{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "ekk7oXWtKZbD" }, "source": [ "# Wind retrievel for RPG radar" ] }, { "cell_type": "markdown", "metadata": { "id": "6-9RSNp7zde7" }, "source": [ "**lidarwind** is the package name used to retrieve wind profiles from the radar PPI scans. The package was initially developed to process wind lidar data (https://doi.org/10.21105/joss.04852). Because the physical principle of retrieving wind from lidar and radar observations is the same, lidarwind was extended to support the RPG radar data. Below, you will find an example of lidarwind applied to RPG PPI radar data.\n", "\n", "You can find more information about lidarwind at: https://lidarwind.readthedocs.io/" ] }, { "cell_type": "markdown", "metadata": { "id": "gvoKDOfMKZbG" }, "source": [ "## Steps:\n", "\n", " 1. Dependence installation\n", " 2. Importing the required packages\n", " 3. Defining useful functions\n", " 4. Getting sample data\n", " 5. Retrieving wind\n", " 6. Visualising the results" ] }, { "cell_type": "markdown", "metadata": { "id": "E-jfaRDhKZbO" }, "source": [ "## Step 1: Dependence installation" ] }, { "cell_type": "markdown", "metadata": { "id": "ya1i4OsxsEC_" }, "source": [ "The cell below installs an additional package required by lidarwind." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 16018, "status": "ok", "timestamp": 1779436468185, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "MqItOU3p29sg", "outputId": "62a6968b-e6f3-4389-b3f2-a1c135a316aa", "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: lidarwind in /Users/jdiasneto/miniforge3/envs/ccres/lib/python3.12/site-packages (1.0.1)\n", "Requirement already satisfied: xarray==2024.3.0 in /Users/jdiasneto/miniforge3/envs/ccres/lib/python3.12/site-packages 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setuptools-82.0.1:\n", " Successfully uninstalled setuptools-82.0.1\n", "Successfully installed setuptools-81.0.0\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install lidarwind xarray==2024.3.0 xarray-datatree==0.0.14 \"setuptools<82\"" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 4167, "status": "ok", "timestamp": 1779436472379, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "cXfVCNhJukJB", "outputId": "00b037bb-210b-470e-bef9-6e7e0e596804" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "xarray 2024.3.0\n", "xarray-datatree 0.0.14\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip list | grep xarray" ] }, { "cell_type": "markdown", "metadata": { "id": "epjD6BJRKZbS" }, "source": [ "## ATTENTION:\n", "\n", "After executing the previous cell and before executing the next cell, you need to restart the kernel. It is a temporary solution.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "NoZuqIJ0KZbT" }, "source": [ "## Step 2: Importing required packages" ] }, { "cell_type": "markdown", "metadata": { "id": "aZ-mEiQ1KZbU" }, "source": [ "Here, we import some basic packages usefull for processing the sample data. Later, lidarwind is also imported and its versions is checked; it should be greater or equal to 0.2.4. After, the RPG related modules are also imported." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "executionInfo": { "elapsed": 513, "status": "ok", "timestamp": 1779436472867, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "WBio5B-AvloE", "scrolled": true }, "outputs": [], "source": [ "# genneral imports\n", "import pooch\n", "\n", "import xarray as xr\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 4330, "status": "ok", "timestamp": 1779436477205, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "i2WDSg8Sr5H1", "outputId": "d00530b0-7b6e-4b2e-9420-df0f98045ab4" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/jdiasneto/miniforge3/envs/ccres/lib/python3.12/site-packages/lidarwind/__init__.py:8: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n", " from pkg_resources import DistributionNotFound, get_distribution\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "lidarwind version: 1.0.1\n" ] } ], "source": [ "# importing the data processing package\n", "import lidarwind\n", "\n", "# checking if the version of lidarwind\n", "# it should be equal or greater than 0.2.4\n", "print(f\"lidarwind version: {lidarwind.