diff --git a/notebooks/mrr/Crocus-Thredds-Cookbook.ipynb b/notebooks/mrr/Crocus-Thredds-Cookbook.ipynb
new file mode 100644
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@@ -0,0 +1,1990 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# **L**oading **A**nd **V**isualizing mrr dat**A** (LAVA)\n",
+    "Acknowledgments should be given to Bobby Jackson and Zach Sherman for their help as well"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "Within this notebook, we will cover:\n",
+    "1. General overview of the MRR and its variables\n",
+    "2. Reading the MRR data through the CROCUS Thredds Server\n",
+    "3. Visualizing the radar data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Prerequisites\n",
+    "| Concepts | Importance | Notes |\n",
+    "| -------- | ---------- | ----- |\n",
+    "| [Matplotlib Basics](https://foundations.projectpythia.org/core/matplotlib/matplotlib-basics.html) | Helpful | Basic plotting |\n",
+    "| [NumPy Basics](https://foundations.projectpythia.org/core/numpy/numpy-basics.html) | Helpful | Basic arrays |\n",
+    "| [Intro to Xarray](https://foundations.projectpythia.org/core/xarray/xarray-intro.html) | Helpful | Basic features |\n",
+    " - **Time to learn**: 45 minutes\n",
+    "## Installation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This is all the installation required to run this code."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "`conda env create -f mrr.yml`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# An Overview of the MRR-Pro\n",
+    "The MRR-Pro is a vertically pointing weather radar located at Northeastern Illinois University used to measure rain. It is used to collect data like reflectivity, radial velocity, drop size distribution, log attenuated power, signal to noise ratio, melting layer, doppler spectrum width, rainfall rate, and liquid water content. \n",
+    "\n",
+    "![alt text](/ecr-icon.jpg) \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 307,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.dates import DateFormatter\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "from siphon.catalog import TDSCatalog\n",
+    "import xarray as xr\n",
+    "import sys\n",
+    "import cmweather"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Data Preprocessing\n",
+    "Define a function used to make sure no files without data are counted."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 310,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def catch_bad_file(cds):\n",
+    "    try:\n",
+    "        return cds.remote_access(use_xarray=True)\n",
+    "    except:\n",
+    "        print(\"Exception: \", sys.exc_info()[0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Accessing the CROCUS Thredds server\n",
+    "The TDSCatalog is an object that stores the description of the THREDDS server. In this case it takes the CROCUS Thredds server URL. This creates a catalog of all the files so it is easier to call and use them."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 311,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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'crocus-neiu-mrrpro-a1-20230821.150000.nc', 'crocus-neiu-mrrpro-a1-20230821.220000.nc', 'crocus-neiu-mrrpro-a1-20230822.010000.nc', 'crocus-neiu-mrrpro-a1-20230822.030000.nc', 'crocus-neiu-mrrpro-a1-20230822.070000.nc', 'crocus-neiu-mrrpro-a1-20230822.110000.nc', 'crocus-neiu-mrrpro-a1-20230822.130000.nc', 'crocus-neiu-mrrpro-a1-20230822.150000.nc', 'crocus-neiu-mrrpro-a1-20230822.170000.nc', 'crocus-neiu-mrrpro-a1-20230822.180000.nc', 'crocus-neiu-mrrpro-a1-20230822.200000.nc', 'crocus-neiu-mrrpro-a1-20230822.220000.nc', 'crocus-neiu-mrrpro-a1-20230823.030000.nc', 'crocus-neiu-mrrpro-a1-20230823.070000.nc', 'crocus-neiu-mrrpro-a1-20230823.130000.nc', 'crocus-neiu-mrrpro-a1-20230823.150000.nc', 'crocus-neiu-mrrpro-a1-20230823.170000.nc', 'crocus-neiu-mrrpro-a1-20230823.180000.nc', 'crocus-neiu-mrrpro-a1-20230824.030000.nc', 'crocus-neiu-mrrpro-a1-20230824.050000.nc', 'crocus-neiu-mrrpro-a1-20230824.130000.nc', 'crocus-neiu-mrrpro-a1-20230824.150000.nc', 'crocus-neiu-mrrpro-a1-20230824.170000.nc', 'crocus-neiu-mrrpro-a1-20230824.180000.nc', 'crocus-neiu-mrrpro-a1-20230824.200000.nc', 'crocus-neiu-mrrpro-a1-20230824.220000.nc', 'crocus-neiu-mrrpro-a1-20230825.150000.nc', 'crocus-neiu-mrrpro-a1-20230825.170000.nc', 'crocus-neiu-mrrpro-a1-20230826.030000.nc', 'crocus-neiu-mrrpro-a1-20230826.050000.nc', 'crocus-neiu-mrrpro-a1-20230826.080000.nc', 'crocus-neiu-mrrpro-a1-20230826.110000.nc', 'crocus-neiu-mrrpro-a1-20230826.150000.nc', 'crocus-neiu-mrrpro-a1-20230826.180000.nc', 'crocus-neiu-mrrpro-a1-20230826.200000.nc', 'crocus-neiu-mrrpro-a1-20230826.220000.nc', 'crocus-neiu-mrrpro-a1-20230827.030000.nc', 'crocus-neiu-mrrpro-a1-20230827.050000.nc', 'crocus-neiu-mrrpro-a1-20230827.110000.nc', 'crocus-neiu-mrrpro-a1-20230827.130000.nc', 'crocus-neiu-mrrpro-a1-20230827.170000.nc', 'crocus-neiu-mrrpro-a1-20230827.200000.nc', 'crocus-neiu-mrrpro-a1-20230828.050000.nc', 'crocus-neiu-mrrpro-a1-20230828.070000.nc', 'crocus-neiu-mrrpro-a1-20230828.150000.nc', 'crocus-neiu-mrrpro-a1-20230828.220000.nc', 'crocus-neiu-mrrpro-a1-20230829.010000.nc', 'crocus-neiu-mrrpro-a1-20230829.130000.nc', 'crocus-neiu-mrrpro-a1-20230829.150000.nc', 'crocus-neiu-mrrpro-a1-20230829.220000.nc', 'crocus-neiu-mrrpro-a1-20230830.090000.nc', 'crocus-neiu-mrrpro-a1-20230830.100000.nc', 'crocus-neiu-mrrpro-a1-20230830.120000.nc', 'crocus-neiu-mrrpro-a1-20230830.140000.nc', 'crocus-neiu-mrrpro-a1-20230830.160000.nc', 'crocus-neiu-mrrpro-a1-20230830.190000.nc', 'crocus-neiu-mrrpro-a1-20230830.210000.nc', 'crocus-neiu-mrrpro-a1-20230831.020000.nc', 'crocus-neiu-mrrpro-a1-20230831.100000.nc', 'crocus-neiu-mrrpro-a1-20230831.140000.nc', 'crocus-neiu-mrrpro-a1-20230831.160000.nc']\n"
+     ]
+    }
+   ],
+   "source": [
+    "cat_url = 'https://thredds.crocus-urban.org/thredds/catalog/neiu-mrrpro-a1/catalog.html'\n",
+    "cat = TDSCatalog(cat_url)\n",
+    "print(list(cat.datasets.keys()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Testing the code\n",
+    "Let's do a test to see if you are able to access files on the Thredds server and if all the correct packages are installed. We will start with 2 files for now and will have to adjust for the time frames later. Eventually if you wanted to use the whole catalog you just need to change, `for cds in cat.datasets[1:3]`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 312,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dsets = [catch_bad_file(cds)\n",
+    "         for cds in cat.datasets[1:3]]\n",
+    "# removes empty datasets\n",
+    "ds_non_none = [x for x in dsets if x is not None]\n",
+    "ds = xr.combine_by_coords(ds_non_none, combine_attrs='override')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Shows the variables and names of the data in the dataset that can be used."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 313,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<xarray.Dataset>\n",
+       " Dimensions:                 (range: 256, sweep: 1, time: 360, n_spectra: 256,\n",
+       "                              spectrum_n_samples: 32)\n",
+       " Coordinates:\n",
+       "   * range                   (range) float32 0.0 35.0 70.0 ... 8.89e+03 8.925e+03\n",
+       "   * time                    (time) datetime64[ns] 2023-06-01T02:00:00.0011051...\n",
+       "     elevation               (time) float32 ...\n",
+       "     azimuth                 (time) float32 ...\n",
+       " Dimensions without coordinates: sweep, n_spectra, spectrum_n_samples\n",
+       " Data variables: (12/31)\n",
+       "     volume_number           int32 ...\n",
+       "     time_coverage_start     |S128 ...\n",
+       "     time_coverage_end       |S128 ...\n",
+       "     time_reference          |S128 ...\n",
+       "     instrument_type         |S128 ...\n",
+       "     transfer_function       (range) float64 ...\n",
+       "     ...                      ...\n",
+       "     ML                      (time, range) float64 ...\n",
+       "     SNR                     (time, range) float32 ...\n",
+       "     index_spectra           (time, range) float64 ...\n",
+       "     spectrum_raw            (time, n_spectra, spectrum_n_samples) float64 ...\n",
+       "     N                       (time, n_spectra, spectrum_n_samples) float64 ...\n",
+       "     D                       (n_spectra, spectrum_n_samples) float64 ...\n",
+       " Attributes:\n",
+       "     Conventions:      CF/Radial\n",
+       "     version:          1.3\n",
+       "     title:            METEK MRR Pro 1.2.5 Data\n",
+       "     institution:      None\n",
+       "     references:       None\n",
+       "     source:           None\n",
+       "     history:          None\n",
+       "     comment:          None\n",
+       "     instrument_name:  METEK MRR Pro 1.2.5, ID: MRRPro97, METEK Serial Number:...\n",
+       "     site_name:        cms-mrr-002\n",
+       "     field_names:      Za,Z,Zea,Ze,RR,LWC,PIA,VEL,WIDTH,SNR,spectrum_reflectiv...,\n",
+       " <xarray.Dataset>\n",
+       " Dimensions:                 (range: 256, sweep: 1, time: 360, n_spectra: 256,\n",
+       "                              spectrum_n_samples: 32)\n",
+       " Coordinates:\n",
+       "   * range                   (range) float32 0.0 35.0 70.0 ... 8.89e+03 8.925e+03\n",
+       "   * time                    (time) datetime64[ns] 2023-06-01T04:00:00.0010859...\n",
+       "     elevation               (time) float32 ...\n",
+       "     azimuth                 (time) float32 ...\n",
+       " Dimensions without coordinates: sweep, n_spectra, spectrum_n_samples\n",
+       " Data variables: (12/31)\n",
+       "     volume_number           int32 ...\n",
+       "     time_coverage_start     |S128 ...\n",
+       "     time_coverage_end       |S128 ...\n",
+       "     time_reference          |S128 ...\n",
+       "     instrument_type         |S128 ...\n",
+       "     transfer_function       (range) float64 ...\n",
+       "     ...                      ...\n",
+       "     ML                      (time, range) float64 ...\n",
+       "     SNR                     (time, range) float32 ...\n",
+       "     index_spectra           (time, range) float64 ...\n",
+       "     spectrum_raw            (time, n_spectra, spectrum_n_samples) float64 ...\n",
+       "     N                       (time, n_spectra, spectrum_n_samples) float64 ...\n",
+       "     D                       (n_spectra, spectrum_n_samples) float64 ...\n",
+       " Attributes:\n",
+       "     Conventions:      CF/Radial\n",
+       "     version:          1.3\n",
+       "     title:            METEK MRR Pro 1.2.5 Data\n",
+       "     institution:      None\n",
+       "     references:       None\n",
+       "     source:           None\n",
+       "     history:          None\n",
+       "     comment:          None\n",
+       "     instrument_name:  METEK MRR Pro 1.2.5, ID: MRRPro97, METEK Serial Number:...\n",
+       "     site_name:        cms-mrr-002\n",
+       "     field_names:      Za,Z,Zea,Ze,RR,LWC,PIA,VEL,WIDTH,SNR,spectrum_reflectiv...]"
+      ]
+     },
+     "execution_count": 313,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dsets"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Shows the times that are being plotted."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 315,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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+       "\n",
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+       "\n",
+       "html[theme=dark],\n",
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+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
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+       "  margin-bottom: 4px;\n",
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+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
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+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
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+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
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+       "  display: contents;\n",
+       "}\n",
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+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
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+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
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+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;Ze&#x27; (time: 720, range: 256)&gt;\n",
+       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       ...,\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
+       "Coordinates:\n",
+       "  * range      (range) float32 0.0 35.0 70.0 ... 8.855e+03 8.89e+03 8.925e+03\n",
+       "  * time       (time) datetime64[ns] 2023-06-01T02:00:00.001105152 ... 2023-0...\n",
+       "    elevation  (time) float32 90.0 90.0 90.0 90.0 90.0 ... 90.0 90.0 90.0 90.0\n",
+       "    azimuth    (time) float32 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    standard_name:     equivalent_reflectivity_factor\n",
+       "    long_name:         None\n",
+       "    units:             dBZ\n",
+       "    field_folds:       false\n",
+       "    fold_limit_lower:  0.0\n",
+       "    fold_limit_upper:  0.0\n",
+       "    thresholding_xml:  None\n",
+       "    legend_xml:        None\n",
+       "    is_discreet:       false\n",
+       "    _ChunkSizes:       [  1 256]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Ze'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 720</li><li><span class='xr-has-index'>range</span>: 256</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5151b7a0-8a94-4c59-8fe8-3fdba1ac7173' class='xr-array-in' type='checkbox' checked><label for='section-5151b7a0-8a94-4c59-8fe8-3fdba1ac7173' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       ...,\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-14d2a6e5-bec8-4dae-bbd0-682ec9cbb1ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-14d2a6e5-bec8-4dae-bbd0-682ec9cbb1ec' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 35.0 ... 8.89e+03 8.925e+03</div><input id='attrs-418c369d-706e-41c8-9de8-31b24bf5f74a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-418c369d-706e-41c8-9de8-31b24bf5f74a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-981294ac-b62f-48e2-aefa-b921fa41cc71' class='xr-var-data-in' type='checkbox'><label for='data-981294ac-b62f-48e2-aefa-b921fa41cc71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>0.0</dd><dt><span>meters_between_gates :</span></dt><dd>35.0</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([   0.,   35.,   70., ..., 8855., 8890., 8925.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-06-01T02:00:00.001105152 .....</div><input id='attrs-b3150cfb-8002-4129-ab16-7108f82dad5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3150cfb-8002-4129-ab16-7108f82dad5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f15a3de3-0c64-4f47-bece-46af8429bf9f' class='xr-var-data-in' type='checkbox'><label for='data-f15a3de3-0c64-4f47-bece-46af8429bf9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time_in_seconds_since_volume_start</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-06-01T02:00:00.001105152&#x27;, &#x27;2023-06-01T02:00:10.001099008&#x27;,\n",
+       "       &#x27;2023-06-01T02:00:20.001112064&#x27;, ..., &#x27;2023-06-01T04:59:30.001105152&#x27;,\n",
+       "       &#x27;2023-06-01T04:59:40.001081088&#x27;, &#x27;2023-06-01T04:59:50.001081088&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 90.0 90.0 ... 90.0 90.0 90.0</div><input id='attrs-40a3c488-c0de-4cea-b025-367d49badd0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40a3c488-c0de-4cea-b025-367d49badd0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9863218d-a05b-447d-9a39-f27c563079d2' class='xr-var-data-in' type='checkbox'><label for='data-9863218d-a05b-447d-9a39-f27c563079d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "...\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,\n",
