{ "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": 1, "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 /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (1.0.1)\n", "Requirement already satisfied: xarray==2024.3.0 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (2024.3.0)\n", "Requirement already satisfied: xarray-datatree==0.0.14 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (0.0.14)\n", "Requirement already satisfied: setuptools<82 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (81.0.0)\n", "Requirement already satisfied: numpy>=1.23 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (from xarray==2024.3.0) (2.4.6)\n", "Requirement already satisfied: packaging>=22 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (from xarray==2024.3.0) (26.2)\n", "Requirement already satisfied: pandas>=1.5 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (from xarray==2024.3.0) (3.0.3)\n", "Requirement already satisfied: xrft>=0.3 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (from lidarwind) (1.0.1)\n", "Requirement already satisfied: netCDF4>=1.5 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (from 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(6.0.3)\n", "Requirement already satisfied: toolz>=0.12.0 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (from dask->xrft>=0.3->lidarwind) (1.1.0)\n", "Requirement already satisfied: locket in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (from partd>=1.4.0->dask->xrft>=0.3->lidarwind) (1.0.0)\n", "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages (from requests[socks]->gdown>=4.5.1->lidarwind) (1.7.1)\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": "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": 2, "metadata": { "executionInfo": { "elapsed": 513, "status": "ok", "timestamp": 1779436472867, "user": { "displayName": "cmtrace drive", "userId": "13096459183179085940" }, "user_tz": -120 }, "id": "WBio5B-AvloE", "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] } ], "source": [ "# genneral imports\n", "import pooch\n", "\n", "import xarray as xr\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 3, "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": [ "/home/jdiasneto/miniforge3/envs/ccres/lib/python3.14/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": 4, "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": 5, "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": 6, "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": 7, "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 11.7 s, sys: 65.8 ms, total: 11.8 s\n", "Wall time: 12.2 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": 8, "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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<xarray.Dataset> 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