__version__}\")\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "executionInfo": { "elapsed": 7, "status": "ok", "timestamp": 1779436477229, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "kY7ShwU4KZbi" }, "outputs": [], "source": [ "\n", "# importing the rpg radar related modules\n", "from lidarwind.preprocessing import rpg_radar\n", "from lidarwind.postprocessing import post_rpg_radar" ] }, { "cell_type": "markdown", "metadata": { "id": "-Cbt2cNtKZbj" }, "source": [ "## Step 3: Defining the processing function" ] }, { "cell_type": "markdown", "metadata": { "id": "EIMtLcq3KZbk" }, "source": [ "The following is in charge of the main process. Here, the individual PPI files are open and the profiles are retrieved." ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "executionInfo": { "elapsed": 4, "status": "ok", "timestamp": 1779436477238, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "kN6o_1BqtpCc" }, "outputs": [], "source": [ "def process_one_file(file_name):\n", " \"\"\"\n", " Function to process a single radar file\n", " \"\"\"\n", "\n", " ds = xr.open_dataset(file_name)\n", " ds = rpg_radar.rpg_slanted_radial_velocity_4_fft(ds)\n", " tmp_wind = post_rpg_radar.get_horizontal_wind(ds)\n", "\n", " return tmp_wind" ] }, { "cell_type": "markdown", "metadata": { "id": "cw_Ss1MRKZbl" }, "source": [ "## Step 4: Getting sample data" ] }, { "cell_type": "markdown", "metadata": { "id": "i5Iqxx6JKZbm" }, "source": [ "In this step, we download a sample dataset needed for this example and create a list of all downloaded files." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 17115, "status": "ok", "timestamp": 1779436494371, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "4WDskPtsKZbm", "outputId": "4564d86a-de65-421c-ca7a-11ae6d8057a1" }, "outputs": [], "source": [ "file_list = pooch.retrieve(\n", " url=\"doi:10.5281/zenodo.7312960/rpg_sample_ppi.zip\",\n", " known_hash=\"md5:952f7b50985cc8623933fbc18f72fd73\",\n", " path=\"tmp_data\",\n", " processor=pooch.Unzip(),\n", " )\n", "\n", "file_list = sorted(file_list)" ] }, { "cell_type": "markdown", "metadata": { "id": "d_7AhcjDKZbn" }, "source": [ "## Step 5: Retrieving wind" ] }, { "cell_type": "markdown", "metadata": { "id": "X0mjyFosKZbn" }, "source": [ "In this step, the function defined in Step 3 to process the sample files is applied to the file_list defined in Step 4." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 33769, "status": "ok", "timestamp": 1779436528143, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "6bgbXMvjt31a", "outputId": "c58fd2a5-e764-45ff-ee42-45016ffeadb5" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 40.3 s, sys: 996 ms, total: 41.3 s\n", "Wall time: 43.6 s\n" ] } ], "source": [ "%%time\n", "\n", "# running the function over the selected files\n", "wind_ds = xr.merge([process_one_file(f) for f in file_list])" ] }, { "cell_type": "markdown", "metadata": { "id": "_Z0CruwqKZbo" }, "source": [ "## Step 6: Visualising the results" ] }, { "cell_type": "markdown", "metadata": { "id": "pHCjVrZRKZbo" }, "source": [ "Finally, in this step, we first have a look at the wind dataset structure and later have a loot at some variables." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "executionInfo": { "elapsed": 63, "status": "ok", "timestamp": 1779436528191, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "GPOmtydDBulj", "outputId": "8835f08d-9959-4d85-c4a2-df7dcd0ac6d3" }, "outputs": [ { "data": { "text/html": [ "
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       "Dimensions:                    (range: 339, chirp: 3, mean_time: 42)\n",
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       "  * mean_time                  (mean_time) datetime64[ns] 336B 2022-05-17T10:...\n",
       "    elevation                  float32 4B 74.99\n",
       "    freq_azimuth               float64 8B 0.002778\n",
       "    azimuth_length             int64 8B 72\n",
       "Data variables:\n",
       "    horizontal_wind_direction  (mean_time, range) float64 114kB 82.05 ... nan\n",