+       "       90., 90., 90., 90., 90.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>azimuth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-dead01dc-700c-4603-ab7a-f6773138439a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dead01dc-700c-4603-ab7a-f6773138439a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17e49c35-8594-4135-a442-ebcfe6198e03' class='xr-var-data-in' type='checkbox'><label for='data-17e49c35-8594-4135-a442-ebcfe6198e03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>ray_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "...\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
+       "       0., 0., 0., 0., 0., 0.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89f1fb2b-c175-445d-8029-163c2251de69' class='xr-section-summary-in' type='checkbox'  ><label for='section-89f1fb2b-c175-445d-8029-163c2251de69' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d2904904-745e-4140-ae24-57e73cdbcb74' class='xr-index-data-in' type='checkbox'/><label for='index-d2904904-745e-4140-ae24-57e73cdbcb74' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,   35.0,   70.0,  105.0,  140.0,  175.0,  210.0,  245.0,\n",
+       "               280.0,  315.0,\n",
+       "              ...\n",
+       "              8610.0, 8645.0, 8680.0, 8715.0, 8750.0, 8785.0, 8820.0, 8855.0,\n",
+       "              8890.0, 8925.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;range&#x27;, length=256))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef66b29c-891f-411b-8d4d-6a5c10b94bca' class='xr-index-data-in' type='checkbox'/><label for='index-ef66b29c-891f-411b-8d4d-6a5c10b94bca' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-06-01 02:00:00.001105152&#x27;,\n",
+       "               &#x27;2023-06-01 02:00:10.001099008&#x27;,\n",
+       "               &#x27;2023-06-01 02:00:20.001112064&#x27;,\n",
+       "               &#x27;2023-06-01 02:00:30.001082880&#x27;,\n",
+       "               &#x27;2023-06-01 02:00:40.001101056&#x27;,\n",
+       "               &#x27;2023-06-01 02:00:50.001086976&#x27;,\n",
+       "               &#x27;2023-06-01 02:01:00.001084928&#x27;,\n",
+       "               &#x27;2023-06-01 02:01:10.001075968&#x27;,\n",
+       "               &#x27;2023-06-01 02:01:20.001096960&#x27;,\n",
+       "               &#x27;2023-06-01 02:01:30.001099008&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2023-06-01 04:58:20.001082880&#x27;,\n",
+       "               &#x27;2023-06-01 04:58:30.001091072&#x27;,\n",
+       "               &#x27;2023-06-01 04:58:40.001095936&#x27;,\n",
+       "               &#x27;2023-06-01 04:58:50.001089024&#x27;,\n",
+       "               &#x27;2023-06-01 04:59:00.001095936&#x27;,\n",
+       "               &#x27;2023-06-01 04:59:10.001101056&#x27;,\n",
+       "               &#x27;2023-06-01 04:59:20.001084928&#x27;,\n",
+       "               &#x27;2023-06-01 04:59:30.001105152&#x27;,\n",
+       "               &#x27;2023-06-01 04:59:40.001081088&#x27;,\n",
+       "               &#x27;2023-06-01 04:59:50.001081088&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=720, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-698499b2-0316-4c81-996c-4b3f08be1650' class='xr-section-summary-in' type='checkbox'  ><label for='section-698499b2-0316-4c81-996c-4b3f08be1650' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>equivalent_reflectivity_factor</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'Ze' (time: 720, range: 256)>\n",
+       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       ...,\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
+       "Coordinates:\n",
+       "  * range      (range) float32 0.0 35.0 70.0 ... 8.855e+03 8.89e+03 8.925e+03\n",
+       "  * time       (time) datetime64[ns] 2023-06-01T02:00:00.001105152 ... 2023-0...\n",
+       "    elevation  (time) float32 90.0 90.0 90.0 90.0 90.0 ... 90.0 90.0 90.0 90.0\n",
+       "    azimuth    (time) float32 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    standard_name:     equivalent_reflectivity_factor\n",
+       "    long_name:         None\n",
+       "    units:             dBZ\n",
+       "    field_folds:       false\n",
+       "    fold_limit_lower:  0.0\n",
+       "    fold_limit_upper:  0.0\n",
+       "    thresholding_xml:  None\n",
+       "    legend_xml:        None\n",
+       "    is_discreet:       false\n",
+       "    _ChunkSizes:       [  1 256]"
+      ]
+     },
+     "execution_count": 315,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds['Ze']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sample plot using the test data\n",
+    "Plotting the figure and as you can see there is no precipitation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 316,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x14c4642e0>"
+      ]
+     },
+     "execution_count": 316,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 900x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(9, 4))\n",
+    "ds['Ze'].plot(x='time', cmap='ChaseSpectral', vmin=-10, vmax=50)\n",
+    "# Uncomment if you want to save and rename the figure\n",
+    "#plt.savefig('June 15.png', dpi=300, bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Visualizing the MRR data\n",
+    "## Plotting one hour in a single plot\n",
+    "The code cell below picks one hour in a single day and downloads it as a dataset and displays its attributes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 317,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                 (range: 256, sweep: 1, time: 360, n_spectra: 256,\n",
+       "                             spectrum_n_samples: 32)\n",
+       "Coordinates:\n",
+       "  * range                   (range) float32 0.0 35.0 70.0 ... 8.89e+03 8.925e+03\n",
+       "  * time                    (time) datetime64[ns] 2023-07-15T19:00:00.0067289...\n",
+       "    elevation               (time) float32 ...\n",
+       "    azimuth                 (time) float32 ...\n",
+       "Dimensions without coordinates: sweep, n_spectra, spectrum_n_samples\n",
+       "Data variables: (12/31)\n",
+       "    volume_number           int32 ...\n",
+       "    time_coverage_start     |S128 ...\n",
+       "    time_coverage_end       |S128 ...\n",
+       "    time_reference          |S128 ...\n",
+       "    instrument_type         |S128 ...\n",
+       "    transfer_function       (range) float64 ...\n",
+       "    ...                      ...\n",
+       "    ML                      (time, range) float64 ...\n",
+       "    SNR                     (time, range) float32 ...\n",
+       "    index_spectra           (time, range) float64 ...\n",
+       "    spectrum_raw            (time, n_spectra, spectrum_n_samples) float64 ...\n",
+       "    N                       (time, n_spectra, spectrum_n_samples) float64 ...\n",
+       "    D                       (n_spectra, spectrum_n_samples) float64 ...\n",
+       "Attributes:\n",
+       "    Conventions:      CF/Radial\n",
+       "    version:          1.3\n",
+       "    title:            METEK MRR Pro 1.2.5 Data\n",
+       "    institution:      None\n",
+       "    references:       None\n",
+       "    source:           None\n",
+       "    history:          None\n",
+       "    comment:          None\n",
+       "    instrument_name:  METEK MRR Pro 1.2.5, ID: MRRPro97, METEK Serial Number:...\n",
+       "    site_name:        cms-mrr-002\n",