" ], "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": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking the wind dataset\n", "wind_ds" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "invalid_threshold = 100\n", "\n", "# plotting wind speed and direction\n", "plt.figure(figsize=(15,6))\n", "wind_ds.horizontal_wind_speed.where(wind_ds.nan_percentual" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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uXau0tDRFRESoWrVqfo+JjY1VWppbI55FR4ApyJzykmM4K0RR5FUzajjdqF3J/CDM9GDJsHhgjtV3kOXJvtVBjeEQuSyjA16zwJXcl3UVlW7TriQdYgKCAixrqGSdb9Ous8CmXUl29YzcOCWsZPeba/lbbtW2Zb0h67pARt/XVsPzJcO6VG7c99zIjdvZchis5QXyQDL3y1qAyVBUVJRfgOl4LrnkEt//W7durfbt26t+/fp69913VbGi4VARFyDAFGyVVaRxsGFGxZslu1lF8iyvhrh5iIvlwakbt4vVAYLlyZZR21n1bNqVpLBdRg278ECaiQ0KMp01x4jpUGmrbCDLoaqW33luzOhCQUb7iGmAyeq4xnLfc2NmjRs/iy7MJjcNMFGD6fhCpMj3sapVq6YzzzxT33//vS6++GJlZWUpPT3dL4tp586dhdZsOt0QYColphk1VgEPUt8LZ3llxI3c+F66sc9WjD7nh7wnX+dUedrZtR22ya5tScpra9SwG7NfLA/UrfpsmQ3qxhNEF14IcPX3v9GJc87JL96fOjdv72Bz42ccQKEOHDigH374QTfffLPatm2r8PBwzZ07V71795Ykbdq0Sdu2bVNSUlIp99QeAaZgqyyp3MlXc+vUtWbYHoVzYyq5G7nwxCWvklHDRn3OqWnTriTb7Ww4hbkkd55sWfXZjTVDLFnuG5b1aqy48XfLrbPIWbL6nFte7HPjvudGbtyfUTqyFPyEigA/53feeacuu+wy1a9fXzt27NADDzygcuXK6YYbblB0dLQGDhyokSNHKiYmRlFRURo6dKiSkpJO+wLfEgGm05Mbv6DdfGLhxgMPy2w0qxMXy+1sVSfDahiK5L5aV278XpJMZy805cYMJjeyPKl14xBpt37OrVh/Vtz4/eTm471gc+PnxbLPVvuGG2frk+xruKFYfv75Z91www3as2ePatWqpY4dO+rrr79WrVq1JEnPPPOMwsLC1Lt3b2VmZio5OVkvv/xyKfe6ZBBgKi2MFT99GG7vsEM27ZrW0+Lk83eWB/9W29nqYMnyRNzN33luLFxstb0tPy+Gs1Ca4bvUj1VdoDybZl3N6thDkvLc+H3twixn+lwC7Vq3HchxU1kr8h0CGUxvv/32Ce+vUKGCXnrpJb300kvF6JQ7EWA6HbnxCoAbDzjyGZ7ImQ2DciM31gBz40m+G7k5YM/7+Ds3bgvLYL3l9rCqHWU5XNXqiNXy+8M6C83oN8a0TqjVPkJA1v3YN4DTAgGm0mJ5NdXqgMaNNRvyufHERbLrtxuHyFly41AUt7EMtrmZ1WecjDF/bpzd0o3TgbtxKIrl8dhOw7Yld34W3fidZxVIdmPgw40XdNz6Pc0scscXgrPI4XcEmEqL5VXPWMO2rbg5S8CtbVtx4xUoy9mrrLgtU9FyX3bzCaIVy4CeG0+KrLjxu0Ny54G0G38PrRG4Lxlu/F3kexqnsywFP4rBZyZoCDAFWxFnkVOadUcMuPmD58YrLpI7t7kbs67cGERw2wGvW4ehWBekddv7KLlzdks3fpfS55Jp263DHA1Z1buSXFrzyqXvowm+l/yxbwAFEGAqLW78QnLjCUtJcOMBtRtZbgurEwyrOieS+/YNvj8K58bfAquMMcvhtW4MnLqRG4cbu/k9dOP3hxv77OZ9JNh4/0qubYp8Hx8ZTCGNAFOwZaloGUxu/IJ2Y5/zufXHxY1XbF0YrAlLt2k3zzLA5DZuDBBK9ifMbqyFY8WNQ8epdeXPjX22xPYoiJkzf+fGzBo37tNuDHwDLkaAqbQwTfzpw/AEo/wRm3ZzGG7mx5Wz9Vm9h24swOrGg/R8bgwwubHPVp+XvUbtSu6sO+fG4w/L38ODhm0bcuUscm78/nBrDTeUDIp8Hx9FvkNaWdsdAQAAAAAAEGRkMJ2O3JjKa83yCqXhFSjTq4hu49ZZyKzwOf+d5b5hfYXZjcMNrPrsxqv5bh0iZ9W2dVF8C278zrPmxt9bNxZrd+Nn3I3c+hkP5D0sazWYshX8KAYZTEHD6WtpceOPimWQxvqH0I2p05Lyqtm1bcaNB2Kw58bgQUlgv/6dG38X3bpfu/F72o2fFbee2Lr5eM+CW99HC26sdQWgRBFgKi1uPAiz/FGxZnkSYPleWhWJduP+x4FHyXDjFPTsGwW5sQaTJTf2me9pf1a/426uSejGGR2tPouWmchu/I1xY5+tuHVbBPJZKWsZTEWdVCvQNhEUBJiCrbKKtlUtCz+68cDRzRlMbmzb8kDMsuitFavgKcVjf+e2/uazPuBw4wGNG4OQbtzObgwSWv62WLVt2WcXTnohyZ1Z33zG/blxMgY3XiC3PM5z4/F0SclW8ANMDJELGgJMwVZFRduqbqxTYHkQ5uYpRN2YSu7GAwQ3XoGy3DcsrzBbsDz4t/w+tT7gcGOwxmp7WwYhmUUOpcGtmd9uHAZl+TsQZ9Su5TGCG2tdWW0Pt2a3UYMJLkWAqbRY/qi48UDaOnjgxiCQJTcOV3LjZ8byoMbqIM+qz5ZX8i33jR8M27bkxiK9bs1ys2K5X7vxIpcVN/6G57Pqu2Vg3Y2ZNW68CEqAyb7dUGo7x6wXoSlLUphBmwgKAkzBliUpr4jrWXHzwZIbufELKVSuuIRCu5Zth8qBRyi0a1kHzc3ZlVZ9d+MFAct9xOp9dOP3kmS337nx+MONwQNrbsy8svwdcGOmqdV76MZhfW48TpcC26cZ3oUQQoCptFheqeUL+vRBsKZkuHE7o2RYFdrPR8bp79yYaWrZZ8uAm9XvuRvfQ0vWwSs31ml04/toxXI7W51nWP62uDHYGyrH0x6zXoQmMphCGgGmYKusol01cOPBv5tZfmlwQO3PjcEaN2btuC0jw43ZXNZtS+68yuzGz7jVZ9GNRa0lu5NPy4As39MFuTED0uo7z42BDzce47mRWwMHgfSbDCaEEAJMpcWNqbxuTIstifbd+sNlxWrfduMQK8vPuVWRb6sTRMttYblvWJ8AuHGacat9xPK71KpIr2VtMTcG3NwY7HVjn/NZvY9WnxeJoEpJcWN2m9VvyzajdqXQuZhT1jKYshX8DCaCdEFDgCnYYlW0L4Q0644YCJUv0VNRz7Btyyu2VidcjYzaldxXfFpy55TdVt8hVidElicslidxlv2W7L77Eozalez6bDl03Op9tCwC7+bfXAtuDDBZ/gZYtm95omX1WbT8/rAK5FkWzHbjxWYrlp9DN9YrA4wRYAq22pIii7Ce5Y+KG7MxLDMQrFkGr6xYnjRbpam7seCtG09c3DjkwvK7ybLfltyYleHGoeNuzKyU7La1G2tSWfbZuoabG7+vrY4/3Dh5jmWmqdXnxY0lJ9xayiKQfpe10RRZCn7WVlnbhoYIMAVbZUkVirCe5YFjrFG7bvxRKQluPJGzRJ9/58agmNXBv2XWplvr4Eh2+54bT7bcGJxw4wUGiaB6SbQr2QeoLTMVrVh9f1hnm1pwY80yS1afRcuL+pb7nWVWntsRYAppBJiCrbKkikVcz4rVj4rlF7T1D6Ebiz9atm15QG21n1gGa6z2D+ur1xas+tzYqF3JLqgu2Z8guvFqvhU3DnV0aw0mN558Wr2HlkEay+Mmye633PLE1mpIkRv3aTdeHLH8XrL6jLtx1IgU2IU5zugRQtgdg626pEpFWM+tX3ZWrK88WW5vN16BcuOQRDeOc3fjVM8EqP1Zf59aBccst7fVvufGYZRu/L2V3Pf9YcnyPbTOMGKI3O8s++zGOo2WF16suPECV6gkDJS1M/psBT+DiSLfQVPWdkd7lVW0AJMbZ2Fw44w2+SyHMbjx4NSNRRotubHQslXmBCnq/rYbti258yqzG4OQVidblhcYLN9Dq4C9G7NjQyUD4VRY7deWs265MShrFWCyzBSz+p52YwF4S5bBq0CO8w6b9QIIGAGmYKusogVL3PijYsmNPyr53Fi/wY19dmORxloZRg1Lyo62aTc+16bdveVs2pVsr9RaB7/deJXZ6rNoeSEg2uizWMXocyi5M1jjxuMPy+xY64s5bqyl5cbsOasAkxuzyS2D6lYX5SyHjFv+hgfy+T5k1ovQZPGeurG0QIgiwBRssSraj5wbh8hZfvCsr2hZbm/LLBWrq4iW29uNqeRmB0yGl69jrU5sjT4slifiFQ0DeXGG/ZbcWUPFjVmyVp/FGOP9w4rVRR031mex/G1pbti2JJXbbdNuXC2bdiV3BpjcmD1ntZ3dmB3byKhdSYo2uignSY0CuDBnXe8NCAABpmCrLalqEdYjwOTPuhiy5dh8qwM8SapidJBnub2t9hPLg5paVgcIhhWAy7msGuYZlkf/huPYLANjklTOKDhmFoA0ZHmgbvVZTGhq065kOzzTjTNnWmV7WH0GJckwTnPUDzbNxhp23Grfc2PBfTcGZN04Q6npxYsNdk0ntCz6uvvtuhGSqMEU0ggwBVvNXCmqCAfJBw2Hi7hxOmbrtHrTIXiG0auzjA7yyhmeyGUZ7ttmrDKNvjdqV3LfWBTLo3/DgiERARzgnRKj74+KhkfUh4syVeqpsCxYY9R2xS027UpS9QZ2bVtluLlx5kzTK1D7DNuWpJU2zUZbjvsx+u2qbh7NCz7LYI3VuYBlsMbq2DTackMbfn8Esq3dOBEOTlsEmAAAAAAAQOizyDYigyloCDAF3XYVaYxcrOGVSaurC5YXAMr9Yti4pHjLge6GVyjLWV0dN3wzY4yGjJSznCLDaJiBadaOVXaU1b5hmUZoeAXRPCPDah8xzHCraLWPrDJqV7IbxmD421LL8D3MNsr2MB3maFVbwDLLaL5h25Jd1t8yo3Yls3T4ipZZvUZZm5ZZJ1abw7QQstVxjWVRQsMNEsj5HLNDI4QQYAq63SpSKf+KLpyn1WpUhCT7ucAtDyAt0+utGA4pKue2oVuS3XvoxrRsqwMxN1YGlRS91q5tSXYH1JaRMat9xLCWhVnb5xq1K9kFvmVYY8dyfnur33HLocyWbVuyDDBZ/S4afudVNLpAUtGyIKvR76Ll8GstNmrXpccfgUxgku2160coypLkBLlNMpiChgBT0O2TlFmE9SxrTVix/IK2nv7A8kTfje+lZWaNVduW76HV/mfZZ8srchYs9znLy8DrDduW7E6aLbe31efFcltbBWQtLzAY/i6Ws5pWyXK/s9rWln22rsFk9RtjuU2sslmtt7UFyz5bBdwsL5BbBZgsM6gtp6gL5PyijE0jR4AppBFgCrp9ko4UYT3LLzurQJAbf7zzWZ4EWJ7oW/1gWG4Pq7YtA3lW+7YbM5isDh4tD34sg9/WRxxu/Ly48TfGantYnohbYr/7nZsvQFm9j5bHqG4MULvxd9HqPbT8TbTKNLUcJWF5/BFIFmsRRs8AJYQAU9AdkFSUGgSWJ/hunJvUepiZG7NfJMlqJhc3XnW3HD5jleJseXLhtnnGLT+DlsMyrb+brD4vhsOrzL6XLPcR62HYFixPmM8yateFQ35ce3wglddmk3ZzTLeJ1bBSq+wXyXYorBWr4aruu0AZpVSTdiXJa5rBFMh7aFmnNARlK/gZTDlBbq8MI8AUdOkqWgaTaZU8I5YHStZXga3ma5Vst4sbM5isgipuPHFx2zA2yZ1DPt1YBy2fGwtmW51s2X3Gw4yOHPNMPy9uzI615MbfQ9vKu+WLdLwZONsAk1Xgw/IilFFhctPtbHWx2fK3xeYzfqFJq0f91zTzNpALRUUpzwKUDAJMQbdPUmQp98GNB2HWB7uWNVosMwXcWF/BKlPAMkvF6iTAMrBp9R5aHSxZFp22PMCzytbJZxVEsCy2bHXF1o2BQsuTWktWgTHLoJhVRpdlQWs3Tnoh2QbGrI4R3Jhlb7nvJRu1O8uoXclqv7O9pG95/hLIZ6WMFRDKkpQX5DbJYAoaAkxBt1OlP1ekGzNIrANMlie3bjwpspzZJsGoXcvCklbvoeXJhdVBuhu3heX3h2X6u+TOGj5W29vufcxTJaOWLYextTFs2+rCiOVn0WYIVAVtMmlXko7oYrO2Jbtv1SOmp+RWQdnzjdqV7I7rLTMgbdoO0y8m7UpSnqJN2nVjvuZRgXwOy1iACSGNAFPQ5UjyFGE9t6bVW7EelmMZnLAKqEhWBzXl9atJu5KUYxb4sNyvrQKQlsEDmyBhmAKYFjcAwb7QVHIshwNIdiculhc6rOpkbDFpV5K8amrSblfD4MRcJZq1bfeba3mSY7NPW/6Cbza9mGPJ7oJAhNExQpYrLyS6b/KcswzDNVa/trYBJsts4UA+h2Us/YYMppBGgCnotqtom9WNBYstgzTWQTHLHwDLEzmb99KqHslRVj/llu+h1b5td5BuFQiyqumRZXqI5+bi0M2N2rXcJjYnRZaDEb2uHHph+Z3nxqH07htuFqbdpu1bhVR+Mz3es2IZrHFjDozNt5PlEa/VsWlpjys5dYG8h0WZYAooGQSYgm6fpHJFWM+ybo/V9TjLg13roueWJ4mW1z9tDqgrGAaYsszeSzcWHbU7SM8z+vrOUQWTdm2zuayCNLazz0iS1yys4r4hiW48pbUNebix+LRlnxubtGr5HtpezLEr47zZ8HivptE22eHCi30VlG7SrmQ3zNGN39O2ZxiW5xeBzPZZxtJvshX8DCZidEFDgCnodqtoQ+Qsv6KtCgtbpr67ceaqfJYBJvddgbJjd3Uyyuggz6s/m7R7lM1BjdUJUYzhFeDfzE6zSmK+T6uDU8tptd0YYHJf9ostq98Wu0Cy1cULu28PaZ3xSZ/Vb3kFw+Gqdt+plt/WNsfVlt95O4yO2d2YwWTJss95Af3WlrHoSJaKls8RiDK2CS0RYAqycB2QpwgBpizTgIobh8hZF8p2Xz2SozgpyhdhGKCwKuO8wvCA1+qgppLREDnLPfk30+LQtj+TVvu17ZBEN3JfWL289pi1bXVKVN/wZGuz0YAwy0tE1qy+Vy2nNrDL37fMsq9n0qrtt5LNsanlEa/VcY1l6LGK4W+tN6Ct7d5Klzj9EGAKsqrKVVgR1vMaplTafZG2MWs5wnTIoJRlGhyzrtESfG48qLE8cbG7gm03w5TVgZjVCYtl+dWthm1HGV9RtTs0dd/wKjfOx2kZxrMMbloFr2wGsR212ei31rICpPX3h9UAWzdWtTtiemRjE7yyDG5uNeqz5b5hdaRuuWdY1g48EEANN0eOHMO+hBwymEIaAaYga6CibdQDhgcd68yGEtl9RVunxUYYnrpkmc8yFXyWP4i7DGeos2J3kmh36uK2YpiWw1Asv5ussxvWufJn2OYU0TbwbXPqYpmZZ1Vw35LlexihxSbt2mY32LJq37LfVt+p6wz3PqtafLa/i+77znPjlBeWl683B3R8UKbCSwhxbjyyDWmdJEUWYT3LH5WHjerJ/BZQsbnANNc7Zm0fZRfA2mdYpHGrWct22hqdFFmWiLYasNpCu4xatqtI1ceoXcswbE19ata2dQ0mq4L7WYanAe21yaRd25Mtq1OXD43alVoY/m5ZfZ9aDlK6xGh7WGahWWflnW/U7n+M2pXsPufrjNqVpMuM2rWv8Rd8lgEmq7atKtNKtnMXBjKE3pFjWik35GQr+BlHjDIMGgJMQVZdKtIcTPOtO2LCLu/FelYKyx9xyyu2W41+bi0PqK0OHi3fQzfO42U5rMNt7ELf9pV77AYH233KrfZr25Nxm167uTKhBffN4yV9b9SuJB0wzmGyquFmWSXU7jNjt/dZDfG2Lg7hnlZtWQZeLL/zAivvkSfpN6uuAAEhwBRkf5JUqQjr/VfVzPoQb5ZRY/dTaB1gsryqasvm0NfykNcqwGR5smXVZ8uhiFb7tNXBkluDvLZZNXbffTtMc/5s2M4lanOKSCl1f5bbw6rwtOXxQV6RjgiLw317oN3xnt2vjFWfbb+lbY7ZLX/Lrdp23xQP+QI5isxVmQowZUtFKnocCDKYgoYAU5A1VNFO3i1nxLJr2e4wzM1zyFkGx6yKn1sH9Cy4MS3bjXMAWvXZ8qDUcsYja1b1SHYYfuttMGrX9lTZfdmg7gsRWg8XsWFZmHyRcb6H1T5i+dtld7znvjCC5d5xhmH5BitW+53l97TtXhfIJ5zoCEIHAaYgqy6pahHWsyxqbfeDZTdbmu2Va9sfAMvhOVYzp1luD6sfcstMEqtMI8uDGqsgoVWf3ZiBJknLDNuW7E5ulyjcqGW799Jy1jSrU3HLE/GthpnOVieflrVOrL7zLE/yrQu1Ww3vs9wmdr8Fdp9Gq6C6Zfac1XY+16hdSWa/Wpbf07YjJAL5Ri1jQ+SyRAZTCCPAFGThKtoXpOXMRD8Zva3ltcSkXcmN151+Z3nFtp5Ru5aBD6sfcqsSvZLd9rAc9++2OjjrVNuoZekGw2Lq1llodifkbsyfs2QzA5kt9/0yujE71lJt4wCTG7MJLY+ZrFhdBLWsweRVU5N2qxhN8uBWtiMwAinjnyXpJ6uOhJ5sSZ4gt8lEfEFDgCnIslW0k8o/G/Zhu1HWS1fDrCurg6R8lgG9/2vvzoOiutKwgT+NCI1sCgKCApJxIaKDO6Im4AZl1ImJUT+cUUDMxCk0ImUlmhjRMeM+ETQY40pGB9BEo1lcYmEUo6gfCEwwhlKj44pioiI4gML5/rC4ny2LYPPaEJ5fFVX2vYf3nm5f7vL2uedKfnshdbIuOamp1IiMQUJxAWC/UFy5MX9yFwBSOWeG+0KRZUcwSe+b5C7I5T4VC6ELjFLBYwxwUiSqZAnITrBwKjVCRbIwIXWsldxPS00OXUFq9K3kg2gaY+lbaj8tW0KWKeVJ5nRjLD7K/h/WJfNKxHpBVFcsMNWzXyA7RLw2pOYjGSMUFwDiBWMDsie9kp+L1Hfu3YXiAnLFPMkiglTxSjLvpC4ApD4Lycluzwl+0v/GJ2KxAWAZ/iYUWe5GhigcFom7TCRqhS4iUf8vrorEBWRvRUkRGlFYKlgUyxaLLEe6mCJ1cVsgOOL0D0I5cq0RTngumR+FQp+z5NxwUtdPkuePWYKx63YW2Rif72eEUnAEUwPGAlM9+wq1O+BLfjskeSuRFOnJTCWLfpInCFKHC8lJkaXn05Ig9TlL5sb/EYorNdzbHAVCkeXnSZIkN4JJrjwh9fcieRFwUeivsTHOOfSIzGwnd6AXiQsAeUK3mzXGETUV5C4p5SL/KJYjcjcr/SQWWY5U8VHyHE/q3FRyXyp7/VKXoyJHMFHDwQKTiUjWmaV2pJL3GV9DW8HogJvgt8yS35lJXXBJ/l82trmBgMZZYJI6eWyMT66SmqvsEcmZtCTzWu7ZWI1xInip75klL1xkb6+S2Ts5Cx5rpW5lk3xQh3TxSuocQfJJxw/FCkxypQ+po4Dk3/g1oUs8C8FbmaX+XqRuJQWkb5GrS/QmNkN1AxrBFB8fj+XLlyMvLw++vr5YvXo1+vaVnAyn4WOBqZ55A7U6dEoO9ZbaQTfmR4FLkpykUerEV3K6W6lbrCQ/Z6k5qSRHZEid/kt9zg/hKRQZsBaddFTuaWwAECsWufE9q6lA8KlpFkLlCckCQpFgbKnLIsnzhDShwoSN4ETcjfUWuVLB0qnU3GIFsBeJS4YkCypSX/ZJzu0kVcijxmHbtm2Ijo7G2rVr4efnh9jYWAQHByM3NxfOznK3Gjd0/KuoZ15ArWYakfzGXeqyQvJkt6Pgt57SJIcLSxVrJEfQSc3BJNlnqYKv5N9545ukVy6y7IX4HNHot8QOw3KPH5Cb8FYuR/RC37o3xgcmPCJzmSg5b9QRvCQS9zccEIkLyD8HUO4hBHKFdbnPRO5IILVnknwAjafQPk9yNJDU/2CWUFxAckQeULcjTBObg0l2cHmtffTRR3jzzTcRHh4OAFi7di2+/fZbbNq0CbNnzzZx70yHBaZ6otSjcXX5BYBVLdpL/l1I7aBPCMUF6vYgzmdxXDC23LOxgLtCcSXzz1YobiehuACwWCiu3KxDwD2huJZiceWKyJKnVd/gjmB0IEQobqngKbWrUNwyNBOKDLQWutiSG5cHwemyAeCWSFTZ8X4yeyfJY7j0U7HkckTu8kBqpphm+J9QZMBNKK6ZUFwAaC0U94pQXADoLBhbimTeleNC7RsXPDrGVVyP/t5JnF9XxCwoMIxuaWkJS8vKx5/S0lJkZGRgzpz//0WkmZkZhg4dirS0NIEeNh461VQyUdiVK1fg7i75XQQRERERERFRZZcvX0a7du1M3Q0xxcXF8PLyQl6ezP0jNjY2KCw0HLMYExOD+fPnV2p77do1tG3bFseOHYO/v7+2/J133sHhw4dx4oTk0IyGjSOY6ombmxsuX74MW1tb6HT1PesYNUYFBQVwd3fH5cuXYWdnZ+ruUBPAnCNTYN6RKTDvyBSYd/S81SbnlFK4d+8e3Nykxts1DHq9HhcuXEBpqczYdaVUpev4qkYvUc1YYKonZmZmv+uKMT07Ozs7noTQc8WcI1Ng3pEpMO/IFJh39Lw9Lefs7ZvGRPd6vR56veTcV7XTunVrNGvWDDduGD5/+caNG2jTRvIxPw2f5O2/RERERERERES/GxYWFujVqxdSUlK0ZeXl5UhJSTG4Za4p4ggmIiIiIiIiIqJaio6ORmhoKHr37o2+ffsiNjYWRUVF2lPlmioWmIiEWFpaIiYmhvfu0nPDnCNTYN6RKTDvyBSYd/S8MecarvHjxyM/Px/z5s1DXl4eunfvjn379sHFxcXUXTMpPkWOiIiIiIiIiIiMwjmYiIiIiIiIiIjIKCwwERERERERERGRUVhgIiIiIiIiIiIio7DARERERERERERERmGBiegJqampGDVqFNzc3KDT6bBr1y6D9UopzJs3D66urrCyssLQoUNx9uzZGmNev34dEyZMQKdOnWBmZoaoqKgq233++efw9vaGXq9Ht27dsGfPnnp6V9TQSeTdzp07MWzYMDg5OcHOzg7+/v7Yv39/pXbx8fFo37499Ho9/Pz8cPLkyfp8a9SASeTdDz/8gAEDBsDR0RFWVlbw9vbGypUrK7Vj3jVdEnn3uKNHj8Lc3Bzdu3evtI551zRJ5NyhQ4eg0+kq/eTl5Rm0Y841XU/Lu507dyIoKAiOjo7Q6XTIysqqVdz//Oc/eOmll6DX6+Hu7o5ly5ZVasNrCjIVFpiInlBUVARfX1/Ex8dXuX7ZsmVYtWoV1q5dixMnTsDa2hrBwcEoLi6uNmZJSQmcnJwwd+5c+Pr6Vtnm2LFjCAkJQUREBDIzMzF69GiMHj0aOTk59fK+qGGTyLvU1FQMGzYMe/bsQUZGBgYNGoRRo0YhMzNTa7Nt2zZER0cjJiYGp06dgq+vL4KDg3Hz5s16f4/U8EjknbW1NaZNm4bU1FScOXMGc+fOxdy5c7Fu3TqtDfOuaZPIuwp37tzBpEmTMGTIkErrmHdNl2TO5ebm4vr169qPs7Ozto4517Q9Le+KioowcOBALF26tNYxCwoKEBQUBE9PT2RkZGD58uWYP3++wTGW1xRkUoqIqgVAffnll9rr8vJy1aZNG7V8+XJt2Z07d5SlpaVKSkqqVcyAgAA1Y8aMSsvHjRunRowYYbDMz89PvfXWW8/Ud2q8JPKuQpcuXdSCBQu013379lWRkZHa67KyMuXm5qYWL1787G+AGiXJvHvttdfUX/7yF+01844q1HfejR8/Xs2dO1fFxMQoX19fg3XMO1Kq/nLu+++/VwDU7du3q23DnKMKT+bd4y5cuKAAqMzMzKfGWbNmjWrVqpUqKSnRlr377ruqc+fO2mteU5ApcQQTUR1cuHABeXl5GDp0qLbM3t4efn5+SEtL05YFBgYiLCysTrHT0tIM4gJAcHCwQVxqmuor78rLy3Hv3j04ODgAAEpLS5GRkWEQ18zMDEOHDmXeUb3lXWZmJo4dO4aAgAAAzDuqmTF5t3nzZvzyyy+IiYmpFJd5R9Uxdl/XvXt3uLq6YtiwYTh69Ki2nDlH9SEsLAyBgYHa67S0NLz88suwsLDQlgUHByM3Nxe3b9/W2vCagkyFBSaiOqi4r97FxcVguYuLi8E99x4eHnB1da1z7KfFpaapvvJuxYoVKCwsxLhx4wAAt27dQllZGfOOqmRs3rVr1w6Wlpbo3bs3IiMjMWXKFADMO6rZs+bd2bNnMXv2bGzduhXm5uaV4jLvqDrPmnOurq5Yu3YtduzYgR07dsDd3R2BgYE4deoUAOYc1Q9XV1d4eHhor6u7XqhYV1Mb5h09D5WPwERktH/961+m7gI1QTXlXWJiIhYsWIDdu3cbzA9BZKzq8u7IkSMoLCzE8ePHMXv2bHTo0AEhISHPuXf0e/V43pWVlWHChAlYsGABOnXqZMJe0e/Zk/u6zp07o3Pnztrr/v374/z581i5ciW2bNnyvLtHv1OLFy82dReI6oQjmIjqoE2bNgCAGzduGCy/ceOGts6Y2BJxqfEzNu+Sk5MxZcoUbN++3WDIdOvWrdGsWTPmHVXJ2Lzz8vJCt27d8Oabb2LmzJmYP38+AOYd1exZ8u7evXtIT0/HtGnTYG5uDnNzc/z9739HdnY2zM3NcfDgQeYdVas+z+369u2Lc+fOAeC+jmRUd71Qsa6mNsw7eh5YYCKqAy8vL7Rp0wYpKSnasoKCApw4cQL+/v5Gxfb39zeICwAHDhwwOi41fsbkXVJSEsLDw5GUlIQRI0YYrLOwsECvXr0M4paXlyMlJYV5R/W6vysvL0dJSQkA5h3V7Fnyzs7ODj/++COysrK0n6lTp6Jz587IysqCn58f846qVZ/7uqysLO02OuYcSfD390dqaioePHigLTtw4AA6d+6MVq1aaW14TUGmwlvkiJ5QWFioffsEPJr8MSsrCw4ODvDw8EBUVBQ+/PBDdOzYEV5eXvjggw/g5uaG0aNHa78zadIktG3b1mBYa1ZWlhY/Pz8fWVlZsLCwQJcuXQAAM2bMQEBAAP75z39ixIgRSE5ORnp6usFjR+n3SyLvEhMTERoairi4OPj5+Wn33ltZWcHe3h4AEB0djdDQUPTu3Rt9+/ZFbGwsioqKEB4e/vzePJmMRN7Fx8fDw8MD3t7eAIDU1FSsWLECb7/9tvY7zLumrb7zzszMDF27djXYhrOzM/R6vcFy5l3TJbGvi42NhZeXF3x8fFBcXIwNGzbg4MGD+O6777TfYc41bU/Lu99++w2XLl3CtWvXAAC5ubkAHo1AqhhtNGfOHFy9elW7RbPiduCIiAi8++67yMnJQVxcHFauXKlth9cUZFKmfowdUUNT8djZJ39CQ0OVUo8eZ/vBBx8oFxcXZWlpqYYMGaJyc3MNYgQEBGjtK1QV09PT06DN9u3bVadOnZSFhYXy8fFR3377reA7pYZEIu8CAgJqjFlh9erVysPDQ1lYWKi+ffuq48ePC79baigk8m7VqlXKx8dHtWjRQtnZ2akePXqoNWvWqLKyMoPfY941XVLH2cfFxMQoX1/fSsuZd02TRM4tXbpU/eEPf1B6vV45ODiowMBAdfDgwUrbZs41XU/Lu82bN1e5PiYmRosRGhqqAgICDOJmZ2ergQMHKktLS9W2bVu1ZMmSStvmNQWZik4ppUQqV0RERERERERE1CRwDiYiIiIiIiIiIjIKC0xERERERERERGQUFpiIiIiIiIiIiMgoLDAREREREREREZFRWGAiIiIiIiIiIiKjsMBERERERERERERGYYGJiIiIiIiIiIiMwgITERERERER1bvFixejT58+sLW1hbOzM0aPHo3c3FyDNsXFxYiMjISjoyNsbGwwZswY3LhxQ1ufnZ2NkJAQuLu7w8rKCi+++CLi4uIMYuzcuRPDhg2Dk5MT7Ozs4O/vj/379z+1f4GBgdDpdFiyZEmldSNGjIBOp8P8+fOf7c3XUnFxMcLCwtCtWzeYm5tj9OjRldqEhYVBp9NV+vHx8RHtG1FdscBEREREjVb79u0RGxtr6m4QEVEVDh8+jMjISBw/fhwHDhzAgwcPEBQUhKKiIq3NzJkz8fXXX+Pzzz/H4cOHce3aNbz++uva+oyMDDg7O2Pr1q04ffo03n//fcyZMwcff/yx1iY1NRXDhg3Dnj17kJGRgUGDBmHUqFHIzMx8ah/d3d2RkJBgsOzq1atISUmBq6ur8R/CU5SVlcHKygpvv/02hg4dWmWbuLg4XL9+Xfu5fPkyHBwcMHbsWPH+EdWFTimlTN0JIiIiopokJCQgKioKd+7cMVien58Pa2trtGjRwjQdIyKiWsvPz4ezszMOHz6Ml19+GXfv3oWTkxMSExPxxhtvAAB+/vlnvPjii0hLS0O/fv2qjBMZGYkzZ87g4MGD1W7Lx8cH48ePx7x586ptExgYiC5dumD79u3YvXs3BgwYAABYtGgRjh8/jkuXLmH06NHaKKYtW7YgLi4Oubm5sLa2xuDBgxEbGwtnZ2copdCxY0dMnToVs2bN0raRlZWFHj164OzZs+jQoUONn09YWBju3LmDXbt21dhu165deP3113HhwgV4enrW2JboeeIIJiIiImq0nJycWFwiImok7t69CwBwcHAA8Gh00oMHDwxG7nh7e8PDwwNpaWk1xqmIUZXy8nLcu3evxjYVLCws8Oc//xmbN2/WliUkJGDy5MmV2j548AALFy5EdnY2du3ahYsXLyIsLAwAoNPpMHnyZIM4ALB582a8/PLLTy0u1cXGjRsxdOhQFpeowWGBiYiIqIkJDAzE9OnTERUVhVatWsHFxQXr169HUVERwsPDYWtriw4dOmDv3r3a7+Tk5GD48OGwsbGBi4sLJk6ciFu3bmnr9+3bh4EDB6Jly5ZwdHTEyJEjcf78eW39xYsXodPpsHPnTgwaNAgtWrSAr69vjRcQFQ4dOoTw8HDcvXtXm3ei4tvkJ2+R0+l0+PTTTzFy5Ei0aNFC+xb83LlzCAwMhLW1Nfr372/QNwDYvXs3evbsCb1ejxdeeAELFizAw4cPn/ETJiKiJ5WXlyMqKgoDBgxA165dAQB5eXmwsLBAy5YtDdq6uLggLy+vyjjHjh3Dtm3b8Ne//rXaba1YsQKFhYUYN25crfo2efJkbN++HUVFRUhNTcXdu3cxcuTIKtsNHz4cL7zwAvr164dVq1Zh7969KCwsBPBoBFJubi5OnjwJ4FFBKjExscpi1bO6du0a9u7diylTptRbTKL6wgITERFRE/TZZ5+hdevWOHnyJKZPn46//e1vGDt2LPr3749Tp04hKCgIEydOxP3793Hnzh0MHjwYPXr0QHp6Ovbt24cbN24YnLgXFRUhOjoa6enpSElJgZmZGV577TWUl5cbbPf999/HrFmzkJWVhU6dOiEkJOSphZz+/fsjNjYWdnZ22vwTj99+8KSFCxdi0qRJyMrKgre3NyZMmIC33noLc+bMQXp6OpRSmDZtmtb+yJEjmDRpEmbMmIGffvoJn376KRISEvCPf/zjGT9dIiJ6UmRkJHJycpCcnPzMMXJycvDqq68iJiYGQUFBVbZJTEzEggULsH37djg7OwMA/v3vf8PGxkb7OXLkiMHv+Pr6omPHjvjiiy+wadMmTJw4Eebm5pViZ2RkYNSoUfDw8ICtrS0CAgIAAJcuXQIAuLm5YcSIEdi0aRMA4Ouvv0ZJSYk2V5KPj4/Wh+HDhz/TZ/DZZ5+hZcuWVU4GTmRyioiIiJqUgIAANXDgQO31w4cPlbW1tZo4caK27Pr16wqASktLUwsXLlRBQUEGMS5fvqwAqNzc3Cq3kZ+frwCoH3/8USml1IULFxQAtWHDBq3N6dOnFQB15syZp/Z58+bNyt7evtJyT09PtXLlSu01ADV37lztdVpamgKgNm7cqC1LSkpSer1eez1kyBC1aNEig7hbtmxRrq6uT+0XERE9XWRkpGrXrp365ZdfDJanpKQoAOr27dsGyz08PNRHH31ksOz06dPK2dlZvffee9VuJykpSVlZWalvvvnGYHlBQYE6e/as9nP//n2l1KPj4YwZM5RSSn388ceqT58+ytraWp0+fVoppZSvr6+KiYlRSilVWFioHB0d1YQJE1Rqaqo6c+aM2r9/vwKgMjMztW199dVXyt7eXt2/f1+NHDlSTZkyRVt38eJFrQ9Xrlyp1P/Q0FD16quvVvv+ysvLVYcOHVRUVFS1bYhMqXJZloiIiH73/vjHP2r/btasGRwdHdGtWzdtmYuLCwDg5s2byM7Oxvfffw8bG5tKcc6fP49OnTrh7NmzmDdvHk6cOIFbt25pI5cuXbqk3Qrx5HYrns5z8+ZNeHt7i7y3ivfx5HsrLi5GQUEB7OzskJ2djaNHjxqMWCorK0NxcTHu37/POZ6IiJ6RUgrTp0/Hl19+iUOHDsHLy8tgfa9evdC8eXOkpKRgzJgxAIDc3FxcunQJ/v7+WrvTp09j8ODBCA0NrXZ0aVJSEiZPnozk5GSMGDHCYJ2trS1sbW1r7OuECRMwa9Ys+Pr6okuXLpXW//zzz/j111+xZMkSuLu7AwDS09MrtXvllVdgbW2NTz75BPv27UNqaqq2ztg5kw4fPoxz584hIiLCqDhEUlhgIiIiaoKaN29u8Fqn0xks0+l0AB7NmVFYWIhRo0Zh6dKlleJUFIlGjRoFT09PrF+/Hm5ubigvL0fXrl1RWlpa7XYf30Z9qmobNW23sLAQCxYsMHgsdgW9Xl+vfSMiakoiIyORmJiI3bt3w9bWVptXyd7eHlZWVrC3t0dERASio6Ph4OAAOzs7TJ8+Hf7+/toT5HJycjB48GAEBwcjOjpai9GsWTM4OTkBeHRbXGhoKOLi4uDn56e1qdhGbbRq1QrXr1+vdHys4OHhAQsLC6xevRpTp05FTk4OFi5cWKlds2bNEBYWhjlz5qBjx44GhbLq/PTTTygtLcVvv/2Ge/fuISsrCwDQvXt3g3YbN26En5+fwRc3RA0JC0xERERUo549e2LHjh1o3759lXNS/Prrr8jNzcX69evx0ksvAQB++OGHeu2DhYUFysrK6jVmhZ49eyI3N7den/BDRETAJ598AuDRwyUet3nzZu3paytXroSZmRnGjBmDkpISBAcHY82aNVrbL774Avn5+di6dSu2bt2qLff09MTFixcBAOvWrcPDhw8RGRmJyMhIrU1oaCgSEhJq3d8nJxt/nJOTExISEvDee+9h1apV6NmzJ1asWIE//elPldpGRERg0aJFCA8Pr9V2X3nlFfz3v//VXvfo0QPAoxFgFe7evYsdO3YgLi6ulu+G6PljgYmIiIhqFBkZifXr1yMkJATvvPMOHBwccO7cOSQnJ2PDhg1o1aoVHB0dsW7dOri6uuLSpUuYPXt2vfahffv2KCwsREpKCnx9fdGiRYt6u3Vt3rx5GDlyJDw8PPDGG2/AzMwM2dnZyMnJwYcfflgv2yAiaooeL5BUR6/XIz4+HvHx8VWunz9/vvbk0OocOnToGXr39N+rGElUISQkBCEhIQbLqnqPV69eRfPmzTFp0qRa9aOiUFYTe3t73L9/v1bxiEyFT5EjIiKiGrm5ueHo0aMoKytDUFAQunXrhqioKLRs2RJmZmYwMzNDcnIyMjIy0LVrV8ycORPLly+v1z70798fU6dOxfjx4+Hk5IRly5bVW+zg4GB88803+O6779CnTx/069cPK1euNHquDCIialpKSkpw5coVzJ8/H2PHjtXmASRqKnSqNmVlIiIiIiIiIqpWQkICIiIi0L17d3z11Vdo27atqbtE9FyxwEREREREREREREbhLXJERERkcsOHD4eNjU2VP4sWLTJ194iIiIjoKTiCiYiIiEzu6tWr+N///lflOgcHBzg4ODznHhERERFRXbDARERERERERERERuEtckREREREREREZBQWmIiIiIiIiIiIyCgsMBERERERERERkVFYYCIiIiIiIiIiIqOwwEREREREREREREZhgYmIiIiIiIiIiIzCAhMRERERERERERnl/wGTB0ajARJt+gAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "invalid_threshold = 50\n", "\n", "# plotting wind speed and direction\n", "plt.figure(figsize=(15,6))\n", "wind_ds.horizontal_wind_speed.where(wind_ds.nan_percentual