       "    horizontal_wind_speed      (mean_time, range) float64 114kB 4.536 ... nan\n",
       "    meridional_wind            (mean_time, range) float64 114kB -0.6275 ... nan\n",
       "    zonal_wind                 (mean_time, range) float64 114kB 4.493 ... nan\n",
       "    start_scan                 (mean_time) datetime64[ns] 336B 2022-05-17T10:...\n",
       "    end_scan                   (mean_time) datetime64[ns] 336B 2022-05-17T10:...\n",
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       "    chirp_start                (mean_time, chirp) float32 504B 111.8 ... 2.03...\n",
       "    chirp_end                  (mean_time, chirp) float32 504B 581.3 ... 1.19...\n",
       "    chirp_azimuth_bias         (mean_time, chirp) float64 1kB 0.0 0.0 ... 0.0\n",
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" ], "text/plain": [ " Size: 631kB\n", "Dimensions: (range: 339, chirp: 3, mean_time: 42)\n", "Coordinates:\n", " * range (range) float32 1kB 108.0 129.6 ... 1.157e+04\n", " * chirp (chirp) int64 24B 1 2 3\n", " * mean_time (mean_time) datetime64[ns] 336B 2022-05-17T10:...\n", " elevation float32 4B 74.99\n", " freq_azimuth float64 8B 0.002778\n", " azimuth_length int64 8B 72\n", "Data variables:\n", " horizontal_wind_direction (mean_time, range) float64 114kB 82.05 ... nan\n", " horizontal_wind_speed (mean_time, range) float64 114kB 4.536 ... nan\n", " meridional_wind (mean_time, range) float64 114kB -0.6275 ... nan\n", " zonal_wind (mean_time, range) float64 114kB 4.493 ... nan\n", " start_scan (mean_time) datetime64[ns] 336B 2022-05-17T10:...\n", " end_scan (mean_time) datetime64[ns] 336B 2022-05-17T10:...\n", " zdr_max (mean_time, range) float32 57kB 5.533 ... nan\n", " nan_percentual (mean_time, range) float64 114kB 0.0 ... 100.0\n", " chirp_start (mean_time, chirp) float32 504B 111.8 ... 2.03...\n", " chirp_end (mean_time, chirp) float32 504B 581.3 ... 1.19...\n", " chirp_azimuth_bias (mean_time, chirp) float64 1kB 0.0 0.0 ... 0.0\n", " azm_seq (mean_time) float64 336B 1.0 -1.0 ... 1.0 -1.0" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking the wind dataset\n", "wind_ds" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "executionInfo": { "elapsed": 939, "status": "ok", "timestamp": 1779436529135, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "VwmcnBd1t6wc", "outputId": "5fbffe35-23ed-4f7c-ec5c-3e724cbbb545" }, "outputs": [ { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plotting wind speed and direction\n", "plt.figure(figsize=(10,6))\n", "wind_ds.horizontal_wind_speed.where(wind_ds.nan_percentual<50).plot(y=\"range\", cmap=\"turbo\", vmin=0, vmax=20)\n", "plt.show()\n", "\n", "plt.figure(figsize=(10,6))\n", "wind_ds.horizontal_wind_direction.where(wind_ds.nan_percentual<50).plot(y=\"range\", cmap=\"hsv\", vmin=0, vmax=360)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "executionInfo": { "elapsed": 38, "status": "ok", "timestamp": 1779436529181, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "BNycQrdQKxzf", "outputId": "c7c6e5e5-4005-4200-e2e1-d20b6eda243e" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plotting the maximum ZDR from each scan\n", "plt.figure(figsize=(10,6))\n", "wind_ds.zdr_max.where(wind_ds.nan_percentual<50).plot(y=\"range\", cmap=\"turbo\", vmin=0, vmax=7)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "yEgFUyG7KZbt" }, "source": [ "In this last cell, you can save the retrieved wind data as a NetCDF file.\n", "To do it, you just need to uncomment the line below." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "executionInfo": { "elapsed": 11, "status": "ok", "timestamp": 1779436529202, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "MGlVA3i2K-JI" }, "outputs": [], "source": [ "# wind_ds=to_netcdf('retrieved_wind.nc')" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "executionInfo": { "elapsed": 18, "status": "ok", "timestamp": 1779436529223, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "ojWLRY-ZvJrI" }, "outputs": [], "source": [] } ], "metadata": { "colab": { "provenance": [] }, "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": "3.12.13" } }, "nbformat": 4, "nbformat_minor": 4 }