+       "    field_names:      Za,Z,Zea,Ze,RR,LWC,PIA,VEL,WIDTH,SNR,spectrum_reflectiv...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5e6b1ba1-add0-4620-92e5-1a3769f38364' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e6b1ba1-add0-4620-92e5-1a3769f38364' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>range</span>: 256</li><li><span>sweep</span>: 1</li><li><span class='xr-has-index'>time</span>: 360</li><li><span>n_spectra</span>: 256</li><li><span>spectrum_n_samples</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1c30d101-3ad1-40c1-9193-eef9f8875b7a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1c30d101-3ad1-40c1-9193-eef9f8875b7a' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 35.0 ... 8.89e+03 8.925e+03</div><input id='attrs-175679d5-475e-49e5-9acf-55f567706d2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-175679d5-475e-49e5-9acf-55f567706d2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d0906cf-8aa7-4bbe-87d3-78b6f95ece05' class='xr-var-data-in' type='checkbox'><label for='data-1d0906cf-8aa7-4bbe-87d3-78b6f95ece05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>0.0</dd><dt><span>meters_between_gates :</span></dt><dd>35.0</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([   0.,   35.,   70., ..., 8855., 8890., 8925.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-07-15T19:00:00.006728960 .....</div><input id='attrs-913a987c-ea79-4087-ae32-c5ec4a07fe37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-913a987c-ea79-4087-ae32-c5ec4a07fe37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edcba2f0-788d-4df0-8d1c-a689c88726bf' class='xr-var-data-in' type='checkbox'><label for='data-edcba2f0-788d-4df0-8d1c-a689c88726bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time_in_seconds_since_volume_start</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-07-15T19:00:00.006728960&#x27;, &#x27;2023-07-15T19:00:10.006705920&#x27;,\n",
+       "       &#x27;2023-07-15T19:00:20.006712832&#x27;, ..., &#x27;2023-07-15T19:59:30.006707968&#x27;,\n",
+       "       &#x27;2023-07-15T19:59:40.006707968&#x27;, &#x27;2023-07-15T19:59:50.006724096&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ed04499-d9b9-4eb4-856d-641fa01bad44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ed04499-d9b9-4eb4-856d-641fa01bad44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26a59b63-80f5-4c64-be34-ede6f8c49254' class='xr-var-data-in' type='checkbox'><label for='data-26a59b63-80f5-4c64-be34-ede6f8c49254' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>[360 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>azimuth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aea89806-7142-461d-8cd7-3fe7c371ed4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aea89806-7142-461d-8cd7-3fe7c371ed4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9b244a1-cbb3-480c-8741-8378ae1481ba' class='xr-var-data-in' type='checkbox'><label for='data-b9b244a1-cbb3-480c-8741-8378ae1481ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>ray_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>[360 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0579ef23-41be-4eff-9b77-7ff5a764c4c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-0579ef23-41be-4eff-9b77-7ff5a764c4c6' class='xr-section-summary' >Data variables: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>volume_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bcc6645b-9a1e-4d77-a71d-ddd979808e1c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bcc6645b-9a1e-4d77-a71d-ddd979808e1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44c04385-695d-4029-a64f-33b3fcf44925' class='xr-var-data-in' type='checkbox'><label for='data-44c04385-695d-4029-a64f-33b3fcf44925' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_start</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S128</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a31ee5df-e133-4366-9d18-36c103cb985f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a31ee5df-e133-4366-9d18-36c103cb985f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1570472d-88cc-48f5-812a-b45eb0c8c56e' class='xr-var-data-in' type='checkbox'><label for='data-1570472d-88cc-48f5-812a-b45eb0c8c56e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S128]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_coverage_end</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S128</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-17695f36-7579-4fd8-9c4b-ecbafbeb0665' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17695f36-7579-4fd8-9c4b-ecbafbeb0665' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6233b36-19f1-4fcb-833c-321f6d8001ac' class='xr-var-data-in' type='checkbox'><label for='data-b6233b36-19f1-4fcb-833c-321f6d8001ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S128]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_reference</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S128</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e80f048-5254-4ef3-9d3c-d69f480b1e7e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e80f048-5254-4ef3-9d3c-d69f480b1e7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee164c2a-ee9c-4f5d-852a-ceacfa581c63' class='xr-var-data-in' type='checkbox'><label for='data-ee164c2a-ee9c-4f5d-852a-ceacfa581c63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S128]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instrument_type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S128</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-863ae599-e80c-42e1-a6e0-fbcdb9f5198d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-863ae599-e80c-42e1-a6e0-fbcdb9f5198d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78174372-a7b4-4d1a-8afd-656fde0a84b6' class='xr-var-data-in' type='checkbox'><label for='data-78174372-a7b4-4d1a-8afd-656fde0a84b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S128]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transfer_function</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9014e4d0-6bb5-42f0-8540-42b7bde09403' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9014e4d0-6bb5-42f0-8540-42b7bde09403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27edc1ee-d5d5-4517-ae7b-eb6e68dc534c' class='xr-var-data-in' type='checkbox'><label for='data-27edc1ee-d5d5-4517-ae7b-eb6e68dc534c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[256 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>calibration_constant</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4bb51e1d-b8ed-44fe-a2f6-4a68d218e3a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4bb51e1d-b8ed-44fe-a2f6-4a68d218e3a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d58e1d2f-f25a-45fb-a1b1-0f6b86137b42' class='xr-var-data-in' type='checkbox'><label for='data-d58e1d2f-f25a-45fb-a1b1-0f6b86137b42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-372eb636-c1b2-4428-9374-d1ecbeef5697' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-372eb636-c1b2-4428-9374-d1ecbeef5697' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfbf0305-c4ef-4567-b801-18e71bf10b5b' class='xr-var-data-in' type='checkbox'><label for='data-cfbf0305-c4ef-4567-b801-18e71bf10b5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-902d5b2a-a3f0-4091-a2f8-6f296e669ef7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-902d5b2a-a3f0-4091-a2f8-6f296e669ef7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0b0bd7f-5ab3-4827-a89c-825b084208fc' class='xr-var-data-in' type='checkbox'><label for='data-d0b0bd7f-5ab3-4827-a89c-825b084208fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c6e2c47-4d5d-433f-9b44-520e70a36589' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c6e2c47-4d5d-433f-9b44-520e70a36589' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83298287-ab8f-4563-bc1a-f521399df085' class='xr-var-data-in' type='checkbox'><label for='data-83298287-ab8f-4563-bc1a-f521399df085' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>doppler_shift_spectrum</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5d55716-49d1-4f19-838e-1240b7ea8009' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5d55716-49d1-4f19-838e-1240b7ea8009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94c57f6a-9216-4046-8664-2f65ed72e46f' class='xr-var-data-in' type='checkbox'><label for='data-94c57f6a-9216-4046-8664-2f65ed72e46f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_number</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36076b8b-31e0-4c1e-ba82-a99e42f1123a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36076b8b-31e0-4c1e-ba82-a99e42f1123a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12314d05-dd00-4d33-86ff-2742ab66b9c4' class='xr-var-data-in' type='checkbox'><label