradial(filename) -glob_str = f"/Users/bhupendra/projects/sail/data/test/gucxprecipradarcmacS2.c1.{year}{month}{day}.{hour}*" -files = sorted(glob.glob(glob_str)) -files - -# %% -radar = pyart.io.read(files[0]) -radar = radar.extract_sweeps([0]) figure = plt.figure(figsize=(15, 4)) ax1 = plt.subplot(1, 3, 1) @@ -86,7 +77,6 @@ # Add radar frequency to the radar object # Incorporating radar frequency into the radar object enhances processing pipeline. -# %% # Add X-band frequency information to radar.instrument_parameters radar.instrument_parameters["frequency"] = { "long_name": "Radar frequency", @@ -100,7 +90,6 @@ # Let's run the classification again and the warning should change telling the radar frequency from instrument parameters is used. -# %% hydromet_class = pyart.retrieve.hydroclass_semisupervised( radar, refl_field="corrected_reflectivity",