for='data-12314d05-dd00-4d33-86ff-2742ab66b9c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_mode</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>|S128</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a92a2c1-9e33-4709-8387-d5ae64150529' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a92a2c1-9e33-4709-8387-d5ae64150529' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0706a70-b40b-40c6-8f7b-5597ad5ff518' class='xr-var-data-in' type='checkbox'><label for='data-a0706a70-b40b-40c6-8f7b-5597ad5ff518' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S128]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fixed_angle</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c6cf084-99a7-4d83-a68f-922d014c2ef6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c6cf084-99a7-4d83-a68f-922d014c2ef6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cfc13dc-145d-4332-809a-cb3cbd1762f8' class='xr-var-data-in' type='checkbox'><label for='data-1cfc13dc-145d-4332-809a-cb3cbd1762f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_start_ray_index</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5549df08-0d0d-4ae7-8dbe-bafbee4b3210' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5549df08-0d0d-4ae7-8dbe-bafbee4b3210' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-156b5806-7b92-403a-9b78-f9035b8faeba' class='xr-var-data-in' type='checkbox'><label for='data-156b5806-7b92-403a-9b78-f9035b8faeba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sweep_end_ray_index</span></div><div class='xr-var-dims'>(sweep)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d510b65-268e-4c84-8b0f-3a3d492db5b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d510b65-268e-4c84-8b0f-3a3d492db5b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92a5fe73-7006-4a12-b322-f302a041cdb8' class='xr-var-data-in' type='checkbox'><label for='data-92a5fe73-7006-4a12-b322-f302a041cdb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Za</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fedcc43e-2674-4d1d-8a8c-d02a20c9ad0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fedcc43e-2674-4d1d-8a8c-d02a20c9ad0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e774bf90-400e-47b1-b3a9-c623c3f1b3f7' class='xr-var-data-in' type='checkbox'><label for='data-e774bf90-400e-47b1-b3a9-c623c3f1b3f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>log_attenuated_reflectivity</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef141e1e-437a-440c-b288-b737057d7f0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef141e1e-437a-440c-b288-b737057d7f0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0896bc23-9e99-40ca-9db9-b47fb7bc1914' class='xr-var-data-in' type='checkbox'><label for='data-0896bc23-9e99-40ca-9db9-b47fb7bc1914' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>log_reflectivity</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zea</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f3a74aba-60ce-412d-897f-9879b9b22b19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3a74aba-60ce-412d-897f-9879b9b22b19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68ef75f8-8e39-4f35-a2ae-c6d47e8bf4a1' class='xr-var-data-in' type='checkbox'><label for='data-68ef75f8-8e39-4f35-a2ae-c6d47e8bf4a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>attenuated_equivalent_reflectivity_factor</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ze</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c15131dc-7f05-43ad-9b8d-2dfb1467d091' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c15131dc-7f05-43ad-9b8d-2dfb1467d091' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46733df2-dc1c-4df5-89ef-429c0af46e0b' class='xr-var-data-in' type='checkbox'><label for='data-46733df2-dc1c-4df5-89ef-429c0af46e0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>equivalent_reflectivity_factor</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RR</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-876644b6-ebf0-4f85-bc6f-7b69872c4752' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-876644b6-ebf0-4f85-bc6f-7b69872c4752' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de334b9a-0b4c-420f-97b1-5711382a9b8f' class='xr-var-data-in' type='checkbox'><label for='data-de334b9a-0b4c-420f-97b1-5711382a9b8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>rainfall_rate</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>mm h-1</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LWC</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eff419e0-31d0-43a6-ac23-659d306aa342' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eff419e0-31d0-43a6-ac23-659d306aa342' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96ff0e1e-dcbc-4574-8f81-ff8edc278646' class='xr-var-data-in' type='checkbox'><label for='data-96ff0e1e-dcbc-4574-8f81-ff8edc278646' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mass_concentration_of_liquid_water_in_air</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>g m-3</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PIA</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a55d5575-1af4-4f03-9ad7-addd9a056506' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a55d5575-1af4-4f03-9ad7-addd9a056506' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aa48c1e-f15d-43c1-9381-ed87d98031d6' class='xr-var-data-in' type='checkbox'><label for='data-2aa48c1e-f15d-43c1-9381-ed87d98031d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>path_integrated_rain_attenuation</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VEL</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-757bd695-68b7-4566-8b41-deb7774459e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-757bd695-68b7-4566-8b41-deb7774459e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a580a02-27ad-4472-aecd-b466f4c7d6b6' class='xr-var-data-in' type='checkbox'><label for='data-1a580a02-27ad-4472-aecd-b466f4c7d6b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>radial_velocity_of_scatterers_towards_instrument</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>field_folds :</span></dt><dd>true</dd><dt><span>fold_limit_lower :</span></dt><dd>-0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>5.8507977</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WIDTH</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98535428-40f9-408f-aa22-ba0775b8b6c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98535428-40f9-408f-aa22-ba0775b8b6c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9eb66714-d716-4946-bbfd-fc5e39a3af83' class='xr-var-data-in' type='checkbox'><label for='data-9eb66714-d716-4946-bbfd-fc5e39a3af83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>doppler_spectrum_width</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ML</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89369604-caf2-4010-9fe7-c6b2d15ca747' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89369604-caf2-4010-9fe7-c6b2d15ca747' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ae7464b-0f39-46c2-be17-1ffc34175c98' class='xr-var-data-in' type='checkbox'><label for='data-3ae7464b-0f39-46c2-be17-1ffc34175c98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>melting_layer</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>None</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SNR</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1327d632-74eb-4887-b72e-39809c05d5b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1327d632-74eb-4887-b72e-39809c05d5b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58443748-d445-4d19-8baa-6a96611a9960' class='xr-var-data-in' type='checkbox'><label for='data-58443748-d445-4d19-8baa-6a96611a9960' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>signal_to_noise_ratio</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>index_spectra</span></div><div class='xr-var-dims'>(time, range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd626f89-ef5b-427c-962a-72ff5523bd38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd626f89-ef5b-427c-962a-72ff5523bd38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-167f0577-f948-47c9-b579-0c67813e5cb3' class='xr-var-data-in' type='checkbox'><label for='data-167f0577-f948-47c9-b579-0c67813e5cb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>index variable spectra</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>None</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>true</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div><div class='xr-var-data'><pre>[92160 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spectrum_raw</span></div><div class='xr-var-dims'>(time, n_spectra, spectrum_n_samples)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f4d5527-31ba-4fda-8a3c-be5b6308ec15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f4d5527-31ba-4fda-8a3c-be5b6308ec15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8244bde6-1293-44d2-a054-4c6ebf93f9cc' class='xr-var-data-in' type='checkbox'><label for='data-8244bde6-1293-44d2-a054-4c6ebf93f9cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>log_attenuated_power</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>index_var_name :</span></dt><dd>None</dd><dt><span>block_avg_length :</span></dt><dd>0</dd><dt><span>is_spectrum :</span></dt><dd>true</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256  32]</dd></dl></div><div class='xr-var-data'><pre>[2949120 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>N</span></div><div class='xr-var-dims'>(time, n_spectra, spectrum_n_samples)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce231710-5c20-432a-bd5a-9f93ee03e320' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce231710-5c20-432a-bd5a-9f93ee03e320' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b6d5d0b-6c1c-40e9-89ca-640565679c0d' class='xr-var-data-in' type='checkbox'><label for='data-5b6d5d0b-6c1c-40e9-89ca-640565679c0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>drop_size_distribution</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>index_var_name :</span></dt><dd>None</dd><dt><span>block_avg_length :</span></dt><dd>0</dd><dt><span>is_spectrum :</span></dt><dd>true</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256  32]</dd></dl></div><div class='xr-var-data'><pre>[2949120 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>D</span></div><div class='xr-var-dims'>(n_spectra, spectrum_n_samples)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92da0610-63fc-4a10-ad7e-84cac6734346' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92da0610-63fc-4a10-ad7e-84cac6734346' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a4f161d-4b61-4a3d-ac24-babe5eb0c136' class='xr-var-data-in' type='checkbox'><label for='data-5a4f161d-4b61-4a3d-ac24-babe5eb0c136' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>drop_sizes</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>index_var_name :</span></dt><dd>None</dd><dt><span>block_avg_length :</span></dt><dd>0</dd><dt><span>is_spectrum :</span></dt><dd>true</dd></dl></div><div class='xr-var-data'><pre>[8192 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-20dc720d-13f2-4eee-a637-13c91d0564f5' class='xr-section-summary-in' type='checkbox'  ><label for='section-20dc720d-13f2-4eee-a637-13c91d0564f5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fff360c3-fe6e-42ff-b399-98c219f476b8' class='xr-index-data-in' type='checkbox'/><label for='index-fff360c3-fe6e-42ff-b399-98c219f476b8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,   35.0,   70.0,  105.0,  140.0,  175.0,  210.0,  245.0,\n",
+       "               280.0,  315.0,\n",
+       "              ...\n",
+       "              8610.0, 8645.0, 8680.0, 8715.0, 8750.0, 8785.0, 8820.0, 8855.0,\n",
+       "              8890.0, 8925.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;range&#x27;, length=256))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fe2ef367-a302-41ca-87e9-8ea688bf1866' class='xr-index-data-in' type='checkbox'/><label for='index-fe2ef367-a302-41ca-87e9-8ea688bf1866' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-07-15 19:00:00.006728960&#x27;,\n",
+       "               &#x27;2023-07-15 19:00:10.006705920&#x27;,\n",
+       "               &#x27;2023-07-15 19:00:20.006712832&#x27;,\n",
+       "               &#x27;2023-07-15 19:00:30.006701056&#x27;,\n",
+       "               &#x27;2023-07-15 19:00:40.006704128&#x27;,\n",
+       "               &#x27;2023-07-15 19:00:50.006708992&#x27;,\n",
+       "               &#x27;2023-07-15 19:01:00.006704128&#x27;,\n",
+       "               &#x27;2023-07-15 19:01:10.006706944&#x27;,\n",
+       "               &#x27;2023-07-15 19:01:20.006712064&#x27;,\n",
+       "               &#x27;2023-07-15 19:01:30.006701824&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2023-07-15 19:58:20.006721024&#x27;,\n",
+       "               &#x27;2023-07-15 19:58:30.006700032&#x27;,\n",
+       "               &#x27;2023-07-15 19:58:40.006722816&#x27;,\n",
+       "               &#x27;2023-07-15 19:58:50.006722048&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:00.006691072&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:10.006705152&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:20.006705152&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:30.006707968&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:40.006707968&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:50.006724096&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=360, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-31e8b356-4bed-4802-a787-750feac66676' class='xr-section-summary-in' type='checkbox'  ><label for='section-31e8b356-4bed-4802-a787-750feac66676' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF/Radial</dd><dt><span>version :</span></dt><dd>1.3</dd><dt><span>title :</span></dt><dd>METEK MRR Pro 1.2.5 Data</dd><dt><span>institution :</span></dt><dd>None</dd><dt><span>references :</span></dt><dd>None</dd><dt><span>source :</span></dt><dd>None</dd><dt><span>history :</span></dt><dd>None</dd><dt><span>comment :</span></dt><dd>None</dd><dt><span>instrument_name :</span></dt><dd>METEK MRR Pro 1.2.5, ID: MRRPro97, METEK Serial Number:  0515119169, Software:  MRR Pro 1.2.5</dd><dt><span>site_name :</span></dt><dd>cms-mrr-002</dd><dt><span>field_names :</span></dt><dd>Za,Z,Zea,Ze,RR,LWC,PIA,VEL,WIDTH,SNR,spectrum_reflectivity,N</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:                 (range: 256, sweep: 1, time: 360, n_spectra: 256,\n",
+       "                             spectrum_n_samples: 32)\n",
+       "Coordinates:\n",
+       "  * range                   (range) float32 0.0 35.0 70.0 ... 8.89e+03 8.925e+03\n",
+       "  * time                    (time) datetime64[ns] 2023-07-15T19:00:00.0067289...\n",
+       "    elevation               (time) float32 ...\n",
+       "    azimuth                 (time) float32 ...\n",
+       "Dimensions without coordinates: sweep, n_spectra, spectrum_n_samples\n",
+       "Data variables: (12/31)\n",
+       "    volume_number           int32 ...\n",
+       "    time_coverage_start     |S128 ...\n",
+       "    time_coverage_end       |S128 ...\n",
+       "    time_reference          |S128 ...\n",
+       "    instrument_type         |S128 ...\n",
+       "    transfer_function       (range) float64 ...\n",
+       "    ...                      ...\n",
+       "    ML                      (time, range) float64 ...\n",
+       "    SNR                     (time, range) float32 ...\n",
+       "    index_spectra           (time, range) float64 ...\n",
+       "    spectrum_raw            (time, n_spectra, spectrum_n_samples) float64 ...\n",
+       "    N                       (time, n_spectra, spectrum_n_samples) float64 ...\n",
+       "    D                       (n_spectra, spectrum_n_samples) float64 ...\n",
+       "Attributes:\n",
+       "    Conventions:      CF/Radial\n",
+       "    version:          1.3\n",
+       "    title:            METEK MRR Pro 1.2.5 Data\n",
+       "    institution:      None\n",
+       "    references:       None\n",
+       "    source:           None\n",
+       "    history:          None\n",
+       "    comment:          None\n",
+       "    instrument_name:  METEK MRR Pro 1.2.5, ID: MRRPro97, METEK Serial Number:...\n",
+       "    site_name:        cms-mrr-002\n",
+       "    field_names:      Za,Z,Zea,Ze,RR,LWC,PIA,VEL,WIDTH,SNR,spectrum_reflectiv..."
+      ]
+     },
+     "execution_count": 317,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds = cat.datasets[297]\n",
+    "ds = ds.remote_access(use_xarray=True)\n",
+    "ds"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This is a plot of Equivalent Reflectivity vs. Height for June 11th, 2023 with a colorbar"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 318,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1600x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(16,5))\n",
+    "ds[\"Ze\"].T.plot(cmap='Spectral_r', vmin=10, vmax=50)\n",
+    "plt.xlabel('Time [UTC]'), plt.ylabel('Height')\n",
+    "plt.ylim(0, 4000)\n",
+    "date_form = DateFormatter(\"%Y-%m-%d \\n %H:%M:%S\")\n",
+    "plt.gca().xaxis.set_major_formatter(date_form)\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's show 4 plots in one, just in case you want to see how different variables interact. This is a graph of Attenuation Corrected Reflectivity, Doppler Velocity, Spectral Width, and Signal to Noise Ratio vs. Height."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 319,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 8 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(4, 1, figsize=(10, 10))\n",
+    "ds[\"Zea\"].T.plot(cmap='Spectral_r', vmin=10, vmax=50, ax=ax[0])\n",
+    "ax[0].set_xlabel('Time [UTC]', fontsize=12), ax[0].set_ylabel('Height', fontsize=12)\n",
+    "ax[0].set_ylim(0, 5000)\n",
+    "ds[\"VEL\"].T.plot(cmap='coolwarm', vmin=-6, vmax=6, ax=ax[1])\n",
+    "ax[1].set_xlabel('Time [UTC]', fontsize=12), ax[1].set_ylabel('Height', fontsize=12)\n",
+    "ax[1].set_ylim(0, 5000)\n",
+    "ds[\"WIDTH\"].T.plot(cmap='Spectral_r', vmin=0, vmax=5, ax=ax[2])\n",
+    "ax[2].set_xlabel('Time [UTC]', fontsize=12), ax[2].set_ylabel('Height', fontsize=12)\n",
+    "ax[2].set_ylim(0, 5000)\n",
+    "ds[\"SNR\"].T.plot(cmap='Spectral_r', vmin=-10, vmax=60, ax=ax[3])\n",
+    "ax[3].set_xlabel('Time [UTC]', fontsize=12), ax[3].set_ylabel('Height', fontsize=12)\n",
+    "ax[3].set_ylim(0, 5000)\n",
+    "date_form = DateFormatter(\"%Y-%m-%d \\n %H:%M:%S\")\n",
+    "plt.gca().xaxis.set_major_formatter(date_form)\n",
+    "fig.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting multiple hours in one plot\n",
+    "The code cell below picks multiple hours in a single day, in this case 9 hours, and removes empty datasets so it creates a better plot overall."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 320,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Exception:  <class 'requests.exceptions.HTTPError'>\n"
+     ]
+    }
+   ],
+   "source": [
+    "# list comprehension for files only doing 9 files for now\n",
+    "dsets = [catch_bad_file(cds)\n",
+    "         for cds in cat.datasets[289:298]]\n",
+    "ds_non_none = [x for x in dsets if x is not None]\n",
+    "ds = xr.combine_by_coords(ds_non_none, combine_attrs='override')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This shows the times that are being plotted and its attributes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 321,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       ".xr-wrap {\n",
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+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
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+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
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+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
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+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
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+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
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+       "  font-weight: 500;\n",
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+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
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+       "\n",
+       ".xr-section-summary-in + label:before {\n",
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+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
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+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
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+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
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+       "\n",
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+       "  grid-column: 1;\n",
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+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;Ze&#x27; (time: 2880, range: 256)&gt;\n",
+       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       ...,\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
+       "Coordinates:\n",
+       "  * range      (range) float32 0.0 35.0 70.0 ... 8.855e+03 8.89e+03 8.925e+03\n",
+       "  * time       (time) datetime64[ns] 2023-07-15T02:00:00.006705920 ... 2023-0...\n",
+       "    elevation  (time) float32 90.0 90.0 90.0 90.0 90.0 ... 90.0 90.0 90.0 90.0\n",
+       "    azimuth    (time) float32 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    standard_name:     equivalent_reflectivity_factor\n",
+       "    long_name:         None\n",
+       "    units:             dBZ\n",
+       "    field_folds:       false\n",
+       "    fold_limit_lower:  0.0\n",
+       "    fold_limit_upper:  0.0\n",
+       "    thresholding_xml:  None\n",
+       "    legend_xml:        None\n",
+       "    is_discreet:       false\n",
+       "    _ChunkSizes:       [  1 256]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Ze'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2880</li><li><span class='xr-has-index'>range</span>: 256</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-561209d1-b468-4117-8d00-6807a5fbe098' class='xr-array-in' type='checkbox' checked><label for='section-561209d1-b468-4117-8d00-6807a5fbe098' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       ...,\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-da44de47-f56f-4679-a33a-1e4331765101' class='xr-section-summary-in' type='checkbox'  checked><label for='section-da44de47-f56f-4679-a33a-1e4331765101' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range</span></div><div class='xr-var-dims'>(range)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 35.0 ... 8.89e+03 8.925e+03</div><input id='attrs-9b130270-eba7-4d83-bfe0-dcc0e978b760' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b130270-eba7-4d83-bfe0-dcc0e978b760' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6619fdb4-be21-4152-8a58-65384aadfa83' class='xr-var-data-in' type='checkbox'><label for='data-6619fdb4-be21-4152-8a58-65384aadfa83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_range_coordinate</dd><dt><span>long_name :</span></dt><dd>range_to_measurement_volume</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>spacing_is_constant :</span></dt><dd>true</dd><dt><span>meters_to_center_of_first_gate :</span></dt><dd>0.0</dd><dt><span>meters_between_gates :</span></dt><dd>35.0</dd><dt><span>axis :</span></dt><dd>radial_range_coordinate</dd></dl></div><div class='xr-var-data'><pre>array([   0.,   35.,   70., ..., 8855., 8890., 8925.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-07-15T02:00:00.006705920 .....</div><input id='attrs-d3cde5df-b354-4b80-94e2-93f20bc7ceb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3cde5df-b354-4b80-94e2-93f20bc7ceb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4be3035-fd93-4f35-a748-08fe74963939' class='xr-var-data-in' type='checkbox'><label for='data-a4be3035-fd93-4f35-a748-08fe74963939' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time_in_seconds_since_volume_start</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>512</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-07-15T02:00:00.006705920&#x27;, &#x27;2023-07-15T02:00:10.006702848&#x27;,\n",
+       "       &#x27;2023-07-15T02:00:20.006696960&#x27;, ..., &#x27;2023-07-15T19:59:30.006707968&#x27;,\n",
+       "       &#x27;2023-07-15T19:59:40.006707968&#x27;, &#x27;2023-07-15T19:59:50.006724096&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>elevation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 90.0 90.0 ... 90.0 90.0 90.0</div><input id='attrs-5fdd30dc-55a5-4e49-abd5-cff5c76ea550' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fdd30dc-55a5-4e49-abd5-cff5c76ea550' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb407b5f-21d9-4bd7-b8bc-6ded51a414a2' class='xr-var-data-in' type='checkbox'><label for='data-eb407b5f-21d9-4bd7-b8bc-6ded51a414a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>ray_elevation_angle</dd><dt><span>long_name :</span></dt><dd>elevation_angle_from_horizontal_plane</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_elevation_coordinate</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([90., 90., 90., ..., 90., 90., 90.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>azimuth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-71f37ebf-f047-4ba6-a4b5-f2aa9d782022' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71f37ebf-f047-4ba6-a4b5-f2aa9d782022' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27d80e25-97b6-45ce-a306-8d0b522adf8f' class='xr-var-data-in' type='checkbox'><label for='data-27d80e25-97b6-45ce-a306-8d0b522adf8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>ray_azimuth_angle</dd><dt><span>long_name :</span></dt><dd>azimuth_angle_from_true_north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>axis :</span></dt><dd>radial_azimuth_coordinate</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., ..., 0., 0., 0.], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-565b8a8d-170d-4ae4-b1e9-bd03873edd71' class='xr-section-summary-in' type='checkbox'  ><label for='section-565b8a8d-170d-4ae4-b1e9-bd03873edd71' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-163e46ae-7582-450f-84a5-8b560d784c2d' class='xr-index-data-in' type='checkbox'/><label for='index-163e46ae-7582-450f-84a5-8b560d784c2d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([   0.0,   35.0,   70.0,  105.0,  140.0,  175.0,  210.0,  245.0,\n",
+       "               280.0,  315.0,\n",
+       "              ...\n",
+       "              8610.0, 8645.0, 8680.0, 8715.0, 8750.0, 8785.0, 8820.0, 8855.0,\n",
+       "              8890.0, 8925.0],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;range&#x27;, length=256))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cd1a18ae-a0fb-4b02-982f-0abae35b10f2' class='xr-index-data-in' type='checkbox'/><label for='index-cd1a18ae-a0fb-4b02-982f-0abae35b10f2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-07-15 02:00:00.006705920&#x27;,\n",
+       "               &#x27;2023-07-15 02:00:10.006702848&#x27;,\n",
+       "               &#x27;2023-07-15 02:00:20.006696960&#x27;,\n",
+       "               &#x27;2023-07-15 02:00:30.006696960&#x27;,\n",
+       "               &#x27;2023-07-15 02:00:40.006712832&#x27;,\n",
+       "               &#x27;2023-07-15 02:00:50.006719232&#x27;,\n",
+       "               &#x27;2023-07-15 02:01:00.006701824&#x27;,\n",
+       "               &#x27;2023-07-15 02:01:10.006697984&#x27;,\n",
+       "               &#x27;2023-07-15 02:01:20.006705920&#x27;,\n",
+       "               &#x27;2023-07-15 02:01:30.006701824&#x27;,\n",
+       "               ...\n",
+       "               &#x27;2023-07-15 19:58:20.006721024&#x27;,\n",
+       "               &#x27;2023-07-15 19:58:30.006700032&#x27;,\n",
+       "               &#x27;2023-07-15 19:58:40.006722816&#x27;,\n",
+       "               &#x27;2023-07-15 19:58:50.006722048&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:00.006691072&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:10.006705152&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:20.006705152&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:30.006707968&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:40.006707968&#x27;,\n",
+       "               &#x27;2023-07-15 19:59:50.006724096&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2880, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-baae50d2-7ace-496c-967b-0ca4768dfb94' class='xr-section-summary-in' type='checkbox'  ><label for='section-baae50d2-7ace-496c-967b-0ca4768dfb94' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>equivalent_reflectivity_factor</dd><dt><span>long_name :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>field_folds :</span></dt><dd>false</dd><dt><span>fold_limit_lower :</span></dt><dd>0.0</dd><dt><span>fold_limit_upper :</span></dt><dd>0.0</dd><dt><span>thresholding_xml :</span></dt><dd>None</dd><dt><span>legend_xml :</span></dt><dd>None</dd><dt><span>is_discreet :</span></dt><dd>false</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 256]</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'Ze' (time: 2880, range: 256)>\n",
+       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       ...,\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan],\n",
+       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
+       "Coordinates:\n",
+       "  * range      (range) float32 0.0 35.0 70.0 ... 8.855e+03 8.89e+03 8.925e+03\n",
+       "  * time       (time) datetime64[ns] 2023-07-15T02:00:00.006705920 ... 2023-0...\n",
+       "    elevation  (time) float32 90.0 90.0 90.0 90.0 90.0 ... 90.0 90.0 90.0 90.0\n",
+       "    azimuth    (time) float32 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
+       "Attributes:\n",
+       "    standard_name:     equivalent_reflectivity_factor\n",
+       "    long_name:         None\n",
+       "    units:             dBZ\n",
+       "    field_folds:       false\n",
+       "    fold_limit_lower:  0.0\n",
+       "    fold_limit_upper:  0.0\n",
+       "    thresholding_xml:  None\n",
+       "    legend_xml:        None\n",
+       "    is_discreet:       false\n",
+       "    _ChunkSizes:       [  1 256]"
+      ]
+     },
+     "execution_count": 321,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds['Ze']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A plot of equivalent reflectivity for the hours of July 15th, 2023. As you notice there is rain at 19:00"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 322,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x14cf14730>"
+      ]
+     },
+     "execution_count": 322,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(9, 4))\n",
+    "ds['Ze'].plot(x='time', cmap='ChaseSpectral', vmin=-10, vmax=50)\n",
+    "#plt.savefig('July 15.png', dpi=300, bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "Within this notebook, we covered the basics of working with MRR radar data using the CROCUS Thredds Server, including:\n",
+    "- Reading the MRR data through the CROCUS Thredds Server\n",
+    "- Visualizing the radar data\n",
+    "## Resources and References\n",
+    "CROCUS Thredds Server essential link:\n",
+    "- [Thredds](https://thredds.crocus-urban.org/thredds/catalog/neiu-mrrpro-a1/catalog.html)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/mrr/README.md b/notebooks/mrr/README.md
new file mode 100644
index 0000000000..6f958ae26b
--- /dev/null
+++ b/notebooks/mrr/README.md
@@ -0,0 +1 @@
+Notebooks for viewing mrr data
diff --git a/notebooks/mrr/ecr-icon.jpg b/notebooks/mrr/ecr-icon.jpg
new file mode 100644
index 0000000000..946fd0a976
Binary files /dev/null and b/notebooks/mrr/ecr-icon.jpg differ
diff --git a/notebooks/mrr/mrr.yml b/notebooks/mrr/mrr.yml
new file mode 100644
index 0000000000..2fb21f97f2
--- /dev/null
+++ b/notebooks/mrr/mrr.yml
@@ -0,0 +1,14 @@
+name: mrr_env
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - python
+  - arm_pyart
+  - matplotlib
+  - pip
+  - cmweather
+  - siphon
+  - xarray
+  - numpy
+  - jupyterlab
\ No newline at end of file